Literature DB >> 28157098

Pupillary Responses as a Biomarker of Early Risk for Alzheimer's Disease.

Eric L Granholm1,2, Matthew S Panizzon1, Jeremy A Elman1, Amy J Jak1,3, Richard L Hauger1,3, Mark W Bondi1,2, Michael J Lyons4, Carol E Franz1, William S Kremen1,3.   

Abstract

Task-evoked pupillary responses may be a psychophysiological biomarker of early risk for mild cognitive impairment (MCI) and Alzheimer's disease (AD). Pupil dilation during cognitive tasks reflects cognitive effort until compensatory capacity is surpassed and performance declines are manifest, and reflects activation in the locus coeruleus, where degenerative changes have been found in the earliest stages of AD. We recorded pupillary responses during digit span recall in 918 participants ages 56-66. Despite normal performance, amnestic single-domain MCI (S-MCI) participants showed greater pupil dilation than non-amnestic S-MCI and cognitively normal (CN) participants at lower cognitive loads. Multi-domain MCI (M-MCI) participants failed to modulate effort across cognitive loads and showed poorer performance. Pupillary responses differentiated MCI and CN groups. Amnestic S-MCI participants required compensatory effort to maintain performance, consistent with increased risk for decline. Greater effort in CN individuals might indicate risk for MCI. Results are consistent with dysfunction in locus coeruleus-linked brain systems. This brief task shows promise as a biomarker for early MCI and AD risk prediction.

Entities:  

Keywords:  Alzheimer’s disease; compensatory cognitive effort; mild cognitive impairment; pupillary responses; pupillometry

Mesh:

Year:  2017        PMID: 28157098      PMCID: PMC5808562          DOI: 10.3233/JAD-161078

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  40 in total

Review 1.  An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance.

Authors:  Gary Aston-Jones; Jonathan D Cohen
Journal:  Annu Rev Neurosci       Date:  2005       Impact factor: 12.449

2.  Verbal paired-associate learning by APOE genotype in non-demented older adults: fMRI evidence of a right hemispheric compensatory response.

Authors:  S Duke Han; Wes S Houston; Amy J Jak; Lisa T Eyler; Bonnie J Nagel; Adam S Fleisher; Gregory G Brown; Jody Corey-Bloom; David P Salmon; Leon J Thal; Mark W Bondi
Journal:  Neurobiol Aging       Date:  2006-01-24       Impact factor: 4.673

3.  Task-evoked pupillary responses, processing load, and the structure of processing resources.

Authors:  J Beatty
Journal:  Psychol Bull       Date:  1982-03       Impact factor: 17.737

4.  Compensatory changes in the noradrenergic nervous system in the locus ceruleus and hippocampus of postmortem subjects with Alzheimer's disease and dementia with Lewy bodies.

Authors:  Patricia Szot; Sylvia S White; J Lynne Greenup; James B Leverenz; Elaine R Peskind; Murray A Raskind
Journal:  J Neurosci       Date:  2006-01-11       Impact factor: 6.167

5.  Pupil diameter tracks changes in control state predicted by the adaptive gain theory of locus coeruleus function.

Authors:  Mark S Gilzenrat; Sander Nieuwenhuis; Marieke Jepma; Jonathan D Cohen
Journal:  Cogn Affect Behav Neurosci       Date:  2010-05       Impact factor: 3.282

6.  Neuron loss in key cholinergic and aminergic nuclei in Alzheimer disease: a meta-analysis.

Authors:  Scott A Lyness; Chris Zarow; Helena C Chui
Journal:  Neurobiol Aging       Date:  2003 Jan-Feb       Impact factor: 4.673

7.  Pupil diameter covaries with BOLD activity in human locus coeruleus.

Authors:  Peter R Murphy; Redmond G O'Connell; Michael O'Sullivan; Ian H Robertson; Joshua H Balsters
Journal:  Hum Brain Mapp       Date:  2014-02-07       Impact factor: 5.038

Review 8.  Noradrenergic mechanisms in neurodegenerative diseases: a theory.

Authors:  Marc R Marien; Francis C Colpaert; Alan C Rosenquist
Journal:  Brain Res Brain Res Rev       Date:  2004-04

9.  Spatial analysis of the neuronal density of aminergic brainstem nuclei in primary neurodegenerative and vascular dementia: a comparative immunocytochemical and quantitative study using a graph method.

Authors:  Y Yang; K Beyreuther; H P Schmitt
Journal:  Anal Cell Pathol       Date:  1999       Impact factor: 2.916

10.  Challenge-driven attention: interacting frontal and brainstem systems.

Authors:  Rajeev D S Raizada; Russell A Poldrack
Journal:  Front Hum Neurosci       Date:  2008-03-28       Impact factor: 3.169

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  27 in total

1.  Pupillary response: cognitive effort for breast cancer survivors.

Authors:  Jamie S Myers; Melike Kahya; Melissa Mitchell; Junqiang Dai; Jianghua He; Sanghee Moon; Kevin Hamilton; Mary Valla; Anne O'Dea; Jennifer Klemp; Monica Kurylo; Abiodun Akinwuntan; Hannes Devos
Journal:  Support Care Cancer       Date:  2018-08-10       Impact factor: 3.603

2.  Pilot Feasibility Study Examining Pupillary Response During Driving Simulation as a Measure of Cognitive Load in Breast Cancer Survivors.

Authors:  Jamie S Myers; Nesreen Alissa; Melissa Mitchell; Junqiang Dai; Jianghua He; Sanghee Moon; Anne O'Dea; Jennifer Klemp; Monica Kurylo; Abiodun Akinwuntan; Hannes Devos
Journal:  Oncol Nurs Forum       Date:  2020-03-01       Impact factor: 2.172

3.  Task-evoked pupil dilation and BOLD variance as indicators of locus coeruleus dysfunction.

Authors:  Jeremy A Elman; Matthew S Panizzon; Donald J Hagler; Lisa T Eyler; Eric L Granholm; Christine Fennema-Notestine; Michael J Lyons; Linda K McEvoy; Carol E Franz; Anders M Dale; William S Kremen
Journal:  Cortex       Date:  2017-10-07       Impact factor: 4.027

4.  12-year prediction of mild cognitive impairment aided by Alzheimer's brain signatures at mean age 56.

Authors:  McKenna E Williams; Jeremy A Elman; Linda K McEvoy; Ole A Andreassen; Anders M Dale; Graham M L Eglit; Lisa T Eyler; Christine Fennema-Notestine; Carol E Franz; Nathan A Gillespie; Donald J Hagler; Sean N Hatton; Richard L Hauger; Amy J Jak; Mark W Logue; Michael J Lyons; Ruth E McKenzie; Michael C Neale; Matthew S Panizzon; Olivia K Puckett; Chandra A Reynolds; Mark Sanderson-Cimino; Rosemary Toomey; Xin M Tu; Nathan Whitsel; Hong Xian; William S Kremen
Journal:  Brain Commun       Date:  2021-07-23

5.  The Unfolding of Cognitive Effort During Sentence Processing: Pupillometric Evidence From People With and Without Aphasia.

Authors:  Laura Roche Chapman; Brooke Hallowell
Journal:  J Speech Lang Hear Res       Date:  2021-11-11       Impact factor: 2.674

6.  Publication guidelines and recommendations for pupillary measurement in psychophysiological studies.

Authors:  Stuart R Steinhauer; Margaret M Bradley; Greg J Siegle; Kathryn A Roecklein; Annika Dix
Journal:  Psychophysiology       Date:  2022-04       Impact factor: 4.348

7.  Negative fateful life events in midlife and advanced predicted brain aging.

Authors:  Sean N Hatton; Carol E Franz; Jeremy A Elman; Matthew S Panizzon; Donald J Hagler; Christine Fennema-Notestine; Lisa T Eyler; Linda K McEvoy; Michael J Lyons; Anders M Dale; William S Kremen
Journal:  Neurobiol Aging       Date:  2018-03-08       Impact factor: 4.673

8.  Pupillary dilation responses as a midlife indicator of risk for Alzheimer's disease: association with Alzheimer's disease polygenic risk.

Authors:  William S Kremen; Matthew S Panizzon; Jeremy A Elman; Eric L Granholm; Ole A Andreassen; Anders M Dale; Nathan A Gillespie; Daniel E Gustavson; Mark W Logue; Michael J Lyons; Michael C Neale; Chandra A Reynolds; Nathan Whitsel; Carol E Franz
Journal:  Neurobiol Aging       Date:  2019-09-09       Impact factor: 4.673

9.  Cognitive workload during verbal abstract reasoning in Parkinson's disease: a pilot study.

Authors:  Sanghee Moon; Melike Kahya; Kelly E Lyons; Rajesh Pahwa; Abiodun E Akinwuntan; Hannes Devos
Journal:  Int J Neurosci       Date:  2020-04-07       Impact factor: 2.292

10.  PupilEXT: Flexible Open-Source Platform for High-Resolution Pupillometry in Vision Research.

Authors:  Babak Zandi; Moritz Lode; Alexander Herzog; Georgios Sakas; Tran Quoc Khanh
Journal:  Front Neurosci       Date:  2021-06-18       Impact factor: 4.677

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