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Human Brain Mapping|January 18, 2005
Variability in fMRI: a re-examination of inter-session differencesStephen M Smith, Christian F Beckmann, Narender Ramnani, et al.Neuroimage|November 30, 2016
Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome ProjectAn T Vu, Keith Jamison, Matthew F Glasser, et al.Communications Biology|March 9, 2021
Brain pathology recapitulates physiology: A network meta-analysisThomas J Vanasse, Peter T Fox, P Mickle Fox, et al.The Journal of Orthopaedic and Sports Physical Therapy|May 2, 2007
Sensitivity and specificity of the blankenship FCE system's indicators of submaximal effortPerry N Brubaker, Frank J Fearon, Stephen M Smith, et al.Neuroimage|June 6, 2020
Confound modelling in UK Biobank brain imagingFidel Alfaro-Almagro, Paul McCarthy, Soroosh Afyouni, et al.Neuroimage|April 7, 2018
Directed functional connectivity using dynamic graphical modelsSimon Schwab, Ruth Harbord, Valerio Zerbi, et al.Brain : a Journal of Neurology|April 2, 2010
Resting state networks change in clinically isolated syndromeStefan D Roosendaal, Menno M Schoonheim, Hanneke E Hulst, et al.Human Brain Mapping|April 2, 2011
Spontaneous blood oxygenation level-dependent fMRI signal is modulated by behavioral state and correlates with evoked response in sensorimotor cortex: a 7.0-T fMRI studyManus J Donahue, Hans Hoogduin, Stephen M Smith, et al.Neuroimage|July 4, 2012
Benefits of multi-modal fusion analysis on a large-scale dataset: life-span patterns of inter-subject variability in cortical morphometry and white matter microstructureAdrian R Groves, Stephen M Smith, Anders M Fjell, et al.Neuroimage|September 7, 2010
Network modelling methods for FMRIStephen M Smith, Karla L Miller, Gholamreza Salimi-Khorshidi, et al.Pageof 33