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Mary Pat McAndrews

Researcher at University Health Network

Publications -  166
Citations -  10106

Mary Pat McAndrews is an academic researcher from University Health Network. The author has contributed to research in topics: Temporal lobe & Episodic memory. The author has an hindex of 52, co-authored 156 publications receiving 8989 citations. Previous affiliations of Mary Pat McAndrews include Montreal Neurological Institute and Hospital & University of Toronto.

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Functional neuroanatomy of remote episodic, semantic and spatial memory: a unified account based on multiple trace theory

TL;DR: The evidence suggests strongly that the function of the hippocampus (and possibly that of related limbic structures) is to help encode, retain, and retrieve experiences, no matter how long ago the events comprising the experience occurred, and no matter whether the memories are episodic or spatial.
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A phase I trial of deep brain stimulation of memory circuits in Alzheimer's disease

TL;DR: It is hypothesized that fornix/hypothalamus deep brain stimulation (DBS) could modulate neurophysiological activity in these pathological circuits and possibly produce clinical benefits in Alzheimer's disease.
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Memory enhancement induced by hypothalamic/fornix deep brain stimulation.

TL;DR: Electroencephalographic source localization showed that hypothalamic deep brain stimulation drove activity in mesial temporal lobe structures, which shows that hypothalamus stimulation in this patient modulates limbic activity and improves certain memory functions.
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Recollective qualities modulate hippocampal activation during autobiographical memory retrieval.

TL;DR: Reclective qualities are important predictors of hippocampal engagement during AM retrieval independent of factors such as recency, which are consistent with theories of hippocampusal function that emphasize its role in the recollection of multifaceted autobiographical experiences.
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Characterizing spatial and temporal features of autobiographical memory retrieval networks: a partial least squares approach

TL;DR: A multivariate image analysis technique, spatiotemporal partial least squares (PLS), is used to identify distributed patterns of activity most related to AM tasks that are found to be associated with a medial and left-lateralized network, indicating that some aspects of the memory retrieval network are shared by these memories.