Integrative neurocomputational perspectives on cognitive aging, neuromodulation, and representation
Introduction
Phenomena of aging are multi-facet and multi-level. Declines in elementary cognitive, sensory, and sensorimotor functioning are ubiquitous phenomena of usual aging [18], [24], [67]. Furthermore, these declines occur at the behavioral, information processing, and neurobiological levels. The task to obtain an integrative understanding of cognitive and sensorimotor aging might benefit from a paradigm shift towards cross-level (and cross-domain) conceptions that cut across different levels and facets. Notwithstanding current empirical difficulties in addressing overarching relations across multiple levels, neurocomputational approaches provide general frameworks for theoretical investigations of the relations across neural information processing, cognition, and behavior and of the interactions between different cortical regions and functions.
In this article, we first review recent computational approaches for studying neuromodulation of cortical function. We then briefly highlight evidence of aging-related neuromodulatory and cognitive declines. An integration across these levels of phenomena are couched within a recent integrative framework, depicting a link between aging neuromodulation, neural noise, less distinctive cortical representation, and cognitive aging [40]. Possible relations between aging cognitive and sensorimotor processes are also discussed.
Section snippets
Computational approaches to neuromodulation of cortical function
Theories on the morphofunctional architecture of the brain emphasize the importance of connectivity and communication between cellular elements [65]. Cortical functioning is bounded within the brain's structural and functional organization. Furthermore, the neurochemical processes therein, affecting pattern representation and information transfer within and between the cortical regions, generate and influence the dynamical properties of cortical information processing. Neurochemical influences
Aging, cognition, and neuromodulation
Aging affects several facets of cognitive processing. People's abilities to activate, represent and maintain information in mind, to attend to relevant but ignore irrelevant information, and to process information promptly all decline with advancing age (see reviews in [18], [56], [59] and Park and Gutchess in this issue). Aging-related decline in working memory function has been found in various tasks accessing memory span. Besides the more ‘traditional’ memory capacity view, working memory
Modeling aging neuromodulation, neuronal noise, less distinctive representation, and aging cognition
As previously discussed, neuromodulation can be modeled with respect to different specificity and functionality. Dopamine's modulatory effects are diverse, depending on cortical regions and receptor types. However, a general feature of dopaminergic modulation can be conceptualized as altering the signal-to-noise ratio of neural information processing, thus regulating neurons' response sensitivity to afferent signals. One way to model this effect is adjusting the gain (G) parameter of the
Conclusions
In addition to neuroanatomical degeneration, aging-related changes in the dynamical properties of cortical function could be related to declines in neurochemical processes affecting pattern representation and information transfer within and between cortical regions. Specifically, cognitive aging may be related to declines in dopaminergic modulation in the PFC and in other subcortical brain regions. Details regarding the involvement of neuromodulation in cognitive aging deficits remain to be
Acknowledgements
The preparation of this manuscript was sponsored by the support of the Max Planck Institute for Human Development to the first author and a research grant from Humanistiska Samhällsvetenskapliga Forskningsrådet (HSFR) to the second author. The first author thanks Peter A. Frensch and Ulman Lindenberger for their contributions during previous collaborations on related research. We thank Julia Delius for helpful comments on previous versions of the manuscript.
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