Bibliometric Insights into Connectomics: Chemistry and Neuroscience Perspectives

Abstract

Introduction. Connectomics, an emerging omics science, has contributed to the preventive diagnosis of neurodegenerative diseases. This field integrates chemical and neuroscientific information, analyzing neurotransmitter functions and alterations within brain connections. Additionally, it enables theoretical simulations that link the brain´s biophysical structure with neuronal interactions, providing insights into brain function. Objective. This study explores connectomics as an omics science and its contributions to chemistry and neurosciences. Methodology. A bibliometric analysis was conducted using Scopus, RStudio and VOSviewer to identify global research trends in connectomics. Results. Co-citation and keyword co-occurrence analyses key aspects of connectomics research. The findings highlight the need to promote studies on this emerging omics science in Colombia. Conclusions. Connectomics plays a crucial role in understanding neural networks and advancing treatments for neurodegenerative disorders. The field benefits from instrumental techniques such as magnetic resonance imaging and machine learning models for data processing. These tools emphasize the significance of connectomics research in neuroscience and cognitive sciences.

Keywords

Bibliometric analysis

Brain connections

Magnetic resonance imaging

Neurodegenerative disorders

Neural networks

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