Grey and white matter differences in Chronic Fatigue Syndrome: A voxel-based morphometry study

Andreas Finkelmeyer; Jiabao He; Laura Maclachlan; Stuart Watson; Peter  Gallagher; Julia L. Newton; Andrew M. Blamire

doi:10.1016/j.nicl.2017.09.024

Grey and white matter differences in Chronic Fatigue Syndrome: A voxel-based morphometry study

Andreas Finkelmeyer, Jiabao He, Laura Maclachlan, Stuart Watson, Peter Gallagher, Julia L. Newton, Andrew M. Blamire

Research output: Contribution to journal › Article › peer-review

40 Citations (Scopus)

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Abstract

Objective
Investigate global and regional grey and white matter volumes in patients with Chronic Fatigue Syndrome (CFS) using magnetic resonance imaging (MRI) and recent voxel-based morphometry (VBM) methods.

Methods
Forty-two patients with CFS and thirty healthy volunteers were scanned on a 3-Tesla MRI scanner. Anatomical MRI scans were segmented, normalized and submitted to a VBM analysis using randomisation methods. Group differences were identified in overall segment volumes and voxel-wise in spatially normalized grey matter (GM) and white matter (WM) segments.

Results
Accounting for total intracranial volume, patients had larger GM volume and lower WM volume. The voxel-wise analysis showed increased GM volume in several structures including the amygdala and insula in the patient group. Reductions in WM volume in the patient group were seen primarily in the midbrain, pons and right temporal lobe.

Conclusion
Elevated GM volume in CFS is seen in areas related to processing of interoceptive signals and stress. Reduced WM volume in the patient group partially supports earlier findings of WM abnormalities in regions of the midbrain and brainstem.

Original language	English
Pages (from-to)	24-30
Number of pages	7
Journal	NeuroImage: Clinical
Volume	17
Early online date	28 Sept 2017
DOIs	https://doi.org/10.1016/j.nicl.2017.09.024
Publication status	Published - 2018

Bibliographical note

Conflicts of interest and source of funding
The authors declare no conflicts of interest. This research was funded by the Medical Research Council (MR/J002712/1). AF is supported by Research Capability Funding from the Newcastle upon Tyne Hospitals NHS Foundation Trust and the Northumberland, Tyne and Wear NHS Foundation Trust.

Keywords

Chronic Fatigue Syndrome
Voxel-based morphometry
Insula
Amygdala
Midbrain

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10.1016/j.nicl.2017.09.024Licence: CC BY

Grey and white matter differences in Chronic Fatigue Syndrome – A voxel-based morphometry study
© 2017 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/)
Final published version, 510 KBLicence: CC BY

Cite this

@article{ec2d8d44e39c45c59da3eab9cfdb5812,

title = "Grey and white matter differences in Chronic Fatigue Syndrome: A voxel-based morphometry study",

abstract = "ObjectiveInvestigate global and regional grey and white matter volumes in patients with Chronic Fatigue Syndrome (CFS) using magnetic resonance imaging (MRI) and recent voxel-based morphometry (VBM) methods.MethodsForty-two patients with CFS and thirty healthy volunteers were scanned on a 3-Tesla MRI scanner. Anatomical MRI scans were segmented, normalized and submitted to a VBM analysis using randomisation methods. Group differences were identified in overall segment volumes and voxel-wise in spatially normalized grey matter (GM) and white matter (WM) segments.ResultsAccounting for total intracranial volume, patients had larger GM volume and lower WM volume. The voxel-wise analysis showed increased GM volume in several structures including the amygdala and insula in the patient group. Reductions in WM volume in the patient group were seen primarily in the midbrain, pons and right temporal lobe.ConclusionElevated GM volume in CFS is seen in areas related to processing of interoceptive signals and stress. Reduced WM volume in the patient group partially supports earlier findings of WM abnormalities in regions of the midbrain and brainstem.",

keywords = "Chronic Fatigue Syndrome, Voxel-based morphometry, Insula, Amygdala, Midbrain",

author = "Andreas Finkelmeyer and Jiabao He and Laura Maclachlan and Stuart Watson and Peter Gallagher and Newton, {Julia L.} and Blamire, {Andrew M.}",

note = "Conflicts of interest and source of funding The authors declare no conflicts of interest. This research was funded by the Medical Research Council (MR/J002712/1). AF is supported by Research Capability Funding from the Newcastle upon Tyne Hospitals NHS Foundation Trust and the Northumberland, Tyne and Wear NHS Foundation Trust.",

year = "2018",

doi = "10.1016/j.nicl.2017.09.024",

language = "English",

volume = "17",

pages = "24--30",

journal = "NeuroImage: Clinical",

issn = "2213-1582",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Grey and white matter differences in Chronic Fatigue Syndrome

T2 - A voxel-based morphometry study

AU - Finkelmeyer, Andreas

AU - He, Jiabao

AU - Maclachlan, Laura

AU - Watson, Stuart

AU - Gallagher, Peter

AU - Newton, Julia L.

AU - Blamire, Andrew M.

N1 - Conflicts of interest and source of funding The authors declare no conflicts of interest. This research was funded by the Medical Research Council (MR/J002712/1). AF is supported by Research Capability Funding from the Newcastle upon Tyne Hospitals NHS Foundation Trust and the Northumberland, Tyne and Wear NHS Foundation Trust.

PY - 2018

Y1 - 2018

N2 - ObjectiveInvestigate global and regional grey and white matter volumes in patients with Chronic Fatigue Syndrome (CFS) using magnetic resonance imaging (MRI) and recent voxel-based morphometry (VBM) methods.MethodsForty-two patients with CFS and thirty healthy volunteers were scanned on a 3-Tesla MRI scanner. Anatomical MRI scans were segmented, normalized and submitted to a VBM analysis using randomisation methods. Group differences were identified in overall segment volumes and voxel-wise in spatially normalized grey matter (GM) and white matter (WM) segments.ResultsAccounting for total intracranial volume, patients had larger GM volume and lower WM volume. The voxel-wise analysis showed increased GM volume in several structures including the amygdala and insula in the patient group. Reductions in WM volume in the patient group were seen primarily in the midbrain, pons and right temporal lobe.ConclusionElevated GM volume in CFS is seen in areas related to processing of interoceptive signals and stress. Reduced WM volume in the patient group partially supports earlier findings of WM abnormalities in regions of the midbrain and brainstem.

AB - ObjectiveInvestigate global and regional grey and white matter volumes in patients with Chronic Fatigue Syndrome (CFS) using magnetic resonance imaging (MRI) and recent voxel-based morphometry (VBM) methods.MethodsForty-two patients with CFS and thirty healthy volunteers were scanned on a 3-Tesla MRI scanner. Anatomical MRI scans were segmented, normalized and submitted to a VBM analysis using randomisation methods. Group differences were identified in overall segment volumes and voxel-wise in spatially normalized grey matter (GM) and white matter (WM) segments.ResultsAccounting for total intracranial volume, patients had larger GM volume and lower WM volume. The voxel-wise analysis showed increased GM volume in several structures including the amygdala and insula in the patient group. Reductions in WM volume in the patient group were seen primarily in the midbrain, pons and right temporal lobe.ConclusionElevated GM volume in CFS is seen in areas related to processing of interoceptive signals and stress. Reduced WM volume in the patient group partially supports earlier findings of WM abnormalities in regions of the midbrain and brainstem.

KW - Chronic Fatigue Syndrome

KW - Voxel-based morphometry

KW - Insula

KW - Amygdala

KW - Midbrain

U2 - 10.1016/j.nicl.2017.09.024

DO - 10.1016/j.nicl.2017.09.024

M3 - Article

SN - 2213-1582

VL - 17

SP - 24

EP - 30

JO - NeuroImage: Clinical

JF - NeuroImage: Clinical

ER -

Grey and white matter differences in Chronic Fatigue Syndrome: A voxel-based morphometry study

Abstract

Bibliographical note

Keywords

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