Algorithmic Virtual Reality Reduces Parkinsonian Tremor
medRxiv (Cold Spring Harbor Laboratory)(2023)
Abstract
Parkinson’s disease (PD) is one of the most prevalent neurodegenerative disorders, affecting approximately 6-7 million patients worldwide. Involuntary hand tremor (IHT), one of the cardinal motor symptoms of PD, is extremely debilitating to patients reducing their quality of life. In this study, we combined neuroscience together with the nascent field of medical virtual reality (VR). Our goals were to 1) generate technology to enable PD patients to leapfrog the real life difficulties of living with IHT by entering VR metaverse worlds in which they are tremor-free and can function at new heights, 2) to determine whether lack of tremors in VR modifies central biofeedback mechanisms to non-invasively reduce tremors in real life. We thus generated algorithms that adjusted the moving average centroid of digital hands to stabilize tremors in VR. We implemented these algorithms in the Oculus Rift VR system and enrolled nine subjects with PD in a trial that yielded several important observations. First, we established the Oculus Rift as a potent measurement device for IHT. Secondly, we determined parkinsonian tremors can be abolished in VR with algorithms that removed up to 99% of tremors from PD subjects’ digital hands (76% average reduction). These data suggest PD subjects can enter VR and be asymptomatic of PD IHT. To test whether our algorithms have measurable practical utility, we created a VR painting application, FingerPaint, and tested it against TiltBrush the leading VR painting application. We empirically demonstrate that complex freeform art created in FingerPaint had up to 51% reduction in tremor-associated parkinsonian drawing irregularities (24% average reduction). Lastly, we generated a technical framework wherein movements in the real-world can be measured side-by-side with those in VR. With this framework, we observed real life parkinsonian tremors were significantly reduced by up to 87% in real life when our algorithms abolished digital hand tremors in VR (35% average reduction). This reduction was observed in 78% of subjects and was progressive as subjects had increasingly reduced real life tremors the longer they were in VR.
### Competing Interest Statement
NeuroStorm, a technology company offering solutions for neurological disorders, has A.G, S.R, D.C and E.G.N. as shareholders.
### Clinical Trial
NCT05666674
### Funding Statement
This study was funded by NeuroStorm Studios, Inc.
### Author Declarations
I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
Yes
The details of the IRB/oversight body that provided approval or exemption for the research described are given below:
Institutional Review Board (IRB) of Advarra, Inc waived ethical approval for this work.
I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.
Yes
I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).
Yes
I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.
Yes
All data produced in the present study are available upon reasonable request to the authors.
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Key words
parkinsonian tremor,virtual
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