M
Michael P. Milham
Researcher at MIND Institute
Publications - 359
Citations - 50760
Michael P. Milham is an academic researcher from MIND Institute. The author has contributed to research in topics: Resting state fMRI & Medicine. The author has an hindex of 99, co-authored 317 publications receiving 42144 citations. Previous affiliations of Michael P. Milham include Montreal Neurological Institute and Hospital & New York University.
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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
The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
A Di Martino,C-G Yan,Qingyang Li,E Denio,Francisco X. Castellanos,Francisco X. Castellanos,Kaat Alaerts,Kaat Alaerts,Jeffrey S. Anderson,Michal Assaf,Susan Y. Bookheimer,Mirella Dapretto,Ben Deen,Ben Deen,Sonja Delmonte,Ilan Dinstein,Ilan Dinstein,Birgit Ertl-Wagner,Damien A. Fair,Louise Gallagher,Daniel P. Kennedy,Daniel P. Kennedy,Christopher L. Keown,Christian Keysers,Christian Keysers,Janet E. Lainhart,Catherine Lord,Beatriz Luna,Vinod Menon,Nancy J. Minshew,Christopher S. Monk,Sophia Mueller,R-A Müller,Mary Beth Nebel,Joel T. Nigg,Kirsten O'Hearn,Kevin A. Pelphrey,Scott Peltier,Jeffrey D. Rudie,Stefan Sunaert,Mark Thioux,Mark Thioux,J M Tyszka,Lucina Q. Uddin,Judith Verhoeven,Nicole Wenderoth,Jillian Lee Wiggins,Stewart H. Mostofsky,Stewart H. Mostofsky,Michael P. Milham,Michael P. Milham +50 more
TL;DR: W Whole-brain analyses reconciled seemingly disparate themes of both hypo- and hyperconnectivity in the ASD literature; both were detected, although hypoconnectivity dominated, particularly for corticocortical and interhemispheric functional connectivity.
Journal ArticleDOI
A Comprehensive Assessment of Regional Variation in the Impact of Head Micromovements on Functional Connectomics
Chao-Gan Yan,Brian Cheung,Clare Kelly,Stanley J. Colcombe,R. Cameron Craddock,R. Cameron Craddock,Adriana Di Martino,Qingyang Li,Xi-Nian Zuo,F. Xavier Castellanos,F. Xavier Castellanos,Michael P. Milham,Michael P. Milham +12 more
TL;DR: A comprehensive voxel-based examination of the impact of motion on the BOLD signal suggests that positive relationships may reflect neural origins of motion while negative relationships are likely to originate from motion artifact.
Journal ArticleDOI
Competition between functional brain networks mediates behavioral variability.
TL;DR: This work quantified the negative correlation between these two networks in 26 subjects, during active (Eriksen flanker task) and resting state scans, and found that the strength of the correlation between the two networks varies across individuals.
Journal ArticleDOI
The oscillating brain: complex and reliable.
Xi-Nian Zuo,Adriana Di Martino,Clare Kelly,Zarrar Shehzad,Dylan G. Gee,Donald F. Klein,Donald F. Klein,Donald F. Klein,F. Xavier Castellanos,F. Xavier Castellanos,Bharat B. Biswal,Bharat B. Biswal,Michael P. Milham +12 more
TL;DR: The amplitude of spontaneous low-frequency oscillations observed in the human resting brain and the test-retest reliability of relevant amplitude measures are examined to suggest that amplitude measures of LFO can contribute to further between-group characterization of existing and future fMRI datasets.