The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Top‐Down Modulation and Normal Aging
Abstract
Abstract: Normal aging is characterized by cognitive deficits that cross multiple domains and impair the ability of some older individuals to lead productive, high‐quality lives. One of the primary goals of research in our laboratories is to study age‐related alterations in neural mechanisms that underlie a wide range of cognitive processes so that we may generate a unifying principle of cognitive aging. Top‐down modulation is the mechanism by which we enhance neural activity associated with relevant information and suppress activity for irrelevant information, thus establishing a foundation for both attention and memory processes. We use three converging technologies of human neurophysiology to study top‐down modulation in aging: functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and transcranial magnetic stimulation (TMS). Using these tools we have discovered that healthy older adults exhibit a selective inability to effectively suppress neural activity associated with distracting information and that this top‐down suppression deficit is correlated with their memory impairment. We are now further characterizing the basis of these age‐related alterations in top‐down modulation and investigating interventions to remedy them.
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Cites
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Cited by
The role of default network deactivation in cognition and disease
Anticevic, A., Cole, M. W., Murray, J. D., Corlett, P. R., Wang, X.-J., & Krystal, J. H. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.10.008 · Cited by 978
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Kennedy, K. M., & Raz, N. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.01.001 · Cited by 475
Default Network Modulation and Large-Scale Network Interactivity in Healthy Young and Old Adults
Spreng, R. N., & Schacter, D. L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr339 · Cited by 214
Proal, E. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.117 · Cited by 207
Metadata
- Authors
- GAZZALEY, A., & D'ESPOSITO, M.
- Venue
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Published
- 2007-02
- Volume
- 1097
- Issue
- 1
- Pages
- 67-83
- ISSN
- 0077-8923 (ISSN-L)
- 1749-6632
- OpenAlex
- W2102783734
- Cited by
- 219
- References
- 21
- FWCI
- 5.72
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
