An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future …
Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
A systematic review and meta-analysis of structural and functional brain alterations in individuals with genetic and clinical high-risk for psychosis and bipolar disorder
LP Luna, J Radua, L Fortea, G Sugranyes… - Progress in Neuro …, 2022 - Elsevier
Neuroimaging findings in people at either genetic risk or at clinical high-risk for psychosis
(CHR-P) or bipolar disorder (CHR-B) remain unclear. A meta-analytic review of whole-brain …
(CHR-P) or bipolar disorder (CHR-B) remain unclear. A meta-analytic review of whole-brain …
[HTML][HTML] The gut microbiome is associated with brain structure and function in schizophrenia
S Li, J Song, P Ke, L Kong, B Lei, J Zhou, Y Huang… - Scientific reports, 2021 - nature.com
The effect of the gut microbiome on the central nervous system and its possible role in
mental disorders have received increasing attention. However, knowledge about the …
mental disorders have received increasing attention. However, knowledge about the …
Structural and functional brain alterations in anorexia nervosa: A multimodal meta‐analysis of neuroimaging studies
Anorexia nervosa (AN) is a complex psychiatric disorder with poorly understood etiology.
Numerous voxel‐based morphometry (VBM) and resting‐state functional imaging studies …
Numerous voxel‐based morphometry (VBM) and resting‐state functional imaging studies …
Controllability of functional brain networks and its clinical significance in first-episode schizophrenia
Q Li, L Yao, W You, J Liu, S Deng, B Li… - Schizophrenia …, 2023 - academic.oup.com
Abstract Background and Hypothesis Disrupted control of brain state transitions may
contribute to the diverse dysfunctions of cognition, emotion, and behavior that are …
contribute to the diverse dysfunctions of cognition, emotion, and behavior that are …
Compressed sensorimotor-to-transmodal hierarchical organization in schizophrenia
Background Schizophrenia has been primarily conceptualized as a disorder of high-order
cognitive functions with deficits in executive brain regions. Yet due to the increasing reports …
cognitive functions with deficits in executive brain regions. Yet due to the increasing reports …
[HTML][HTML] Radiomic tractometry reveals tract-specific imaging biomarkers in white matter
Tract-specific microstructural analysis of the brain's white matter (WM) using diffusion MRI
has been a driver for neuroscientific discovery with a wide range of applications. Tractometry …
has been a driver for neuroscientific discovery with a wide range of applications. Tractometry …
[HTML][HTML] Progressive trajectories of schizophrenia across symptoms, genes, and the brain
Background Schizophrenia is characterized by complex psychiatric symptoms and unclear
pathological mechanisms. Most previous studies have focused on the morphological …
pathological mechanisms. Most previous studies have focused on the morphological …
[HTML][HTML] Decreased resting-state neural signal in the left angular gyrus as a potential neuroimaging biomarker of schizophrenia: an amplitude of low-frequency …
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 …
with the lack of any objective SCH-related biomarkers often resulting in patient misdiagnosis …
Nonlinear functional network connectivity in resting functional magnetic resonance imaging data
SM Motlaghian, A Belger, JR Bustillo… - Human brain …, 2022 - Wiley Online Library
In this work, we focus on explicitly nonlinear relationships in functional networks. We
introduce a technique using normalized mutual information (NMI) that calculates the …
introduce a technique using normalized mutual information (NMI) that calculates the …