The altered network complexity of resting-state functional brain activity in schizophrenia and bipolar disorder patients

Y Niu, N Zhang, M Zhou, L Yang, J Sun… - Brain Science …, 2023 - journals.sagepub.com
Schizophrenia (SZ) and bipolar disorder (BD) are two of the most frequent mental disorders.
These disorders exhibit similar psychotic symptoms, making diagnosis challenging and …

Abnormal cortical region and subsystem complexity in dynamical functional connectivity of chronic schizophrenia: a new graph index for fMRI analysis

B Chen - Journal of Neuroscience Methods, 2019 - Elsevier
Objectives: Schizophrenia is a predominant product of pathological alterations distributed
throughout interconnected neural systems. Designing new objectively diagnostic methods …

[HTML][HTML] Multi-modal neuroimaging technique: Innovations and applications

B Wang, T Yan - Brain Science Advances, 2023 - journals.sagepub.com
In the last two decades, neuroimaging techniques have made quite a splash in not only our
general understanding of healthy brain working mechanisms but also in gaining a better …

Identifying nonlinear dynamics of brain functional networks of patients with schizophrenia by sample entropy

Y Jia, H Gu - Nonlinear Dynamics, 2019 - Springer
Different regions in the human brain functionally connect with each other forming a brain
functional network, and the time evolution of functional connectivity between different brain …

Static and Dynamic Cross-Network Functional Connectivity Shows Elevated Entropy in Schizophrenia Patients

N Maksymchuk, JR Bustillo, DH Mathalon, A Preda… - bioRxiv, 2024 - biorxiv.org
Schizophrenia (SZ) patients exhibit abnormal static and dynamic functional connectivity
across various brain domains. We present a novel approach based on static and dynamic …

[HTML][HTML] Classification of schizophrenia patients based on resting-state functional network connectivity

MR Arbabshirani, KA Kiehl, GD Pearlson… - Frontiers in …, 2013 - frontiersin.org
There is a growing interest in automatic classification of mental disorders based on
neuroimaging data. Small training data sets (subjects) and very large amount of high …

Altered temporal variability in brain functional connectivity identified by fuzzy entropy underlines schizophrenia deficits

L Jiang, J Wang, J Dai, F Li, B Chen, R He… - Journal of Psychiatric …, 2022 - Elsevier
Investigation of the temporal variability of resting-state brain networks informs our
understanding of how neural connectivity aggregates and disassociates over time, further …

[HTML][HTML] Altered cortical functional networks in patients with schizophrenia and bipolar disorder: a resting-state electroencephalographic study

S Kim, YW Kim, M Shim, MJ Jin, CH Im… - Frontiers in psychiatry, 2020 - frontiersin.org
Background Pathologies of schizophrenia and bipolar disorder have been poorly
understood. Brain network analysis could help understand brain mechanisms of …

Analysis of functional MRI signal complexity based on permutation fuzzy entropy in bipolar disorder

J Xiang, Y Tan, Y Niu, J Sun, N Zhang, D Li… - …, 2021 - journals.lww.com
Bipolar disorder is a manifestation of an emotional disease and is associated with emotional
and cognitive dysfunction. The entropy-based method has been widely used to study the …

[HTML][HTML] Temporal-spatial dynamic functional connectivity analysis in schizophrenia classification

C Pan, H Yu, X Fei, X Zheng, R Yu - Frontiers in Neuroscience, 2022 - frontiersin.org
With the development of resting-state functional magnetic resonance imaging (rs-fMRI)
technology, the functional connectivity network (FCN) which reflects the statistical similarity …