Brain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging
Schizophrenia (SZ) is a severe neuropsychiatric disorder. A leading hypothesis is that SZ is
a brain dysconnection syndrome, involving abnormal interactions between widespread …
a brain dysconnection syndrome, involving abnormal interactions between widespread …
Resting-state connectivity in the prodromal phase of schizophrenia: insights from EEG microstates
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 …
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 …
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 …
cutaneous sensitization between attacks. Atypical pain modulation via the descending pain …
Resting state functional connectivity of five neural networks in bipolar disorder and schizophrenia
Background Bipolar disorder (BPD) and schizophrenia (SCZ) share clinical characteristics
and genetic contributions. Functional dysconnectivity across various brain networks has …
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
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 …
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
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 …
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
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 …
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
Neuroimaging techniques have greatly enhanced the understanding of neurodiversity
(human brain variation across individuals) in both health and disease. The ultimate goal of …
(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
Objective To describe abnormalities in large scale functional networks in unmedicated
patients with schizophrenia and to examine effects of risperidone on networks. Material and …
patients with schizophrenia and to examine effects of risperidone on networks. Material and …