Evidence map›Paper›PMID 40791387›Full record

ArticlebioRxiv : the preprint server for biology2025

Complementary cortical and thalamic contributions to cell-type-specific striatal activity dynamics during movement.

Enida Gjoni, Ram Dyuthi Sristi, Haixin Liu, Shahar Dror, Xinlei Lin, Keelin O'Neil, Oscar M Arroyo, Sun Woo Hong, Hannah Kim, Jeffrey Liu and 4 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

14 authors.

Enida GjoniDept. of Neurobiology, Center for Neural Circuits and Behavior, Dept. of Neurosciences, University of California San Diego, La Jolla CA USA.ORCID 0000-0003-4028-9294
Ram Dyuthi SristiDept. of Electrical and Computer Engineering, University of California San Diego, La Jolla CA USA.ORCID 0000-0002-3234-9413
Haixin LiuDept. of Neurobiology, Center for Neural Circuits and Behavior, Dept. of Neurosciences, University of California San Diego, La Jolla CA USA.ORCID 0000-0003-3217-856X
Shahar DrorDept. of Electrical and Computer Engineering, University of California San Diego, La Jolla CA USA.
Xinlei LinDept. of Neurobiology, Center for Neural Circuits and Behavior, Dept. of Neurosciences, University of California San Diego, La Jolla CA USA.
Keelin O'NeilDept. of Neurobiology, Center for Neural Circuits and Behavior, Dept. of Neurosciences, University of California San Diego, La Jolla CA USA.
Oscar M ArroyoDept. of Neurobiology, Center for Neural Circuits and Behavior, Dept. of Neurosciences, University of California San Diego, La Jolla CA USA.
Sun Woo HongDept. of Neurobiology, Center for Neural Circuits and Behavior, Dept. of Neurosciences, University of California San Diego, La Jolla CA USA.
Hannah KimDept. of Neurobiology, Center for Neural Circuits and Behavior, Dept. of Neurosciences, University of California San Diego, La Jolla CA USA.
Jeffrey LiuDept. of Computer Science and Engineering, University of California San Diego, La Jolla CA USA.
Sonja BlumenstockDept. of Neurobiology, Center for Neural Circuits and Behavior, Dept. of Neurosciences, University of California San Diego, La Jolla CA USA.
Byungkook LimDept. of Neurobiology, Center for Neural Circuits and Behavior, Dept. of Neurosciences, University of California San Diego, La Jolla CA USA.
Gal MishneDept. of Electrical and Computer Engineering, University of California San Diego, La Jolla CA USA.ORCID 0000-0002-5287-3626
Takaki KomiyamaDept. of Neurobiology, Center for Neural Circuits and Behavior, Dept. of Neurosciences, University of California San Diego, La Jolla CA USA.ORCID 0000-0001-9609-4600

Funding

Cortical Control of Motor LearningR01NS091010 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIYAMA, TAKAKI · 2015 to 2024
$3.7M
Deconstructing Functional Circuits of Motor Cortex During Motor Learning - Microscope Repair Administrative SupplementR01NS125298 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Takaki Komiyama · 2022 to 2026
$2.8M
Cortical plasticity during reinforcement learning - Diversity SupplementR01MH128746 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Takaki Komiyama · 2022 to 2026
$2.3M
Context-dependent plasticity of adult-born neuronsR01DC018545 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIYAMA, TAKAKI · 2020 to 2024
$2.2M
NIDCD NIH HHS R01 DC018545NIMH NIH HHS R01 MH128746NINDS NIH HHS R01 NS091010NINDS NIH HHS R01 NS125298
6 · The paper itself

Abstract

Coordinated motor behavior emerges from information flow across brain regions. How long-range inputs drive cell-type-specific activity within motor circuits remains unclear. The dorsolateral striatum (DLS) contains direct- and indirect-pathway medium spiny neurons (dMSNs and iMSNs) with distinct roles in movement control. In mice performing skilled locomotion, we recorded from dMSNs, iMSNs, and their cortical and thalamic inputs identified by monosynaptic rabies tracing. An RNN classifier and clustering analysis revealed functionally heterogeneous subpopulations in each population, with dMSNs preferentially activated at movement onset and offset, and iMSNs during execution. Cortical and thalamic inputs were preferentially activated during onset/offset and execution, respectively, though dMSN- and iMSN-projecting neurons in each region showed similar patterns. Locomotion phase-specific rhythmic activity was found in a subset of thalamic dMSN-projecting neurons and dMSNs. Cortex or thalamus inactivation reduced MSN activity. These findings suggest that corticostriatal and thalamostriatal inputs convey complementary motor signals via shared and cell-type-specific pathways.

Identifiers

PMID40791387
PMCPMC12338506

What OpenQuestion holds

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LicenceCC BY-ND
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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.