Atrophy of specific amygdala subfields in subjects converting to mild cognitive impairment

Author:

Padulo Caterina12,Sestieri Carlo13,Punzi Miriam14,Picerni Eleonora14,Chiacchiaretta Piero56,Tullo Maria Giulia1,Granzotto Alberto14,Baldassarre Antonello1,Onofrj Marco1,Ferretti Antonio14,Delli Pizzi Stefano14ORCID,Sensi Stefano L.134,

Affiliation:

1. Department of Neuroscience, Imaging, and Clinical Sciences University “G. d'Annunzio” of Chieti‐Pescara Chieti Italy

2. Department of Humanities University of Naples Federico II Naples Italy

3. Institute for Advanced Biomedical Technologies (ITAB) “G. d'Annunzio” University, Chieti‐Pescara Chieti Italy

4. Molecular Neurology Unit Center for Advanced Studies and Technology (CAST) University “G. d'Annunzio” of Chieti‐Pescara Chieti Italy

5. Department of Innovative Technologies in Medicine and Dentistry “G. d'Annunzio” University of Chieti‐Pescara, Chieti Chieti Italy

6. Advanced Computing Core Center for Advanced Studies and Technology (CAST) University “G. d'Annunzio” of Chieti‐Pescara Chieti Italy

Abstract

AbstractIntroductionAccumulating evidence indicates that the amygdala exhibits early signs of Alzheimer's disease (AD) pathology. However, it is still unknown whether the atrophy of distinct subfields of the amygdala also participates in the transition from healthy cognition to mild cognitive impairment (MCI).MethodsOur sample was derived from the AD Neuroimaging Initiative 3 and consisted of 97 cognitively healthy (HC) individuals, sorted into two groups based on their clinical follow‐up: 75 who remained stable (s‐HC) and 22 who converted to MCI within 48 months (c‐HC). Anatomical magnetic resonance (MR) images were analyzed using a semi‐automatic approach that combines probabilistic methods and a priori information from ex vivo MR images and histology to segment and obtain quantitative structural metrics for different amygdala subfields in each participant. Spearman's correlations were performed between MR measures and baseline and longitudinal neuropsychological measures. We also included anatomical measurements of the whole amygdala, the hippocampus, a key target of AD‐related pathology, and the whole cortical thickness as a test of spatial specificity.ResultsCompared with s‐HC individuals, c‐HC subjects showed a reduced right amygdala volume, whereas no significant difference was observed for hippocampal volumes or changes in cortical thickness. In the amygdala subfields, we observed selected atrophy patterns in the basolateral nuclear complex, anterior amygdala area, and transitional area. Macro‐structural alterations in these subfields correlated with variations of global indices of cognitive performance (measured at baseline and the 48‐month follow‐up), suggesting that amygdala changes shape the cognitive progression to MCI.DiscussionOur results provide anatomical evidence for the early involvement of the amygdala in the preclinical stages of AD.Highlights Amygdala's atrophy marks elderly progression to mild cognitive impairment (MCI). Amygdala's was observed within the basolateral and amygdaloid complexes. Macro‐structural alterations were associated with cognitive decline. No atrophy was found in the hippocampus and cortex.

Funder

National Institutes of Health

U.S. Department of Defense

Publisher

Wiley

Subject

Psychiatry and Mental health,Neurology (clinical)

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