Preface |
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xi | |
Acknowledgments |
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xiii | |
About the Author |
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xv | |
Chapter 1 Introduction |
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1 | (4) |
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3 | (2) |
Chapter 2 Basic Concepts |
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5 | (32) |
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2.1 Basic Anatomy of an MRI System |
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5 | (8) |
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2.1.1 The Static Magnetic Field |
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5 | (3) |
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2.1.2 Magnetic Field Gradients |
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8 | (2) |
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2.1.3 Radio-Frequency Magnetic Fields |
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10 | (3) |
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2.2 Representing Images with Numbers and Vice Versa |
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13 | (7) |
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2.2.1 MR Image Data Formats |
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17 | (3) |
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2.3 Recurring Math Concepts: Representing Data as Sums of Meaningful Components |
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20 | (16) |
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2.3.1 Decomposing Signals or Images into Simpler Components |
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20 | (2) |
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2.3.2 General Linear Model |
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22 | (4) |
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2.3.3 The Fourier Transform |
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26 | (7) |
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2.3.4 Useful Properties of the Fourier Transform |
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33 | (3) |
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36 | (1) |
Chapter 3 Source of the MR Signal and Its Properties |
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37 | (22) |
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3.1 Origins of the MR Signal |
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37 | (3) |
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3.2 The Equilibrium State—Magnetization in Tissues |
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40 | (1) |
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3.3 Behavior of the Magnetization When Not at Equilibrium |
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40 | (2) |
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3.4 Pushing the Magnetization Away from Equilibrium—The RF Pulse |
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42 | (3) |
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3.5 Detecting the MR Signal |
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45 | (1) |
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3.6 Relaxation Back to Equilibrium |
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46 | (6) |
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3.7 Observing the Effects of Relaxation |
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52 | (4) |
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56 | (3) |
Chapter 4 The Fundamental Building Blocks of MRI Methods: Spin Echoes and Gradient Echoes |
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59 | (26) |
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59 | (3) |
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62 | (4) |
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66 | (2) |
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4.4 Steady-State Methods and Stimulated Echoes |
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68 | (8) |
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4.4.1 Steady-State Methods |
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70 | (2) |
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72 | (4) |
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4.5 Signal Weighting and Contrast |
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76 | (3) |
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4.6 Inversion-Recovery Methods |
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79 | (1) |
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4.7 Magnetization Transfer Contrast |
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80 | (1) |
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81 | (3) |
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84 | (1) |
Chapter 5 Creating an Image from the Magnetic Resonance Signal |
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85 | (36) |
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5.1 Spatially Selective Radio-Frequency Pulses |
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86 | (7) |
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5.2 Encoding Spatial Information into the MR Signal to Create an Image |
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93 | (4) |
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5.3 Constructing an Image from k-Space |
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97 | (6) |
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5.4 Signal Strength, Imaging Speed, and Spatial Resolution—You Cannot Have It All |
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103 | (5) |
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108 | (5) |
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113 | (2) |
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5.7 Causes of Image Artifacts and Distortion |
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115 | (5) |
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120 | (1) |
Chapter 6 Principles and Practice of Functional MRI |
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121 | (40) |
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6.1 How MRI Becomes Functional MRI |
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121 | (1) |
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6.2 Contrast Mechanisms: Linking the MR Signal and Neural Function |
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122 | (8) |
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122 | (1) |
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6.2.2 Physiological Origins of BOLD |
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123 | (5) |
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6.2.3 Quantifying the BOLD MR Signal Change |
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128 | (2) |
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6.3 General BOLD fMRI Methods |
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130 | (4) |
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134 | (7) |
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6.4.1 Causes of Image Distortion and Signal Loss |
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134 | (4) |
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6.4.2 Modified fMRI Methods for Special Regions |
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138 | (3) |
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6.5 Specific Examples of fMRI Applications—Setting the Acquisition Parameters |
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141 | (2) |
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6.6 Alternative Contrast Mechanisms |
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143 | (13) |
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6.6.1 Signal Enhancement by Extravascular Water Protons (SEEP) |
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144 | (2) |
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6.6.2 Perfusion-Weighted Imaging (PWI) |
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146 | (4) |
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6.6.3 Vascular Space Occupancy (VASO) |
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150 | (1) |
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6.6.4 Diffusion-Weighted Imaging (DWI) |
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151 | (5) |
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156 | (5) |
Chapter 7 Functional MRI Study Design |
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161 | (24) |
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7.1 Basic Principles of fMRI Study Design |
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161 | (1) |
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7.2 Choice of Stimulation Method or Task |
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162 | (2) |
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7.3 Choice of the fMRI Study Design |
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164 | (5) |
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165 | (1) |
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7.3.2 Event-Related Designs |
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165 | (1) |
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7.3.3 Fast Event-Related Designs |
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166 | (1) |
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167 | (1) |
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7.3.5 Behaviorally Driven Designs |
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168 | (1) |
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7.4 Order and Timing of Presentation of Tasks or Stimuli |
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169 | (4) |
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171 | (1) |
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171 | (1) |
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171 | (1) |
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172 | (1) |
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7.5 Timing of Tasks or Stimuli, Duration, Sampling Rate |
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173 | (9) |
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173 | (1) |
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7.5.2 The Order and Timing of Blocks or Events—Design Efficiency |
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173 | (6) |
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7.5.3 The Number of Time Points (Volumes) |
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179 | (1) |
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7.5.4 The Number of Events or Blocks |
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180 | (2) |
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7.6 Summary of Factors Influencing fMRI Study Design |
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182 | (1) |
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183 | (2) |
Chapter 8 Functional MRI Data Analysis |
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185 | (32) |
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185 | (3) |
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8.2 fMRI Analysis Software |
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188 | (1) |
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189 | (6) |
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8.3.1 Global Normalization |
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189 | (1) |
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189 | (2) |
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8.3.3 Slice Timing Correction |
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191 | (1) |
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8.3.4 Spatial Normalization |
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191 | (2) |
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193 | (1) |
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194 | (1) |
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8.4 Data Analysis Methods |
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195 | (8) |
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8.4.1 Model-Driven, Univariate Analysis Methods |
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196 | (2) |
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196 | (1) |
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8.4.1.2 General Linear Model |
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196 | (2) |
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8.4.2 Data-Driven, Multivariate Analysis Methods |
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198 | (3) |
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8.4.3 Data Analysis for Resting-State Studies |
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201 | (2) |
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8.5 Statistical Threshold, and Correction for Multiple Comparisons |
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203 | (2) |
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205 | (6) |
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8.6.1 Fixed-Effects, Random-Effects, and Conjunction Analyses |
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206 | (1) |
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8.6.2 General Linear Model for Group Analysis |
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207 | (1) |
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8.6.3 Partial Least Squares Analysis |
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207 | (1) |
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8.6.4 Functional and Effective Connectivity, and Dynamic Causal Modeling |
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208 | (3) |
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8.7 Interpretation of fMRI Results, What Do They Really Mean? |
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211 | (1) |
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212 | (5) |
Chapter 9 Clinical Applications of Functional MRI |
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217 | (36) |
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9.1 Examples of Current Clinical Applications of fMRI |
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218 | (6) |
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9.2 Examples of Forthcoming Clinical Applications |
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224 | (23) |
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9.2.1 Resting-State Studies, Default-Mode Network Studies |
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224 | (3) |
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227 | (3) |
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230 | (2) |
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9.2.4 Consciousness Disorders/Coma |
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232 | (3) |
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9.2.5 Traumatic Brain Injury |
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235 | (2) |
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9.2.6 fMRI Studies Using Saccadic Eye Movements |
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237 | (5) |
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9.2.7 Spinal Cord Injury and Disease |
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242 | (5) |
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9.2.7.1 True Physiological Variation |
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243 | (1) |
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9.2.7.2 Human Studies and Clinical Applications |
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243 | (4) |
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9.2.8 Concluding Points about the Use of fMRI for Clinical Diagnosis and Monitoring |
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247 | (1) |
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247 | (6) |
Glossary of Terms |
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253 | (20) |
Appendix: Decision Tree for BOLD fMRI Study Design |
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273 | (6) |
Index |
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279 | |