PMID: 26787291Jan 21, 2016Paper

Hippocampal Subfield Atrophies in Converted and Not-Converted Mild Cognitive Impairments Patients by a Markov Random Fields Algorithm

Current Alzheimer Research
Roberta Vasta For The Alzheimer's Disease Neuroimaging Initiative

Abstract

Although measurement of total hippocampal volume is considered as an important hallmark of Alzheimer's disease (AD), recent evidence demonstrated that atrophies of hippocampal subregions might be more sensitive in predicting this neurodegenerative disease. The vast majority of neuroimaging papers investigating this topic are focused on the difference between AD and patients with mild cognitive impairment (MCI), not considering the impact of MCI patients who will or not convert in AD. For this reason, the aim of this study was to determine if measurements of hippocampal subfields provide advantages over total hippocampal volume for discriminating these groups. Hippocampal subfields volumetry was extracted in 55 AD, 32 converted and 89 not-converted MCI (c/nc-MCI) and 47 healthy controls, using an atlas-based automatic algorithm based on Markov random fields embedded in the Freesurfer framework. To evaluate the impact of hippocampal atrophy in discriminating the insurgence of AD-like phenotypes we used three classification methods: Support Vector Machine, Naïve Bayesian Classifier and Neural Networks Classifier. Taking into account only the total hippocampal volume, all classification models, reached a sensitivity of about 66% in...Continue Reading

Citations

Sep 7, 2018·Frontiers in Neuroscience·Alessia SaricaUNKNOWN Alzheimer's Disease Neuroimaging Initiative
Nov 24, 2020·Neurobiology of Aging·Amy N MurrayThomas M Lancaster
Dec 16, 2017·Journal of Neuroscience Methods·J RamírezUNKNOWN Alzheimer's Disease Neuroimaging Initiative

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