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Cortical microstructure in primary progressive aphasia: a multicenter study.
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Illán-Gala, Ignacio; Montal, Victor; Borrego-Écija, Sergi; Mandelli, Maria Luisa; Falgàs, Neus; Welch, Ariane E; Pegueroles, Jordi; Santos-Santos, Miguel; Bejanin, Alexandre; Alcolea, Daniel; Dols-Icardo, Oriol; Belbin, Olivia; Sánchez-Saudinós, Mª Belén; Bargalló, Nuria; González-Ortiz, Sofía; Lladó, Albert; Blesa, Rafael; Dickerson, Bradford C; Rosen, Howard J; Miller, Bruce L; Lleó, Alberto; Gorno-Tempini, Maria Luisa; Sánchez-Valle, Raquel; Fortea, Juan
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In: Alzheimer's research & therapy, vol 14, iss 1 (2022)
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Abstract:
BackgroundCortical mean diffusivity is a novel imaging metric sensitive to early changes in neurodegenerative syndromes. Higher cortical mean diffusivity values reflect microstructural disorganization and have been proposed as a sensitive biomarker that might antedate macroscopic cortical changes. We aimed to test the hypothesis that cortical mean diffusivity is more sensitive than cortical thickness to detect cortical changes in primary progressive aphasia (PPA).MethodsIn this multicenter, case-control study, we recruited 120 patients with PPA (52 non-fluent, 31 semantic, and 32 logopenic variants; and 5 GRN-related PPA) as well as 89 controls from three centers. The 3-Tesla MRI protocol included structural and diffusion-weighted sequences. Disease severity was assessed with the Clinical Dementia Rating scale. Cortical thickness and cortical mean diffusivity were computed using a surface-based approach.ResultsThe comparison between each PPA variant and controls revealed cortical mean diffusivity increases and cortical thinning in overlapping regions, reflecting the canonical loci of neurodegeneration of each variant. Importantly, cortical mean diffusivity increases also expanded to other PPA-related areas and correlated with disease severity in all PPA groups. Cortical mean diffusivity was also increased in patients with very mild PPA when only minimal cortical thinning was observed and showed a good correlation with measures of disease severity.ConclusionsCortical mean diffusivity shows promise as a sensitive biomarker for the study of the neurodegeneration-related microstructural changes in PPA.
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Keyword:
2.1 Biological and endogenous factors; Acquired Cognitive Impairment; Aging; Alzheimer's disease; Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD); Alzheimer’s disease; Aphasia; Biomedical Imaging; Brain Disorders; Case-Control Studies; Clinical Research; Dementia; Diffusion; Diffusion Magnetic Resonance Imaging; Frontotemporal Dementia (FTD); Frontotemporal lobar degeneration; Humans; Magnetic resonance; Magnetic Resonance Imaging; Medical and Health Sciences; Neurodegenerative; Neurological; Neurosciences; Primary Progressive; Primary progressive aphasia; Rare Diseases
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URL: https://escholarship.org/uc/item/4td346vg
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| 2 |
Imaging Clinical Subtypes and Associated Brain Networks in Alzheimer’s Disease
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In: Brain Sciences; Volume 12; Issue 2; Pages: 146 (2022)
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| 3 |
Intraoperative Brain Mapping in Multilingual Patients: What Do We Know and Where Are We Going?
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In: Brain Sciences; Volume 12; Issue 5; Pages: 560 (2022)
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| 4 |
An Equivocal SCC Lesion—Antiepileptic-Induced CLOCC
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In: Brain Sciences; Volume 12; Issue 3; Pages: 384 (2022)
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Increased connectivity among sensory and motor regions during visual and audiovisual speech perception
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In: Open Access Publications (2022)
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| 6 |
Neural substrates of verbal repetition deficits in primary progressive aphasia.
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| 7 |
The Mapping of Deep Language Models on Brain Responses Primarily Depends on their Performance
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In: https://hal.archives-ouvertes.fr/hal-03361439 ; 2021 (2021)
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Multimodal dataset of real-time 2D and static 3D MRI of healthy French speakers
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In: ISSN: 2052-4463 ; EISSN: 2052-4463 ; Scientific Data ; https://hal.archives-ouvertes.fr/hal-03507532 ; Scientific Data , Nature Publishing Group, 2021, 8 (1), pp.258. ⟨10.1038/s41597-021-01041-3⟩ (2021)
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| 9 |
BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning.
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BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning.
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| 11 |
Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
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| 12 |
Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification.
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| 13 |
A Bayesian optimization approach for rapidly mapping residual network function in stroke. ...
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| 14 |
The Neurobiological Relationship Between Childhood Maltreatment and Major Depressive Disorder (MDD)
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In: Global Tides (2021)
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| 15 |
Age-related differences in the neural bases of phonological and semantic processes in the context of task-irrelevant information.
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Age-related differences in the neural bases of phonological and semantic processes.
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Age-related differences in resolving semantic and phonological competition during receptive language tasks.
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| 18 |
Engagement of Language and Domain General Networks during Word Monitoring in a Native and Unknown Language
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In: Brain Sciences ; Volume 11 ; Issue 8 (2021)
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| 19 |
Assessing PD-L1 Expression Status Using Radiomic Features from Contrast-Enhanced Breast MRI in Breast Cancer Patients: Initial Results
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In: Cancers; Volume 13; Issue 24; Pages: 6273 (2021)
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| 20 |
Is Instructional Scaffolding a Better Strategy for Teaching Writing to EFL Learners? A Functional MRI Study in Healthy Young Adults
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In: Brain Sciences ; Volume 11 ; Issue 11 (2021)
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