The statistical analysis of functional MRI data:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York, NY
Springer
2008
|
| Series: | Statistics for biology and health
|
| Subjects: | |
| Online Access: | Inhaltstext Inhaltsverzeichnis |
| Physical Description: | XIV, 299 S. Ill., graph. Darst. |
| ISBN: | 0387781900 9780387781907 |
Staff View
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Contents
1 The Science
of
fMRI
. 1
1.1
A Quick Tour of the Brain
. 1
1.2
The Science of fMRI
. 3
1.2.1
Introduction to Magnetic Resonance
. 4
1.2.2
Acquiring MR Images
. 6
1.2.3
Relaxation
. 8
1.2.4
From
MRI
to fMRI
. 12
1.2.5
From Data to Image
. 14
2
Design of fMRI Experiments
. 17
2.1
Imaging Design Issues
. 17
2.1.1
Description of Parameters
. 17
2.1.2
How Are Resolution and Image Quality Affected by
Changes in the Parameters?
. 20
2.1.3
Filling in k-Space
. 23
2.2
Statistical Design Issues
. 26
2.2.1
Common Experimental Designs
. 26
2.2.2
Additional Issues
. 32
3
Noise and Data Preprocessing
. 37
3.1
Sources of Noise
. 37
3.2
Dealing with Noise by Manipulating the Scanning Environment
41
3.3
Preprocessing fMRI Data
. 43
3.4
Assessing the Effects of Preprocessing
. 50
4
Statistical Issues in fMRI Data Analysis
. 53
4.1
Characteristics of the Data
. 53
4.2
Detection or Estimation?
. 55
4.3
Thresholding
. 56
4.3.1
Is "Voxel Activation" the Right Criterion?
. 56
4.3.2
Reliability and Reproducibility of Activation
. 57
XII Contents
4.4
Multiple
Subjects
. 59
4.4.1
Consistency Across Subjects
. 59
4.5
Regional Versus Whole Brain Analysis
. 61
4.6
Summary of Statistical Challenges
. 63
5
Basic Statistical Analysis
. 65
5.1
Exploratory Data Analysis
. 65
5.2
Block Designs: Basic Analysis
. 66
5.3
Event-Related Designs: Basic Analysis
. 71
5.3.1
Parametric Approaches to the Estimation of the HRF
. 72
5.3.2
Nonparametric Approaches to the Estimation of the
HRF
. 75
5.3.3
Methods for Estimating the Delay of the Hemodynamic
Response
. 79
5.4
The General Linear Model
. 82
5.4.1
Some Implementation Issues
. 85
5.5
Methods for Combining Subjects
. 88
5.5.1
The Anatomical Question
. 88
5.5.2
The Statistical Question
. 92
6
Temporal, Spatial, and
Spatiotemporal
Models
.101
6.1
Temporal Models
.101
6.1.1
Time Domain Analysis
.102
6.1.2
Frequency Domain Analysis
.105
6.1.3
Effect of Ignoring Temporal Correlation
.109
6.2
Spatial Models
.110
6.2.1
Bayesian Spatial Models
.
Ill
6.2.2
Clustering for Spatial Modeling
.114
6.3
Spatiotemporal
Models
.115
6.3.1
Clustering fMRI Time Series
.116
6.3.2
Direct Modeling
.125
6.4
Software Issues
.132
7
Multivariate Approaches
.133
7.1
Description of Methods
.134
7.1.1
Principal Components Analysis
.134
7.1.2
Independent Components Analysis
.135
7.1.3
Canonical Correlation Analysis
.137
7.2
Multivariate Analyses
.137
7.2.1
Principal Components
.138
7.2.2
Independent Components
.143
7.2.3
Canonical Correlation
.153
7.3
Software Issues
.156
Contents XIII
8 Basis
Function Approaches
.157
8.1
Wavelets
.157
8.1.1
Creating Activation Maps with Wavelets
.159
8.1.2
Wavelets for Modeling
.161
8.1.3
Wavelet Resampling
.162
8.1.4
Assessing Wavelet Methods
.164
8.2
Basis Functions Informed by Anatomy and Physiology
.166
8.3
Summary
.170
9
Bayesian Methods in fMRI
.173
9.1
Fully
Bayes
Models
.175
9.2
Priors for fMRI Data
.180
9.3
Computation
.182
9.4
Conclusion
.185
10
Multiple Testing in fMRI: The Problem of "Thresholding"
187
10.1
Cluster Thresholds
.189
10.2
Random Field Theory
.191
10.3
Thresholds Obtained via Permutation
.193
10.4
Control of the False Discovery Rate
.195
10.5
An Ad Hoc Method
.197
10.6
Procedures Based on fMRI Time Series and the HRF
.198
10.7
Other Techniques
.200
10.8
Evaluation of Methods
.202
10.9
Other Issues
.205
lO.lOConclusion
.210
11
Additional Statistical Issues
.211
11.1
Whitening Versus Smoothing
.211
11.2
Functional and Effective Connectivity
.213
11.2.1
The Use of Correlation to Assess Connectivity
.214
11.2.2
Structural Equation Models
.219
11.2.3
Other Approaches
.221
11.2.4
Conclusion
.222
11.3
Model Selection
.222
11.4
Evaluation of Competing Methods
.224
11.5
Summary
.228
12
Case Study: Eye Motion Data
.231
12.1
Description of the Data
.231
12.2
Data Analysis
.232
12.3
Summary
.243
XIV Contents
A Survey of Major fMRI Software Packages
.249
A.I Analysis of Functional Neurolmages: AFNI
.249
A.2 Statistical Parametric Mapping: SPM
.250
A.3 Other Packages
.251
A.
4
Comparison of Imaging Software Packages
.252
В
Glossary of fMRI Terms
.255
References
.263
Index
.283 |
| adam_txt |
Contents
1 The Science
of
fMRI
. 1
1.1
A Quick Tour of the Brain
. 1
1.2
The Science of fMRI
. 3
1.2.1
Introduction to Magnetic Resonance
. 4
1.2.2
Acquiring MR Images
. 6
1.2.3
Relaxation
. 8
1.2.4
From
MRI
to fMRI
. 12
1.2.5
From Data to Image
. 14
2
Design of fMRI Experiments
. 17
2.1
Imaging Design Issues
. 17
2.1.1
Description of Parameters
. 17
2.1.2
How Are Resolution and Image Quality Affected by
Changes in the Parameters?
. 20
2.1.3
Filling in k-Space
. 23
2.2
Statistical Design Issues
. 26
2.2.1
Common Experimental Designs
. 26
2.2.2
Additional Issues
. 32
3
Noise and Data Preprocessing
. 37
3.1
Sources of Noise
. 37
3.2
Dealing with Noise by Manipulating the Scanning Environment
41
3.3
Preprocessing fMRI Data
. 43
3.4
Assessing the Effects of Preprocessing
. 50
4
Statistical Issues in fMRI Data Analysis
. 53
4.1
Characteristics of the Data
. 53
4.2
Detection or Estimation?
. 55
4.3
Thresholding
. 56
4.3.1
Is "Voxel Activation" the Right Criterion?
. 56
4.3.2
Reliability and Reproducibility of Activation
. 57
XII Contents
4.4
Multiple
Subjects
. 59
4.4.1
Consistency Across Subjects
. 59
4.5
Regional Versus Whole Brain Analysis
. 61
4.6
Summary of Statistical Challenges
. 63
5
Basic Statistical Analysis
. 65
5.1
Exploratory Data Analysis
. 65
5.2
Block Designs: Basic Analysis
. 66
5.3
Event-Related Designs: Basic Analysis
. 71
5.3.1
Parametric Approaches to the Estimation of the HRF
. 72
5.3.2
Nonparametric Approaches to the Estimation of the
HRF
. 75
5.3.3
Methods for Estimating the Delay of the Hemodynamic
Response
. 79
5.4
The General Linear Model
. 82
5.4.1
Some Implementation Issues
. 85
5.5
Methods for Combining Subjects
. 88
5.5.1
The Anatomical Question
. 88
5.5.2
The Statistical Question
. 92
6
Temporal, Spatial, and
Spatiotemporal
Models
.101
6.1
Temporal Models
.101
6.1.1
Time Domain Analysis
.102
6.1.2
Frequency Domain Analysis
.105
6.1.3
Effect of Ignoring Temporal Correlation
.109
6.2
Spatial Models
.110
6.2.1
Bayesian Spatial Models
.
Ill
6.2.2
Clustering for Spatial Modeling
.114
6.3
Spatiotemporal
Models
.115
6.3.1
Clustering fMRI Time Series
.116
6.3.2
Direct Modeling
.125
6.4
Software Issues
.132
7
Multivariate Approaches
.133
7.1
Description of Methods
.134
7.1.1
Principal Components Analysis
.134
7.1.2
Independent Components Analysis
.135
7.1.3
Canonical Correlation Analysis
.137
7.2
Multivariate Analyses
.137
7.2.1
Principal Components
.138
7.2.2
Independent Components
.143
7.2.3
Canonical Correlation
.153
7.3
Software Issues
.156
Contents XIII
8 Basis
Function Approaches
.157
8.1
Wavelets
.157
8.1.1
Creating Activation Maps with Wavelets
.159
8.1.2
Wavelets for Modeling
.161
8.1.3
Wavelet Resampling
.162
8.1.4
Assessing Wavelet Methods
.164
8.2
Basis Functions Informed by Anatomy and Physiology
.166
8.3
Summary
.170
9
Bayesian Methods in fMRI
.173
9.1
Fully
Bayes
Models
.175
9.2
Priors for fMRI Data
.180
9.3
Computation
.182
9.4
Conclusion
.185
10
Multiple Testing in fMRI: The Problem of "Thresholding"
187
10.1
Cluster Thresholds
.189
10.2
Random Field Theory
.191
10.3
Thresholds Obtained via Permutation
.193
10.4
Control of the False Discovery Rate
.195
10.5
An Ad Hoc Method
.197
10.6
Procedures Based on fMRI Time Series and the HRF
.198
10.7
Other Techniques
.200
10.8
Evaluation of Methods
.202
10.9
Other Issues
.205
lO.lOConclusion
.210
11
Additional Statistical Issues
.211
11.1
Whitening Versus Smoothing
.211
11.2
Functional and Effective Connectivity
.213
11.2.1
The Use of Correlation to Assess Connectivity
.214
11.2.2
Structural Equation Models
.219
11.2.3
Other Approaches
.221
11.2.4
Conclusion
.222
11.3
Model Selection
.222
11.4
Evaluation of Competing Methods
.224
11.5
Summary
.228
12
Case Study: Eye Motion Data
.231
12.1
Description of the Data
.231
12.2
Data Analysis
.232
12.3
Summary
.243
XIV Contents
A Survey of Major fMRI Software Packages
.249
A.I Analysis of Functional Neurolmages: AFNI
.249
A.2 Statistical Parametric Mapping: SPM
.250
A.3 Other Packages
.251
A.
4
Comparison of Imaging Software Packages
.252
В
Glossary of fMRI Terms
.255
References
.263
Index
.283 |
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| discipline | Psychologie Mathematik Medizin |
| discipline_str_mv | Psychologie Mathematik Medizin |
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| owner | DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-11 DE-188 |
| owner_facet | DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-11 DE-188 |
| physical | XIV, 299 S. Ill., graph. Darst. |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Springer |
| record_format | marc |
| series2 | Statistics for biology and health |
| spelling | Lazar, Nicole A. Verfasser (DE-588)136087175 aut The statistical analysis of functional MRI data Nicole A. Lazar New York, NY Springer 2008 XIV, 299 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Statistics for biology and health Statistik Brain Magnetic resonance imaging Statistics Brain physiology Magnetic Resonance Imaging methods Magnetic Resonance Imaging statistics & numerical data Magnetic resonance imaging Statistics Models, Statistical Statistics as Topic Statistische Analyse (DE-588)4116599-8 gnd rswk-swf Kernspintomografie (DE-588)4120806-7 gnd rswk-swf Kernspintomografie (DE-588)4120806-7 s Statistische Analyse (DE-588)4116599-8 s DE-604 Erscheint auch als Online-Ausgabe 978-0-387-78191-4 text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3078183&prov=M&dok_var=1&dok_ext=htm Inhaltstext Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016588553&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Lazar, Nicole A. The statistical analysis of functional MRI data Statistik Brain Magnetic resonance imaging Statistics Brain physiology Magnetic Resonance Imaging methods Magnetic Resonance Imaging statistics & numerical data Magnetic resonance imaging Statistics Models, Statistical Statistics as Topic Statistische Analyse (DE-588)4116599-8 gnd Kernspintomografie (DE-588)4120806-7 gnd |
| subject_GND | (DE-588)4116599-8 (DE-588)4120806-7 |
| title | The statistical analysis of functional MRI data |
| title_auth | The statistical analysis of functional MRI data |
| title_exact_search | The statistical analysis of functional MRI data |
| title_exact_search_txtP | The statistical analysis of functional MRI data |
| title_full | The statistical analysis of functional MRI data Nicole A. Lazar |
| title_fullStr | The statistical analysis of functional MRI data Nicole A. Lazar |
| title_full_unstemmed | The statistical analysis of functional MRI data Nicole A. Lazar |
| title_short | The statistical analysis of functional MRI data |
| title_sort | the statistical analysis of functional mri data |
| topic | Statistik Brain Magnetic resonance imaging Statistics Brain physiology Magnetic Resonance Imaging methods Magnetic Resonance Imaging statistics & numerical data Magnetic resonance imaging Statistics Models, Statistical Statistics as Topic Statistische Analyse (DE-588)4116599-8 gnd Kernspintomografie (DE-588)4120806-7 gnd |
| topic_facet | Statistik Brain Magnetic resonance imaging Statistics Brain physiology Magnetic Resonance Imaging methods Magnetic Resonance Imaging statistics & numerical data Magnetic resonance imaging Statistics Models, Statistical Statistics as Topic Statistische Analyse Kernspintomografie |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=3078183&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016588553&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT lazarnicolea thestatisticalanalysisoffunctionalmridata |