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Kelly O'Keefe

Researcher at Brigham and Women's Hospital

Publications -  12
Citations -  2099

Kelly O'Keefe is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Default mode network & Episodic memory. The author has an hindex of 11, co-authored 12 publications receiving 1876 citations. Previous affiliations of Kelly O'Keefe include Harvard University.

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Amyloid deposition is associated with impaired default network function in older persons without dementia

TL;DR: It is demonstrated that high levels of amyloid deposition are associated with aberrant default network functional magnetic resonance imaging (fMRI) activity in asymptomatic and minimally impaired older individuals, similar to the pattern of dysfunction reported in AD patients.
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Longitudinal fMRI in elderly reveals loss of hippocampal activation with clinical decline

TL;DR: Longitudinal fMRI provides a reliable indicator of brain activation over time, and may prove useful in identifying functional brain changes associated with cognitive decline on the trajectory toward clinical Alzheimer disease.
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Intrinsic connectivity between the hippocampus and posteromedial cortex predicts memory performance in cognitively intact older individuals.

TL;DR: These findings provide support for the hypothesis that one of the functions of this large-scale brain network is to subserve episodic memory processes, and further confirmed the spatial specificity of the relationship between hippocampal-default network posteromedial cortical connectivity and memory performance in older subjects.
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Hippocampal hyperactivation associated with cortical thinning in Alzheimer's disease signature regions in non-demented elderly adults.

TL;DR: The hypothesis that paradoxically increased hippocampal activity may be an early indicator of AD-related neurodegeneration in a distributed network of brain regions supporting memory and other cognitive domains is supported.
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Innovative research methods for studying treatments for rare diseases: methodological review

TL;DR: Though numerous studies apply unique clinical trial designs and considerations to assess patient health outcomes in rare diseases, less attention has been paid to innovative methods for studying rare diseases using observational data.