Concurrent single-pulse TMS-fMRI dataset to reveal the causal connectome in healthy and patient populations
Abstract Neuroimaging and cognitive neuroscience studies have identified neural circuits linked to anxiety, mood, and trauma-related symptoms and focused on their interaction with the medial prefrontal default mode circuitry. Despite these advances, developing new neuromodulatory treatments based on...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05377-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849402738998247424 |
|---|---|
| author | Cameron Glick Niharika Gajawelli Yinming Sun Faizan Badami Manish Saggar Amit Etkin |
| author_facet | Cameron Glick Niharika Gajawelli Yinming Sun Faizan Badami Manish Saggar Amit Etkin |
| author_sort | Cameron Glick |
| collection | DOAJ |
| description | Abstract Neuroimaging and cognitive neuroscience studies have identified neural circuits linked to anxiety, mood, and trauma-related symptoms and focused on their interaction with the medial prefrontal default mode circuitry. Despite these advances, developing new neuromodulatory treatments based on neurocircuitry remains challenging. It remains unclear which nodes within and controlling these circuits are affected and how their impairment is connected to psychiatric symptoms. Concurrent single-pulse (sp) TMS/fMRI offers a promising approach to probing and mapping the integrity of these circuits. In this study, we present concurrent spTMS/fMRI data along with structural MRI scans from 152 participants, across 4 clinical groupings: Non-trauma Exposed Healthy Controls (NTHC; n = 46), Trauma Exposed Healthy Controls (TEHC; n = 29), Non-trauma Induced Symptomatic (NTS; n = 43), Trauma Induced Symptomatic (NIS; n = 34).The spTMS was administered to 11 different cortical sites, providing a dataset that allows researchers to investigate how brain circuits are modulated by spTMS. |
| format | Article |
| id | doaj-art-b5c9dd2b69a5459598624fa4b48a50ab |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-b5c9dd2b69a5459598624fa4b48a50ab2025-08-20T03:37:28ZengNature PortfolioScientific Data2052-44632025-07-0112111010.1038/s41597-025-05377-yConcurrent single-pulse TMS-fMRI dataset to reveal the causal connectome in healthy and patient populationsCameron Glick0Niharika Gajawelli1Yinming Sun2Faizan Badami3Manish Saggar4Amit Etkin5Department of Psychiatry and Behavioral Sciences, Stanford UniversityDepartment of Psychiatry and Behavioral Sciences, Stanford UniversityDepartment of Psychiatry, University of California San DiegoAlto NeuroscienceDepartment of Psychiatry and Behavioral Sciences, Stanford UniversityAlto NeuroscienceAbstract Neuroimaging and cognitive neuroscience studies have identified neural circuits linked to anxiety, mood, and trauma-related symptoms and focused on their interaction with the medial prefrontal default mode circuitry. Despite these advances, developing new neuromodulatory treatments based on neurocircuitry remains challenging. It remains unclear which nodes within and controlling these circuits are affected and how their impairment is connected to psychiatric symptoms. Concurrent single-pulse (sp) TMS/fMRI offers a promising approach to probing and mapping the integrity of these circuits. In this study, we present concurrent spTMS/fMRI data along with structural MRI scans from 152 participants, across 4 clinical groupings: Non-trauma Exposed Healthy Controls (NTHC; n = 46), Trauma Exposed Healthy Controls (TEHC; n = 29), Non-trauma Induced Symptomatic (NTS; n = 43), Trauma Induced Symptomatic (NIS; n = 34).The spTMS was administered to 11 different cortical sites, providing a dataset that allows researchers to investigate how brain circuits are modulated by spTMS.https://doi.org/10.1038/s41597-025-05377-y |
| spellingShingle | Cameron Glick Niharika Gajawelli Yinming Sun Faizan Badami Manish Saggar Amit Etkin Concurrent single-pulse TMS-fMRI dataset to reveal the causal connectome in healthy and patient populations Scientific Data |
| title | Concurrent single-pulse TMS-fMRI dataset to reveal the causal connectome in healthy and patient populations |
| title_full | Concurrent single-pulse TMS-fMRI dataset to reveal the causal connectome in healthy and patient populations |
| title_fullStr | Concurrent single-pulse TMS-fMRI dataset to reveal the causal connectome in healthy and patient populations |
| title_full_unstemmed | Concurrent single-pulse TMS-fMRI dataset to reveal the causal connectome in healthy and patient populations |
| title_short | Concurrent single-pulse TMS-fMRI dataset to reveal the causal connectome in healthy and patient populations |
| title_sort | concurrent single pulse tms fmri dataset to reveal the causal connectome in healthy and patient populations |
| url | https://doi.org/10.1038/s41597-025-05377-y |
| work_keys_str_mv | AT cameronglick concurrentsinglepulsetmsfmridatasettorevealthecausalconnectomeinhealthyandpatientpopulations AT niharikagajawelli concurrentsinglepulsetmsfmridatasettorevealthecausalconnectomeinhealthyandpatientpopulations AT yinmingsun concurrentsinglepulsetmsfmridatasettorevealthecausalconnectomeinhealthyandpatientpopulations AT faizanbadami concurrentsinglepulsetmsfmridatasettorevealthecausalconnectomeinhealthyandpatientpopulations AT manishsaggar concurrentsinglepulsetmsfmridatasettorevealthecausalconnectomeinhealthyandpatientpopulations AT amitetkin concurrentsinglepulsetmsfmridatasettorevealthecausalconnectomeinhealthyandpatientpopulations |