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.

• Provides the latest information on Medical Image and Signal Analysis in Brain Research
• Offers outstanding and original reviews on a range of Medical Image and Signal Analysis in Brain Research topics
• Serves as an indispensable reference for researchers and students alike

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.

• Provides the latest information on Medical Image and Signal Analysis in Brain Research
• Offers outstanding and original reviews on a range of Medical Image and Signal Analysis in Brain Research topics
• Serves as an indispensable reference for researchers and students alike

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.

• Provides the latest information on Medical Image and Signal Analysis in Brain Research
• Offers outstanding and original reviews on a range of Medical Image and Signal Analysis in Brain Research topics
• Serves as an indispensable reference for researchers and students alike