Traditional diagnostic tools for depression,such as the Patient Health Questionnaire-9,are susceptible to subjective bias,increasing the risk of misdiagnosis and emphasizing the critical need for objective biomarkers....Traditional diagnostic tools for depression,such as the Patient Health Questionnaire-9,are susceptible to subjective bias,increasing the risk of misdiagnosis and emphasizing the critical need for objective biomarkers.This minireview evaluates the emerging role of portable electroencephalography(EEG)as a cost-effective,accessible solution for early depression detection.By synthesizing findings from 45 studies(selected from 764 screened articles),we highlight EEG’s capacity to identify aberrant neural oscillations associated with core depressive symptoms,including anhedonia,excessive guilt,and persistent low mood.Advances in portable systems demonstrate promising classification accuracy when integrated with machine learning algorithms,with long short-term memory models achieving>90%accuracy in recent trials.However,persistent challenges,such as signal quality variability,motion artifacts,and limited clinical validation,hinder widespread adoption.Further innovation in sensor optimization,multimodal data integration,and real-world clinical trials is essential to translate portable EEG into a reliable diagnostic tool.This minireview underscores the transformative potential of neurotechnology in psychiatry while advocating for rigorous standard ization to bridge the gap between research and clinical practice.展开更多
The perception of salty taste is crucial for individuals to make healthy food choices.Yet,the brain electrophysiological signals underlying salty taste perception have been poorly described.In this study,electroenceph...The perception of salty taste is crucial for individuals to make healthy food choices.Yet,the brain electrophysiological signals underlying salty taste perception have been poorly described.In this study,electroencephalography(EEG)was used to record brain activity induced by Na Cl solution as a salty taste stimulus.A combination of a custom delivery device and stimulation paradigm was employed to preserve the salty taste signal clearly.A stimulus-response capture method was proposed that could adapt to individual differences in brain responses to salty taste and accurately segment salty taste response signals.Applying this method to the EEG processing workflow can form a complete data processing framework.The results showed that the neural response induced by salty taste reached a high activity level in the initial stage within a short period(0.2 s),and there was a sustained periodic response within 0.75 s after the stimulation.Moreover,the salty taste information in the EEG signal was decoded,and discrimination of 2 similar concentrations of salty taste solutions was achieved far above the chance level(average identification rate:89.66%).This study demonstrated experimental paradigms and research methods for understanding salty taste perception,which could provide references for research on other basic tastes.展开更多
BACKGROUND A growing number of recent studies have explored underlying activity in the brain by measuring electroencephalography(EEG)in people with depression.However,the consistency of findings on EEG microstates in ...BACKGROUND A growing number of recent studies have explored underlying activity in the brain by measuring electroencephalography(EEG)in people with depression.However,the consistency of findings on EEG microstates in patients with depression is poor,and few studies have reported the relationship between EEG microstates,cognitive scales,and depression severity scales.AIM To investigate the EEG microstate characteristics of patients with depression and their association with cognitive functions.METHODS A total of 24 patients diagnosed with depression and 32 healthy controls were included in this study using the Structured Clinical Interview for Disease for The Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition.We collected information relating to demographic and clinical characteristics,as well as data from the Repeatable Battery for the Assessment of Neuropsychological Status(RBANS;Chinese version)and EEG.RESULTS Compared with the controls,the duration,occurrence,and contribution of microstate C were significantly higher[depression(DEP):Duration 84.58±24.35,occurrence 3.72±0.56,contribution 30.39±8.59;CON:Duration 72.77±10.23,occurrence 3.41±0.36,contribution 24.46±4.66;Duration F=6.02,P=0.049;Occurrence F=6.19,P=0.049;Contribution F=10.82,P=0.011]while the duration,occurrence,and contribution of microstate D were significantly lower(DEP:Duration 70.00±15.92,occurrence 3.18±0.71,contribution 22.48±8.12;CON:Duration 85.46±10.23,occurrence 3.54±0.41,contribution 28.25±5.85;Duration F=19.18,P<0.001;Occurrence F=5.79,P=0.050;Contribution F=9.41,P=0.013)in patients with depression.A positive correlation was observed between the visuospatial/constructional scores of the RBANS scale and the transition probability of microstate class C to B(r=0.405,P=0.049).CONCLUSION EEG microstate,especially C and D,is a possible biomarker in depression.Patients with depression had a more frequent transition from microstate C to B,which may relate to more negative rumination and visual processing.展开更多
Attention constitutes a fundamental psychological feature guiding our mental effort toward specific objects, concurrent with processes such as memory, reasoning, and imagination. Visual attention, crucial for selectin...Attention constitutes a fundamental psychological feature guiding our mental effort toward specific objects, concurrent with processes such as memory, reasoning, and imagination. Visual attention, crucial for selecting surrounding information, often decreases in older adults and patients with cerebrovascular disorders. Effective methods to enhance attention are scarce. Here, we investigated whether color information influences visual attention and brain activity during task performance, utilizing EEG. We examined 13 healthy young adults (seven women and six men;mean age: 21.2 ± 0.58 years) using 19-electrode electroencephalograms to assess the impact of color information on visual attention. The Clinical Assessment for Attention cancellation test was conducted under the black, red, and blue color conditions. Wilcoxon’s signed-rank test was used to assess differences in task performance (task time and error) between conditions. Spearman’s rank correlation was utilized to examine the correlation in power levels between task performance and color conditions. Significant variations in total task errors were observed among color conditions. The black condition exhibited the highest error frequency (0.7 ± 0.9 times), followed by the red condition (0.5 ± 0.8 times), with the lowest error frequency occurring in the blue (0.2 ± 0.4 times) condition (black vs. red: P = 0.03;black vs. blue: P = 0.00;red vs. blue: P = 0.032). No time difference was observed. The black condition showed negative delta and high-gamma correlations in the central electrodes. The red condition revealed positive alpha and low-gamma correlations in the frontal and occipital areas. Although no correlations were observed in the blue condition, it enhanced attentional performance. Positive alpha and low-gamma waves might be crucial for spotting attentional errors in key areas. Our findings provide insights into the effects of color information on visual attention and potential neural correlates associated with attentional processes. In conclusion, our study implies a connection between color information and attentional task performance, with blue font associated with the most accurate performance.展开更多
Prognostication of coma patients after brain injury is important, yet challenging. In this study, we evaluated the predictive value of amplitude-integrated electroencephalography （aEEG） for neurological outcomes in ...Prognostication of coma patients after brain injury is important, yet challenging. In this study, we evaluated the predictive value of amplitude-integrated electroencephalography （aEEG） for neurological outcomes in coma patients. From January 2013 to January 2016, 128 coma patients after acute brain injury were prospectively enrolled and monitored with aEEG. The 6-month neurological outcome was evaluated using the Cerebral Performance Category Scale. aEEG monitoring commenced at a median of 7.5 days after coma onset. Continuous normal voltage predicted a good 6-month neurological outcome with a sensitivity of 93.6% and specificity of 85.2%. In contrast, continuous extremely low voltage, burst-suppression, or a flat tracing was correlated with poor 6-month neurological outcome with a sensitivity of 76.5% and specificity of 100%. In conclusion, aEEG is a promising predictor of 6-month neurological outcome for coma patients after acute brain injury.展开更多
Auditory stimuli are proposed as beneficial neurorehabilitation methods in patients with disorders of consciousness. However, precise and accurate quantitative indices to estimate their potential effect remain scarce....Auditory stimuli are proposed as beneficial neurorehabilitation methods in patients with disorders of consciousness. However, precise and accurate quantitative indices to estimate their potential effect remain scarce. Fourteen patients were recruited from the Neuro-Rehabilitation Unit of Hangzhou Hospital of Zhejiang Armed Police Corps of China. Altogether, there were seven cases of unresponsive wakefulness syndrome（five males and two females, aged 45.7 ± 16.8 years） and seven cases of minimally conscious state（six males and one female, aged 42.3 ± 20.8 years）. Simultaneously, fourteen healthy controls（10 males and 4 females, aged 51.7 ± 9.7 years） also participated in this case-control experiment. Brain response to music, subjects＇ own name, and noise was monitored by quantitative electroencephalography（QEEG） in the resting state and with acoustic stimulation. Predictive QEEG values in various brain regions were investigated. Our results show that cerebral activation was high in subjects stimulated by their own name, especially in the temporal lobe in patients with disorders of consciousness, and the frontal lobe in the control group. Further, during resting and stimulation, QEEG index（δ ＋ θ/α ＋ β ratio） negatively correlated with the Coma Recovery Scale-Revised score in traumatic disorders of consciousness patients. Hence, we speculate that a subject＇s own name might be an effective awakening therapy for patients with disorders of consciousness. Moreover, QEEG index in specific stimulation states may be used as a prognostic indicator for disorders of consciousness patients（sensitivity, 75%; specificity, 50%）.展开更多
Intracranial electroencephalography（i EEG）provides the best precision in estimating the location and boundary of an epileptogenic zone. Analysis of i EEG in the routine EEG frequency range（0.5-70 Hz） remains the b...Intracranial electroencephalography（i EEG）provides the best precision in estimating the location and boundary of an epileptogenic zone. Analysis of i EEG in the routine EEG frequency range（0.5-70 Hz） remains the basis in clinical practice. Low-voltage fast activity is the most commonly reported ictal onset pattern in neocortical epilepsy, and low-frequency high-amplitude repetitive spiking is the most commonly reported ictal onset pattern in mesial temporal lobe epilepsy. Recent studies using wideband EEG recording have demonstrated that examining higher（80-1000 Hz） and lower（0.016-0.5 Hz） EEG frequencies can provide additional diagnostic information and help to improve the surgical outcome. In addition,novel computational techniques of i EEG signal analysis have provided new insights into the epileptic network.Here, we review some of these recent advances. Although these sophisticated and advanced techniques of i EEG analysis show promise in localizing the epileptogenic zone,their utility needs to be further validated in larger studies.展开更多
Objective: Optimization of combining electroencephalography (EEG), short latency somatosensory evoked potentials (SLSEP) and transcranial Doppler (TCD) techniques to diagnose brain death. Methods: One hundred and elev...Objective: Optimization of combining electroencephalography (EEG), short latency somatosensory evoked potentials (SLSEP) and transcranial Doppler (TCD) techniques to diagnose brain death. Methods: One hundred and eleven patients (69 males, 42 females) from the major hospitals of Zhejiang Province were examined with portable EEG, SLSEP and TCD devices. Re-examinations occurred ≤12 h later. Results: The first examination revealed that the combination of SLSEP and EEG led to more sensitive diagnoses than the combination of SLSEP and TCD. Re-examination confirmed this and also revealed that the combination of TCD and EEG was the most sensitive. Conclusion: The results show that using multiple techniques to diagnose brain death is superior to using single method, and that the combination of SLSEP and EEG is better than other combinations.展开更多
The purpose of this paper is to analyze sleep stages accurately using fast and simple classifiers based on the frequency domain of electroencephalography(EEG) signal. To compare and evaluate system performance, the ru...The purpose of this paper is to analyze sleep stages accurately using fast and simple classifiers based on the frequency domain of electroencephalography(EEG) signal. To compare and evaluate system performance, the rules of Rechtschaffen and Kales(R&K rule) were used. Parameters were extracted from preprocessing process of EEG signal as feature vectors of each sleep stage analysis system through representatives of back propagation algorithm and support vector machine (SVM). As a result, SVM showed better performance as pattern recognition system for classification of sleep stages. It was found that easier analysis of sleep stage was possible using such simple system. Since accurate estimation of sleep state is possible through combination of algorithms, we could see the potential for the classifier to be used for sleep analysis system.展开更多
Removing different types of artifacts from the electroencephalography(EEG)recordings is a critical step in performing EEG signal analysis and diagnosis.Most of the existing algorithms aim for removing single type of a...Removing different types of artifacts from the electroencephalography(EEG)recordings is a critical step in performing EEG signal analysis and diagnosis.Most of the existing algorithms aim for removing single type of artifacts,leading to a complex system if an EEG recording contains different types of artifacts.With the advancement in wearable technologies,it is necessary to develop an energy-efficient algorithm to deal with different types of artifacts for single-channel wearable EEG devices.In this paper,an automatic EEG artifact removal algorithm is proposed that effectively reduces three types of artifacts,i.e.,ocular artifact(OA),transmission-line/harmonic-wave artifact(TA/HA),and muscle artifact(MA),from a single-channel EEG recording.The effectiveness of the proposed algorithm is verified on both simulated noisy EEG signals and real EEG from CHB-MIT dataset.The experimental results show that the proposed algorithm effectively suppresses OA,MA and TA/HA from a single-channel EEG recording as well as physical movement artifact.展开更多
Repetitive transcranial magnetic stimulation is a noninvasive treatment technique that can directly alter cortical excitability and improve cerebral functional activity in unconscious patients. To investigate the effe...Repetitive transcranial magnetic stimulation is a noninvasive treatment technique that can directly alter cortical excitability and improve cerebral functional activity in unconscious patients. To investigate the effects and the electrophysiological changes of repetitive transcranial magnetic stimulation cortical treatment, 10 stroke patients with non-severe brainstem lesions and with disturbance of consciousness were treated with repetitive transcranial magnetic stimulation. A quantitative electroencephalography spectral power analysis was also performed. The absolute power in the alpha band was increased immediately after the first repetitive transcranial magnetic stimulation treatment, and the energy was reduced in the delta band. The alpha band relative power values slightly decreased at 1 day post-treatment, then increased and reached a stable level at 2 weeks post-treatment. Glasgow Coma Score and JFK Coma Recovery Scale-Revised score were improved. Relative power value in the alpha band was positively related to Glasgow Coma Score and JFK Coma Recovery Scale-Revised score. These data suggest that repetitive transcranial magnetic stimulation is a noninvasive, safe, and effective treatment technology for improving brain functional activity and promoting awakening in unconscious stroke patients.展开更多
Brain-computer interface is a communication system that connects the brain with computer （or other devices） but is not dependent on the normal output of the brain （i.e., peripheral nerve and muscle）. Electro-oculo...Brain-computer interface is a communication system that connects the brain with computer （or other devices） but is not dependent on the normal output of the brain （i.e., peripheral nerve and muscle）. Electro-oculogram is a dominant artifact which has a significant negative influence on further analysis of real electroencephalography data. This paper presented a data adaptive technique for artifact suppression and brain wave extraction from electroencephalography signals to detect regional brain activities. Empirical mode decomposition based adaptive thresholding approach was employed here to suppress the electro-oculogram artifact. Fractional Gaussian noise was used to determine the threshold level derived from the analysis data without any training. The purified electroencephalography signal was composed of the brain waves also called rhythmic components which represent the brain activities. The rhythmic components were extracted from each electroencephalography channel using adaptive wiener filter with the original scale. The regional brain activities were mapped on the basis of the spatial distribution of rhythmic components, and the results showed that different regions of the brain are activated in response to different stimuli. This research analyzed the activities of a single rhythmic component, alpha with respect to different motor imaginations. The experimental results showed that the proposed method is very efficient in artifact suppression and identifying individual motor imagery based on the activities of alpha component.展开更多
BACKGROUND： Twenty-four hour ambulatory electroencephatography （AEEG） provides advantages for continuous electroencephalogram, monitoring brief loss of consciousness complicated by suspect or mild limb spasm. OBJEC...BACKGROUND： Twenty-four hour ambulatory electroencephatography （AEEG） provides advantages for continuous electroencephalogram, monitoring brief loss of consciousness complicated by suspect or mild limb spasm. OBJECTIVE： To explore the significance of AEEG for differentially diagnosing epilepsy and syncope, compared to EEG. DESIGN, TIME AND SETTING： Sixty patients with brief loss of consciousness, complicated by suspect or mild limb spasm, were selected from Suqian People＇s Hospital between January 2006 and June 2007. PARTICIPANTS： Sixty participants comprised 34 males and 26 females, aged 13-64 years. According to clinical symptoms prior to the study, 36 patients were initially diagnosed with epilepsy and 24 with syncope. METHODS AND MAIN OUTCOME MEASURES： Abnormalities and epileptiform discharge were detected using EEG and AEEG, and the diagnostic value of the two methods for epilepsy and syncope was compared. RESULTS： A total of sixty patients were included in the final analysis. Abnormal AEEGs were observed in 37 cases （62%） and epileptiform discharge AEEGs in 23 cases （38%）, both of which were significantly greater than EEGs [37% （22/60）, 18% （11/60）, respectively, P 〈 0.01, 0.05]. The detection rate of abnormal AEEG and epileptiform discharge in the epilepsy group [75% （27/36）, 47% （17/36）, respectively was significantly greater than in the syncope group [42% （10/24）, 25% （6/24）, respectively, P 〈 0.01, 0.05]. CONCLUSION： AEEG can improve detection probability of epileptiform discharge and exhibits significant differences in the differential diagnosis of epilepsy and syncope.展开更多
BACKGROUND： Quantitative pharmaco-electroencephalography can be used for studying the dose-effect and time-effect relationships of drugs affecting central nervous system. Therefore, it may become an effective means f...BACKGROUND： Quantitative pharmaco-electroencephalography can be used for studying the dose-effect and time-effect relationships of drugs affecting central nervous system. Therefore, it may become an effective means for monitoring the anesthetic degree of anesthetic drug in the operation. OBJECTIVE： To observe the dose-effect relationship of propofol influencing β2-band power of quantitative pharmaco-electroencephalography in rabbits. DESIGN： A randomized block design. SETTING： Department of Anesthesiology, Xuzhou Medical College. MATERIALS： Thirty-six healthy adult rabbits of either gender, weighing （2.4 ± 0.5 ） kg, of clean grade, were provided by the Laboratory Animal Center of Xuzhou Medical College. The involved rabbits were randomly divided into 3 groups with 12 in each by table of random digit： high-dose propofol group, moderate-dose propofol group, and low-dose propofol group. The protocol was carried out in accordance with animal ethics guidelines for the use and care of animals. METHODS： This study was carried out in the Department of Anesthesiology, Xuzhou Medical College between August 1999 and April 2000. Rabbits in the high-dose propofol group, moderate-dose propofol group, and low-dose propofol group were injected with 10, 5 and 2.5 mg/kg propofol （ZENECA Company, British, Batch No. 032000）, respectively. Before and after intravenous administration of propofol, percentage of β2-band power of quantitative pharmaco-electroencephalography was measured, and the latent and persistent periods when rabbit righting reflex disappeared were observed by quantitative pharmaco-electroencephalography and power spectrum analysis. MAIN OUTCOME MEASURES： （1） Percentage of β2-band power of quantitative pharmaco-electroencephalography. （2）Latent period and persistent period of abolition of righting reflex of rabbits. RESULTS： Thirty-six rabbits were involved in the final analysis. （1）Effect of propofol on righting reflex of rabbits： Righting reflex disappeared within 1 minute after the rabbits being intravenously injected with propofol. The higher dose, the shorter latent period （r = - 0.94, P 〈 0.01）, and the longer persistent period （r =0.79, P 〈 0.01）. Both latent period and persistent period had good correlation with propofol dose. （2） Effect of propofol on the percentage of β2-band power of quantitative pharmaco-electroencephalography： In the low-dose propofol group, no significant changes in the percentage of β2-band power of quantitative pharmaco-electroencephalography existed between before and after administration within 30 minutes （P 〉 0.05）. In the moderate-dose propofol group, the percentage of β2-band power of quantitative pharmaco-electroencephalography in each brain region except for left and right frontal areas was significantly decreased within 30 s to 5 minutes （P 〈 0.05）, and recovered to the level before administration 10 minutes later. In the high-dose propofol group, the percentage of β2-band power of quantitative pharmaco-electroencephalography in each brain region was significantly decreased from 20 s to 5 minutes after administration （P 〈 0.05 - 0.01）, and that was gradually recovered to the level before administration 5 to 10 minutes after administration. This tendency was basically the same as the changes of latent period and persistent period. CONCLUSION： Propofol decreases the percentage of β2-band power of quantitative pharmacoelectroencephalography in dose-dependent manner, It indicates that β2-band power might become one of indexes for reflecting the anesthetic degree of propofol,展开更多
Purpose: Implant therapy restores masticatory function by restoring lost tooth morphology. It has been shown that mastication contributes not only to food intake and digestion, but also to the improvement of overall h...Purpose: Implant therapy restores masticatory function by restoring lost tooth morphology. It has been shown that mastication contributes not only to food intake and digestion, but also to the improvement of overall health. However, there have been no studies on the effects of implant treatment on electroencephalography (EEG). In this study, we investigated the effects of restoration of masticatory function by implant treatment on EEG and stress. Methods: 13 subjects (6 males, 7 females, age 64.1 ± 5.8 years) who had lost masticatory function due to tooth loss and 11 healthy subjects (6 males, 5 females, age 47.6 ± 2.4 years) as a control group. EEG (θ, α, β waves, α/β ratio) and salivary cortisol were measured before immediate dental implant treatment and every month of treatment for 6 months. EEG (θ, α, β waves, α/β ratio) was measured with a simple electroencephalograph miniature DAQ terminal (Intercross-410, Intercross Co., Ltd., Japan) in a resting closed-eye condition, and salivary cortisol was measured using an ELISA kit. Results: Compared to the control group, the appearance of θ and α waves were significantly decreased and β waves were increased, and α/β ratio was significantly decreased. The cortisol level of the subject group was significantly higher compared with the control group. With the course of implant treatment, the appearance of θ and α waves of the subject group increased, while β waves decreased. However, no significant difference was observed. The α/β ratio of the subject group increased from the first month after implant treatment and increased significantly after 5 and 6 months (0 vs. 5 months: p < 0.05, 0 vs. 6 months: p < 0.01). The cortisol levels in the subject group decreased from the first month after implant treatment and significantly decreased after 3 or 4 months (0 vs. 3 months: p < 0.05, 0 vs. 4 months: p < 0.01). These results suggest that tooth loss causes mental stress, which decreases brain stimulation and affects function. Restoration of masticatory function by implants was suggested to alleviate the effects on brain function and stress.展开更多
<span style="font-family:Verdana;">There are few EEG studies on finger movement directions because ocular artifacts also convey directional information, which makes it hard to separate the contribution...<span style="font-family:Verdana;">There are few EEG studies on finger movement directions because ocular artifacts also convey directional information, which makes it hard to separate the contribution of EEG from that of the ocular artifacts. To overcome this issue, we designed an experiment in which EEG’s temporal dynamics and spatial information are evaluated together to improve the performance of brain-computer interface (BCI) for classifying finger movement directions. Six volunteers participated in the study. We examined their EEG using decoding analyses. Independent components (ICs) that represented brain-source signals successfully classified the directions of the finger movements with higher rates than chance level. The weight analyses of the classifiers revealed that maximal performance of the classification was recorded at the latencies prior to the onset of finger movements. The weight analyses also revealed the relevant cortical areas including the right lingual, left posterior cingulate, left inferior temporal gyrus, and right precuneus, which indicated the involvement of the visuospatial processing. We concluded that combining spatial distribution and temporal dynamics of the scalp EEG may improve BCI performance.</span>展开更多
Background: Electroencephalography (EEG) is established for evaluating several acute and chronic medical conditions of neurological basis. In much of Nigeria and Africa, it is largely unavailable and underutilized due...Background: Electroencephalography (EEG) is established for evaluating several acute and chronic medical conditions of neurological basis. In much of Nigeria and Africa, it is largely unavailable and underutilized due to scarcity of neurologists and high costs of the equipment. It offers a relatively simple and efficient way to help manage many encephalopathies if well utilized in trained hands. Aim: This study aimed to determine how physicians practicing in Enugu perceive and utilize electroencephalography routinely. Method: Physicians attending a statewide meeting in Enugu in August 2018 were consecutively recruited and a pretested questionnaire was administered after obtaining prior consent. Sociodemographic data as well as their knowledge, attitude and practice of electroencephalography were documented and analyzed. Results: There were 486 respondents (males 335: females 151) and 345 (71%) were specialists in various disciplines while 141 (29%) were general practitioners. Only 7 doctors (1.4%) claimed ignorance of electroencephalography and 6 (1.2%) stated it was not useful. Majority, 333 doctors (69.1%) believed it had no impact on routine patient management. This perception was highest for Dental Surgery (100%) and lowest for Internal Medicine (23%) specialists. Most doctors (425, 87.4%) agreed that neurologists should analyze recordings. Most physicians had no access to electroencephalography (61.7%) and had no interest in acquiring the machine (50.8%). Conclusion: Electroencephalography is an underappreciated investigative modality amongst physicians in Enugu, despite a high burden of neurological diseases in the population. More education, training and awareness of its utility are needed for medical students and doctors to reverse the trend.展开更多
Objective To explore quantitative electroencephalography in unconscious patients after severe traumatic brain injury (TBI) to predict awakening. Methods All cases were divided into two groups(the awake group 19 cases ...Objective To explore quantitative electroencephalography in unconscious patients after severe traumatic brain injury (TBI) to predict awakening. Methods All cases were divided into two groups(the awake group 19 cases and the unfavourable prognosis group 22 cases).Two weeks after admission the original EEGs were preformed in 41 patients suffering from severe TBI with duration of disturbance of展开更多
Electrodes are crucial for long-term electroencephalography(EEG)monitoring.Dry electrodes eliminate issues of dehydration,skin irritation,and non-reusability that are associated with wet electrodes.However,overly soft...Electrodes are crucial for long-term electroencephalography(EEG)monitoring.Dry electrodes eliminate issues of dehydration,skin irritation,and non-reusability that are associated with wet electrodes.However,overly soft dry electrodes cannot penetrate dense hair,while overly hard electrodes compromise comfort and signal quality.Here,we report a body temperature-triggered,phase change dry electrode to address these problems.The electrode,made from a polymer composite with crystalline region and silver flakes,is rigid at room temperature,allowing it to pass through hair.Upon contact with the scalp,body temperature melts the crystalline region,significantly reducing the modulus,thereby enhancing comfort and reducing contact impedance.This phase transition also transforms the electrode into a pressure sensitive adhesive,ensuring the stable contact.Additionally,its shape memory effect enables the electrode to return to its original shape,making it reusable.The reported electrodes exhibit superior signal quality and stability in long-term EEG monitoring.展开更多
Electroencephalogram(EEG)is one of the most important bioelectrical signals related to brain activity and plays a crucial role in clinical medicine.Driven by continuously expanding applications,the development of EEG ...Electroencephalogram(EEG)is one of the most important bioelectrical signals related to brain activity and plays a crucial role in clinical medicine.Driven by continuously expanding applications,the development of EEG materials and technology has attracted considerable attention.However,systematic analysis of the sustainable development of EEG materials and technology is still lacking.This review discusses the sustainable development of EEG materials and technology.First,the developing course of EEG is introduced to reveal its significance,particularly in clinical medicine.Then,the sustainability of the EEG materials and technology is discussed from two main aspects:integrated systems and EEG electrodes.For integrated systems,sustainability has been focused on the developing trend toward mobile EEG systems and big-data monitoring/analyzing of EEG signals.Sustainability is related to miniaturized,wireless,portable,and wearable systems that are integrated with big-data modeling techniques.For EEG electrodes and materials,sustainability has been comprehensively analyzed from three perspectives:performance of different material/structural categories,sustainablematerials for EEGelectrodes,and sustainable manufacturing technologies.In addition,sustainable applications of EEG have been presented.Finally,the sustainable development of EEG materials and technology in recent decades is summarized,revealing future possible research directions as well as urgent challenges.展开更多
基金Supported by Ministry of Science and Technology of the People’s Republic of China-Major Projects,No.2022ZD0212400National Natural Science Foundation of China,No.82371453.
文摘Traditional diagnostic tools for depression,such as the Patient Health Questionnaire-9,are susceptible to subjective bias,increasing the risk of misdiagnosis and emphasizing the critical need for objective biomarkers.This minireview evaluates the emerging role of portable electroencephalography(EEG)as a cost-effective,accessible solution for early depression detection.By synthesizing findings from 45 studies(selected from 764 screened articles),we highlight EEG’s capacity to identify aberrant neural oscillations associated with core depressive symptoms,including anhedonia,excessive guilt,and persistent low mood.Advances in portable systems demonstrate promising classification accuracy when integrated with machine learning algorithms,with long short-term memory models achieving>90%accuracy in recent trials.However,persistent challenges,such as signal quality variability,motion artifacts,and limited clinical validation,hinder widespread adoption.Further innovation in sensor optimization,multimodal data integration,and real-world clinical trials is essential to translate portable EEG into a reliable diagnostic tool.This minireview underscores the transformative potential of neurotechnology in psychiatry while advocating for rigorous standard ization to bridge the gap between research and clinical practice.
基金supported in part by the National Natural Science Foundation of China(31871882)National Key Research and Development Program of China(2021YFC2800403,YF-SHJD2101-3)。
文摘The perception of salty taste is crucial for individuals to make healthy food choices.Yet,the brain electrophysiological signals underlying salty taste perception have been poorly described.In this study,electroencephalography(EEG)was used to record brain activity induced by Na Cl solution as a salty taste stimulus.A combination of a custom delivery device and stimulation paradigm was employed to preserve the salty taste signal clearly.A stimulus-response capture method was proposed that could adapt to individual differences in brain responses to salty taste and accurately segment salty taste response signals.Applying this method to the EEG processing workflow can form a complete data processing framework.The results showed that the neural response induced by salty taste reached a high activity level in the initial stage within a short period(0.2 s),and there was a sustained periodic response within 0.75 s after the stimulation.Moreover,the salty taste information in the EEG signal was decoded,and discrimination of 2 similar concentrations of salty taste solutions was achieved far above the chance level(average identification rate:89.66%).This study demonstrated experimental paradigms and research methods for understanding salty taste perception,which could provide references for research on other basic tastes.
基金Supported by Suzhou Key Technologies Program,No.SKY2021063Suzhou Clinical Medical Center for Mood Disorders,No.Szlcyxzx202109+4 种基金Suzhou Clinical Key Disciplines for Geriatric Psychiatry,No.SZXK202116Jiangsu Province Social Development Project,No.BE2020764the Gusu Health Talents Project,No.GSWS2022091the Science and Technology Program of Suzhou,No.SKYD2022039 and No.SKY2023075the Doctoral Scientific Research Foundation of Suzhou Guangji Hospital,No.2023B01.
文摘BACKGROUND A growing number of recent studies have explored underlying activity in the brain by measuring electroencephalography(EEG)in people with depression.However,the consistency of findings on EEG microstates in patients with depression is poor,and few studies have reported the relationship between EEG microstates,cognitive scales,and depression severity scales.AIM To investigate the EEG microstate characteristics of patients with depression and their association with cognitive functions.METHODS A total of 24 patients diagnosed with depression and 32 healthy controls were included in this study using the Structured Clinical Interview for Disease for The Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition.We collected information relating to demographic and clinical characteristics,as well as data from the Repeatable Battery for the Assessment of Neuropsychological Status(RBANS;Chinese version)and EEG.RESULTS Compared with the controls,the duration,occurrence,and contribution of microstate C were significantly higher[depression(DEP):Duration 84.58±24.35,occurrence 3.72±0.56,contribution 30.39±8.59;CON:Duration 72.77±10.23,occurrence 3.41±0.36,contribution 24.46±4.66;Duration F=6.02,P=0.049;Occurrence F=6.19,P=0.049;Contribution F=10.82,P=0.011]while the duration,occurrence,and contribution of microstate D were significantly lower(DEP:Duration 70.00±15.92,occurrence 3.18±0.71,contribution 22.48±8.12;CON:Duration 85.46±10.23,occurrence 3.54±0.41,contribution 28.25±5.85;Duration F=19.18,P<0.001;Occurrence F=5.79,P=0.050;Contribution F=9.41,P=0.013)in patients with depression.A positive correlation was observed between the visuospatial/constructional scores of the RBANS scale and the transition probability of microstate class C to B(r=0.405,P=0.049).CONCLUSION EEG microstate,especially C and D,is a possible biomarker in depression.Patients with depression had a more frequent transition from microstate C to B,which may relate to more negative rumination and visual processing.
文摘Attention constitutes a fundamental psychological feature guiding our mental effort toward specific objects, concurrent with processes such as memory, reasoning, and imagination. Visual attention, crucial for selecting surrounding information, often decreases in older adults and patients with cerebrovascular disorders. Effective methods to enhance attention are scarce. Here, we investigated whether color information influences visual attention and brain activity during task performance, utilizing EEG. We examined 13 healthy young adults (seven women and six men;mean age: 21.2 ± 0.58 years) using 19-electrode electroencephalograms to assess the impact of color information on visual attention. The Clinical Assessment for Attention cancellation test was conducted under the black, red, and blue color conditions. Wilcoxon’s signed-rank test was used to assess differences in task performance (task time and error) between conditions. Spearman’s rank correlation was utilized to examine the correlation in power levels between task performance and color conditions. Significant variations in total task errors were observed among color conditions. The black condition exhibited the highest error frequency (0.7 ± 0.9 times), followed by the red condition (0.5 ± 0.8 times), with the lowest error frequency occurring in the blue (0.2 ± 0.4 times) condition (black vs. red: P = 0.03;black vs. blue: P = 0.00;red vs. blue: P = 0.032). No time difference was observed. The black condition showed negative delta and high-gamma correlations in the central electrodes. The red condition revealed positive alpha and low-gamma correlations in the frontal and occipital areas. Although no correlations were observed in the blue condition, it enhanced attentional performance. Positive alpha and low-gamma waves might be crucial for spotting attentional errors in key areas. Our findings provide insights into the effects of color information on visual attention and potential neural correlates associated with attentional processes. In conclusion, our study implies a connection between color information and attentional task performance, with blue font associated with the most accurate performance.
基金supported by the National Natural Science Foundation of China(81671198)Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant(20152212)the Shanghai Shenkang Clinical Research Plan of the Shenkang Hospital Development Center(16CR3011A)
文摘Prognostication of coma patients after brain injury is important, yet challenging. In this study, we evaluated the predictive value of amplitude-integrated electroencephalography （aEEG） for neurological outcomes in coma patients. From January 2013 to January 2016, 128 coma patients after acute brain injury were prospectively enrolled and monitored with aEEG. The 6-month neurological outcome was evaluated using the Cerebral Performance Category Scale. aEEG monitoring commenced at a median of 7.5 days after coma onset. Continuous normal voltage predicted a good 6-month neurological outcome with a sensitivity of 93.6% and specificity of 85.2%. In contrast, continuous extremely low voltage, burst-suppression, or a flat tracing was correlated with poor 6-month neurological outcome with a sensitivity of 76.5% and specificity of 100%. In conclusion, aEEG is a promising predictor of 6-month neurological outcome for coma patients after acute brain injury.
基金supported by grants from the General Project Plan of Zhejiang Medical Technology of China,No.2014RCA007the Medical Science and Technology Project Co-founded by Zhejiang Province and the Ministry of Health of China,No.2016152769
文摘Auditory stimuli are proposed as beneficial neurorehabilitation methods in patients with disorders of consciousness. However, precise and accurate quantitative indices to estimate their potential effect remain scarce. Fourteen patients were recruited from the Neuro-Rehabilitation Unit of Hangzhou Hospital of Zhejiang Armed Police Corps of China. Altogether, there were seven cases of unresponsive wakefulness syndrome（five males and two females, aged 45.7 ± 16.8 years） and seven cases of minimally conscious state（six males and one female, aged 42.3 ± 20.8 years）. Simultaneously, fourteen healthy controls（10 males and 4 females, aged 51.7 ± 9.7 years） also participated in this case-control experiment. Brain response to music, subjects＇ own name, and noise was monitored by quantitative electroencephalography（QEEG） in the resting state and with acoustic stimulation. Predictive QEEG values in various brain regions were investigated. Our results show that cerebral activation was high in subjects stimulated by their own name, especially in the temporal lobe in patients with disorders of consciousness, and the frontal lobe in the control group. Further, during resting and stimulation, QEEG index（δ ＋ θ/α ＋ β ratio） negatively correlated with the Coma Recovery Scale-Revised score in traumatic disorders of consciousness patients. Hence, we speculate that a subject＇s own name might be an effective awakening therapy for patients with disorders of consciousness. Moreover, QEEG index in specific stimulation states may be used as a prognostic indicator for disorders of consciousness patients（sensitivity, 75%; specificity, 50%）.
基金supported by the National Natural Science Foundation of China (81271435 and 91332202)
文摘Intracranial electroencephalography（i EEG）provides the best precision in estimating the location and boundary of an epileptogenic zone. Analysis of i EEG in the routine EEG frequency range（0.5-70 Hz） remains the basis in clinical practice. Low-voltage fast activity is the most commonly reported ictal onset pattern in neocortical epilepsy, and low-frequency high-amplitude repetitive spiking is the most commonly reported ictal onset pattern in mesial temporal lobe epilepsy. Recent studies using wideband EEG recording have demonstrated that examining higher（80-1000 Hz） and lower（0.016-0.5 Hz） EEG frequencies can provide additional diagnostic information and help to improve the surgical outcome. In addition,novel computational techniques of i EEG signal analysis have provided new insights into the epileptic network.Here, we review some of these recent advances. Although these sophisticated and advanced techniques of i EEG analysis show promise in localizing the epileptogenic zone,their utility needs to be further validated in larger studies.
文摘Objective: Optimization of combining electroencephalography (EEG), short latency somatosensory evoked potentials (SLSEP) and transcranial Doppler (TCD) techniques to diagnose brain death. Methods: One hundred and eleven patients (69 males, 42 females) from the major hospitals of Zhejiang Province were examined with portable EEG, SLSEP and TCD devices. Re-examinations occurred ≤12 h later. Results: The first examination revealed that the combination of SLSEP and EEG led to more sensitive diagnoses than the combination of SLSEP and TCD. Re-examination confirmed this and also revealed that the combination of TCD and EEG was the most sensitive. Conclusion: The results show that using multiple techniques to diagnose brain death is superior to using single method, and that the combination of SLSEP and EEG is better than other combinations.
文摘The purpose of this paper is to analyze sleep stages accurately using fast and simple classifiers based on the frequency domain of electroencephalography(EEG) signal. To compare and evaluate system performance, the rules of Rechtschaffen and Kales(R&K rule) were used. Parameters were extracted from preprocessing process of EEG signal as feature vectors of each sleep stage analysis system through representatives of back propagation algorithm and support vector machine (SVM). As a result, SVM showed better performance as pattern recognition system for classification of sleep stages. It was found that easier analysis of sleep stage was possible using such simple system. Since accurate estimation of sleep state is possible through combination of algorithms, we could see the potential for the classifier to be used for sleep analysis system.
基金the National Natural Science Foundation of China(No.61874171)the Alibaba Innovative Research Program of Alibaba Group。
文摘Removing different types of artifacts from the electroencephalography(EEG)recordings is a critical step in performing EEG signal analysis and diagnosis.Most of the existing algorithms aim for removing single type of artifacts,leading to a complex system if an EEG recording contains different types of artifacts.With the advancement in wearable technologies,it is necessary to develop an energy-efficient algorithm to deal with different types of artifacts for single-channel wearable EEG devices.In this paper,an automatic EEG artifact removal algorithm is proposed that effectively reduces three types of artifacts,i.e.,ocular artifact(OA),transmission-line/harmonic-wave artifact(TA/HA),and muscle artifact(MA),from a single-channel EEG recording.The effectiveness of the proposed algorithm is verified on both simulated noisy EEG signals and real EEG from CHB-MIT dataset.The experimental results show that the proposed algorithm effectively suppresses OA,MA and TA/HA from a single-channel EEG recording as well as physical movement artifact.
基金founded by Committee of Science and Technology, Fengtai District of Beijing City in 2010,No.xm101223
文摘Repetitive transcranial magnetic stimulation is a noninvasive treatment technique that can directly alter cortical excitability and improve cerebral functional activity in unconscious patients. To investigate the effects and the electrophysiological changes of repetitive transcranial magnetic stimulation cortical treatment, 10 stroke patients with non-severe brainstem lesions and with disturbance of consciousness were treated with repetitive transcranial magnetic stimulation. A quantitative electroencephalography spectral power analysis was also performed. The absolute power in the alpha band was increased immediately after the first repetitive transcranial magnetic stimulation treatment, and the energy was reduced in the delta band. The alpha band relative power values slightly decreased at 1 day post-treatment, then increased and reached a stable level at 2 weeks post-treatment. Glasgow Coma Score and JFK Coma Recovery Scale-Revised score were improved. Relative power value in the alpha band was positively related to Glasgow Coma Score and JFK Coma Recovery Scale-Revised score. These data suggest that repetitive transcranial magnetic stimulation is a noninvasive, safe, and effective treatment technology for improving brain functional activity and promoting awakening in unconscious stroke patients.
基金supported by a grant from the National Institute of Information and Communications Technology(NICT),Japan
文摘Brain-computer interface is a communication system that connects the brain with computer （or other devices） but is not dependent on the normal output of the brain （i.e., peripheral nerve and muscle）. Electro-oculogram is a dominant artifact which has a significant negative influence on further analysis of real electroencephalography data. This paper presented a data adaptive technique for artifact suppression and brain wave extraction from electroencephalography signals to detect regional brain activities. Empirical mode decomposition based adaptive thresholding approach was employed here to suppress the electro-oculogram artifact. Fractional Gaussian noise was used to determine the threshold level derived from the analysis data without any training. The purified electroencephalography signal was composed of the brain waves also called rhythmic components which represent the brain activities. The rhythmic components were extracted from each electroencephalography channel using adaptive wiener filter with the original scale. The regional brain activities were mapped on the basis of the spatial distribution of rhythmic components, and the results showed that different regions of the brain are activated in response to different stimuli. This research analyzed the activities of a single rhythmic component, alpha with respect to different motor imaginations. The experimental results showed that the proposed method is very efficient in artifact suppression and identifying individual motor imagery based on the activities of alpha component.
文摘BACKGROUND： Twenty-four hour ambulatory electroencephatography （AEEG） provides advantages for continuous electroencephalogram, monitoring brief loss of consciousness complicated by suspect or mild limb spasm. OBJECTIVE： To explore the significance of AEEG for differentially diagnosing epilepsy and syncope, compared to EEG. DESIGN, TIME AND SETTING： Sixty patients with brief loss of consciousness, complicated by suspect or mild limb spasm, were selected from Suqian People＇s Hospital between January 2006 and June 2007. PARTICIPANTS： Sixty participants comprised 34 males and 26 females, aged 13-64 years. According to clinical symptoms prior to the study, 36 patients were initially diagnosed with epilepsy and 24 with syncope. METHODS AND MAIN OUTCOME MEASURES： Abnormalities and epileptiform discharge were detected using EEG and AEEG, and the diagnostic value of the two methods for epilepsy and syncope was compared. RESULTS： A total of sixty patients were included in the final analysis. Abnormal AEEGs were observed in 37 cases （62%） and epileptiform discharge AEEGs in 23 cases （38%）, both of which were significantly greater than EEGs [37% （22/60）, 18% （11/60）, respectively, P 〈 0.01, 0.05]. The detection rate of abnormal AEEG and epileptiform discharge in the epilepsy group [75% （27/36）, 47% （17/36）, respectively was significantly greater than in the syncope group [42% （10/24）, 25% （6/24）, respectively, P 〈 0.01, 0.05]. CONCLUSION： AEEG can improve detection probability of epileptiform discharge and exhibits significant differences in the differential diagnosis of epilepsy and syncope.
基金the National Natural Science Foundation of China, No. 30471657,39970715Social Development Plan Project of Science Committee of Jiangsu Province, No.BS2000052the Natural Science Foundation of Jiangsu Province, No.BK2001143
文摘BACKGROUND： Quantitative pharmaco-electroencephalography can be used for studying the dose-effect and time-effect relationships of drugs affecting central nervous system. Therefore, it may become an effective means for monitoring the anesthetic degree of anesthetic drug in the operation. OBJECTIVE： To observe the dose-effect relationship of propofol influencing β2-band power of quantitative pharmaco-electroencephalography in rabbits. DESIGN： A randomized block design. SETTING： Department of Anesthesiology, Xuzhou Medical College. MATERIALS： Thirty-six healthy adult rabbits of either gender, weighing （2.4 ± 0.5 ） kg, of clean grade, were provided by the Laboratory Animal Center of Xuzhou Medical College. The involved rabbits were randomly divided into 3 groups with 12 in each by table of random digit： high-dose propofol group, moderate-dose propofol group, and low-dose propofol group. The protocol was carried out in accordance with animal ethics guidelines for the use and care of animals. METHODS： This study was carried out in the Department of Anesthesiology, Xuzhou Medical College between August 1999 and April 2000. Rabbits in the high-dose propofol group, moderate-dose propofol group, and low-dose propofol group were injected with 10, 5 and 2.5 mg/kg propofol （ZENECA Company, British, Batch No. 032000）, respectively. Before and after intravenous administration of propofol, percentage of β2-band power of quantitative pharmaco-electroencephalography was measured, and the latent and persistent periods when rabbit righting reflex disappeared were observed by quantitative pharmaco-electroencephalography and power spectrum analysis. MAIN OUTCOME MEASURES： （1） Percentage of β2-band power of quantitative pharmaco-electroencephalography. （2）Latent period and persistent period of abolition of righting reflex of rabbits. RESULTS： Thirty-six rabbits were involved in the final analysis. （1）Effect of propofol on righting reflex of rabbits： Righting reflex disappeared within 1 minute after the rabbits being intravenously injected with propofol. The higher dose, the shorter latent period （r = - 0.94, P 〈 0.01）, and the longer persistent period （r =0.79, P 〈 0.01）. Both latent period and persistent period had good correlation with propofol dose. （2） Effect of propofol on the percentage of β2-band power of quantitative pharmaco-electroencephalography： In the low-dose propofol group, no significant changes in the percentage of β2-band power of quantitative pharmaco-electroencephalography existed between before and after administration within 30 minutes （P 〉 0.05）. In the moderate-dose propofol group, the percentage of β2-band power of quantitative pharmaco-electroencephalography in each brain region except for left and right frontal areas was significantly decreased within 30 s to 5 minutes （P 〈 0.05）, and recovered to the level before administration 10 minutes later. In the high-dose propofol group, the percentage of β2-band power of quantitative pharmaco-electroencephalography in each brain region was significantly decreased from 20 s to 5 minutes after administration （P 〈 0.05 - 0.01）, and that was gradually recovered to the level before administration 5 to 10 minutes after administration. This tendency was basically the same as the changes of latent period and persistent period. CONCLUSION： Propofol decreases the percentage of β2-band power of quantitative pharmacoelectroencephalography in dose-dependent manner, It indicates that β2-band power might become one of indexes for reflecting the anesthetic degree of propofol,
文摘Purpose: Implant therapy restores masticatory function by restoring lost tooth morphology. It has been shown that mastication contributes not only to food intake and digestion, but also to the improvement of overall health. However, there have been no studies on the effects of implant treatment on electroencephalography (EEG). In this study, we investigated the effects of restoration of masticatory function by implant treatment on EEG and stress. Methods: 13 subjects (6 males, 7 females, age 64.1 ± 5.8 years) who had lost masticatory function due to tooth loss and 11 healthy subjects (6 males, 5 females, age 47.6 ± 2.4 years) as a control group. EEG (θ, α, β waves, α/β ratio) and salivary cortisol were measured before immediate dental implant treatment and every month of treatment for 6 months. EEG (θ, α, β waves, α/β ratio) was measured with a simple electroencephalograph miniature DAQ terminal (Intercross-410, Intercross Co., Ltd., Japan) in a resting closed-eye condition, and salivary cortisol was measured using an ELISA kit. Results: Compared to the control group, the appearance of θ and α waves were significantly decreased and β waves were increased, and α/β ratio was significantly decreased. The cortisol level of the subject group was significantly higher compared with the control group. With the course of implant treatment, the appearance of θ and α waves of the subject group increased, while β waves decreased. However, no significant difference was observed. The α/β ratio of the subject group increased from the first month after implant treatment and increased significantly after 5 and 6 months (0 vs. 5 months: p < 0.05, 0 vs. 6 months: p < 0.01). The cortisol levels in the subject group decreased from the first month after implant treatment and significantly decreased after 3 or 4 months (0 vs. 3 months: p < 0.05, 0 vs. 4 months: p < 0.01). These results suggest that tooth loss causes mental stress, which decreases brain stimulation and affects function. Restoration of masticatory function by implants was suggested to alleviate the effects on brain function and stress.
文摘<span style="font-family:Verdana;">There are few EEG studies on finger movement directions because ocular artifacts also convey directional information, which makes it hard to separate the contribution of EEG from that of the ocular artifacts. To overcome this issue, we designed an experiment in which EEG’s temporal dynamics and spatial information are evaluated together to improve the performance of brain-computer interface (BCI) for classifying finger movement directions. Six volunteers participated in the study. We examined their EEG using decoding analyses. Independent components (ICs) that represented brain-source signals successfully classified the directions of the finger movements with higher rates than chance level. The weight analyses of the classifiers revealed that maximal performance of the classification was recorded at the latencies prior to the onset of finger movements. The weight analyses also revealed the relevant cortical areas including the right lingual, left posterior cingulate, left inferior temporal gyrus, and right precuneus, which indicated the involvement of the visuospatial processing. We concluded that combining spatial distribution and temporal dynamics of the scalp EEG may improve BCI performance.</span>
文摘Background: Electroencephalography (EEG) is established for evaluating several acute and chronic medical conditions of neurological basis. In much of Nigeria and Africa, it is largely unavailable and underutilized due to scarcity of neurologists and high costs of the equipment. It offers a relatively simple and efficient way to help manage many encephalopathies if well utilized in trained hands. Aim: This study aimed to determine how physicians practicing in Enugu perceive and utilize electroencephalography routinely. Method: Physicians attending a statewide meeting in Enugu in August 2018 were consecutively recruited and a pretested questionnaire was administered after obtaining prior consent. Sociodemographic data as well as their knowledge, attitude and practice of electroencephalography were documented and analyzed. Results: There were 486 respondents (males 335: females 151) and 345 (71%) were specialists in various disciplines while 141 (29%) were general practitioners. Only 7 doctors (1.4%) claimed ignorance of electroencephalography and 6 (1.2%) stated it was not useful. Majority, 333 doctors (69.1%) believed it had no impact on routine patient management. This perception was highest for Dental Surgery (100%) and lowest for Internal Medicine (23%) specialists. Most doctors (425, 87.4%) agreed that neurologists should analyze recordings. Most physicians had no access to electroencephalography (61.7%) and had no interest in acquiring the machine (50.8%). Conclusion: Electroencephalography is an underappreciated investigative modality amongst physicians in Enugu, despite a high burden of neurological diseases in the population. More education, training and awareness of its utility are needed for medical students and doctors to reverse the trend.
文摘Objective To explore quantitative electroencephalography in unconscious patients after severe traumatic brain injury (TBI) to predict awakening. Methods All cases were divided into two groups(the awake group 19 cases and the unfavourable prognosis group 22 cases).Two weeks after admission the original EEGs were preformed in 41 patients suffering from severe TBI with duration of disturbance of
基金supported by the National Natural Science Foundation of China(U22A20249,52173071).
文摘Electrodes are crucial for long-term electroencephalography(EEG)monitoring.Dry electrodes eliminate issues of dehydration,skin irritation,and non-reusability that are associated with wet electrodes.However,overly soft dry electrodes cannot penetrate dense hair,while overly hard electrodes compromise comfort and signal quality.Here,we report a body temperature-triggered,phase change dry electrode to address these problems.The electrode,made from a polymer composite with crystalline region and silver flakes,is rigid at room temperature,allowing it to pass through hair.Upon contact with the scalp,body temperature melts the crystalline region,significantly reducing the modulus,thereby enhancing comfort and reducing contact impedance.This phase transition also transforms the electrode into a pressure sensitive adhesive,ensuring the stable contact.Additionally,its shape memory effect enables the electrode to return to its original shape,making it reusable.The reported electrodes exhibit superior signal quality and stability in long-term EEG monitoring.
基金National Natural Science Foundation of China,Grant/Award Number:62271458Sichuan Province Central Government Guides Local Science and Technology Development Project,Grant/Award Number:2023ZYD0015。
文摘Electroencephalogram(EEG)is one of the most important bioelectrical signals related to brain activity and plays a crucial role in clinical medicine.Driven by continuously expanding applications,the development of EEG materials and technology has attracted considerable attention.However,systematic analysis of the sustainable development of EEG materials and technology is still lacking.This review discusses the sustainable development of EEG materials and technology.First,the developing course of EEG is introduced to reveal its significance,particularly in clinical medicine.Then,the sustainability of the EEG materials and technology is discussed from two main aspects:integrated systems and EEG electrodes.For integrated systems,sustainability has been focused on the developing trend toward mobile EEG systems and big-data monitoring/analyzing of EEG signals.Sustainability is related to miniaturized,wireless,portable,and wearable systems that are integrated with big-data modeling techniques.For EEG electrodes and materials,sustainability has been comprehensively analyzed from three perspectives:performance of different material/structural categories,sustainablematerials for EEGelectrodes,and sustainable manufacturing technologies.In addition,sustainable applications of EEG have been presented.Finally,the sustainable development of EEG materials and technology in recent decades is summarized,revealing future possible research directions as well as urgent challenges.
