Evidence map›Paper›PMID 39416182›Full record

ArticlebioRxiv : the preprint server for biology2024

Changes in brain connectivity and neurovascular dynamics during dexmedetomidine-induced loss of consciousness.

Panagiotis Fotiadis, Andrew R McKinstry-Wu, Sarah M Weinstein, Philip A Cook, Mark Elliott, Matthew Cieslak, Jeffrey T Duda, Theodore D Satterthwaite, Russell T Shinohara, Alexander Proekt and 3 more

Abstract readPreprint
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

5 · Who and what money

Authors and funding

13 authors.

Panagiotis FotiadisDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-7287-9227
Andrew R McKinstry-WuDepartment of Anesthesiology & Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Sarah M WeinsteinDepartment of Epidemiology and Biostatistics, Temple University College of Public Health, Philadelphia, PA, USA.
Philip A CookDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Mark ElliottDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Matthew CieslakPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.
Jeffrey T DudaDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Theodore D SatterthwaitePenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Russell T ShinoharaPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Alexander ProektDepartment of Anesthesiology & Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Max B KelzDepartment of Anesthesiology & Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
John A DetreDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Dani S BassettDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Longitudinal Mapping of Network Development Underlying Executive Dysfunction in AdolescenceR01MH113550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Danielle Smith Bassett, Theodore Satterthwaite · 2018 to 2026
$6.9M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
Precision mapping of individualized executive networks in youthR37MH125829 · NIMH · UNIVERSITY OF MINNESOTA · PI Damien A Fair, Theodore Satterthwaite · 2021 to 2026
$4.7M
Harmonization of Multi-Site Neuroimaging Data from Complex Study DesignsR01MH123550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2025
$4.0M
Advanced Statistical Analytics of MRI in MSR01NS112274 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2024
$2.8M
Network Control and Functional Context: Mechanisms for TMS ResponseRF1MH116920 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, OATHES, DESMOND · 2018 to 2018
$2.8M
Academic Industrial Partnership on Advanced Perfusion MRIR01EB031080 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yulin V Chang, JOHN A DETRE · 2022 to 2026
$2.7M
Personalized Anesthesia: The Role of the Locus Coeruleus in Individual Anesthetic ResponsesR35GM142712 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI MCKINSTRY-WU, ANDREW RICH · 2021 to 2025
$2.2M
Training in Structural, Physiologic and Functional MRIT32EB020087 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI JAMES C GEE, Chamith Sudesh Rajapakse · 2016 to 2026
$2.1M
Evolution of the Linked Architecture of Network Control and Executive Function in AdolescenceR21MH106799 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, SATTERTHWAITE, THEODORE · 2016 to 2017
$515k
NIBIB NIH HHS R01 EB031080NIBIB NIH HHS T32 EB020087NIGMS NIH HHS R35 GM142712NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH123550NIMH NIH HHS R21 MH106799NIMH NIH HHS R37 MH125829NIMH NIH HHS RF1 MH116920NINDS NIH HHS R01 NS112274
6 · The paper itself

Abstract

Understanding the neurophysiological changes that occur during loss and recovery of consciousness is a fundamental aim in neuroscience and has marked clinical relevance. Here, we utilize multimodal magnetic resonance neuroimaging to investigate changes in regional network connectivity and neurovascular dynamics as the brain transitions from wakefulness to dexmedetomidine-induced unconsciousness, and finally into early-stage recovery of consciousness. We observed widespread decreases in functional connectivity strength across the whole brain, and targeted increases in structure-function coupling (SFC) across select networks-especially the cerebellum-as individuals transitioned from wakefulness to hypnosis. We also observed robust decreases in cerebral blood flow (CBF) across the whole brain-especially within the brainstem, thalamus, and cerebellum. Moreover, hypnosis was characterized by significant increases in the amplitude of low-frequency fluctuations (ALFF) of the resting-state blood oxygen level-dependent signal, localized within visual and somatomotor regions. Critically, when transitioning from hypnosis to the early stages of recovery, functional connectivity strength and SFC-but not CBF-started reverting towards their awake levels, even before behavioral arousal. By further testing for a relationship between connectivity and neurovascular alterations, we observed that during wakefulness, brain regions with higher ALFF displayed lower functional connectivity with the rest of the brain. During hypnosis, brain regions with higher ALFF displayed weaker coupling between structural and functional connectivity. Correspondingly, brain regions with stronger functional connectivity strength during wakefulness showed greater reductions in CBF with the onset of hypnosis. Earlier recovery of consciousness was associated with higher baseline (awake) levels of functional connectivity strength, CBF, and ALFF, as well as female sex. Across our findings, we also highlight the role of the cerebellum as a recurrent marker of connectivity and neurovascular changes between states of consciousness. Collectively, these results demonstrate that induction of, and emergence from dexmedetomidine-induced unconsciousness are characterized by widespread changes in connectivity and neurovascular dynamics.

Identifiers

PMID39416182
PMCPMC11482825

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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.