Group analysis and the subject factor in functional magnetic resonance imaging: Analysis of fifty right-handed healthy subjects in a semantic language task

Before considering a given fMRI paradigm as a valid clinical tool, one should first assess the reliability of functional responses across subjects by establishing a normative database and defining a reference activation map that identifies major brain regions involved in the task at hand. However, t...

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Published inHuman brain mapping Vol. 29; no. 4; pp. 461 - 477
Main Authors Seghier, Mohamed L., Lazeyras, François, Pegna, Alan J., Annoni, Jean-Marie, Khateb, Asaid
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.04.2008
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Abstract Before considering a given fMRI paradigm as a valid clinical tool, one should first assess the reliability of functional responses across subjects by establishing a normative database and defining a reference activation map that identifies major brain regions involved in the task at hand. However, the definition of such a reference map can be hindered by inter‐individual functional variability. In this study, we analysed functional data obtained from 50 healthy subjects during a semantic language task to assess the influence of the number of subjects on the reference map and to characterise inter‐individual functional variability. We first compared different group analysis approaches and showed that the extent of the activated network depends not only on the choice of the analysis approach but also on the statistical threshold used and the number of subjects included. This analysis suggested that, while the RFX analysis is suitable to detect confidently true positive activations, the other group approaches are useful for exploratory investigations in small samples. The application of quantitative measures at the voxel and regional levels suggested that while ∼15–20 subjects were sufficient to reveal reliable and robust left hemisphere activations, >30 subjects were necessary for revealing more variable and weak right hemisphere ones. Finally, to visualise inter‐individual variability, we combined two similarity indices that assess the percentages of true positive and false negative voxels in individual activation patterns relative to the group map. We suggest that these measures can be used for the estimation of the degree of ‘normality’ of functional responses in brain‐damaged patients, where this question is often raised, and recommend the use of different quantifications to appreciate accurately the inter‐individual functional variability that can be incorporated in group maps. Hum Brain Mapp 2008. © 2007 Wiley‐Liss, Inc.
AbstractList Before considering a given fMRI paradigm as a valid clinical tool, one should first assess the reliability of functional responses across subjects by establishing a normative database and defining a reference activation map that identifies major brain regions involved in the task at hand. However, the definition of such a reference map can be hindered by inter-individual functional variability. In this study, we analysed functional data obtained from 50 healthy subjects during a semantic language task to assess the influence of the number of subjects on the reference map and to characterise inter-individual functional variability. We first compared different group analysis approaches and showed that the extent of the activated network depends not only on the choice of the analysis approach but also on the statistical threshold used and the number of subjects included. This analysis suggested that, while the RFX analysis is suitable to detect confidently true positive activations, the other group approaches are useful for exploratory investigations in small samples. The application of quantitative measures at the voxel and regional levels suggested that while approximately 15-20 subjects were sufficient to reveal reliable and robust left hemisphere activations, >30 subjects were necessary for revealing more variable and weak right hemisphere ones. Finally, to visualise inter-individual variability, we combined two similarity indices that assess the percentages of true positive and false negative voxels in individual activation patterns relative to the group map. We suggest that these measures can be used for the estimation of the degree of 'normality' of functional responses in brain-damaged patients, where this question is often raised, and recommend the use of different quantifications to appreciate accurately the inter-individual functional variability that can be incorporated in group maps.
Before considering a given fMRI paradigm as a valid clinical tool, one should first assess the reliability of functional responses across subjects by establishing a normative database and defining a reference activation map that identifies major brain regions involved in the task at hand. However, the definition of such a reference map can be hindered by inter‐individual functional variability. In this study, we analysed functional data obtained from 50 healthy subjects during a semantic language task to assess the influence of the number of subjects on the reference map and to characterise inter‐individual functional variability. We first compared different group analysis approaches and showed that the extent of the activated network depends not only on the choice of the analysis approach but also on the statistical threshold used and the number of subjects included. This analysis suggested that, while the RFX analysis is suitable to detect confidently true positive activations, the other group approaches are useful for exploratory investigations in small samples. The application of quantitative measures at the voxel and regional levels suggested that while ∼15–20 subjects were sufficient to reveal reliable and robust left hemisphere activations, >30 subjects were necessary for revealing more variable and weak right hemisphere ones. Finally, to visualise inter‐individual variability, we combined two similarity indices that assess the percentages of true positive and false negative voxels in individual activation patterns relative to the group map. We suggest that these measures can be used for the estimation of the degree of ‘normality’ of functional responses in brain‐damaged patients, where this question is often raised, and recommend the use of different quantifications to appreciate accurately the inter‐individual functional variability that can be incorporated in group maps. Hum Brain Mapp 2008. © 2007 Wiley‐Liss, Inc.
Before considering a given fMRI paradigm as a valid clinical tool, one should first assess the reliability of functional responses across subjects by establishing a normative database and defining a reference activation map that identifies major brain regions involved in the task at hand. However, the definition of such a reference map can be hindered by inter-individual functional variability. In this study, we analysed functional data obtained from 50 healthy subjects during a semantic language task to assess the influence of the number of subjects on the reference map and to characterise inter-individual functional variability. We first compared different group analysis approaches and showed that the extent of the activated network depends not only on the choice of the analysis approach but also on the statistical threshold used and the number of subjects included. This analysis suggested that, while the RFX analysis is suitable to detect confidently true positive activations, the other group approaches are useful for exploratory investigations in small samples. The application of quantitative measures at the voxel and regional levels suggested that while 15-20 subjects were sufficient to reveal reliable and robust left hemisphere activations, >30 subjects were necessary for revealing more variable and weak right hemisphere ones. Finally, to visualise inter-individual variability, we combined two similarity indices that assess the percentages of true positive and false negative voxels in individual activation patterns relative to the group map. We suggest that these measures can be used for the estimation of the degree of normality of functional responses in brain-damaged patients, where this question is often raised, and recommend the use of different quantifications to appreciate accurately the inter-individual functional variability that can be incorporated in group maps. Hum Brain Mapp 2008.
Before considering a given fMRI paradigm as a valid clinical tool, one should first assess the reliability of functional responses across subjects by establishing a normative database and defining a reference activation map that identifies major brain regions involved in the task at hand. However, the definition of such a reference map can be hindered by inter-individual functional variability. In this study, we analysed functional data obtained from 50 healthy subjects during a semantic language task to assess the influence of the number of subjects on the reference map and to characterise inter-individual functional variability. We first compared different group analysis approaches and showed that the extent of the activated network depends not only on the choice of the analysis approach but also on the statistical threshold used and the number of subjects included. This analysis suggested that, while the RFX analysis is suitable to detect confidently true positive activations, the other group approaches are useful for exploratory investigations in small samples. The application of quantitative measures at the voxel and regional levels suggested that while approximately 15-20 subjects were sufficient to reveal reliable and robust left hemisphere activations, >30 subjects were necessary for revealing more variable and weak right hemisphere ones. Finally, to visualise inter-individual variability, we combined two similarity indices that assess the percentages of true positive and false negative voxels in individual activation patterns relative to the group map. We suggest that these measures can be used for the estimation of the degree of 'normality' of functional responses in brain-damaged patients, where this question is often raised, and recommend the use of different quantifications to appreciate accurately the inter-individual functional variability that can be incorporated in group maps.Before considering a given fMRI paradigm as a valid clinical tool, one should first assess the reliability of functional responses across subjects by establishing a normative database and defining a reference activation map that identifies major brain regions involved in the task at hand. However, the definition of such a reference map can be hindered by inter-individual functional variability. In this study, we analysed functional data obtained from 50 healthy subjects during a semantic language task to assess the influence of the number of subjects on the reference map and to characterise inter-individual functional variability. We first compared different group analysis approaches and showed that the extent of the activated network depends not only on the choice of the analysis approach but also on the statistical threshold used and the number of subjects included. This analysis suggested that, while the RFX analysis is suitable to detect confidently true positive activations, the other group approaches are useful for exploratory investigations in small samples. The application of quantitative measures at the voxel and regional levels suggested that while approximately 15-20 subjects were sufficient to reveal reliable and robust left hemisphere activations, >30 subjects were necessary for revealing more variable and weak right hemisphere ones. Finally, to visualise inter-individual variability, we combined two similarity indices that assess the percentages of true positive and false negative voxels in individual activation patterns relative to the group map. We suggest that these measures can be used for the estimation of the degree of 'normality' of functional responses in brain-damaged patients, where this question is often raised, and recommend the use of different quantifications to appreciate accurately the inter-individual functional variability that can be incorporated in group maps.
Author Annoni, Jean-Marie
Lazeyras, François
Seghier, Mohamed L.
Pegna, Alan J.
Khateb, Asaid
AuthorAffiliation 1 Department of Radiology, Geneva University Hospitals, Geneva, Switzerland
3 Laboratory of Experimental Neuropsychology, Department of Neurology, Geneva University Hospitals, Geneva, Switzerland
4 Department of Neurology, Neuropsychology Unit, Geneva University Hospitals, Geneva, Switzerland
5 Geneva Neuroscience Center, University of Geneva, Geneva, Switzerland
2 Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, London, United Kingdom
AuthorAffiliation_xml – name: 1 Department of Radiology, Geneva University Hospitals, Geneva, Switzerland
– name: 2 Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, London, United Kingdom
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Issue 4
Keywords semantic categorisation
Sample size
Variability
clinical fMRI
Language
Semantics
Left hemisphere
gold standard map
Random effect
language areas
group analysis
Human
Cartography
Nervous system diseases
Factor analysis
Healthy subject
Radiodiagnosis
left hemisphere lateralisation
Functional analysis
Nuclear magnetic resonance imaging
Hand
fixed and random effects
inter-individual variability
functional magnetic resonance imaging
Functional imaging
Language English
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Swiss National Science Foundation - No. 3151A0-102271/1; No. 3200BO-100717/1
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AAYXX
PublicationCentury 2000
PublicationDate April 2008
PublicationDateYYYYMMDD 2008-04-01
PublicationDate_xml – month: 04
  year: 2008
  text: April 2008
PublicationDecade 2000
PublicationPlace Hoboken
PublicationPlace_xml – name: Hoboken
– name: New York, NY
– name: United States
PublicationTitle Human brain mapping
PublicationTitleAlternate Hum. Brain Mapp
PublicationYear 2008
Publisher Wiley Subscription Services, Inc., A Wiley Company
Wiley-Liss
Publisher_xml – name: Wiley Subscription Services, Inc., A Wiley Company
– name: Wiley-Liss
References Raz A, Lieber B, Soliman F, Buhle J, Posner J, Peterson BS, Posner MI ( 2005): Ecological nuances in functional magnetic resonance imaging (fMRI): Psychological stressors, posture, and hydrostatics. Neuroimage 25: 1-7.
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Hugdahl K, Gundersen H, Brekke C, Thomsen T, Rimol LM, Ersland L, Niemi J ( 2004): FMRI brain activation in a Finnish family with specific language impairment compared with a normal control group. J Speech Lang Hear Res 47: 162-172.
Strother SC, Lange N, Anderson JR, Schaper KA, Rehm K, Hansen LK, Rottenberg DA ( 1997): Activation pattern reproducibility: Measuring the effects of group size and data analysis models. Hum Brain Mapp 5: 312-316.
Billingsley RL, McAndrews MP, Crawley AP, Mikulis DJ ( 2001): Functional MRI of phonological and semantic processing in temporal lobe epilepsy. Brain 124: 1218-1227.
Xu XJ, Zhang MM, Shang DS, Wang QD, Luo BY, Weng XC ( 2004): Cortical language activation in aphasia: A functional MRI study. Chin Med J 117: 1011-1016.
Hennig J, Speck O, Koch MA, Weiller C ( 2003): Functional magnetic resonance imaging: A review of methodological aspects and clinical applications. J Magn Reson Imaging 18: 1-15.
Cao Y, Vikingstad EM, George KP, Johnson AF, Welch KM ( 1999): Cortical language activation in stroke patients recovering from aphasia with functional MRI. Stroke 30: 2331-2340.
Pizzamiglio L, Galati G, Committeri G ( 2001): The contribution of functional neuroimaging to recovery after brain damage: A review. Cortex 37: 11-31.
Chee MW, Buckner RL, Savoy RL ( 1998): Right hemisphere language in a neurologically normal dextral: A fMRI study. Neuroreport 9: 3499-3502.
Powell HW, Koepp MJ, Richardson MP, Symms MR, Thompson PJ, Duncan JS ( 2004): The application of functional MRI of memory in temporal lobe epilepsy: A clinical review. Epilepsia 45: 855-863.
Otzenberger H, Gounot D, Marrer C, Namer IJ, Metz-Lutz MN ( 2005): Reliability of individual functional MRI brain mapping of language. Neuropsychology 19: 484-493.
Johnstone T, Ores Walsh KS, Greischar LL, Alexander AL, Fox AS, Davidson RJ, Oakes TR ( 2006): Motion correction and the use of motion covariates in multiple-subject fMRI analysis. Hum Brain Mapp 27: 779-788.
Desmond JE, Chen ASH ( 2002): Ethical issues in the clinical application of fMRI: Factors affecting the validity and interpretation of activations. Brain Cogn 50: 482-497.
Forman SD, Cohen JD, Fitzgerald M, Eddy WF, Mintun MA, Noll DC ( 1995): Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): Use of a cluster-size threshold. Magn Reson Med 33: 636-647.
Friston KJ, Holmes AP, Worsley KJ ( 1999b): How many subjects constitute a study? Neuroimage 10: 1-5.
Woods RP ( 1996): Modeling for intergroup comparisons of imaging data. Neuroimage 4: S84-S94.
Thulborn KR, Carpenter PA, Just MA ( 1999): Plasticity of language-related brain function during recovery from stroke. Stroke 30: 749-754.
Lazar NA, Luna B, Sweeney JA, Eddy WF ( 2002): Combining brains: A survey of methods for statistical pooling of information. Neuroimage 16: 538-550.
Seghier M, Lazeyras F, Momjian S, Annoni J-M, de Tribolet N, Khateb A ( 2001): Language representation in a patient with a dominant right hemisphere: fMRI evidence for an intrahemispheric reorganisation. NeuroReport 12: 2785-2790.
Lange N, Strother SC, Anderson JR, Nielsen FA, Holmes AP, Kolenda T, Savoy R, Hansen LK ( 1999): Plurality and resemblance in fMRI data analysis. Neuroimage 10: 282-303.
Liou M, Su H-R, Lee J-D, Cheng PE, Huang C-C, Tsai C-H ( 2003): Bridging functional MR images and scientific inference: Reproducibility maps. J Cogn Neurosci 15: 935-945.
Friston KJ, Williams S, Howard R, Frackowiak RS, Turner R ( 1996): Movement-related effects in fMRI time-series. Magn Reson Med 35: 346-355.
Thulborn KR, Davis D, Erb P, Strojwas M, Sweeney JA ( 1996): Clinical fMRI: Implementation and experience. Neuroimage 4: S101-S107.
Skudlarski P, Constable RT, Gore JC ( 1999): ROC analysis of statistical methods used in functional MRI: Individual subjects. Neuroimage 9: 311-329.
Lehéricy S, Cohen L, Bazin B, Samson S, Giacomini E, Rougetet R, Hertz-Pannier L, Le Bihan D, Marsault C, Baulac M ( 2000): Function MR evaluation of temporal and frontal language dominance compared with the Wada test. Neurology 54: 1625-1633.
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Wager TD, Keller MC, Lacey SC, Jonides J ( 2005): Increased sensitivity in neuroimaging analyses using robust regression. Neuroimage 26: 99-113.
Bosch V ( 2000): Statistical analysis of multi-subject fMRI data: Assessment of focal activations. J Magn Reson Imaging 11: 61-64.
Detre JA, Floyd TF ( 2001): Functional MRI and its applications to the clinical neurosciences. Neuroscientist 7: 64-79.
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Edwards JD, Pexman PM, Goodyear BG, Chambers CG ( 2005): An fMRI investigation of strategies for word recognition. Brain Res Cogn Brain Res 24: 648-662.
Nadeau SE, Williamson DJ, Crosson B, Gonzalez Rothi LJ, Heilman KM ( 1998): Functional imaging: Heterogeneity in task strategy and functional anatomy and the case for individual analysis. Neuropsychiatry Neuropsychol Behav Neurol 11: 83-96.
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Khateb A, Martory M-D, Annoni J-M, Lazeyras F, de Tribolet N, Pegna AJ, Mayer E, Michel CM, Seghier ML ( 2004): Transient crossed aphasia evidenced by functional brain imagery. NeuroReport 15: 785-790.
Zhang H, Luo WL, Nichols TE ( 2006): Diagnosis of single-subject and group fMRI data with SPMd. Hum Brain Mapp 27: 442-451.
Herholz K, Thiel A, Wienhard K, Pietrzyk U, von Stockhausen HM, Karbe H, Kessler J, Bruckbauer T, Halber M, Heiss WD ( 1996): Individual functional anatomy of verb generation. Neuroimage 3: 185-194.
Maldjian JA, Laurienti PJ, Driskill L, Burdette JH ( 2002): Multiple reproducibility indices for evaluation of cognitive functional MR imaging paradigms. AJNR Am J Neuroradiol 23: 1030-1037.
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Szaflarski JP, Holland SK, Schmithorst VJ, Byars AW ( 2006): fMRI study of language lateralization in children and adults. Hum Brain Mapp 27: 202-212.
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References_xml – reference: Otzenberger H, Gounot D, Marrer C, Namer IJ, Metz-Lutz MN ( 2005): Reliability of individual functional MRI brain mapping of language. Neuropsychology 19: 484-493.
– reference: Skudlarski P, Constable RT, Gore JC ( 1999): ROC analysis of statistical methods used in functional MRI: Individual subjects. Neuroimage 9: 311-329.
– reference: Smith SM, Beckmann CF, Ramnani N, Woolrich MW, Bannister PR, Jenkinson M, Matthews PM, McGonigle DJ ( 2005): Variability in fMRI: A re-examination of inter-session differences. Hum Brain Mapp 24: 248-257.
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– reference: Friston KJ, Williams S, Howard R, Frackowiak RS, Turner R ( 1996): Movement-related effects in fMRI time-series. Magn Reson Med 35: 346-355.
– reference: Kherif F, Poline JP, Mériaux S, Benali H, Flandin G, Brett M ( 2003): Group analysis in functional neuroimaging: Selecting subjects using similarity measures. Neuroimage 20: 2197-2208.
– reference: Tzourio-Mazoyer N, Josse G, Crivello F, Mazoyer B ( 2004): Interindividual variability in the hemispheric organization for speech. Neuroimage 21: 422-435.
– reference: Cao Y, Vikingstad EM, George KP, Johnson AF, Welch KM ( 1999): Cortical language activation in stroke patients recovering from aphasia with functional MRI. Stroke 30: 2331-2340.
– reference: Chee MW, Buckner RL, Savoy RL ( 1998): Right hemisphere language in a neurologically normal dextral: A fMRI study. Neuroreport 9: 3499-3502.
– reference: Holmes AP, Friston KJ ( 1998): Generalisability, random effects and population inference. Neuroimage 7: S754.
– reference: Hugdahl K, Gundersen H, Brekke C, Thomsen T, Rimol LM, Ersland L, Niemi J ( 2004): FMRI brain activation in a Finnish family with specific language impairment compared with a normal control group. J Speech Lang Hear Res 47: 162-172.
– reference: Buchel C, Turner R, Friston KJ ( 1997): Lateral geniculate activations can be detected using intersubject averaging and fMRI. Magn Reson Med 38: 691-694.
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– reference: Bosch V ( 2000): Statistical analysis of multi-subject fMRI data: Assessment of focal activations. J Magn Reson Imaging 11: 61-64.
– reference: Szaflarski JP, Holland SK, Schmithorst VJ, Byars AW ( 2006): fMRI study of language lateralization in children and adults. Hum Brain Mapp 27: 202-212.
– reference: Thulborn KR, Davis D ( 2001): Quality assurance for clinical fMRI. Curr Protocols Magn Reson Imaging A 6, 1-4.
– reference: Detre JA, Floyd TF ( 2001): Functional MRI and its applications to the clinical neurosciences. Neuroscientist 7: 64-79.
– reference: Billingsley RL, McAndrews MP, Crawley AP, Mikulis DJ ( 2001): Functional MRI of phonological and semantic processing in temporal lobe epilepsy. Brain 124: 1218-1227.
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– reference: Pugh KR, Shaywitz BA, Shaywitz SE, Constable RT, Skudlarski P, Fulbright RK, Bronen RA, Shankweiler DP, Katz L, Fletcher JM, Gore JC ( 1996): Cerebral organization of component processes in reading. Brain 119: 1221-1238.
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– reference: Lazar NA, Luna B, Sweeney JA, Eddy WF ( 2002): Combining brains: A survey of methods for statistical pooling of information. Neuroimage 16: 538-550.
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– reference: Jackson GD, Connelly A, Cross JH, Gordon I, Gadian DG ( 1994): Functional magnetic resonance imaging of focal seizures. Neurology 44: 850-856.
– reference: Zhang H, Luo WL, Nichols TE ( 2006): Diagnosis of single-subject and group fMRI data with SPMd. Hum Brain Mapp 27: 442-451.
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– reference: Hennig J, Speck O, Koch MA, Weiller C ( 2003): Functional magnetic resonance imaging: A review of methodological aspects and clinical applications. J Magn Reson Imaging 18: 1-15.
– reference: Strother SC, Lange N, Anderson JR, Schaper KA, Rehm K, Hansen LK, Rottenberg DA ( 1997): Activation pattern reproducibility: Measuring the effects of group size and data analysis models. Hum Brain Mapp 5: 312-316.
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– reference: Seghier M, Lazeyras F, Momjian S, Annoni J-M, de Tribolet N, Khateb A ( 2001): Language representation in a patient with a dominant right hemisphere: fMRI evidence for an intrahemispheric reorganisation. NeuroReport 12: 2785-2790.
– reference: Wenz F, Schad LR, Knopp MV, Baudendistel KT, Flomer F, Schroder J, van Kaick G ( 1994): Functional magnetic resonance imaging at 1.5 T: Activation pattern in schizophrenic patients receiving neuroleptic medication. Magn Reson Imaging 12: 975-982.
– reference: Pujol J, Deus J, Losilla JM, Capdevila A ( 1999): Cerebral lateralization of language in normal left-handed people studied by functional MRI. Neurology 52: 1038-1043.
– reference: Murphy K, Garavan H ( 2004): An empirical investigation into the number of subjects required for an event-related fMRI study. Neuroimage 22: 879-885.
– reference: Friston KJ, Holmes AP, Price CJ, Buchel C, Worsley KJ ( 1999a): Multisubject fMRI studies and conjunction analyses. Neuroimage 10: 385-396.
– reference: Liou M, Su H-R, Lee J-D, Cheng PE, Huang C-C, Tsai C-H ( 2003): Bridging functional MR images and scientific inference: Reproducibility maps. J Cogn Neurosci 15: 935-945.
– reference: Pizzamiglio L, Galati G, Committeri G ( 2001): The contribution of functional neuroimaging to recovery after brain damage: A review. Cortex 37: 11-31.
– reference: Edwards JD, Pexman PM, Goodyear BG, Chambers CG ( 2005): An fMRI investigation of strategies for word recognition. Brain Res Cogn Brain Res 24: 648-662.
– reference: Thulborn KR, Davis D, Erb P, Strojwas M, Sweeney JA ( 1996): Clinical fMRI: Implementation and experience. Neuroimage 4: S101-S107.
– reference: Loring DW, Meador KJ, Allison JD, Pillai JJ, Lavin T, Lee GP, Balan A, Dave V ( 2002): Now you see it, now you don't: Statistical and methodological considerations in fMRI. Epilepsy Behav 3: 539-547.
– reference: Woods RP ( 1996): Modeling for intergroup comparisons of imaging data. Neuroimage 4: S84-S94.
– reference: Johnstone T, Ores Walsh KS, Greischar LL, Alexander AL, Fox AS, Davidson RJ, Oakes TR ( 2006): Motion correction and the use of motion covariates in multiple-subject fMRI analysis. Hum Brain Mapp 27: 779-788.
– reference: Nadeau SE, Williamson DJ, Crosson B, Gonzalez Rothi LJ, Heilman KM ( 1998): Functional imaging: Heterogeneity in task strategy and functional anatomy and the case for individual analysis. Neuropsychiatry Neuropsychol Behav Neurol 11: 83-96.
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– reference: Rimol LM, Specht K, Hugdahl K ( 2006): Controlling for individual differences in fMRI brain activation to tones, syllables, and words. Neuroimage 30: 554-562.
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– reference: Wager TD, Keller MC, Lacey SC, Jonides J ( 2005): Increased sensitivity in neuroimaging analyses using robust regression. Neuroimage 26: 99-113.
– reference: Miller MB, Van Horn JD ( 2007): Individual variability in brain activations associated with episodic retrieval: A role for large-scale databases. Int J Psychophysiol 63: 205-213.
– reference: Forman SD, Cohen JD, Fitzgerald M, Eddy WF, Mintun MA, Noll DC ( 1995): Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): Use of a cluster-size threshold. Magn Reson Med 33: 636-647.
– reference: Khateb A, Martory M-D, Annoni J-M, Lazeyras F, de Tribolet N, Pegna AJ, Mayer E, Michel CM, Seghier ML ( 2004): Transient crossed aphasia evidenced by functional brain imagery. NeuroReport 15: 785-790.
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– reference: Talairach J, Tournoux P ( 1988): Co-Planar Stereotaxic Atlas of the Human Brain. New York: Thieme.
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Snippet Before considering a given fMRI paradigm as a valid clinical tool, one should first assess the reliability of functional responses across subjects by...
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StartPage 461
SubjectTerms Adult
Biological and medical sciences
Brain - anatomy & histology
Brain - physiology
Brain Injuries - diagnosis
Brain Mapping - methods
clinical fMRI
Data Interpretation, Statistical
Dominance, Cerebral - physiology
Electrodiagnosis. Electric activity recording
False Negative Reactions
False Positive Reactions
Female
fixed and random effects
functional magnetic resonance imaging
gold standard map
group analysis
Humans
Image Processing, Computer-Assisted
inter-individual variability
Investigative techniques, diagnostic techniques (general aspects)
Language
language areas
Language Tests
left hemisphere lateralisation
Magnetic Resonance Imaging - methods
Male
Medical sciences
Nerve Net - anatomy & histology
Nerve Net - physiology
Nervous system
Observer Variation
Radiodiagnosis. Nmr imagery. Nmr spectrometry
Sample Size
semantic categorisation
Semantics
Verbal Behavior - physiology
Title Group analysis and the subject factor in functional magnetic resonance imaging: Analysis of fifty right-handed healthy subjects in a semantic language task
URI https://api.istex.fr/ark:/67375/WNG-PX6V1JFB-H/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fhbm.20410
https://www.ncbi.nlm.nih.gov/pubmed/17538950
https://www.proquest.com/docview/20694638
https://www.proquest.com/docview/70401549
https://pubmed.ncbi.nlm.nih.gov/PMC6870607
Volume 29
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