Literature DB >> 27208861

Pre-stimulus thalamic theta power predicts human memory formation.

Catherine M Sweeney-Reed1, Tino Zaehle2, Jürgen Voges3, Friedhelm C Schmitt4, Lars Buentjen5, Klaus Kopitzki6, Alan Richardson-Klavehn7, Hermann Hinrichs8, Hans-Jochen Heinze9, Robert T Knight10, Michael D Rugg11.   

Abstract

Pre-stimulus theta (4-8Hz) power in the hippocampus and neocortex predicts whether a memory for a subsequent event will be formed. Anatomical studies reveal thalamus-hippocampal connectivity, and lesion, neuroimaging, and electrophysiological studies show that memory processing involves the dorsomedial (DMTN) and anterior thalamic nuclei (ATN). The small size and deep location of these nuclei have limited real-time study of their activity, however, and it is unknown whether pre-stimulus theta power predictive of successful memory formation is also found in these subcortical structures. We recorded human electrophysiological data from the DMTN and ATN of 7 patients receiving deep brain stimulation for refractory epilepsy. We found that greater pre-stimulus theta power in the right DMTN was associated with successful memory encoding, predicting both behavioral outcome and post-stimulus correlates of successful memory formation. In particular, significant correlations were observed between right DMTN theta power and both frontal theta and right ATN gamma (32-50Hz) phase alignment, and frontal-ATN theta-gamma cross-frequency coupling. We draw the following primary conclusions. Our results provide direct electrophysiological evidence in humans of a role for the DMTN as well as the ATN in memory formation. Furthermore, prediction of subsequent memory performance by pre-stimulus thalamic oscillations provides evidence that post-stimulus differences in thalamic activity that index successful and unsuccessful encoding reflect brain processes specifically underpinning memory formation. Finally, the findings broaden the understanding of brain states that facilitate memory encoding to include subcortical as well as cortical structures.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anterior thalamic nucleus; Dorsomedial thalamic nucleus; Encoding; Memory; Pre-stimulus theta; Thalamus

Mesh:

Year:  2016        PMID: 27208861     DOI: 10.1016/j.neuroimage.2016.05.042

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  14 in total

1.  Thalamic interictal epileptiform discharges in deep brain stimulated epilepsy patients.

Authors:  Catherine M Sweeney-Reed; Harim Lee; Stefan Rampp; Tino Zaehle; Lars Buentjen; Juergen Voges; Martin Holtkamp; Hermann Hinrichs; Hans-Jochen Heinze; Friedhelm C Schmitt
Journal:  J Neurol       Date:  2016-08-02       Impact factor: 4.849

2.  Predictive processing models and affective neuroscience.

Authors:  Kent M Lee; Fernando Ferreira-Santos; Ajay B Satpute
Journal:  Neurosci Biobehav Rev       Date:  2021-09-10       Impact factor: 9.052

3.  Rhythmic interactions between the mediodorsal thalamus and prefrontal cortex precede human visual perception.

Authors:  Benjamin J Griffiths; Tino Zaehle; Stefan Repplinger; Friedhelm C Schmitt; Jürgen Voges; Simon Hanslmayr; Tobias Staudigl
Journal:  Nat Commun       Date:  2022-06-29       Impact factor: 17.694

4.  Effects of Age on Prestimulus Neural Activity Predictive of Successful Memory Encoding: An fMRI Study.

Authors:  E Song Liu; Joshua D Koen; Michael D Rugg
Journal:  Cereb Cortex       Date:  2021-01-05       Impact factor: 5.357

Review 5.  Time to put the mammillothalamic pathway into context.

Authors:  Christopher M Dillingham; Michal M Milczarek; James C Perry; Seralynne D Vann
Journal:  Neurosci Biobehav Rev       Date:  2020-12-09       Impact factor: 8.989

6.  Anterior Thalamic High Frequency Band Activity Is Coupled with Theta Oscillations at Rest.

Authors:  Catherine M Sweeney-Reed; Tino Zaehle; Jürgen Voges; Friedhelm C Schmitt; Lars Buentjen; Viola Borchardt; Martin Walter; Hermann Hinrichs; Hans-Jochen Heinze; Michael D Rugg; Robert T Knight
Journal:  Front Hum Neurosci       Date:  2017-07-20       Impact factor: 3.169

7.  Music training is associated with cortical synchronization reflected in EEG coherence during verbal memory encoding.

Authors:  Mei-Chun Cheung; Agnes S Chan; Ying Liu; Derry Law; Christina W Y Wong
Journal:  PLoS One       Date:  2017-03-30       Impact factor: 3.240

8.  Neural measures of subsequent memory reflect endogenous variability in cognitive function.

Authors:  Christoph T Weidemann; Michael J Kahana
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2020-11-05       Impact factor: 3.051

Review 9.  Insights into human cognition from intracranial EEG: A review of audition, memory, internal cognition, and causality.

Authors:  Elizabeth L Johnson; Julia W Y Kam; Athina Tzovara; Robert T Knight
Journal:  J Neural Eng       Date:  2020-10-08       Impact factor: 5.043

10.  Clinical, neuropsychological, and pre-stimulus dorsomedial thalamic nucleus electrophysiological data in deep brain stimulation patients.

Authors:  Catherine M Sweeney-Reed; Tino Zaehle; Jürgen Voges; Friedhelm C Schmitt; Lars Buentjen; Klaus Kopitzki; Alan Richardson-Klavehn; Hermann Hinrichs; Hans-Jochen Heinze; Robert T Knight; Michael D Rugg
Journal:  Data Brief       Date:  2016-06-15
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