Presented with changing task goals, healthy young adults can flexibly process and expand upon task relevant information in a controlled manner. At a functional-anatomic level, such cognitive control is associated with selective recruitment of specific prefrontal regions that interact with posterior cortical regions to constrict task-appropriate representations and drive task performance. The present proposal begins an exploration of how these processes develop in childhood, change in advanced aging, and what the significance of their developmental stage is to behavioral task performance. Two hypotheses are explored using this """"""""Life span"""""""" approach. First, we predict that cognitive control develops in children concurrent with the ability to recruit frontal regions for task performance. Second, we predict that cognitive control breaks down in older adults when frontal regions are recruited, but in a non-selective manner. A further goal of this proposal is to explore the cognitive consequences of non-selective recruitment in advanced aging. By developing and using cognitive tests sensitive to component processes associated with cognitive control, the behavioral consequences of the emergence of cortical control processes and their breakdown will be explored. In addition, methodological challenges that confront between-group analyses including those surrounding possible anatomic (with development and atrophy), hemodynamic, and performance differences will be explored.
Specific aims are (1) to refine methods and determine boundary conditions for making functional-anatomic comparisons across the life span including children, young adults, and older adults, (2) to explore activation patterns within frontal cortex during controlled verbal processing tasks across children, young adults, and older adults using a verbal task battery, (3) to measure, in individual subjects, their capacity for cognitive-control and associate such abilities with their absolute level of frontal recruitment and selectivity of frontal recruitment. If completed, the present proposal will provide (1) methods for functional/anatomic description across the life span from childhood to advanced aging, (2) a corpus of functional/anatomic findings describing developmental change with a particular focus on prefrontal cortex and other structures associated with cognitive control, and (3) data relating these functional-anatomic changes with behavioral correlates of cognitive control. ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
1R01AG021910-01A2
Application #
6872599
Study Section
Cognition and Perception Study Section (CP)
Program Officer
Wagster, Molly V
Project Start
2005-03-01
Project End
2006-02-28
Budget Start
2005-03-01
Budget End
2006-02-28
Support Year
1
Fiscal Year
2005
Total Cost
$258,300
Indirect Cost
Name
Washington University
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Islam, Jyoti; Zhang, Yanqing (2018) Brain MRI analysis for Alzheimer's disease diagnosis using an ensemble system of deep convolutional neural networks. Brain Inform 5:2
Blaiotta, Claudia; Freund, Patrick; Cardoso, M Jorge et al. (2018) Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction. Neuroimage 166:117-134
Amaral, Robert S C; Park, Min Tae M; Devenyi, Gabriel A et al. (2018) Manual segmentation of the fornix, fimbria, and alveus on high-resolution 3T MRI: Application via fully-automated mapping of the human memory circuit white and grey matter in healthy and pathological aging. Neuroimage 170:132-150
Pehlivanova, Marieta; Wolf, Daniel H; Sotiras, Aristeidis et al. (2018) Diminished Cortical Thickness is Associated with Impulsive Choice in Adolescence. J Neurosci :
Kawamura, Naoki; Yokota, Tatsuya; Hontani, Hidekata (2018) Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum Fitting. Int J Biomed Imaging 2018:9262847
Ogren, Jennifer A; Tripathi, Raghav; Macey, Paul M et al. (2018) Regional cortical thickness changes accompanying generalized tonic-clonic seizures. Neuroimage Clin 20:205-215
Sankar, Tejas; Park, Min Tae M; Jawa, Tasha et al. (2017) Your algorithm might think the hippocampus grows in Alzheimer's disease: Caveats of longitudinal automated hippocampal volumetry. Hum Brain Mapp 38:2875-2896
Potvin, Olivier; Dieumegarde, Louis; Duchesne, Simon et al. (2017) Normative morphometric data for cerebral cortical areas over the lifetime of the adult human brain. Neuroimage 156:315-339
Miklody, Daniel; Bagdasarian, Milena T; Blankertz, Benjamin (2017) A low-dimensional representation for individual head geometries. Conf Proc IEEE Eng Med Biol Soc 2017:3696-3699
Coupé, Pierrick; Catheline, Gwenaelle; Lanuza, Enrique et al. (2017) Towards a unified analysis of brain maturation and aging across the entire lifespan: A MRI analysis. Hum Brain Mapp 38:5501-5518

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