Evidence map›Paper›PMID 36791185›Full record

ArticleScience advances2023

Neuronal dynamics of the default mode network and anterior insular cortex: Intrinsic properties and modulation by salient stimuli.

Tzu-Hao Harry Chao, Byeongwook Lee, Li-Ming Hsu, Domenic Hayden Cerri, Wei-Ting Zhang, Tzu-Wen Winnie Wang, Srikanth Ryali, Vinod Menon, Yen-Yu Ian Shih

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
7.4field-weighted citation impact, top 2% of its field
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

31 citing papers in PubMed, 42 citations in OpenAlex.

  1. Bayesian dynamical system analysis of the effects of methylphenidate in children with attention-deficit/hyperactivity disorder: a randomized trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Trial
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  6. Review
  7. Biophysical mechanisms of default mode network function and dysfunction.bioRxiv : the preprint server for biology · 2026
    Article
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  9. Article
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  11. Neuromodulation in Small Animal fMRI.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. NIMH perspectives on future directions in neuroimaging for mental health.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
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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

9 authors at 3 institutions in 1 country.

Tzu-Hao Harry ChaoCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-0057-6849
Byeongwook LeeDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0002-9732-5295
Li-Ming HsuCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-9296-344X
Domenic Hayden CerriCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0003-4322-5827
Wei-Ting ZhangCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-7366-9771
Tzu-Wen Winnie WangCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Srikanth RyaliDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0001-9773-0381
Vinod MenonDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0003-1622-9857
Yen-Yu Ian ShihCenter for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0001-6529-911X
University of North Carolina at Chapel Hill · USStanford University · USNeurosciences Institute · US

Funding

UNC ARC Information/Dissemination CoreP60AA011605 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Clyde W Hodge · 2003 to 2026
$46.3M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GABRIEL S DICHTER · 2020 to 2026
$9.7M
Circuit Mechanisms Governing the Default Mode NetworkR01MH126518 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Vinod Menon, Yen-Yu Ian Shih · 2021 to 2026
$4.3M
Mechanisms underlying positive and negative BOLD in the striatumRF1MH117053 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2018 to 2019
$4.0M
Methods for Dynamic Causal Interactions in Human Brain Function and DysfunctionR01NS086085 · NINDS · STANFORD UNIVERSITY · PI MENON, VINOD · 2014 to 2025
$3.9M
Chemogenetic Dissection of Neuronal and Astrocytic Compartment of the BOLD SignalR01MH111429 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2016 to 2020
$2.7M
Functional dissection of therapeutic deep brain stimulation circuitryR01NS091236 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2015 to 2019
$2.0M
Computational modeling of dynamic causal brain circuits underlying cognitive dysfunction in Alzheimer's diseaseRF1NS086085 · NINDS · STANFORD UNIVERSITY · PI MENON, VINOD · 2021 to 2021
$2.0M
9.4T Small Animal MRI scanner at UNCS10OD026796 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2020 to 2020
$2.0M
AVANCE NEO upgrade for the BioSpec 9.4T/30cm MRI system at UNCS10MH124745 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN · 2020 to 2020
$600k
Deciphering neural origins of interhemispheric striatal resting-state functional connectivity using simultaneous chemogenetic fMRI and triple-spectral fiber photometryR21NS133913 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHIH, YEN-YU IAN, ZHANG, WEITING · 2023 to 2023
$428k
NIAAA NIH HHS P60 AA011605NICHD NIH HHS P50 HD103573NIH HHS S10 OD026796NIMH NIH HHS R01 MH111429NIMH NIH HHS R01 MH126518NIMH NIH HHS RF1 MH117053NIMH NIH HHS S10 MH124745NINDS NIH HHS R01 NS086085NINDS NIH HHS R01 NS091236NINDS NIH HHS R21 NS133913NINDS NIH HHS RF1 NS086085
6 · The paper itself

Abstract

The default mode network (DMN) is critical for self-referential mental processes, and its dysfunction is implicated in many neuropsychiatric disorders. However, the neurophysiological properties and task-based functional organization of the rodent DMN are poorly understood, limiting its translational utility. Here, we combine fiber photometry with functional magnetic resonance imaging (fMRI) and computational modeling to characterize dynamics of putative rat DMN nodes and their interactions with the anterior insular cortex (AI) of the salience network. Our analysis revealed neuronal activity changes in AI and DMN nodes preceding fMRI-derived DMN activations and cyclical transitions between brain network states. Furthermore, we demonstrate that salient oddball stimuli suppress the DMN and enhance AI neuronal activity and that the AI causally inhibits the retrosplenial cortex, a prominent DMN node. These findings elucidate the neurophysiological foundations of the rodent DMN, its spatiotemporal dynamical properties, and modulation by salient stimuli, paving the way for future translational studies.

Indexed as

Brain MappingInsular CortexAnimalsBrainDefault Mode NetworkMagnetic Resonance ImagingMental ProcessesNerve NetRats

Identifiers

PMID36791185
PMCPMC9931216
OpenAlexW4320896482

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.