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Kosten, L.

Publications and source records attributed to Kosten, L..

2 recordsLinked to original sources

Selective cholinergic stimulation of the medial septum-diagonal band of Broca via DREADDs improves spatial learning in healthy rats

The septohippocampal pathway plays an important role in learning and memory. It projects from the medial septum-vertical limb of the diagonal band of Broca (MSDB) to the hippocampus and provides the latter with its main cholinergic innervation. To assess the importance of cholinergic selectivity and timing of MSDB stimulation in modulating learning and memory, we directly compared the effects of several MSDB stimulation strategies in healthy rats. We evaluated the effects of DREADD-mediated selective cholinergic neuronal MSDB stimulation and nonselective neuronal MSDB stimulation on spatial learning and memory in the appetitive radial arm maze and on resting-state brain networks using resting-state functional MRI. DREADDs were activated with the novel DREADD agonist J60. Selective cholinergic MSDB stimulation during - but not after - radial arm maze training improved spatial learning compared with J60-treated sham rats and had no effect on working memory or reversal learning. J60-treated sham rats had a worse working memory than saline-treated sham rats during the reversal phase of the radial arm maze task, suggesting an adverse effect of chronic use of J60. Nonselective MSDB stimulation during training resulted in a loss of appetite and exclusion from the radial arm maze training. Acute selective cholinergic and nonselective MSDB stimulation induced decreased functional connectivity (FC) in the default mode-like network. In addition, acute nonselective MSDB stimulation resulted in increased intrahippocampal FC, while selective cholinergic MSDB stimulation led to globally increased FC with the nucleus accumbens. While the combined effect of radial arm maze learning and the necessary chronic food restriction with or without chronic MSDB stimulation had no observable effect on resting-state networks, chronic food restriction alone globally increased FC in the brain.

neuroscience↗

Early Electrophysiological Aberrations in the Hippocampus of the TgF344-AD Rat Model as a Potential Biomarker for Alzheimer's Disease Prognosis

The hippocampus is thought to guide navigation and has an essential contribution to learning and memory. Hippocampus is one of the brain regions impaired in Alzheimers disease (AD), a neurodegenerative disease with progressive memory impairments and cognitive decline. Although successful treatments for AD are still not available, developing new strategies to detect AD at early stages before clinical manifestation is crucial for timely interventions. Here, we investigated in the TgF344-AD rat model the classification of AD-transgenic rats versus Wild-type littermates (WT) from electrophysiological activity recorded in the hippocampus of freely moving subjects at an early, pre-symptomatic stage of the disease (6 months old). To this end, recorded signals were filtered in two separate frequency regimes namely low frequency LFP signals and high frequency spiking activity and passed to machine learning (ML) classifiers to identify the genotype of the rats (TG vs. WT). For the low frequency analysis, we first filtered the signals and extracted the power spectra in different frequency bands known to carry differential information in the hippocampus (delta, theta, slow- and fast-gamma) while for the high frequency analysis, we extracted spike-trains of neurons and calculated different distance metrics between them, including Van Rossum (VR), Inter Spike Interval (ISI), and Event Synchronization (ES). These measures were then used as features for classification with different ML classifiers. We found that both low and high frequency signals were able to classify the rat genotype with a high accuracy with specific signals such as the gamma band power, providing an important fraction of information. In addition, when we combined information from both low and high frequency the classification was boosted indicating that independent information is present across the two bands. The results of this study offer a better insight into how different regions of the hippocampus are affected in earlier stages of AD.

neuroscience↗