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

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.

journal_name

Hum Brain Mapp

journal_title

Human brain mapping

authors

Ruzich E,Crespo-García M,Dalal SS,Schneiderman JF

doi

10.1002/hbm.24445

subject

Has Abstract

pub_date

2019-03-01 00:00:00

pages

1353-1375

issue

4

eissn

1065-9471

issn

1097-0193

journal_volume

40

pub_type

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