Scan-rescan repeatability of axonal imaging metrics using high-gradient diffusion MRI and statistical implications for study design.

Axon diameter Brain Diffusion MRI High b-value Human Connectome Project (HCP) Human connectom scanner Reproducibility Scan-Rescan Spherical Mean Technique (SMT) Tissue microstructure White matter

Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 10 2021
Historique:
received: 07 01 2021
revised: 12 05 2021
accepted: 26 06 2021
pubmed: 4 7 2021
medline: 21 10 2021
entrez: 3 7 2021
Statut: ppublish

Résumé

Axon diameter mapping using diffusion MRI in the living human brain has attracted growing interests with the increasing availability of high gradient strength MRI systems. A systematic assessment of the consistency of axon diameter estimates within and between individuals is needed to gain a comprehensive understanding of how such methods extend to quantifying differences in axon diameter index between groups and facilitate the design of neurobiological studies using such measures. We examined the scan-rescan repeatability of axon diameter index estimation based on the spherical mean technique (SMT) approach using diffusion MRI data acquired with gradient strengths up to 300 mT/m on a 3T Connectom system in 7 healthy volunteers. We performed statistical power analyses using data acquired with the same protocol in a larger cohort consisting of 15 healthy adults to investigate the implications for study design. Results revealed a high degree of repeatability in voxel-wise restricted volume fraction estimates and tract-wise estimates of axon diameter index derived from high-gradient diffusion MRI data. On the region of interest (ROI) level, across white matter tracts in the whole brain, the Pearson's correlation coefficient of the axon diameter index estimated between scan and rescan experiments was r = 0.72 with an absolute deviation of 0.18 μm. For an anticipated 10% effect size in studies of axon diameter index, most white matter regions required a sample size of less than 15 people to observe a measurable difference between groups using an ROI-based approach. To facilitate the use of high-gradient strength diffusion MRI data for neuroscientific studies of axonal microstructure, the comprehensive multi-gradient strength, multi-diffusion time data used in this work will be made publicly available, in support of open science and increasing the accessibility of such data to the greater scientific community.

Identifiants

pubmed: 34216774
pii: S1053-8119(21)00599-1
doi: 10.1016/j.neuroimage.2021.118323
pmc: PMC8646020
mid: NIHMS1741051
pii:
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

118323

Subventions

Organisme : NIMH NIH HHS
ID : U01 MH093765
Pays : United States
Organisme : NINDS NIH HHS
ID : K23 NS078044
Pays : United States
Organisme : NIBIB NIH HHS
ID : P41 EB030006
Pays : United States
Organisme : NCRR NIH HHS
ID : S10 RR023043
Pays : United States
Organisme : NINDS NIH HHS
ID : K23 NS096056
Pays : United States
Organisme : NIBIB NIH HHS
ID : R00 EB015445
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS118187
Pays : United States
Organisme : NCRR NIH HHS
ID : S10 RR019307
Pays : United States
Organisme : NIBIB NIH HHS
ID : U01 EB026996
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB006847
Pays : United States
Organisme : NIBIB NIH HHS
ID : P41 EB015896
Pays : United States
Organisme : NCRR NIH HHS
ID : S10 RR023401
Pays : United States

Informations de copyright

Copyright © 2021. Published by Elsevier Inc.

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Auteurs

Qiuyun Fan (Q)

Academy of Medical Engineering and Translational Medicine, Medical College, Tianjin University, Tianjin, China; Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Harvard Medical School, Boston, MA, USA.

Maya N Polackal (MN)

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States.

Qiyuan Tian (Q)

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Harvard Medical School, Boston, MA, USA.

Chanon Ngamsombat (C)

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Harvard Medical School, Boston, MA, USA; Department of Radiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Thailand.

Aapo Nummenmaa (A)

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Harvard Medical School, Boston, MA, USA.

Thomas Witzel (T)

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Harvard Medical School, Boston, MA, USA.

Eric C Klawiter (EC)

Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.

Susie Y Huang (SY)

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Harvard Medical School, Boston, MA, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States. Electronic address: susie.huang@mgh.harvard.edu.

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