№ files_lp_3_process_7_071682
Supplementary methodological description of structural and functional MRI preprocessing, motion control procedures, surface-based time series extraction, and coactivation pattern clustering applied to investigate dynamic brain network organization in individuals with affective disorders undergoing running therapy.
Authors: Julian Gaviria Lopez; Guido Van Wingen; Chris Vriend; Laura K.M. Han; Jennifer Labus; Gitte M. Knudsen; Brenda W.J.H. Penninx
Corresponding author: Julian Gaviria Lopez
Correspondence email: [email protected]
Affiliations: Amsterdam UMC, Vrije Universiteit Amsterdam; Amsterdam Neuroscience; University of California, Los Angeles; Copenhagen University Hospital Rigshospitalet; University of Copenhagen
Running title: Brain dynamics underlying running therapy
Keywords: Running therapy; Brain networks; affective disorders; dynamic functional connectivity; depression; anxiety
Type of document: Supplementary methods
Field: Psychiatry; Neuroimaging; Affective disorders
Imaging modalities: Structural MRI; Resting-state fMRI
Software used: FreeSurfer 7.1.1; fMRIPrep v20.2.1; MRIqc; ciftify
Analytical methods: fMRI preprocessing; motion assessment and quality control; surface-based time series extraction; coactivation pattern analysis; k-means clustering
Brain parcellation: Schaefer atlas; 14 subcortical regions
Population: Individuals with affective disorders and comparison participants
Outcome measures: Dynamic functional connectivity; co-activation patterns; motion metrics (FD, DVARS, temporal SNR)
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