AIMC Topic: Hippocampus
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Quantifying brain metabolism from FDG-PET images into a probability of Alzheimer's dementia score.
Human brain mapping
Sep 10, 2019
F-fluorodeoxyglucose positron emission tomography (FDG-PET) enables in-vivo capture of the topographic metabolism patterns in the brain. These images have shown great promise in revealing the altered metabolism patterns in Alzheimer's disease (AD). ...
Modeling place cells and grid cells in multi-compartment environments: Entorhinal-hippocampal loop as a multisensory integration circuit.
Neural networks : the official journal of the International Neural Network Society
Sep 6, 2019
Hippocampal place cells and entorhinal grid cells are thought to form a representation of space by integrating internal and external sensory cues. Experimental data show that different subsets of place cells are controlled by vision, self-motion or a...
Bursts with High and Low Load of Epileptiform Spikes Show Context-Dependent Correlations in Epileptic Mice.
eNeuro
Sep 5, 2019
Hypersynchronous network activity is the defining hallmark of epilepsy and manifests in a wide spectrum of phenomena, of which electrographic activity during seizures is only one extreme. The aim of this study was to differentiate between different t...
A comprehensive knowledge base of synaptic electrophysiology in the rodent hippocampal formation.
Hippocampus
Aug 31, 2019
The cellular and synaptic architecture of the rodent hippocampus has been described in thousands of peer-reviewed publications. However, no human- or machine-readable public catalog of synaptic electrophysiology data exists for this or any other neur...
Characterization of Nanoscale Organization of F-Actin in Morphologically Distinct Dendritic Spines Using Supervised Learning.
eNeuro
Aug 1, 2019
The cytoarchitecture of a neuron is very important in defining morphology and ultrastructure. Although there is a wealth of information on the molecular components that make and regulate these ultrastructures, there is a dearth of understanding of ho...
A Machine Learning Approach to Characterize the Modulation of the Hippocampal Rhythms Via Optogenetic Stimulation of the Medial Septum.
International journal of neural systems
Jun 27, 2019
The medial septum (MS) is a potential target for modulating hippocampal activity. However, given the multiple cell types involved, the changes in hippocampal neural activity induced by MS stimulation have not yet been fully characterized. We combined...
A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Jun 11, 2019
INTRODUCTION: It is challenging at baseline to predict when and which individuals who meet criteria for mild cognitive impairment (MCI) will ultimately progress to Alzheimer's disease (AD) dementia.
A hybrid Convolutional and Recurrent Neural Network for Hippocampus Analysis in Alzheimer's Disease.
Journal of neuroscience methods
May 25, 2019
BACKGROUND: Hippocampus is one of the first structures affected by neurodegenerative diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI). Hippocampal atrophy can be evaluated in terms of hippocampal volumes and shapes using ...
Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants.
NeuroImage
May 7, 2019
Subtle changes in hippocampal volumes may occur during both physiological and pathophysiological processes in the human brain. Assessing hippocampal volumes manually is a time-consuming procedure, however, creating a need for automated segmentation m...
Phase relations of theta oscillations in a computer model of the hippocampal CA1 field: Key role of Schaffer collaterals.
Neural networks : the official journal of the International Neural Network Society
Apr 8, 2019
The hippocampal theta rhythm (4-12 Hz) is one of the most important electrophysiological processes in the hippocampus, it participates in cognitive hippocampal functions, such as navigation in space, novelty detection, and declarative memory. We use ...
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