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Published on: June 8, 2017
The Structural Model: a theory linking connections, plasticity, pathology, development and evolution of the cerebral
Miguel Ángel García-Cabezas1, Basilis Zikopoulos2,3, Helen Barbas4,5
1Neural Systems Laboratory, Department of Health Sciences, Boston University, 635 Commonwealth Ave., Room 431, Boston, MA, 02215, USA.
The Structural Model reveals a common evolutionary blueprint for the mammalian cortex, classifying areas by laminar structure. This framework predicts variations in connectivity, plasticity, and disease vulnerability across species.
Area of Science:
- Neuroscience
- Comparative Anatomy
- Evolutionary Biology
Background:
- The classical theory of cortical systematic variation is observed across diverse mammal groups, suggesting a conserved evolutionary plan (bauplan).
- Understanding this variation is key to deciphering cortical organization and function.
- Previous models have not fully integrated this systematic variation into a predictive framework.
Purpose of the Study:
- To introduce and validate a Structural Model based on systematic cortical variation.
- To provide a platform for testing hypotheses about cortical organization and function across species.
- To link cortical types to functional and pathological outcomes.
Main Methods:
- Categorization of the cortical architectonic continuum into discrete 'cortical types' based on laminar structure (agranular, dysgranular, eulaminate).
- Analysis of the relationship between cortical types and features like connectivity, plasticity, gene expression, and disease vulnerability.
- Tracing the developmental origins of cortical types.
Main Results:
- The Structural Model successfully links cortical types to laminar patterns, connection strength, plasticity, marker distribution, and disease vulnerability.
- Phylogenetically ancient limbic cortices are characterized as agranular or dysgranular.
- Eulaminate cortices possess six layers, with variations in number and elaboration across species.
- The developmental origins of cortical types help explain disease variability.
Conclusions:
- The Structural Model offers a predictive framework for understanding cortical organization and evolution.
- Cortical types provide a basis for linking structure to function, development, and disease.
- This model advances our understanding of the conserved bauplan of the mammalian cortex.
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