Mark A. Halko, Ph.D.
Affiliations: | 2008 | Boston University, Boston, MA, United States |
Area:
fMRI, Visual Attention, Visual Perception, Cortical Circuit Models, OscillationsGoogle:
"Mark Halko"Mean distance: 14.24 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| David C. Somers | grad student | 2008 | Boston University | |
| (Illusory contour and surface completion mechanisms in human visual cortex.) | ||||
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Publications
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| Lo OY, Halko MA, Devaney KJ, et al. (2021) Gait variability is associated with the strength of functional connectivity between the default and dorsal attention brain networks: evidence from multiple cohorts. The Journals of Gerontology. Series a, Biological Sciences and Medical Sciences |
| Brissenden JA, Tobyne SM, Halko MA, et al. (2020) Stimulus-Specific Visual Working Memory Representations in Human Cerebellar Lobule VIIb/VIIIa. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Ozdemir RA, Tadayon E, Boucher P, et al. (2020) Individualized perturbation of the human connectome reveals reproducible biomarkers of network dynamics relevant to cognition. Proceedings of the National Academy of Sciences of the United States of America |
| Zhou J, Lo OY, Halko MA, et al. (2020) The functional implications and modifiability of resting-state brain network complexity in older adults. Neuroscience Letters. 134775 |
| Brady R, Beermann A, Nawaz U, et al. (2020) Cerebellar-Cortical Disconnectivity Causes Cognitive Dysfunction in Psychotic Disorders Biological Psychiatry. 87: S11 |
| Schmahmann JD, Guell X, Stoodley CJ, et al. (2019) The Theory and Neuroscience of Cerebellar Cognition. Annual Review of Neuroscience |
| Nawaz U, Lee I, Ling G, et al. (2019) O31. The Impact of Network Topology on Individual Differences in Cognition and Symptomatology Biological Psychiatry. 85 |
| Brissenden JA, Tobyne SM, Osher DE, et al. (2018) Topographic Cortico-cerebellar Networks Revealed by Visual Attention and Working Memory. Current Biology : Cb |
| Lo O, Halko M, Zhou J, et al. (2018) GAIT VARIABILITY CORRELATES WITH RESTING-STATE BRAIN NETWORK CONNECTIVITY IN AGING AND DISEASE Innovation in Aging. 2: 518-518 |
| Lo OY, Halko MA, Zhou J, et al. (2017) Gait Speed and Gait Variability Are Associated with Different Functional Brain Networks. Frontiers in Aging Neuroscience. 9: 390 |