Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology

Amyloid-β (Aβ) plaques and tau protein tangles in the brain are now widely recognized as the defining hallmarks of Alzheimer’s disease (AD), followed by structural atrophy detectable on brain magnetic resonance imaging (MRI) scans. One of the particular neurodegenerative regions is the hippocampus t...

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Autores principales:	Jianfeng Wu, Qunxi Dong, Jie Zhang, Yi Su, Teresa Wu, Richard J. Caselli, Eric M. Reiman, Jieping Ye, Natasha Lepore, Kewei Chen, Paul M. Thompson, Yalin Wang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	Alzheimer’s disease amyloid-β (Aβ)/tau magnetic resonance imaging (MRI) hippocampal morphometry federated learning Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/bbb5953e30c848b3beb4ff332db0ff76
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spelling	oai:doaj.org-article:bbb5953e30c848b3beb4ff332db0ff762021-12-01T00:26:52ZFederated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology1662-453X10.3389/fnins.2021.762458https://doaj.org/article/bbb5953e30c848b3beb4ff332db0ff762021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnins.2021.762458/fullhttps://doaj.org/toc/1662-453XAmyloid-β (Aβ) plaques and tau protein tangles in the brain are now widely recognized as the defining hallmarks of Alzheimer’s disease (AD), followed by structural atrophy detectable on brain magnetic resonance imaging (MRI) scans. One of the particular neurodegenerative regions is the hippocampus to which the influence of Aβ/tau on has been one of the research focuses in the AD pathophysiological progress. This work proposes a novel framework, Federated Morphometry Feature Selection (FMFS) model, to examine subtle aspects of hippocampal morphometry that are associated with Aβ/tau burden in the brain, measured using positron emission tomography (PET). FMFS is comprised of hippocampal surface-based feature calculation, patch-based feature selection, federated group LASSO regression, federated screening rule-based stability selection, and region of interest (ROI) identification. FMFS was tested on two Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohorts to understand hippocampal alterations that relate to Aβ/tau depositions. Each cohort included pairs of MRI and PET for AD, mild cognitive impairment (MCI), and cognitively unimpaired (CU) subjects. Experimental results demonstrated that FMFS achieves an 89× speedup compared to other published state-of-the-art methods under five independent hypothetical institutions. In addition, the subiculum and cornu ammonis 1 (CA1 subfield) were identified as hippocampal subregions where atrophy is strongly associated with abnormal Aβ/tau. As potential biomarkers for Aβ/tau pathology, the features from the identified ROIs had greater power for predicting cognitive assessment and for survival analysis than five other imaging biomarkers. All the results indicate that FMFS is an efficient and effective tool to reveal associations between Aβ/tau burden and hippocampal morphometry.Jianfeng WuQunxi DongQunxi DongJie ZhangYi SuTeresa WuRichard J. CaselliEric M. ReimanJieping YeNatasha LeporeKewei ChenPaul M. ThompsonYalin WangFrontiers Media S.A.articleAlzheimer’s diseaseamyloid-β (Aβ)/taumagnetic resonance imaging (MRI)hippocampal morphometryfederated learningNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Neuroscience, Vol 15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Alzheimer’s disease amyloid-β (Aβ)/tau magnetic resonance imaging (MRI) hippocampal morphometry federated learning Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Alzheimer’s disease amyloid-β (Aβ)/tau magnetic resonance imaging (MRI) hippocampal morphometry federated learning Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Jianfeng Wu Qunxi Dong Qunxi Dong Jie Zhang Yi Su Teresa Wu Richard J. Caselli Eric M. Reiman Jieping Ye Natasha Lepore Kewei Chen Paul M. Thompson Yalin Wang Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology
description	Amyloid-β (Aβ) plaques and tau protein tangles in the brain are now widely recognized as the defining hallmarks of Alzheimer’s disease (AD), followed by structural atrophy detectable on brain magnetic resonance imaging (MRI) scans. One of the particular neurodegenerative regions is the hippocampus to which the influence of Aβ/tau on has been one of the research focuses in the AD pathophysiological progress. This work proposes a novel framework, Federated Morphometry Feature Selection (FMFS) model, to examine subtle aspects of hippocampal morphometry that are associated with Aβ/tau burden in the brain, measured using positron emission tomography (PET). FMFS is comprised of hippocampal surface-based feature calculation, patch-based feature selection, federated group LASSO regression, federated screening rule-based stability selection, and region of interest (ROI) identification. FMFS was tested on two Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohorts to understand hippocampal alterations that relate to Aβ/tau depositions. Each cohort included pairs of MRI and PET for AD, mild cognitive impairment (MCI), and cognitively unimpaired (CU) subjects. Experimental results demonstrated that FMFS achieves an 89× speedup compared to other published state-of-the-art methods under five independent hypothetical institutions. In addition, the subiculum and cornu ammonis 1 (CA1 subfield) were identified as hippocampal subregions where atrophy is strongly associated with abnormal Aβ/tau. As potential biomarkers for Aβ/tau pathology, the features from the identified ROIs had greater power for predicting cognitive assessment and for survival analysis than five other imaging biomarkers. All the results indicate that FMFS is an efficient and effective tool to reveal associations between Aβ/tau burden and hippocampal morphometry.
format	article
author	Jianfeng Wu Qunxi Dong Qunxi Dong Jie Zhang Yi Su Teresa Wu Richard J. Caselli Eric M. Reiman Jieping Ye Natasha Lepore Kewei Chen Paul M. Thompson Yalin Wang
author_facet	Jianfeng Wu Qunxi Dong Qunxi Dong Jie Zhang Yi Su Teresa Wu Richard J. Caselli Eric M. Reiman Jieping Ye Natasha Lepore Kewei Chen Paul M. Thompson Yalin Wang
author_sort	Jianfeng Wu
title	Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology
title_short	Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology
title_full	Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology
title_fullStr	Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology
title_full_unstemmed	Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology
title_sort	federated morphometry feature selection for hippocampal morphometry associated beta-amyloid and tau pathology
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/bbb5953e30c848b3beb4ff332db0ff76
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Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology

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