Evidence map›Paper›PMID 36113428›Full record

ArticleCell2022

Cell-type-specific population dynamics of diverse reward computations.

Emily L Sylwestrak, YoungJu Jo, Sam Vesuna, Xiao Wang, Blake Holcomb, Rebecca H Tien, Doo Kyung Kim, Lief Fenno, Charu Ramakrishnan, William E Allen and 4 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
8.7field-weighted citation impact, top 1% 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

50 citing papers in PubMed, 75 citations in OpenAlex.

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  6. PGE2 modulation of stimulus valence directs zebrafish behavioral fever.bioRxiv : the preprint server for biology · 2026
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  8. Prefrontal Mechanisms of Rule Learning.bioRxiv : the preprint server for biology · 2026
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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

14 authors at 4 institutions in 1 country.

Emily L SylwestrakDepartment of Biology, University of Oregon, Eugene, OR 97403, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Institute of Neuroscience, University of Oregon, Eugene, OR 97403, USA. Electronic address: emily@uoregon.edu.
YoungJu JoDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Applied Physics, Stanford University, Stanford, CA 94305, USA.
Sam VesunaDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA.
Xiao WangDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Blake HolcombInstitute of Neuroscience, University of Oregon, Eugene, OR 97403, USA.
Rebecca H TienDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Doo Kyung KimDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Lief FennoDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA.
Charu RamakrishnanDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
William E AllenDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; Neurosciences Interdepartmental Program, Stanford University, Stanford, CA 94303, USA.
Ritchie ChenDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Krishna V ShenoyDepartment of Neurobiology, Stanford University, Stanford, CA 94303, USA; Department of Electrical Engineering, Stanford University, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
David SussilloDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
Karl DeisserothDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA. Electronic address: deissero@stanford.edu.
Stanford University · USHoward Hughes Medical Institute · USUniversity of Oregon · USNeurosciences Institute · US

Funding

Training CoreP50DA042012 · NIDA · STANFORD UNIVERSITY · PI Karl A. Deisseroth · 2017 to 2026
$27.1M
OPTICAL NEUROMODULATION TECHNOLOGY FOR LONG TIMESCALESR01MH086373 · NIMH · STANFORD UNIVERSITY · PI DEISSEROTH, KARL A. · 2010 to 2025
$9.1M
Structural and molecular identification of circuitry underlying joint processing of motivation and aversionR37DA035377 · NIDA · STANFORD UNIVERSITY · PI DEISSEROTH, KARL A. · 2013 to 2022
$6.2M
Howard Hughes Medical InstituteNIDA NIH HHS P50 DA042012NIDA NIH HHS R37 DA035377NIMH NIH HHS R01 MH086373
6 · The paper itself

Abstract

Computational analysis of cellular activity has developed largely independently of modern transcriptomic cell typology, but integrating these approaches may be essential for full insight into cellular-level mechanisms underlying brain function and dysfunction. Applying this approach to the habenula (a structure with diverse, intermingled molecular, anatomical, and computational features), we identified encoding of reward-predictive cues and reward outcomes in distinct genetically defined neural populations, including TH

Indexed as

HabenulaRewardPopulation Dynamicsattractor dynamicscell typedynamical systemshabenulamotivationreinforcementreward

Identifiers

PMID36113428
PMCPMC10387374
OpenAlexW4295948280

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.