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Functional Implications of the Prosomeric Brain Model. | LitMetric

Functional Implications of the Prosomeric Brain Model.

Biomolecules

Department Human Anatomy and Psychobiology and IMIB-Arrixaca (Murcia Institute for Biomedical Research), University of Murcia, LAIB Building, Avenida Buenavista s/n, El Palmar, 30120 Murcia, Spain.

Published: March 2024

Brain models present a viewpoint on the fundamental structural components of the brain and their mutual organization, generally relative to a particular concept of the brain axis. A model may be based on adult brain structure or on developmental morphogenetic aspects. Brain models usually have functional implications, depending on which functional properties derive from the postulated organization. This essay examines the present scenario about brain models, emphasizing the contrast between columnar or other longitudinal models and transverse subdivisional neuromeric models. In each case, the main functional implications and apparent problems are explored and commented. Particular attention is given to the modern molecularly based 'prosomeric model', which postulates a set of 20 transverse prosomeres as the developmental units that serve to construct all the cerebral parts and the particular typology of many different neuronal populations within the forebrain and the hindbrain, plus a number of additional spinal cord units. These metameric developmental units (serially repeated, but with unique molecular profiles) confer to this model remarkable functional properties based mainly on its multiplicity and modularity. Many important brain functions can be decomposed into subfunctions attended to by combined sets of neuronal elements derived from different neuromeres. Each neuromere may participate in multiple functions. Most aspects related to creation of precise order in neural connections (axonal navigation and synaptogenesis) and function is due to the influence of neuromeric anteroposterior and dorsoventral positional information. Research on neuromeric functionality aspects is increasing significantly in recent times.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10968462PMC
http://dx.doi.org/10.3390/biom14030331DOI Listing

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