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Background: We aimed to investigate the pattern of atrophy in the hippocampus and amygdala subregions in patients with retinal detachment (RD) and its correlation with cognition and emotion.
Methods: The study recruited 32 patients diagnosed with RD alongside 33 healthy controls (HCs), carefully matched for sex and age. Magnetic resonance imaging (MRI) scans of all participants underwent automated segmentation to delineate hippocampal and amygdala subfields, utilizing FreeSurfer v6.0.
Results: In contrast to the HCs, RD patients exhibited noteworthy volumetric reductions in various regions, including cornu ammonis 1 (CA1)-head, molecular layer, dentate gyrus, and hippocampus-amygdala transition area bilaterally. This led to a collective decrease in the volume of the bilateral whole hippocampal head, right whole hippocampal body, and right entire hippocampus. In addition, the volume of Accessory-Basal-nucleus, Anterior-amygdaloid-area-AAA, and Corticoamygdaloid-transitio on the right side was also significantly reduced. Furthermore, the decrease in hippocampal and amygdala subfield volumes among RD patients showed a negative correlation with disease duration and HAMA score, while exhibiting a positive correlation with the axial length of eye and MoCA score.
Conclusion: These findings imply that alterations in the volume of hippocampal and amygdala subfields in RD patients are associated with emotional and cognitive dysfunction and may serve as biomarkers for predicting disease progression in RD patients.
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http://dx.doi.org/10.1016/j.brainresbull.2025.111498 | DOI Listing |
Front Psychiatry
August 2025
Neurobiology of Stress Research Group, Szentágothai Research Centre, University of Pécs, Pécs, Hungary.
Background: Previous studies indicate that hippocampal (subfield) and amygdala volumes may correlate with specific cognitive functions, coping strategies and emotion regulation. Here, we investigated associations between emotional processing and volumes of hippocampal subfields and amygdala. We focused on depressed patients since emotional dysregulation and hippocampal volume shrinkage are characteristic of them.
View Article and Find Full Text PDFNeuroimage Clin
September 2025
Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden; Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Objectives: To examine associations between low cognitive-performance and regional-and network-level brain changes at ages 9-10 in very-preterm, moderately-preterm, and full-term children, and explore whether these alterations predict ASD/ADHD symptoms at age 12.
Methods: This longitudinal population-based study included 9-10-year-old U.S.
Psychol Rev
September 2025
Neural Computation Group, Max-Planck Institute for Human Cognitive and Brain Sciences.
It has been suggested that episodic memory relies on the well-studied machinery of spatial memory. This influential notion faces hurdles that become evident with dynamically changing spatial scenes and an immobile agent. Here I propose a model of episodic memory that can accommodate such episodes via temporal indexing.
View Article and Find Full Text PDFAcad Radiol
September 2025
Radiology Department, Huashan Hospital, Affiliated with Fudan University, Shanghai 200040, China (S.L., D.G.); Shanghai Engineering Research Center of Intelligent Imaging for Critical Brain Diseases, Shanghai 200031, China (D.G.); Institute of Functional and Molecular Medical Imaging, Fudan Universi
Background: This study developed a deep learning model for segmenting and classifying the amygdala-hippocampus in Alzheimer's disease (AD), using a large-scale neuroimaging dataset to improve early AD detection and intervention.
Methods: We collected 1000 healthy controls (HC) and 1000 AD patients as internal training data from 15 Chinese medical centers. The independent external validation dataset was sourced from another three centers.
IBRO Neurosci Rep
December 2025
Department of Biological Sciences, Faculty of Science, University of Maroua, P.O. Box 814, Maroua, Cameroon.
Depression is a highly prevalent neuropsychiatric disorder globally, and its increasing incidence is thought to be mediated by the growing exposure to stressful life events and conditions. is widely used in traditional medicine to treat fever, pain, epilepsy, and depression. This study aimed at evaluating the antidepressant effect of aqueous extract (CF) using the chronic physical restriction stress (CRS) model on male and female rats.
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