Evidence map›Paper›PMID 41509241›Full record

ArticlebioRxiv : the preprint server for biology2025

Routing of task-relevant information in mouse PPC during continuous visuomotor control.

Poojya Ravishankar, Harrison A Grier, Matthew T Kaufman

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

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

3 authors.

Poojya RavishankarCommittee on Computational Neuroscience.ORCID 0000-0001-6707-036X
Harrison A GrierCommittee on Computational Neuroscience.ORCID 0000-0001-9107-2912
Matthew T KaufmanDept. of Organismal Biology and Anatomy.ORCID 0000-0002-8072-023X

Funding

Mapping neural ensemble computations to biological circuitry in motor control and decision making - Resubmission - 1R01NS121535 · NINDS · UNIVERSITY OF CHICAGO · PI KAUFMAN, MATTHEW TYLER · 2021 to 2025
$2.0M
Neural, Computational, and Neuromechanical Approaches to Motor ControlT32NS121763 · NINDS · UNIVERSITY OF CHICAGO · PI MELINA E HALE, Nicholas G Hatsopoulos · 2022 to 2026
$1.6M
NINDS NIH HHS R01 NS121535NINDS NIH HHS T32 NS121763
6 · The paper itself

Abstract

Posterior Parietal Cortex (PPC) exhibits tuning to many variables, including strong representations of visual information, movement, and behavioral biases. Whether PPC communicates all these variables to other areas is less clear. We examined PPC activity in mice performing a novel, closed-loop, 2D visuomotor joystick task that required animals to act exclusively on a task-relevant axis of visual motion. To determine what components of PPC's representation were sent to M1, we performed two-photon calcium imaging of layer 2/3 neurons in contralateral PPC of expert mice with PPC-M1 projection neurons identified via retrograde tracing. Consistent with previous results, PPC neurons exhibited random mixed selectivity and were typically most strongly modulated by joystick movement. Most of the visually responsive neurons were more strongly modulated by task-relevant than task-irrelevant visual motion. Encoding in labeled PPC-M1 neurons was similar to encoding in unlabeled neurons, with one major exception: unlike the task-relevant visual enrichment in unlabeled PPC neurons, task-relevant and task-irrelevant visual motion were encoded at similarly weak levels in PPC-M1 neurons. This argues that although PPC encodes a mix of visual, movement and other information, the PPC-M1 pathway is dominated by movement information and does not propagate PPC's learned enrichment of task-relevant visual signals.

Identifiers

PMID41509241
PMCPMC12776144

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Registered trials

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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.