Evidence map›Paper›PMID 39279265›Full record

ReviewJournal of magnetic resonance imaging : JMRI2025

Neuromodulation in Small Animal fMRI.

Li-Ming Hsu, Yen-Yu Ian Shih

Abstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 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. Article
  3. Review
  4. Review
  5. Article
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

2 authors.

Li-Ming HsuCenter for Animal Magnetic Resonance Imaging, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-9296-344X
Yen-Yu Ian ShihCenter for Animal Magnetic Resonance Imaging, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-6529-911X

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
UNC-CH NADIA Underage Drinking and Adult Brain Morphology in RatsU01AA020023 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CREWS, FULTON T · 2010 to 2024
$7.5M
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
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
SORDINO-fMRI for mouse brain applicationsR01EB033790 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yen-Yu Ian Shih · 2023 to 2026
$2.5M
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
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
Metal-free, genetically encoded reporters for calcium recording with MRIR01NS128278 · NINDS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI Tod Edward Kippin, Arnab Mukherjee · 2023 to 2026
$1.9M
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
Accurate and Individualized Prediction of Excitation-Inhibition Imbalance in Alzheimer's Disease using Data-driven Neural ModelR21AG083589 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GUOSHI, SHIH, YEN-YU IAN · 2023 to 2023
$428k
National Institute of Child Health and Human Development P50HD103573NIAAA NIH HHS P60 AA011605NIAAA NIH HHS P60AA011605NIAAA NIH HHS U01 AA020023NIAAA NIH HHS U01AA020023NIA NIH HHS R21 AG083589NIA NIH HHS R21AG083589NIBIB NIH HHS R01 EB033790NICHD NIH HHS P50 HD103573NIDA NIH HHS R21 DA057503NIH HHS S10 OD026796NIMH NIH HHS R01 MH111429NIMH NIH HHS R01 MH126518NIMH NIH HHS R41 MH113252NIMH NIH HHS RF1 MH117053NIMH NIH HHS S10 MH124745NINDS NIH HHS R01 NS091236NINDS NIH HHS R01 NS128278NINDS NIH HHS R21 NS133913ODCDC CDC HHS S10 OD026796
6 · The paper itself

Abstract

The integration of functional magnetic resonance imaging (fMRI) with advanced neuroscience technologies in experimental small animal models offers a unique path to interrogate the causal relationships between regional brain activity and brain-wide network measures-a goal challenging to accomplish in human subjects. This review traces the historical development of the neuromodulation techniques commonly used in rodents, such as electrical deep brain stimulation, optogenetics, and chemogenetics, and focuses on their application with fMRI. We discuss their advantageousness roles in uncovering the signaling architecture within the brain and the methodological considerations necessary when conducting these experiments. By presenting several rodent-based case studies, we aim to demonstrate the potential of the multimodal neuromodulation approach in shedding light on neurovascular coupling, the neural basis of brain network functions, and their connections to behaviors. Key findings highlight the cell-type and circuit-specific modulation of brain-wide activity patterns and their behavioral correlates. We also discuss several future directions and feature the use of mediation and moderation analytical models beyond the intuitive evoked response mapping, to better leverage the rich information available in fMRI data with neuromodulation. Using fMRI alongside neuromodulation techniques provide insights into the mesoscopic (relating to the intermediate scale between single neurons and large-scale brain networks) and macroscopic fMRI measures that correlate with specific neuronal events. This integration bridges the gap between different scales of neuroscience research, facilitating the exploration and testing of novel therapeutic strategies aimed at altering network-mediated behaviors. In conclusion, the combination of fMRI with neuromodulation techniques provides crucial insights into mesoscopic and macroscopic brain dynamics, advancing our understanding of brain function in health and disease. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 1.

Indexed as

BrainBrain MappingMagnetic Resonance ImagingAnimalsDeep Brain StimulationHumansNeurovascular CouplingOptogeneticsRatschemogeneticsdeep brain stimulationfMRIoptogenetics

Identifiers

PMID39279265
PMCPMC11903207

What OpenQuestion holds

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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.