Frontiers in Neuroimaging

Neuroimaging has developed rapidly, such as ultrasound, CT scanning, MRI, functional MRI, 7T MRI, and digital subtraction angiography, providing high-resolution acquisition and better contrast, making it easier to detect lesions and structural changes in brain diseases. Targeted diseases in neuroima...

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collection Directory of Open Access Books
description Neuroimaging has developed rapidly, such as ultrasound, CT scanning, MRI, functional MRI, 7T MRI, and digital subtraction angiography, providing high-resolution acquisition and better contrast, making it easier to detect lesions and structural changes in brain diseases. Targeted diseases in neuroimaging include tumors, vascular diseases, neurodegenerative diseases, and psychiatric disorders, including Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, epilepsy, severe depression, and schizophrenia. The ability of electroencephalography and magnetoencephalography to detect changes in brain function in other dementia suggests that they may also be promising biomarkers for early vascular cognitive impairment. In recent years, machine learning has achieved significant success in providing automated analysis for neuroimaging research, and its role may increase in the future. For clinical doctors, understanding these methods and mastering explanatory skills are crucial.
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spelling doab-20.500.12854ir-1353452024-04-01T14:15:46Z Frontiers in Neuroimaging Lv, Xianli thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKS Medical imaging Neuroimaging has developed rapidly, such as ultrasound, CT scanning, MRI, functional MRI, 7T MRI, and digital subtraction angiography, providing high-resolution acquisition and better contrast, making it easier to detect lesions and structural changes in brain diseases. Targeted diseases in neuroimaging include tumors, vascular diseases, neurodegenerative diseases, and psychiatric disorders, including Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, epilepsy, severe depression, and schizophrenia. The ability of electroencephalography and magnetoencephalography to detect changes in brain function in other dementia suggests that they may also be promising biomarkers for early vascular cognitive impairment. In recent years, machine learning has achieved significant success in providing automated analysis for neuroimaging research, and its role may increase in the future. For clinical doctors, understanding these methods and mastering explanatory skills are crucial. 2024-03-07T17:12:40Z 2024-03-07T17:12:40Z 2024 book ONIX_20240307_9781837687107_253 9781837687107 9781837687091 9781837687114 https://directory.doabooks.org/handle/20.500.12854/135345 eng image/jpeg n/a https://www.intechopen.com/books/12359 https://mts.intechopen.com/storage/books/12359/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.105340 10.5772/intechopen.105340 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781837687107 9781837687091 9781837687114 IntechOpen 102 open access
spellingShingle thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKS Medical imaging
Frontiers in Neuroimaging
title Frontiers in Neuroimaging
title_full Frontiers in Neuroimaging
title_fullStr Frontiers in Neuroimaging
title_full_unstemmed Frontiers in Neuroimaging
title_short Frontiers in Neuroimaging
title_sort frontiers in neuroimaging
topic thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKS Medical imaging
topic_facet thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKS Medical imaging
url ONIX_20240307_9781837687107_253