Detecting subject-specific activations using fuzzy clustering

Inter-subject variability in evoked brain responses is attracting attention because it may reflect important variability in structure–function relationships over subjects. This variability could be a signature of degenerate (many-to-one) structure–function mappings in normal subjects or reflect chan...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Jg. 36; H. 3; S. 594 - 605
Hauptverfasser:	Seghier, Mohamed L., Friston, Karl J., Price, Cathy J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 01.07.2007 Elsevier Limited Academic Press
Schlagworte:	Adult Algorithms Atypical activations Classification Cluster Analysis Data analysis Data Interpretation, Statistical Data processing Electroencephalography - statistics & numerical data Evoked Potentials - physiology Female Functional magnetic resonance imaging Fuzzy clustering Fuzzy Logic Fuzzy sets Humans Individuality Inter-individual variability Magnetic Resonance Imaging Male Outliers Overt object naming Reference Values Second-level analysis Statistics Studies Technical Note D RFX Atypical activations G Second-level analysis Outliers FCM FCP Fuzzy clustering U Inter-individual variability Functional magnetic resonance imaging Overt object naming
ISSN:	1053-8119, 1095-9572
Online-Zugang:	Volltext
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