Young versus older subject diffusion magnetic resonance imaging data for virtual white matter lesion tractography.


Journal

Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065

Informations de publication

Date de publication:
07 2023
Historique:
revised: 12 04 2023
received: 08 11 2022
accepted: 17 04 2023
medline: 13 6 2023
pubmed: 6 5 2023
entrez: 6 5 2023
Statut: ppublish

Résumé

White matter hyperintensity (WMH) lesions on T2 fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) and changes in adjacent normal-appearing white matter can disrupt computerized tract reconstruction and result in inaccurate measures of structural brain connectivity. The virtual lesion approach provides an alternative strategy for estimating structural connectivity changes due to WMH. To assess the impact of using young versus older subject diffusion MRI data for virtual lesion tractography, we leveraged recently available diffusion MRI data from the Human Connectome Project (HCP) Lifespan database. Neuroimaging data from 50 healthy young (39.2 ± 1.6 years) and 46 healthy older (74.2 ± 2.5 years) subjects were obtained from the publicly available HCP-Aging database. Three WMH masks with low, moderate, and high lesion burdens were extracted from the WMH lesion frequency map of locally acquired FLAIR MRI data. Deterministic tractography was conducted to extract streamlines in 21 WM bundles with and without the WMH masks as regions of avoidance in both young and older cohorts. For intact tractography without virtual lesion masks, 7 out of 21 WM pathways showed a significantly lower number of streamlines in older subjects compared to young subjects. A decrease in streamline count with higher native lesion burden was found in corpus callosum, corticostriatal tract, and fornix pathways. Comparable percentages of affected streamlines were obtained in young and older groups with virtual lesion tractography using the three WMH lesion masks of increasing severity. We conclude that using normative diffusion MRI data from young subjects for virtual lesion tractography of WMH is, in most cases, preferable to using age-matched normative data.

Identifiants

pubmed: 37148501
doi: 10.1002/hbm.26326
pmc: PMC10258527
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3943-3953

Subventions

Organisme : NIA NIH HHS
ID : R21 AG070434
Pays : United States
Organisme : NIA NIH HHS
ID : R03 AG063213
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG072979
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS111115
Pays : United States

Informations de copyright

© 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

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Auteurs

Mohammad Taghvaei (M)

Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Philip Cook (P)

Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Shokufeh Sadaghiani (S)

Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Banafsheh Shakibajahromi (B)

Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

William Tackett (W)

Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Sudipto Dolui (S)

Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Debarun De (D)

Department of Computer Engineering, University of Illinois, Urbana, Illinois, USA.

Christopher Brown (C)

Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Pulkit Khandelwal (P)

Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Paul Yushkevich (P)

Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Sandhitsu Das (S)

Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

David A Wolk (DA)

Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

John A Detre (JA)

Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

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