ArticleBrain imaging and behavior2024
Atrophy patterns in hippocampus and amygdala subregions of depressed patients with Parkinson's disease.
Article in Brain imaging and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Amygdala subregion MRI alterations in Parkinson's disease correlate with olfactory function.Frontiers in aging neuroscience · 2026Article
- An exploratory study of altered regional homogeneity in Parkinson's disease with depression.Frontiers in psychiatry · 2026Article
- Selective amygdala subregional atrophy in Parkinson's disease: from subjective cognitive decline to mild cognitive impairment.Frontiers in aging neuroscience · 2026Article
- Prefrontal cortex activation during daily movements and its association with clinical symptoms in knee osteoarthritis.Osteoarthritis and cartilage open · 2025Article
- Amygdala Neurodegeneration: A Key Driver of Visual Dysfunction in Parkinson's Disease.Annals of clinical and translational neurology · 2025Article
- Amygdala Nuclei Atrophy in Cognitive Impairment and Dementia: Insights from High-Resolution Magnetic Resonance Imaging.Medicina (Kaunas, Lithuania) · 2025Article
- Excitatory synaptic structural abnormalities produced by templated aggregation of α-syn in the basolateral amygdala.Neurobiology of disease · 2024Article
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Authors and funding
9 authors.
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Abstract
We aimed to explore the subregional atrophy patterns of the amygdala and hippocampus in Parkinson's disease (PD) with depression and their correlation with the severity of the depressive symptom. MRI scans were obtained for 34 depressed PD patients (DPD), 22 nondepressed PD patients (NDPD), and 28 healthy controls (HC). Amygdala and hippocampal subregions were automatically segmented, and the intergroup volume difference was compared. The relationships between the volumes of the subregions and depression severity were investigated. Logistic analysis and Receiver operator characteristic curve were used to find independent predictors of DPD. Compared with the HC group, atrophy of the bilateral lateral nucleus, left accessory basal nucleus, right cortical nucleus, right central nucleus, and right medial nucleus subregions of the amygdala were visible in the DPD group, while the right lateral nucleus subregion of the amygdala was smaller in the DPD group than in the NDPD group. The DPD group showed significant atrophy in the left molecular layer, left GC-DG, left CA3, and left CA4 subregions compared with the HC group for hippocampal subregion volumes. Also, the right lateral nuclei volume and disease duration were independent predictors of DPD. To sum up, DPD patients showed atrophy in multiple amygdala subregions and left asymmetric hippocampal subregions. The decreased amygdala and hippocampal subregion volumes were correlated with the severity of depressive symptoms. The volume of right lateral nuclei and disease duration could be used as a biomarker to detect DPD.
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