Background: Psychiatric disorders such as schizophrenia are worsened by stress, and working memory deficits are often a central feature of illness. Working memory is mediated by the persistent firing of prefrontal cortical (PFC) pyramidal neurons. Stress impairs working memory via high levels of dopamine D1 receptor (D1R) activation of cyclic adenosine monophosphate signaling, which reduces PFC neuronal firing. The current study examined whether D1R-cyclic adenosine monophosphate signaling reduces neuronal firing and impairs working memory by increasing the open state of hyperpolarization-activated cyclic nucleotide-gated (HCN) cation channels, which are concentrated on dendritic spines where PFC pyramidal neurons interconnect.
Methods: A variety of methods were employed to test this hypothesis: dual immunoelectron microscopy localized D1R and HCN channels, in vitro recordings tested for D1R actions on HCN channel current, while recordings in monkeys performing a working memory task tested for D1R-HCN channel interactions in vivo. Finally, cognitive assessments following intra-PFC infusions of drugs examined D1R-HCN channel interactions on working memory performance.
Results: Immunoelectron microscopy confirmed D1R colocalization with HCN channels near excitatory-like synapses on dendritic spines in primate PFC. Mouse PFC slice recordings demonstrated that D1R stimulation increased HCN channel current, while local HCN channel blockade in primate PFC protected task-related firing from D1R-mediated suppression. D1R stimulation in rat or monkey PFC impaired working memory performance, while HCN channel blockade in PFC prevented this impairment in rats exposed to either stress or D1R stimulation.
Conclusions: These findings suggest that D1R stimulation or stress weakens PFC function via opening of HCN channels at network synapses.
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http://dx.doi.org/10.1016/j.biopsych.2015.01.009 | DOI Listing |
Geroscience
December 2024
Laboratory of Neurodegenerative Diseases, Center for Interdisciplinary Research and Innovation, Aristotle University of Thessaloniki (CIRI-AUTh), 54124, Thessaloniki, Greece.
The accurate diagnosis of aging-related neurocognitive disorders as early as possible, even in a phase that is characterized by the absence of clinical symptoms, is nowadays the holy grail of the neurosciences. R4Alz-R is a novel cognitive tool designed to objectively detect the subtle cognitive changes that emerge as the very first result of the aging processes and could be developed and broadened in a continuum from healthy aging to subjective cognitive impairment (SCI) and mild cognitive impairment (MCI), before reaching some type of dementia. The goal of the present study was to examine whether the R4Alz-R battery has the potential to detect these subtle changes.
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December 2024
Department of Neurology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
: Controlling hypertension may reduce the risk of cognitive impairment. A marker for the identification of hypertensive patients who are more likely to suffer cognitive impairment would be of clinical benefit. In our research, 105 patients with newly diagnosed primary hypertension were assessed at the Department of Neurology, the University of Debrecen.
View Article and Find Full Text PDFGeriatrics (Basel)
December 2024
Department of Occupational Therapy, School of Health Sciences, Fukushima Medical University, Fukushima 960-8516, Japan.
Maintaining functional independence and minimizing disability among older adults living in the community is paramount for mitigating rising care demands. Our study focused on shopping as a critical instrumental activity of daily living (ADL) to explore the association between shopping assistance and functional decline among older individuals receiving support through long-term care insurance (LTCI). This retrospective, cross-sectional study included 6202 participants aged >65 years living in a Japanese regional town receiving LTCI support, suggesting that they required assistance with local community life.
View Article and Find Full Text PDFBiomimetics (Basel)
December 2024
School of Computer Science and Technology, Dongguan University of Technology, Dongguan 523808, China.
In this paper, a deep reinforcement learning (DRL) approach based on generative adversarial imitation learning (GAIL) and long short-term memory (LSTM) is proposed to resolve tracking control problems for robotic manipulators with saturation constraints and random disturbances, without learning the dynamic and kinematic model of the manipulator. Specifically, it limits the torque and joint angle to a certain range. Firstly, in order to cope with the instability problem during training and obtain a stability policy, soft actor-critic (SAC) and LSTM are combined.
View Article and Find Full Text PDFClocks Sleep
December 2024
UR2NF-Neuropsychology and Functional Neuroimaging Research Unit, at CRCN-Centre for Research in Cognition and Neurosciences and UNI-ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium.
Continued solicitation of cognitive resources eventually leads to cognitive fatigue (CF), i.e., a decrease in cognitive efficiency that develops during sustained cognitive demands in conditions of constrained processing time, independently of sleepiness.
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