| Literature DB >> 29858658 |
Abhishek Lenka1,2, Madhura Ingalhalikar3, Apurva Shah3, Jitender Saini4, Shyam Sundar Arumugham5, Shantala Hegde6, Lija George2, Venkateswara Reddy4, Y C Janardhana Reddy5, Ravi Yadav2, Pramod Kumar Pal7.
Abstract
Psychosis, manifested through formed visual hallucinations or minor hallucinations, is a common non-motor symptom of Parkinson's disease (PD). The pathogenesis of psychosis in PD remains unclear; however, is possibly linked to structural and functional alterations in the hippocampus. To explore the role of hippocampus in psychosis, a detailed hippocampal subfield analysis was performed on PD patients with (PD-P) and without psychosis (PD-NP), and healthy controls (HC). An automated subfield parcellation was performed on T1 MRI images of 141 subjects (PD-P:42, PD-NP:51, and HC:48). The volumes of 12 subfields on each side were estimated and analyzed between the three groups and were corrected for multiple comparisons using false discovery rates. The volumes were also correlated to psychosis severity and specific neuropsychological tests and finally were employed to predict the psychosis severity in PD-P using a support vector regression (SVR) model. Compared to controls, PD-NP group did not demonstrate any significant differences; however, the PD-P group had significantly lower total hippocampal volume. Bilateral molecular layer, granule cell-dentate gyrus, left subiculum, and hippocampal tail and right CA3, CA4, and HATA illustrated significantly lower volumes, while bilateral hippocampal fissure demonstrated a significant widening. Compared to PD-NP, the PD-P group had higher volume of the bilateral hippocampal fissures. Finally, SVR could significantly predict the psychosis severity from all the subfield volumes. Our findings indicate a higher degeneration of specific hippocampal subfields in PD-P compared to controls and a trend of higher volume of hippocampal fissures in PD-P group than in PD-NP.Entities:
Keywords: Hippocampus; Parkinson’s disease; Psychosis; Visual hallucinations
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Year: 2018 PMID: 29858658 PMCID: PMC7613147 DOI: 10.1007/s00702-018-1891-3
Source DB: PubMed Journal: J Neural Transm (Vienna) ISSN: 0300-9564 Impact factor: 3.850