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Titolo:
COMMENTARY AND OPINION .1. PRINCIPAL COMPONENT ANALYSIS, VARIANCE PARTITIONING, AND FUNCTIONAL CONNECTIVITY
Autore:
STROTHER SC; KANNO I; ROTTENBERG DA;
Indirizzi:
VET ADM MED CTR,PET IMAGING SERV 11P,1 VET DR MINNEAPOLIS MN 55417 UNIV MINNESOTA,DEPT NEUROL MINNEAPOLIS MN 55455 UNIV MINNESOTA,DEPT RADIOL MINNEAPOLIS MN 55455 RES INST BRAIN & BLOOD VESSELS AKITA JAPAN
Titolo Testata:
Journal of cerebral blood flow and metabolism
fascicolo: 3, volume: 15, anno: 1995,
pagine: 353 - 360
SICI:
0271-678X(1995)15:3<353:CAO.PC>2.0.ZU;2-I
Fonte:
ISI
Lingua:
ENG
Soggetto:
GLUCOSE METABOLIC RATES; CEREBRAL BLOOD-FLOW; MOOD DISORDERS; BRAIN-REGIONS; MODEL; FLUORODEOXYGLUCOSE; ANATOMY; DISEASE; IMAGES;
Keywords:
BRAIN ACTIVATION; FUNCTIONAL CONNECTIVITY; POSITRON EMISSION TOMOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL MODELS;
Tipo documento:
Editorial Material
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
45
Recensione:
Indirizzi per estratti:
Citazione:
S.C. Strother et al., "COMMENTARY AND OPINION .1. PRINCIPAL COMPONENT ANALYSIS, VARIANCE PARTITIONING, AND FUNCTIONAL CONNECTIVITY", Journal of cerebral blood flow and metabolism, 15(3), 1995, pp. 353-360

Abstract

We briefly review the need for careful study of ''variance partitioning'' and ''optimal model selection'' in functional positron emission tomography (PET) data analysis, emphasizing the use of principal component analysis (PCA) and the importance of data analytic techniques thatallow for heterogeneous spatial covariance structures. Using an [O-15]water dataset, we demonstrate that-even after data processing-the intrasubject signal component of primary interest in baseline activation studies constitutes a very small fraction of the intersubject variance. This small intrasubject variance component is subtly but significantly changed by using analysis of covariance instead of scaled subprofile model processing before applying PCA. Finally, we argue that the concept of ''functional connectivity'' should be interpreted very generally until the relative roles of inter- and intrasubject variability in both disease and normal PET datasets are better understood.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 03/04/20 alle ore 11:13:20