Evidence map›Paper›PMID 41427273›Full record

ArticlebioRxiv : the preprint server for biology2025

Degraded sensory coding in a mouse model of

Kaeli Vandemark, Hannah R Monday, Lucia Rodriguez, Manya Zhao, Meeseo Lee, Amit Ahituv, Anwita Satapathy, Nicholas F Page, Kelly An, Elizabeth Hamada and 3 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

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

13 authors.

Kaeli VandemarkDepartment of Neuroscience and Helen Wills Neuroscience Institute, UC Berkeley.
Hannah R MondayDepartment of Neuroscience and Helen Wills Neuroscience Institute, UC Berkeley.
Lucia RodriguezDepartment of Neuroscience and Helen Wills Neuroscience Institute, UC Berkeley.
Manya ZhaoDepartment of Neuroscience and Helen Wills Neuroscience Institute, UC Berkeley.
Meeseo LeeDepartment of Neuroscience and Helen Wills Neuroscience Institute, UC Berkeley.
Amit AhituvDepartment of Neuroscience and Helen Wills Neuroscience Institute, UC Berkeley.
Anwita SatapathyDepartment of Neuroscience and Helen Wills Neuroscience Institute, UC Berkeley.
Nicholas F PageDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco.
Kelly AnDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco.
Elizabeth HamadaDepartment of Neurology.
Nadav AhituvDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco.
Kevin J BenderDepartment of Neurology.
Daniel E FeldmanDepartment of Neuroscience and Helen Wills Neuroscience Institute, UC Berkeley.ORCID 0000-0003-4646-8170

Funding

CRISPRa-based rescue of sensorimotor deficits in the Scn2a+/- mouse model of autism spectrum disorderR01MH136475 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kevin J Bender, Daniel Feldman · 2024 to 2026
$2.0M
The function of SCN2A in neocortexR01MH125978 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BENDER, KEVIN J · 2021 to 2025
$2.0M
Sensory regulation of interneuron intrinsic excitability in sensorycortexR01NS134639 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Daniel Feldman · 2024 to 2026
$1.3M
NIMH NIH HHS R01 MH125978NIMH NIH HHS R01 MH136475NINDS NIH HHS R01 NS134639
6 · The paper itself

Abstract

Heterozygous loss-of-function mutations in

Indexed as

discriminationneural codingPV interneuronSensory cortexsensory mapwhisker

Identifiers

PMID41427273
PMCPMC12714025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.