Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network

M Shen, P Wen, B Song, Y Li - Computers in Biology and Medicine, 2023 - Elsevier
Schizophrenia (ScZ) is a devastating mental disorder of the human brain that causes a
serious impact of emotional inclinations, quality of personal and social life and healthcare …

Decreased resting-state neural signal in the left angular gyrus as a potential neuroimaging biomarker of schizophrenia: an amplitude of low-frequency fluctuation and …

Y Gao, X Tong, J Hu, H Huang, T Guo, G Wang… - Frontiers in …, 2022 - frontiersin.org
Objective Schizophrenia (SCH) is primarily diagnosed based on specific clinical symptoms,
with the lack of any objective SCH-related biomarkers often resulting in patient misdiagnosis …

[HTML][HTML] 3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network

M Shen, P Wen, B Song, Y Li - Biomedical Signal Processing and Control, 2024 - Elsevier
Schizophrenia (ScZ) is a chronic mental disorder affecting the function of the brain, which
causes emotional, social, and cognitive problems. This paper explored the functional brain …

Resting-state abnormalities of posterior cingulate in autism spectrum disorder

MK Leung, WKW Lau - Progress in Molecular Biology and Translational …, 2020 - Elsevier
The posterior cingulate cortex (PCC) plays pivotal roles in cognitive, social and emotional
processing, as well as early neural development that supports complex interactions among …

Impaired large-scale cortico–hippocampal network connectivity, including the anterior temporal and posterior medial systems, and its associations with cognition in …

K Xue, J Chen, Y Wei, Y Chen, S Han… - Frontiers in …, 2023 - frontiersin.org
Background and objective The cortico–hippocampal network is an emerging neural
framework with striking evidence that it supports cognition in humans, especially memory; …

[HTML][HTML] Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study

E Hilland, C Johannessen, R Jonassen, D Alnæs… - NeuroImage: Clinical, 2022 - Elsevier
Abnormal default mode network (DMN) connectivity has been found in schizophrenia and
other psychotic disorders. However, there are limited studies on early onset psychosis …

[HTML][HTML] Four-class classification of neuropsychiatric disorders by use of functional near-infrared spectroscopy derived biomarkers

SB Erdoğan, G Yükselen - Sensors, 2022 - mdpi.com
Diagnosis of most neuropsychiatric disorders relies on subjective measures, which makes
the reliability of final clinical decisions questionable. The aim of this study was to propose a …

Abnormal functional connectivity of the striatum in first‐episode drug‐naive early‐onset Schizophrenia

Y Zhang, Y Peng, Y Song, Y Zhou, S Zhang… - Brain and …, 2022 - Wiley Online Library
Abnormal brain network connectivity is strongly implicated in the pathogenesis of
schizophrenia. The striatum, consisting of the caudate and putamen, is the major treatment …

Recurrence quantification analysis of periodic dynamics in the default mode network in first-episode drug-naïve schizophrenia

Y Kang, Y Zhang, K Huang, Z Wang - Psychiatry Research: Neuroimaging, 2023 - Elsevier
Abnormal functional connectivity (FC) within the default model network (DMN) in
schizophrenia has been frequently reported in previous studies. However, traditional FC …