Estimating sample size in functional MRI (fMRI) neuroimaging studies: statistical power analyses.

By John E. Desmond, Gary H. Glover. Journal of Neuroscience Methods, 2002

732 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/db4c959e5a791e88a4cad56f9c0f305ce41948b6

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Citations in the corpus

The relation between statistical power and inference in fMRI (2017, background): “Moreover, most recommendations (e.g., optimistic estimates from references [2,7] consider only the relatively high-powered case of within-subject experiments (see reference [6] for an overview of within-subject effect size estimates for several common experimental designs).”
Auditory verbal hallucinations predominantly activate the right inferior frontal area. (2008, background): “…Rating Scale; AVH=auditory verbal hallucinations; CASH=comprehensive assessment of symptoms and history; DLPFC=dorsolateral prefrontal cortex; FDR= false discovery rate; FWHM=full width at half maximum; PANSS=Positive and Negative Syndromes Scale; PSYRATS=Psychotic Symptom Rating Scales”
Health, USA Reviewed by: (2010, unknown): “This estimate is similar to the number indicated for typical mass-univariate analysis of voxel-wise activations (Desmond and Glover, 2002; Murphy and Garavan, 2004; Mumford and Nichols, 2008).”
Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses (2007, unknown): “Moreover, our ﬁnding conﬁrms earlier simulations and studies [Desmond and Glover, 2002, Murphy and Garavan, 2004].”
The neural circuitry of pre-attentive auditory change-detection: an fMRI study of pitch and duration mismatch negativity generators. (2005, result): “It is also worth noting that there has been a relatively high degree of variance in the cortical location of the frequency MMN across previous studies, most of which used fixed-effects designs and are therefore not generalizable to the population at large (Desmond and Glover, 2002).”
What Does the Brain Tell Us About Trust and Distrust? Evidence from a Functional Neuroimaging Study (2010, methodology): “The number of subjects was chosen to ensure adequate power of analysis for obtaining statistically significant brain activations (Desmond and Glover 2002).”
Effects of motivation on reward and attentional networks: an fMRI study (2012, background): “Others have suggested that interactions between motivation and performance are more nuanced and that reward incentives may have selective effects on cognitive processes.”
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.”
How long to scan? The relationship between fMRI temporal signal to noise ratio and necessary scan duration (2007, background): “The issue of optimizing these parameter has been approached in several studies: the number of subjects required (Desmond and Glover, 2002; Friston et al., 1999; Murphy and Garavan, 2004), the effects of experimental design on detection and response estimation (Birn et al.”
Cognitive Neuroscience Approaches to Individual Differences in Working Memory and Executive Control: Conceptual and Methodological Issues (2010, background): “…of studies have attempted to determine the number of subjects required in order to ensure an adequate level of power in mixed-model fMRI analyses (Desmond & Glover, 2002; Mumford & Nichols, 2008; Murphy & Garavan, 2004; Thirion et al., 2007), and these studies have focused exclusively on…”