Subject-specific functional localizers increase sensitivity and functional resolution of multi-subject analyses

One important goal of cognitive neuroscience is to discover and explain properties common to all human brains. The traditional solution for comparing functional activations across brains in fMRI is to align each individual brain to a template brain in a Cartesian coordinate system (e.g., the Montrea...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:NeuroImage (Orlando, Fla.) Ročník 63; číslo 3; s. 1646 - 1669
Hlavní autoři: Nieto-Castañón, Alfonso, Fedorenko, Evelina
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Inc 15.11.2012
Elsevier Limited
Témata:
Brain
Brain - anatomy & histology
Brain - physiology
Brain Mapping - methods
fMRI
Functional localizers
Functional resolution
Humans
Image Interpretation, Computer-Assisted - methods
Individual subject analyses
Magnetic Resonance Imaging - methods
Methods
Neurosciences
Population
ROI analyses
Sensitivity
Sensitivity and Specificity
Statistical methods
Studies
fMRI
Sensitivity
Statistical methods
Functional resolution
Individual subject analyses
ROI analyses
Functional localizers
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!
Popis
Shrnutí:One important goal of cognitive neuroscience is to discover and explain properties common to all human brains. The traditional solution for comparing functional activations across brains in fMRI is to align each individual brain to a template brain in a Cartesian coordinate system (e.g., the Montreal Neurological Institute template). However, inter-individual anatomical variability leads to decreases in sensitivity (ability to detect a significant activation when it is present) and functional resolution (ability to discriminate spatially adjacent but functionally different neural responses) in group analyses. Subject-specific functional localizers have been previously argued to increase the sensitivity and functional resolution of fMRI analyses in the presence of inter-subject variability in the locations of functional activations (e.g., Brett et al., 2002; Fedorenko and Kanwisher, 2009, 2011; Fedorenko et al., 2010; Kanwisher et al., 1997; Saxe et al., 2006). In the current paper we quantify this dependence of sensitivity and functional resolution on functional variability across subjects in order to illustrate the highly detrimental effects of this variability on traditional group analyses. We show that analyses that use subject-specific functional localizers usually outperform traditional group-based methods in both sensitivity and functional resolution, even when the same total amount of data is used for each analysis. We further discuss how the subject-specific functional localization approach, which has traditionally only been considered in the context of ROI-based analyses, can be extended to whole-brain voxel-based analyses. We conclude that subject-specific functional localizers are particularly well suited for investigating questions of functional specialization in the brain. An SPM toolbox that can perform all of the analyses described in this paper is publicly available, and the analyses can be applied retroactively to any dataset, provided that multiple runs were acquired per subject, even if no explicit “localizer” task was included. ► Inter-subject anatomical variability is problematic for traditional fMRI analyses. ► Functional localizers drastically improve sensitivity and functional resolution. ► Traditional group analyses benefit very little from SNR improvements in fMRI. ► A novel method: extending functional localizers to whole-brain analyses ► An SPM toolbox for easily performing subject-specific analyses
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2012.06.065