
Language network connectivity increases in early alzheimer’s disease
- Author
- Aurelie Pistono (UGent) , Mehdi Senoussi (UGent) , Laura Guerrier, Marie Rafiq, Mélanie Gimeno, Patrice Péran, Mélanie Jucla and Jérémie Pariente
- Organization
- Abstract
- Background: Language production deficits occur early in the course of Alzheimer’s disease (AD); however, only a few studies have focused on language network’s functional connectivity in mild cognitive impairment (MCI) due to AD. Objective: The current study aims to uncover the extent of language alteration at the MCI stage, at a behavioral and neural level, using univariate and multivariate analyses of structural MRI and resting-state fMRI. Methods: Twenty-four MCI due to AD participants and 24 matched healthy controls underwent a comprehensive language evaluation, a structural T1-3D MRI, and resting-state fMRI. We performed seed-based analyses, using the left inferior frontal gyrus and left posterior temporal gyrus as seeds. Then, we analyzed connectivity between executive control networks and language network in each group. Finally, we used multivariate pattern analyses to test whether the two groups could be distinguished based on the pattern of atrophy within the language network; within the executive control networks, as well as the pattern of functional connectivity within the language network and within the executive control networks. Results: MCI due to AD participants had language impairment during standardized language tasks and connected-speech production. Regarding functional connectivity, univariate analyses were not able to discriminate participants, while multivariate pattern analyses could significantly predict participants’ group. Language network’s functional connectivity could discriminate MCI due to AD participants better than executive control networks. Most notably, they revealed an increased connectivity at the MCI stage, positively correlated with language performance. Conclusion: Multivariate analyses represent a useful tool for investigating the functional and structural (re-)organization of the neural bases of language.
- Keywords
- Clinical Psychology, Geriatrics and Gerontology, Psychiatry and Mental health, General Medicine, Alzheimer's disease, connected speech, functional connectivity, functional MRI, language, multivariate pattern analysis
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Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8712382
- MLA
- Pistono, Aurelie, et al. “Language Network Connectivity Increases in Early Alzheimer’s Disease.” JOURNAL OF ALZHEIMERS DISEASE, vol. 82, no. 1, 2021, pp. 447–60, doi:10.3233/jad-201584.
- APA
- Pistono, A., Senoussi, M., Guerrier, L., Rafiq, M., Gimeno, M., Péran, P., … Pariente, J. (2021). Language network connectivity increases in early alzheimer’s disease. JOURNAL OF ALZHEIMERS DISEASE, 82(1), 447–460. https://doi.org/10.3233/jad-201584
- Chicago author-date
- Pistono, Aurelie, Mehdi Senoussi, Laura Guerrier, Marie Rafiq, Mélanie Gimeno, Patrice Péran, Mélanie Jucla, and Jérémie Pariente. 2021. “Language Network Connectivity Increases in Early Alzheimer’s Disease.” JOURNAL OF ALZHEIMERS DISEASE 82 (1): 447–60. https://doi.org/10.3233/jad-201584.
- Chicago author-date (all authors)
- Pistono, Aurelie, Mehdi Senoussi, Laura Guerrier, Marie Rafiq, Mélanie Gimeno, Patrice Péran, Mélanie Jucla, and Jérémie Pariente. 2021. “Language Network Connectivity Increases in Early Alzheimer’s Disease.” JOURNAL OF ALZHEIMERS DISEASE 82 (1): 447–460. doi:10.3233/jad-201584.
- Vancouver
- 1.Pistono A, Senoussi M, Guerrier L, Rafiq M, Gimeno M, Péran P, et al. Language network connectivity increases in early alzheimer’s disease. JOURNAL OF ALZHEIMERS DISEASE. 2021;82(1):447–60.
- IEEE
- [1]A. Pistono et al., “Language network connectivity increases in early alzheimer’s disease,” JOURNAL OF ALZHEIMERS DISEASE, vol. 82, no. 1, pp. 447–460, 2021.
@article{8712382, abstract = {{Background: Language production deficits occur early in the course of Alzheimer’s disease (AD); however, only a few studies have focused on language network’s functional connectivity in mild cognitive impairment (MCI) due to AD. Objective: The current study aims to uncover the extent of language alteration at the MCI stage, at a behavioral and neural level, using univariate and multivariate analyses of structural MRI and resting-state fMRI. Methods: Twenty-four MCI due to AD participants and 24 matched healthy controls underwent a comprehensive language evaluation, a structural T1-3D MRI, and resting-state fMRI. We performed seed-based analyses, using the left inferior frontal gyrus and left posterior temporal gyrus as seeds. Then, we analyzed connectivity between executive control networks and language network in each group. Finally, we used multivariate pattern analyses to test whether the two groups could be distinguished based on the pattern of atrophy within the language network; within the executive control networks, as well as the pattern of functional connectivity within the language network and within the executive control networks. Results: MCI due to AD participants had language impairment during standardized language tasks and connected-speech production. Regarding functional connectivity, univariate analyses were not able to discriminate participants, while multivariate pattern analyses could significantly predict participants’ group. Language network’s functional connectivity could discriminate MCI due to AD participants better than executive control networks. Most notably, they revealed an increased connectivity at the MCI stage, positively correlated with language performance. Conclusion: Multivariate analyses represent a useful tool for investigating the functional and structural (re-)organization of the neural bases of language.}}, author = {{Pistono, Aurelie and Senoussi, Mehdi and Guerrier, Laura and Rafiq, Marie and Gimeno, Mélanie and Péran, Patrice and Jucla, Mélanie and Pariente, Jérémie}}, issn = {{1387-2877}}, journal = {{JOURNAL OF ALZHEIMERS DISEASE}}, keywords = {{Clinical Psychology,Geriatrics and Gerontology,Psychiatry and Mental health,General Medicine,Alzheimer's disease,connected speech,functional connectivity,functional MRI,language,multivariate pattern analysis}}, language = {{eng}}, number = {{1}}, pages = {{447--460}}, title = {{Language network connectivity increases in early alzheimer’s disease}}, url = {{http://doi.org/10.3233/jad-201584}}, volume = {{82}}, year = {{2021}}, }
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