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Frontal lobes and human memory: Insights from functional neuroimaging
Open accessAbstract
The new functional neuroimaging techniques, PET and functional MRI (fMRI), offer sufficient experimental flexibility and spatial resolution to explore the functional neuroanatomical bases of different memory stages and processes. They have had a particular impact on our understanding of the role of the frontal cortex in memory processing. We review the insights that have been gained, and attempt a synthesis of the findings from functional imaging studies of working memory, encoding in episodic memory and retrieval from episodic memory. Though these different aspects of memory have usually been studied in isolation, we suggest that there is sufficient convergence with respect to frontal activations to make such a synthesis worthwhile. We concentrate in particular on three regions of the lateral frontal cortex--ventrolateral, dorsolateral and anterior--that are consistently activated in these studies, and attribute these activations to the updating/maintenance of information, the selection/manipulation/monitoring of that information, and the selection of processes/subgoals, respectively. We also acknowledge a number of empirical inconsistencies associated with this synthesis, and suggest possible reasons for these. More generally, we predict that the resolution of questions concerning the functional neuroanatomical subdivisions of the frontal cortex will ultimately depend on a fuller cognitive psychological fractionation of memory control processes, an enterprise that will be guided and tested by experimentation. We expect that the neuroimaging techniques will provide an important part of this enterprise.
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Miskowiak, K., Inkster, B., O’Sullivan, U., Selvaraj, S., Goodwin, G. M., & Harmer, C. J. (2008) · Experimental Brain Research · doi:10.1007/s00221-007-1102-1 · Cited by 59
Holsen, L. M., Dalton, K. M., Johnstone, T., & Davidson, R. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.08.009 · Cited by 56
Keresztes, A., Kaiser, D., Kovács, G., & Racsmány, M. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht158 · Cited by 56
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Fitzgerald, D. A., Arnold, J. F., Becker, E. S., Speckens, A. E. M., Rinck, M., Rijpkema, M., Fernández, G., & Tendolkar, I. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.061 · Cited by 56
Metadata
- Authors
- Fletcher, P. C.
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-05-01
- Volume
- 124
- Issue
- 5
- Pages
- 849-881
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2019782389
- Cited by
- 1,349
- References
- 15
- FWCI
- 38.92
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.