Evidence map›Paper›PMID 35723585›Full record

ArticleeLife2022

Homotopic contralesional excitation suppresses spontaneous circuit repair and global network reconnections following ischemic stroke.

Annie R Bice, Qingli Xiao, Justin Kong, Ping Yan, Zachary Pollack Rosenthal, Andrew W Kraft, Karen P Smith, Tadeusz Wieloch, Jin-Moo Lee, Joseph P Culver and 1 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Hemodynamic and Electrophysiological Progression of the Rose Bengal Photothrombotic Stroke Model in Mice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Psychedelic 5-HTNature neuroscience · 2025
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors at 2 institutions in 2 countries.

Annie R BiceDepartment of Radiology, Washington University in St. Louis, Saint Louis, United States.
Qingli XiaoDepartment of Neurology, Washington University in St. Louis, Saint Louis, United States.
Justin KongDepartment of Biology, Washington University in St. Louis, Saint Louis, United States.
Ping YanDepartment of Neurology, Washington University in St. Louis, Saint Louis, United States.
Zachary Pollack RosenthalDepartment of Neurology, Washington University School of Medicine, St. Louis, United States.ORCID 0000-0001-8787-0858
Andrew W KraftDepartment of Neurology, Washington University in St. Louis, Saint Louis, United States.ORCID 0000-0002-5168-3986
Karen P SmithDepartment of Neurology, Washington University in St. Louis, Saint Louis, United States.
Tadeusz WielochDepartment of Clinical Sciences, Lund University, Lund, Sweden.
Jin-Moo LeeDepartment of Neurology, Washington University in St. Louis, Saint Louis, United States.
Joseph P CulverDepartment of Radiology, Washington University in St. Louis, St. Louis, United States.
Adam Q BauerDepartment of Radiology, Washington University in St. Louis, Saint Louis, United States.ORCID 0000-0002-8364-3209
Washington University in St. Louis · USLund University · SE

Funding

NATIONAL RESEARCH SERVICE AWARD-MEDICAL SCIENTISTT32GM007200 · NIGMS · WASHINGTON UNIVERSITY · PI YOKOYAMA, WAYNE M. · 1985 to 2024
$59.8M
Washington University University of Texas Southwestern VCID Consortium SiteUF1NS125512 · NINDS · WASHINGTON UNIVERSITY · PI Hongyu An, Andria Lee Ford · 2021 to 2026
$6.3M
IMAGING COREP01NS080675 · NINDS · WASHINGTON UNIVERSITY · PI SNYDER, ABRAHAM ZVI · 2013 to 2017
$6.2M
High-Sensitivity DOT for Mapping Human Brain FunctionR01NS090874 · NINDS · WASHINGTON UNIVERSITY · PI CULVER, JOSEPH P · 2014 to 2025
$5.5M
Plasticizing the Cortex to Enhance Stroke RecoveryR37NS110699 · NINDS · WASHINGTON UNIVERSITY · PI LEE, JIN-MOO · 2019 to 2025
$3.5M
MAPPING FUNCTIONAL CONNECTIVITY WITH FLUORESCENCE MOLECULAR TOMOGRAPHYR01NS099429 · NINDS · WASHINGTON UNIVERSITY · PI CULVER, JOSEPH P · 2017 to 2021
$2.9M
Mid-America Regional Coordinating Center (MARCC)U24NS107230 · NINDS · WASHINGTON UNIVERSITY · PI Andria Lee Ford, Peter David Panagos · 2018 to 2026
$2.8M
OPTICAL IMAGING AND FUNCTIONAL CONNECTIVITY MAPPING FOR MICER01NS078223 · NINDS · WASHINGTON UNIVERSITY · PI CULVER, JOSEPH P · 2012 to 2016
$2.7M
Targeting TFEB To Microglia and Monocytes to Enhance Amyloid DegradationR01NS094692 · NINDS · WASHINGTON UNIVERSITY · PI DIWAN, ABHINAV, LEE, JIN-MOO · 2017 to 2021
$2.4M
INFLUENCE OF INTERHEMISPHERIC CONNECTIVITY ON RECOVERY AFTER FOCAL ISCHEMIAR01NS084028 · NINDS · WASHINGTON UNIVERSITY · PI LEE, JIN-MOO · 2013 to 2017
$2.2M
OPTOGENETIC MAPPING OF CELL SPECIFIC CONNECTIONS IN THE MOUSE BRAIN AFTER STROKER01NS102870 · NINDS · WASHINGTON UNIVERSITY · PI BAUER, ADAM Q · 2018 to 2022
$2.1M
Determining the efficacy of therapeutic interventions after stroke from cell specific functional connectomesR01NS126326 · NINDS · WASHINGTON UNIVERSITY · PI ADAM Q BAUER · 2023 to 2026
$1.8M
NIBIB NIH HHS R01 EB009233NIGMS NIH HHS T32 GM007200NINDS NIH HHS F31 NS089135NINDS NIH HHS F31 NS103275NINDS NIH HHS K25 NS083754NINDS NIH HHS P01 NS080675NINDS NIH HHS R01 NS078223NINDS NIH HHS R01 NS084028NINDS NIH HHS R01 NS090874NINDS NIH HHS R01 NS094692NINDS NIH HHS R01 NS099429NINDS NIH HHS R01 NS102870NINDS NIH HHS R01 NS126326NINDS NIH HHS R37 NS110699NINDS NIH HHS U24 NS107230NINDS NIH HHS UF1 NS125512
6 · The paper itself

Abstract

Understanding circuit-level manipulations that affect the brain's capacity for plasticity will inform the design of targeted interventions that enhance recovery after stroke. Following stroke, increased contralesional activity (e.g. use of the unaffected limb) can negatively influence recovery, but it is unknown which specific neural connections exert this influence, and to what extent increased contralesional activity affects systems- and molecular-level biomarkers of recovery. Here, we combine optogenetic photostimulation with optical intrinsic signal imaging to examine how contralesional excitatory activity affects cortical remodeling after stroke in mice. Following photothrombosis of left primary somatosensory forepaw (S1FP) cortex, mice either recovered spontaneously or received chronic optogenetic excitation of right S1FP over the course of 4 weeks. Contralesional excitation suppressed perilesional S1FP remapping and was associated with abnormal patterns of stimulus-evoked activity in the unaffected limb. This maneuver also prevented the restoration of resting-state functional connectivity (RSFC) within the S1FP network, RSFC in several networks functionally distinct from somatomotor regions, and resulted in persistent limb-use asymmetry. In stimulated mice, perilesional tissue exhibited transcriptional changes in several genes relevant for recovery. Our results suggest that contralesional excitation impedes local and global circuit reconnection through suppression of cortical activity and several neuroplasticity-related genes after stroke, and highlight the importance of site selection for targeted therapeutic interventions after focal ischemia.

Indexed as

Ischemic StrokeStrokeAnimalsForelimbMiceNeuronal PlasticityRecovery of FunctionSomatosensory Cortexfunctional connectivityfunctional neuroimagingmouseneuroscienceoptical intrinsic signal imagingoptogeneticsplasticitystroke recovery

Identifiers

PMID35723585
PMCPMC9333991
OpenAlexW4283165960

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.