Evidence map›Paper›PMID 30998943›Full record

ArticleJournal of neuroscience methods2019

A deformation-based approach for characterizing brain asymmetries at different spatial scales of resolution.

Mark A Eckert, Kenneth I Vaden, Dyslexia Data Consortium

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mark A EckertDepartment of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina, Charleston, S.C., 29412, United States. Electronic address: eckert@musc.edu.
Kenneth I VadenDepartment of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina, Charleston, S.C., 29412, United States.
Dyslexia Data ConsortiumDepartment of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina, Charleston, S.C., 29412, United States.

Funding

SPEECH UNDERSTANDING IN REALISTIC ENVIRONMENTSP50DC000422 · NIDCD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DUBNO, JUDY R · 1989 to 2025
$45.3M
Multi-site Study of DyslexiaR01HD069374 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Mark Andrew Eckert · 2012 to 2026
$4.3M
RENOVATION TO SUPPORT SENSORY NEUROSCIENCE RESEARCHC06RR014516 · NCRR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RAYMOND, JOHN R · 1999 to 1999
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NCRR NIH HHS C06 RR014516NICHD NIH HHS R01 HD069374NIDCD NIH HHS P50 DC000422
6 · The paper itself

Abstract

backgroundStructural cerebral asymmetries are hypothesized to provide an architectural foundation for functional asymmetries and behavioral lateralities. Studies of structural asymmetries typically focus on gray matter measures that are influenced by gross deformation fields used for normalization, and thus characterize a combination of different morphologic influences on structural asymmetries. NEW

methodA deformation-based morphometry approach was developed to characterize structural asymmetries at different spatial scales of resolution, which can provide relatively more specific inference about the morphologic reason(s) for structural asymmetries, using a dataset of 347 typically developing children (7.00-12.92 years).

resultsSignificant structural asymmetries were observed for a larger lobar spatial scale (e.g., frontal petalia) and for a smaller gyral/sulcal spatial scale of resolution (e.g., marginal sulcus). Total intracranial volume was significantly associated with asymmetries at the larger spatial scale of normalization, while age was significantly associated with asymmetries at the smaller scale of normalization. There were no significant anti- or fluctuating asymmetry effects based on Hartigan Dip Tests and Bonnett Tests, respectively. COMPARISON WITH EXISTING METHOD(S): While spatially similar asymmetries were observed in both gray matter and deformation field data (e.g., medial planum temporale/Heschl's gyrus), the deformation approach characterizes asymmetries based on three iterations of successively smaller scales of normalization.

conclusionsStructural asymmetries can be identified in normalization deformations with a procedure that is tailored for sensitivity to structures at different spatial scales of resolution where there may be different mechanisms for the expression of asymmetry.

Indexed as

Magnetic Resonance ImagingBrainChildDominance, CerebralFemaleHumansImage Processing, Computer-AssistedMaleDeformation-based asymmetryDirectional asymmetriesJacobian determinantStructural asymmetries

Identifiers

PMID30998943
PMCPMC6546427

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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.