Evidence map›Paper›PMID 40800913›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Multimodal state-dependent connectivity analysis of arousal and autonomic centers in the brainstem and basal forebrain.

Haatef Pourmotabbed, Caroline G Martin, Sarah E Goodale, Derek J Doss, Shiyu Wang, Roza G Bayrak, Hakmook Kang, Victoria L Morgan, Dario J Englot, Catie Chang

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Haatef PourmotabbedDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.ORCID https://orcid.org/0009-0002-6713-3388
Caroline G MartinVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Sarah E GoodaleDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.
Derek J DossDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.
Shiyu WangDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.
Roza G BayrakVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Hakmook KangDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States.
Victoria L MorganDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.
Dario J EnglotDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.
Catie ChangDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Project 5: ComputationalP50MH109429 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI Ting Xu · 2017 to 2026
$25.3M
Medical Scientist Training ProgramT32GM152284 · NIGMS · VANDERBILT UNIVERSITY · PI Christopher S. Williams · 2024 to 2026
$4.8M
Relating Vigilance to Connectivity and Neurocognition in Temporal Lobe EpilepsyR01NS112252 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ENGLOT, DARIO J · 2019 to 2023
$3.0M
Training Program for Innovative Engineering Research in Surgery and InterventionT32EB021937 · NIBIB · VANDERBILT UNIVERSITY · PI Dario J Englot, Michael Ian Miga · 2016 to 2026
$2.3M
Longitudinal effects of aging and neurodegeneration on structure-function and brain-behavior relationshipsK00AG079810 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Sarah E Goodale · 2025 to 2026
$161k
State-dependent connectivity of impaired autonomic brain networks underlying cardiorespiratory dysfunction in epilepsyF31NS143413 · NINDS · VANDERBILT UNIVERSITY · PI Haatef Pourmotabbed · 2025 to 2026
$100k
Characterizing vigilance in fMRI data and its relation to age-related cognitive impairment.F99AG079810 · NIA · VANDERBILT UNIVERSITY · PI GOODALE, SARAH E · 2022 to 2024
$65k
Dynamic multimodal connectivity analysis of brain networks in focal epilepsyF31NS131056 · NINDS · VANDERBILT UNIVERSITY · PI DOSS, DEREK J · 2023 to 2024
$60k
NIA NIH HHS F99 AG079810NIA NIH HHS K00 AG079810NIBIB NIH HHS T32 EB021937NIGMS NIH HHS T32 GM007347NIGMS NIH HHS T32 GM152284NIMH NIH HHS P50 MH109429NIMH NIH HHS U54 MH091657NINDS NIH HHS F31 NS131056NINDS NIH HHS F31 NS143413NINDS NIH HHS R01 NS112252
6 · The paper itself

Abstract

Vigilance is a continuously altering state of cortical activation that influences cognition and behavior and is disrupted in multiple brain pathologies. Neuromodulatory nuclei in the brainstem and basal forebrain are implicated in arousal regulation and are key drivers of widespread neuronal activity and communication. However, it is unclear how their large-scale brain network architecture changes across dynamic variations in vigilance state (i.e., alertness and drowsiness). In this study, we leverage simultaneous electroencephalography (EEG) and 3T multi-echo functional magnetic resonance imaging (fMRI) to elucidate the vigilance-dependent connectivity of arousal regulation centers in the brainstem and basal forebrain. During states of low vigilance, most of the neuromodulatory nuclei investigated here exhibit a stronger global correlation pattern and greater connectivity to the thalamus, precuneus, and sensory and motor cortices. In a more alert state, the nuclei exhibit the strongest connectivity to the salience, default mode, and auditory networks. These vigilance-dependent correlation patterns persist even after applying multiple preprocessing strategies to reduce systemic vascular effects. To validate our findings, we analyze two large 3T and 7T fMRI datasets from the Human Connectome Project and demonstrate that the static and vigilance-dependent connectivity profiles of the arousal nuclei are reproducible across 3T multi-echo, 3T single-echo, and 7T single-echo fMRI modalities. Overall, this work provides novel insights into the role of neuromodulatory systems in vigilance-related brain activity.

Indexed as

ascending arousal systemautonomic nervous systembasal forebrainbrainstemfunctional connectivityfunctional magnetic resonance imaging (fMRI)vigilance

Identifiers

PMID40800913
PMCPMC12330857

What Socratic holds

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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 Socratic graph.