title: Fundamental neuroscience and the classification of psychiatric disorders.
abstract: Non-Darwinian views of evolution of nervous systems (e.g., Jacksonian evolution) conceive the present structure of the human brain as composed of a series of additive layers representing successive phylogenetic stages in evolution, layers which remain static after their emergence. In contrast to this view, recent allometric studies clearly show that limbic structures scale with the growth of the human brain (i.e., they do not remain stable but reach the size expected for the brain of a primate with the weight of a human brain). Data also show that limbic structures are significantly involved in cognitive functions such as memory and attention. Hence overlap of lesions in similar brain loci, especially in limbic regions, in both manic-depression and schizophrenia should come as no surprise. In the psychobiological sphere, the need for cognitive perceptual evaluation of the external world and internal state for emotional experience, further to the necessary visceral arousal, leads to a breakdown of the platonic, essentialist position, emotion vs. cognition at the psychological level, a problematic issue for the Kraepelinean view. Neural networks operation depend upon multiple nonlinear processes at the cellular, synaptic and network levels. Afferent input may serve not only to activate, but also to configure them into one of several circuit modes. These networks have been named polymorphic and can, at least to a measure, account for commonalities in lesion sites, in both affective and schizophrenic diseases. It is proposed that fundamental neuroscience should serve as one of the bases for the classification of psychiatric disorders.
authors.affiliation: Department of Physiology, McGill University Medical School, Montreal, Quebec, Canada.
authors.forename: B
authors.initials: B
authors.lastname: Dubrovsky
mesh_terms: D000818:Animals; D006801:Humans; D001523:Mental Disorders / Q000145:classification*; D009424:Nervous System Physiological Phenomena; D009462:Neurology