A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees
Open accessAbstract
Peripheral nerves provide a promising source of motor control signals for neuroprosthetic devices. Unfortunately, the clinical utility of current peripheral nerve interfaces is limited by signal amplitude and stability. Here, we showed that the regenerative peripheral nerve interface (RPNI) serves as a biologically stable bioamplifier of efferent motor action potentials with long-term stability in upper limb amputees. Ultrasound assessments of RPNIs revealed prominent contractions during phantom finger flexion, confirming functional reinnervation of the RPNIs in two patients. The RPNIs in two additional patients produced electromyography signals with large signal-to-noise ratios. Using these RPNI signals, subjects successfully controlled a hand prosthesis in real-time up to 300 days without control algorithm recalibration. RPNIs show potential in enhancing prosthesis control for people with upper limb loss.
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Claims the paper makes
22 of 54 cited sources checked · 11 supported · 0 flagged · accuracy not yet measured
- Premisecitation
As a result, amputees with targeted muscle reinnervation can control only a limited number of independent movements.
“Consequently, implanted amputees can control a limited number of independent movements (11).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [11] source
- Premisecitation
Existing peripheral nerve interfaces have limitations that reduce their clinical usefulness.
“However, current peripheral nerve interfaces have limitations, which minimize their clinical utility (1, 2).”
Quote in the paperSubstantial claim1 of 2 sources checked - Premisecitation
Cuff electrodes placed around a nerve have improved sensory feedback in humans for more than two years.
“Electrodes placed around a nerve have been successfully used in humans for improving sensory feedback for more than 2 years.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [8] source
- Premisecitation
The chronic bipolar electrodes used in this study are similar to electrodes previously observed to record stable EMG for up to 7.5 years.
“The chronic bipolar electrodes used in this study are similar to those that have been previously observed to record stable EMG for up to 7.5 years (23).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [23] source
The Methods and Results describe implanted bipolar EMG recording electrodes, and the Discussion says the subjects used implanted EMG electrodes for control. But the 7.5-year observation in the Results and Discussion concerns functioning nerve cuff electrodes, not stable EMG recordings; the copy does not establish that duration for the recording electrodes. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
Earlier studies obtained prosthetic control signals by connecting to intact residual-limb muscles.
“In previous studies, investigators have provided prosthetic control signals by interfacing with intact muscles in the residual limb.”
Quote in the paperSubstantial claim2 of 5 sources checked
- Premisecitation
As of that time, pattern recognition controllers had outperformed conventional controllers in standardized functional trials.
“To date, pattern recognition controllers have outperformed conventional controllers during standardized functional trials (36).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [36] source
- Premisecitation
Earlier work on simultaneous multiple-DOF control concentrated on wrist and hand open/closed control.
“Previous studies of simultaneous control of multiple DOFs have focused on controlling the wrist and hand open/closed (26, 28, 30).”
Quote in the paperNot a substantial claim2 of 3 sources checked - Premisecitation
Previous animal work showed that RPNIs need about three months to mature and stabilize.
“results from previous animal work, which demonstrated that it took approximately 3 months for RPNIs to mature and stabilize (12, 15–17).”
Quote in the paperSubstantial claim1 of 4 sources checked- cites [12] source
- cites [15] source
- cites [16] source
The Methods (§2.1; page unavailable) say the rats recuperated for four months to allow healing and graft reinnervation, with evaluation during the fourth month. The paper reports that RPNI signal amplitudes did not vary appreciably over the evaluation period (Figure 4 caption; page unavailable), but it does not demonstrate that maturation and stabilization took approximately three months. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [17] source
- Findingown data
In two participants with above-elbow RPNIs and no remaining long finger or wrist flexors or extensors, ultrasound showed RPNI contractions during phantom finger movements.
“Two participants (P1 and P2) with RPNIs created above the elbow (that is, no long flexors or extensors of the fingers or wrist remain) were evaluated with ultrasound, and their RPNIs were observed to contract during phantom finger movements.”
Quote in the paperSubstantial claim - Findingown data
Subjects used RPNI signals to control a hand prosthesis in real time for up to 300 days without recalibrating the control algorithm.
“Using these RPNI signals, subjects successfully controlled a hand prosthesis in real-time up to 300 days without control algorithm recalibration.”
Quote in the paperSubstantial claim - Findingown data
RPNIs implanted in participants with upper extremity limb loss actively produced muscle contractions during volitional phantom finger movement.
“Here, we show that RPNIs, implanted in participants with upper extremity limb loss, actively produced RPNI muscle contractions during volitional phantom finger movement.”
Quote in the paperSubstantial claim - Findingown data
Ultrasound showed prominent RPNI contractions during phantom finger flexion, confirming functional reinnervation of the RPNIs in two patients.
“Ultrasound assessments of RPNIs revealed prominent contractions during phantom finger flexion, confirming functional reinnervation of the RPNIs in two patients.”
Quote in the paperSubstantial claim - Findingown data
In two additional patients, RPNIs produced electromyography signals with large signal-to-noise ratios.
“The RPNIs in two additional patients produced electromyography signals with large signal-to-noise ratios.”
Quote in the paperSubstantial claim - Findingown data
P1's median nerve RPNIs showed independent contractions during attempted thumb IP and index finger PIP/DIP joint flexion of the phantom limb.
“These median nerve RPNIs, identified by ultrasound, demonstrated independent contractions during attempted thumb IP and index finger proximal IP (PIP)/distal IP (DIP) joint flexion of the phantom limb (movie S1).”
Quote in the paperSubstantial claim - Findingown data
When the classifier was trained with both RPNI signals and residual muscle signals, four different grasping postures were decoded.
“When the classifier was trained with both RPNI signals and residual muscle signals (see Materials and Methods), we were able to decode four different grasping postures (fig. S3).”
Quote in the paperNot a substantial claim - Findingown data
Ulnar nerve RPNIs activated for finger abduction and adduction.
“In addition, the ulnar nerve RPNIs activated for finger abduction/adduction; anatomically, these finger motions are exclusively controlled by the ulnar innervated intrinsic muscles of the hand (Fig. 3, A and B).”
Quote in the paperSubstantial claim - Findingown data
In P3 and P4, large-amplitude, anatomically appropriate motor control signals were recorded from indwelling RPNI electrodes.
“In both participants, large amplitude, anatomically appropriate motor control signals were recorded from the indwelling RPNI electrodes (n = 2,3).”
Quote in the paperSubstantial claim - Findingown data
Ultrasound imaging showed that separate parts of each RPNI contracted during different intended movements.
“With ultrasound guidance, we demonstrated that different subregions of each RPNI contracted for different volitional movements.”
Quote in the paperSubstantial claim - Findingown data
For P4, the real-time and simulated thumb positions differed by 53.8% during active thumb periods.
“P4’s real-time and simulated thumb position differed by 53.8% during active thumb periods (fig. S4B).”
Quote in the paperNot a substantial claim - Findingown data
In P3 and P4, isolating dedicated RPNI movement on ultrasound was difficult because adjacent innervated residual muscles contracted and changed shape.
“However, because of the motion of the surrounding innervated residual muscles, dedicated RPNI movement was difficult to isolate because of the contractions and conformational changes of the adjacent innervated residual muscle.”
Quote in the paperNot a substantial claim - Findingown data
With implanted indwelling electrodes at the distal transradial level, RPNI EMG became active during particular intrinsic hand movements.
“With surgically implanted indwelling electrodes at the distal transradial level, we have shown that RPNI EMG activation occurred during specific intrinsic hand movements.”
Quote in the paperSubstantial claim - Findingown data
P3 used three-degree-of-freedom control to complete a self-paced box and blocks task.
“The participant used this three DOF control to complete a self-paced box and blocks task (movie S12).”
Quote in the paperNot a substantial claim - Findingown data
P4 could not lift the LUKE hand to complete the functional tasks because of its weight.
“Because of the weight, P4 was unable to lift the LUKE hand to complete the functional tasks.”
Quote in the paperNot a substantial claim - Findingown data
In this study, no change in motor performance was observed in either subject.
“In this study, however, we did not observe a change in motor performance in either subject.”
Quote in the paperSubstantial claim - Findingown data
During real-time control, P3 controlled virtual thumb opposition and flexion, small finger flexion, finger adduction, and resting hand postures with 100% accuracy.
“During real-time control, P3 was able to control the virtual thumb opposition and flexion, as well as small finger flexion, finger adduction, and resting hand postures with 100% accuracy (Fig. 4A and movie S4).”
Quote in the paperSubstantial claim - Findingnone given
Surface electrodes produced lower-amplitude EMG than intramuscular electrodes.
“Although surface electrodes recorded smaller amplitude EMG signals than intramuscular electrodes”
Quote in the paperNot a substantial claim - Findingown data
P4 successfully and sequentially completed three Southampton Hand Assessment Procedure abstract tasks.
“The subject successfully and sequentially completed a trio of Southampton Hand Assessment Procedure (SHAP) abstract tasks (movie S12).”
Quote in the paperNot a substantial claim - Findingown data
P4 controlled ring finger, thumb flexion, small finger, finger abduction, and resting hand postures with 94.3% accuracy.
“P4 was able to control the ring finger, thumb flexion, small finger, finger abduction, and resting hand postures with 94.3% accuracy (Fig. 4B and movie S5).”
Quote in the paperSubstantial claim - Findingown data
Adding residual EMG from the FDPI muscle produced continuous control of three DOFs during functional tasks.
“As demonstrated during functional tasks, continuous control of three DOFs was achieved by adding residual EMG from the FDPI muscle.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The thumb state vector represents thumb flexion/extension and thumb opposition/reposition position and velocity.
- Findingown data
P3 and P4 could control intrinsic thumb muscles through both their ulnar and median RPNIs.
“The most promising finding of intrinsic hand functionality was the ability for P3 and P4 to control the intrinsic muscles of their thumb using both their ulnar and median RPNIs.”
Quote in the paperSubstantial claim - Findingown data
A simple naïve Bayes classifier trained only with RPNI signals decoded five different finger postures in each subject, both offline and in real time.
“Using a simple naïve Bayes classifier trained with only RPNI signals, we were able to decode five different finger postures in each subject, both offline and in real time (Fig. 4).”
Quote in the paperSubstantial claim - Findingown data
RPNI signal recording identified physiologically correct motions from each peripheral nerve in both P3 and P4.
“RPNI signal recording specifically identified physiologically correct motions from each of the peripheral nerves in both participants.”
Quote in the paperSubstantial claim - Findingown data
Each subject controlled fist, pinch, point, and extend fingers with 100% accuracy.
“In addition, each subject was able to control fist, pinch, point, and extend fingers with 100% accuracy (fig. S3, A and B, and movie S6).”
Quote in the paperSubstantial claim - Findingown data
In P2, two identified RPNIs contracted with some amplitude variation during thumb CMC/MCP/IP flexion, index PIP/DIP flexion, and middle, ring, and small finger PIP/DIP flexion.
“With some variation in amplitude, they contracted during thumb carpometacarpal (CMC)/metacarpophalangeal (MCP)/IP joint flexion, index PIP/DIP joint flexion, and middle, ring, small finger PIP/DIP joint flexion (Fig. 2B and movie S3).”
Quote in the paperSubstantial claim - Findingown data
In this study, RPNIs gave P3 and P4 intuitive two-axis thumb control, covering thumb flexion/extension and thumb opposition/reposition.
“In this study, RPNIs enabled P3 and P4 to have intuitive two-axis thumb control including thumb flexion/extension and thumb opposition/reposition.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The thumb state vector represents thumb flexion/extension and thumb opposition/reposition position and velocity.
- Findingown data
The high accuracy of thumb control during the virtual task translated well to the physical prosthesis for P3.
“The high accuracy of the thumb control seen during the virtual task translated well to the physical prosthesis (movie S11).”
Quote in the paperNot a substantial claim - Findingown data
There was a significant difference between the original and simulated trajectories (P < 0.001).
“There was a significant difference between the original and simulated trajectories (P < 0.001), which suggests that the RPNI signals played an important role in contributing to the subject’s intentional thumb movement.”
Quote in the paperSubstantial claim - Findingown data
P1's median RPNI contractions were accompanied by minimal movement of the surrounding tissue.
“These contractions were associated with minimal movement of the surrounding tissue.”
Quote in the paperNot a substantial claim - Findingown data
There was minimal median nerve RPNI signal during small finger flexion.
“As expected, there was minimal median nerve RPNI signal detection during small finger flexion (Fig. 3, A and B).”
Quote in the paperNot a substantial claim - Findingown data
In P4, ulnar RPNI 2 was more strongly activated during finger abduction/adduction and thumb CMC/MCP joint motion than ulnar RPNI 1.
“Ulnar RPNI 2 was more strongly activated during finger abduction/adduction and thumb CMC/MCP joint motion than ulnar RPNI 1 (Fig. 3B).”
Quote in the paperNot a substantial claim - Findingown data
On the last day, P3 and P4 still acquired targets with high accuracy, 100% and 96.4%, respectively.
“On the last day, P3 and P4 were still able to acquire targets with high accuracy, 100 and 96.4%, respectively (Fig. 5, A and B, and movies S7 and S8).”
Quote in the paperSubstantial claim - Findingown data
P3 and P4's SNRs for RPNIs with implanted bipolar electrodes were substantially larger than the measured SNR of nerve cuff electrodes or intraneural probes, which ranges from 4 to 15.
“Nonetheless, P3 and P4’s SNRs were substantially larger for RPNIs with implanted bipolar electrodes than measured SNR in nerve cuff electrodes or intraneural probes, whose SNR ranges from 4 to 15 (3, 9, 21, 22).”
Quote in the paperSubstantial claim0 of 4 sources checked - Findingown data
For P3, the normalized average Euclidean distance between the real-time predicted two-dimensional thumb trajectory and the simulated two-dimensional thumb position trajectory was 25.5% of the maximum range of motion during active thumb periods.
“The normalized average Euclidean distance between P3’s real-time predicted two-dimensional thumb trajectory and simulated two-dimensional thumb position trajectory was 25.5% of the maximum range of motion during active thumb periods (fig. S4A).”
Quote in the paperNot a substantial claim - Findingnone given
RPNIs remain a stable peripheral nerve interface over time.
“RPNIs have shown proficiency in amplifying motor nerve signals, enabling motor selectivity, allowing smooth continuous control of one and two DOF thumb movements, and remaining a stable peripheral nerve interface over time.”
Quote in the paperSubstantial claim - Findingown data
RPNIs amplify motor nerve signals.
“RPNIs have shown proficiency in amplifying motor nerve signals, enabling motor selectivity, allowing smooth continuous control of one and two DOF thumb movements, and remaining a stable peripheral nerve interface over time.”
Quote in the paperSubstantial claim - Findingown data
Offline Kalman filter analysis found that 100-ms bins gave P4 the best decoding performance.
“Offline Kalman filter analysis showed that the 100-ms bins gave P4 the best decoding performance.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The thumb state vector represents thumb flexion/extension and thumb opposition/reposition position and velocity.
- Findingown data
RPNIs can record efferent motor nerve action potentials at both intrinsic and extrinsic stages.
“We have demonstrated that RPNIs can be used to record efferent motor nerve action potentials at both the intrinsic and extrinsic stages.”
Quote in the paperSubstantial claim - Findingown data
RPNIs enable motor selectivity.
“RPNIs have shown proficiency in amplifying motor nerve signals, enabling motor selectivity, allowing smooth continuous control of one and two DOF thumb movements, and remaining a stable peripheral nerve interface over time.”
Quote in the paperSubstantial claim - Findingreasoning
RPNIs allow smooth continuous control of one- and two-DOF thumb movements.
“RPNIs have shown proficiency in amplifying motor nerve signals, enabling motor selectivity, allowing smooth continuous control of one and two DOF thumb movements, and remaining a stable peripheral nerve interface over time.”
Quote in the paperSubstantial claim - Interpretationown data
RPNIs have the potential to improve prosthesis control for individuals with upper limb loss.
“RPNIs show potential in enhancing prosthesis control for people with upper limb loss.”
Quote in the paperSubstantial claim - Premisecitation
The free muscle graft undergoes a roughly three-month process of regeneration, revascularization, and reinnervation by the implanted peripheral nerve.
“The free muscle graft undergoes an approximately 3-month process of regeneration, revascularization, and reinnervation by the implanted peripheral nerve (12).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12] source
- Interpretationcitation
Pattern recognition controllers will remain necessary until a more robust continuous controller is created.
“This suggests that pattern recognition controllers will still be needed until a more robust continuous controller is developed.”
Quote in the paperSubstantial claim - Interpretationreasoning
If intrinsic hand muscles and extrinsic finger flexors and extensors are missing, control signals cannot be effectively obtained without direct peripheral nerve interfacing.
“However, when intrinsic hand muscles and extrinsic flexors and extensors of the fingers are absent, there is no effective way to obtain these control signals without directly interfacing with the peripheral nerves.”
Quote in the paperSubstantial claim - Interpretationown data
RPNIs act selectively in function.
“Together, this suggests that RPNIs are functionally selective.”
Quote in the paperSubstantial claim - Interpretationown data
The significant difference between original and simulated trajectories suggests that RPNI signals played an important role in the subject's intentional thumb movement.
“There was a significant difference between the original and simulated trajectories (P < 0.001), which suggests that the RPNI signals played an important role in contributing to the subject’s intentional thumb movement.”
Quote in the paperSubstantial claim - Interpretationown data
RPNIs offer a route for directly extracting efferent motor action potentials from the peripheral nerve.
“RPNIs have provided an alternative where directly extracting efferent motor action potentials from the peripheral nerve is possible.”
Quote in the paperSubstantial claim - Interpretationown data
This pilot study showed that the RPNI technique can be a viable clinical option for improving prosthesis control in upper-extremity amputations.
“This pilot study has demonstrated that the RPNI technique can be a viable clinical option to improve prosthesis control for upper extremity amputations”
Quote in the paperSubstantial claim - Interpretationown data
In four upper limb amputees, RPNIs might be an effective peripheral nerve interface for providing efferent motor signals to control prosthetic devices.
“We have shown in four upper limb amputees that RPNIs might be an effective peripheral nerve interface to provide efferent motor signals for control of prosthetic devices.”
Quote in the paperSubstantial claim - Interpretationown data
The RPNI amplifies efferent nerve signals to provide favorable signal-to-noise ratios for high-fidelity control of both extrinsic and intrinsic hand functions.
“The RPNI amplifies efferent nerve signals to provide favorable SNRs for high-fidelity control of both extrinsic and intrinsic hand functions.”
Quote in the paperSubstantial claim- Rests on an assumption: The signals recorded from RPNI electrodes are efferent motor action potentials generated by the RPNI grafts rather than by other sources.
- Study design and conductnone given
Safety concerns limited how many intramuscular electrodes could be implanted.
“we were limited in the number of intramuscular electrodes that we could implant for safety reasons.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 15
- May combine two claims. 38
Classified as probably not a substantial claim.
PremisecitationAn RPNI consists of a transected peripheral nerve or nerve fascicle implanted into a free muscle graft.
“RPNI is composed of a transected peripheral nerve, or peripheral nerve fascicle, that is implanted into a free muscle graft (12, 13).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [12] source
- cites [13] source
The Introduction and Methods describe an RPNI attached to the end of a divided peripheral nerve. But this study constructed it with cultured myoblasts in a scaffold—silicone mesh or acellular muscle—not by implanting the nerve or a fascicle into a free muscle graft. The cited passages also do not describe use of a nerve fascicle. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThis process creates a stable peripheral nerve bioamplifier that produces high-amplitude EMG signals that could be used to control a prosthetic device.
“This process creates a stable, peripheral nerve bioamplifier that produces high-amplitude EMG signals, which could be used to control a prosthetic device (14–17).”
Quote in the paperSubstantial claim1 of 4 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationRPNIs have been shown to prevent and treat neuroma pain and phantom pain after amputation.
“In addition, RPNIs have been shown to prevent and treat neuroma pain and phantom pain after amputation (18–20).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [18] source
- cites [19] source
- cites [20] source
The Results and Discussion report reduced neuroma and phantom pain after RPNI surgery in 16 amputees treated for symptomatic neuromas. The Conclusions and Future Directions describe neuroma prevention at primary amputation as a potential use requiring further study; this pilot study does not show prevention of either neuroma or phantom pain. (LLM, conf=0.90)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIntraneural electrodes can record distinct efferent motor action potentials, but their signal amplitude tends to decline over time.
“Electrodes placed within a peripheral nerve can record distinct efferent motor action potentials but over time are susceptible to decline in signal amplitude (3, 4).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [3] source
- cites [4] source
The Results section, “Decoding USEA recordings allowed intuitive control of many movements” (page unavailable), reports neuronal action potentials and distinct movement-related firing patterns from intraneural electrodes. It also reports fewer electrodes with movement-correlated activity over time in one subject, but does not report a decline in signal amplitude; the Discussion (“Decode,” page unavailable) likewise describes declining recording ability, not amplitude. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThat approach gave usable signal amplitude and allowed some prosthetic limb control in transradial amputees.
“This strategy has provided reasonable signal amplitude and some control of a prosthetic limb in patients undergoing transradial amputations (24–28).”
Quote in the paperNot a substantial claim2 of 5 sources checked- cites [24] source
- cites [25] source
- cites [26] source
- cites [27] source
The Introduction says powered transradial prostheses use forearm EMG signal amplitudes for limited control. The Abstract reports that five transradial amputees used residual-forearm signals to control a virtual arm, but the Discussion explicitly says they did not test a physical prosthesis. The paper does not establish a particular ‘reasonable’ signal amplitude. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [28] source
The Methods and amputee-subject Results report that two transradial amputees used EMG to control a cursor in a virtual task. The Discussion explicitly says physical-prosthesis testing remains to be done, and the paper does not establish that the strategy provided reasonable signal amplitude. Thus, it supports some myoelectric control in transradial amputees, but not the claimed signal amplitude or control of a physical prosthetic limb. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationRPNIs effectively reduce symptomatic neuroma pain and prevent neuroma formation.
“RPNIs have shown to be an effective technique to reduce symptomatic neuroma pain and also prevent neuroma formation (18–20).”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [18] source
- cites [19] source
- cites [20] source
The Results report a 71% reduction in neuroma pain among 16 amputees treated with RPNIs. The Abstract Conclusions and Discussion state that RPNIs prevent neuroma formation through their proposed mechanism, but the Conclusions and Future Directions say prophylactic use still needs study. This pilot study therefore supports pain reduction, not a demonstrated clinical benefit in preventing new neuromas. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrior work found that RPNI recordings yielded stable EMG for as long as 7.5 years.
“have been previously observed to record stable EMG for up to 7.5 years (23).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [23] source
The Results (Electrode performance; page not provided) report that nerve cuff electrodes continued to function for 7.5 years in one subject. The Methods describe separate implanted EMG recording electrodes, and the Discussion says subjects used them for control, but neither passage reports stable EMG recordings for 7.5 years or identifies the electrodes as RPNIs. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationIntraneural probes such as the Utah slanted electrode array can provide large signals but currently have problems with signal stability over time.
“In addition, intraneural probes, such as the Utah slanted electrode array, can provide large signals but currently run into issues of signal stability over time (4).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [4] source
The Discussion (Study limitations and Decode; page unavailable) reports unstable USEA recording ability and a decline in neural recording from post-implant day 13 to 30. It does not establish that the probes provide large neural signals; its reference to higher-amplitude signals concerns EMG that masked neural activity. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationTMR necessarily cuts nerve branches to residual muscles and denervates existing muscle.
“as is necessary in TMR (29).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [29] source
The Introduction (page unavailable) says TMR transfers remaining arm nerves to residual muscles, and the Methods (page unavailable) identify muscles that received those transfers. Our copy does not say that TMR necessarily cuts the target muscles’ existing nerve branches or denervates existing muscle. (LLM, conf=0.83)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationTMR has shown comparable results, and a newer study found that TMR reduces phantom limb pain.
“Similar results have been demonstrated with TMR (37), with a more recent study providing evidence that TMR decreases phantom limb pain (38).”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationEMG-driven musculoskeletal models exist for real-time, physiologically accurate prosthesis control in functional tasks, but they have controlled only two to three DOFs.
“EMG-driven musculoskeletal models have been developed for real-time, physiologically accurate prosthesis control during functional tasks (30) but have only shown control of two to three DOFs.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [30] source
May combine two claims.
Findingown dataIndependent efferent motor action potentials were recorded from RPNIs and provided real-time prosthetic finger control for up to 300 days without recalibrating the control algorithm.
“In addition, we successfully recorded independent efferent motor action potentials from RPNIs, which provided real-time prosthetic finger control up to 300 days without recalibration of the control algorithm.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn P1, median RPNI 1 contracted for thumb flexion, while median RPNI 2 through RPNI 4 and part of RPNI 1 contracted for index finger flexion.
“Specifically, median RPNI 1 contracted for thumb flexion, whereas median RPNI 2 to RPNI 4 and a subsection of RPNI 1 contracted for index finger flexion (Fig. 2A).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataP4's median nerve RPNI had an average peak-to-peak amplitude of 579 ± 209 μV (SNR 19.1), ulnar RPNI 1 had 334 ± 80.9 μV (SNR 15.6), and ulnar RPNI 2 had 501 ± 164 μV (SNR 28.3).
“Likewise, P4’s median nerve RPNI had an average peak-to-peak amplitude of 579 ± 209 μV (SNR = 19.1), ulnar nerve RPNI 1 had an amplitude of 334 ± 80.9 μV (SNR = 15.6), and ulnar nerve RPNI 2 had an amplitude of 501 ± 164 μV (SNR = 28.3) (fig. S2, C and D).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDuring index finger flexion, median RPNI 1 contracted more than surrounding tissue (P < 0.001), while median RPNI 2 to RPNI 4 showed smaller contractions and mixed pixel changes.
“For index finger flexion, median RPNI 1 contracted more than the surrounding tissue (P < 0.001), whereas observation of median RPNI 2 to RPNI 4 demonstrated smaller contractions and had mixed pixel changes (table S2).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn P1, clear EMG spikes were associated with thumb movements in median RPNI 1 (SNR 4.62) and with small finger movements in ulnar RPNI 1 and RPNI 2 (mean SNR 3.80).
“Here, we observed clear EMG spikes associated with thumb movements in median RPNI 1, with a signal-to-noise ratio (SNR) of 4.62, and for small finger movements in ulnar RPNI 1 and RPNI 2 (mean SNR = 3.80) (Fig. 2C).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRPNIs remained a stable peripheral nerve interface for 2 years in P1, 8 months in P2, 3 years in P3, and 1 year in P4.
“In comparison, RPNIs have remained a stable peripheral nerve interface for 2 years in P1, 8 months in P2, 3 years in P3, and 1 year in P4.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataA small subsection of P1's ulnar RPNI showed small but visible contractions during volitional index finger movement.
“A small subsection of the ulnar RPNI did appear to undergo small but visible contractions during volitional index finger movement.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMost movements were selected quickly, with the fastest motion selection times under 0.3 s.
“The majority of movements were selected quickly, with the fastest motion selection times, or the times between EMG onset and the classifier’s prediction, less than 0.3 s”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataP1's median RPNI 1 and ulnar RPNI 1 and RPNI 2 showed a significant change in mean pixel intensity compared with surrounding tissue during thumb and small finger flexion, respectively, with P < 0.001 for both comparisons.
“Overall, P1’s median RPNI 1 and ulnar RPNI 1 and RPNI 2 had a significant change in mean pixel intensity than the surrounding tissue during thumb and small finger flexion, respectively (P < 0.001 for both comparisons).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOn day 0, P3 and P4 acquired virtual thumb targets with 100% and 96.3% accuracy, respectively.
“P3 and P4 acquired targets with 100 and 96.3% accuracy on day 0, respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe mean SNR of recorded EMG was 4.21 in P1, 68.9 in P3, and 21.0 in P4.
“The SNR of the recorded EMG had a mean of 4.21 in P1, 68.9 in P3, and 21.0 in P4.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataP3 and P4 performed a two-axis thumb target hitting task, hitting eight targets with 100% and 97.2% accuracy and average times to success of 0.987 ± 0.16 s and 2.83 ± 0.43 s, respectively.
“P3 and P4 performed the same target hitting task in these two axes, hitting eight targets with 100 and 97.2% accuracy with an average time to success of 0.987 ± 0.16 and 2.83 ± 0.43 s, respectively (Fig. 5, E and F, and movie S9).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSingle motor units extracted from P3 and P4's median RPNIs showed day-to-day signal amplitude variability of ±17.2% and ±6.63%, respectively, with no observable decreasing trend in amplitude.
“In addition, extraction of single motor units from P3 and P4’s median RPNIs showed signal amplitude variability from day to day, ±17.2 and ±6.63%, respectively, but no observable decreasing trend in amplitude (Fig. 5, C and D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor P3's most preferred movement, the median RPNI had an average peak-to-peak amplitude of 2.77 ± 0.660 mV with SNR 102, and the ulnar RPNI had 501 ± 145 μV with SNR 36.1.
“The averaged peak-to-peak amplitude for the most preferred movement on the RPNIs was 2.77 ± 0.660 mV with an SNR of 102 and 501 ± 145 μV with an SNR of 36.1 on P3’s median and ulnar RPNIs, respectively (fig. S2, A and B).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn P1, most of ulnar RPNI 1 and RPNI 2 contracted during volitional small finger PIP/DIP joint flexion, while a subsection of both contracted for thumb movement.
“The bulk of RPNI 1 and RPNI 2 contracted during volitional small finger PIP/DIP joint flexion of the phantom hand, whereas a subsection of both RPNIs contracted for thumb movement (Fig. 2A and movie S2).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataP4 performed the same two-axis task using surface EMG, hitting targets with 78.4% accuracy and an average time to success of 4.40 ± 0.50 s.
“As a direct comparison, P4 performed the same task using surface EMG (see Materials and Methods), hitting targets with 78.4% accuracy with an average time to success of 4.40 ± 0.50 s (movie S10).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataUlnar nerve RPNIs activated during phantom thumb flexion and showed minimal activation during index finger flexion.
“For the ulnar nerve RPNIs, RPNI activation appropriately occurred during flexion of the phantom thumb, whereas minimal activation occurred during index finger flexion.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataP3 and P4 had averaged motion selection times across all movements of 0.172 ± 0.105 s and 0.234 ± 0.0894 s, respectively.
“P3 and P4’s averaged motion selection time across all movements were 0.172 ± 0.105 and 0.234 ± 0.0894 s, respectively (means ± SD; table S3).”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe RPNI operation avoided cutting nerve branches to residual upper-arm muscles, so it did not denervate existing muscle.
“we did not need to transect any nerve branches to any of the residual muscles of the upper arm and, thus, did not denervate existing muscle”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationRecording specific efferent motor action potentials is difficult because the signals are small, which limits how many independent control signals can be recorded.
“However, recording specific efferent motor action potentials is challenging because of the small amplitude of the signals, limiting the number of independent control signals that can be recorded (9).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] source
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenIn targeted muscle reinnervation, a normally innervated muscle must be partially denervated to create a new target for recording EMG signals from the implanted nerve.
“With TMR, a normally innervated muscle must be partially denervated to provide a new target for recording EMG signals from the implanted nerve.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationElectrical stimulation of afferent sensory axons has shown promise for providing tactile feedback.
“Instead, electrical stimulation has shown promise in providing tactile feedback through stimulation of afferent sensory axons (3, 5–7).”
Quote in the paperNot a substantial claim0 of 4 sources checkedMay combine two claims.
Interpretationown dataIn upper limb amputees, the regenerative peripheral nerve interface acts as a biologically stable amplifier of efferent motor action potentials and remains stable over the long term.
“Here, we showed that the regenerative peripheral nerve interface (RPNI) serves as a biologically stable bioamplifier of efferent motor action potentials with long-term stability in upper limb amputees.”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningIn targeted muscle reinnervation, two or three nerves may be implanted into the same target muscle, which makes recording independent control signals from individual nerves or fascicles difficult.
“In addition, two or three nerves (median, radial, and ulnar) may be implanted into the same target muscle (for example, the pectoralis major muscle), making it difficult to record independent control signals from individual nerves or fascicles.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationTargeted muscle reinnervation can provide multiple control signals by transferring divided peripheral nerves in a residual limb to intact local or regional muscles, with surface EMG used to record efferent motor control signals.
“Targeted muscle reinnervation (TMR) can provide multiple control signals by transferring divided peripheral nerves in a residual limb to intact local or regional muscles. Surface electromyography (EMG) is then used to record the efferent motor control signals (10).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10] source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationown dataSurface EMG amplitude was lower than intramuscular EMG, which may have contributed to the lower performance.
“Surface EMG amplitude was lower than intramuscular EMG, which may have contributed to the decrease in performance.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenP3's nerves had an additional two years to reinnervate his muscle grafts before electrode implantation.
“P3’s nerves had an additional 2 years to reinnervate his muscle grafts before electrode implantation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe unexpected ulnar RPNI contraction during index finger movement may be explained by P1's 16 years without a hand, which could make some volitional movements hard to generate independently.
“This was anatomically unexpected but may be due to P1’s 16-year period without a hand, making certain volitional movements difficult to generate independently.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe study design did not directly compare RPNIs with other surgical approaches such as TMR.
“Our study design did not include a direct comparison to other surgical approaches (for example, TMR).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataRPNI contractions in two participants lacking finger-related musculature suggest that nerves carrying efferent motor action potentials for finger function successfully reinnervated the RPNIs, giving P1 and P2 volitional control over their phantom hand.
“These RPNI contractions, seen in two participants missing finger-related musculature, suggest that nerves carrying efferent motor action potentials controlling finger functionality successfully reinnervated the RPNIs, allowing P1 and P2 to have volitional control over their phantom hand.”
Quote in the paperSubstantial claim- Rests on an assumption: The attempted phantom finger movements made by participants correspond to volitional motor commands in the residual nerves that can drive RPNI contractions.
May combine two claims.
InterpretationreasoningThe wide SNR gap between P1, P3, and P4 is likely due to the smaller bipolar electrode spacing in acute fine wires (1 mm) versus indwelling EMG electrodes (10 mm), while the difference between P3 and P4 may be due to the period of reinnervation.
“The wide SNR gap between P1, P3, and P4 is likely due to the smaller bipolar electrode spacing in acute fine wires (1 mm) versus indwelling EMG electrodes (10 mm), whereas the difference between P3 and P4’s measured SNR may be due to the period of reinnervation.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThese findings suggest that efferent motor action potentials can be recorded from individual nerve fascicles using RPNIs, and each fascicle may carry distinct motor control signals.
“These findings suggest that efferent motor action potentials can be recorded using RPNIs from individual nerve fascicles, each of which may have distinct and unique motor control signals.”
Quote in the paperSubstantial claim- Rests on an assumption: The signals recorded from RPNI electrodes are efferent motor action potentials generated by the RPNI grafts rather than by other sources.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningMore accurate surgical targeting of the bipolar indwelling electrode into the RPNI may explain the larger amplitude efferent motor action potential signals compared with P1.
“The more accurate surgical targeting of the bipolar indwelling electrode into the RPNI may account for the larger amplitude efferent motor action potential signals compared with P1.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThese findings suggest that RPNI grafts amplify efferent motor nerve action potentials, actively contract, and produce EMG signals similar to residual muscle.
“This suggests that these RPNI grafts amplify efferent motor nerve action potentials, actively contract, and generate EMG signals similar to residual muscle.”
Quote in the paperSubstantial claim- Rests on an assumption: The signals recorded from RPNI electrodes are efferent motor action potentials generated by the RPNI grafts rather than by other sources.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe University of Michigan Institutional Review Board approved the study, and each participant gave written informed consent.
“The Institutional Review Board at the University of Michigan approved this study, and each participant provided written and informed consent.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenNo power analysis was performed before the study.
“No power analysis was calculated before the study.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe study was a first-in-human, non-blinded, nonrandomized pilot.
“This was a first-in-human, non-blinded, nonrandomized pilot study.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThat electrode limit required careful selection of which residual muscles to implant for best prosthesis control.
“This led to a careful decision on which residual muscles to implant to provide the best prosthesis control for the subjects.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The attempted phantom finger movements made by participants correspond to volitional motor commands in the residual nerves that can drive RPNI contractions.
“Participants were asked at the beginning of each behavioral task whether they could move the fingers of their phantom limb. In this situation, the RPNIs were observed contracting during movement of the phantom fingers.”
The paper relies on this without support.
The signals recorded from RPNI electrodes are efferent motor action potentials generated by the RPNI grafts rather than by other sources.
“In both participants, large amplitude, anatomically appropriate motor control signals were recorded from the indwelling RPNI electrodes (n = 2,3).”
The paper relies on this without support.
Both the median and ulnar nerves supply several intrinsic thumb muscles that help flex the thumb CMC and MCP joints.
“This is anatomically appropriate since both the median and ulnar nerves innervate several intrinsic muscles, which assist in flexing the thumb CMC/MCP joints.”
The authors state this as an assumption.
The thumb state vector represents thumb flexion/extension and thumb opposition/reposition position and velocity.
“We assume that the thumb state vector xt represents the position and velocity of the thumb flexion/extension and thumb opposition/reposition.”
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“Similarly, the more recent RNPI represents another promising technique for bioamplification of motor signals and its successful demonstration in experimental trials encourages their potential adoption in clinical practice (Vu et al 2020b).”
InfluentialTechnological Advances in Prosthesis Design and Rehabilitation Following Upper Extremity Limb Loss
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A highly integrated bionic hand with neural control and feedback for use in daily life
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Medial Temporal Lobe Networks in Alzheimer's Disease: Structural and Molecular Vulnerabilities
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“Decreasing Postamputation Pain with the Regenerative Peripheral Nerve Interface (RPNI)”
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Conformal electrodes for on‐skin digitalization
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“In essence, the RPNIs act as a bioamplifier of the efferent motor action potentials [55, 56].”
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IoT Controlled Device to Manage the EMG Signals of the Patient and Alert in Real Time
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“In addition, the system features a real-time alert mechanism that prompts warnings to be sent to healthcare professionals or carers if important deviations or aberrant EMG patterns are detected [5].”
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Biology and pathophysiology of symptomatic neuromas
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Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
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“interface like one reported in our previous work [14]–[16] and others [17]–[26] is less invasive while still providing sufficient motor control signals with simultaneous somatosensory neuro-”
BackgroundMalpetti, M., Joie, R. L., & Rabinovici, G. D. (2022) · Journal of Nuclear Medicine · doi:10.2967/jnumed.121.263694 · Cited by 45 · see citing works
Mechanoneural interfaces for bionic integration
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“This is a painful procedure that can cause individual dropout and represents a limitation of the technology used to interface with RPNI constructs 19 .”
BackgroundMethodInfluentialRegenerative peripheral nerve interface free muscle graft mass and function
Hu, Y., Ursu, D. C., Sohasky, R. A., Sando, I. C., Ambani, S. W., French, Z. P., Mays, E. A., Nedic, A., Moon, J. D., Kung, T. A., et al. (2020) · Muscle & Nerve · doi:10.1002/mus.27138 · Cited by 41 · see citing works
Self-citationRegenerative Peripheral Nerve Interface Surgery: Anatomic and Technical Guide
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“Although approaches that automatically weight individual muscle and nerve signals may provide more accurate estimates of intended kinematics [32], [39].”
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Self-citationThe future of upper extremity rehabilitation robotics: research and practice
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“A more recent study demonstrated that RPNIs are anatomically viable in humans, enabling long-term recording of efferent motor action potentials.(67) Instead of using surface electrodes, intramuscular bipolar electrodes have been implanted directly into RPNIs to produce large SNR signals that have been used to control…”
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“Recently, researchers demonstrated prosthesis finger control using signals from regenerative peripheral nerve interfaces in individuals with upper limb amputation [9].”
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A modular strategy for next-generation upper-limb sensory-motor neuroprostheses
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“Most of the control and sensory feedback strategies available or proposed so far rely on the transduction/encoding of efferent/afferent electrical signals from/to the brain, exploiting the peripheral physiological structures (nerves and muscles) ( 5 – 12 ).”
BackgroundEngineered Protein Nanocages for Concurrent RNA and Protein Packaging In Vivo
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Upper limb prostheses: bridging the sensory gap
Roche, A. D., Bailey, Z., Gonzalez, M. A., Vu, P. P., Chestek, C. A., Gates, D. H., Kemp, S. W. P., Cederna, P. S., Ortiz-Catalan, M., & Aszmann, O. C. (2023) · Journal of Hand Surgery (European Volume) · doi:10.1177/17531934221131756 · Cited by 30 · see citing works
“The RPNI has been shown in extensive animal studies and human trials to provide high fidelity motor control of prostheses (Irwin et al., 2016; Kung et al., 2014; Urbanchek et al., 2016; Vaskov et al., 2022; Vu et al., 2020).”
BackgroundSelf-citationIssa, C. J., Svientek, S. R., Dehdashtian, A., Cederna, P. S., & Kemp, S. W. P. (2022) · Plastic & Reconstructive Surgery Global Open · doi:10.1097/gox.0000000000004549 · Cited by 29 · see citing works
Self-citation3D Printed Dry Electrodes for Electrophysiological Signal Monitoring: A Review
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“In fact, the PNS undergoes a process of disordered axonal sprouting and elongation because the muscle belly is already fully innervated by its native motor nerve, and thus the regenerating axons of the PNS are not introduced to any targets to reinnervate (Vu et al., 2020).”
InfluentialXu, S., Li, C., Wei, C., Kang, X., Shu, S., Liu, G., Xu, Z., Han, M., Luo, J., & Tang, W. (2024) · Advanced Science · doi:10.1002/advs.202304763 · Cited by 27 · see citing works
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Hierarchical Human-Inspired Control Strategies for Prosthetic Hands
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“This large SNR facilitates high-accuracy detection of motor intention for the control of prosthetic devices [52, 54].”
InfluentialSelf-citationD’Accolti, D., Clemente, F., Mannini, A., Mastinu, E., Ortiz-Catalan, M., & Cipriani, C. (2023) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2023.3235680 · Cited by 26 · see citing works
“While recent surgical techniques like Targeted Muscle Reinnervation (TMR) [2] and Regenerative Peripheral Nerve Interface (RPNI) [3] along with neuromusculoskeletal interfaces [4] or wireless Implantable MyoElectric Sensor (IMES) [5] implantation have shown the potential to restore accessibility to neural paths disrup…”
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Self-citationRegenerative Peripheral Nerve Interfaces for Advanced Control of Upper Extremity Prosthetic Devices
Kumar, N. G., Kung, T. A., & Cederna, P. S. (2021) · Hand Clinics · doi:10.1016/j.hcl.2021.04.005 · Cited by 25 · see citing works
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Hepatic adaptation to chronic metabolic stress primes tumorigenesis
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Restoring Form and Function to the Partial Hand Amputee
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First Demonstration of Functional Task Performance Using a Sonomyographic Prosthesis: A Case Study
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Deep Learning-Based Approaches for Decoding Motor Intent From Peripheral Nerve Signals
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Estimating muscle activation from EMG using deep learning-based dynamical systems models
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“To visualize the consistency of the oscillations observed in AutoLFADS output from the monkey isometric task, we varied the lead or lag for individual trials in order to minimize the residual between the single-trial activity and the trial-average for a given condition (Williams et al 2020).”
Review on Microscale Sensors with 3D Engineered Structures: Fabrication and Applications
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Emerging Medical Technologies and Their Use in Bionic Repair and Human Augmentation
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“In contrast, penetrating electrodes, such as inter-fasicular electrodes [80], intra-fasicular electrodes [81], and regenerative electrodes [82,83], can achieve better spatial resolution and specificity while still facing challenges of longevity, stability, and infection.”
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“It has been widely applied in various human-machine interactions (HMI), including rehabilitation [2], [3], exoskeleton control [4], [5], and prosthetic control [6], [7].”
Lin, Z., Yu, P., Chen, Z., & Li, G. (2023) · Journal of Orthopaedic Surgery and Research · doi:10.1186/s13018-023-04116-6 · Cited by 23 · see citing works
“These amplified EMG signals can be used to control smart prostheses, which is also beneficial for improving amputees’ quality of life [28].”
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The Future of Biohybrid Regenerative Bioelectronics
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“Intelligent prosthetic control is achieved by the extraction of biological signals in RPNI (Woo et al., 2014; Irwin et al., 2016; Vu et al., 2020).”
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“Other very recent and promising techniques exist, namely targeted muscle reinnervation (TMR) and regenerative peripheral nerve interface (RPNI) [33, 34], but they require a much more complex surgical manipulation.”
Lee, C., Vaskov, A. K., Gonzalez, M. A., Vu, P. P., Davis, A. J., Cederna, P. S., Chestek, C. A., & Gates, D. H. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac9e1c · Cited by 17 · see citing works
“Using these control signals, participants controlled virtual finger movements with high accuracy, including thumb flexion and opposition, which were exclusively achieved using RPNI signals [29].”
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Solution structure and synaptic analyses reveal determinants of bispecific T cell engager potency
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Der chirurgische Umgang mit peripheren Nerven nach Extremitätenverlust
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Regenerative peripheral nerve interfaces (RPNIs): current status and future direction
Burke, K. L., Kung, T. A., Hooper, R. C., Kemp, S. W. P., & Cederna, P. S. (2022) · Plastic and Aesthetic Research · doi:10.20517/2347-9264.2022.26 · Cited by 15 · see citing works
Self-citationGonzalez, M. A., Nwokeabia, C., Vaskov, A. K., Vu, P. P., Lu, C. W., Patil, P. G., Cederna, P. S., Chestek, C. A., & Gates, D. H. (2023) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2023.3345164 · Cited by 16 · see citing works
“Prior research has demonstrated that RPNI muscle tissue maintains a consistent size [19] and produces consistent motor signals when electrodes are surgically implanted into them after creation for periods of up to 3 years [20].”
Self-citationClinical Applications and Future Translation of Somatosensory Neuroprostheses
Graczyk, E. L., Hutchison, B. C., Valle, G., Bjånes, D. A., Gates, D. H., Raspopović, S., & Gaunt, R. A. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1237-24.2024 · Cited by 17 · see citing works
Self-citationCross-reactive antibody responses against SARS-CoV-2 and seasonal common cold coronavirusesPreprint
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Creation of a biological sensorimotor interface for bionic reconstruction
Festin, C., Ortmayr, J., Maierhofer, U., Tereshenko, V., Blumer, R., Schmoll, M., Rojas, G. C., Luft, M., Laengle, G., Farina, D., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49580-8 · Cited by 15 · see citing works
A low-power communication scheme for wireless, 1000 channel brain–machine interfaces
Costello, J. T., Nason, S. R., An, H., Lee, J., Mender, M. J., Temmar, H., Wallace, D. M., Lim, J., Willsey, M. S., Patil, P. G., et al. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac7352 · Cited by 14 · see citing works
Self-citationUpper Extremity Prosthetics: Current Options and Future Innovations
Xu, W., Toyoda, Y., & Lin, I. C. (2023) · The Journal Of Hand Surgery · doi:10.1016/j.jhsa.2023.05.018 · Cited by 13 · see citing works
Excitation of natural spinal reflex loops in the sensory-motor control of hand prostheses
Alva, P. G. S., Boesendorfer, A., Aszmann, O. C., Ibáñez, J., & Farina, D. (2024) · Science Robotics · doi:10.1126/scirobotics.adl0085 · Cited by 13 · see citing works
George, J. A., Tully, T. N., Colgan, P. C., et al. (2020) · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/embc44109.2020.9175388 · Cited by 13 · see citing works
Karczewski, A. M., Dingle, A. M., & Poore, S. O. (2021) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2021.711028 · Cited by 13 · see citing works
Proof of concept for multiple nerve transfers to a single target muscle
Luft, M., Klepetko, J., Muceli, S., Ibáñez, J., Tereshenko, V., Festin, C., Laengle, G., Politikou, O., Maierhofer, U., Farina, D., et al. (2021) · eLife · doi:10.7554/elife.71312 · Cited by 14 · see citing works
“Regenerative peripheral nerve interfaces RPNIs (Vu et al., 2020), for example, are created by implanting transected peripheral nerves into small free muscle grafts, which serve as neuronal control signal amplifiers.”
BackgroundInfluentialPatient-reported outcomes: A primer for plastic surgeons
Talwar, A. A., Niu, E. F., Broach, R. B., Nelson, J. A., & Fischer, J. P. (2023) · Journal of Plastic Reconstructive & Aesthetic Surgery · doi:10.1016/j.bjps.2023.08.008 · Cited by 12 · see citing works
- Authors
- Vu, P. P., Vaskov, A. K., Irwin, Z. T., Henning, P. T., Lueders, D. R., Laidlaw, A. T., Davis, A. J., Nu, C. S., Gates, D. H., Gillespie, R. B., Kemp, S. W. P., Kung, T. A., Chestek, C. A., & Cederna, P. S.
- Affiliations
- University of Michigan (US)
- Michigan Medicine (US)
- Corresponding author
- Chestek, Cynthia A.
- Cederna, Paul S.
- ORCID
- Venue
- Science Translational Medicine
- Published
- 2020-03-04
- Volume
- 12
- Issue
- 533
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- PMC
- PMC8082695
- OpenAlex
- W3009733360
- Cited by
- 291
- References
- 40
- Citations by year
- 2026: 33 · 2025: 47 · 2024: 53 · 2023: 48 · 2022: 56 · 2021: 36 · 2020: 18
- FWCI
- 18.09
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science Translational Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Defense Sciences Office, DARPA (N66001-16-1-4006)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Keywords
- regenerative peripheral nerve interface, peripheral nerve interfaces, upper limb amputees, prosthetic hand control, neuroprosthetics, bioamplification, functional reinnervation, electromyography, signal stability
- MeSH terms
- Amputees, Artificial Limbs, Electromyography, Hand, Humans, Peripheral Nerves, Upper Extremity
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