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Characterizing hippocampal dynamics with MEG: A systematic review and evidence-based guidelines

Journal article
Authors Emily Ruzich
M. Crespo-Garcia
S. S. Dalal
Justin F. Schneiderman
Published in Human Brain Mapping
Volume 40
Issue 4
Pages 1353-1375
ISSN 1065-9471
Publication year 2019
Published at Institute of Neuroscience and Physiology, Department of Clinical Neuroscience
Pages 1353-1375
Language en
Links dx.doi.org/10.1002/hbm.24445
Keywords beamforming, deep sources, deep structures, hippocampus, magnetoencephalography, MEG, neural, medial temporal-lobe, theta oscillations, spatial navigation, source, localization, clinical-yield, functional mri, gamma activity, bold fmri, memory, magnetoencephalography
Subject categories Neurosciences

Abstract

The hippocampus, a hub of activity for a variety of important cognitive processes, is a target of increasing interest for researchers and clinicians. Magnetoencephalography (MEG) is an attractive technique for imaging spectro-temporal aspects of function, for example, neural oscillations and network timing, especially in shallow cortical structures. However, the decrease in MEG signal-to-noise ratio as a function of source depth implies that the utility of MEG for investigations of deeper brain structures, including the hippocampus, is less clear. To determine whether MEG can be used to detect and localize activity from the hippocampus, we executed a systematic review of the existing literature and found successful detection of oscillatory neural activity originating in the hippocampus with MEG. Prerequisites are the use of established experimental paradigms, adequate coregistration, forward modeling, analysis methods, optimization of signal-to-noise ratios, and protocol trial designs that maximize contrast for hippocampal activity while minimizing those from other brain regions. While localizing activity to specific sub-structures within the hippocampus has not been achieved, we provide recommendations for improving the reliability of such endeavors.

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Denna text är utskriven från följande webbsida:
http://www.gu.se/english/research/publication/?publicationId=278830
Utskriftsdatum: 2019-09-19