Faculty, Staff and Student Publications
Language
English
Publication Date
4-1-2025
Journal
Human Brain Mapping
DOI
10.1002/hbm.70206
PMID
40172075
PMCID
PMC11963075
PubMedCentral® Posted Date
4-2-2025
PubMedCentral® Full Text Version
Post-print
Abstract
Neuropsychiatric disorders are associated with altered functional connectivity (FC); however, the reported regional patterns of functional alterations suffered from low replicability and high variability. This is partly because of differences in the atlas and delineation techniques used to measure FC-related deficits within/across disorders. We systematically investigated the impact of the brain parcellation approach on the FC-based brain network analysis. We focused on identifying the replicable FCs using three structural brain atlases, including Automated Anatomical Labeling (AAL), Brainnetome atlas (BNA) and HCP_MMP_1.0, and four functional brain parcellation approaches: Yeo-Networks (Yeo), Gordon parcel (Gordon) and two Schaefer parcelletions, among correlation, group difference, and classification tasks in six neuropsychiatric disorders: attention deficit and hyperactivity disorder (ADHD, n = 340), autism spectrum disorder (ASD, n = 513), schizophrenia (SZ, n = 200), schizoaffective disorder (SAD, n = 142), bipolar disorder (BP, n = 172), and major depression disorder (MDD, n = 282). Our cross-atlas/disorder analyses demonstrated that frontal-related FC deficits were reproducible in all disorders, independent of the atlasing approach; however, replicable FC extraction in other areas and the classification accuracy were affected by the parcellation schema. Overall, functional atlases with finer granularity performed better in classification tasks. Specifically, the Schaefer atlases generated the most repeatable FC deficit patterns across six illnesses. These results indicate that frontal-related FCs may serve as potential common and robust neuro-abnormalities across 6 psychiatric disorders. Furthermore, in order to improve the replicability of rsfMRI-based FC analyses, this study suggests the use of functional templates at larger granularity.
Keywords
Humans, Male, Female, Mental Disorders, Magnetic Resonance Imaging, Brain, Adult, Atlases as Topic, Neural Pathways, Young Adult, Connectome, Middle Aged, Brain Mapping, Image Processing, Computer-Assisted, Bipolar Disorder, brain atlases, brain network analysis, functional connectivity, psychiatry, replicability
Published Open-Access
yes
Recommended Citation
Wu, Xiaoya; Liang, Chuang; Bustillo, Juan; et al., "The Impact of Atlas Parcellation on Functional Connectivity Analysis Across Six Psychiatric Disorders" (2025). Faculty, Staff and Student Publications. 4397.
https://digitalcommons.library.tmc.edu/uthmed_docs/4397