P‐Wave Duration Is Associated With Aging Patterns in Structural Brain Networks

Background Impaired cardiac function is associated with cognitive impairment and brain imaging features of aging. Cardiac arrhythmias, including atrial fibrillation, are implicated in clinical and subclinical brain injuries. Even in the absence of a clinical diagnosis, subclinical or prodromal subst...

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Main Authors: Elizabeth Haddad, William Matloff, Gilsoon Park, Mengting Liu, Neda Jahanshad, Ho Sung Kim
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
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Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.124.035881
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author Elizabeth Haddad
William Matloff
Gilsoon Park
Mengting Liu
Neda Jahanshad
Ho Sung Kim
author_facet Elizabeth Haddad
William Matloff
Gilsoon Park
Mengting Liu
Neda Jahanshad
Ho Sung Kim
author_sort Elizabeth Haddad
collection DOAJ
description Background Impaired cardiac function is associated with cognitive impairment and brain imaging features of aging. Cardiac arrhythmias, including atrial fibrillation, are implicated in clinical and subclinical brain injuries. Even in the absence of a clinical diagnosis, subclinical or prodromal substrates of arrhythmias, including an abnormally long or short P‐wave duration (PWD), a measure associated with atrial abnormalities, have been associated with stroke and cognitive decline. However, the extent to which PWD has subclinical influences on overall aging patterns of the brain is not clearly understood. Methods and Results Here, using neuroimaging and ECG data from the UK Biobank, we use a novel regional “brain age” method to identify the brain aging networks associated with abnormal PWD. We find associations between short PWD and accelerated brain aging in the sensorimotor, frontoparietal, ventral attention, and dorsal attention networks, even in the absence of overt cardiac diseases. Conclusions These findings contribute to our understanding of the relationship between PWD and structural brain aging. This work emphasizes the need for continued study designs that consider brain‐based outcomes related to abnormally short PWD.
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series Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
spelling doaj-art-993e9be2867c43feb7b869e9db57221e2025-08-20T02:50:40ZengWileyJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease2047-99802024-12-01132310.1161/JAHA.124.035881P‐Wave Duration Is Associated With Aging Patterns in Structural Brain NetworksElizabeth Haddad0William Matloff1Gilsoon Park2Mengting Liu3Neda Jahanshad4Ho Sung Kim5Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine University of Southern California Los Angeles CA USAMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine University of Southern California Los Angeles CA USAMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine University of Southern California Los Angeles CA USAMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine University of Southern California Los Angeles CA USAMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine University of Southern California Los Angeles CA USAMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine University of Southern California Los Angeles CA USABackground Impaired cardiac function is associated with cognitive impairment and brain imaging features of aging. Cardiac arrhythmias, including atrial fibrillation, are implicated in clinical and subclinical brain injuries. Even in the absence of a clinical diagnosis, subclinical or prodromal substrates of arrhythmias, including an abnormally long or short P‐wave duration (PWD), a measure associated with atrial abnormalities, have been associated with stroke and cognitive decline. However, the extent to which PWD has subclinical influences on overall aging patterns of the brain is not clearly understood. Methods and Results Here, using neuroimaging and ECG data from the UK Biobank, we use a novel regional “brain age” method to identify the brain aging networks associated with abnormal PWD. We find associations between short PWD and accelerated brain aging in the sensorimotor, frontoparietal, ventral attention, and dorsal attention networks, even in the absence of overt cardiac diseases. Conclusions These findings contribute to our understanding of the relationship between PWD and structural brain aging. This work emphasizes the need for continued study designs that consider brain‐based outcomes related to abnormally short PWD.https://www.ahajournals.org/doi/10.1161/JAHA.124.035881brain agingECGmagnetic resonance imagingMRIP‐wave duration
spellingShingle Elizabeth Haddad
William Matloff
Gilsoon Park
Mengting Liu
Neda Jahanshad
Ho Sung Kim
P‐Wave Duration Is Associated With Aging Patterns in Structural Brain Networks
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
brain aging
ECG
magnetic resonance imaging
MRI
P‐wave duration
title P‐Wave Duration Is Associated With Aging Patterns in Structural Brain Networks
title_full P‐Wave Duration Is Associated With Aging Patterns in Structural Brain Networks
title_fullStr P‐Wave Duration Is Associated With Aging Patterns in Structural Brain Networks
title_full_unstemmed P‐Wave Duration Is Associated With Aging Patterns in Structural Brain Networks
title_short P‐Wave Duration Is Associated With Aging Patterns in Structural Brain Networks
title_sort p wave duration is associated with aging patterns in structural brain networks
topic brain aging
ECG
magnetic resonance imaging
MRI
P‐wave duration
url https://www.ahajournals.org/doi/10.1161/JAHA.124.035881
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AT mengtingliu pwavedurationisassociatedwithagingpatternsinstructuralbrainnetworks
AT nedajahanshad pwavedurationisassociatedwithagingpatternsinstructuralbrainnetworks
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