The topological connectivity information derived from the brain functional network can bring new insights for diagnosing and analyzing dementia disorders.The brain functional network is suitable to bridge the correlat...The topological connectivity information derived from the brain functional network can bring new insights for diagnosing and analyzing dementia disorders.The brain functional network is suitable to bridge the correlation between abnormal connectivities and dementia disorders.However,it is challenging to access considerable amounts of brain functional network data,which hinders the widespread application of data-driven models in dementia diagnosis.In this study,a novel distribution-regularized adversarial graph auto-Encoder(DAGAE)with transformer is proposed to generate new fake brain functional networks to augment the brain functional network dataset,improving the dementia diagnosis accuracy of data-driven models.Specifically,the label distribution is estimated to regularize the latent space learned by the graph encoder,which canmake the learning process stable and the learned representation robust.Also,the transformer generator is devised to map the node representations into node-to-node connections by exploring the long-term dependence of highly-correlated distant brain regions.The typical topological properties and discriminative features can be preserved entirely.Furthermore,the generated brain functional networks improve the prediction performance using different classifiers,which can be applied to analyze other cognitive diseases.Attempts on the Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset demonstrate that the proposed model can generate good brain functional networks.The classification results show adding generated data can achieve the best accuracy value of 85.33%,sensitivity value of 84.00%,specificity value of 86.67%.The proposed model also achieves superior performance compared with other related augmentedmodels.Overall,the proposedmodel effectively improves cognitive disease diagnosis by generating diverse brain functional networks.展开更多
Objective: in this paper, the functional connectivity of the resting state brain in first-episode schizophrenia patients with auditory hallucinations was studied. Methods: according to the DDSM -IV schizophrenia diagn...Objective: in this paper, the functional connectivity of the resting state brain in first-episode schizophrenia patients with auditory hallucinations was studied. Methods: according to the DDSM -IV schizophrenia diagnostic criteria, 94 patients with first schizophrenic auditory hallucinations and 94 healthy patients were selected as control. All subjects underwent clinical evaluation and resting-state functional magnetic resonance (FMRI) scans, and the differences between the two groups were analyzed and compared. Results: compared to control group, patients with first-episode schizophrenia auditory hallucination itself left superior temporal gyrus, the ipsilateral medial prefrontal function and connection of side guide vane fall further, at the same time, to the left side of the patients with first-episode schizophrenia hallucinations Heschl back with ipsilateral medial prefrontal function and connection of the contralateral temporal gyrus, showed a trend of decline, in addition, for the right of HG, it was also functionally connected to the left middle temporal gyrus and showed a declining trend. Conclusion: in the early stages of schizophrenia, there are serious abnormal connectivity between different brain regions, especially between the two sides of the brain, and there is also an abnormal pattern of "disconnection", which indicates that there are serious abnormalities in the integration function of the brain in the first episode of schizophrenia.展开更多
Aphasia is an acquired language disorder that is a common consequence of stroke.The pathogenesis of the disease is not fully understood,and as a result,current treatment options are not satisfactory.Here,we used blood...Aphasia is an acquired language disorder that is a common consequence of stroke.The pathogenesis of the disease is not fully understood,and as a result,current treatment options are not satisfactory.Here,we used blood oxygenation level-dependent functional magnetic resonance imaging to evaluate the activation of bilateral cortices in patients with Broca＇s aphasia 1 to 3 months after stroke.Our results showed that language expression was associated with multiple brain regions in which the right hemisphere participated in the generation of language.The activation areas in the left hemisphere of aphasia patients were significantly smaller compared with those in healthy adults.The activation frequency,volumes,and intensity in the regions related to language,such as the left inferior frontal gyrus（Broca＇s area）,the left superior temporal gyrus,and the right inferior frontal gyrus（the mirror region of Broca＇s area）,were lower in patients compared with healthy adults.In contrast,activation in the right superior temporal gyrus,the bilateral superior parietal lobule,and the left inferior temporal gyrus was stronger in patients compared with healthy controls.These results suggest that the right inferior frontal gyrus plays a role in the recovery of language function in the subacute stage of stroke-related aphasia by increasing the engagement of related brain areas.展开更多
Attention deficit and hyperactivity disorder（ADHD） is a disorder characterized by behavioral symptoms including hyperactivity/impulsivity among children,adolescents,and adults.These ADHD related symptoms are influen...Attention deficit and hyperactivity disorder（ADHD） is a disorder characterized by behavioral symptoms including hyperactivity/impulsivity among children,adolescents,and adults.These ADHD related symptoms are influenced by the complex interaction of brain networks which were under explored.We explored age-related brain network differences between ADHD patients and typically developing（TD） subjects using resting state f MRI（rs-f MRI） for three age groups of children,adolescents,and adults.We collected rs-f MRI data from 184 individuals（27 ADHD children and 31 TD children;32 ADHD adolescents and 32 TD adolescents;and 31 ADHD adults and 31 TD adults）.The Brainnetome Atlas was used to define nodes in the network analysis.We compared three age groups of ADHD and TD subjects to identify the distinct regions that could explain age-related brain network differences based on degree centrality,a well-known measure of nodal centrality.The left middle temporal gyrus showed significant interaction effects between disease status（i.e.,ADHD or TD） and age（i.e.,child,adolescent,or adult）（P 0.001）.Additional regions were identified at a relaxed threshold（P 0.05）.Many of the identified regions（the left inferior frontal gyrus,the left middle temporal gyrus,and the left insular gyrus） were related to cognitive function.The results of our study suggest that aberrant development in cognitive brain regions might be associated with age-related brain network changes in ADHD patients.These findings contribute to better understand how brain function influences the symptoms of ADHD.展开更多
Objective Using resting-state functional magnetic resonance imaging (rs-fMRI),we explored the changes in dynamic functional network connections (dFNC) in the brains of patients with first-episode schizophrenia (SZ)and...Objective Using resting-state functional magnetic resonance imaging (rs-fMRI),we explored the changes in dynamic functional network connections (dFNC) in the brains of patients with first-episode schizophrenia (SZ)and evaluated the potential clinical value of dFNC changes in combination with a machine learning model.展开更多
Chinese calligraphy,as a well-known performing art form,occupies an important role in the intangible cultural heritage of China.Previous studies focused on the psychophysiological benefits of Chinese calligraphy.Littl...Chinese calligraphy,as a well-known performing art form,occupies an important role in the intangible cultural heritage of China.Previous studies focused on the psychophysiological benefits of Chinese calligraphy.Little attention has been paid to its aesthetic attributes and effectiveness on the cognitive process.To complement our understanding of Chinese calligraphy,this study investigated the aesthetic experience of Chinese cursive-style calligraphy using brain functional network analysis.Subjects stayed on the coach and rested for several minutes.Then,they were requested to appreciate artwork of cursive-style calligraphy.Results showed that(1)changes in functional connectivity between frontooccipital,fronto-parietal,bilateral parietal,and central–occipital areas are prominent for calligraphy condition,(2)brain functional network showed an increased normalized cluster coefficient for calligraphy condition in alpha2 and gamma bands.These results demonstrate that the brain functional network undergoes a dynamic reconfiguration during the aesthetic experience of Chinese calligraphy.Providing evidence that the aesthetic experience of Chinese calligraphy has several similarities with western art while retaining its unique characters as an eastern traditional art form.展开更多
Aesthetic evaluations,including beauty and attractiveness,have an important role in our lives.Despite its importance in our every-day life,enough attention has not been devoted to the assessment of place attractivenes...Aesthetic evaluations,including beauty and attractiveness,have an important role in our lives.Despite its importance in our every-day life,enough attention has not been devoted to the assessment of place attractiveness in previous studies.We assume that changes in elements of square attractiveness are associated with changes in brain functional connectivity patterns.In this study,we have tried to explore the relationship between elements of square attractiveness and individuals’emotional perception as well as the brain mechanism involved in the process of cognitive development.There has been a focus on using objective measures of physiological rather than using self-reported data of an individual’s emotions because people cannot understand their emotions properly and it is needed to compare self-report emotions with physiological processes.Classification of the five main elements of attractiveness was performed using the Delphi technique.Subsequently,twenty-four healthy young adults were exposed to the visual stimuli consists of five elements.A 32-channel EEG system was used to record the brain activities of participants while watching the stimuli.The subjects’feelings about valence and arousal levels of the elements were evaluated using the Self-Assessment Manikin(SAM)technique.The findings showed that“visual openness”is the most important element to increase the square attractiveness of everyday landscape in residential areas.The analysis revealed a significant difference(p=0.048)in arousal ratings between more attractive(more openness)(M=4.77)and less attractive(less openness)(M=4.52).Attractiveness elements of the stimuli have a region-specific association with brain functional connectivity networks.This pattern is mainly found in the functional connections between central parts of the brain.展开更多
Invasive techniques are becoming increasingly important in the presurgical evaluation of epilepsy.Adopting the electrophysiological source imaging(ESI)of interictal scalp electroencephalography(EEG)to localize the epi...Invasive techniques are becoming increasingly important in the presurgical evaluation of epilepsy.Adopting the electrophysiological source imaging(ESI)of interictal scalp electroencephalography(EEG)to localize the epileptogenic zone remains a challenge.The accuracy of the preoperative localization of the epileptogenic zone is key to curing epilepsy.The T1 MRI and the boundary element method were used to build the realistic head model.To solve the inverse problem,the distributed inverse solution and equivalent current dipole(ECD)methods were employed to locate the epileptogenic zone.Furthermore,a combination of inverse solution algorithms and Granger causality connectivity measures was evaluated.The ECD method exhibited excellent focalization in lateralization and localization,achieving a coincidence rate of 99.02%(p<0.05)with the stereo electroencephalogram.The combination of ECD and the directed transfer function led to excellent matching between the information flow obtained from intracranial and scalp EEG recordings.The ECD inverse solution method showed the highest performance and could extract the discharge information at the cortex level from noninvasive low-density EEG data.Thus,the accurate preoperative localization of the epileptogenic zone could reduce the number of intracranial electrode implantations required.展开更多
Psychiatric disorders exhibit extremely high heterogeneity,thus making accurate diagnosis and timely treatment challenging.Numerous neuroimaging studies have revealed abnormal changes in brain functional connectivity ...Psychiatric disorders exhibit extremely high heterogeneity,thus making accurate diagnosis and timely treatment challenging.Numerous neuroimaging studies have revealed abnormal changes in brain functional connectivity among patients with psychiatric disorders.To better understand the complexity of these disorders,researchers have explored hypergraph-based methods.Using functional magnetic resonance imaging data and hypergraph theory,studies have modeled and analyzed brain functional connectivity hypernetworks to classify psychiatric disorders and identify associated biomarkers.Furthermore,modeling a subjects-level hypergraph aids in estimating potential higher-order relationships among individuals;thus,hypergraphs can be used for classifying psychiatric disorders and identifying biomarkers.Recent neuroimaging studies have revealed specific subtypes of psychiatric disorders with biological importance.Hypergraph-based clustering methods have been used to investigate subtypes of psychiatric disorders.However,limited work has surveyed the applications of hypergraph-based methods in classifying and subtyping psychiatric disorders.To address this gap,this article provides a thorough survey,and discusses current challenges and potential future research directions in this field.展开更多
基金This paper is partially supported by the British Heart Foundation Accelerator Award,UK(AA\18\3\34220)Royal Society International Exchanges Cost Share Award,UK(RP202G0230)+9 种基金Hope Foundation for Cancer Research,UK(RM60G0680)Medical Research Council Confidence in Concept Award,UK(MC_PC_17171)Sino-UK Industrial Fund,UK(RP202G0289)Global Challenges Research Fund(GCRF),UK(P202PF11)LIAS Pioneering Partnerships Award,UK(P202ED10)Data Science Enhancement Fund,UK(P202RE237)Fight for Sight,UK(24NN201)Sino-UK Education Fund,UK(OP202006)Biotechnology and Biological Sciences Research Council,UK(RM32G0178B8)LIAS Seed Corn,UK(P202RE969).
文摘The topological connectivity information derived from the brain functional network can bring new insights for diagnosing and analyzing dementia disorders.The brain functional network is suitable to bridge the correlation between abnormal connectivities and dementia disorders.However,it is challenging to access considerable amounts of brain functional network data,which hinders the widespread application of data-driven models in dementia diagnosis.In this study,a novel distribution-regularized adversarial graph auto-Encoder(DAGAE)with transformer is proposed to generate new fake brain functional networks to augment the brain functional network dataset,improving the dementia diagnosis accuracy of data-driven models.Specifically,the label distribution is estimated to regularize the latent space learned by the graph encoder,which canmake the learning process stable and the learned representation robust.Also,the transformer generator is devised to map the node representations into node-to-node connections by exploring the long-term dependence of highly-correlated distant brain regions.The typical topological properties and discriminative features can be preserved entirely.Furthermore,the generated brain functional networks improve the prediction performance using different classifiers,which can be applied to analyze other cognitive diseases.Attempts on the Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset demonstrate that the proposed model can generate good brain functional networks.The classification results show adding generated data can achieve the best accuracy value of 85.33%,sensitivity value of 84.00%,specificity value of 86.67%.The proposed model also achieves superior performance compared with other related augmentedmodels.Overall,the proposedmodel effectively improves cognitive disease diagnosis by generating diverse brain functional networks.
文摘Objective: in this paper, the functional connectivity of the resting state brain in first-episode schizophrenia patients with auditory hallucinations was studied. Methods: according to the DDSM -IV schizophrenia diagnostic criteria, 94 patients with first schizophrenic auditory hallucinations and 94 healthy patients were selected as control. All subjects underwent clinical evaluation and resting-state functional magnetic resonance (FMRI) scans, and the differences between the two groups were analyzed and compared. Results: compared to control group, patients with first-episode schizophrenia auditory hallucination itself left superior temporal gyrus, the ipsilateral medial prefrontal function and connection of side guide vane fall further, at the same time, to the left side of the patients with first-episode schizophrenia hallucinations Heschl back with ipsilateral medial prefrontal function and connection of the contralateral temporal gyrus, showed a trend of decline, in addition, for the right of HG, it was also functionally connected to the left middle temporal gyrus and showed a declining trend. Conclusion: in the early stages of schizophrenia, there are serious abnormal connectivity between different brain regions, especially between the two sides of the brain, and there is also an abnormal pattern of "disconnection", which indicates that there are serious abnormalities in the integration function of the brain in the first episode of schizophrenia.
基金supported by the Natural Science Foundation of Guangdong Province of China,No.2016A030313327the Science and Technology Planning Project of Guangzhou City of China,No.201607010185+1 种基金the Science and Technology Planning Project of Guangdong Province of China,No.2016A020215226the National Natural Science Foundation of China,No.81401869
文摘Aphasia is an acquired language disorder that is a common consequence of stroke.The pathogenesis of the disease is not fully understood,and as a result,current treatment options are not satisfactory.Here,we used blood oxygenation level-dependent functional magnetic resonance imaging to evaluate the activation of bilateral cortices in patients with Broca＇s aphasia 1 to 3 months after stroke.Our results showed that language expression was associated with multiple brain regions in which the right hemisphere participated in the generation of language.The activation areas in the left hemisphere of aphasia patients were significantly smaller compared with those in healthy adults.The activation frequency,volumes,and intensity in the regions related to language,such as the left inferior frontal gyrus（Broca＇s area）,the left superior temporal gyrus,and the right inferior frontal gyrus（the mirror region of Broca＇s area）,were lower in patients compared with healthy adults.In contrast,activation in the right superior temporal gyrus,the bilateral superior parietal lobule,and the left inferior temporal gyrus was stronger in patients compared with healthy controls.These results suggest that the right inferior frontal gyrus plays a role in the recovery of language function in the subacute stage of stroke-related aphasia by increasing the engagement of related brain areas.
基金supported by the Institute for Basic Science[grant No.IBS-R015-D1]the National Research Foundation of Korea(grant No.NRF-2016R1A2B4008545)
文摘Attention deficit and hyperactivity disorder（ADHD） is a disorder characterized by behavioral symptoms including hyperactivity/impulsivity among children,adolescents,and adults.These ADHD related symptoms are influenced by the complex interaction of brain networks which were under explored.We explored age-related brain network differences between ADHD patients and typically developing（TD） subjects using resting state f MRI（rs-f MRI） for three age groups of children,adolescents,and adults.We collected rs-f MRI data from 184 individuals（27 ADHD children and 31 TD children;32 ADHD adolescents and 32 TD adolescents;and 31 ADHD adults and 31 TD adults）.The Brainnetome Atlas was used to define nodes in the network analysis.We compared three age groups of ADHD and TD subjects to identify the distinct regions that could explain age-related brain network differences based on degree centrality,a well-known measure of nodal centrality.The left middle temporal gyrus showed significant interaction effects between disease status（i.e.,ADHD or TD） and age（i.e.,child,adolescent,or adult）（P 0.001）.Additional regions were identified at a relaxed threshold（P 0.05）.Many of the identified regions（the left inferior frontal gyrus,the left middle temporal gyrus,and the left insular gyrus） were related to cognitive function.The results of our study suggest that aberrant development in cognitive brain regions might be associated with age-related brain network changes in ADHD patients.These findings contribute to better understand how brain function influences the symptoms of ADHD.
文摘Objective Using resting-state functional magnetic resonance imaging (rs-fMRI),we explored the changes in dynamic functional network connections (dFNC) in the brains of patients with first-episode schizophrenia (SZ)and evaluated the potential clinical value of dFNC changes in combination with a machine learning model.
基金the National Natural Science Foundation of China(Grant No.61772440,Grant No.62007016).
文摘Chinese calligraphy,as a well-known performing art form,occupies an important role in the intangible cultural heritage of China.Previous studies focused on the psychophysiological benefits of Chinese calligraphy.Little attention has been paid to its aesthetic attributes and effectiveness on the cognitive process.To complement our understanding of Chinese calligraphy,this study investigated the aesthetic experience of Chinese cursive-style calligraphy using brain functional network analysis.Subjects stayed on the coach and rested for several minutes.Then,they were requested to appreciate artwork of cursive-style calligraphy.Results showed that(1)changes in functional connectivity between frontooccipital,fronto-parietal,bilateral parietal,and central–occipital areas are prominent for calligraphy condition,(2)brain functional network showed an increased normalized cluster coefficient for calligraphy condition in alpha2 and gamma bands.These results demonstrate that the brain functional network undergoes a dynamic reconfiguration during the aesthetic experience of Chinese calligraphy.Providing evidence that the aesthetic experience of Chinese calligraphy has several similarities with western art while retaining its unique characters as an eastern traditional art form.
文摘Aesthetic evaluations,including beauty and attractiveness,have an important role in our lives.Despite its importance in our every-day life,enough attention has not been devoted to the assessment of place attractiveness in previous studies.We assume that changes in elements of square attractiveness are associated with changes in brain functional connectivity patterns.In this study,we have tried to explore the relationship between elements of square attractiveness and individuals’emotional perception as well as the brain mechanism involved in the process of cognitive development.There has been a focus on using objective measures of physiological rather than using self-reported data of an individual’s emotions because people cannot understand their emotions properly and it is needed to compare self-report emotions with physiological processes.Classification of the five main elements of attractiveness was performed using the Delphi technique.Subsequently,twenty-four healthy young adults were exposed to the visual stimuli consists of five elements.A 32-channel EEG system was used to record the brain activities of participants while watching the stimuli.The subjects’feelings about valence and arousal levels of the elements were evaluated using the Self-Assessment Manikin(SAM)technique.The findings showed that“visual openness”is the most important element to increase the square attractiveness of everyday landscape in residential areas.The analysis revealed a significant difference(p=0.048)in arousal ratings between more attractive(more openness)(M=4.77)and less attractive(less openness)(M=4.52).Attractiveness elements of the stimuli have a region-specific association with brain functional connectivity networks.This pattern is mainly found in the functional connections between central parts of the brain.
基金Supported by the National Key R&D Program of China(2022YFC2402203)the Key R&D Program of Hebei(21372002D)。
文摘Invasive techniques are becoming increasingly important in the presurgical evaluation of epilepsy.Adopting the electrophysiological source imaging(ESI)of interictal scalp electroencephalography(EEG)to localize the epileptogenic zone remains a challenge.The accuracy of the preoperative localization of the epileptogenic zone is key to curing epilepsy.The T1 MRI and the boundary element method were used to build the realistic head model.To solve the inverse problem,the distributed inverse solution and equivalent current dipole(ECD)methods were employed to locate the epileptogenic zone.Furthermore,a combination of inverse solution algorithms and Granger causality connectivity measures was evaluated.The ECD method exhibited excellent focalization in lateralization and localization,achieving a coincidence rate of 99.02%(p<0.05)with the stereo electroencephalogram.The combination of ECD and the directed transfer function led to excellent matching between the information flow obtained from intracranial and scalp EEG recordings.The ECD inverse solution method showed the highest performance and could extract the discharge information at the cortex level from noninvasive low-density EEG data.Thus,the accurate preoperative localization of the epileptogenic zone could reduce the number of intracranial electrode implantations required.
基金supported by the National Natural Science Foundation of China(grant No.62076157 and 61703253 to YHD)the Fund Program for the Scientific Activities of Selected Returned Overseas Professionals in Shanxi Province(to YHD)the 1331 Engineering Project of Shanxi Province of China.
文摘Psychiatric disorders exhibit extremely high heterogeneity,thus making accurate diagnosis and timely treatment challenging.Numerous neuroimaging studies have revealed abnormal changes in brain functional connectivity among patients with psychiatric disorders.To better understand the complexity of these disorders,researchers have explored hypergraph-based methods.Using functional magnetic resonance imaging data and hypergraph theory,studies have modeled and analyzed brain functional connectivity hypernetworks to classify psychiatric disorders and identify associated biomarkers.Furthermore,modeling a subjects-level hypergraph aids in estimating potential higher-order relationships among individuals;thus,hypergraphs can be used for classifying psychiatric disorders and identifying biomarkers.Recent neuroimaging studies have revealed specific subtypes of psychiatric disorders with biological importance.Hypergraph-based clustering methods have been used to investigate subtypes of psychiatric disorders.However,limited work has surveyed the applications of hypergraph-based methods in classifying and subtyping psychiatric disorders.To address this gap,this article provides a thorough survey,and discusses current challenges and potential future research directions in this field.
