Pattern classification of large-scale functional brain networks : identification of informative neuroimaging markers for epilepsy [PDF]
The accurate prediction of general neuropsychiatric disorders, on an individual basis, using resting-state functional magnetic resonance imaging (fMRI) is a challenging task of great clinical significance.
GuangMing Lu +20 more
core +1 more source
Resting-State Functional Connectivity in Psychiatric Disorders [PDF]
The idea that serious mental illnesses such as autism and schizophrenia result from abnormal connectivity of large-scale brain networks is gaining widespread acceptance. Efforts to test dysconnectivity hypotheses have historically been hindered by tools with insufficient spatial resolution to investigate human brain connectivity in vivo and an ...
Neil D, Woodward, Carissa J, Cascio
openaire +2 more sources
Dynamic BOLD functional connectivity in humans and its electrophysiological correlates [PDF]
Neural oscillations subserve many human perceptual and cognitive operations. Accordingly, brain functional connectivity is not static in time, but fluctuates dynamically following the synchronization and desynchronization of neural populations.
Verena Brodbeck +14 more
core +1 more source
Resting state MRI functional connectivity and negative symptoms in subjects with schizophrenia [PDF]
Resting state MRI functional connectivity and negative symptoms in subjects with ...
P. Pezzella +11 more
core +1 more source
Neuroplastic changes in resting-state functional connectivity after stroke rehabilitation [PDF]
Most neuroimaging research in stroke rehabilitation mainly focuses on the neural mechanisms underlying the natural history of post-stroke recovery. However, connectivity mapping from resting-state fMRI is well suited for different neurological conditions
Fan, Yang-teng; Wu, Ching-yi; Liu, Ho-ling; Lin, Keh-chung; Wai, Yau-yau; Chen, Yao-liang
core +1 more source
Purpose: Characterize the static and dynamic functional connectivity for subjects with juvenile myoclonic epilepsy (JME) using a quantitative data-driven analysis approach.
Yanlu Wang +3 more
doaj +1 more source
Functional connectivity – the co-activation of brain regions – forms the basis of the brain’s functional architecture. Often measured during resting-state (i.e., in a task-free setting), patterns of functional connectivity within and between brain ...
Colleen Hughes +4 more
doaj +1 more source
Reproducibility of functional connectivity and graph measures based on the Phase Lag Index (PLI) and weighted Phase Lag Index (wPLI) derived from high resolution EEG [PDF]
Functional connectivity (FC) and graph measures provide powerful means to analyze complex networks. The current study determines the inter-subject-variability using the coefficient of variation (CoV) and long-term test-retest-reliability (TRT) using the ...
Florian Hatz +23 more
core +1 more source
Large-scale intrinsic connectivity is consistent across varying task demands.
Measuring whole-brain functional connectivity patterns based on task-free ('resting-state') spontaneous fluctuations in the functional MRI (fMRI) signal is a standard approach to probing habitual brain states, independent of task-specific context.
Paulina Kieliba +4 more
doaj +1 more source
Heritability of Resting State EEG Functional Connectivity Patterns [PDF]
We examined the genetic architecture of functional brain connectivity measures in resting state electroencephalographic (EEG) recordings. Previous studies in Dutch twins have suggested that genetic factors are a main source of variance in functional brain connectivity derived from EEG recordings.
Schutte, Nienke M. +5 more
openaire +6 more sources

