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

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    Emily Ruzich, Department of Clinical Neurophysiology and MedTech West, Institute of Neuroscience and Physiology, Sahlgrenska Academy & the University of Gothenburg, Gothenburg, Sweden., Maité Crespo-García, Department of Psychology, University of Cambridge Cambridge, UK ; MRC Cognition and Brain Sciences Unit Cambridge, UK.,
  • Sarang S Dalal
  • Justin F Schneiderman, Department of Clinical Neurophysiology and MedTech West, Institute of Neuroscience and Physiology, Sahlgrenska Academy & the University of Gothenburg, Gothenburg, Sweden.
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.
Original languageEnglish
JournalHuman Brain Mapping
Volume40
Issue number4
Pages (from-to)1353-1375
Number of pages23
ISSN1065-9471
DOIs
Publication statusPublished - 2019

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