Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
Open accessAbstract
Noninvasive neuroimaging and increased user engagement improve EEG-based neural decoding and facilitate real-time 2D robotic device control.
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- Findingown data
The framework improved BCI learning by more than 500% in the continuous pursuit task.
“by over 500% in the more realistic continuous pursuit task.”
- Also stated in: § Introduction · plain
“and by over 500% in the more realistic CP task.”
Quote in the paperSubstantial claim - Also stated in: § Introduction · plain
- Findingown data
The framework improved BCI learning by nearly 60% for traditional center-out tasks.
“our unique framework enhanced BCI learning by nearly 60% for traditional center-out tasks”
- Also stated in: § Introduction · plain
“employing a CP task training paradigm increased BCI learning by nearly 60% for traditional DT tasks”
Quote in the paperSubstantial claim - Also stated in: § Introduction · plain
- Findingown data
A noninvasive EEG-based framework can provide neural control of a robotic device during continuous random target tracking.
“Here, we present and validate a noninvasive framework utilizing electroencephalography (EEG) to achieve the neural control of a robotic device for continuous random target tracking.”
- Also stated in: § Introduction · plain
“we present here a unified noninvasive framework for the continuous EEG-based 2-dimensional (2D) control of a physical robotic arm.”
Quote in the paperSubstantial claim - Also stated in: § Introduction · plain
- Findingown data
The effect size for the source-sensor performance difference in naïve users was strikingly similar to that in experienced users.
“Nevertheless, the effect size for the performance difference was strikingly similar to that of experienced users (Fig, 5a,c, Table S1), indicating an improvement of similar magnitude.”
Quote in the paperSubstantial claim - Findingreasoning
CP task training produced stronger behavioral and physiological learning effects than traditional DT task training.
“We found that CP task training produced stronger behavioral and physiological learning effects than traditional DT task training”
- Also stated in: § Discussion · boosted
“We have demonstrated that the CP BCI paradigm can not only be used to successfully gauge a user’s BCI proficiency, but can also serve as a more effective training tool than traditional center-out DT tasks”
Quote in the paperSubstantial claim- Rests on an assumption: Engaging users and maintaining attention through stimulating task paradigms may reduce differences in internal motivation.
- Also stated in: § Discussion · boosted
- Findingown data
Source features were generally more correlated with cued motor-related mental states than sensor features.
“Similar to these previous works, we found that, in general, source features were more correlated with cued motor-related mental states than sensor features (Fig. S9) (44, 45).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [44] Cincotti F, High-resolution EEG techniques for brain-computer interface applications. J. Neurosci. Methods 167, 31– 42 (2008). 17706292 source
Not checked in the free run.
- cites [45] Yuan H, Doud A, Gururajan A, He B, Cortical imaging of event-related (de) synchronization during online control of brain-computer interface using minimum-norm estimates in frequency domain. IEEE Trans. Neural Syst. Rehabil. Eng 16, 425– 31 (2008). 18990646 PMC2597339 source
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- Findingown data
Feature maps showed a dichotomy between naïve users with weak, sporadic clusters and experienced users with strong, focal clusters for both control dimensions.
“When looking at the feature maps (Fig. 5g), an important dichotomy can be observed between naïve (weak, sporadic clusters) and experienced (strong, focal clusters) users for both control dimensions”
Quote in the paperSubstantial claim - Findingown data
In the CP group, significant electrodes clustered closer to scalp regions over the approximate hand cortical areas.
“Furthermore, these significant electrodes cluster far closer to scalp regions covering the approximate hand cortical regions (e.g. C3–4, CP3–4, etc.) in the CP group.”
Quote in the paperNot a substantial claim - Findingown data
Sensor and source control MSE values for naïve users were comparable to those of the CP training group before training.
“As expected, the sensor and source control MSE values for the naïve users were comparable to those of the CP training group pre-training (baseline, also naive).”
Quote in the paperNot a substantial claim - Findingown data
Visual obstruction of the target was common when the robotic arm reached across the user to the left side of the screen, often disturbing target tracking.
“We found that with the robotic arm mounted on the right side of the user (Fig. 1 bottom, Fig. 6a), visual obstruction of the target was common when the arm was directed to reach across the user to the left side of the screen, often perturbing target tracking.”
Quote in the paperNot a substantial claim - Findingown data
Feature spread was significantly or near-significantly reduced for experienced users compared with naïve users in horizontal and vertical dimensions.
“We observed both significant or near significant reductions in the feature spread for experienced users, compared to naïve users, in both the horizontal (Mann-Whitney U test with Bonferroni correction, source: p < 0.005, sensor: p < 0.05) and vertical (Mann-Whitney U test with Bonferroni correction, source: p < 0.005, sensor: p = 0.22) control dimensions.”
Quote in the paperSubstantial claim - Findingown data
sCP training feature maps highlighted hand cortical regions for both control dimensions throughout training.
“As expected, sCP training feature maps highlighted hand cortical regions for both control dimensions throughout training (Fig. 4d).”
Quote in the paperNot a substantial claim - Findingown data
For robotic arm control, generic head models were sufficient for high quality performance, rather than user-specific MRIs.
“In fact, we observed that for robotic arm control, generic head models, rather than those derived from user-specific MRIs, were sufficient for high quality performance (see ‘Methods’ section).”
Quote in the paperSubstantial claim - Findingown data
Online noninvasive neuroimaging with real-time ESI improved CP BCI control by about 10% in users experienced with sensor-based BCI.
“We further demonstrated an additional enhancement in BCI control of almost 10% by using online noninvasive neuroimaging.”
- Also stated in: § Introduction · boosted
“The utility of real-time ESI further introduced a significant 10% improvement in CP BCI control for users experienced in classical sensor-based BCI.”
Quote in the paperSubstantial claim - Also stated in: § Introduction · boosted
- Findingown data
Users moved smoothly between virtual cursor and robotic arm control with only small performance changes.
“Users were able to smoothly transition between virtual cursor and robotic arm control with minimal changes in performance (Fig. 6d–e)”
Quote in the paperSubstantial claim - Findingown data
The framework enabled a near seamless transition from virtual cursor control to real-time robotic arm control.
“this framework was deployed in a physical task, demonstrating a near seamless transition from the control of an unconstrained virtual cursor to the real-time control of a robotic arm.”
- Also stated in: § Introduction · boosted
“we demonstrated the continuous control of a robotic arm (Videos S4–7) at almost identical levels to that of virtual cursor control”
Quote in the paperSubstantial claim - Also stated in: § Introduction · boosted
- Findingown data
Sensorimotor modulation significantly increased for both horizontal and vertical task pairs from baseline to evaluation.
“While sensorimotor modulation significantly increased for both task pairs from baseline to evaluation (horizontal F(1,20)=4.70, p < 0.05, vertical F(1,20)=21.01, p < 0.005; Fig. 3a, c)”
Quote in the paperSubstantial claim - Findingown data
There was no significant difference in squared tracking correlation between conditions for either horizontal or vertical dimensions.
“This likeness in control quality was further revealed through a lack of significant difference in the squared tracking correlation (ρ2) for both the horizontal (F(2,40) = 0.13, p = 0.88, Fig. 6e) and vertical (F(2,40) = 0.77, p = 0.47, Fig 6e) dimensions.”
Quote in the paperSubstantial claim - Findingown data
MSE values were similar among virtual cursor, hidden cursor, and robotic arm tracking conditions.
“In transitioning between virtual cursor and robotic arm control, we observed similar MSE values among the three tracking conditions; virtual cursor, hidden cursor, and robotic arm (F(2,40) = 2.62, p = 0.086, Fig. 6d)”
Quote in the paperSubstantial claim - Findingown data
Across all sessions and individuals, median squared tracking correlations for 2D control were about 0.13 horizontally and 0.09 vertically.
“Across all sessions and individuals, median squared tracking correlation values reached ρhor2=0.13 (IQR=0.04-0.32) and ρver2=0.09 IQR=0.03- 0.28 in the horizontal and vertical dimensions, respectively, for 2D control.”
Quote in the paperSubstantial claim - Findingown data
Experienced users spent significantly more time within a target-centered disc during source control than during sensor control.
“Experienced users dwelt within this defined region, a disc with a diameter of 16.67% of the workspace width centered on the target (Fig. 5e), for significantly more time during source control than sensor control (F(1,69) = 20.96, p < 0.005, Fig. 5f).”
Quote in the paperSubstantial claim - Findingown data
Across 22 participants, there was a significant main effect of time for both CP MSE and DT PVC.
“Across these 22 participants, the results of a repeated-measures two-way ANOVA revealed a significant main effect of time for both the CP MSE (F(1,20)=7.39, p < 0.05, Fig. 2d) and DT PVC (F(1,20)=19.80, p < 0.005, Fig. 2e) metrics.”
Quote in the paperSubstantial claim - Findingown data
Across all participants, blink activity was strongly reduced at baseline.
“Across all participants, blink activity was strongly dampened at the baseline (F(1,63) = 9.84, p < 0.005, Fig. 2g)”
Quote in the paperSubstantial claim - Findingown data
The CP task produced a larger reduction in blink activity than the DT task, with a p-value of 0.066.
“The large reduction in blink activity observed during the CP task, compared to the DT task (F(1,63) = 3.51, p = 0.066, Fig. 2g)”
Quote in the paperSubstantial claim - Findingnone given
Participants in the robotic arm experiment had less experience than those in the original CP task validation.
“Additionally, while participants here displayed previous BCI proficiency, they had less experience than those participating in the original CP task validation.”
Quote in the paperSubstantial claim - Findingown data
For experienced users, source control significantly reduced 2D MSE compared with conventional sensor control.
“For experienced users, source control improved performance over that of conventional sensor control, producing a significant reduction in the 2D MSE (F(1,69) = 9.83, p < 0.01, Fig. 5a).”
Quote in the paperSubstantial claim - Findingown data
Tracking performance was significantly greater than chance for all control conditions and dimensions.
“Tracking performance was significantly greater than chance for all control conditions and dimensions (Mann-Whitney U test with Bonferroni correction, all p < 0.05).”
Quote in the paperSubstantial claim - Findingown data
Learning effects were very similar for the CP and sCP groups across both tasks.
“Accordingly, very similar learning effects were observed for both tasks in the CP and sCP groups (Fig. 4c).”
Quote in the paperSubstantial claim - Interpretationcitation
Continuous pursuit control allows complex control of a virtual cursor and robotic device without needing discretized, lengthy task sequences.
“The results presented here demonstrate that CP control provides a unique opportunity for the complex control of a virtual cursor and robotic device (14, 39), without requiring discretized, prolonged task sequences (46) that can make even simple task completion long and frustrating.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [14] Chaudhary U, Birbaumer N, Ramos-Murguialday A, Brain–computer interfaces for communication and rehabilitation. Nat. Rev. Neurol 12, 513– 525 (2016). 27539560 source
Not checked in the free run.
- cites [39] Hochberg LR, Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature. 485, 372– 5 (2012). 22596161 PMC3640850 source
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- cites [46] Meng J, Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks. Sci. Rep 6, 38565 (2016). 27966546 PMC5155290 source
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- Premisecitation
It may be hard to obtain sufficiently large patient populations for concrete and statistically significant conclusions.
“Additionally, it is apparent from previous work that access to sufficiently large patient populations for concrete and statistically significant conclusions may be difficult to obtain (1–5, 8, 11, 29, 39).”
Quote in the paperNot a substantial claim0 of 9 sources checked- cites [1] Pandarinath C, High performance communication by people with paralysis using an intracortical brain-computer interface. Elife. 6, 1– 27 (2017). PMC5319839 28220753 source
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- cites [2] Vansteensel MJ, Fully Implanted Brain–Computer Interface in a Locked-In Patient with ALS. N. Engl. J. Med 375, 2060– 2066 (2016). 27959736 PMC5326682 source
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- cites [3] Bouton CE, Restoring cortical control of functional movement in a human with quadriplegia. Nature. 533, 247– 250 (2016). 27074513 source
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- cites [4] Soekadar SR, Hybrid EEG/EOG-based brain-neural hand exoskeleton resotres fully independent living acitivies after quadriplegie, Sci. Robot, 1, eeag3296 (2016). 33157855 source
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- cites [5] Chaudhary U, Xia B, Silvoni S, Cohen LG, Birbaumer N, Brain–Computer Interface–Based Communication in the Completely Locked-In State. PLOS Biol. 15, e1002593 (2017). 28141803 PMC5283652 source
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- cites [8] Leeb BR, Towards independence: A BCI telepresence robot for people with severe motor disabilities. Proc. IEEE 103, 969– 82 (2015). source
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- cites [11] Holz EM, Botrel L, Kaufmann T, Kübler A, Long-term independent brain-computer interface home use improves quality of life of a patient in the locked-in state: A case study. Arch. Phys. Med. Rehabil 96, S16– S26 (2015). 25721543 source
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- cites [29] Hochberg LR, Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature. 442, 164– 71 (2006). 16838014 source
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- cites [39] Hochberg LR, Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature. 485, 372– 5 (2012). 22596161 PMC3640850 source
Not checked in the free run.
- Interpretationcitation
The localized changes provide compelling evidence that the CP group's behavioral improvement was accompanied by consistent physiological changes in sensorimotor modulation.
“These localized changes provide compelling evidence that the enhanced behavioral improvement seen in the CP training group was accompanied by consistent physiological changes in sensorimotor modulation (R2 values) (34).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [34] Perdikis S, Tonin L, Saeedi S, Schneider C, del R. Millán J, The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users. PLoS Biol. 16 (2018), doi: 10.1371/journal.pbio.2003787. PMC5944920 29746465 source
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- Premisecitation
Poor signal quality makes decoding neural events harder, especially for noninvasive EEG.
“Poor signal quality can further complicate the ability to decode neural events, especially when utilizing noninvasive signals such as EEG (21).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] Ball T, Kern M, Mutschler I, Aertsen A, Schulze-Bonhage A, Signal quality of simultaneously recorded invasive and non-invasive EEG. Neuroimage. 46, 708– 716 (2009). 19264143 source
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- Interpretationown data
The heightened engagement during CP may explain its more dramatic positive training effects.
“a feature that may explain the more dramatic positive training effects.”
Quote in the paperSubstantial claim- Rests on an assumption: Engaging users and maintaining attention through stimulating task paradigms may reduce differences in internal motivation.
- Interpretationreasoning
The performance decline between the original CP task and the modified CP task is strongly attributed to task modifications made for the robotic arm's physical constraints.
“We feel it is necessary to acknowledge the decline in performance that occurred between the original CP task and the modified CP task which we believe to be strongly attributed to the task modifications made for the physical constraints of the robotic arm.”
Quote in the paperNot a substantial claim- Rests on an assumption: The physical robotic device inherently creates a more distracting environment for neural control than a virtual cursor.
- Interpretationown data
The sCP group's nearly identical learning effects to the original sensor CP group provide confidence in the reproducibility of CP task training effects.
“Participants in this group (sCP) displayed nearly identical learning effects as the original sensor CP group, while training with source control, providing confidence for the reproducibility of the effects of CP task training.”
Quote in the paperSubstantial claim - Interpretationown data
The smooth transition suggests that integrating this noninvasive assistive tool into clinical applications for autonomous daily use may be easy.
“indicating the potential ease of integrating such a noninvasive assistive tool into clinical applications for autonomous use in daily life.”
Quote in the paperNot a substantial claim - Interpretationown data
The consistency of final performance and learning rates between CP and sCP supports shared familiar and unfamiliar task proficiency.
“The final performance and learning rates were consistent between the two training groups (CP and sCP), supporting the groups’ shared familiar and unfamiliar task proficiency.”
Quote in the paperSubstantial claim - Interpretationown data
The consistency of source control benefit across skill levels highlights a robust positive influence of source control on online performance.
“This consistency, independent of skill level, highlights a robust positive influence of source control on online performance.”
Quote in the paperSubstantial claim - Interpretationreasoning
The combination of reduced user experience and enhanced sensory loading caused the performance reduction compared with the virtual cursor environment.
“We believe that this combination of reduced user experience and enhanced sensory loading caused by the more complex human-device interaction involving the robotic arm led to a reduction in performance compared to the highly controlled virtual cursor control environment.”
Quote in the paperNot a substantial claim- Rests on an assumption: The physical robotic device inherently creates a more distracting environment for neural control than a virtual cursor.
- Interpretationcitation
The stronger learning effect from CP training can be attributed to the Yerkes-Dodson law.
“an effect that can be credited to the Yerkes-Dodson law (20).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] Yerkes RM, Dodson JD, The relation of strength of stimulus to rapidity of habit-formation. J. Comp. Neurol. Psychol 18, 459– 482 (1908). source
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- Rests on an assumption: Engaging users and maintaining attention through stimulating task paradigms may reduce differences in internal motivation.
- Study design and conductreasoning
The real-time ESI platform allowed neural decoding to be isolated and evaluated in sensor and source domains without confounding online processing steps.
“By developing a real-time ESI platform, we were able to isolate and evaluate neural decoding in both the sensor and source domain without introducing the confounding online processing steps that often accompany other spatial filtering techniques”
Quote in the paperSubstantial claim - Premisecitation
EEG-based BCIs aimed at restorative arm and hand interventions are among the least effective BCI systems.
“electroencephalography (EEG) based BCIs targeting such restorative interventions are some of the least effective (12, 13).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [12] Collinger JL, Collaborative approach in the development of high-performance brain-computer interfaces for a neuroprosthetic arm: Translation from animal models to human control. Clin. Transl. Sci 7, 52– 9 (2014). 24528900 PMC3929226 source
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- cites [13] Anderson KD, Targeting Recovery: Priorities of the Spinal Cord-Injured Population. J. Neurotrauma 21, 1371– 1383 (2004). 15672628 source
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- Premisecitation
Most current BCI task paradigms use simple cued center-out tasks made of discrete trials.
“Current BCI task paradigms overwhelmingly involve simple cued center-out tasks defined by discrete trials (DT) of neural control (18).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] Wolpaw JR, McFarland DJ, Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. Proc. Natl. Acad. Sci. U. S. A 101, 17849– 54 (2004). 15585584 PMC535103 source
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- Premisecitation
ESI has yielded large improvements in offline neural decoding compared with traditional sensor techniques.
“Dramatic improvements in offline neural decoding have been observed when using ESI compared to traditional sensor techniques (24, 27)”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [24] Edelman BJ, Baxter B, He B, EEG Source Imaging Enhances the Decoding of Complex Right-Hand Motor Imagery Tasks. IEEE Trans. Biomed. Eng 63, 4– 14 (2016). 26276986 PMC4716869 source
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- cites [27] Shenoy Handiru V, Vinod AP, Guan C, EEG source space analysis of the supervised factor analytic approach for the classification of multi-directional arm movement. J. Neural Eng. 14, 46008 (2017). 28516901 source
Not checked in the free run.
- May combine two claims. 21
- Classified as probably not a substantial claim. 23
- The quote only partly states this claim. 1
May combine two claims.
Findingown dataCP-trained users showed significant performance improvements in familiar and unfamiliar tasks, demonstrating flexible skill acquisition.
“Contrary to users trained with the DT task, those trained with the CP task displayed significant performance improvements in familiar and unfamiliar tasks (Fig. 2d–f), demonstrating highly flexible skill acquisition.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataExperienced users' trajectories had squared tracking correlations of about 0.48 horizontally and 0.47 vertically.
“Trajectories from experienced users were unwrapped (Fig. S1c) to reveal squared tracking correlations of ρhor2=0.48±0.20 and ρver2=0.47±0.19 (Fig. S2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor the horizontal dimension at evaluation, the CP group showed highly focal bilateral modulation patterns, while the DT group showed more global modulation.
“For the horizontal dimension at the evaluation session, the CP group produced highly focal bilateral modulation patterns, whereas more global modulation was observed for the DT group (Fig. 3b).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNaïve users showed overall improved online performance with source control, but the improvement did not reach significance for 2D control.
“Naïve users also demonstrated overall improved online performance with source control, although this improvement did not reach significance for 2D control (F(1,12) = 3.02, p = 0.11, Fig. 5c).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataUsers in this study struggled to keep the cursor in one location and often showed oscillatory tracking around the target.
“In accordance with invasive reports, users in our study struggled to keep the cursor in a single location, often exhibiting oscillatory tracking behavior around the target (Fig. 2b, S1a–b).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe CP BCI paradigm can gauge a user's BCI proficiency and is a more effective training tool than traditional center-out DT tasks.
“We have demonstrated that the CP BCI paradigm can not only be used to successfully gauge a user’s BCI proficiency, but can also serve as a more effective training tool than traditional center-out DT tasks, accelerating the acquisition of neural cursor control and driving the associated physiological changes.”
Quote in the paperSubstantial claim- Rests on an assumption: Engaging users and maintaining attention through stimulating task paradigms may reduce differences in internal motivation.
May combine two claims.
Findingown dataThe DT-trained group only modestly improved in the CP task after training, while the CP-trained group significantly improved in the DT task.
“When considering unfamiliar tasks, the DT training group only modestly improved in the CP task after training (Tukey’s HSD post hoc p = 0.96, Fig. 2d, right bars) while the CP training group displayed a significant improvement in the DT task (Tukey’s HSD post hoc p < 0.005, Fig. 2e, left bars).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCP-trained individuals significantly improved in the CP task after training, while DT-trained individuals did not.
“Individuals trained with the CP task significantly improved in the same task after training (Tukey’s HSD post hoc p < 0.05), Fig. 2d, left bars), whereas those trained with the DT task did not (Tukey’s HSD post hoc p = 0.14, Fig. 2e, right bars).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe sCP group significantly improved in both the 2D CP and 2D DT tasks after training.
“Similar to the CP group, the sCP group significantly improved in both the 2D CP (Tukey’s HSD post hoc p < 0.05, Fig. 4a, right bars) and 2D DT tasks (Tukey’s HSD post hoc p < 0.05, Fig. 4b, right bars) after training.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenVery few tracking correlation values were negative for both the original and physically constrained CP task.
“Furthermore, very few tracking correlation values were negative for both the original and physically constrained CP task.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenNot all sessions contained both distinct vertical and horizontal eye activity components meeting criteria.
“Not all sessions contained both distinct components meeting these criteria.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenSixty-eight healthy humans participated after giving written consent to an IRB-approved protocol.
“68 healthy humans were informed and participated in different phases of this study after providing written consent to a protocol approved by the relevant Institutional Review Board at the University of Minnesota or Carnegie Mellon University.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Interpretationown dataThe larger blink reduction during CP suggests that CP elicited heightened user engagement during active control.
“suggests that the CP task elicited heightened user engagement during active control”
Quote in the paperSubstantial claim- Rests on an assumption: Engaging users and maintaining attention through stimulating task paradigms may reduce differences in internal motivation.
May combine two claims.
Interpretationown dataThe oscillatory tracking actions demonstrate directed cursor trajectories toward the target and show the system's ability to capture users' dynamic mental intent.
“While these actions demonstrate directed cursor trajectories towards the target and highlight the ability of our system to accurately capture the users’ dynamic mental intent”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe physiological difference between naïve and experienced users aligns with their performance difference and supports the contrast in BCI proficiency and the skill-dependent effect of source-based control.
“This physiological difference between naïve and experienced users is in line with their performance difference (MSE) and further supports the contrast in BCI proficiency among the two groups and the overarching effect of source-based control depending on user skill level.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningIncreased task-specific source modulation indicates higher sensitivity for detecting changes in motor-related mental state and is likely due to ESI principles and counteracting volume conduction.
“The increased task-specific source modulation indicates a higher sensitivity for detecting changes in a user’s motor-related mental state and is likely a product of the principles of ESI and its use in modeling and counteracting volume conduction.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationNaïve participants with PVC above 80% for both runs of any DT dimension were excluded from the training cohort as proficient.
“Naïve participants obtaining percent valid correct (PVC) values of >80% for both runs of any of the three DT dimensions were excluded from the training cohort as these users are often considered proficient (n=5/38) (14, 28).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [14] Chaudhary U, Birbaumer N, Ramos-Murguialday A, Brain–computer interfaces for communication and rehabilitation. Nat. Rev. Neurol 12, 513– 525 (2016). 27539560 source
Not checked in the free run.
- cites [28] LaFleur K, Quadcopter control in three-dimensional space using a noninvasive motor imagery-based brain–computer interface. J. Neural Eng. 10, 46003 (2013). PMC3839680 23735712 source
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Probably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataThe similarity between virtual cursor and robotic arm control suggests that virtual cursor exposure could be integrated into future clinical training paradigms.
“Overall, the striking similarity between virtual cursor control and robotic arm control highlights the possibility of integrating virtual cursor exposure into future clinical training paradigms where patients have limited access to robotic arm training time.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA user's motivation and cognitive arousal have significant roles in BCI skill acquisition and task performance.
“it is generally thought that a user’s motivation and cognitive arousal play significant roles in the process of skill acquisition and eventual task performance (15, 16).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [15] Lotze M, Braun C, Birbaumer N, Anders S, Cohen LG, Motor learning elicited by voluntary drive. Brain. 126, 866– 872 (2003). 12615644 source
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- cites [16] Musallam S, Corneil BD, Greger B, Scherberger H, Andersen RA, Cognitive control signals for neural prosthetics. Science (80-.). 305, 258– 62 (2004). 15247483 source
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Classified as probably not a substantial claim.
PremisecitationESI uses the electrical properties and geometry of the head to reduce volume conduction and estimate cortical activity.
“Electrical source imaging (ESI) is one such approach that uses the electrical properties and geometry of the head to mitigate the effects of volume conduction and estimate cortical activity (26).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] He B, Sohrabpour A, Brown E, Liu Z, Electrophysiological Source Imaging: A Noninvasive Window to Brain Dynamics. Annu. Rev. Biomed. Eng 20, 171– 196 (2018). 29494213 PMC7941524 source
Not checked in the free run.
May combine two claims.
InterpretationreasoningIncreased blinking at evaluation supports skill acquisition because improved performance required less attention.
“Increased blink activity at the evaluation supports user skill acquisition, as less attention was required for improved performance.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe baseline reduction in blinking suggests heightened attention, probably caused by the novelty of BCI.
“suggesting heightened attention that was likely due to the novelty of BCI in general.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe work is necessary for current EEG-based BCI paradigms to achieve useful and effective noninvasive robotic device control.
“Therefore, in all, the work presented in this paper is necessary for current EEG-based BCI paradigms to achieve useful and effective noninvasive robotic device control and its results are pertinent in directing both ongoing and future studies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenParticipants were split into three training groups balanced by 1D LR DT performance.
“Participants were divided into three training groups using the 1D LR DT performance as the balancing metric (Fig. S3a, Fig. S5a).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll behavioral and electrophysiological metrics were first tested with Shapiro-Wilk for normality of residuals.
“All behavioral and electrophysiological metrics were first evaluated with the Shapiro-Wilk test to test for the normality of the residuals of a standard ANOVA.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisereasoningThe choice to use ρ2 was based on user control; negative correlations indicate high quality inverted control, and simple weight inversion can lead to high tracking performance.
“The choice to use ρ2 (squared tracking correlation) was based on the concept of user control; signed values of ρ much less than 0 are superior to small positive values (e.g. −1 vs +0.01) as they suggest high quality control that is inverted, and that the simple inversion of weights can lead to high tracking performance.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataSix of nineteen recruited participants passed the screening criteria.
“Six of nineteen recruited participants passed these criteria.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataParticipants for the robotic arm phase were excluded by a two-stage performance evaluation.
“Participants were excluded based on a two-stage performance evaluation: (1) failure to achieve >70% 1D PVC (sessions 1–2) or >40% 2D PVC (session 2) in two sequential runs, and (2) failure to achieve >90% 1D PVC and >70% 2D PVC (sessions 3–5) in two sequential runs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenArtifactual trials for DT and CP runs were identified during online control or offline visual inspection and removed.
“Artifactual trials for both DT and CP runs were identified during online BCI control or by offline visual inspection of the EEG and removed from subsequent analysis.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenIn each BCI session, the decoding strategy (sensor or source) was randomized and balanced across the population.
“In each BCI session, participants completed 12 runs of CP BCI (4 × 1D LR, 4 × 1D UD, and 4 × 2D) with the decoding strategy (sensor or source) being randomized and balanced across the population.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationParcellation improves the condition of the EEG inverse problem and reduces computation time, making it attractive for real-time applications.
“Parcellation is particularly attractive for real-time applications as it improves the condition of the EEG inverse problem and reduces computation time (48).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [48] Mattout J, Pélégrini-Issac M, Garnero L, Benali H, Multivariate source prelocalization (MSP): Use of functionally informed basis functions for better conditioning the MEG inverse problem. Neuroimage. 26, 356– 73 (2005). 15907296 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningChance performance in the DT paradigm is validly estimated by dividing 100% by the number of targets because timed-out trials are typically excluded.
“Chance performance in the DT paradigm was determined by dividing 100% by the number of targets in each control dimension. This is valid as trials which time out are typically excluded when calculating performance for the DT task.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe Source vs. Sensor phase had no exclusion criteria because participants were in well-defined naïve or experienced states.
“There were no exclusion criteria in this phase of the study as participants were in well-defined naïve or experienced states.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenNon-stationary high variance signals were removed from raw EEG using the ASR EEGlab plugin.
“Non-stationary high variance signals were initially removed from the raw EEG using the artifact subspace reconstruction (ASR) EEGlab plugin.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenMultiple comparisons were corrected with Tukey's HSD for fewer than 10 comparisons and false discovery rate for more than 10 comparisons.
“If less than 10 multiple comparisons were made, a Tukey’s HSD test was used to correct for multiple comparisons, and if greater than 10 comparisons, false discovery rate correction (p < 0.05) was employed.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningExperienced users attended up to three BCI sessions and naïve users one session to avoid confounding from learning.
“Experienced users participated in up to three BCI sessions and the naïve users in a single session to avoid the confounding effects of learning.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenMann-Whitney U with Bonferroni correction was used for comparing ρ2 of neural control with noise in constrained CP and feature spread in source and sensor domains.
“A Mann-Whitney U test with Bonferroni correction for multiple comparisons was used for specific cases: comparing squared tracking correlation values (ρ2) of neural control with noise in the constrained CP task and comparing the feature spread in the source and sensor domains in naïve and experienced users.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenBaseline and evaluation sessions all used sensor control for consistency across groups.
“Baseline and evaluation sessions were all completed using sensor control for consistency across groups.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenEach user completed five source CP BCI sessions with 12 runs of virtual cursor and robotic arm control in block-randomized order across users.
“Each user participated in five source CP BCI sessions containing 12 runs (60s) (session 1–2: 6 × 1D LR, 6 × 1D UD; session 3–5: 3 × 1D LR, 3 × 1D UD, 6 × 2D) of both virtual cursor and robotic arm control in block-randomized order across users.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Invasive BCIs require substantial medical and surgical expertise, which limits their use beyond a few clinical cases.
“However, the substantial amount of medical and surgical expertise required to correctly implant and operate these systems significantly limits their use beyond a few clinical cases.”
The paper relies on this without support.
Engaging users and maintaining attention through stimulating task paradigms may reduce differences in internal motivation.
“Although levels of internal motivation vary across populations and time (17), engaging users and maintaining attention via stimulating task paradigms may diminish these differences.”
The paper relies on this without support.
ESI approaches had not been validated online before this work.
“however, these approaches have yet to be validated online.”
The paper relies on this without support.
Motor imagination without feedback can provide a measure of a user's natural ability to produce discriminative EEG patterns.
“While BCI feedback plays a significant role in facilitating sensorimotor rhythm modulation (33), MI without feedback can provide a measure of a user’s natural ability to produce the associated discriminative EEG patterns.”
The paper relies on this without support.
CP cursor control requires highly dynamic cognitive processes to recognize and correct for random and sudden changes in the target's trajectory.
“CP cursor control requires highly dynamic cognitive processes to recognize and correct for the random and sudden changes in the target’s trajectory during tracking.”
The paper relies on this without support.
The physical robotic device inherently creates a more distracting environment for neural control than a virtual cursor.
“The presence of the physical robotic device inherently creates a more distracting environment for neural control compared to that of a virtual cursor.”
The paper relies on this without support.
Current BCI task paradigms do not account for the random perturbations that occur in daily life.
“While these tasks provide robust testbeds for novel decoding algorithms, they do not account for the random perturbations that invariably occur in daily life.”
The paper relies on this without support.
Invasive systems have already achieved a level of control similar to the noninvasive hypothetical.
“It should be noted that invasive systems have already demonstrated a level of control similar to such a noninvasive hypothetical”
The paper relies on this without support.
Most impaired persons will likely not qualify for invasive systems because of medical and financial limitations.
“while such invasive approaches may offer much-needed help to a restricted number of patients with severe physical dysfunctions, the majority of impaired persons will likely not qualify for participation due to both medical and financial limitations.”
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?
Common wearable techniques include EEG, sEMG, and EOG, which capture electrical activity of the brain, muscles, and eye movements respectively.
“Common wearable techniques include electroencephalography (EEG),[281,282] surface electromyography (sEMG),[283,284] and electrooculography (EOG),[285] which capture the electrical activity of the brain, muscles, and eye movements respectively.”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [281]
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- ConsistentF(1, 20) = 7.39reported p < .05 · recomputed p = .013
“F(1,20)=7.39, p < .05”
- ConsistentF(1, 20) = 19.8reported p < .005 · recomputed p < .001
“F(1,20)=19.80, p < .005”
- ConsistentF(1, 63) = 9.84reported p < .005 · recomputed p = .003
“F(1,63) = 9.84, p < .005”
- ConsistentF(1, 63) = 3.51reported p = .066 · recomputed p = .066
“F(1,63) = 3.51, p = .066”
- ConsistentF(1, 20) = 4.7reported p < .05 · recomputed p = .042
“F(1,20)=4.70, p < .05”
- ConsistentF(1, 20) = 21.01reported p < .005 · recomputed p < .001
“F(1,20)=21.01, p < .005”
- ConsistentF(1, 69) = 9.83reported p < .01 · recomputed p = .003
“F(1,69) = 9.83, p < .01”
- ConsistentF(1, 69) = 20.96reported p < .005 · recomputed p < .001
“F(1,69) = 20.96, p < .005”
- ConsistentF(1, 12) = 3.02reported p = .11 · recomputed p = .108
“F(1,12) = 3.02, p = .11”
- ConsistentF(1, 12) = 2.02reported p = .18 · recomputed p = .181
“F(1,12) = 2.02, p = .18”
- ConsistentF(2, 40) = 2.62reported p = .086 · recomputed p = .085
“F(2,40) = 2.62, p = .086”
- ConsistentF(2, 40) = 0.13reported p = .88 · recomputed p = .878
“F(2,40) = 0.13, p = .88”
- ConsistentF(2, 40) = 0.77reported p = .47 · recomputed p = .470
“F(2,40) = 0.77, p = .47”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Mean squared error is defined two different ways
MinorThe Results define MSE as an average of squared errors. The Methods instead say it averages an error time series whose values are defined as Euclidean distances, without squaring them.
“The mean squared error value was computed as the average of the error time series between these same two position vectors.”
“The corresponding CP task performance metric was mean squared error (MSE), i.e. the average normalized squared error between the target and cursor location over the course of a single run.”
The citation lists haven’t been fetched yet
References 51 · Cited by 380
- Authors
- Edelman, B. J., Meng, J., Suma, D., Zurn, C., Nagarajan, E., Baxter, B. S., Cline, C. C., & He, B.
- Affiliations
- University of Minnesota (US)
- Carnegie Mellon University (US)
- Corresponding author
- Meng, J.
- Suma, D.
- He, B.
- Venue
- Science Robotics
- Published
- 2019-06-26
- Volume
- 4
- Issue
- 31
- ISSN
- 2470-9476 (ISSN-L)
- PMC
- PMC6814169
- OpenAlex
- W2949263306
- Cited by
- 380
- References
- 51
- Citations by year
- 2026: 25 · 2025: 50 · 2024: 58 · 2023: 54 · 2022: 62 · 2021: 80 · 2020: 44 · 2019: 6 · 2018: 1
- FWCI
- 27.90
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Science Robotics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation (CBET-1264782)
- National Institutes of Health (AT009263, MH114233, EB021027, NS096761, F31NS096964)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Keywords
- brain-computer interface, non-invasive brain imaging, EEG, robotic arm control, EEG source localization, neural decoding, neurorobotics
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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-04.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-04.
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.
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