Evidence map›Paper›PMID 37436503›Full record

Trial reportBrain structure & function2023

Modulation of resting-state networks following repetitive transcranial alternating current stimulation of the dorsolateral prefrontal cortex.

Ahsan Khan, Jochen A Mosbacher, Stephan E Vogel, Mira Binder, Michael Wehovz, Arnulf Moshammer, Stefan Halverscheid, Kolja Pustelnik, Michael A Nitsche, Raymond Kai-Yu Tong and 1 more

Open access · hybridAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Brain structure & function, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 14% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Trial
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  4. Medial Prefrontal Cortex Stimulation Reduces Retrieval-Induced Forgetting via Fronto-parietal Beta Desynchronization.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Trial
  5. Review
  6. Article
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

11 authors at 4 institutions in 3 countries.

Ahsan Khan *Educational Neuroscience, Institute of Psychology, University of Graz, Graz, Austria.
Jochen A Mosbacher *Educational Neuroscience, Institute of Psychology, University of Graz, Graz, Austria.
Stephan E VogelEducational Neuroscience, Institute of Psychology, University of Graz, Graz, Austria.
Mira BinderEducational Neuroscience, Institute of Psychology, University of Graz, Graz, Austria.
Michael WehovzEducational Neuroscience, Institute of Psychology, University of Graz, Graz, Austria.
Arnulf MoshammerEducational Neuroscience, Institute of Psychology, University of Graz, Graz, Austria.
Stefan HalverscheidMathematics Institute, University of Göttingen, Göttingen, Germany.
Kolja PustelnikMathematics Institute, University of Göttingen, Göttingen, Germany.
Michael A NitscheDepartment of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.
Raymond Kai-Yu TongBiomedical Engineering Department, The Chinese University of Hong Kong, Hong Kong, China. kytong@cuhk.edu.hk.
Roland H GrabnerEducational Neuroscience, Institute of Psychology, University of Graz, Graz, Austria. roland.grabner@uni-graz.at.
University of Graz · ATChinese University of Hong Kong · HKUniversity of Göttingen · DEEvangelisches Krankenhaus Bielefeld · DE

Funding

Austrian Science Fund P30050-GBL
6 · The paper itself

Abstract

Transcranial alternating current stimulation (tACS) offers a unique method to temporarily manipulate the activity of the stimulated brain region in a frequency-dependent manner. However, it is not clear if repetitive modulation of ongoing oscillatory activity with tACS over multiple days can induce changes in grey matter resting-state functional connectivity and white matter structural integrity. The current study addresses this question by applying multiple-session theta band stimulation on the left dorsolateral prefrontal cortex (L-DLPFC) during arithmetic training. Fifty healthy participants (25 males and 25 females) were randomly assigned to the experimental and sham groups, half of the participants received individually adjusted theta band tACS, and half received sham stimulation. Resting-state functional magnetic resonance (rs-fMRI) and diffusion-weighted imaging (DWI) data were collected before and after 3 days of tACS-supported procedural learning training. Resting-state network analysis showed a significant increase in connectivity for the frontoparietal network (FPN) with the precuneus cortex. Seed-based analysis with a seed defined at the primary stimulation site showed an increase in connectivity with the precuneus cortex, posterior cingulate cortex (PCC), and lateral occipital cortex. There were no effects on the structural integrity of white matter tracts as measured by fractional anisotropy, and on behavioral measures. In conclusion, the study suggests that multi-session task-associated tACS can produce significant changes in resting-state functional connectivity; however, changes in functional connectivity do not necessarily translate to changes in white matter structure or behavioral performance.

Indexed as

Transcranial Direct Current StimulationBrainDorsolateral Prefrontal CortexFemaleHumansMagnetic Resonance ImagingMalePrefrontal CortexTranscranial Magnetic StimulationDorsolateral prefrontal cortex (DLPFC)Frontoparietal networkFunctional connectivityFunctional magnetic resonance imaging (fMRI)Transcranial alternating current stimulation (tACS)

Identifiers

PMID37436503
PMCPMC10471656
OpenAlexW4383999416

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.