Supervised, Multivariate, Whole-Brain Reduction Did Not Help to Achieve High Classification Performance in Schizophrenia Research

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F16%3A00088925" target="_blank" >RIV/00216224:14110/16:00088925 - isvavai.cz</a>

Alternative codes found

RIV/65269705:_____/16:00065949

Result on the web

<a href="http://dx.doi.org/10.3389/fnins.2016.00392" target="_blank" >http://dx.doi.org/10.3389/fnins.2016.00392</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3389/fnins.2016.00392" target="_blank" >10.3389/fnins.2016.00392</a>

Result language

angličtina

Original language name

Supervised, Multivariate, Whole-Brain Reduction Did Not Help to Achieve High Classification Performance in Schizophrenia Research

Original language description

We examined how penalized linear discriminant analysis with resampling, which is a supervised, multivariate, whole-brain reduction technique, can help schizophrenia diagnostics and research. In an experiment with magnetic resonance brain images of 52 first-episode schizophrenia patients and 52 healthy controls, this method allowed us to select brain areas relevant to schizophrenia, such as the left prefrontal cortex, the anterior cingulum, the right anterior insula, the thalamus, and the hippocampus. Nevertheless, the classification performance based on such reduced data was not significantly better than the classification of data reduced by mass univariate selection using a t-test or unsupervised multivariate reduction using principal component analysis.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

EI - Biotechnology and bionics

OECD FORD branch

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Project

<a href="/en/project/NT13359" target="_blank" >NT13359: Advanced Methods for Recognition of MR brain images for Computer Aided Diagnosis of Neuropsychiatric Disorders</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Frontiers in Neuroscience

ISSN

1662-453X

e-ISSN

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Volume of the periodical

10

Issue of the periodical within the volume

AUG

Country of publishing house

CH - SWITZERLAND

Number of pages

15

Pages from-to

1-15

UT code for WoS article

000381850500001

EID of the result in the Scopus database

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