Harmonization of multi-scanner in vivo magnetic resonance spectroscopy: ENIGMA consortium task group considerations

Publikation: Beitrag in FachzeitschriftÜbersichtsartikel (Review)BeigetragenBegutachtung

Beitragende

  • Ashley D. Harris - , University of Calgary (Autor:in)
  • Houshang Amiri - , Kerman University of Medical Sciences (Autor:in)
  • Mariana Bento - , University of Calgary (Autor:in)
  • Ronald Cohen - , University of Florida (Autor:in)
  • Christopher R.K. Ching - , University of Southern California (Autor:in)
  • Christina Cudalbu - , CIBM Center for Biomedical Imaging, École Polytechnique Fédérale de Lausanne (Autor:in)
  • Emily L. Dennis - , University of Utah (Autor:in)
  • Arne Doose - , Psychosoziale Medizin und Entwicklungsneurowissenschaften (Autor:in)
  • Stefan Ehrlich - , Psychosoziale Medizin und Entwicklungsneurowissenschaften (Autor:in)
  • Ivan I. Kirov - , New York University (Autor:in)
  • Ralf Mekle - , Charité – Universitätsmedizin Berlin (Autor:in)
  • Georg Oeltzschner - , Johns Hopkins University (Autor:in)
  • Eric Porges - , University of Florida (Autor:in)
  • Roberto Souza - , University of Calgary (Autor:in)
  • Friederike I. Tam - , Psychosoziale Medizin und Entwicklungsneurowissenschaften (Autor:in)
  • Brian Taylor - , University of Texas MD Anderson Cancer Center (Autor:in)
  • Paul M. Thompson - , University of Southern California (Autor:in)
  • Yann Quidé - , University of New South Wales (Autor:in)
  • Elisabeth A. Wilde - , University of Utah (Autor:in)
  • John Williamson - , University of Florida (Autor:in)
  • Alexander P. Lin - , Harvard University (Autor:in)
  • Brenda Bartnik-Olson - , Loma Linda University Health (Autor:in)

Abstract

Magnetic resonance spectroscopy is a powerful, non-invasive, quantitative imaging technique that allows for the measurement of brain metabolites that has demonstrated utility in diagnosing and characterizing a broad range of neurological diseases. Its impact, however, has been limited due to small sample sizes and methodological variability in addition to intrinsic limitations of the method itself such as its sensitivity to motion. The lack of standardization from a data acquisition and data processing perspective makes it difficult to pool multiple studies and/or conduct multisite studies that are necessary for supporting clinically relevant findings. Based on the experience of the ENIGMA MRS work group and a review of the literature, this manuscript provides an overview of the current state of MRS data harmonization. Key factors that need to be taken into consideration when conducting both retrospective and prospective studies are described. These include (1) MRS acquisition issues such as pulse sequence, RF and B0 calibrations, echo time, and SNR; (2) data processing issues such as pre-processing steps, modeling, and quantitation; and (3) biological factors such as voxel location, age, sex, and pathology. Various approaches to MRS data harmonization are then described including meta-analysis, mega-analysis, linear modeling, ComBat and artificial intelligence approaches. The goal is to provide both novice and experienced readers with the necessary knowledge for conducting MRS data harmonization studies.

Details

OriginalspracheEnglisch
Aufsatznummer1045678
FachzeitschriftFrontiers in neurology
Jahrgang13
PublikationsstatusVeröffentlicht - 4 Jan. 2023
Peer-Review-StatusJa

Externe IDs

PubMedCentral PMC9845632
Scopus 85146469381
WOS 000914804900001
Mendeley fa8c2640-756c-3a9a-9a99-2a5157439764
ORCID /0000-0003-2132-4445/work/142236366
ORCID /0000-0002-5026-1239/work/142250314
ORCID /0000-0001-8333-867X/work/142251386

Schlagworte

Forschungsprofillinien der TU Dresden

ASJC Scopus Sachgebiete

Schlagwörter

  • brain, harmonization, magnetic resonance spectroscopy, multi-site, multi-vendor, prospective, retrospective