Cross-sectional and longitudinal voxel-based grey matter asymmetries in Huntington's disease

Abstract: Huntington's disease (HD) is a progressive neurodegenerative disorder that can be genetically confirmed with certainty decades before clinical onset. This allows the investigation of functional and structural changes in HD many years prior to disease onset, which may reveal important mechanistic insights into brain function, structure and organization in general. While regional atrophy is present at early stages of HD, it is still unclear if both hemispheres are equally affected by neurodegeneration and how the extent of asymmetry affects domain-specific functional decline. Here, we used whole-brain voxel-based analysis to investigate cross-sectional and longitudinal hemispheric asymmetries in grey matter (GM) volume in 56 manifest HD (mHD), 83 pre-manifest HD (preHD), and 80 healthy controls (HC). Furthermore, a regression analysis was used to assess the relationship between neuroanatomical asymmetries and decline in motor and cognitive measures across the disease spectrum. The cross-sectional analysis showed striatal leftward-biased GM atrophy in mHD, but not in preHD, relative to HC. Longitudinally, no net 36-month change in GM asymmetries was found in any of the groups. In the regression analysis, HD-related decline in quantitative-motor (Q-Motor) performance was linked to lower GM volume in the left superior parietal cortex. These findings suggest a stronger disease effect targeting the left hemisphere, especially in those with declining motor performance. This effect did not change over a period of three years and may indicate a compensatory role of the right hemisphere in line with recent functional imaging studies

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch
• Anmerkungen: NeuroImage: Cinical. 17 (2018), 312-324, DOI 10.1016/j.nicl.2017.10.023, doi: 2213-1582 ; cc_by_nc_nd http://creativecommons.org/licenses/by-nc-nd/4.0/deed.de cc

Klassifikation und Themen

• Schlagwort: Voxel-basierte Morphometrie ; Asymmetrie ; Kernspintomografie ; Hirnkrankheit ; Neuropsychiatrie ; Nervenkrankheit

Beteiligte, Orts- und Zeitangaben

• Ereignis: Veröffentlichung
• (wo): Freiburg
• (wer): Universität
• (wann): 2017
• Urheber: Minkova, Lora ; Gregory, Sarah ; Scahill, Rachael I. ; Abdulkadir, Ahmed ; Kaller, Christoph ; Peter, Jessica ; Roos, Raymund A. ; Durr, Alexandra ; Leavitt, Blair R. ; Tabrizi, Sarah J. ; Klöppel, Stefan
• Beteiligte Personen und Organisationen: Klinik für Psychiatrie und Psychotherapie. Freiburg im Breisgau ; Freiburg Brain Imaging ; Albert-Ludwigs-Universität Freiburg. Abteilung Biologische und Differentielle Psychologie ; Albert-Ludwigs-Universität Freiburg. Institut für Informatik ; Klinik für Neurologie und Neurophysiologie ; BrainLinks - BrainTools Acting.Thoughts ; Albert-Ludwigs-Universität Freiburg. Medizinische Fakultät ; Albert-Ludwigs-Universität Freiburg. Fakultät für Angewandte Wissenschaften ; Albert-Ludwigs-Universität Freiburg. Wirtschafts- und Verhaltenswissenschaftliche Fakultät ; Albert-Ludwigs-Universität Freiburg

Weitere Informationen

• DOI: 10.1016/j.nicl.2017.10.023
• URN: urn:nbn:de:bsz:25-freidok-135743
• Rechteinformation: Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 25.03.2025, 13:44 MEZ