UID:
almahu_9948342420702882
Umfang:
1 online resource (various pagings) :
,
illustrations (some color).
ISBN:
9780750317931
,
9781643276489
Serie:
IOP ebooks. [2020 collection]
Inhalt:
Autism spectrum disorder (ASD) and Alzheimer's disease (AD) are two significant neurological disorders, which represent the scope of this book. Both ASD and AD effect a significant number of the population and present themselves in numerous ways. This volume covers the state-of-the-art topics that investigate these two significant neurological disorders, not only from the theoretical perspective but also focuses on the practical aspects. The materials are presented in a way that can be beneficial to both advanced and layman readers. Several state-of-the-art machine learning techniques for the early diagnosis of ASD are presented in this book. Also, various studies are discussed to demonstrate the formation, cause, and medical treatments for the AD foetal disorder.
Anmerkung:
"Version: 20191101"--Title page verso.
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1. Machine learning applications to recognize autism and Alzheimer's disease -- 1.1. Introduction -- 1.2. Brain disorders -- 1.3. Deep learning -- 1.4. Conclusion
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2. Neuropathology and neuroimaging of Alzheimer's disease -- 2.1. Alzheimer's disease : history, concept, clinical picture, and neurobiology -- 2.2. Biomarkers -- 2.3. Understanding AD progression through structural imaging -- 2.4. Conclusions
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3. Retinal imaging in Alzheimer's disease -- 3.1. Introduction -- 3.2. Lipofuscin hypothesis of AD -- 3.3. OCT and FAF in retinal diseases -- 3.4. Misfolded proteins in the retina -- 3.5. Cryo-electron microscopy -- 3.6. Retinal imaging of misfolded proteins -- 3.7. Curcumin -- 3.8. AMD and AD -- 3.9. Glaucoma and AD -- 3.10. Alpha-synuclein in AD -- 3.11. Early diagnosis of AD -- 3.12. Biomarkers in AD -- 3.13. Discussion
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4. Clinically relevant depression and risk of Alzheimer's disease in the elderly : meta-analysis of cohort studies -- 4.1. Introduction -- 4.2. Methods -- 4.3. Results -- 4.4. Discussion -- 4.5. Conclusion
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5. The implications of genetic factors in autism spectrum disorder and Alzheimer's disease -- 5.1. Autism spectrum disorder -- 5.2. Alzheimer's disease
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6. Nuclear neurology of autism spectrum disorder -- 6.1. Introduction -- 6.2. Specific neurochemical physiology -- 6.3. Basal physiology -- 6.4. Regional cerebral blood flow -- 6.5. Conclusion
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7. Ethylene and ammonia in neurobehavioral disorders -- 7.1. Introduction -- 7.2. Method -- 7.3. Volatile organic compounds in autism and schizophrenia -- 7.4. Results and discussion -- 7.5. Conclusions and future directions
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8. The impact of stress on parental behavior following a diagnosis of autism -- 8.1. Parental stress and the ASD diagnosis -- 8.2. The potential effect of stress on parental treatment choices -- 8.3. Parents as the agents of behavioral change -- 8.4. Factors affecting parental involvement -- 8.5. Tying it all together : mitigating stress, selecting evidence-based treatments, and increasing parental involvement
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9. Visual saliency for medical imaging and computer-aided diagnosis -- 9.1. Introduction -- 9.2. Visual saliency for medical image analysis -- 9.3. Saliency model for Alzheimer's disease detection from structural MRI -- 9.4. Visual interpretation of visual saliency -- 9.5. AD classification using saliency maps -- 9.6. Conclusion
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10. The early diagnosis of Alzheimer's disease using advanced biomedical engineering technology -- 10.1. Introduction -- 10.2. Literature review -- 10.3. Causes and effects of AD -- 10.4. Hallmarks of AD -- 10.5. The retina and AD -- 10.6. Tests for diagnosing AD -- 10.7. Early diagnosis of AD -- 10.8. Medical imaging techniques -- 10.9. Analysis of MRI and OCT images -- 10.10. Discussion -- 10.11. Conclusion
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11. A local/regional computer aided system for the diagnosis of mild cognitive impairment -- 11.1. Introduction -- 11.2. Material and methods -- 11.3. Results -- 11.4. Discussion
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12. Identifying Alzheimer's disease using feature reduction of GLCM and supervised classification techniques -- 12.1. Introduction -- 12.2. Related work -- 12.3. The proposed supervised-learning approach for AD identification -- 12.4. Experimental results and discussion -- 12.5. Conclusion and future work
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13. Current trends and considerations of Alzheimer's disease -- 13.1. Introduction -- 13.2. Anatomical background -- 13.3. Medical imaging modalities for AD -- 13.4. AD literature review -- 13.5. Discussion -- 13.6. Conclusion
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14. A noninvasive image-based approach toward an early diagnosis of autism -- 14.1. Introduction -- 14.2. Methods -- 14.3. Experimental results and conclusions
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15. Towards a robust CAD system for early diagnosis of autism using structural MRI -- 15.1. Introduction -- 15.2. Methods -- 15.3. Experimental results and conclusions
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16. Computational analysis techniques : a case study on fMRI for autism spectrum disorder -- 16.1. Introduction -- 16.2. Task based fMRI analysis -- 16.3. RfMRI analysis -- 16.4. A case study of fMRI in autism -- 16.5. Conclusions and future work
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17. Autism diagnosis using task-based functional MRI -- 17.1. Introduction -- 17.2. Materials and methods -- 17.3. Experimental results and conclusion.
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Also available in print.
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Mode of access: World Wide Web.
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System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.
Weitere Ausg.:
Print version: ISBN 9780750317641
Sprache:
Englisch
DOI:
10.1088/978-0-7503-1793-1
URL:
https://iopscience.iop.org/book/978-0-7503-1793-1
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