Structural Brain Imaging Phenotypes of Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) Found by Hierarchical Clustering
المؤلفون المشاركون
Tohka, Jussi
Neuroimaging Initiative, The Alzheimer’s Disease
Kärkkäinen, Mikko
Prakash, Mithilesh
Zare, Marzieh
المصدر
International Journal of Alzheimer's Disease
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-16
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
A hierarchical clustering algorithm was applied to magnetic resonance images (MRI) of a cohort of 751 subjects having a mild cognitive impairment (MCI), 282 subjects having received Alzheimer’s disease (AD) diagnosis, and 428 normal controls (NC).
MRIs were preprocessed to gray matter density maps and registered to a stereotactic space.
By first rendering the gray matter density maps comparable by regressing out age, gender, and years of education, and then performing the hierarchical clustering, we found clusters displaying structural features of typical AD, cortically-driven atypical AD, limbic-predominant AD, and early-onset AD (EOAD).
Among these clusters, EOAD subjects displayed marked cortical gray matter atrophy and atrophy of the precuneus.
Furthermore, EOAD subjects had the highest progression rates as measured with ADAS slopes during the longitudinal follow-up of 36 months.
Striking heterogeneities in brain atrophy patterns were observed with MCI subjects.
We found clusters of stable MCI, clusters of diffuse brain atrophy with fast progression, and MCI subjects displaying similar atrophy patterns as the typical or atypical AD subjects.
Bidirectional differences in structural phenotypes were found with MCI subjects involving the anterior cerebellum and the frontal cortex.
The diversity of the MCI subjects suggests that the structural phenotypes of MCI subjects would deserve a more detailed investigation with a significantly larger cohort.
Our results demonstrate that the hierarchical agglomerative clustering method is an efficient tool in dividing a cohort of subjects with gray matter atrophy into coherent clusters manifesting different structural phenotypes.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kärkkäinen, Mikko& Prakash, Mithilesh& Zare, Marzieh& Tohka, Jussi& Neuroimaging Initiative, The Alzheimer’s Disease. 2020. Structural Brain Imaging Phenotypes of Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) Found by Hierarchical Clustering. International Journal of Alzheimer's Disease،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1167843
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kärkkäinen, Mikko…[et al.]. Structural Brain Imaging Phenotypes of Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) Found by Hierarchical Clustering. International Journal of Alzheimer's Disease No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1167843
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kärkkäinen, Mikko& Prakash, Mithilesh& Zare, Marzieh& Tohka, Jussi& Neuroimaging Initiative, The Alzheimer’s Disease. Structural Brain Imaging Phenotypes of Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) Found by Hierarchical Clustering. International Journal of Alzheimer's Disease. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1167843
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1167843
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر