Examining resting-state functional connectivity in first-episode schizophrenia with 7T fMRI and MEG

NeuroImage. Clinical
Kristin K LottmanAdrienne C Lahti

Abstract

Schizophrenia is often characterized by dysconnections in the brain, which can be estimated via functional connectivity analyses. Commonly measured using resting-state functional magnetic resonance imaging (fMRI) in order to characterize the intrinsic or baseline function of the brain, fMRI functional connectivity has significantly contributed to the understanding of schizophrenia. However, these measures may not capture the full extent of functional connectivity abnormalities in schizophrenia as fMRI is temporally limited by the hemodynamic response. In order to extend fMRI functional connectivity findings, the complementary modality of magnetoencephalography (MEG) can be utilized to capture electrophysiological functional connectivity abnormalities in schizophrenia that are not obtainable with fMRI. Therefore, we implemented a multimodal functional connectivity analysis using resting-state 7 Tesla fMRI and MEG data in a sample of first-episode patients with schizophrenia (n = 19) and healthy controls (n = 24). fMRI and MEG data were decomposed into components reflecting resting state networks using a group spatial independent component analysis. Functional connectivity between resting-state networks was computed and group dif...Continue Reading

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Citations

Jan 5, 2021·Frontiers in Psychiatry·Felicha T Candelaria-Cook, Julia M Stephen
Feb 3, 2021·Biostatistics·Andrew DilerniaLin Zhang
Feb 14, 2021·Neuroscience and Biobehavioral Reviews·Bianca Bianciardi, Peter J Uhlhaas
Apr 6, 2021·European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology·Gregory P StraussAdrienne C Lahti

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Methods Mentioned

BETA
PCA

Software Mentioned

JADE
GIFT Toolbox
Brainstorm
CONN ” Connectivity Toolbox
FreeSurfer
iPAT GRAPPA
GICA
GRAPPA
ICASSO
Group ICA of fMRI Toolbox ( GIFT

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