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Early grey matter changes in structural covariance networks in Huntington's disease.
Neuroimage Clin 2016; 12:806-814NC

Abstract

BACKGROUND

Progressive subcortical changes are known to occur in Huntington's disease (HD), a hereditary neurodegenerative disorder. Less is known about the occurrence and cohesion of whole brain grey matter changes in HD.

OBJECTIVES

We aimed to detect network integrity changes in grey matter structural covariance networks and examined relationships with clinical assessments.

METHODS

Structural magnetic resonance imaging data of premanifest HD (n = 30), HD patients (n = 30) and controls (n = 30) was used to identify ten structural covariance networks based on a novel technique using the co-variation of grey matter with independent component analysis in FSL. Group differences were studied controlling for age and gender. To explore whether our approach is effective in examining grey matter changes, regional voxel-based analysis was additionally performed.

RESULTS

Premanifest HD and HD patients showed decreased network integrity in two networks compared to controls. One network included the caudate nucleus, precuneous and anterior cingulate cortex (in HD p < 0.001, in pre-HD p = 0.003). One other network contained the hippocampus, premotor, sensorimotor, and insular cortices (in HD p < 0.001, in pre-HD p = 0.023). Additionally, in HD patients only, decreased network integrity was observed in a network including the lingual gyrus, intracalcarine, cuneal, and lateral occipital cortices (p = 0.032). Changes in network integrity were significantly associated with scores of motor and neuropsychological assessments. In premanifest HD, voxel-based analyses showed pronounced volume loss in the basal ganglia, but less prominent in cortical regions.

CONCLUSION

Our results suggest that structural covariance might be a sensitive approach to reveal early grey matter changes, especially for premanifest HD.

Authors+Show Affiliations

Department of Neurology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands.Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands.Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands; Department of Methodology and Statistics, Institute of Psychology, Leiden University, PO Box 9555, 2300 RB Leiden, The Netherlands; Leiden Institute for Brain and Cognition, Leiden University, PO Box 9600, 2300 RC Leiden, The Netherlands.Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands; Department of Methodology and Statistics, Institute of Psychology, Leiden University, PO Box 9555, 2300 RB Leiden, The Netherlands; Leiden Institute for Brain and Cognition, Leiden University, PO Box 9600, 2300 RC Leiden, The Netherlands.Department of Neurology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

27830113

Citation

Coppen, Emma M., et al. "Early Grey Matter Changes in Structural Covariance Networks in Huntington's Disease." NeuroImage. Clinical, vol. 12, 2016, pp. 806-814.
Coppen EM, van der Grond J, Hafkemeijer A, et al. Early grey matter changes in structural covariance networks in Huntington's disease. Neuroimage Clin. 2016;12:806-814.
Coppen, E. M., van der Grond, J., Hafkemeijer, A., Rombouts, S. A., & Roos, R. A. (2016). Early grey matter changes in structural covariance networks in Huntington's disease. NeuroImage. Clinical, 12, pp. 806-814.
Coppen EM, et al. Early Grey Matter Changes in Structural Covariance Networks in Huntington's Disease. Neuroimage Clin. 2016;12:806-814. PubMed PMID: 27830113.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Early grey matter changes in structural covariance networks in Huntington's disease. AU - Coppen,Emma M, AU - van der Grond,Jeroen, AU - Hafkemeijer,Anne, AU - Rombouts,Serge A R B, AU - Roos,Raymund A C, Y1 - 2016/10/12/ PY - 2016/06/10/received PY - 2016/09/27/revised PY - 2016/10/11/accepted PY - 2016/11/11/entrez PY - 2016/11/11/pubmed PY - 2017/11/7/medline KW - CAG, cytosine-adenine-guanine KW - Grey matter KW - HD, Huntington's disease KW - HTT, Huntingtin KW - Huntington's disease KW - ICA, Independent Component Analysis KW - MMSE, Mini Mental State Examination KW - MNI, Montreal Neurological Institute KW - SDMT, Symbol Digit Modality Test KW - Structural MRI KW - Structural covariance networks KW - TFC, Total Functional Capacity KW - TMS, Total Motor Score KW - TMT, Trail-Making Test KW - UHDRS, Unified Huntington's Disease Rating Scale KW - VBM, Voxel-Based Morphometry KW - Voxel-based morphometry SP - 806 EP - 814 JF - NeuroImage. Clinical JO - Neuroimage Clin VL - 12 N2 - BACKGROUND: Progressive subcortical changes are known to occur in Huntington's disease (HD), a hereditary neurodegenerative disorder. Less is known about the occurrence and cohesion of whole brain grey matter changes in HD. OBJECTIVES: We aimed to detect network integrity changes in grey matter structural covariance networks and examined relationships with clinical assessments. METHODS: Structural magnetic resonance imaging data of premanifest HD (n = 30), HD patients (n = 30) and controls (n = 30) was used to identify ten structural covariance networks based on a novel technique using the co-variation of grey matter with independent component analysis in FSL. Group differences were studied controlling for age and gender. To explore whether our approach is effective in examining grey matter changes, regional voxel-based analysis was additionally performed. RESULTS: Premanifest HD and HD patients showed decreased network integrity in two networks compared to controls. One network included the caudate nucleus, precuneous and anterior cingulate cortex (in HD p < 0.001, in pre-HD p = 0.003). One other network contained the hippocampus, premotor, sensorimotor, and insular cortices (in HD p < 0.001, in pre-HD p = 0.023). Additionally, in HD patients only, decreased network integrity was observed in a network including the lingual gyrus, intracalcarine, cuneal, and lateral occipital cortices (p = 0.032). Changes in network integrity were significantly associated with scores of motor and neuropsychological assessments. In premanifest HD, voxel-based analyses showed pronounced volume loss in the basal ganglia, but less prominent in cortical regions. CONCLUSION: Our results suggest that structural covariance might be a sensitive approach to reveal early grey matter changes, especially for premanifest HD. SN - 2213-1582 UR - https://www.unboundmedicine.com/medline/citation/27830113/Early_grey_matter_changes_in_structural_covariance_networks_in_Huntington's_disease_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S2213-1582(16)30190-5 DB - PRIME DP - Unbound Medicine ER -