Evidence map›Paper›PMID 42459504›Full record

ArticleBrain communications2026

Interhemispheric connectivity measured with transcranial magnetic stimulation and EEG as an objective marker of cognitive risk.

Noa Zifman, Hilla Fogel, Riki Rosenberg, Ofri Levy-Lamdan, Nastya Verhovski, Tzipora Strauss, Evelyne Bischof, Abigail Goshen

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Noa ZifmanClinical Research Department, QuantalX Neuroscience Ltd, Kfar-Saba 4453001, Israel.ORCID https://orcid.org/0000-0001-8470-9057
Hilla FogelClinical Research Department, QuantalX Neuroscience Ltd, Kfar-Saba 4453001, Israel.
Riki RosenbergSheba Longevity Center, Sheba Medical Center, Ramat-Gan 52621, Israel.
Ofri Levy-LamdanClinical Research Department, QuantalX Neuroscience Ltd, Kfar-Saba 4453001, Israel.
Nastya VerhovskiClinical Research Department, QuantalX Neuroscience Ltd, Kfar-Saba 4453001, Israel.
Tzipora StraussSheba Longevity Center, Sheba Medical Center, Ramat-Gan 52621, Israel.
Evelyne BischofSheba Longevity Center, Sheba Medical Center, Ramat-Gan 52621, Israel.
Abigail GoshenSheba Longevity Center, Sheba Medical Center, Ramat-Gan 52621, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive impairment is a common complaint in older adults, yet its evaluation relies largely on subjective reports and cognitive tests with variable sensitivity. Identifying objective neurophysiological markers of brain function may enable earlier detection and more individualized intervention strategies. A total of 454 participants (mean age 61.4 ± 7.5 years; 45.3% females) underwent bilateral dorsolateral prefrontal cortex (DLPFC) transcranial magnetic stimulation (TMS)-EEG with the Delphi-MD system, alongside cognitive testing (Monreal Cognitive Assessment [MoCA] and NeuroTrax domains: memory, attention and executive function) and emotional inventories. Linear regression tested demographic and clinical predictors of cognition. K-means clustering identified cognitive subgroups, with between-cluster interhemispheric connectivity (IHC) differences assessed by Mann-Whitney U-tests. Binary logistic regression with 5000 bootstrap resamples evaluated IHC as a predictor of cognitive cluster membership. Older age was associated with lower MoCA (worse) (

Indexed as

cognitive impairmentinterhemispheric connectivitytranscranial magnetic stimulation evoked potentials

Identifiers

PMID42459504
PMCPMC13372024

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Registered trials

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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.