• Medientyp: E-Artikel
  • Titel: Imaging human engrams using 7 Tesla magnetic resonance imaging
  • Beteiligte: Willems, Tom; Henke, Katharina
  • Erschienen: Wiley, 2021
  • Erschienen in: Hippocampus
  • Sprache: Englisch
  • DOI: 10.1002/hipo.23391
  • ISSN: 1050-9631; 1098-1063
  • Schlagwörter: Cognitive Neuroscience
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>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.</jats:p>