Progress in Brain Research, Volume 290 highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this release include Image Analysis for Spinocerebellar Ataxia Type 3, Brain structural network modular and connectivity alterations in subtype of patients with migraine, Brain Functional Networks and Structures that Categorize Type 2 Bipolar Disorder and Major Depression, Reinforcement Learning Classification in fNIRS Signal of Olfactory Stimulated, The method of brain-computer interface using the forehead instead of the visual area to receive SSVEP signals and signal processing, and more.
Additional chapters cover The relationship between flash-induced SSVEP in DELTA frequency band and sleep, Enhancing Facial Feature De-Identification in Multi-Frame Brain Images: A Generative Adversarial Network Approach, Comparative Analysis of MRI Markers in Heat and Mechanical Pain Sensitivity, and Analysis of the Difference Between Alzheimer’s Disease, Mild Cognitive Impairment and Normal People by Using Fractal Dimensions and Small-World Network.
1. Medical Image and Signal Analysis in Brain Research - p. i 2. Cover image - p. i 3. Title page - p. i 4. Table of Contents - p. i 5. Series Page - p. ii 6. Copyright - p. iv 7. Contributors - p. v 8. Preface - p. xiii 9. Chapter One Morphological changes of cerebral gray matter in spinocerebellar ataxia type 3 using fractal dimension analysis - p. 1 10. Chapter Two Brain structural network modular and connectivity alterations in subtypes of patients with migraine and medication overuse headache - p. 24 11. Chapter Three Brain functional networks and structures that categorize type 2 bipolar disorder and major depression - p. 64 12. Chapter Four Enhancing classification accuracy of HRF signals in fNIRS using semi-supervised learning and filtering - p. 83 13. Chapter Five Optimizing user experience in SSVEP-BCI systems - p. 105 14. Chapter Six Relationship of SSVEP response between flash frequency conditions - p. 123 15. Chapter Seven Enhancing facial feature de-identification in multiframe brain images: A generative adversarial network approach - p. 141 16. Chapter Eight Comparative analysis of rs-fMRI markers in heat and mechanical pain sensitivity - p. 157 17. Chapter Nine Analysis of the difference between Alzheimer's disease, mild cognitive impairment and normal people by using fractal dimensions and small-world network - p. 180
Progress in Brain Research, Volume 290 highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this release include Image Analysis for Spinocerebellar Ataxia Type 3, Brain structural network modular and connectivity alterations in subtype of patients with migraine, Brain Functional Networks and Structures that Categorize Type 2 Bipolar Disorder and Major Depression, Reinforcement Learning Classification in fNIRS Signal of Olfactory Stimulated, The method of brain-computer interface using the forehead instead of the visual area to receive SSVEP signals and signal processing, and more.
Additional chapters cover The relationship between flash-induced SSVEP in DELTA frequency band and sleep, Enhancing Facial Feature De-Identification in Multi-Frame Brain Images: A Generative Adversarial Network Approach, Comparative Analysis of MRI Markers in Heat and Mechanical Pain Sensitivity, and Analysis of the Difference Between Alzheimer’s Disease, Mild Cognitive Impairment and Normal People by Using Fractal Dimensions and Small-World Network.
1. Medical Image and Signal Analysis in Brain Research - p. i 2. Cover image - p. i 3. Title page - p. i 4. Table of Contents - p. i 5. Series Page - p. ii 6. Copyright - p. iv 7. Contributors - p. v 8. Preface - p. xiii 9. Chapter One Morphological changes of cerebral gray matter in spinocerebellar ataxia type 3 using fractal dimension analysis - p. 1 10. Chapter Two Brain structural network modular and connectivity alterations in subtypes of patients with migraine and medication overuse headache - p. 24 11. Chapter Three Brain functional networks and structures that categorize type 2 bipolar disorder and major depression - p. 64 12. Chapter Four Enhancing classification accuracy of HRF signals in fNIRS using semi-supervised learning and filtering - p. 83 13. Chapter Five Optimizing user experience in SSVEP-BCI systems - p. 105 14. Chapter Six Relationship of SSVEP response between flash frequency conditions - p. 123 15. Chapter Seven Enhancing facial feature de-identification in multiframe brain images: A generative adversarial network approach - p. 141 16. Chapter Eight Comparative analysis of rs-fMRI markers in heat and mechanical pain sensitivity - p. 157 17. Chapter Nine Analysis of the difference between Alzheimer's disease, mild cognitive impairment and normal people by using fractal dimensions and small-world network - p. 180
