The DOI matches its Crossref record; 29 of the 30 references it cites were found in a registry or an index.
Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall
Open accessAbstract
Objective . We demonstrate here the first successful implementation in humans of a proof-of-concept system for restoring and improving memory function via facilitation of memory encoding using the patient’s own hippocampal spatiotemporal neural codes for memory. Memory in humans is subject to disruption by drugs, disease and brain injury, yet previous attempts to restore or rescue memory function in humans typically involved only nonspecific, modulation of brain areas and neural systems related to memory retrieval. Approach . We have constructed a model of processes by which the hippocampus encodes memory items via spatiotemporal firing of neural ensembles that underlie the successful encoding of short-term memory. A nonlinear multi-input, multi-output (MIMO) model of hippocampal CA3 and CA1 neural firing is computed that predicts activation patterns of CA1 neurons during the encoding (sample) phase of a delayed match-to-sample (DMS) human short-term memory task. Main results . MIMO model-derived electrical stimulation delivered to the same CA1 locations during the sample phase of DMS trials facilitated short-term/working memory by 37% during the task. Longer term memory retention was also tested in the same human subjects with a delayed recognition (DR) task that utilized images from the DMS task, along with images that were not from the task. Across the subjects, the stimulated trials exhibited significant improvement (35%) in both short-term and long-term retention of visual information. Significance . These results demonstrate the facilitation of memory encoding which is an important feature for the construction of an implantable neural prosthetic to improve human memory.
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“To that end, it is now feasible to measure cognition (as read out by standard laboratory cognitive tasks) in real time, and to adjust stimulation in response to cognitive changes (Widge et al. 2017, Ezzyat et al. 2018, Hampson et al. 2018, Yousefi et al. 2019).”
From Deep brain stimulation for psychiatric disorders: From focal brain targets to cognitive networks (2021) · cites this paper as Hampson et al. 2018
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A cortical neural prosthesis for restoring and enhancing memory
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Self-citationDirect Electrical Stimulation of the Human Entorhinal Region and Hippocampus Impairs Memory
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Research works printed but not linked: 1
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Transcranial alternating current stimulation entrains single-neuron activity in the primate brain
Krause, M. R., Vieira, P. G., Csorba, B. A., Pilly, P. K., & Pack, C. C. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1815958116 · Cited by 341
Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics
Mikhaylov, A. N., Pimashkin, A. S., Pigareva, Y., Gerasimova, S. A., Gryaznov, E. G., Shchanikov, S., Zuev, A. D., Talanov, M. O., Lavrov, I. A., Demin, V. A., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00358 · Cited by 189
Neurotechnologies for Human Cognitive Augmentation: Current State of the Art and Future Prospects
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Hacking the Brain: Dimensions of Cognitive Enhancement
Dresler, M., Sandberg, A., Bublitz, C., Ohla, K., Trenado, C., Mroczko-Wąsowicz, A., Kühn, S., & Repantis, D. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.8b00571 · Cited by 175
Neuropsychological tests of the future: How do we get there from here?
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Metadata
- Authors
- Hampson, R. E., Song, D., Robinson, B. S., Fetterhoff, D., Dakos, A. S., Roeder, B. M., She, X., Wicks, R. T., Witcher, M. R., Couture, D. E., Laxton, A. W., Munger-Clary, H., Popli, G., Sollman, M. J., Whitlow, C. T., Marmarelis, V. Z., Berger, T. W., & Deadwyler, S. A.
- Affiliations
- Atrium Health Wake Forest Baptist (US)
- University of Southern California (US)
- University of Southern California
- Wake Forest Baptist Medical Center
- Corresponding author
- Hampson, Robert E
- ORCID
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2018-03-28
- Volume
- 15
- Issue
- 3
- Pages
- 036014
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- PMC
- PMC6576290
- OpenAlex
- W2795210532
- Cited by
- 224
- References
- 30
- Citations by year
- 2026: 18 · 2025: 18 · 2024: 22 · 2023: 21 · 2022: 28 · 2021: 35 · 2020: 25 · 2019: 44 · 2018: 12
- FWCI
- 17.24
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Defense Advanced Research Projects Agency (N66001-14-C-4016)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- memory encoding, memory retrieval, short-term memory, working memory, long-term memory retention, CA1, CA3, neuronal ensembles, electrical brain stimulation, delayed matching-to-sample, memory enhancement
- MeSH terms
- Electrodes, Implanted, Hippocampus, Humans, Memory, Short-Term, Psychomotor Performance, Mental Recall, Neural Prostheses
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