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Titolo:
Correlator beware: Correlation has limited selectivity for fMRI data analysis
Autore:
Baumgartner, R; Somorjai, R; Summers, R; Richter, W; Ryner, L;
Indirizzi:
Natl Res Council Canada, Inst Biodiagnost, Winnipeg, MB R3B 1Y6, Canada Natl Res Council Canada Winnipeg MB Canada R3B 1Y6 eg, MB R3B 1Y6, Canada
Titolo Testata:
NEUROIMAGE
fascicolo: 2, volume: 12, anno: 2000,
pagine: 240 - 243
SICI:
1053-8119(200008)12:2<240:CBCHLS>2.0.ZU;2-C
Fonte:
ISI
Lingua:
ENG
Soggetto:
TIME-SERIES;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
11
Recensione:
Indirizzi per estratti:
Indirizzo: Somorjai, R Natl Res Council Canada, Inst Biodiagnost, 435 Ellice Ave, Winnipeg, MB R3B 1Y6, Canada Natl Res Council Canada 435 Ellice Ave Winnipeg MB Canada R3B 1Y6
Citazione:
R. Baumgartner et al., "Correlator beware: Correlation has limited selectivity for fMRI data analysis", NEUROIMAGE, 12(2), 2000, pp. 240-243

Abstract

Groups of time-courses created from fMRI data by the frequently used correlation analysis are often highly heterogeneous. This heterogeneity is due to the limited selectivity of correlation when trying to match brain time-courses to an externally imposed activation paradigm. Thus, this process unnecessarily generates many type I errors (false positives). Furthermore, as aconsequence of the heterogeneity, time-courses identified and grouped by correlation may in fact describe different activations. After demonstrating this inadequacy, we give one particular approach to partition such a heterogeneous group into internally more homogeneous subgroups, using Kendall's coefficient of concordance W, and show its applicability and application to both simulated and in vivo data. Such group partition and "purification" will help subsequent inferential methods to deal more efficiently with false positives.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 23/01/21 alle ore 03:16:06