In-Clinic Measurements of Vascular Risk and Brain Activity

Background: Cardiovascular disease and dementia represent two health problems that may be causally connected. Studies have shown patients with dementia to have reduced cardiovascular health measures, where patients with dementia also have reduced electrophysiological brain activity as measured by ev...

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Main Authors: Jeffrey Boone, Anna H. Davids, David Joffe, Francesca Arese Lucini, David S. Oakley, Madeleine J. Oakley, Matthew Peterson
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Ageing and Longevity
Subjects:
Online Access:https://www.mdpi.com/2673-9259/2/3/20
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author Jeffrey Boone
Anna H. Davids
David Joffe
Francesca Arese Lucini
David S. Oakley
Madeleine J. Oakley
Matthew Peterson
author_facet Jeffrey Boone
Anna H. Davids
David Joffe
Francesca Arese Lucini
David S. Oakley
Madeleine J. Oakley
Matthew Peterson
author_sort Jeffrey Boone
collection DOAJ
description Background: Cardiovascular disease and dementia represent two health problems that may be causally connected. Studies have shown patients with dementia to have reduced cardiovascular health measures, where patients with dementia also have reduced electrophysiological brain activity as measured by event-related potentials (ERP’s). Few studies have attempted to correlate the two: cardiovascular health and ERP brain activity. The objective of this study is to determine if there are ERP differences between patients with lower versus higher measures of cardiovascular risk. Methods: For 180 patients ages 53 (16) years, Audio P300 ERP amplitudes and latencies (speeds) were measured upon initial patient visit alongside other clinical evaluations. Cardiovascular risk was categorized into good versus poor levels for blood pressure resting and stressed, E/A Ratio, atherosclerosis, and carotid intima-media thickness. Results: Groups with good levels had lower latencies (faster P300′s) and higher amplitudes than those with poor levels across all cardiovascular risk measures, significant to <i>p</i> < 0.05 for most parameters. While both cardiovascular health and P300 metrics decline with age, poor blood pressure and plaque was seen to affect P300 performance across all age groups in this study. Conclusion: These data suggest correlation between brain activity, as measured by the P300, and five standard measures of cardiovascular health and this correlation may begin at an early age. While further explorations are warranted, these results could have implications on the management of preventative medicine by bringing preventative cardiology and brain health together.
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spelling doaj.art-79c73ad1fd7a48ff9900437af9674eab2023-11-24T08:46:41ZengMDPI AGJournal of Ageing and Longevity2673-92592022-08-012324025110.3390/jal2030020In-Clinic Measurements of Vascular Risk and Brain ActivityJeffrey Boone0Anna H. Davids1David Joffe2Francesca Arese Lucini3David S. Oakley4Madeleine J. Oakley5Matthew Peterson6School of Medicine, University of Colorado, Denver, CO 80045, USAEastern Virginia Medical School, Norfolk, VA 23507, USAWAVi Research, Boulder, CO 80101, USAWAVi Research, Boulder, CO 80101, USAWAVi Research, Boulder, CO 80101, USADepartment of Linguistics, Georgetown University, Washington, DC 20057, USABaylor College of Medicine, Houston, TX 77030, USABackground: Cardiovascular disease and dementia represent two health problems that may be causally connected. Studies have shown patients with dementia to have reduced cardiovascular health measures, where patients with dementia also have reduced electrophysiological brain activity as measured by event-related potentials (ERP’s). Few studies have attempted to correlate the two: cardiovascular health and ERP brain activity. The objective of this study is to determine if there are ERP differences between patients with lower versus higher measures of cardiovascular risk. Methods: For 180 patients ages 53 (16) years, Audio P300 ERP amplitudes and latencies (speeds) were measured upon initial patient visit alongside other clinical evaluations. Cardiovascular risk was categorized into good versus poor levels for blood pressure resting and stressed, E/A Ratio, atherosclerosis, and carotid intima-media thickness. Results: Groups with good levels had lower latencies (faster P300′s) and higher amplitudes than those with poor levels across all cardiovascular risk measures, significant to <i>p</i> < 0.05 for most parameters. While both cardiovascular health and P300 metrics decline with age, poor blood pressure and plaque was seen to affect P300 performance across all age groups in this study. Conclusion: These data suggest correlation between brain activity, as measured by the P300, and five standard measures of cardiovascular health and this correlation may begin at an early age. While further explorations are warranted, these results could have implications on the management of preventative medicine by bringing preventative cardiology and brain health together.https://www.mdpi.com/2673-9259/2/3/20electroencephalogram (EEG)P300event related potential (ERP)brainwavecardiovascular disease (CVD)
spellingShingle Jeffrey Boone
Anna H. Davids
David Joffe
Francesca Arese Lucini
David S. Oakley
Madeleine J. Oakley
Matthew Peterson
In-Clinic Measurements of Vascular Risk and Brain Activity
Journal of Ageing and Longevity
electroencephalogram (EEG)
P300
event related potential (ERP)
brainwave
cardiovascular disease (CVD)
title In-Clinic Measurements of Vascular Risk and Brain Activity
title_full In-Clinic Measurements of Vascular Risk and Brain Activity
title_fullStr In-Clinic Measurements of Vascular Risk and Brain Activity
title_full_unstemmed In-Clinic Measurements of Vascular Risk and Brain Activity
title_short In-Clinic Measurements of Vascular Risk and Brain Activity
title_sort in clinic measurements of vascular risk and brain activity
topic electroencephalogram (EEG)
P300
event related potential (ERP)
brainwave
cardiovascular disease (CVD)
url https://www.mdpi.com/2673-9259/2/3/20
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