Evidence map›Paper›PMID 37205373›Full record

ArticlebioRxiv : the preprint server for biology2023

Connectome-based prediction of functional impairment in experimental stroke models.

Oliver Schmitt, Peter Eipert, Yonggang Wang, Atsushi Kanoke, Gratianne Rabiller, Jialing Liu

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 4 countries.

Oliver SchmittMedical School Hamburg - University of Applied Sciences, Department of Anatomy; University of Rostock, Institute of Anatomy.
Peter EipertMedical School Hamburg - University of Applied Sciences, Department of Anatomy; University of Rostock, Institute of Anatomy.
Yonggang WangDepartment of Neurological Surgery, UCSF.
Atsushi KanokeDepartment of Neurological Surgery, UCSF.
Gratianne RabillerDepartment of Neurological Surgery, UCSF.
Jialing LiuDepartment of Neurological Surgery, UCSF.
San Francisco VA Medical Center · US

Funding

Stroke in females with metabolic syndrome, a vascular perspectiveR01NS102886 · NINDS · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI LIU, JIALING · 2018 to 2022
$1.6M
Analysis of stroke-induced changes in connectivity and neural activityR21NS120193 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIU, JIALING · 2021 to 2021
$444k
BLRD Research Career Scientist Award ApplicationIK6BX004600 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI JIALING LIU · 2019 to 2026
–
ShEEP request for High Performance Electrophysiological System for Recording and Closed-Loop StimulationIS1BX005033 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI LIU, JIALING · 2019 to 2019
–
BLRD VA IK6 BX004600BLRD VA IS1 BX005033NINDS NIH HHS R01 NS102886NINDS NIH HHS R21 NS120193
6 · The paper itself

Abstract

Experimental rat models of stroke and hemorrhage are important tools to investigate cerebrovascular disease pathophysiology mechanisms, yet how significant patterns of functional impairment induced in various models of stroke are related to changes in connectivity at the level of neuronal populations and mesoscopic parcellations of rat brains remain unresolved. To address this gap in knowledge, we employed two middle cerebral artery occlusion models and one intracerebral hemorrhage model with variant extent and location of neuronal dysfunction. Motor and spatial memory function was assessed and the level of hippocampal activation via Fos immunohistochemistry. Contribution of connectivity change to functional impairment was analyzed for connection similarities, graph distances and spatial distances as well as the importance of regions in terms of network architecture based on the

Indexed as

Barnes maze testCatwalk testconnectomicsdistal middle cerebral artery occlusion modelFitzHugh-Nagumo modelintracebral hemorrhage modelladder testleaky integrate-and-fire modelmiddle cerebral artery intraluminal suture occlusion modelMimura-Murray reaction-diffusion modelnetwork analysisneuroVIISASrotarodWilson-Cowan model

Identifiers

PMID37205373
PMCPMC10187266
OpenAlexW4372404341

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.