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Jamie Near

Researcher at Douglas Mental Health University Institute

Publications -  102
Citations -  3883

Jamie Near is an academic researcher from Douglas Mental Health University Institute. The author has contributed to research in topics: Medicine & Glutamate receptor. The author has an hindex of 28, co-authored 86 publications receiving 2823 citations. Previous affiliations of Jamie Near include University of Oxford & McGill University.

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Journal ArticleDOI

Effects of tissue and gender on macromolecule suppressed gamma-aminobutyric acid

TL;DR: The higher concentration of GABA in GM than in WM found in this study and literature might be reflective of heterogeneous distribution of GABA around the brain.
Posted ContentDOI

StandardRat: A multi-center consensus protocol to enhance functional connectivity specificity in the rat brain

Joanes Grandjean, +208 more
- 28 Apr 2022 - 
TL;DR: StandardRat is introduced, a consensus rat functional MRI acquisition protocol that enhances biologically plausible functional connectivity patterns, relative to pre-existing acquisitions, and is openly shared with the neuroimaging community to promote interoperability and cooperation towards tackling the most important challenges in neuroscience.
Journal ArticleDOI

A consensus protocol for functional connectivity analysis in the rat brain

Joanes Grandjean, +206 more
- 27 Mar 2023 - 
TL;DR: StandardRat as mentioned in this paper is a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers and showed that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions, and is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience.
Journal ArticleDOI

Neurochemical and cognitive changes precede structural abnormalities in the TgF344-AD rat model

TL;DR: Findings support the use of MRI and magnetic resonance spectroscopy for the development of non-invasive biomarkers of disease progression, clarify the timing of pathological feature presentation in this model, and contribute to the validation of the TgF344-AD rat as a highly relevant model for pre-clinical Alzheimer’s disease research.