Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/154229
Title: Specific patterns of brain alterations underlie distinct clinical profiles in Huntington's disease
Author: García-Gorro, C.
Llera, A.
Martínez Horta, Saúl
Pérez-Pérez, J.
Kulisevsky, Jaime
Rodríguez-Dechichá, N.
Vaquer, I.
Subirà Álvarez, Susana
Calopa, M.
Muñoz García, José Esteban
Santacruz, P.
Ruiz-Idiago, J.
Mareca, C.
Beckmann, C.F.
Diego Balaguer, Ruth de
Camara Mancha Estela
Keywords: Corea de Huntington
Diferències individuals
Imatges per ressonància magnètica
Huntington's chorea
Individual differences
Magnetic resonance imaging
Issue Date: 19-Jun-2019
Publisher: Elsevier
Abstract: Huntington's disease (HD) is a genetic neurodegenerative disease which involves a triad of motor, cognitive and psychiatric disturbances. However, there is great variability in the prominence of each type of symptom across individuals. The neurobiological basis of such variability remains poorly understood but would be crucial for better tailored treatments. Multivariate multimodal neuroimaging approaches have been successful in disentangling these profiles in other disorders. Thus we applied for the first time such approach to HD. We studied the relationship between HD symptom domains and multimodal measures sensitive to grey and white matter structural alterations. Forty-three HD gene carriers (23 manifest and 20 premanifest individuals) were scanned and underwent behavioural assessments evaluating motor, cognitive and psychiatric domains. We conducted a multimodal analysis integrating different structural neuroimaging modalities measuring grey matter volume, cortical thickness and white matter diffusion indices - fractional anisotropy and radial diffusivity. All neuroimaging measures were entered into a linked independent component analysis in order to obtain multimodal components reflecting common inter-subject variation across imaging modalities. The relationship between multimodal neuroimaging independent components and behavioural measures was analysed using multiple linear regression. We found that cognitive and motor symptoms shared a common neurobiological basis, whereas the psychiatric domain presented a differentiated neural signature. Behavioural measures of different symptom domains correlated with different neuroimaging components, both the brain regions involved and the neuroimaging modalities most prominently associated with each type of symptom showing differences. More severe cognitive and motor signs together were associated with a multimodal component consisting in a pattern of reduced grey matter, cortical thickness and white matter integrity in cognitive and motor related networks. In contrast, depressive symptoms were associated with a component mainly characterised by reduced cortical thickness pattern in limbic and paralimbic regions. In conclusion, using a multivariate multimodal approach we were able to disentangle the neurobiological substrates of two distinct symptom profiles in HD: one characterised by cognitive and motor features dissociated from a psychiatric profile. These results open a new view on a disease classically considered as a uniform entity and initiates a new avenue for further research considering these qualitative individual differences.
Note: Reproducció del document publicat a: https://doi.org/10.1016/j.nicl.2019.101900
It is part of: Neuroimage-Clinical, 2019, vol. 23, p. 101900
URI: http://hdl.handle.net/2445/154229
Related resource: https://doi.org/10.1016/j.nicl.2019.101900
ISSN: 2213-1582
Appears in Collections:Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)
Articles publicats en revistes (Cognició, Desenvolupament i Psicologia de l'Educació)

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