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Exploring the Abnormal Brain Regions and Abnormal Functional Connections in SZ by Multiple Hypothesis Testing Technique
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作者 Lan Yang Shun Qi +1 位作者 Chen Qiao Yanmei Kang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2020年第10期215-237,共23页
Schizophrenia(SZ)is one of the most common mental diseases.Its main characteristics are abnormal social behavior and inability to correctly understand real things.In recent years,the magnetic resonance imaging(MRI)tec... Schizophrenia(SZ)is one of the most common mental diseases.Its main characteristics are abnormal social behavior and inability to correctly understand real things.In recent years,the magnetic resonance imaging(MRI)technique has been popularly utilized to study SZ.However,it is still a great challenge to reveal the essential information contained in the MRI data.In this paper,we proposed a biomarker selection approach based on the multiple hypothesis testing techniques to explore the difference between SZ and healthy controls by using both functional and structural MRI data,in which biomarkers represent both abnormal brain functional connectivity and abnormal brain regions.By implementing the biomarker selection approach,six abnormal brain regions and twenty-three abnormal functional connectivity in the brains of SZ are explored.It is discovered that compared with healthy controls,the significantly reduced gray matter volumes are mainly distributed in the limbic lobe and the basal ganglia,and the significantly increased gray matter volumes are distributed in the frontal gyrus.Meanwhile,it is revealed that the significantly strengthened connections are those between the middle frontal gyrus and the superior occipital gyrus,the superior occipital gyrus and the middle occipital gyrus as well as the middle occipital gyrus and the fusiform gyrus,and the rest connections are significantly weakened. 展开更多
关键词 Multiple hypothesis testing SCHIZOPHRENIA magnetic resonance imaging abnormal brain regions abnormal functional connectivity
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Study on Functional Connectivity Density in Patients with Frontal Lobe Tumor at Resting-State
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作者 YANG Yu-xuan YAO Liu-ye +2 位作者 TAO Ling QIAN Zhi-yu XUE Li 《Chinese Journal of Biomedical Engineering(English Edition)》 2017年第4期146-157,共12页
At present, the neuropathological mechanisms and the plastic changes of brain cognitive function in patents with front lobe tumor remain unclear, most studies just focused on global measures of brain functional connec... At present, the neuropathological mechanisms and the plastic changes of brain cognitive function in patents with front lobe tumor remain unclear, most studies just focused on global measures of brain functional connectivity without considering the time correlation in the different regions of the brain. This study aims to investigate brain cognitive alterations and functional plasticity in patients with front lobe tumor at resting-state by conducting functional connectivity density(FCD) mapping and granger causality analysis(GCA). Firstly, FCD mapping was used to extract abnormal functional connectivity(FC) of patients with frontal lobe tumor, and analyzed altered brain FC in both short-and long-range FCD. Then, the voxel-wise GCA method was used to analyze the causal relationship between altered FC regions and other regions in order to detect the time correlation between regions of interest(ROI) and reveal the direction of information flow between brain ROIs. It was found that patients had increased short-range FCD in motor and space attention function areas, had increased short-and long-range FCDs both in Temporal and Insula, and the causal coefficients were changed obviously in Temporal and Frontal. The results show that there is a functional plasticity in space attention function areas. Temporal and Insula are affected by tumor in frontal lobe, and functional reorganization appears inside Temporal. 展开更多
关键词 functional connectivity density(FCD) granger causality analysis(GCA) abnormal functional connectivity functional plasticity front lobe tumor
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Distinct Olfactory Bulb-Cortex Neural Circuits Coordinate Cognitive Function in Parkinson's Disease
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作者 Shuai-Shuai Wang Xing-Feng Mao +11 位作者 Zhi-Shen Cai Wen Lin Xiu-Xiu Liu Bei Luo Xiang Chen Yue Yue Heng-Yu Fan Takuya Sasaki Kohji Fukunaga Wen-Bin Zhang Ying-Mei Lu Feng Han 《Research》 2025年第2期846-862,共17页
Cognitive dysfunction stands as a prevalent and consequential non-motor manifestation in Parkinson's disease(PD).Although dysfunction of the olfactory system has been recognized as an important predictor of cognit... Cognitive dysfunction stands as a prevalent and consequential non-motor manifestation in Parkinson's disease(PD).Although dysfunction of the olfactory system has been recognized as an important predictor of cognitive decline,the exact mechanism by which aberrant olfactory circuits contribute to cognitive dysfunction in PD is unclear.Here,we provide the first evidence for abnormal functional connectivity across olfactory bulb(OB)and piriform cortex(PC)or entorhinal cortex(EC)by clinical fMRl,and dysfunction of neural coherence in the olfactory system in PD mice.Moreover,we discovered that 2 subpopulations of mitral/tufted(M/T)cells in OB projecting to anterior PC(aPC)and EC precisely mediated the process of cognitive memory respectively by neural coherence at specific frequencies in mice.In addition,the transcriptomic profiling analysis and functional genetic regulation analysis further revealed that biorientation defective 1(Bodl)may play a pivotal role in encoding OB^(M/T)-mediated cognitive function.We also verified that a new deep brain stimulation protocol in OB ameliorated the cognitive function of Bodl-deficient mice and PD mice.Together,aberrant coherent activity in the olfactory system can serve as a biomarker for assessing cognitive function and provide a candidate therapeutic target for the treatment of PD. 展开更多
关键词 clinical fmrland olfactory bulb aberrant olfactory circuits parkinsons disease pd olfactory system dysfunction abnormal functional connectivity cognitive dysfunction
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