AIMC Topic: Hippocampus

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Whole-brain radiotherapy associated with structural changes resembling aging as determined by anatomic surface-based deep learning.

Neuro-oncology Jul 6, 2023
BACKGROUND: Brain metastases are the most common intracranial tumors in adults and are associated with significant morbidity and mortality. Whole-brain radiotherapy (WBRT) is used frequently in patients for palliation, but can result in neurocognitiv...
Humans Brain Adult Hippocampus Radiotherapy Dosage Radiotherapy, Intensity-Modulated Cranial Irradiation Brain Neoplasms Aging Deep Learning
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MRI-based deep learning for TLE diagnosis.

Nature reviews. Neurology Apr 1, 2023
Magnetic Resonance Imaging Hippocampus Epilepsy, Temporal Lobe Humans Deep Learning
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[A spatial localization model of mobile robot based on entorhinal-hippocampal cognitive mechanism in rat brain].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Apr 25, 2022
Physiological studies reveal that rats rely on multiple spatial cells for spatial navigation and memory. In this paper, we investigated the firing mechanism of spatial cells within the entorhinal-hippocampal structure of the rat brain and proposed a ...
Models, Neurological Robotics Animals Place Cells Hippocampus Rats Cognition
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Differential Role for Hippocampal Subfields in Alzheimer's Disease Progression Revealed with Deep Learning.

Cerebral cortex (New York, N.Y. : 1991) Jan 22, 2022
Mild cognitive impairment (MCI) is often considered the precursor of Alzheimer's disease. However, MCI is associated with substantially variable progression rates, which are not well understood. Attempts to identify the mechanisms that underlie MCI p...
Humans Disease Progression Deep Learning Cognitive Dysfunction Magnetic Resonance Imaging Alzheimer Disease Hippocampus
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The structural aspects of neural dynamics and information flow.

Frontiers in bioscience (Landmark edition) Jan 12, 2022
BACKGROUND: Neurons have specialized structures that facilitate information transfer using electrical and chemical signals. Within the perspective of neural computation, the neuronal structure is an important prerequisite for the versatile computatio...
Artificial Intelligence Models, Neurological Neurons Hippocampus CA1 Region, Hippocampal Pyramidal Cells
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Replay in Deep Learning: Current Approaches and Missing Biological Elements.

Neural computation Oct 12, 2021
Replay is the reactivation of one or more neural patterns that are similar to the activation patterns experienced during past waking experiences. Replay was first observed in biological neural networks during sleep, and it is now thought to play a cr...
Sleep Hippocampus Reinforcement, Psychology Neural Networks, Computer Algorithms Animals Deep Learning
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Oscillation-Driven Memory Encoding, Maintenance, and Recall in an Entorhinal-Hippocampal Circuit Model.

Cerebral cortex (New York, N.Y. : 1991) Mar 5, 2021
During the execution of working memory tasks, task-relevant information is processed by local circuits across multiple brain regions. How this multiarea computation is conducted by the brain remains largely unknown. To explore such mechanisms in spat...
Spatial Memory Theta Rhythm Hippocampus Mental Recall Entorhinal Cortex Animals Rats Memory, Short-Term Neural Networks, Computer
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Machine Learning for the Prediction of Amyloid Positivity in Amnestic Mild Cognitive Impairment.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Amyloid-β (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is important for predicting conversion to Alzheimer's disease. However, Aβ evaluation through Aβ positron emission tomography (PET) is limited due to high cos...
Risk Factors Aged Aged, 80 and over Male Middle Aged Positron-Emission Tomography Hippocampus Cerebral Cortex Predictive Value of Tests Mental Recall Area Under Curve Algorithms Disease Progression Cognitive Dysfunction Neuropsychological Tests Amyloid beta-Peptides Female Humans Apolipoproteins E Cohort Studies Reproducibility of Results Magnetic Resonance Imaging Machine Learning
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3D computational cannula fluorescence microscopy enabled by artificial neural networks.

Optics express Oct 26, 2020
Computational cannula microscopy (CCM) is a high-resolution widefield fluorescence imaging approach deep inside tissue, which is minimally invasive. Rather than using conventional lenses, a surgical cannula acts as a lightpipe for both excitation and...
Cannula Mice Catheters, Indwelling Equipment Design Cells, Cultured Neural Networks, Computer Neuroimaging Microscopy, Fluorescence Animals Microspheres Image Enhancement Neurons Imaging, Three-Dimensional Phantoms, Imaging Hippocampus
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[Effects of acupuncture on Nod-like receptor protein 3 inflammasome signal pathway in the prefrontal cortex of rat with depression].

Zhen ci yan jiu = Acupuncture research Oct 25, 2020
OBJECTIVE: To observe the influence of acupuncture on the expression of pivotal molecules of Nod-like receptor protein 3(NLRP3) inflammasome signal pathway in the prefrontal cortex of rats with depression, so as to explore the underlying mechanism of...
Interleukin-1beta Rats Acupuncture Therapy Animals NLR Proteins Hippocampus Signal Transduction Prefrontal Cortex Rats, Sprague-Dawley Inflammasomes Depression
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