Evidence map›Paper›PMID 38948696›Full record

ArticlebioRxiv : the preprint server for biology2024

Densely sampled stimulus-response map of human cortex with single pulse TMS-EEG and its relation to whole brain neuroimaging measures.

Yinming Sun, Molly V Lucas, Christopher C Cline, Matthew C Menezes, Sanggyun Kim, Faizan S Badami, Manjari Narayan, Wei Wu, Zafiris J Daskalakis, Amit Etkin and 1 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

11 authors.

Yinming SunDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Molly V LucasDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Christopher C ClineDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Matthew C MenezesDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Sanggyun KimDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Faizan S BadamiDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Manjari NarayanDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Wei WuDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Zafiris J DaskalakisDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Amit EtkinDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Manish SaggarDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

Funding

A “Circuits-First” Platform for Personalized Neurostimulation TreatmentDP1MH116506 · NIMH · STANFORD UNIVERSITY · PI ETKIN, AMIT · 2017 to 2021
$5.2M
Examining the hierarchical structure of the RDoC framework using large-scale data-driven computational approachesR01MH127608 · NIMH · STANFORD UNIVERSITY · PI SAGGAR, MANISH · 2021 to 2025
$3.3M
Only time will tell: a computational psychiatry approach to model temporal transitions in brain activity as a lens towards developing better diagnostic nosology for psychiatric illnessDP2MH119735 · NIMH · STANFORD UNIVERSITY · PI SAGGAR, MANISH · 2018 to 2018
$2.4M
NIMH NIH HHS DP1 MH116506NIMH NIH HHS DP2 MH119735NIMH NIH HHS R01 MH127608
6 · The paper itself

Abstract

Large-scale networks underpin brain functions. How such networks respond to focal stimulation can help decipher complex brain processes and optimize brain stimulation treatments. To map such stimulation-response patterns across the brain non-invasively, we recorded concurrent EEG responses from single-pulse transcranial magnetic stimulation (i.e., TMS-EEG) from over 100 cortical regions with two orthogonal coil orientations from one densely-sampled individual. We also acquired Human Connectome Project (HCP)-styled diffusion imaging scans (six), resting-state functional Magnetic Resonance Imaging (fMRI) scans (120 mins), resting-state EEG scans (108 mins), and structural MR scans (T1- and T2-weighted). Using the TMS-EEG data, we applied network science-based community detection to reveal insights about the brain's causal-functional organization from both a stimulation and recording perspective. We also computed structural and functional maps and the electric field of each TMS stimulation condition. Altogether, we hope the release of this densely sampled (n=1) dataset will be a uniquely valuable resource for both basic and clinical neuroscience research.

Indexed as

community detectionDWImultimodalresting state EEGresting state fMRITMS-EEG

Identifiers

PMID38948696
PMCPMC11212865

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.