Dissociating functional brain networks by decoding the between-subject variability

In this study we illustrate how the functional networks involved in a single task (e.g. the sensory, cognitive and motor components) can be segregated without cognitive subtractions at the second-level. The method used is based on meaningful variability in the patterns of activation between subjects...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	NeuroImage (Orlando, Fla.) Ročník 45; číslo 2; s. 349 - 359
Hlavní autoři:	Seghier, Mohamed L., Price, Cathy J.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Inc 01.04.2009 Elsevier Limited Academic Press
Témata:	Across-subject variability Adolescent Adult Aged Between-subject variance Brain Brain - physiology Cognition - physiology Cognitive subtractions Computer Simulation Decision making Default network Female Functional MRI Fuzzy clustering Humans Image Interpretation, Computer-Assisted - methods Inter-individual variability Language Magnetic Resonance Imaging - methods Male Middle Aged Models, Neurological Nerve Net - physiology Networks Reproducibility of Results Second-level analysis Semantic decision Semantics Sensitivity and Specificity Studies Young Adult Cognitive subtractions Networks Fuzzy clustering Language Between-subject variance Inter-individual variability Default network Second-level analysis Functional MRI Across-subject variability Semantic decision
ISSN:	1053-8119, 1095-9572, 1095-9572
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!