S
Stan Colcombe
Researcher at Nathan Kline Institute for Psychiatric Research
Publications - 19
Citations - 4431
Stan Colcombe is an academic researcher from Nathan Kline Institute for Psychiatric Research. The author has contributed to research in topics: Connectome & Connectomics. The author has an hindex of 11, co-authored 19 publications receiving 4006 citations. Previous affiliations of Stan Colcombe include University of Illinois at Urbana–Champaign & Bangor University.
Papers
More filters
Journal ArticleDOI
Toward discovery science of human brain function
Bharat B. Biswal,Maarten Mennes,Xi-Nian Zuo,Suril Gohel,Clare Kelly,Steve M. Smith,Christian F. Beckmann,Jonathan S. Adelstein,Randy L. Buckner,Stan Colcombe,Anne Marie Dogonowski,Monique Ernst,Damien A. Fair,Michelle Hampson,Matthew J. Hoptman,James S. Hyde,Vesa Kiviniemi,Rolf Kötter,Shi-Jiang Li,Ching Po Lin,Mark J. Lowe,Clare E. Mackay,David J. Madden,Kristoffer Hougaard Madsen,Daniel S. Margulies,Helen S. Mayberg,Katie L. McMahon,Christopher S. Monk,Stewart H. Mostofsky,Bonnie J. Nagel,James J. Pekar,Scott Peltier,Steven E. Petersen,Valentin Riedl,Serge A.R.B. Rombouts,Bart Rypma,Bradley L. Schlaggar,Sein Schmidt,Rachael D. Seidler,Greg J. Siegle,Christian Sorg,Gao Jun Teng,Juha Veijola,Arno Villringer,Martin Walter,Lihong Wang,Xu Chu Weng,Susan Whitfield-Gabrieli,Peter C. Williamson,Christian Windischberger,Yu-Feng Zang,Hong Ying Zhang,F. Xavier Castellanos,F. Xavier Castellanos,Michael P. Milham +54 more
TL;DR: The 1000 Functional Connectomes Project (Fcon_1000) as discussed by the authors is a large-scale collection of functional connectome data from 1,414 volunteers collected independently at 35 international centers.
Journal ArticleDOI
Imaging human connectomes at the macroscale
R. Cameron Craddock,Saad Jbabdi,Chao-Gan Yan,Chao-Gan Yan,Chao-Gan Yan,Joshua T. Vogelstein,F. Xavier Castellanos,F. Xavier Castellanos,Adriana Di Martino,Clare Kelly,Keith Heberlein,Stan Colcombe,Michael P. Milham,Michael P. Milham +13 more
TL;DR: This Review provides a survey of magnetic resonance imaging–based measurements of functional and structural connectivity and highlights emerging areas of development and inquiry and the importance of integrating structural and functional perspectives on brain architecture.
Journal ArticleDOI
The implications of cortical recruitment and brain morphology for individual differences in inhibitory function in aging humans.
TL;DR: Morphological analyses revealed that frontal white matter tracts differed as a function of performance in older adults, suggesting that hemispheric connectivity might impact both patterns of recruitment and cognitive performance.
Journal ArticleDOI
Age-related differences in regional brain volumes: A comparison of optimized voxel-based morphometry to manual volumetry
Kristen M. Kennedy,Kirk I. Erickson,Karen M. Rodrigue,Michelle W. Voss,Stan Colcombe,Arthur F. Kramer,James D. Acker,Naftali Raz +7 more
TL;DR: VBM provides realistic estimates of age differences in the regional gray matter only when applied to anatomically defined regions, but overestimates effects when individual peaks are interpreted, and it may be beneficial to use VBM as a first-pass strategy, followed by manual measurement of anatomical defined regions.
Journal ArticleDOI
Neurocognitive aging and cardiovascular fitness: recent findings and future directions.
TL;DR: Some of the recent research on the effects of CVF on brain function, structure, and behavior in older adults is reviewed and some of the current and future directions in this area are outlined.