Evidence map›Paper›PMID 41743443›Full record

ArticleFrontiers in psychology2026

Gamma transcranial alternating current stimulation increases segregation in the sensorimotor network.

Antonio Cataneo, Marco Marino, Nicoletta Manzo, Cristina Scarpazza, Giorgio Arcara, Daniela Mapelli, Fabio Masina

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Antonio Cataneo *Department of General Psychology, University of Padova, Padova, Italy.
Marco Marino *Department of General Psychology, University of Padova, Padova, Italy.
Nicoletta ManzoIRCCS San Camillo Hospital, Venice, Italy.
Cristina ScarpazzaDepartment of General Psychology, University of Padova, Padova, Italy.
Giorgio ArcaraDepartment of General Psychology, University of Padova, Padova, Italy.
Daniela MapelliDepartment of General Psychology, University of Padova, Padova, Italy.
Fabio MasinaDepartment of General Psychology, University of Padova, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Transcranial alternating current stimulation (tACS) has emerged as a promising tool to modulate brain dynamics, especially in the context of motor recovery in clinical populations. Yet, its network-level effects on the sensorimotor (SM) functional organization have only been partially explored. In this study, we investigated whether gamma-frequency tACS can modulate functional connectivity and enhance segregation within the SM network, which is an index typically associated with better motor performance. Methods: In a within-subject, sham-controlled design, EEG was recorded before and after gamma tACS in 34 healthy subjects. Functional connectivity was quantified across three SM sub-networks, according to Yeo's parcelation, in five frequency bands, including delta, theta, alpha, beta, and gamma, using intra- and inter-network connectivity (IntraNC and InterNC, respectively) measures. ANCOVA tests were performed on IntraNC and InterNC values for each frequency band, to compare the sham and real condition at post p-stimulation hase. The connectivity values of the pre-stimulation phase were used as a covariate, to account for state-dependent effects. Results: We did not find a significant interaction with time and condition. However, Discussion: Albeit we did not find significant interactions of time and stimulation condition, additional analyses showed that gamma tACS might selectively modulate oscillatory dynamics within SM sub-networks, enhancing functional segregation in a frequency-specific manner. Given the roles of alpha/beta in sensorimotor integration and gamma in local processing, these effects might reflect more efficient neural communication. Our results support the potential of tACS as a neuromodulatory intervention to target dysfunctional network interactions in clinical populations.

Indexed as

brain oscillationsEEGgamma oscillationsnetwork connectivitysensorimotor networktACS

Identifiers

PMID41743443
PMCPMC12929117

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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.