Evidence map›Paper›PMID 35080692›Full record

ArticleBrain topography2022

Phase-Amplitude Coupling and Phase Synchronization Between Medial Temporal, Frontal and Posterior Brain Regions Support Episodic Autobiographical Memory Recall.

Nicolas Roehri, Lucie Bréchet, Martin Seeber, Alvaro Pascual-Leone, Christoph M Michel

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Brain topography, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05710549 (Understanding Brain Mechanisms Involved in Autobiographical Memory Using High-density Electroencephalography and Transcranial Alternating Current Stimulation), which is not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05710549 narecruitingnot on this map

Understanding Brain Mechanisms Involved in Autobiographical Memory Using High-density Electroencephalography and Transcranial Alternating Current Stimulation

TypeinterventionalSponsorLucie BréchetRan2022 to 2027Enrolled120ConditionsMild Cognitive Impairment, Alzheimer Disease, Memory LossArmshigh-density electroencephalography (hdEEG), Transcranial alternating current stimulation (tACS)
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Common and distinct correlates of construction and elaboration of episodic-autobiographical memory: An ALE meta-analysis.Cortex; a journal devoted to the study of the nervous system and behavior · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 3 countries.

Nicolas Roehri *Functional Brain Mapping Laboratory, Department of Fundamental Neurosciences, Campus Biotech, University of Geneva, 9 chemin des Mines, 1211, Geneva, Switzerland.
Lucie Bréchet *Center for Biomedical Imaging (CIBM), Lausanne and Geneva, 1015, Lausanne, Switzerland.
Martin SeeberFunctional Brain Mapping Laboratory, Department of Fundamental Neurosciences, Campus Biotech, University of Geneva, 9 chemin des Mines, 1211, Geneva, Switzerland.
Alvaro Pascual-LeoneHinda and Arthur Marcus Institute for Aging Research and Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston, MA, USA.
Christoph M MichelFunctional Brain Mapping Laboratory, Department of Fundamental Neurosciences, Campus Biotech, University of Geneva, 9 chemin des Mines, 1211, Geneva, Switzerland. christoph.michel@unige.ch.ORCID 0000-0003-3426-5739
University of Geneva · CHHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Episodic autobiographical memory (EAM) is a complex cognitive function that emerges from the coordination of specific and distant brain regions. Specific brain rhythms, namely theta and gamma oscillations and their synchronization, are thought of as putative mechanisms enabling EAM. Yet, the mechanisms of inter-regional interaction in the EAM network remain unclear in humans at the whole brain level. To investigate this, we analyzed EEG recordings of participants instructed to retrieve autobiographical episodes. EEG recordings were projected in the source space, and time-courses of atlas-based brain regions-of-interest (ROIs) were derived. Directed phase synchrony in high theta (7-10 Hz) and gamma (30-80 Hz) bands and high theta-gamma phase-amplitude coupling were computed between each pair of ROIs. Using network-based statistics, a graph-theory method, we found statistically significant networks for each investigated mechanism. In the gamma band, two sub-networks were found, one between the posterior cingulate cortex (PCC) and the medial temporal lobe (MTL) and another within the medial frontal areas. In the high theta band, we found a PCC to ventromedial prefrontal cortex (vmPFC) network. In phase-amplitude coupling, we found the high theta phase of the left MTL biasing the gamma amplitude of posterior regions and the vmPFC. Other regions of the temporal lobe and the insula were also phase biasing the vmPFC. These findings suggest that EAM, rather than emerging from a single mechanism at a single frequency, involves precise spatio-temporal signatures mapping on distinct memory processes. We propose that the MTL orchestrates activity in vmPFC and PCC via precise phase-amplitude coupling, with vmPFC and PCC interaction via high theta phase synchrony and gamma synchronization contributing to bind information within the PCC-MTL sub-network or valuate the candidate memory within the medial frontal sub-network.

Indexed as

Memory, EpisodicBrainBrain MappingHumansMental RecallPrefrontal CortexTemporal LobeTheta RhythmEEGEpisodic autobiographical memoryNetworkPhase-amplitude couplingPhase synchronization

Identifiers

PMID35080692
PMCPMC8860804
OpenAlexW4221109334

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.