[HTML][HTML] Dynamic functional connectivity in schizophrenia and bipolar disorder: A review of the evidence and associations with psychopathological features

G Cattarinussi, A Di Giorgio, F Moretti, E Bondi… - Progress in Neuro …, 2023 - Elsevier
Alterations of functional network connectivity have been implicated in the pathophysiology of
schizophrenia (SCZ) and bipolar disorder (BD). Recent studies also suggest that the …

Aberrant dynamic functional connectivity of default mode network in schizophrenia and links to symptom severity

MSE Sendi, E Zendehrouh, CA Ellis, Z Liang… - Frontiers in Neural …, 2021 - frontiersin.org
Background: Schizophrenia affects around 1% of the global population. Functional
connectivity extracted from resting-state functional magnetic resonance imaging (rs-fMRI) …

Research and development of inventory management and human resource management in ERP

B Zhao, C Tu - Wireless Communications and Mobile …, 2021 - Wiley Online Library
Nowadays, more and more companies are applying total inventory management as well as
human resource management as one of the core concepts of the enterprise management …

[HTML][HTML] Alterations in brain connectivity patterns in schizophrenia patients with auditory verbal hallucinations during low frequency repetitive transcranial magnetic …

Y Xie, M Guan, Z Wang, Z Ma, H Wang, P Fang - Psychiatry Research, 2023 - Elsevier
Objective Auditory verbal hallucinations (AVH) are a characteristic symptom of
schizophrenia. Although low-frequency repetitive transcranial magnetic stimulation (rTMS) …

Disrupted dynamic functional network connectivity among cognitive control networks in the progression of Alzheimer's disease

MSE Sendi, E Zendehrouh, Z Fu, J Liu, Y Du… - Brain …, 2023 - liebertpub.com
Background: Alzheimer's disease (AD) is the most common age-related dementia that
promotes a decline in memory, thinking, and social skills. The initial stages of dementia can …

Algorithm-agnostic explainability for unsupervised clustering

CA Ellis, MSE Sendi, E Geenjaar, SM Plis… - arXiv preprint arXiv …, 2021 - arxiv.org
Supervised machine learning explainability has developed rapidly in recent years. However,
clustering explainability has lagged behind. Here, we demonstrate the first adaptation of …

[HTML][HTML] Towards greater neuroimaging classification transparency via the integration of explainability methods and confidence estimation approaches

CA Ellis, RL Miller, VD Calhoun - Informatics in medicine unlocked, 2023 - Elsevier
The field of neuroimaging has increasingly sought to develop artificial intelligence-based
models for neurological and neuropsychiatric disorder automated diagnosis and clinical …

[HTML][HTML] Pairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamics

CA Ellis, RL Miller, VD Calhoun - Neuroimage: Reports, 2023 - Elsevier
Many studies have analyzed resting state functional magnetic resonance imaging (rs-fMRI)
dynamic functional network connectivity (dFNC) data to elucidate the effects of neurological …

Involvement of cerebellar and subcortical connector hubs in schizophrenia

M Yamamoto, E Bagarinao, M Shimamoto, T Iidaka… - NeuroImage: Clinical, 2022 - Elsevier
Background Schizophrenia is considered a brain connectivity disorder in which functional
integration within the brain fails. Central to the brain's integrative function are connector …

Altered nonlinear Granger causality interactions in the large-scale brain networks of patients with schizophrenia

Y Fu, M Niu, Y Gao, S Dong, Y Huang… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. It has been demonstrated that schizophrenia (SZ) is characterized by functional
dysconnectivity involving extensive brain networks. However, the majority of previous …