Electrical and contractile properties of the stomach were assessed in six adult dogs after recovery from surgical treatment for gastric dilatation-volvulus (GDV), a disorder characterized by delayed gastric emptying of the solid phase. Electrodes and strain-gauge force transducers were sutured to the serosa of the antrum and pylorus at the time of surgical intervention for GDV. Ten days after implantation, electrical and mechanical activities were recorded before and after a standardized meal. The analog FM tape recordings of the electrical and mechanical signals were converted to digital time series for analysis by computer. Recordings from dogs after GDV showed increased slow wave propagation velocity in both the fasting and the fed states compared with controls. In addition, the GDV dogs had atypical fasting state phase III activity fronts. We found no difference in gastric slow wave frequency, dysrhythmia, or electromechanical coupling between the two groups. These results indicate that delayed gastric emptying in this syndrome is associated with increased gastric slow wave propagation velocity.
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http://dx.doi.org/10.1152/ajpgi.1993.265.4.G646 | DOI Listing |
Comput Methods Biomech Biomed Engin
January 2025
School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, Changzhou University, Changzhou, P.R. China.
Slow eye movements (SEMs) are a reliable physiological marker of drivers' sleep onset, often accompanied by EEG alpha wave attenuation. A parallel multimodal 1D convolutional neural network (PM-1D-CNN) model is proposed to classify SEMs. The model uses two parallel 1D-CNN blocks to extract features from EOG and EEG signals, which are then fused and fed into fully connected layers for classification.
View Article and Find Full Text PDFNeuron
January 2025
Neuroscience Institute, Langone Medical Center, New York University, New York, NY, USA; Department of Physiology and Neuroscience, Langone Medical Center, New York University, New York, NY, USA; Department of Neurology, Langone Medical Center, New York University, New York, NY, USA. Electronic address:
Systems consolidation relies on coordination between hippocampal sharp-wave ripples (SWRs) and neocortical UP/DOWN states during sleep. However, whether this coupling exists across the neocortex and the mechanisms enabling it remains unknown. By combining electrophysiology in mouse hippocampus (HPC) and retrosplenial cortex (RSC) with wide-field imaging of the dorsal neocortex, we found spatially and temporally precise bi-directional hippocampo-neocortical interaction.
View Article and Find Full Text PDFAlzheimers Dement
January 2025
Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, California, USA.
Introduction: Sleep disturbances are associated with Alzheimer's disease (AD) and Alzheimer's disease and related dementias (ADRD), but the relationship between sleep architecture, particularly rapid eye movement (REM) sleep, and AD/ADRD biomarkers remains unclear.
Methods: We enrolled 128 adults (64 with Alzheimer's disease, 41 with mild cognitive impairment [MCI], and 23 with normal cognition [NC]), mean age 70.8 ± 9.
bioRxiv
January 2025
Yale School of Medicine, New Haven, CT, U.S.A.
Study Objectives: Sleep deficiency is associated with Alzheimer's disease (AD) pathogenesis. We examined the association of sleep architecture with anatomical features observed in AD: (1) atrophy of hippocampus, entorhinal, inferior parietal, parahippocampal, precuneus, and cuneus regions ("AD-vulnerable regions") and (2) cerebral microbleeds.
Methods: In 271 participants of the Atherosclerosis Risk in the Communities Study, we examined the association of baseline sleep architecture with anatomical features identified on brain MRI 13~17 years later.
Front Neurol
January 2025
Department of Neurology, Xuanwu Hospital Capital Medical University, Beijing, China.
Objective: To observe and measure the morphological and temporal evolutionary features of the hypersynchronous (HYP) pattern in the mesial temporal seizure.
Methods: The HYP patterns during preictal and interictal states of 16 mesial temporal epileptic patients were analyzed. The wave components of the HYP transients were firstly observed and measured.
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