Gagan S. Wig, Ph.D.

Affiliations: 
Washington University, Saint Louis, St. Louis, MO 
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"Gagan Wig"
Mean distance: 13.59 (cluster 23)
 
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Publications

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Petersen SE, Seitzman BA, Nelson SM, et al. (2024) Principles of cortical areas and their implications for neuroimaging. Neuron
Han L, Chan MY, Agres PF, et al. (2024) Measures of resting-state brain network segregation and integration vary in relation to data quantity: implications for within and between subject comparisons of functional brain network organization. Cerebral Cortex (New York, N.Y. : 1991). 34
Wig GS, Klausner S, Chan MY, et al. (2024) Participant diversity is necessary to advance brain aging research. Trends in Cognitive Sciences
Zhang Z, Chan MY, Han L, et al. (2023) Dissociable effects of Alzheimer's Disease-related cognitive dysfunction and aging on functional brain network segregation. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Smith ET, Hennessee JP, Wig GS, et al. (2023) Longitudinal changes in gray matter correspond to changes in cognition across the lifespan: implications for theories of cognition. Neurobiology of Aging. 129: 1-14
Hennessee JP, Webb CE, Chen X, et al. (2022) Relationship of prefrontal brain lateralization to optimal cognitive function differs with age. Neuroimage. 119736
Chan MY, Han L, Carreno CA, et al. (2021) Long-term prognosis and educational determinants of brain network decline in older adult individuals. Nature Aging. 1: 1053-1067
Zheng A, Montez DF, Marek S, et al. (2021) Parallel hippocampal-parietal circuits for self- and goal-oriented processing. Proceedings of the National Academy of Sciences of the United States of America. 118
Chen X, Farrell ME, Rundle MM, et al. (2021) The relationship of functional hippocampal activity, amyloid deposition, and longitudinal memory decline to memory complaints in cognitively healthy older adults. Neurobiology of Aging. 105: 318-326
Gratton C, Dworetsky A, Coalson RS, et al. (2020) Removal of high frequency contamination from motion estimates in single-band fMRI saves data without biasing functional connectivity. Neuroimage. 116866
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