TY - JOUR
T1 - What have we really learned from functional connectivity in clinical populations?
AU - Zhang, Jiahe
AU - Kucyi, Aaron
AU - Raya, Jovicarole
AU - Nielsen, Ashley N.
AU - Nomi, Jason S.
AU - Damoiseaux, Jessica S.
AU - Greene, Deanna J.
AU - Horovitz, Silvina G.
AU - Uddin, Lucina Q.
AU - Whitfield-Gabrieli, Susan
N1 - Funding Information:
This work was supported by the NIMH ( R01MH118217 to DJG, R01MH107549 to LQU, R03MH121668 to JSN, R61/R33MH113751-01A1 and R01MH111448-01 to SWG), the NINDS ( Intramural Research Program to SGH ), the University of Miami ( Gabelli Senior Scholar award to LQU ), the Brain and Behavior Research Foundation (NARSAD Young Investigator Award to JSN), and the Poitras Center for Psychiatric Disorders Research at Massachusetts Institute of Technology (to SWG). We thank the executive office of the Organization for Human Brain Mapping for providing information on annual meeting abstracts from the past five years.
Publisher Copyright:
© 2021
PY - 2021/11/15
Y1 - 2021/11/15
N2 - Functional connectivity (FC), or the statistical interdependence of blood-oxygen dependent level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool for probing functional abnormalities in clinical populations due to the promise of the approach across conceptual, technical, and practical levels. With an already vast and steadily accumulating neuroimaging literature on neurodevelopmental, psychiatric, and neurological diseases and disorders in which FC is a primary measure, we aim here to provide a high-level synthesis of major concepts that have arisen from FC findings in a manner that cuts across different clinical conditions and sheds light on overarching principles. We highlight that FC has allowed us to discover the ubiquity of intrinsic functional networks across virtually all brains and clarify typical patterns of neurodevelopment over the lifespan. This understanding of typical FC maturation with age has provided important benchmarks against which to evaluate divergent maturation in early life and degeneration in late life. This in turn has led to the important insight that many clinical conditions are associated with complex, distributed, network-level changes in the brain, as opposed to solely focal abnormalities. We further emphasize the important role that FC studies have played in supporting a dimensional approach to studying transdiagnostic clinical symptoms and in enhancing the multimodal characterization and prediction of the trajectory of symptom progression across conditions. We highlight the unprecedented opportunity offered by FC to probe functional abnormalities in clinical conditions where brain function could not be easily studied otherwise, such as in disorders of consciousness. Lastly, we suggest high priority areas for future research and acknowledge critical barriers associated with the use of FC methods, particularly those related to artifact removal, data denoising and feasibility in clinical contexts.
AB - Functional connectivity (FC), or the statistical interdependence of blood-oxygen dependent level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool for probing functional abnormalities in clinical populations due to the promise of the approach across conceptual, technical, and practical levels. With an already vast and steadily accumulating neuroimaging literature on neurodevelopmental, psychiatric, and neurological diseases and disorders in which FC is a primary measure, we aim here to provide a high-level synthesis of major concepts that have arisen from FC findings in a manner that cuts across different clinical conditions and sheds light on overarching principles. We highlight that FC has allowed us to discover the ubiquity of intrinsic functional networks across virtually all brains and clarify typical patterns of neurodevelopment over the lifespan. This understanding of typical FC maturation with age has provided important benchmarks against which to evaluate divergent maturation in early life and degeneration in late life. This in turn has led to the important insight that many clinical conditions are associated with complex, distributed, network-level changes in the brain, as opposed to solely focal abnormalities. We further emphasize the important role that FC studies have played in supporting a dimensional approach to studying transdiagnostic clinical symptoms and in enhancing the multimodal characterization and prediction of the trajectory of symptom progression across conditions. We highlight the unprecedented opportunity offered by FC to probe functional abnormalities in clinical conditions where brain function could not be easily studied otherwise, such as in disorders of consciousness. Lastly, we suggest high priority areas for future research and acknowledge critical barriers associated with the use of FC methods, particularly those related to artifact removal, data denoising and feasibility in clinical contexts.
KW - Brain networks
KW - Connectomics
KW - Intrinsic functional connectivity
KW - Mental health
KW - Resting state fMRI
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U2 - 10.1016/j.neuroimage.2021.118466
DO - 10.1016/j.neuroimage.2021.118466
M3 - Article
C2 - 34389443
AN - SCOPUS:85112586094
VL - 242
JO - NeuroImage
JF - NeuroImage
SN - 1053-8119
M1 - 118466
ER -