Evidence map›Paper›PMID 41676554›Full record

ArticlebioRxiv : the preprint server for biology2026

Distinct cortical excitability and connectivity profiles within the human SMA complex.

Francesco Lomi, Ali Jafarov, Fiammetta Iannuzzo, Timo Roine, Ida Granö, Juha Gogulski, Dogu Baran Aydogan, Ilkka Laakso, Mario Rosanova, Simone Rossi and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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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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

13 authors.

Francesco LomiDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.ORCID 0009-0000-8447-0154
Ali JafarovDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.ORCID 0009-0001-7705-7668
Fiammetta IannuzzoDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.ORCID 0000-0002-8576-6560
Timo RoineDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.ORCID 0000-0002-3104-9734
Ida GranöDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.ORCID 0000-0003-4646-0419
Juha GogulskiDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.ORCID 0000-0001-7179-7828
Dogu Baran AydoganA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland.ORCID 0000-0002-7840-3294
Ilkka LaaksoDepartment of Electrical Engineering and Automation, Aalto University School of Electrical Engineering, Espoo, Finland.ORCID 0000-0002-8162-1356
Mario RosanovaDepartment of Biomedical and Clinical Sciences, University of Milan, Italy.ORCID 0000-0002-9107-4472
Simone RossiSiena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Department of Medicine, Surgery and Neuroscience, Unit of Neurology, University of Siena, Italy.ORCID 0000-0001-7974-1175
Nikos MakrisDepartments of Psychiatry and Neurology, A. Martinos Center for Biomedical Imaging, Center for Morphometric Analysis, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Risto J IlmoniemiDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.ORCID 0000-0002-3340-2618
Pantelis LioumisDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.ORCID 0000-0003-2016-9199

Funding

Neural substrates of diffusion imaging in cognitively aging rhesus monkeysR01AG042512 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI KUBICKI, MAREK, MAKRIS, NIKOLAOS · 2013 to 2023
$6.5M
Mapping the superficial white matter connectome of the human brain using ultra high resolution multi-contrast diffusion MRIR01MH125860 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI MAKRIS, NIKOLAOS, O'DONNELL, LAUREN JEAN · 2021 to 2025
$4.1M
High Resolution, Comprehensive Atlases of the Human Brain MorphologyR01MH112748 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI BOUIX, SYLVAIN, KUBICKI, MAREK · 2018 to 2022
$4.1M
Unraveling the Superficial White Matter of the Primate Brain: Tracer-Based Histology and dMRI Tractography ValidationR01NS125307 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI NIKOLAOS MAKRIS, RICHARD Jarrett RUSHMORE · 2022 to 2026
$3.4M
Mapping of the intrinsic and extrinsic cerebellar connectome at ultra high resolution with expert neuroanatomical curationR01MH132610 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI MAKRIS, NIKOLAOS, O'DONNELL, LAUREN JEAN · 2023 to 2025
$2.6M
Mentoring and neuroimaging research on new targets for DBS in OCDK24MH116366 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI MAKRIS, NIKOLAOS · 2018 to 2022
$817k
Elucidating the Three-Dimensional Organization of the Human Cerebellar Cortex Using Histological and Ultra-High Resolution Structural MRI ApproachesR21NS136960 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MAKRIS, NIKOLAOS, RUSHMORE, RICHARD JARRETT · 2024 to 2025
$472k
NIA NIH HHS R01 AG042512NIMH NIH HHS K24 MH116366NIMH NIH HHS R01 MH112748NIMH NIH HHS R01 MH125860NIMH NIH HHS R01 MH132610NINDS NIH HHS R01 NS125307NINDS NIH HHS R21 NS136960Wellcome Trust
6 · The paper itself

Abstract

Introduction and aim: Understanding brain functions increasingly relies on a network-based perspective, emphasizing interactions across distributed regions. High-order cognitive functions, like language and executive processes, engage such networks rather than isolated cortical areas, yet mapping their dynamics in humans remains challenging. The supplementary motor area (SMA) complex serves as a crucial hub, functioning as an interface between cognitive and sensorimotor processing. Navigated transcranial magnetic stimulation combined with electroencephalography (TMS-EEG) enables causal, time-resolved assessment of cortical excitability and connectivity with high temporal and spatial precision. Extending prior proof-of-concept work, this study aims to provide normative neurophysiological signatures of the SMA complex (pre-SMA and SMA). Methods: Twenty-one healthy subjects underwent a TMS-EEG session where six stimulation targets over the SMA complex (three in pre-SMA, one in the border between pre-SMA and SMA, two in SMA) were recorded. Global cortical excitability via global mean field power (GMFP) was computed over three time-windows (10-50, 50-100, and 100-200 ms) and compared across targets. Normalized power in different frequency bands (α, β1, β2, γ) and natural frequency (NF) were also computed and compared across stimulation sites. Then, we calculated tractography-derived connectivity metrics to examine corticothalamic projections from each stimulation site. Apparent fiber density (AFD)-derived connection strength quantified intra-axonal fibre volume along pathways to the whole thalamus, whereas fibre bundle capacity (FBC) assessed the aggregate intra-axonal cross-sectional area at pathway endpoints, providing an estimate of information transmission capacity to each of the 23 thalamic nuclei. Results: Cortical excitability and oscillatory properties varied significantly across TMS targets. A gradient in cortical excitability was observed, where anterior and middle portions of pre-SMA exhibited significantly lower GMFP in the early post-stimulus phase (i.e., 10-50 ms) than SMA portions; interestingly, these differences were clearly dampened in a later time-window (50-100 ms) and disappeared after this period. Furthermore, higher α and lower β2 power were observed in anterior pre-SMA than posterior pre-SMA portions. No differences were observed in NF. Crucially, we also observed significant differences in whole- and single-nuclei thalamic structural connectivity. Discussion: These findings provide direct human

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PMID41676554
PMCPMC12889535

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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.