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 in | Human brain mapping Vol. 29; no. 4; pp. 461 - 477 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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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. |
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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 – name: 4 Department of Neurology, Neuropsychology Unit, Geneva University Hospitals, Geneva, Switzerland – name: 3 Laboratory of Experimental Neuropsychology, Department of Neurology, Geneva University Hospitals, Geneva, Switzerland – name: 5 Geneva Neuroscience Center, University of Geneva, Geneva, Switzerland |
Author_xml | – sequence: 1 givenname: Mohamed L. surname: Seghier fullname: Seghier, Mohamed L. organization: Department of Radiology, Geneva University Hospitals, Geneva, Switzerland – sequence: 2 givenname: François surname: Lazeyras fullname: Lazeyras, François organization: Department of Radiology, Geneva University Hospitals, Geneva, Switzerland – sequence: 3 givenname: Alan J. surname: Pegna fullname: Pegna, Alan J. organization: Laboratory of Experimental Neuropsychology, Department of Neurology, Geneva University Hospitals, Geneva, Switzerland – sequence: 4 givenname: Jean-Marie surname: Annoni fullname: Annoni, Jean-Marie organization: Department of Neurology, Neuropsychology Unit, Geneva University Hospitals, Geneva, Switzerland – sequence: 5 givenname: Asaid surname: Khateb fullname: Khateb, Asaid email: asaid.khateb@hcuge.ch organization: Laboratory of Experimental Neuropsychology, Department of Neurology, Geneva University Hospitals, Geneva, Switzerland |
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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 |
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Artif Intell Med 2002; 16 2004; 21 2004; 22 2002; 14 2006; 30 1999a; 10 2002; 50 2000; 9 1995; 33 2004; 23 2002; 118 2003; 15 2003; 17 2003; 18 1999; 122 1997; 5 2005; 26 1996; 35 2005; 24 2005; 25 2001 2006; 27 2000; 54 2000; 11 1969; 43 2004; 35 1999; 10 1999; 52 2007; 63 1996; 4 2001; 12 1990; 90 1996; 3 1998; 11 1988 2001; 124 2004; 47 2004; 45 2002; 2 1994; 44 2002; 3 1999; 22 2003 1995; 7 1999; 9 2002; 25 2005; 19 2001; 7 2002; 23 2004; 15 1994; 12 1997; 38 2001; 37 1999; 30 1998; 7 2003; 61 2005; 18 2004; 117 2003; 20 1996; 119 1999b; 10 1998; 9 e_1_2_7_5_1 Cheetham AH (e_1_2_7_8_1) 1969; 43 e_1_2_7_3_1 e_1_2_7_9_1 e_1_2_7_7_1 e_1_2_7_19_1 e_1_2_7_60_1 e_1_2_7_17_1 e_1_2_7_62_1 e_1_2_7_15_1 e_1_2_7_41_1 e_1_2_7_13_1 e_1_2_7_43_1 e_1_2_7_66_1 e_1_2_7_11_1 e_1_2_7_45_1 e_1_2_7_68_1 e_1_2_7_26_1 Penny WD (e_1_2_7_47_1) 2003 e_1_2_7_49_1 e_1_2_7_28_1 Thulborn KR (e_1_2_7_64_1) 2001 Lehéricy S (e_1_2_7_32_1) 2000; 54 Xu XJ (e_1_2_7_73_1) 2004; 117 e_1_2_7_50_1 e_1_2_7_71_1 e_1_2_7_25_1 e_1_2_7_31_1 e_1_2_7_52_1 e_1_2_7_23_1 e_1_2_7_33_1 e_1_2_7_54_1 e_1_2_7_21_1 e_1_2_7_35_1 e_1_2_7_56_1 e_1_2_7_37_1 e_1_2_7_58_1 e_1_2_7_39_1 Nadeau SE (e_1_2_7_44_1) 1998; 11 Talairach J (e_1_2_7_63_1) 1988 e_1_2_7_6_1 Maldjian JA (e_1_2_7_38_1) 2002; 23 e_1_2_7_4_1 e_1_2_7_18_1 e_1_2_7_16_1 e_1_2_7_40_1 e_1_2_7_61_1 e_1_2_7_2_1 e_1_2_7_14_1 e_1_2_7_42_1 e_1_2_7_12_1 e_1_2_7_65_1 e_1_2_7_10_1 e_1_2_7_46_1 e_1_2_7_67_1 e_1_2_7_48_1 e_1_2_7_69_1 e_1_2_7_27_1 e_1_2_7_29_1 e_1_2_7_72_1 e_1_2_7_51_1 e_1_2_7_70_1 e_1_2_7_30_1 e_1_2_7_53_1 e_1_2_7_24_1 e_1_2_7_55_1 e_1_2_7_74_1 e_1_2_7_22_1 e_1_2_7_34_1 e_1_2_7_57_1 e_1_2_7_20_1 e_1_2_7_36_1 e_1_2_7_59_1 |
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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 |
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