AIMC Topic: Hippocampus
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Hippocampal-prefrontal functional neural networks in a rat model of fragile X syndrome are poorly organized with limited resiliency.
Scientific reports
May 8, 2025
Fragile X Syndrome (FXS) is a common cause of autism spectrum symptoms. The genetic mutation results in multiple molecular alterations that are hypothesized to negatively impact neural circuit development although the nature of any functional neural ...
Cross study transcriptomic investigation of Alzheimer's brain tissue discoveries and limitations.
Scientific reports
May 8, 2025
Developing effective treatments for Alzheimer's disease (AD) likely requires a deep understanding of molecular mechanisms. Integration of transcriptomic datasets and developing innovative computational analyses may yield novel molecular targets with ...
Amelioration of Chronic Ethanol Administration-Induced Learning and Memory Impairments by High-Intensity Interval Training (HIIT) and Ritalin.
Brain and behavior
May 1, 2025
OBJECTIVES: The current study aimed to investigate the impacts of 8-week high-intensity interval training (HIIT) and Ritalin (RIT), alone and in combination, on cognitive functions and hippocampal oxidative parameters following chronic ethanol consum...
Evaluating Traditional, Deep Learning and Subfield Methods for Automatically Segmenting the Hippocampus From MRI.
Human brain mapping
Apr 1, 2025
Given the relationship between hippocampal atrophy and cognitive impairment in various pathological conditions, hippocampus segmentation from MRI is an important task in neuroimaging. Manual segmentation, though considered the gold standard, is time-...
MAEST: accurately spatial domain detection in spatial transcriptomics with graph masked autoencoder.
Briefings in bioinformatics
Mar 4, 2025
Spatial transcriptomics (ST) technology provides gene expression profiles with spatial context, offering critical insights into cellular interactions and tissue architecture. A core task in ST is spatial domain identification, which involves detectin...
Replay as a Basis for Backpropagation Through Time in the Brain.
Neural computation
Feb 14, 2025
How episodic memories are formed in the brain is a continuing puzzle for the neuroscience community. The brain areas that are critical for episodic learning (e.g., the hippocampus) are characterized by recurrent connectivity and generate frequent off...
A semi-supervised deep neuro-fuzzy iterative learning system for automatic segmentation of hippocampus brain MRI.
Mathematical biosciences and engineering : MBE
Dec 11, 2024
The hippocampus is a small, yet intricate seahorse-shaped tiny structure located deep within the brain's medial temporal lobe. It is a crucial component of the limbic system, which is responsible for regulating emotions, memory, and spatial navigatio...
3D Multi-feature fusion convolutional network for Alzheimer's disease diagnosis.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
The cognitive decline caused by Alzheimer's disease (AD) is closely related to the structural changes in the hippocampus captured by structural magnetic resonance imaging (sMRI). However, current deep model research on the morphological analysis of h...
A Computational Framework for Memory Engrams.
Advances in neurobiology
Jan 1, 2024
Memory engrams in mice brains are potentially related to groups of concept cells in human brains. A single concept cell in human hippocampus responds, for example, not only to different images of the same object or person but also to its name written...
Exploring the Value of MRI Measurement of Hippocampal Volume for Predicting the Occurrence and Progression of Alzheimer's Disease Based on Artificial Intelligence Deep Learning Technology and Evidence-Based Medicine Meta-Analysis.
Journal of Alzheimer's disease : JAD
Jan 1, 2024
BACKGROUND: Alzheimer's disease (AD), a major dementia cause, lacks effective treatment. MRI-based hippocampal volume measurement using artificial intelligence offers new insights into early diagnosis and intervention in AD progression.
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