Martin J. McKeown
Martin J. McKeown
Professor of Medicine (Neurology), University of British Columbia
Verified email at
Cited by
Cited by
Removing electroencephalographic artifacts by blind source separation
TP Jung, S Makeig, C Humphries, TW Lee, MJ Mckeown, V Iragui, ...
Psychophysiology 37 (2), 163-178, 2000
Analysis of fMRI data by blind separation into independent spatial components
MJ McKeown, S Makeig, GG Brown, TP Jung, SS Kindermann, AJ Bell, ...
Human brain mapping 6 (3), 160-188, 1998
Imaging brain dynamics using independent component analysis
TP Jung, S Makeig, MJ McKeown, AJ Bell, TW Lee, TJ Sejnowski
Proceedings of the IEEE 89 (7), 1107-1122, 2001
Extended ICA removes artifacts from electroencephalographic recordings
TP Jung, C Humphries, TW Lee, S Makeig, M McKeown, V Iragui, ...
Advances in neural information processing systems 10, 1997
Independent component analysis of fMRI data: examining the assumptions
MJ McKeown, TJ Sejnowski
Human brain mapping 6 (5‐6), 368-372, 1998
Spatially independent activity patterns in functional MRI data during the Stroop color-naming task
MJ McKeown, TP Jung, S Makeig, G Brown, SS Kindermann, TW Lee, ...
Proceedings of the National Academy of Sciences 95 (3), 803-810, 1998
Independent component analysis of functional MRI: what is signal and what is noise?
MJ McKeown, LK Hansen, TJ Sejnowsk
Current opinion in neurobiology 13 (5), 620-629, 2003
Brain activity evoked by the perception of human walking: controlling for meaningful coherent motion
KA Pelphrey, TV Mitchell, MJ McKeown, J Goldstein, T Allison, ...
Journal of Neuroscience 23 (17), 6819-6825, 2003
Polysensory interactions along lateral temporal regions evoked by audiovisual speech
TM Wright, KA Pelphrey, T Allison, MJ McKeown, G McCarthy
Cerebral cortex 13 (10), 1034-1043, 2003
Removing electroencephalographic artifacts: comparison between ICA and PCA
TP Jung, C Humphries, TW Lee, S Makeig, MJ McKeown, V Iragui, ...
Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE …, 1998
Detection of consistently task-related activations in fMRI data with hybrid independent component analysis
MJ McKeown
NeuroImage 11 (1), 24-35, 2000
3D CNN based automatic diagnosis of attention deficit hyperactivity disorder using functional and structural MRI
L Zou, J Zheng, C Miao, MJ Mckeown, ZJ Wang
IEEE Access 5, 23626-23636, 2017
Task specific influences of Parkinson’s disease on the striato-thalamo-cortical and cerebello-thalamo-cortical motor circuitries
MM Lewis, CG Slagle, AB Smith, Y Truong, P Bai, MJ McKeown, ...
Neuroscience 147 (1), 224-235, 2007
Advances in imaging in Parkinson's disease
AJ Stoessl, WRW Martin, MJ McKeown, V Sossi
The Lancet Neurology 10 (11), 987-1001, 2011
Acute and persistent pain modulation of attention-related anterior cingulate fMRI activations
ALH Buffington, CA Hanlon, MJ McKeown
Pain 113 (1-2), 172-184, 2005
Linking hemodynamic and electrophysiological measures of brain activity: evidence from functional MRI and intracranial field potentials
SA Huettel, MJ McKeown, AW Song, S Hart, DD Spencer, T Allison, ...
Cerebral cortex 14 (2), 165-173, 2004
The use of multivariate EMD and CCA for denoising muscle artifacts from few-channel EEG recordings
X Chen, X Xu, A Liu, MJ McKeown, ZJ Wang
IEEE transactions on instrumentation and measurement 67 (2), 359-370, 2017
Joint amplitude and connectivity compensatory mechanisms in Parkinson's disease
SJ Palmer, J Li, ZJ Wang, MJ McKeown
Neuroscience 166 (4), 1110-1118, 2010
Removing muscle artifacts from EEG data: Multichannel or single-channel techniques?
X Chen, A Liu, J Chiang, ZJ Wang, MJ McKeown, RK Ward
IEEE Sensors Journal 16 (7), 1986-1997, 2015
Alpha, theta and alpha-theta coma: a clinical outcome study utilizing serial recordings
GB Young, WT Blume, VM Campbell, JD Demelo, LS Leung, ...
Electroencephalography and clinical Neurophysiology 91 (2), 93-99, 1994
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