The present study was performed in order to determine morphological age-related changes of the human intracardiac ganglia. Paraffin sections of 40 ganglia from infants, adult and aged human hearts were stained with Picro-Mallory method. The ganglia area, nerve cell (with clearly visible nucleolus) area, neuron soma long axis length, perimeter, area of neuronal nuclei and neuron soma form factor were measured with the aid of computer images analyzing program "Sigma Scan Pro 5.0". Also, the neuronal density and the area occupied by nerve cells per ganglion section were calculated. The relative frequency of satellite cells, in close contact with nerve cell soma, was estimated. Based on the data of this study, we concluded that the area of ganglia, neurons and their nuclei increased with age. Neuronal packing density significantly decreased, but the area occupied by nerve cells within the ganglia decreased non-significantly. Satellite cells were more numerous nearby ganglion neurons from infant hearts. Shape factor of neurons was stable between the groups. In conclusion, the present study confirms significant differences in the morphology of the intrinsic cardiac ganglia with age.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Age-related differences in eye movements and the association with Archimedes spiral tracing performance in young and older adults.
Exp Brain Res
January 2025
Joseph J. Zilber College of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Age-related hand motor impairments may critically depend on visual information though few studies have examined eye movements during tasks of hand function in older adults. The purpose of this study was to assess eye movements and their association with performance while tracing on a touchscreen in young and older adults. Eye movements of 21 young (age 20-38 years; 12 females, 9 males) and 20 older (65-85 years; 10 females, 10 males) adults were recorded while performing an Archimedes spiral tracing task, a common clinical assessment sensitive to age-associated impairments in hand function.
View Article and Find Full Text PDFEducational Disparities in Age-related Hearing Loss and Hearing Aid Use across Age, Gender, and European Region.
J Gerontol B Psychol Sci Soc Sci
January 2025
Max Planck Institute for Demographic Research, Rostock, Germany.
Objectives: Affecting one in five adults in Europe, hearing loss (HL) is linked to adverse health outcomes, including dementia. We aim to investigate educational inequalities in hearing health in Europe and how these inequalities change with age, gender, and region.
Methods: Utilizing 2004-2020 data from the Harmonised Survey of Health, Ageing, and Retirement in Europe (SHARE), a representative sample of Europeans aged 50 and above, we analyse: 1) age-standardized prevalence of HL and hearing aid (HA) use among eligible individuals; 2) educational inequalities therein using the Relative Index of Inequality (RII) across age, gender, and European regions.
The high compliance of the urinary bladder during filling is essential for its proper function, enabling it to accommodate significant volumetric increases with minimal rise in transmural pressure. This study aimed to elucidate the physical mechanisms underlying this phenomenon by analyzing the ex vivo filling process in rat from a fully voided state to complete distension, without preconditioning, using three complementary imaging modalities. High-resolution micro-CT at 10.
View Article and Find Full Text PDF"Multimodal Sleep Signal Tensor Decomposition and Hidden Markov Modeling for Temazepam-Induced Anomalies Across Age Groups".
J Neurosci Methods
January 2025
School of Electrical and Computer Engineering, Gallogly College of Engineering, University of Oklahoma, Norman, OK 73019, USA.
Background: Recent advances in multimodal signal analysis enable the identification of subtle drug-induced anomalies in sleep that traditional methods often miss.
New Method: We develop and introduce the Dynamic Representation of Multimodal Activity and Markov States (DREAMS) framework, which embeds explainable artificial intelligence (XAI) techniques to model hidden state transitions during sleep using tensorized EEG, EMG, and EOG signals from 22 subjects across three age groups (18-29, 30-49, and 50-66 years). By combining Tucker decomposition with probabilistic Hidden Markov Modeling, we quantified age-specific, temazepam-induced hidden states and significant differences in transition probabilities.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!