Imaging human engrams using 7 Tesla magnetic resonance imaging

Willems, Tom; Henke, Katharina (2021). Imaging human engrams using 7 Tesla magnetic resonance imaging. Hippocampus, 31(12), pp. 1257-1270. Wiley-Liss 10.1002/hipo.23391

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The investigation of the physical traces of memories (engrams) has made significant progress in the last decade due to optogenetics and fluorescent cell tagging applied in rodents. Engram cells were identified. The ablation of engram cells led to the loss of the associated memory, silent memories were reactivated, and artificial memories were implanted in the brain. Human engram research lags behind engram research in rodents due to methodological and ethical constraints. However, advances in multivariate analysis techniques of functional magnetic resonance imaging (fMRI) data and machine learning algorithms allowed the identification of stable engram patterns in humans. In addition, MRI scanners with an ultrahigh field strength of 7 Tesla (T) have left their prototype state and became more common around the world to assist human engram research. Although most engram research in humans is still being performed with a field strength of 3T, fMRI at 7T will push engram research. Here, we summarize the current state and findings of human engram research and discuss the advantages and disadvantages of applying 7 versus 3T fMRI to image human memory traces.

Item Type:

Journal Article (Review Article)

Division/Institute:

07 Faculty of Human Sciences > Institute of Psychology > Weitere Forschungsgruppen
07 Faculty of Human Sciences > Institute of Psychology

UniBE Contributor:

Willems, Tom Eric, Henke, Katharina

Subjects:

100 Philosophy > 150 Psychology
500 Science > 570 Life sciences; biology

ISSN:

1050-9631

Publisher:

Wiley-Liss

Language:

English

Submitter:

Tom Eric Willems

Date Deposited:

12 Jan 2022 11:35

Last Modified:

05 Dec 2022 15:56

Publisher DOI:

10.1002/hipo.23391

PubMed ID:

34739173

BORIS DOI:

10.48350/162226

URI:

https://boris.unibe.ch/id/eprint/162226

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