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How Many Subjects Constitute a Study?
Abstract
In fMRI there are two classes of inference: one aims to make a comment about the "typical" characteristics of a population, and the other about "average" characteristics. The first pertains to studies of normal subjects that try to identify some qualitative aspect of normal functional anatomy. The second class necessarily applies to clinical neuroscience studies that want to make an inference about quantitative differences of a regionally specific nature. The first class of inferences is adequately serviced by conjunction analyses and fixed-effects models with relatively small numbers of subjects. The second requires random-effect analyses and larger cohorts.
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“However, small sample sizes can be informative about typicality of a feature in a population, when features are identified in the majority of cases sampled[18].”
From In vivo PET imaging of neuroinflammation in familial frontotemporal dementia (2021) · cites this paper as [18]
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“Next, a random effects model was performed to make group statistical inferences (Friston et al., 1999a), and contrasts (described below) were applied using a false detection rate correction (Genovese et al., 2002) at p b 0.05.”
InfluentialTaniwaki, T., Okayama, A., Yoshiura, T., Togao, O., Nakamura, Y., Yamasaki, T., Ogata, K., Shigeto, H., Ohyagi, Y., Kira, J., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.027 · Cited by 65
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“Firstly, to investigate the behaviour of the fMRI response in patients and controls, one-sample t tests were performed for each contrast in each group using a random-effects approach [21, 22].”
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“Statistical inferences In order to compare the generic activations associated with each of the three groups, a two-stage random effects analysis was used for each hypothesis tested (Friston et al., 1999).”
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How does the brain accommodate to increased task difficulty in word finding?
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Fronto-parietal regulation of media violence exposure in adolescents: a multi-method study
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“A GLM corrected for first-order serial correlation was applied (Friston et al., 1999).”
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Krüeger, F., Landgraf, S., van der Meer, E. E., Deshpande, G., & Hu, X. P. (2010) · Human Brain Mapping · doi:10.1002/hbm.21119 · Cited by 59
“A General Linear Model (GLM) corrected for first-order serial correlation was applied [Friston et al., 1999].”
MethodSaito, D. N., Okada, T., Honda, M., Yonekura, Y., & Sadato, N. (2006) · BMC Neuroscience · doi:10.1186/1471-2202-7-79 · Cited by 61
“Second, the summary data of each individual were incorporated into the second-level analysis using a random effects model [27]; this was used to make inferences at a population level regarding the task-related activation within each group and the differences between the groups.”
Amemiya, K., & Naito, E. (2016) · Cortex · doi:10.1016/j.cortex.2016.01.017 · Cited by 60
Tanaka, M. (2015) · Anatomy & Physiology · doi:10.4172/2161-0940.s4-002 · Cited by 59
“The weighted sum of the parameters estimated in the individual analyses consisted of “contrast” images, which were used for the group analyses [21].”
MethodInfluentialSeghier, M. L., Lazeyras, F., Pegna, A. J., Annoni, J., & Khateb, A. (2007) · Human Brain Mapping · doi:10.1002/hbm.20410 · Cited by 60
“…the effect of the number of subjects (N-sub) necessary in a functional study to make inferences about the typical activation in a given task and population [Desmond and Glover, 2002; Friston et al., 1999b; Grabowski et al., 1996; Kiehl et al., 2005; Murphy and Garavan, 2004; Strother et al., 1997].”
BackgroundNeural effect of mental fatigue on physical fatigue: A magnetoencephalography study
Tanaka, M., Ishii, A., & Watanabe, Y. (2013) · Brain Research · doi:10.1016/j.brainres.2013.10.018 · Cited by 58
“Significant signal changes for each contrast were assessed by means of t statistics on a voxel-byvoxel basis (Friston et al., 1999).”
InfluentialItem analysis in functional magnetic resonance imaging
Bedny, M., Aguirre, G. K., & Thompson‐Schill, S. L. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.01.039 · Cited by 57
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BackgroundMethodDio, C. D., Cesare, G. D., Higuchi, S., Roberts, N., Vogt, S., & Rizzolatti, G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.026 · Cited by 63
“Data were analyzed using a random-effects model (Friston et al., 1999), implemented in a two-level procedure.”
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“The GLM framework has been used to explore group effects by combining the single-subject analyses using spatial normalization [Penny and Holmes, 2004] for the purpose of making population level inferences [Friston et al., 1999; Worsley et al., 2002].”
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Canessa, N., Motterlini, M., Dio, C. D., Perani, D., Scifo, P., Cappa, S. F., & Rizzolatti, G. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007402 · Cited by 58
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“These dSPM maps were averaged across subjects after aligning their cortical surfaces, resulting in dynamic activation maps which can be interpreted as estimates of the of signal-to-noise at each point on the cortical surface, and thus analogous to the ‘‘z-score maps’’ often displayed in fMRI analyses (Friston et al. 1…”
Whole-agent selectivity within the macaque face-processing system
Fisher, C., & Freiwald, W. A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1512378112 · Cited by 57
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“These interpretations should be seen in light of the fact that the PPI analysis was exploratory in nature and that our two key amygdala findings were not consistent as the correlation between condition-specific differences in BOLD activity and pain-related fear was observed in the right amygdala whereas the condition-…”
InfluentialReinders, A. A. T. S., den Boer, J. A., & Büchel, C. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04212.x · Cited by 56
A supramodal limbic‐paralimbic‐neocortical network supports goal‐directed stimulus processing
Laurens, K. R., Kiehl, K. A., & Liddle, P. F. (2004) · Human Brain Mapping · doi:10.1002/hbm.20062 · Cited by 58
Neurophysiological and anatomical considerations in functional imaging of pain
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MethodMeyer, B. M., Rabl, U., Huemer, J., Bartova, L., Kalcher, K., Provenzano, J., Brandner, C., Sezen, P., Kasper, S., Schatzberg, A. F., et al. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0395-8 · Cited by 52
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“This two-stage random effects analysis enables inferences based on these contrasts to be extended to the general population from which the subjects were drawn (Friston, Holmes, & Worsley, 1999 ).”
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“Activations at the group level were obtained using a fixed-effect analysis following guidelines provided in (Friston et al., 1999).”
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“For the group data, a random effects analysis was performed (Friston et al. 1999).”
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Shirao, N., Okamoto, Y., Mantani, T., Okamoto, Y., & Yamawaki, S. (2005) · The British Journal of Psychiatry · doi:10.1192/bjp.186.1.48 · Cited by 54
“Using group analysis according to a random effect model that allowed inference to the general population (Friston et al, 1999), we first identified brain regions that showed a significantly greater response to unpleasant word sets in comparison with the response to neutral word sets among 4…”
MethodCortical and subcortical contributions to saccade latency in the human brain
Neggers, S. F. W., Raemaekers, M. A. H., Lampmann, E. E. L., Postma, A., & Ramsey, N. F. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04129.x · Cited by 57
Scarpazza, C., Sartori, G., Simone, M. S. D., & Mechelli, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.12.045 · Cited by 56
“…size was chosen for two main reasons: firstly, a typical neuroimaging study of regional differences includes 12–16 subjects per experimental group (Friston et al., 1999); secondly, a recent analysis of effect size in classical inference has suggested that, in order to optimize the sensitivity to…”
BackgroundThe somatosensory representation of the human clitoris: An fMRI study
Michels, L., Mehnert, U., Boy, S., Schurch, B., & Kollias, S. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.07.024 · Cited by 52
“The Talairach transformed contrast images were entered into a group-level random-effect analysis (Friston et al., 1999), i.”
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Hesse, M. D., Thiel, C. M., Stephan, K. E., & Fink, G. R. (2006) · Neuroscience · doi:10.1016/j.neuroscience.2006.03.030 · Cited by 50
Spets, D. S., & Slotnick, S. D. (2020) · Cognitive Neuroscience · doi:10.1080/17588928.2020.1806810 · Cited by 50
“…prescribed medication that may alter brain function), 3) fewer than 8 female and 8 male participants were included in the analysis (c.f., Friston et al., 1999), 4) female and male brain activity was not directly compared, 5) there were any confounds, or 6) a whole-brain analysis was not…”
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“The PET images were preprocessed including anatomical standardization and global normalization to 50 ml/100 g/min, using the SPM2 statistical package (Wellcome Foundation, London), [Frackowiak, 2004; Friston et al., 1999; Savic et al., 2000, 2001].”
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Han, S. (2003) · Brain · doi:10.1093/brain/awh071 · Cited by 50
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“Group analyses were investigated using fixed-effect analysis (FFX) (recommended by Friston et al., 1999a), which infers ''typical'' characteristics about the sample of participants.”
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“The number of subjects in the study was relatively large (n1⁄433) and considerably above the number considered sufficient for fMRI studies of this nature [13], suggesting that the lack of strong significant differences is unlikely to be due to lack of statistical power.”
Motor imagery in spinal cord injury patients: Moving makes the difference
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“Differently our study involved a larger sample, possibly allowing more sensitivity (Friston, Holmes, & Worsley, 1999).”
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“Indeed group analysis can be very informative in identifying common regions of activity for a given task, and there has been much effort in determining the most appropriate method of group analysis for a variety of experimental situations (Friston et al., 1999).”
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Eickhoff, S. B., Schleicher, A., Scheperjans, F., Palomero‐Gallagher, N., & Zilles, K. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.016 · Cited by 44
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“At the single subject level, voxel-wise fixed effect contrast analyses were performed followed by random effect analyses at the group level using a general linear model to create SPM contrast maps [15].”
Lord, L.-D., Allen, P., Expert, P., Howes, O. D., Broome, M. R., Lambiotte, R., Fusar‐Poli, P., Valli, I., McGuire, P. K., & Turkheimer, F. (2012) · NeuroImage Clinical · doi:10.1016/j.nicl.2012.09.008 · Cited by 48
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ResultWolbers, T., Schoell, E. D., Verleger, R., Kraft, S., McNamara, A. J., Jaśkowskí, P., & Büchel, C. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj029 · Cited by 44
“At the group level, a random effects approach was applied ( Friston et al., 1999 ).”
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“Images were analyzed using a two-stage random-effects approach (Friston et al. 1999).”
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“A randomeffects analysis was used, so that any inferences drawn from the data can be applied to the general population (Friston et al., 1999).”
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“Whilst the statistical power of functional magnetic resonance imaging (fMRI) data was shown to be relatively robust with small sample sizes (Friston et al. 1999), this is not the case for neuropsychological data.”
BackgroundMirroring the Social Aspects of Speech and Actions: The Role of the Insula
Cesare, G. D., Marchi, M., Errante, A., Fasano, F., & Rizzolatti, G. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx051 · Cited by 43
“Data were analyzed using a random-effects model (Friston et al. 1999), implemented in a 2-level procedure.”
MethodSeparability of calcium slow waves and functional connectivity during wake, sleep, and anesthesia
Brier, L. M., Landsness, E. C., Snyder, A. Z., Wright, P. W., Baxter, G. A., Bauer, A. Q., Lee, J., & Culver, J. P. (2019) · Neurophotonics · doi:10.1117/1.nph.6.3.035002 · Cited by 48
Neural correlates of syntactic transformations
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The left inferior parietal lobe represents stored hand-postures for object use and action prediction
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“After estimation, beta values were taken to the second level for random effects analysis (Friston et al., 1999).”
MethodNambu, I., Hagura, N., Hirose, S., Wada, Y., Kawato, M., & Naito, E. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.13063 · Cited by 43
“Then, to accommodate interparticipant variability, the images representing preparation-related and execution-related brain activity obtained from all participants were entered into a random effect group analysis with a one-sample t-test (13 degrees of freedom) (Friston et al., 1999).”
MethodIn vivo PET imaging of neuroinflammation in familial frontotemporal dementia
Malpetti, M., Rittman, T., Jones, P. S., Cope, T. E., Passamonti, L., Bevan-Jones, W. R., Patterson, K., Fryer, T. D., Hong, Y. T., Aigbirhio, F. I., et al. (2021) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-323698 · Cited by 43
A functional magnetic resonance imaging study of paced finger tapping in children
Rivkin, M. J., Vajapeyam, S., Hutton, C., Weiler, M. D., Hall, E., Wolraich, D., Yoo, S. S., Mulkern, R. V., Forbes, P. W., Wolff, P. H., et al. (2003) · Pediatric Neurology · doi:10.1016/s0887-8994(02)00492-7 · Cited by 43
Kurosaki, M., Shirao, N., Yamashita, H., Okamoto, Y., & Yamawaki, S. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.06.039 · Cited by 43
Spoken language comprehension activates the primary visual cortexPreprint
Seydell‐Greenwald, A., Wang, X., Newport, E. L., Bi, Y., & Striem-Amit, E. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.02.408765 · Cited by 43
“random effects analysis (RFX GLM; (Friston et al., 1999)).”
MethodOverlapping functional anatomy for working memory and visual search
Anderson, E. J., Mannan, S., Rees, G. E., Sumner, P., & Kennard, C. (2009) · Experimental Brain Research · doi:10.1007/s00221-009-2000-5 · Cited by 43
“For the group, a random-eVects analysis was employed (Friston et al. 1999), so that any inferences drawn from the data can be applied to the general population.”
Sabbah, N., Authié, C., Sanda, N., Mohand‐Saïd, S., Sahel, J., Safran, A. B., Habas, C., & Amedi, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.056 · Cited by 39
Suppression of brain activity related to a car-following task with an auditory task: An fMRI study
Uchiyama, Y., Toyoda, H., Sakai, H., Shin, D., Ebe, K., & Sadato, N. (2011) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2011.11.002 · Cited by 42
“Group analysis with a random-effect model The weighted sum of the parameter estimates in the individual analysis constituted ‘‘contrast’’ images, which were used for group analyses (Friston et al., 1999).”
MethodNoun–verb naming in aphasia: a voxel-based lesion-symptom mapping study
Piras, F., & Marangolo, P. (2007) · Neuroreport · doi:10.1097/wnr.0b013e3282ef6fc9 · Cited by 43
“Normalization of each participant’s MRI to a common spatial framework was performed using SPM99 software (Wellcome Department of Cognitive Neurology, London, UK), implemented in MATLAB (The MathWorks Inc, Natick, Massachusetts, USA), through an automatic nonlinear stereotaxic normalization procedure [12], and restrict…”
MethodSugiura, M., Friston, K. J., Willmes, K., Shah, N. J., Zilles, K., & Fink, G. R. (2006) · Human Brain Mapping · doi:10.1002/hbm.20256 · Cited by 41
“This intersubject variability obviously reduces the sensitivity of conventional intersubject analyses [Friston et al., 1999; Holmes and Friston, 1998; Wei et al., 2004] because these between-subject effects are treated as noise.”
BackgroundSelf-citationCortical representation of hearing restoration in patients with sudden deafness
Suzuki, M., Kouzaki, H., Nishida, Y., et al. (2002) · Neuroreport · doi:10.1097/00001756-200210070-00029 · Cited by 41
Beißner, F., & Henke, C. (2009) · Evidence-based Complementary and Alternative Medicine · doi:10.1093/ecam/nep154 · Cited by 41
“It has long been known, that FFX suffers from a high susceptibility to outliers, that is, single subjects with strong activations, as it only accounts for within-subject variance [38].”
BackgroundLorey, B., Naumann, T., Pilgramm, S., Petermann, C., Bischoff, M., Zentgraf, K., Stark, R. M., Vaitl, D., & Munzert, J. (2013) · Human Brain Mapping · doi:10.1002/hbm.22246 · Cited by 40
“…in animal studies on whether the cortical motor system has evolved primarily for the organization of different actions rather than for movement control [Gallese et al., 1996; Graziano and Aflalo, 2007; Kohler et al., 2002; Rizzolatti et al., 1988; see, for a review, Fernandino and Iacoboni, 2010].”
BackgroundA neurocognitive approach to brand memory
Ratnayake, N., Broderick, A. J., & Mitchell, R. L. C. (2010) · Journal of Marketing Management · doi:10.1080/0267257x.2010.522531 · Cited by 39
“Given the relatively small sample size of the study, random-effects (‘second-level’) analyses were not appropriate (Friston, Holmes, & Worsley, 1999 ), thus, strictly speaking, our inferences relate only to the seven participants sampled (Penny, Holmes, & Friston, 2003 ).”
BackgroundThe Context of Uncertainty Modulates the Subcortical Response to Predictability
Bischoff‐Grethe, A., Martin, M. M., Mao, H., & Berns, G. S. (2001) · Journal of Cognitive Neuroscience · doi:10.1162/089892901753165881 · Cited by 38
Brain Activity During the Encoding, Retention, and Retrieval of Stimulus RepresentationsPreprint
de Zubicaray, G. I., McMahon, K. L., Wilson, S. J., & Muthiah, S. (2001) · Learning & Memory · doi:10.1101/lm.40301 · Cited by 39
“Previous imaging investigations of pattern encoding have reported similar premotor cortex activity, and it has been proposed that this activity may subserve short-term maintenance of visuospatial in-”
BackgroundMiyake, Y., Okamoto, Y., Onoda, K., Shirao, N., Okamoto, Y., & Yamawaki, S. (2012) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2011.07.014 · Cited by 38
“Group analyses were conducted according to a random effect model that permitted inferences to the general population (Friston et al., 1999).”
MethodVitality Forms Processing in the Insula during Action Observation: A Multivoxel Pattern Analysis
Cesare, G. D., Valente, G., Dio, C. D., Ruffaldi, E., Bergamasco, M., Goebel, R., & Rizzolatti, G. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00267 · Cited by 38
“Data were analyzed using a random-effects model (Friston et al., 1999), implemented in a two-level procedure.”
MethodLow putamen activity associated with poor reward sensitivity in childhood chronic fatigue syndrome
Mizuno, K., Kawatani, J., Tajima, K., Sasaki, A. T., Yoneda, T., Komi, M., Hirai, T., Tomoda, A., Joudoi, T., & Watanabe, Y. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.09.016 · Cited by 40
“The total score for the 11-item fatigue scale ranges from 0 to 33, with higher scores indicating greater fatigue.”
BackgroundCombined visual attention and finger movement effects on human brain representations
Indovina, I., & Sanes, J. N. (2001) · Experimental Brain Research · doi:10.1007/s002210100796 · Cited by 40
“Images were analyzed using a two-stage approach based on a random-effect model (Friston et al. 1999).”
MethodActivity of right premotor-parietal regions dependent upon imagined force level: an fMRI study
Mizuguchi, N., Nakata, H., & Kanosue, K. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00810 · Cited by 39
“After the fMRI measurements, the subjects were moved outside of the MRI room, where they were again asked to match their force of grasping to the required % MVC for five trials with a hand dynamometer.”
MethodStrenziok, M., Krueger, F., Heinecke, A., Lenroot, R. K., Knutson, K. M., van der Meer, E., & Grafman, J. (2011) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsp036 · Cited by 38
“A general linear model (GLM) corrected for first-order serial correlation was applied (Friston et al., 1999).”
MethodPsychological Structure and Neural Correlates of Event Knowledge
Wood, J. N., Knutson, K. M., & Grafman, J. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhh215 · Cited by 38
“…images for each comparison or effect were entered into second-level random effects analyses — these take into account intersubject variability, eliminate the possibility of one subject skewing the results, and allow inferences to be made regarding the population in general (Friston et al., 1999).”
BackgroundThe Integration of Colour and Motion by the Human Visual Brain
Self, M. W., & Zeki, S. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhi010 · Cited by 38
“As we were uncertain whether adaptation effects might be reliably found in individual subjects, we changed our approach from a fixedeffects analysis to a random effects approach (RFX) where activations were assessed in relation to their variability across subjects (Friston et al., 1999).”
Topographical functional connectivity patterns exist in the congenitally, prelingually deaf
Striem-Amit, E., Almeida, J., Belledonne, M., Chen, Q., Fang, Y., Han, Z., Caramazza, A., & Bi, Y. (2016) · Scientific Reports · doi:10.1038/srep29375 · Cited by 39
“This was computed both at the individual level, as well as in a group analysis (n = 11 for the deaf, n = 15 for the normally hearing) using a GLM in a hierarchical random effects (RFX) analysis 133 .”
MethodActivity of attention related structures in multiple sclerosis patients
Nebel, K., Wiese, H., Seyfarth, J., Gizewski, E. R., Stude, P., Diener, H., & Limmroth, V. (2007) · Brain Research · doi:10.1016/j.brainres.2007.03.007 · Cited by 37
Nakamura, K., Oga, T., Okada, T., Sadato, N., Takayama, Y., Wydell, T. N., Yonekura, Y., & Fukuyama, H. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.11.055 · Cited by 37
“Random effect analysis (Friston et al., 1999) was used for the group-based statistical inference.”
MethodRamon, M., Dricot, L., & Rossion, B. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07405.x · Cited by 37
“…inferences, we note that tests of fixed effects analyses can indeed be meaningful in terms of allowing inferences about typical characteristics at the population level, via the use of conjunction (separate subject) analyses for relatively small numbers of subjects (see Friston et al., 1999).”
BackgroundStone, W. S., Thermenos, H. W., Tarbox, S. I., Poldrack, R. A., & Seidman, L. J. (2004) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2004.07.009 · Cited by 37
Sparse imaging and continuous event‐related fMRI in the visual domain: A systematic comparison
Nebel, K., Stude, P., Wiese, H., et al. (2004) · Human Brain Mapping · doi:10.1002/hbm.20075 · Cited by 37
“For the latter purpose, a randomeffects analysis was carried out, allowing for inference on the population level [Friston et al., 1999a,b].”
MethodPost-mortem validation of in vivo TSPO PET as a microglial biomarker
Wijesinghe, S. S., Rowe, J. B., Mason, H. D., Allinson, K. S. J., Thomas, R., Vontobel, D. S., Fryer, T. D., Hong, Y. T., Bacioglu, M., Spillantini, M. G., et al. (2025) · Brain · doi:10.1093/brain/awaf078 · Cited by 37
“29 Our study lacked power to confirm the mild effects of age and sex on TSPO radioligand binding, 6,30 but we note that the relationship between the PET and CD68 signals was present in all participants, regardless of age and sex.”
Variational Bayesian mixed-effects inference for classification studies
Brodersen, K. H., Jean Daunizeau, A., Mathys, C. D., Chumbley, J. R., Buhmann, J. M., & Stephan, K. E. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.008 · Cited by 35
“…linear model (GLM), where early fi xed-effects models were soon replaced by random-effects and full mixed-effects approaches that have since become standards in the fi eld (Beckmann et al., 2003; Friston et al., 1999, 2005; Holmes and Friston, 1998; Mumford and Nichols, 2009; Woolrich et al., 2004).”
Background
Metadata
- Authors
- Friston, K. J., Holmes, A. P., & Worsley, K. J.
- Affiliations
- National Hospital for Neurology and Neurosurgery (GB)
- ORCID
- Friston, Karl J.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 1999-07
- Volume
- 10
- Issue
- 1
- Pages
- 1-5
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1966363088
- Cited by
- 814
- References
- 0
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 3 · 2023: 7 · 2022: 9 · 2021: 8 · 2020: 17 · 2019: 13 · 2018: 10 · 2017: 15 · 2016: 31 · 2015: 27 · 2014: 22 · 2013: 35 · 2012: 30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- sample size, functional MRI, statistical inference, population inference, fixed effects model, random effects models, conjunction analysis, clinical neuroscience, functional anatomy, cohort size
- MeSH terms
- Data Interpretation, Statistical, Humans, Magnetic Resonance Imaging, Research Design, Models, Statistical, Cohort Studies, Patient Selection
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