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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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Frequency drift in MR spectroscopy at 3T

Steve C.N. Hui, +143 more
- 01 Nov 2021 - 
TL;DR: In this paper, the authors compared the frequency drift data from 95 3T MRI scanners and found that the most extreme cases suffered from higher levels of drift, but the extent of drift varied across scanners which both linear and nonlinear drifts were observed.
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Prefrontal inositol levels and implicit decision-making in healthy individuals and depressed patients.

TL;DR: This study suggests a role for the inositol pathway on the implicit learning component of decision-making, without any direct effect on the explicit component, and Hypothesized mechanisms implicate intracellular calcium modulation and subsequent synaptic plasticity.
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Fimbria-Fornix Volume Is Associated With Spatial Memory and Olfactory Identification in Humans

TL;DR: The volume of the right fimbria-fornix and its subdivisions is correlated with both navigational learning and olfactory identification in those who use hippocampus-based spatial memory strategies, and not in thosewho use caudate nucleus-based navigation strategies.
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Association between Brain and Plasma Glutamine Levels in Healthy Young Subjects Investigated by MRS and LC/MS.

TL;DR: The Gln concentrations in PCC (mean of two measurements) were positively correlated with GlN concentrations in plasma (p < 0.01, r = 0.72), however, the Glu concentrations in the two regions were not correlated with those in plasma.
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Comparison of seven modelling algorithms for GABA-edited 1 H-MRS.

TL;DR: The findings highlight the need for consensus on appropriate modelling parameters across different algorithms, and for detailed reporting of the parameters adopted in individual studies to ensure reproducibility and meaningful comparison of outcomes between different studies.