Evidence map›Paper›PMID 25653585›Full record

ArticleFrontiers in neuroscience2015

Computational neurobiology is a useful tool in translational neurology: the example of ataxia.

Sherry-Ann Brown, Louise D McCullough, Leslie M Loew

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
6.2field-weighted citation impact, top 2% 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

7 citing papers in PubMed, 74 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Sherry-Ann BrownDepartment of Medicine, Mayo Clinic Rochester, MN, USA.
Louise D McCulloughDepartments of Neurology and Neuroscience, University of Connecticut Health Center Farmington, CT, USA.
Leslie M LoewRichard D. Berlin Center for Cell Analysis and Modeling, University of Connecticut Health Center Farmington, CT, USA.
UConn Health · USMayo Clinic in Florida · US

Funding

TR&D4 Spatial Modeling: Modeling Framework for Cell MotilityP41GM103313 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LOEW, LESLIE M · 2012 to 2018
$9.7M
Potentiometric Dyes and Membrane PermeabilityR01EB001963 · NIBIB · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LOEW, LESLIE M · 2003 to 2016
$4.5M
NIBIB NIH HHS R01 EB001963NIGMS NIH HHS P41 GM103313
6 · The paper itself

Abstract

Hereditary ataxia, or motor incoordination, affects approximately 150,000 Americans and hundreds of thousands of individuals worldwide with onset from as early as mid-childhood. Affected individuals exhibit dysarthria, dysmetria, action tremor, and diadochokinesia. In this review, we consider an array of computational studies derived from experimental observations relevant to human neuropathology. A survey of related studies illustrates the impact of integrating clinical evidence with data from mouse models and computational simulations. Results from these studies may help explain findings in mice, and after extensive laboratory study, may ultimately be translated to ataxic individuals. This inquiry lays a foundation for using computation to understand neurobiochemical and electrophysiological pathophysiology of spinocerebellar ataxias and may contribute to development of therapeutics. The interdisciplinary analysis suggests that computational neurobiology can be an important tool for translational neurology.

Indexed as

computationalhomerinositol 1,4,5-triphosphate receptor 1modelneurologyPurkinjespinocerebellar ataxiatranslational

Identifiers

PMID25653585
PMCPMC4300942
OpenAlexW2010170814

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.