Evidence map›Paper›PMID 41971354›Full record

ArticleFrontiers in human neuroscience2026

Spatially resolved EEG reveals theta-band network modulation following iTBS in aging and mild cognitive impairment.

Lawrence R Frank, Vitaly L Galinsky, Hangbin Zhang, John D Hall, Mark W Bondi, Ying-Hui Chou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in human neuroscience, 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

6 authors.

Lawrence R FrankCenter for Scientific Computation in Imaging, University of California at San Diego, La Jolla, CA, United States.
Vitaly L GalinskyCenter for Scientific Computation in Imaging, University of California at San Diego, La Jolla, CA, United States.
Hangbin ZhangBrain Imaging and Transcranial Magnetic Stimulation Laboratory, University of Arizona, Tucson, AZ, United States.
John D HallBrain Imaging and Transcranial Magnetic Stimulation Laboratory, University of Arizona, Tucson, AZ, United States.
Mark W BondiDepartment of Psychiatry, University of California at San Diego, La Jolla, CA, United States.
Ying-Hui ChouBrain Imaging and Transcranial Magnetic Stimulation Laboratory, University of Arizona, Tucson, AZ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuromodulation shows promise as a general strategy for non-pharmacological intervention in a range of psychiatric and neurodegenerative brain disorders. Two major challenges in making neuromodulation methods clinically viable are (1) Assessing brain network changes induced by the stimulation, and (2) Optimizing stimulation protocols by adjusting the locations and spectral content of the stimulation. Spatially resolved electroencephalography (EEG) provides solutions to both by characterizing whole brain frequency-dependent

Indexed as

brain networksbrain physicsbrain waveselectroencephalographymild cognitive impairment (MCI)neuroimagingtranscranial magnetic stimulation (TMS)

Identifiers

PMID41971354
PMCPMC13061872

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.