Evidence map›Paper›PMID 30418533›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2019

Sensitive Period for Cognitive Repurposing of Human Visual Cortex.

Shipra Kanjlia, Rashi Pant, Marina Bedny

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 29 citations in OpenAlex.

  1. Excitatory and inhibitory networks diverge following early blindness.Cerebral cortex (New York, N.Y. : 1991) · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Shipra KanjliaDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218, USA.
Rashi PantDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218, USA.
Marina BednyDepartment of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218, USA.
Johns Hopkins University · US

Funding

Visual cortex plasticity in blindness: a window into flexibility of human cortexR01EY027352 · NEI · JOHNS HOPKINS UNIVERSITY · PI BEDNY, MARINA · 2017 to 2021
$2.4M
NEI NIH HHS R01 EY027352
6 · The paper itself

Abstract

Studies of sensory loss are a model for understanding the functional flexibility of human cortex. In congenital blindness, subsets of visual cortex are recruited during higher-cognitive tasks, such as language and math tasks. Is such dramatic functional repurposing possible throughout the lifespan or restricted to sensitive periods in development? We compared visual cortex function in individuals who lost their vision as adults (after age 17) to congenitally blind and sighted blindfolded adults. Participants took part in resting-state and task-based fMRI scans during which they solved math equations of varying difficulty and judged the meanings of sentences. Blindness at any age caused "visual" cortices to synchronize with specific frontoparietal networks at rest. However, in task-based data, visual cortices showed regional specialization for math and language and load-dependent activity only in congenital blindness. Thus, despite the presence of long-range functional connectivity, cognitive repurposing of human cortex is limited by sensitive periods.

Indexed as

AdultAgedBlindnessBrainBrain MappingCognitionComprehensionFemaleHumansMagnetic Resonance ImagingMaleMathematical ConceptsNeural PathwaysProblem SolvingVisual CortexYoung Adultblindnesscross-modal plasticityfunctional connectivitymathresting-state

Identifiers

PMID30418533
PMCPMC6686750
OpenAlexW2951823459

What OpenQuestion holds

Textmetadata
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.