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  4. Structural brain changes in medically refractory focal epilepsy resemble premature brain aging
 
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Structural brain changes in medically refractory focal epilepsy resemble premature brain aging
File(s)
hpardoe_epilepsy_brainage_20170508.pdf (202.73 KB)
Accepted version
Author(s)
Pardoe, HR
Cole, JH
Blackmon, K
Thesen, T
Kuzniecky, R
Type
Journal Article
Abstract
Objective: We used whole brain T1-weighted MRIto estimate the age of individuals with medically refractory
focal epilepsy, and compared with individuals with newly diagnosed focal epilepsy and healthy
controls. The difference between neuroanatomical age and chronological age was compared between
the three groups.
Methods: Neuroanatomical age was estimated using a machine learning-based method that was trained
using structural MRI scans from a large independent healthy control sample (N = 2001). The prediction
model was then used to estimate age from MRI scans obtained from newly diagnosed focal epilepsy
patients (N = 42), medically refractory focal epilepsy patients (N = 94) and healthy controls (N = 74).
Results: Individuals with medically refractory epilepsy had a difference between predicted brain age and
chronological age that was on average 4.5 years older than healthy controls (p = 4.6 × 10−5). No significant
differences were observed in newly diagnosed focal epilepsy. Earlier age of onset was associated with an
increased brain age difference in the medically refractory group (p = 0.034).
Significance: Medically refractory focal epilepsy is associated with structural brain changes that resemble
premature brain aging.
Date Issued
2017-04-03
Date Acceptance
2017-03-28
Citation
Epilepsy Research, 2017, 133, pp.28-32
URI
http://hdl.handle.net/10044/1/49994
DOI
https://www.dx.doi.org/10.1016/j.eplepsyres.2017.03.007
ISSN
0920-1211
Publisher
Elsevier
Start Page
28
End Page
32
Journal / Book Title
Epilepsy Research
Volume
133
Copyright Statement
© 2017 Elsevier B.V. All rights reserved. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000403117700006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Clinical Neurology
Neurosciences & Neurology
Machine learning
Neuroimaging
Seizures
TEMPORAL-LOBE EPILEPSY
VOXEL-BASED MORPHOMETRY
DYSPLASIA TYPE-II
CORTICAL DYSPLASIA
GRAY-MATTER
MRI
THICKNESS
ATROPHY
SCHIZOPHRENIA
CONNECTOME
Human Epilepsy Project Investigators
1103 Clinical Sciences
Neurology & Neurosurgery
Publication Status
Published
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