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Statistical parametric mapping [[electronic resource] ] : the analysis of functional brain images / / edited by Karl Friston ... [et al.]
| Statistical parametric mapping [[electronic resource] ] : the analysis of functional brain images / / edited by Karl Friston ... [et al.] |
| Pubbl/distr/stampa | London, : Academic, 2007 |
| Descrizione fisica | 1 online resource (689 p.) |
| Disciplina | 611.810222 |
| Altri autori (Persone) | FristonK. J (Karl J.) |
| Soggetto topico |
Brain - Imaging - Mathematical models
Brain mapping Statistics - Graphic methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-72899-X
9786610728992 0-08-046650-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Statistical Parametric Mapping; Copyright Page; Table of Contents; Acknowledgements; Part 1 Introduction; Chapter 1 A short history of SPM; INTRODUCTION; THE PET YEARS; THE fMRI YEARS; THE MEG-EEG YEARS; REFERENCES; Chapter 2 Statistical parametric mapping; INTRODUCTION; SPATIAL TRANSFORMS AND COMPUTATIONAL ANATOMY; STATISTICAL PARAMETRIC MAPPING AND THE GENERAL LINEAR MODEL; TOPOLOGICAL INFERENCE AND THE THEORY OF RANDOM FIELDS; EXPERIMENTAL AND MODEL DESIGN; INFERENCE IN HIERARCHICAL MODELS; CONCLUSION; REFERENCES; Chapter 3 Modelling brain responses; INTRODUCTION
ANATOMICAL MODELSSTATISTICAL MODELS; MODELS OF FUNCTIONAL INTEGRATION; CONCLUSION; REFERENCES; Part 2 Computational anatomy; Chapter 4 Rigid Body Registration; INTRODUCTION; RE-SAMPLING IMAGES; RIGID BODY TRANSFORMATIONS; WITHIN-MODALITY RIGID REGISTRATION; BETWEEN-MODALITY RIGID REGISTRATION; REFERENCES; Chapter 5 Non-linear Registration; INTRODUCTION; OBJECTIVE FUNCTIONS; LARGE DEFORMATION APPROACHES; ESTIMATING THE MAPPINGS; SPATIAL NORMALIZATION IN THE SPM SOFTWARE; EVALUATION STRATEGIES; REFERENCES; Chapter 6 Segmentation; INTRODUCTION; THE OBJECTIVE FUNCTION; OPTIMIZATION; REFERENCES Chapter 7 Voxel-Based MorphometryINTRODUCTION; PREPARING THE DATA; STATISTICAL MODELLING AND INFERENCE; REFERENCES; Part 3 General linear models; Chapter 8 The General Linear Model; INTRODUCTION; THE GENERAL LINEAR MODEL; INFERENCE; PET AND BASIC MODELS; fMRI MODELS; APPENDIX 8.1 THE AUTOREGRESSIVE MODEL OF ORDER 1 PLUS WHITE NOISE; APPENDIX 8.2 THE SATTERTHWAITE APPROXIMATION; REFERENCES; Chapter 9 Contrasts and Classical Inference; INTRODUCTION; CONSTRUCTING MODELS What should be included in the model?; CONSTRUCTING AND TESTING CONTRASTS; CONSTRUCTING AND TESTING F-CONTRASTS CORRELATION BETWEEN REGRESSORSDESIGN COMPLEXITY; SUMMARY; APPENDIX 9.1 NOTATION; APPENDIX 9.2 SUBSPACES; APPENDIX 9.3 ORTHOGONAL PROJECTION; REFERENCES; Chaper 10 Covariance Components; INTRODUCTION; SOME MATHEMATICAL EQUIVALENCES; ESTIMATING COVARIANCE COMPONENTS; CONCLUSION; REFERENCES; Chapter 11 Hierarchical Models; INTRODUCTION; TWO-LEVEL MODELS; PARAMETRIC EMPIRICAL BAYES; NUMERICAL EXAMPLE; BELIEF PROPAGATION; DISCUSSION; REFERENCES; Chapter 12 Random Effects Analysis; INTRODUCTION; RANDOM EFFECTS ANALYSIS; FIXED EFFECTS ANALYSIS; PARAMETRIC EMPIRICAL BAYES; PET DATA EXAMPLE fMRI DATA EXAMPLEDISCUSSION; APPENDIX 12.1 EXPECTATIONS AND TRANSFORMATIONS; REFERENCES; Chapter 13 Analysis of Variance; INTRODUCTION; ONE-WAY BETWEEN-SUBJECT ANOVA; ONE-WAY WITHIN-SUBJECT ANOVA; TWO-WAY WITHIN-SUBJECT ANOVAs; GENERALIZATION TO M-WAY ANOVAs; fMRI BASIS FUNCTIONS; DISCUSSION; APPENDIX 13.1 THE KRONECKER PRODUCT; APPENDIX 13.2 WITHIN-SUBJECT MODELS; REFERENCES; Chapter 14 Convolution Models for fMRI; INTRODUCTION; THE HAEMODYNAMIC RESPONSE FUNCTION (HRF); TEMPORAL BASIS FUNCTIONS; TEMPORAL FILTERING AND AUTOCORRELATION; NON-LINEAR CONVOLUTION MODELS; A WORKED EXAMPLE REFERENCES |
| Record Nr. | UNINA-9910458645703321 |
| London, : Academic, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical parametric mapping : the analysis of functional brain images / / editors, Karl Friston [et al.]
| Statistical parametric mapping : the analysis of functional brain images / / editors, Karl Friston [et al.] |
| Pubbl/distr/stampa | London : , : Academic, , 2007 |
| Descrizione fisica | 1 online resource (689 pages) : illustrations |
| Disciplina | 611.810222 |
| Altri autori (Persone) | FristonK. J (Karl J.) |
| Soggetto topico |
Brain - Imaging - Mathematical models
Brain mapping Statistics - Graphic methods |
| ISBN |
1-280-72899-X
9786610728992 0-08-046650-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Statistical Parametric Mapping; Copyright Page; Table of Contents; Acknowledgements; Part 1 Introduction; Chapter 1 A short history of SPM; INTRODUCTION; THE PET YEARS; THE fMRI YEARS; THE MEG-EEG YEARS; REFERENCES; Chapter 2 Statistical parametric mapping; INTRODUCTION; SPATIAL TRANSFORMS AND COMPUTATIONAL ANATOMY; STATISTICAL PARAMETRIC MAPPING AND THE GENERAL LINEAR MODEL; TOPOLOGICAL INFERENCE AND THE THEORY OF RANDOM FIELDS; EXPERIMENTAL AND MODEL DESIGN; INFERENCE IN HIERARCHICAL MODELS; CONCLUSION; REFERENCES; Chapter 3 Modelling brain responses; INTRODUCTION
ANATOMICAL MODELS; STATISTICAL MODELS; MODELS OF FUNCTIONAL INTEGRATION; CONCLUSION; REFERENCES; Part 2 Computational anatomy; Chapter 4 Rigid Body Registration; INTRODUCTION; RE-SAMPLING IMAGES; RIGID BODY TRANSFORMATIONS; WITHIN-MODALITY RIGID REGISTRATION; BETWEEN-MODALITY RIGID REGISTRATION; REFERENCES; Chapter 5 Non-linear Registration; INTRODUCTION; OBJECTIVE FUNCTIONS; LARGE DEFORMATION APPROACHES; ESTIMATING THE MAPPINGS; SPATIAL NORMALIZATION IN THE SPM SOFTWARE; EVALUATION STRATEGIES; REFERENCES; Chapter 6 Segmentation; INTRODUCTION; THE OBJECTIVE FUNCTION; OPTIMIZATION; REFERENCES Chapter 7 Voxel-Based Morphometry; INTRODUCTION; PREPARING THE DATA; STATISTICAL MODELLING AND INFERENCE; REFERENCES; Part 3 General linear models; Chapter 8 The General Linear Model; INTRODUCTION; THE GENERAL LINEAR MODEL; INFERENCE; PET AND BASIC MODELS; fMRI MODELS; APPENDIX 8.1 THE AUTOREGRESSIVE MODEL OF ORDER 1 PLUS WHITE NOISE; APPENDIX 8.2 THE SATTERTHWAITE APPROXIMATION; REFERENCES; Chapter 9 Contrasts and Classical Inference; INTRODUCTION; CONSTRUCTING MODELS What should be included in the model?; CONSTRUCTING AND TESTING CONTRASTS; CONSTRUCTING AND TESTING F-CONTRASTS CORRELATION BETWEEN REGRESSORS; DESIGN COMPLEXITY; SUMMARY; APPENDIX 9.1 NOTATION; APPENDIX 9.2 SUBSPACES; APPENDIX 9.3 ORTHOGONAL PROJECTION; REFERENCES; Chaper 10 Covariance Components; INTRODUCTION; SOME MATHEMATICAL EQUIVALENCES; ESTIMATING COVARIANCE COMPONENTS; CONCLUSION; REFERENCES; Chapter 11 Hierarchical Models; INTRODUCTION; TWO-LEVEL MODELS; PARAMETRIC EMPIRICAL BAYES; NUMERICAL EXAMPLE; BELIEF PROPAGATION; DISCUSSION; REFERENCES; Chapter 12 Random Effects Analysis; INTRODUCTION; RANDOM EFFECTS ANALYSIS; FIXED EFFECTS ANALYSIS; PARAMETRIC EMPIRICAL BAYES; PET DATA EXAMPLE fMRI DATA EXAMPLE; DISCUSSION; APPENDIX 12.1 EXPECTATIONS AND TRANSFORMATIONS; REFERENCES; Chapter 13 Analysis of Variance; INTRODUCTION; ONE-WAY BETWEEN-SUBJECT ANOVA; ONE-WAY WITHIN-SUBJECT ANOVA; TWO-WAY WITHIN-SUBJECT ANOVAs; GENERALIZATION TO M-WAY ANOVAs; fMRI BASIS FUNCTIONS; DISCUSSION; APPENDIX 13.1 THE KRONECKER PRODUCT; APPENDIX 13.2 WITHIN-SUBJECT MODELS; REFERENCES; Chapter 14 Convolution Models for fMRI; INTRODUCTION; THE HAEMODYNAMIC RESPONSE FUNCTION (HRF); TEMPORAL BASIS FUNCTIONS; TEMPORAL FILTERING AND AUTOCORRELATION; NON-LINEAR CONVOLUTION MODELS; A WORKED EXAMPLE; REFERENCES |
| Record Nr. | UNINA-9910784658203321 |
| London : , : Academic, , 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical parametric mapping : the analysis of functional brain images / / edited by Karl Friston ... [et al.]
| Statistical parametric mapping : the analysis of functional brain images / / edited by Karl Friston ... [et al.] |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | London, : Academic, 2007 |
| Descrizione fisica | 1 online resource (689 pages) : illustrations |
| Disciplina | 611.810222 |
| Altri autori (Persone) | FristonK. J (Karl J.) |
| Soggetto topico |
Brain - Imaging - Mathematical models
Brain mapping Statistics - Graphic methods |
| ISBN |
1-280-72899-X
9786610728992 0-08-046650-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Statistical Parametric Mapping; Copyright Page; Table of Contents; Acknowledgements; Part 1 Introduction; Chapter 1 A short history of SPM; INTRODUCTION; THE PET YEARS; THE fMRI YEARS; THE MEG-EEG YEARS; REFERENCES; Chapter 2 Statistical parametric mapping; INTRODUCTION; SPATIAL TRANSFORMS AND COMPUTATIONAL ANATOMY; STATISTICAL PARAMETRIC MAPPING AND THE GENERAL LINEAR MODEL; TOPOLOGICAL INFERENCE AND THE THEORY OF RANDOM FIELDS; EXPERIMENTAL AND MODEL DESIGN; INFERENCE IN HIERARCHICAL MODELS; CONCLUSION; REFERENCES; Chapter 3 Modelling brain responses; INTRODUCTION
ANATOMICAL MODELS; STATISTICAL MODELS; MODELS OF FUNCTIONAL INTEGRATION; CONCLUSION; REFERENCES; Part 2 Computational anatomy; Chapter 4 Rigid Body Registration; INTRODUCTION; RE-SAMPLING IMAGES; RIGID BODY TRANSFORMATIONS; WITHIN-MODALITY RIGID REGISTRATION; BETWEEN-MODALITY RIGID REGISTRATION; REFERENCES; Chapter 5 Non-linear Registration; INTRODUCTION; OBJECTIVE FUNCTIONS; LARGE DEFORMATION APPROACHES; ESTIMATING THE MAPPINGS; SPATIAL NORMALIZATION IN THE SPM SOFTWARE; EVALUATION STRATEGIES; REFERENCES; Chapter 6 Segmentation; INTRODUCTION; THE OBJECTIVE FUNCTION; OPTIMIZATION; REFERENCES Chapter 7 Voxel-Based Morphometry; INTRODUCTION; PREPARING THE DATA; STATISTICAL MODELLING AND INFERENCE; REFERENCES; Part 3 General linear models; Chapter 8 The General Linear Model; INTRODUCTION; THE GENERAL LINEAR MODEL; INFERENCE; PET AND BASIC MODELS; fMRI MODELS; APPENDIX 8.1 THE AUTOREGRESSIVE MODEL OF ORDER 1 PLUS WHITE NOISE; APPENDIX 8.2 THE SATTERTHWAITE APPROXIMATION; REFERENCES; Chapter 9 Contrasts and Classical Inference; INTRODUCTION; CONSTRUCTING MODELS What should be included in the model?; CONSTRUCTING AND TESTING CONTRASTS; CONSTRUCTING AND TESTING F-CONTRASTS CORRELATION BETWEEN REGRESSORS; DESIGN COMPLEXITY; SUMMARY; APPENDIX 9.1 NOTATION; APPENDIX 9.2 SUBSPACES; APPENDIX 9.3 ORTHOGONAL PROJECTION; REFERENCES; Chaper 10 Covariance Components; INTRODUCTION; SOME MATHEMATICAL EQUIVALENCES; ESTIMATING COVARIANCE COMPONENTS; CONCLUSION; REFERENCES; Chapter 11 Hierarchical Models; INTRODUCTION; TWO-LEVEL MODELS; PARAMETRIC EMPIRICAL BAYES; NUMERICAL EXAMPLE; BELIEF PROPAGATION; DISCUSSION; REFERENCES; Chapter 12 Random Effects Analysis; INTRODUCTION; RANDOM EFFECTS ANALYSIS; FIXED EFFECTS ANALYSIS; PARAMETRIC EMPIRICAL BAYES; PET DATA EXAMPLE fMRI DATA EXAMPLE; DISCUSSION; APPENDIX 12.1 EXPECTATIONS AND TRANSFORMATIONS; REFERENCES; Chapter 13 Analysis of Variance; INTRODUCTION; ONE-WAY BETWEEN-SUBJECT ANOVA; ONE-WAY WITHIN-SUBJECT ANOVA; TWO-WAY WITHIN-SUBJECT ANOVAs; GENERALIZATION TO M-WAY ANOVAs; fMRI BASIS FUNCTIONS; DISCUSSION; APPENDIX 13.1 THE KRONECKER PRODUCT; APPENDIX 13.2 WITHIN-SUBJECT MODELS; REFERENCES; Chapter 14 Convolution Models for fMRI; INTRODUCTION; THE HAEMODYNAMIC RESPONSE FUNCTION (HRF); TEMPORAL BASIS FUNCTIONS; TEMPORAL FILTERING AND AUTOCORRELATION; NON-LINEAR CONVOLUTION MODELS; A WORKED EXAMPLE; REFERENCES |
| Record Nr. | UNINA-9910821257903321 |
| London, : Academic, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
