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Reproducibility of Neurochemical Profile Quantification in Pregenual Cingulate, Anterior Midcingulate, and Bilateral Posterior Insular Subdivisions Measured at 3 Tesla

Overview of attention for article published in Frontiers in Human Neuroscience, June 2016
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Title
Reproducibility of Neurochemical Profile Quantification in Pregenual Cingulate, Anterior Midcingulate, and Bilateral Posterior Insular Subdivisions Measured at 3 Tesla
Published in
Frontiers in Human Neuroscience, June 2016
DOI 10.3389/fnhum.2016.00300
Pubmed ID
Authors

Nuno M. P. de Matos, Lukas Meier, Michael Wyss, Dieter Meier, Andreas Gutzeit, Dominik A. Ettlin, Mike Brügger

Abstract

The current report assessed measurement reproducibility of proton magnetic resonance spectroscopy at 3 Tesla in the left and right posterior insular, pregenual anterior cingulate, and anterior midcingulate cortices. Ten healthy male volunteers aged 21-30 years were tested at four different days, of which nine were included in the data analysis. Intra- and inter-subject variability of myo-inositol, creatine, glutamate, total-choline, total-N-acetylaspartate, and combined glutamine-glutamate were calculated considering the influence of movement parameters, age, daytime of measurements, and tissue composition. Overall mean intra-/inter-subject variability for all neurochemicals combined revealed small mean coefficients of variation across the four regions: 5.3/9.05% in anterior midcingulate, 6.6/8.84% in pregenual anterior cingulate, 7.3/10.00% in left posterior and 8.2/10.55% in right posterior insula. Head movement, tissue composition and day time revealed no significant explanatory variance contribution suggesting a negligible influence on the data. A strong correlation between Cramer-Rao Lower Bounds (a measure of fitting errors) and the mean intra-subject coefficients of variation (r = 0.799, p < 0.001) outlined the importance of low fitting errors in order to obtain robust and finally meaningful measurements. The present findings confirm proton magnetic resonance spectroscopy as a reliable tool to measure brain neurochemistry in small subregions of the human brain.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 7%
Germany 1 7%
Unknown 12 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 29%
Student > Ph. D. Student 3 21%
Professor > Associate Professor 2 14%
Unspecified 1 7%
Student > Bachelor 1 7%
Other 1 7%
Unknown 2 14%
Readers by discipline Count As %
Psychology 3 21%
Physics and Astronomy 2 14%
Medicine and Dentistry 2 14%
Computer Science 1 7%
Unspecified 1 7%
Other 2 14%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 June 2016.
All research outputs
#15,376,252
of 22,875,477 outputs
Outputs from Frontiers in Human Neuroscience
#5,277
of 7,168 outputs
Outputs of similar age
#223,362
of 353,103 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#156
of 192 outputs
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