Brain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging

Q Yu, EA Allen, J Sui, MR Arbabshirani… - Current topics in …, 2012 - ingentaconnect.com
Schizophrenia (SZ) is a severe neuropsychiatric disorder. A leading hypothesis is that SZ is
a brain dysconnection syndrome, involving abnormal interactions between widespread …

Resting-state connectivity in the prodromal phase of schizophrenia: insights from EEG microstates

C Andreou, PL Faber, G Leicht, D Schoettle… - Schizophrenia …, 2014 - Elsevier
Introduction Resting-state EEG microstates are thought to reflect the momentary local states
and interactions of distributed neural networks in the brain. Several changes in resting-state …

Resting-state brain function in schizophrenia and psychotic bipolar probands and their first-degree relatives

S Lui, L Yao, Y Xiao, SK Keedy, JL Reilly… - Psychological …, 2015 - cambridge.org
BackgroundSchizophrenia (SCZ) and psychotic bipolar disorder (PBD) share considerable
overlap in clinical features, genetic risk factors and co-occurrence among relatives. The …

Allodynia and descending pain modulation in migraine: a resting state functional connectivity analysis

TJ Schwedt, L Larson-Prior, RS Coalson… - Pain …, 2014 - academic.oup.com
Objective Most migraineurs develop cutaneous allodynia during migraines, and many have
cutaneous sensitization between attacks. Atypical pain modulation via the descending pain …

Resting state functional connectivity of five neural networks in bipolar disorder and schizophrenia

D Mamah, DM Barch, G Repovš - Journal of affective disorders, 2013 - Elsevier
Background Bipolar disorder (BPD) and schizophrenia (SCZ) share clinical characteristics
and genetic contributions. Functional dysconnectivity across various brain networks has …

Granger causality analysis implementation on MATLAB: a graphic user interface toolkit for fMRI data processing

ZX Zang, CG Yan, ZY Dong, J Huang… - Journal of neuroscience …, 2012 - Elsevier
A lot of functional magnetic resonance imaging (fMRI) studies have indicated that Granger
causality analysis (GCA) is a suitable method to reveal causal effect among brain regions …

Three-way (N-way) fusion of brain imaging data based on mCCA+ jICA and its application to discriminating schizophrenia

J Sui, H He, GD Pearlson, T Adali, KA Kiehl, Q Yu… - NeuroImage, 2013 - Elsevier
Multimodal fusion is an effective approach to better understand brain diseases. However,
most such instances have been limited to pair-wise fusion; because there are often more …

Abnormal spontaneous neural activity as a potential predictor of early treatment response in patients with obsessive–compulsive disorder

H Yan, X Shan, H Li, F Liu, W Guo - Journal of Affective Disorders, 2022 - Elsevier
Background We aimed to explore the value of early improvement in obsessive–compulsive
disorder (OCD) along with potential imaging changes after treatment with paroxetine in …

Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data

X Meng, R Jiang, D Lin, J Bustillo, T Jones, J Chen… - Neuroimage, 2017 - Elsevier
Neuroimaging techniques have greatly enhanced the understanding of neurodiversity
(human brain variation across individuals) in both health and disease. The ultimate goal of …

[HTML][HTML] Abnormalities in large scale functional networks in unmedicated patients with schizophrenia and effects of risperidone

NV Kraguljac, DM White, JA Hadley, K Visscher… - NeuroImage: Clinical, 2016 - Elsevier
Objective To describe abnormalities in large scale functional networks in unmedicated
patients with schizophrenia and to examine effects of risperidone on networks. Material and …