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Degeneration vs. degeneracy: a neural systems approach to functional reorganization

Published online by Cambridge University Press:  24 June 2014

M Valenzuela
Affiliation:
School of Psychiatry UNSW, Sydney, Australia
P Sachdev
Affiliation:
School of Psychiatry UNSW, Sydney, Australia
M Breakspear
Affiliation:
School of Psychiatry UNSW, Sydney, Australia
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Abstract

Type
Abstracts from ‘Brainwaves’— The Australasian Society for Psychiatric Research Annual Meeting 2006, 6–8 December, Sydney, Australia
Copyright
Copyright © 2006 Blackwell Munksgaard

Background:

The term functional reorganization has been used to describe a number of dynamic neural processes related to changes in brain-behaviour connectivity. These include process efficiency, such that localized metabolic work decreases with expertise; process redundancy, whereby subtly different neural networks are able to resolve a given computational problem; and degeneracy, in which novel brain-behaviour relationships can be expressed in response to lesion or challenge. These processes are argued to reside within the framework of a type of ‘neural Darwinism’: dynamic brain-behaviour relations are in a constant state of competition for the most effective resolution of a given computational task, with selection pressure at the level of metabolic economy.

Methods:

Exemplars of process efficiency, redundancy and degeneracy will be presented from a functional neuroimaging study of working memory and association learning processes in both healthy older subjects and those with mild cognitive impairment.

Results:

Individuals with either no neurological deficit or incipient Alzheimer's disease (as indicated by medial temporal lobe atrophy) show a large degree of variance in response to increasingly difficult working memory tasks, as assessed by a multivariate analysis of brain-behaviour correlations.

Conclusions:

The principles of efficiency, redundancy and degeneracy are applicable to the functional response to any static or progressive brain lesion. Novel approaches to describing and quantifying these processes may therefore improve our understanding of the clinicopathological disconnect observed in a number of clinical areas, in particular neurodegeneration.