Change point analyses in prodromal Alzheimer’s disease

Change point analysis can reveal when a biomarker starts to diverge from the pattern of normal aging. This paper analyzes several biomarkers from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to estimate the sequence and timing of their change points relative to a subsequent clinical diagno...

Full description

Bibliographic Details
Main Authors: Alvin H. Bachman, Babak A. Ardekani
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Biomarkers in Neuropsychiatry
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666144620300186
_version_ 1818408333550288896
author Alvin H. Bachman
Babak A. Ardekani
author_facet Alvin H. Bachman
Babak A. Ardekani
author_sort Alvin H. Bachman
collection DOAJ
description Change point analysis can reveal when a biomarker starts to diverge from the pattern of normal aging. This paper analyzes several biomarkers from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to estimate the sequence and timing of their change points relative to a subsequent clinical diagnosis of mild cognitive impairment (MCI) in subjects initially considered cognitively normal (CN). Data on 379 stable CN (sCN) and 98 progressive CN (pCN) subjects who progressed to an MCI diagnosis were used. Linear mixed-effects change point models were used to estimate when various biomarkers in pCN started to diverge from rates expected in normal aging. Our results indicate that in pCN, hippocampal atrophy rate diverges from normal aging 12.4 (±2.8) years before MCI diagnosis, followed by ventricular volume expansion and decrease in Rey Auditory Verbal Learning Test of immediate recall scores about 5 years later. Glucose metabolism decrease begins about 5 (±1.3) years before diagnosis, followed by deterioration in other cognitive test scores. Planned AD interventions should note that irreversible changes such as atrophy may occur a decade before possible diagnosis of MCI.
first_indexed 2024-12-14T09:42:04Z
format Article
id doaj.art-de3b023537ea44838f0567f908a88cf0
institution Directory Open Access Journal
issn 2666-1446
language English
last_indexed 2024-12-14T09:42:04Z
publishDate 2020-12-01
publisher Elsevier
record_format Article
series Biomarkers in Neuropsychiatry
spelling doaj.art-de3b023537ea44838f0567f908a88cf02022-12-21T23:07:45ZengElsevierBiomarkers in Neuropsychiatry2666-14462020-12-013100028Change point analyses in prodromal Alzheimer’s diseaseAlvin H. Bachman0Babak A. Ardekani1The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USAThe Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Department of Psychiatry, New York University School of Medicine, New York, NY, USA; Corresponding author at: Center for Brain Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Rd, Orangeburg, NY, 10962, USA.Change point analysis can reveal when a biomarker starts to diverge from the pattern of normal aging. This paper analyzes several biomarkers from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to estimate the sequence and timing of their change points relative to a subsequent clinical diagnosis of mild cognitive impairment (MCI) in subjects initially considered cognitively normal (CN). Data on 379 stable CN (sCN) and 98 progressive CN (pCN) subjects who progressed to an MCI diagnosis were used. Linear mixed-effects change point models were used to estimate when various biomarkers in pCN started to diverge from rates expected in normal aging. Our results indicate that in pCN, hippocampal atrophy rate diverges from normal aging 12.4 (±2.8) years before MCI diagnosis, followed by ventricular volume expansion and decrease in Rey Auditory Verbal Learning Test of immediate recall scores about 5 years later. Glucose metabolism decrease begins about 5 (±1.3) years before diagnosis, followed by deterioration in other cognitive test scores. Planned AD interventions should note that irreversible changes such as atrophy may occur a decade before possible diagnosis of MCI.http://www.sciencedirect.com/science/article/pii/S2666144620300186Change PointMCIADNIAlzheimer’s diseaseHippocampusVentricles
spellingShingle Alvin H. Bachman
Babak A. Ardekani
Change point analyses in prodromal Alzheimer’s disease
Biomarkers in Neuropsychiatry
Change Point
MCI
ADNI
Alzheimer’s disease
Hippocampus
Ventricles
title Change point analyses in prodromal Alzheimer’s disease
title_full Change point analyses in prodromal Alzheimer’s disease
title_fullStr Change point analyses in prodromal Alzheimer’s disease
title_full_unstemmed Change point analyses in prodromal Alzheimer’s disease
title_short Change point analyses in prodromal Alzheimer’s disease
title_sort change point analyses in prodromal alzheimer s disease
topic Change Point
MCI
ADNI
Alzheimer’s disease
Hippocampus
Ventricles
url http://www.sciencedirect.com/science/article/pii/S2666144620300186
work_keys_str_mv AT alvinhbachman changepointanalysesinprodromalalzheimersdisease
AT babakaardekani changepointanalysesinprodromalalzheimersdisease