The DOI matches its Crossref record; 52 of the 53 references it cites were found in a registry or an index.
Robotic touch shifts perception of embodiment to a prosthesis in targeted reinnervation amputees
Open accessAbstract
Existing prosthetic limbs do not provide amputees with cutaneous feedback. Tactile feedback is essential to intuitive control of a prosthetic limb and it is now clear that the sense of body self-identification is also linked to cutaneous touch. Here we have created an artificial sense of touch for a prosthetic limb by coupling a pressure sensor on the hand through a robotic stimulator to surgically redirected cutaneous sensory nerves (targeted reinnervation) that once served the lost limb. We hypothesize that providing physiologically relevant cutaneous touch feedback may help an amputee incorporate an artificial limb into his or her self image. To investigate this we used a robotic touch interface coupled with a prosthetic limb and tested it with two targeted reinnervation amputees in a series of experiments fashioned after the Rubber Hand Illusion. Results from both subjective (self-reported) and objective (physiological) measures of embodiment (questionnaires, psychophysical temporal order judgements and residual limb temperature measurements) indicate that returning physiologically appropriate cutaneous feedback from a prosthetic limb drives a perceptual shift towards embodiment of the device for these amputees. Measurements provide evidence that the illusion created is vivid. We suggest that this may help amputees to more effectively incorporate an artificial limb into their self image, providing the possibility that a prosthesis becomes not only a tool, but also an integrated body part.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Sensory perception is important for control of the prosthetic limb, a sense of embodiment (3), and in the reduction of phantom limb pain (4, 5).”
From A neural interface provides long-term stable natural touch perception (2014) · cites this paper as [3]
The cited source says what the claim attributes to it.
In the citing paper
“Embodiment may help amputees think of the prosthesis as a body part rather than just a tool (Marasco et al., 2011).”
From Biomimetic approaches to bionic touch through a peripheral nerve interface (2015) · cites this paper as Marasco et al., 2011
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Rubber hands ‘feel’ touch that eyes see
Botvinick, M., & Cohen, J. (1998) · Nature · doi:10.1038/35784 · Cited by 4,410
Multiple Comparison Procedures
Hochberg, Y., & Tamhane, A. C. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316672 · Cited by 2,389
Multiple Comparison Procedures
Hahs-Vaughn, D., & Lomax, R. (2013) · Routledge eBooks · doi:10.4324/9780203137819-17 · Cited by 2,132
Brain–machine interfaces: past, present and future
Lebedev, M. A., & Nicolelis, M. A. L. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.07.004 · Cited by 1,875
That's my hand! Activity in premotor cortex reflects feeling of ownership of a limb
Ehrsson, H. H., Spence, C., & Passingham, R. E. (2004) · Science · doi:10.1126/science.1097011 · Cited by 1,348
The rubber hand illusion revisited: visuotactile integration and self-attribution
Tsakiris, M., & Haggard, P. (2005) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.31.1.80 · Cited by 1,328
Travis, W. D., Castile, R. G., Vawter, G. F., Shwachman, H., Warwick, W. J., Burke, B. A., & Skinner, M. M. (1986) · American Journal of Clinical Pathology · doi:10.1093/ajcp/85.4.419 · Cited by 1,189
My body in the brain: A neurocognitive model of body-ownership.
Tsakiris, M. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.09.034 · Cited by 1,069
Projecting sensations to external objects: evidence from skin conductance response
Armel, K. C., & Ramachandran, V. S. (2003) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.2003.2364 · Cited by 854
Kuiken, T. A., Dumanian, G. A., Lipschutz, R. D., Miller, L. A., & Stubblefield, K. A. (2004) · Prosthetics & Orthotics International · doi:10.3109/03093640409167756 · Cited by 583
Self-citation
Flagged first, then by citations
1 of the 53 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Stark, 2004, Overview of Body-Powered Upper Extremity Prostheses, 175
- Van Dorsten, 2004, Integrating Psychological and Medical Care: Practice Recommendations for Amputation, 73
Cited by
Sorted by citations
Items 301–334 of 334
Electrically-evoked referred sensations induce embodiment of rubber limb
Nguyen, A., Draggoo, B. P., Tobias, B., DuBose, P., & Polasek, K. H. (2023) · Journal of Rehabilitation and Assistive Technologies Engineering · doi:10.1177/20556683231183633
Introduction and comparison of stimulation techniques applied to sensate prosthetics
Qiu, X. (2023) · International Conference on Modern Medicine and Global Health (ICMMGH) · doi:10.1117/12.2692049
Realizing Upper Extremity Bionic Limbs: Leveraging Neuroprosthetic Control Strategies
Kumar, N. G., Chestek, C. A., Cederna, P. S., & Kung, T. A. (2023) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000011183
Innovatives nichtinvasives gangsynchrones vibrotaktiles Feedbacksystem
Kalff, M. N., Witowski, V., Hoursch, V., Kirsten, N., Niehage, L., Kramer, H., Gardetto, A., Sehmisch, S., & Ernst, J. (2024) · Die Unfallchirurgie · doi:10.1007/s00113-024-01466-6
A Novel Control Method Combining Feedforward and Feedback Strategies for Prosthetic Grasping
Liu, L., Tian, G., & Li, K. (2024) · International Conference on Advanced Robotics and Mechatronics (ICARM) · doi:10.1109/icarm62033.2024.10715858
Lana, M. R. V., Maia, J. P., & Ribeiro, J. P. (2024) · Irish Journal of Occupational Therapy · doi:10.1108/ijot-06-2024-0029
Les avatars peuvent-ils remplacer notre corps ?
Genay, A. (2021) · doi:10.64628/aak.upce675tn
On the Neural Correlates of Motor Imagery With an Extra Virtual Arm
Pinheiro, D. J. L. L., Pollina, L., Buetler, K. A., Marchal–Crespo, L., Shokur, S., & Micera, S. (2025) · IEEE Transactions on Medical Robotics and Bionics · doi:10.1109/tmrb.2025.3625073
Lang, V. A., Wasling, H. B., Ackerley, R., & Wessberg, J. (2026) · The Journal of Physiology · doi:10.1113/jp290540
A Waist-Mounted Interface for Mobile Viewpoint-Height Transformation Affecting Spatial Perception
Aoki, J., Kadone, H., & Suzuki, K. (2026) · Sensors · doi:10.3390/s26020372
Hapuarachchi, H., Inoue, Y., Shigemasu, H., & Kitazaki, M. (2026) · Scientific Reports · doi:10.1038/s41598-026-38977-8
Abbasi, A. (2019) · theses.fr (ABES) · doi:10.70675/d2187cf3z47a0z4420z8005zb0c6f6b4e73f
Optimizing cortical feedback strategies for a closed-loop brain machine interface
Lassagne, H. (2023) · theses.fr (ABES) · doi:10.70675/779d5bbaz5470z4faczb771z288a715634b1
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-009
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-012
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-010
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-007
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-002
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-006
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-016
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-011
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-015
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-001
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-004
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-003
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-013
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-008
(2026) · Duke University Press eBooks · doi:10.1215/9781478062233-005
Predictive brains in hyperreal worlds: how XR exploits the indifference to being
Wood, G. M. D. O., & Kober, S. E. (2026) · AI & Society · doi:10.1007/s00146-026-03197-1
Bekrater‐Bodmann, R., & Alimusaj, M. (2026) · Consciousness and Cognition · doi:10.1016/j.concog.2026.104089
Trends in neuroprosthetic technologies to restore sensations
Park, B., Butterworth, W., Lee, N., & Kim, S. (2026) · Biomedical Engineering Letters · doi:10.1007/s13534-026-00603-x
Bioengineered Interfaces for Peripheral Nerve Sensory Restoration
Swedick, S., Hadwe, S. E., Liang, K., Malliaras, G. G., & Barone, D. G. (2026) · Advanced Materials · doi:10.1002/adma.74815
Metadata
- Authors
- Marasco, P. D., Kim, K., Colgate, J. E., Peshkin, M. A., & Kuiken, T. A.
- Affiliations
- Shirley Ryan AbilityLab (US)
- Northwestern University (US)
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-01-20
- Volume
- 134
- Issue
- 3
- Pages
- 747-758
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC3044830
- OpenAlex
- W2121529660
- Cited by
- 335
- References
- 53
- Citations by year
- 2026: 23 · 2025: 8 · 2024: 21 · 2023: 23 · 2022: 22 · 2021: 25 · 2020: 21 · 2019: 24 · 2018: 34 · 2017: 23 · 2016: 18 · 2015: 24 · 2014: 26 · 2013: 17 · 2012: 16
- FWCI
- 11.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Brain (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Open Access System for Information Sharing (Pohang University of Science and Technology) (submittedVersion)
- Funders
- Chicago Community Trust
- National Institutes of Health
- Defense Advanced Research Projects Agency (N66001-06-C-8005)
- Advanced Research Projects Agency
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01-HD-4-4798, R01-HD-4-3137, N01-HD-53402)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Treatment
- Keywords
- amputees, artificial limbs, cutaneous feedback, robotic touch, embodiment, rubber hand illusion, sensory substitution, pressure sensors, temporal order judgment, self-image
- MeSH terms
- Amputation Stumps, Biofeedback, Psychology, Hand, Humans, Illusions, Judgment, Male, Perception, Phantom Limb, Surveys and Questionnaires, Robotics, Sensory Thresholds, Temperature, Touch, Prosthesis Implantation, Young Adult
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 ›
Are you an author, or do you see a problem with this page? Request a review