Dataset Information

Creating probabilistic maps of the face network in the adolescent brain: a multicentre functional MRI study.

ABSTRACT: Large-scale magnetic resonance (MR) studies of the human brain offer unique opportunities for identifying genetic and environmental factors shaping the human brain. Here, we describe a dataset collected in the context of a multi-centre study of the adolescent brain, namely the IMAGEN Study. We focus on one of the functional paradigms included in the project to probe the brain network underlying processing of ambiguous and angry faces. Using functional MR (fMRI) data collected in 1,110 adolescents, we constructed probabilistic maps of the neural network engaged consistently while viewing the ambiguous or angry faces; 21 brain regions responding to faces with high probability were identified. We were also able to address several methodological issues, including the minimal sample size yielding a stable location of a test region, namely the fusiform face area (FFA), as well as the effect of acquisition site (eight sites) and scanner (four manufacturers) on the location and magnitude of the fMRI response to faces in the FFA. Finally, we provided a comparison between male and female adolescents in terms of the effect sizes of sex differences in brain response to the ambiguous and angry faces in the 21 regions of interest. Overall, we found a stronger neural response to the ambiguous faces in several cortical regions, including the fusiform face area, in female (vs. male) adolescents, and a slightly stronger response to the angry faces in the amygdala of male (vs. female) adolescents.

SUBMITTER: Tahmasebi AM

PROVIDER: S-EPMC6869899 | biostudies-literature | 2012 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Creating probabilistic maps of the face network in the adolescent brain: a multicentre functional MRI study.

Tahmasebi Amir M AM Artiges Eric E Banaschewski Tobias T Barker Gareth J GJ Bruehl Ruediger R Büchel Christian C Conrod Patricia J PJ Flor Herta H Garavan Hugh H Gallinat Jürgen J Heinz Andreas A Ittermann Bernd B Loth Eva E Mareckova Klara K Martinot Jean-Luc JL Poline Jean-Baptiste JB Rietschel Marcella M Smolka Michael N MN Ströhle Andreas A Schumann Gunter G Paus Tomáš T

Human brain mapping 20110317 4

Large-scale magnetic resonance (MR) studies of the human brain offer unique opportunities for identifying genetic and environmental factors shaping the human brain. Here, we describe a dataset collected in the context of a multi-centre study of the adolescent brain, namely the IMAGEN Study. We focus on one of the functional paradigms included in the project to probe the brain network underlying processing of ambiguous and angry faces. Using functional MR (fMRI) data collected in 1,110 adolescent ...[more]

PMID: 21416563

Similar Datasets

Project description:ObjectiveThe clinical diagnosis of corticobasal syndrome (CBS) represents a challenge for physicians and reliable diagnostic imaging biomarkers would support the diagnostic work-up. We aimed to investigate the neural signatures of CBS using multimodal T1-weighted and resting-state functional magnetic resonance imaging (MRI).MethodsNineteen patients with CBS (age 67.0 ± 6.0 years; mean±SD) and 19 matched controls (66.5 ± 6.0) were enrolled from the German Frontotemporal Lobar Degeneration Consortium. Changes in functional connectivity and structure were respectively assessed with eigenvector centrality mapping complemented by seed-based analysis and with voxel-based morphometry. In addition to mass-univariate statistics, multivariate support vector machine (SVM) classification tested the potential of multimodal MRI to differentiate patients and controls. External validity of SVM was assessed on independent CBS data from the 4RTNI database.ResultsA decrease in brain interconnectedness was observed in the right central operculum, middle temporal gyrus and posterior insula, while widespread connectivity increases were found in the anterior cingulum, medial superior-frontal gyrus and in the bilateral caudate nuclei. Severe and diffuse gray matter volume reduction, especially in the bilateral insula, putamen and thalamus, characterized CBS. SVM classification revealed that both connectivity (area under the curve 0.81) and structural abnormalities (0.80) distinguished CBS from controls, while their combination led to statistically non-significant improvement in discrimination power, questioning the additional value of functional connectivity over atrophy. SVM analyses based on structural MRI generalized moderately well to new data, which was decisively improved when guided by meta-analytically derived disease-specific regions-of-interest.ConclusionsOur data-driven results show impairment of functional connectivity and brain structure in CBS and explore their potential as imaging biomarkers.

Dataset Information

Creating probabilistic maps of the face network in the adolescent brain: a multicentre functional MRI study.

Publications

Creating probabilistic maps of the face network in the adolescent brain: a multicentre functional MRI study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets