Extensive evidence supports the view that cholinergic mechanisms modulate learning and memory formation. This paper reviews evidence for cholinergic regulation of multiple memory systems, noting that manipulations of cholinergic functions in many neural systems can enhance or impair memory for tasks generally associated with those neural systems. While parallel memory systems can be identified by combining lesions with carefully crafted tasks, most-if not all-tasks require the combinatorial participation of multiple neural systems. This paper offers the hypothesis that the magnitude of acetylcholine (ACh) release in different neural systems may regulate the relative contributions of these systems to learning. Recent studies of ACh release, obtained with in vivo microdialysis samples during training, together with direct injections of cholinergic drugs into different neural systems, provide evidence that release of ACh is important in engaging these systems during learning, and that the extent to which the systems are engaged is associated with individual differences in learning and memory.
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http://dx.doi.org/10.1016/j.nlm.2003.07.003 | DOI Listing |
Acta Neuropathol
January 2025
Department of Neurology, NYU Grossman School of Medicine, New York, NY, USA.
Down syndrome (DS) is strongly associated with Alzheimer's disease (AD) due to APP overexpression, exhibiting Amyloid-β (Aβ) and Tau pathology similar to early-onset (EOAD) and late-onset AD (LOAD). We evaluated the Aβ plaque proteome of DS, EOAD, and LOAD using unbiased localized proteomics on post-mortem paraffin-embedded tissues from four cohorts (n = 20/group): DS (59.8 ± 4.
View Article and Find Full Text PDFDev Growth Differ
January 2025
Division of Biological Sciences, Nara Institute of Science and Technology, Ikoma, Japan.
The neural tube, the embryonic precursor to the vertebrate central nervous system, comprises distinct progenitor and neuronal domains, each with specific proliferation programs. In this study, we identified TMEM196, a novel transmembrane protein that plays a crucial role in regulating cell proliferation in the floor plate in chick embryos. TMEM196 is expressed in the floor plate, and its overexpression leads to reduced cell proliferation without affecting the pattern formation of the neural tube.
View Article and Find Full Text PDFJ Comp Neurol
January 2025
Institute of Neurobiology, University of Puerto Rico, Medical Sciences Campus, San Juan, Puerto Rico.
Snails belonging to the genus Biomphalaria serve as obligatory intermediate hosts for the trematode Schistosoma mansoni, the causative agent for the most widespread form of schistosomiasis. The simpler nervous systems of gastropod molluscs, such as Biomphalaria, provide advantageous models for investigating neural responses to infection at the cellular and network levels. The present study examined neuropeptides related to cholecystokinin (CCK), a major multifunctional regulator of central nervous system (CNS) function in mammals.
View Article and Find Full Text PDFBMC Psychiatry
January 2025
College of Artificial Intelligence, Southwest University, Chongqing, China.
Background: Although childhood maltreatment (CM) is widely recognized as a transdiagnostic risk factor for various internalizing and externalizing psychological disorders, the neural basis underlying this association remain unclear. The potential reasons for the inconsistent findings may be attributed to the involvement of both common and specific neural pathways that mediate the influence of childhood maltreatment on the emergence of psychopathological conditions.
Methods: This study aimed to delineate both the common and distinct neural pathways linking childhood maltreatment to depression and aggression.
BMC Bioinformatics
January 2025
School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, 611756, Sichuan, China.
Background: Drug response prediction is critical in precision medicine to determine the most effective and safe treatments for individual patients. Traditional prediction methods relying on demographic and genetic data often fall short in accuracy and robustness. Recent graph-based models, while promising, frequently neglect the critical role of atomic interactions and fail to integrate drug fingerprints with SMILES for comprehensive molecular graph construction.
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