Evidence map›Paper›PMID 39944889›Full record

ArticleFrontiers in neuroscience2025

Optimization of TMS target engagement: current state and future perspectives.

Pantelis Lioumis, Timo Roine, Ida Granö, Dogu Baran Aydogan, Elena Ukharova, Victor H Souza, Dubravko Kičić, Risto J Ilmoniemi, Nikos Makris

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Clinical utility and prospective of TMS-EEG: Updated review from an international expert group.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Review
  6. Article
  7. Review
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

9 authors.

Pantelis LioumisDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.
Timo RoineDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.
Ida GranöDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.
Dogu Baran AydoganDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.
Elena UkharovaDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.
Victor H SouzaDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.
Dubravko KičićDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.
Risto J Ilmoniemi *Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.
Nikos Makris *Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Neuromodulation is based on the principle that brain stimulation produces plastic changes in cerebral circuitry. Given the intersubject structural and functional variability, neuromodulation has a personalized effect in the brain. Moreover, because of cerebral dominance and interhemispheric functional and structural differences in the same individual, the characterization of specific brain circuitries involved is currently not feasible. This notion is extremely important for neuromodulation treatments applied in neuropsychiatry. Specifically, the efficacy of the neuromodulation treatments is critically dependent on the anatomical precision of the brain target and the circuitry which has been affected by the TMS intervention. Furthermore, for a complete understanding of how the brain behaves under stimulation, the characterization of its neurophysiological response is necessary as well. This goal can be achieved with TMS-EEG guided by current multimodal neuroimaging techniques in real time, namely MRI-based anatomical segmentation and diffusion MRI-based tractographic analysis.

Indexed as

dMRI (diffusion magnetic resonance imaging)neurophysiological signatures of brain circuitsstructural connectivitytarget engagementTMS–EEG

Identifiers

PMID39944889
PMCPMC11814169

What OpenQuestion holds

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LicenceCC BY
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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.