Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses
By Bertrand Thirion, Philippe Pinel, S. Mériaux, Alexis Roche, Stanislas Dehaene, Jean-Baptiste Poline. NeuroImage, 2007
581 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/00d67c5d3808ee55c655ce4de79a4fde8ae693d8
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In Cognitive Neuroscience
In Radiology, Nuclear Medicine and Imaging
- Yong He
- Alan C. Evans
- Michael P. Milham
- Olaf Sporns
- Xi-Nian Zuo
- Yufeng Zang
- Jinhui Wang
- Bruce Fischl
Citations in the corpus
- Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans (2009, background): “One of the key characteristics of fMRI data, is their large intersubject variability, which may dramatically influence on the robustness of group analysis [60].”
- Statistical Analysis of Longitudinal Neuroimage Data with Linear Mixed Effects Models (2012, methodology): “To achieve this, we conducted two-group comparison analyses on the rates of HV loss in HC subjects and AD patients, using an empirical strategy inspired by (Thirion et al., 2007).”
- Cognitive Neuroscience Approaches to Individual Differences in Working Memory and Executive Control: Conceptual and Methodological Issues (2010, methodology): “…a conventionally adequate power level of .8 for this correlational test would require a sample size of 55—more than double that recommended by power studies that have focused on within-subject analyses (typically about n = 25; Desmond & Glover, 2002; Murphy & Garavan, 2004; Thirion et al., 2007).”
- Measuring structural-functional correspondence: Spatial variability of specialised brain regions after macro-anatomical alignment (2012, unknown): “…others, differences in the reporting of locus of activation due to different alignment and normalisation schemes, variability arising from different experimental paradigms and differences related to inconsistencies in analysis methods and thresholds used across studies (Thirion et al., 2007).”
- Groupwise whole-brain parcellation from resting-state fMRI data for network node identification (2013, unknown): “Analysis of a wide range of anatomic registration methods has also shown significant spatial mismatch (of the order of 1 cm) between subjects in many brain regions (Hellier et al., 2003; Thirion et al., 2007).”
- Deriving reproducible biomarkers from multi‐site resting‐state data: An Autism‐based example (2016, background): “Given the modest sample size of most R-fMRI studies, the effect of cross-study differences in data acquisition, image processing, and sampling strategies (Desmond and Glover, 2002; Murphy and Garavan, 2004; Thirion et al., 2007) has not been quantified.”
- Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies (2009, background): “For example, Thirion et al. (2007) investigate the reproducibility of statistical inference over different numbers of randomly-selected subjects from a pool of 80 subjects performing the same task.”
- The organization of the human cerebral cortex estimated by intrinsic functional connectivity. (2011, background): “folds do not completely predict cytoarchitecture or function (Rajkowska and Goldman-Rakic 1995; Thirion et al. 2007; Yeo et al. 2010b).”
- The effect of rehearsal rate and memory load on verbal working memory (2015, unknown): “P A A uthor M anuscript shown to be more normally distributed than raw beta values (Thirion et al., 2007).”
- The Observation and Execution of Actions Share Motor and Somatosensory Voxels in all Tested Subjects: Single-Subject Analyses of Unsmoothed fMRI Data (2008, background): “This helped preserve statistical power, a critical issue in neuroimaging (Thirion et al. 2007).”
- Template-O-Matic: A toolbox for creating customized pediatric templates (2008, background): “…scenarios: a small sample ( n =12, a typical scenario just sufficient for a random-effects study of functional MRI data; Friston et al., 1999; Thirion et al., 2007), and a larger sample ( n =48, typically aimed at investigating structural group differences; Roja et al., 2006; Campbell et…”
- Auditory verbal hallucinations predominantly activate the right inferior frontal area. (2008, background): “Since it has been shown that over 20 subjects are needed in a typical fMRI experiment to obtain appropriate reproducibility (Desmond et al., 2002; Thirion et al., 2007), we acquired fMRI scans of 24 psychotic patients while they were experiencing AVH.”
- Patient-specific detection of perfusion abnormalities combining within-subject and between-subject variances in Arterial Spin Labeling (2013, background): “Several authors outlined the benefits of heteroscedastic models including (Worsley et al., 2002; Beckmann et al., 2003; Wool-rich et al., 2004; Mumford et al., 2006; M´eriaux et al., 2006; Thirion et al., 2007; Chen et al., 2012).”
- Robust group analysis using outlier inference (2008, unknown): “approaches, not least their potential to better handle the multiple comparison problem when compared with random field theory (an issue that is beyond the scope of the article) (Thirion et al., 2007).”
- Breakdown of within- and between-network Resting State Functional Magnetic Resonance Imaging Connectivity during Propofol-induced Loss of Consciousness (2010, background): “A sample size of about 20 subjects has been suggested to be optimal to obtain reliable statistics in functional MRI studies at the group level.(77) The present work was performed on a sample of 19 healthy volunteers.”