Training paradigms affecting Aplysia withdrawal reflexes cause changes in gene expression leading to long-term memory formation in primary mechanoafferents that initiate withdrawal. Similar mechanoafferents are also found in the buccal ganglia that control feeding behavior, raising the possibility that these mechanoafferents are a locus of memory formation after a training paradigm affecting feeding. Buccal ganglia mechanoafferent neurons expressed increases in mRNA expression for the transcription factor ApC/EBP, and for the growth factor sensorin-A, within the first 2 h after training with an inedible food. No increases in expression were detected in the rest of the buccal ganglia. Increased ApC/EBP expression was not elicited by food and feeding responses not causing long-term memory. Increased ApC/EBP expression was directly related to a measure of the efficacy of training in causing long-term memory, suggesting that ApC/EBP expression is necessary for the expression of aspects of long-term memory. In behaving animals, memory is expressed as a decrease in the likelihood to respond to food, and a decrease in the amplitude of protraction, the first phase of consummatory feeding behaviors. To determine how changes in the properties of mechanoafferents could cause learned changes in feeding behavior, synaptic contacts were mapped from the mechanoafferents to the B31/B32 neurons, which have a key role in initiating consummatory behaviors and also control protractions. Many mechanoafferents monosynaptically and polysynaptically connect with B31/B32. Monosynaptic connections were complex combinations of fast and slow excitation and/or inhibition. Changes in the response of B31/B32 to stimuli sensed by the mechanoafferent could underlie aspects of long-term memory expression.
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http://dx.doi.org/10.1101/lm.026393.112 | DOI Listing |
Front Behav Neurosci
December 2024
Basque Center on Cognition, Brain and Language (BCBL), Donostia-San Sebastián, Spain.
Extensive behavioral research on adults has shown that retrieval practice is highly beneficial for long-term memory retention. However, limited evidence exists on the developmental course of this benefit. Here, we present data from a behavioral study involving 7-14-year-old children who had to encode a total of 60 weakly semantically related cue-target word pairs using either repeated retrieval or repeated study encoding strategies.
View Article and Find Full Text PDFAct Adapt Aging
November 2023
Department of Human Development and Family Studies, Pennsylvania State University, 119 Health and Human Development Building, University Park, PA 16802.
Few studies have examined older, elite users of digital technology use. To address this gap, we examined predictors of novel technology use among this group. As hypothesized, several markers of successful aging predicted greater technology use in older elite users, including higher levels of cognition, socioeconomics, and self-efficacy.
View Article and Find Full Text PDFBiochim Biophys Acta Mol Basis Dis
December 2024
Department of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China. Electronic address:
Background & Aims: Given the impact of nonalcoholic fatty liver disease (NAFLD) on T cell activation and proliferation functions, we aim to explore the heterogeneity of follicular cytotoxic T (Tfc) cells in chronic hepatitis B (CHB) patients with NAFLD.
Methods: 32 healthy controls (HCs), 36 treatment-naïve CHB patients, and 19 treatment-naïve CHB + NAFLD patients were recruited. We employed multicolor flow cytometry to assess the exhausted phenotype and functionality of Tfc cells.
Comput Biol Med
December 2024
Institute for Imaging, Data and Communications (IDCOM), School of Engineering, University of Edinburgh, Edinburgh, EH9 3FB, UK.
Artifacts are a common problem in physiological time series collected from intensive care units (ICU) and other settings. They affect the quality and reliability of clinical research and patient care. Manual annotation of artifacts is costly and time-consuming, rendering it impractical.
View Article and Find Full Text PDFJ Electrocardiol
December 2024
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA.
Background And Purpose: Atrial fibrillation (AF), a common arrhythmia, is linked with atrial electrical and structural changes, notably low voltage areas (LVAs) which are associated with poor ablation outcomes and increased thromboembolic risk. This study aims to evaluate the efficacy of a deep learning model applied to 12‑lead ECGs for non-invasively predicting the presence of LVAs, potentially guiding pre-ablation strategies and improving patient outcomes.
Methods: A retrospective analysis was conducted on 204 AF patients, who underwent catheter ablation.
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