TY - JOUR
T1 - Lipid-suppressed and tissue-fraction corrected metabolic distributions in human central brain structures using 2D
1H magnetic resonance spectroscopic imaging at 7 T
AU - Bhogal, Alex A
AU - Broeders, Tommy A A
AU - Morsinkhof, Lisan
AU - Edens, Mirte
AU - Nassirpour, Sahar
AU - Chang, Paul
AU - Klomp, Dennis W J
AU - Vinkers, Christiaan H
AU - Wijnen, Jannie P
N1 - Funding Information:
This research was supported by a Brain and Behavior Research Foundation NARSAD Young Investigator Award (Christiaan Vinkers, 24074). The authors would like to acknowledge Philippe Cornelisse for his assistance in data acquisition.
Publisher Copyright:
© 2020 The Authors. Brain and Behavior published by Wiley Periodicals LLC
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
Funding Information:
This research was supported by a Brain and Behavior Research Foundation NARSAD Young Investigator Award (Christiaan Vinkers, 24074). The authors would like to acknowledge Philippe Cornelisse for his assistance in data acquisition.
Publisher Copyright:
© 2020 The Authors. Brain and Behavior published by Wiley Periodicals LLC
PY - 2020/12
Y1 - 2020/12
N2 - INTRODUCTION: Magnetic resonance spectroscopic imaging (MRSI) has the potential to add a layer of understanding of the neurobiological mechanisms underlying brain diseases, disease progression, and treatment efficacy. Limitations related to metabolite fitting of low signal-to-noise ratios data, signal variations due to partial-volume effects, acquisition and extracranial lipid artifacts, along with clinically relevant aspects such as scan time constraints, are among the challenges associated with in vivo MRSI.METHODS: The aim of this work was to address some of these factors and to develop an acquisition, reconstruction, and postprocessing pipeline to derive lipid-suppressed metabolite values of central brain structures based on free-induction decay measurements made using a 7 T MR scanner. Anatomical images were used to perform high-resolution (1 mm3 ) partial-volume correction to account for gray matter, white matter (WM), and cerebral-spinal fluid signal contributions. Implementation of automatic quality control thresholds and normalization of metabolic maps from 23 subjects to the Montreal Neurological Institute (MNI) standard atlas facilitated the creation of high-resolution average metabolite maps of several clinically relevant metabolites in central brain regions, while accounting for macromolecular distributions. Partial-volume correction improved the delineation of deep brain nuclei. We report average metabolite values including glutamate + glutamine (Glx), glycerophosphocholine, choline and phosphocholine (tCho), (phospo)creatine, myo-inositol and glycine (mI-Gly), glutathione, N-acetyl-aspartyl glutamate(and glutamine), and N-acetyl-aspartate in the basal ganglia, central WM (thalamic radiation, corpus callosum) as well as insular cortex and intracalcarine sulcus.CONCLUSION: MNI-registered average metabolite maps facilitate group-based analysis, thus offering the possibility to mitigate uncertainty in variable MRSI data.
AB - INTRODUCTION: Magnetic resonance spectroscopic imaging (MRSI) has the potential to add a layer of understanding of the neurobiological mechanisms underlying brain diseases, disease progression, and treatment efficacy. Limitations related to metabolite fitting of low signal-to-noise ratios data, signal variations due to partial-volume effects, acquisition and extracranial lipid artifacts, along with clinically relevant aspects such as scan time constraints, are among the challenges associated with in vivo MRSI.METHODS: The aim of this work was to address some of these factors and to develop an acquisition, reconstruction, and postprocessing pipeline to derive lipid-suppressed metabolite values of central brain structures based on free-induction decay measurements made using a 7 T MR scanner. Anatomical images were used to perform high-resolution (1 mm3 ) partial-volume correction to account for gray matter, white matter (WM), and cerebral-spinal fluid signal contributions. Implementation of automatic quality control thresholds and normalization of metabolic maps from 23 subjects to the Montreal Neurological Institute (MNI) standard atlas facilitated the creation of high-resolution average metabolite maps of several clinically relevant metabolites in central brain regions, while accounting for macromolecular distributions. Partial-volume correction improved the delineation of deep brain nuclei. We report average metabolite values including glutamate + glutamine (Glx), glycerophosphocholine, choline and phosphocholine (tCho), (phospo)creatine, myo-inositol and glycine (mI-Gly), glutathione, N-acetyl-aspartyl glutamate(and glutamine), and N-acetyl-aspartate in the basal ganglia, central WM (thalamic radiation, corpus callosum) as well as insular cortex and intracalcarine sulcus.CONCLUSION: MNI-registered average metabolite maps facilitate group-based analysis, thus offering the possibility to mitigate uncertainty in variable MRSI data.
KW - 7 T
KW - glutamate
KW - metabolic imaging
KW - MRSI
KW - proton spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=85096787402&partnerID=8YFLogxK
U2 - 10.1002/brb3.1852
DO - 10.1002/brb3.1852
M3 - Article
C2 - 33216472
SN - 2162-3279
VL - 10
SP - 1
EP - 14
JO - Brain and Behavior
JF - Brain and Behavior
IS - 12
M1 - e01852
ER -