PUNCH: Population Characterization of Heterogeneity.

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TitlePUNCH: Population Characterization of Heterogeneity.
Publication TypeJournal Article
Year of Publication2014
AuthorsTunc, B, Ghanbari, Y, Smith, AR, Pandey, J, Browne, A, Schultz, RT, Verma, R
JournalNeuroimage
Volume98
Pagination50-60
Date Published2014 Sep
ISSN1095-9572
KeywordsAdolescent, Algorithms, Child, Child Development Disorders, Pervasive, Computer Simulation, Decision Making, Computer-Assisted, Humans, Male, Phenotype, Population, Severity of Illness Index
Abstract

Neuropsychiatric disorders are notoriously heterogeneous in their presentation, which precludes straightforward and objective description of the differences between affected and typical populations that therefore makes finding reliable biomarkers a challenge. This difficulty underlines the need for reliable methods to capture sample characteristics of heterogeneity using a single continuous measure, incorporating the multitude of scores used to describe different aspects of functioning. This study addresses this challenge by proposing a general method of identifying and quantifying the heterogeneity of any clinical population using a severity measure called the PUNCH (Population Characterization of Heterogeneity). PUNCH is a decision level fusion technique to incorporate decisions of various phenotypic scores, while providing interpretable weights for scores. We provide applications of our framework to simulated datasets and to a large sample of youth with Autism Spectrum Disorder (ASD). Next we stratify PUNCH scores in our ASD sample and show how severity moderates findings of group differences in diffusion weighted brain imaging data; more severely affected subgroups of ASD show expanded differences compared to age and gender matched healthy controls. Results demonstrate the ability of our measure in quantifying the underlying heterogeneity of the clinical samples, and suggest its utility in providing researchers with reliable severity assessments incorporating population heterogeneity.

DOI10.1016/j.neuroimage.2014.04.068
Alternate JournalNeuroimage
PubMed ID24799135
PubMed Central IDPMC4099279
Grant ListR01 MH092862 / MH / NIMH NIH HHS / United States
1RC1MH088791 / MH / NIMH NIH HHS / United States
R21 MH098010 / MH / NIMH NIH HHS / United States
P30-HD026979 / HD / NICHD NIH HHS / United States
RC1 MH088791 / MH / NIMH NIH HHS / United States
R21-MH098010 / MH / NIMH NIH HHS / United States
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