Analysis of functional image analysis contest (FIAC) data with brainvoyager QX: From single‐subject to cortically aligned group general linear model analysis and self‐organizing group independent component analysis
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The Functional Image Analysis Contest (FIAC) 2005 dataset was analyzed using BrainVoyager QX. First, we performed a standard analysis of the functional and anatomical data that includes preprocessing, spatial normalization into Talairach space, hypothesis‐driven statistics (one‐ and two‐factorial, single‐subject and group‐level random effects, General Linear Model [GLM]) of the block‐ and event‐related paradigms. Strong sentence and weak speaker group‐level effects were detected in temporal and frontal regions. Following this standard analysis, we performed single‐subject and group‐level (Talairach‐based) Independent Component Analysis (ICA) that highlights the presence of functionally connected clusters in temporal and frontal regions for sentence processing, besides revealing other networks related to auditory stimulation or to the default state of the brain. Finally, we applied a high‐resolution cortical alignment method to improve the spatial correspondence across brains and re‐run the random effects group GLM as well as the group‐level ICA in this space. Using spatially and temporally unsmoothed data, this cortex‐based analysis revealed comparable results but with a set of spatially more confined group clusters and more differential group region of interest time courses. Hum. Brain Mapp, 2006. © 2006 Wiley‐Liss, Inc.
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Multisubject statistical maps were corrected for multiple comparisons using false-discovery rate or cluster-size thresholding.
“Depending on the specificity of the contrast, multisubject statistical maps were corrected for multiple comparisons using the false-discovery rate (Genovese et al., 2002) or cluster-size thresholding (Forman et al., 1995;Goebel et al., 2006).”
From Deviant processing of letters and speech sounds as proximate cause of reading failure: A functional magnetic resonance imaging study of dyslexic children. (2010) · cites this paper as Goebel et al., 2006
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- Authors
- Goebel, R., Esposito, F., & Formisano, E.
- Affiliations
- Maastricht University (NL)
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2006-04-04
- Volume
- 27
- Issue
- 5
- Pages
- 392-401
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6871277
- OpenAlex
- W2125299581
- Cited by
- 1,053
- References
- 24
- Citations by year
- 2026: 22 · 2025: 17 · 2024: 18 · 2023: 29 · 2022: 25 · 2021: 31 · 2020: 43 · 2019: 48 · 2018: 59 · 2017: 68 · 2016: 70 · 2015: 78 · 2014: 82 · 2013: 98 · 2012: 96
- FWCI
- 17.33
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- random effects, independent component analysis, sentence processing, temporal lobe, frontal cortex, default mode network, auditory stimulation, functional connectivity
- MeSH terms
- Algorithms, Brain Mapping, Cerebral Cortex, Frontal Lobe, Humans, Image Processing, Computer-Assisted, Language, Language Tests, Magnetic Resonance Imaging, Nerve Net, Software, Speech Perception, Temporal Lobe, Verbal Behavior, Reproducibility of Results, Cohort Studies, Linear Models, Principal Component Analysis
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