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Anthony R. McIntosh
Researcher at University of Toronto
Publications - 345
Citations - 37904
Anthony R. McIntosh is an academic researcher from University of Toronto. The author has contributed to research in topics: Cognition & Prefrontal cortex. The author has an hindex of 97, co-authored 334 publications receiving 34111 citations. Previous affiliations of Anthony R. McIntosh include University of Calgary & French Institute of Health and Medical Research.
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Aging gracefully: compensatory brain activity in high-performing older adults.
TL;DR: The results suggest that low- performing older adults recruited a similar network as young adults but used it inefficiently, whereas high-performing older adults counteracted age-related neural decline through a plastic reorganization of neurocognitive networks.
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Emerging concepts for the dynamical organization of resting-state activity in the brain
TL;DR: Three large-scale neural system models of primate neocortex that emphasize the key contributions of local dynamics, signal transmission delays and noise to the emerging RSNs are reviewed.
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Spatial pattern analysis of functional brain images using partial least squares.
TL;DR: Partial least squares serves as an important extension by extracting new information from imaging data that is not accessible through other currently used univariate and multivariate image analysis tools.
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Partial Least Squares (PLS) methods for neuroimaging: a tutorial and review.
TL;DR: For both PLS methods, statistical inferences are implemented using cross-validation techniques to identify significant patterns of voxel activation and are presented with small numerical examples and typical applications in neuroimaging.
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Partial least squares analysis of neuroimaging data: applications and advances
TL;DR: This paper reviews the more recent extension of PLS to the analysis of spatiotemporal patterns present in fMRI, ERP, and MEG data and discusses its role as an important tool in a pluralistic analytic approach to neuroimaging.