Quantitative Assessment of Cerebella Ataxia, through Automated Limb-Coordination tests

Krishna, Ragil; Pathirana, Pubudu N.; Horne, Marj; Power, Laura; Szmulewicz, David J.

doi:10.1109/embc.2019.8856694

Cited by 4 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One approach developed by AGI partners is ataxia capture by body-worn sensors. [23][24][25] Further improvement can be achieved by shifting the assessment into real life, either by repeated video capture (SARA home ) or bodyworn sensors, which has shown to dramatically reduce calculated sample sizes. 21,25,26 Standard clinical ataxia scales such as the SARA need to show that they capture not just neurological proxies of ataxia functions, but indeed reflect meaningful benefit of patients' lives.…”

Section: Clinical Outcome Parameters: Sensitivity To Change and Patie...mentioning

confidence: 99%

“…Nevertheless, there is an obvious need to follow new strategies to improve clinical assessment that go beyond application of clinical scales in the hospital. One approach developed by AGI partners is ataxia capture by body‐worn sensors 23‐25 . Further improvement can be achieved by shifting the assessment into real life, either by repeated video capture (SARA home ) or body‐worn sensors, which has shown to dramatically reduce calculated sample sizes 21,25,26 …”

Section: Clinical Outcome Parameters: Sensitivity To Change and Patie...mentioning

confidence: 99%

See 1 more Smart Citation

Paving the Way Toward Meaningful Trials in Ataxias: An Ataxia Global Initiative Perspective

et al. 2022

View full text Add to dashboard Cite

Section: Clinical Outcome Parameters: Sensitivity To Change and Patie...mentioning

confidence: 99%

Section: Clinical Outcome Parameters: Sensitivity To Change and Patie...mentioning

confidence: 99%

Paving the Way Toward Meaningful Trials in Ataxias: An Ataxia Global Initiative Perspective

et al. 2022

View full text Add to dashboard Cite

“…Finally, to capture tCS effects on motor performance, we measured arm movements using inertial measurement units (IMUs). In previous studies, kinematic measurements including IMUs or optoelectronic devices have successfully been used to investigate patients with cerebellar dysfunction including those with ataxia and dystonia ( Bologna et al, 2016 ; Krishna et al, 2019 ). Thus, to capture the effects of the different tCS techniques on the excitability/activity of the cerebellum and interconnected pathways we used a comprehensive battery of behavioral and neurophysiological measures.…”

Section: Introductionmentioning

confidence: 99%

Cerebellar transcranial current stimulation – An intraindividual comparison of different techniques

et al. 2022

View full text Add to dashboard Cite

Transcranial current stimulation (tCS) techniques have been shown to induce cortical plasticity. As an important relay in the motor system, the cerebellum is an interesting target for plasticity induction using tCS, aiming to modulate its excitability and connectivity. However, until now it remains unclear, which is the most effective tCS method for inducing plasticity in the cerebellum. Thus, in this study, the effects of anodal transcranial direct current stimulation (tDCS), 50 Hz transcranial alternating current stimulation (50 Hz tACS), and high frequency transcranial random noise stimulation (tRNS) were compared with sham stimulation in 20 healthy subjects in a within-subject design. tCS was applied targeting the cerebellar lobe VIIIA using neuronavigation. We measured corticospinal excitability, short-interval intracortical inhibition (SICI), short-latency afferent inhibition (SAI), and cerebellar brain inhibition (CBI) and performed a sensor-based movement analysis at baseline and three times after the intervention (post1 = 15 min; post2 = 55 min; post3 = 95 min). Corticospinal excitability increased following cerebellar tACS and tRNS compared to sham stimulation. This effect was most pronounced directly after stimulation but lasted for at least 55 min after tACS. Cortico-cortical and cerebello-cortical conditioning protocols, as well as sensor-based movement analyses, did not change. Our findings suggest that cerebellar 50 Hz tACS is the most effective protocol to change corticospinal excitability.

show abstract

“…We chose the number of sensors and their placement to maximize ease of use, which is appealing when considering potential deployment in clinical trials. Previous groups have utilized similarly limited sensor numbers (typically placed on the wrists and ankles ± chest/waist) in an effort to streamline and simplify inertial sensor use for clinical and clinical trial settings 41 , 42 . As sensors were placed only on the wrists and ankles, tasks that were amenable to this paradigm excluded assessment of the fingers, MDS-UPDRS items 3.4 (finger tapping) and 3.5 (hand movements) and also posture (item 3.13).…”

Section: Discussionmentioning

confidence: 99%

Motor assessment of X-linked dystonia parkinsonism via machine-learning-based analysis of wearable sensor data

Parisi,

Corniani,

Bonato

et al. 2024

Sci Rep

View full text Add to dashboard Cite

X-linked dystonia parkinsonism (XDP) is a neurogenetic combined movement disorder involving both parkinsonism and dystonia. Complex, overlapping phenotypes result in difficulties in clinical rating scale assessment. We performed wearable sensor-based analyses in XDP participants to quantitatively characterize disease phenomenology as a potential clinical trial endpoint. Wearable sensor data was collected from 10 symptomatic XDP patients and 3 healthy controls during a standardized examination. Disease severity was assessed with the Unified Parkinson’s Disease Rating Scale Part 3 (MDS-UPDRS) and Burke-Fahn-Marsden dystonia scale (BFM). We collected sensor data during the performance of specific MDS-UPDRS/BFM upper- and lower-limb motor tasks, and derived data features suitable to estimate clinical scores using machine learning (ML). XDP patients were at varying stages of disease and clinical severity. ML-based algorithms estimated MDS-UPDRS scores (parkinsonism) and dystonia-specific data features with a high degree of accuracy. Gait spatio-temporal parameters had high discriminatory power in differentiating XDP patients with different MDS-UPDRS scores from controls, XDP freezing of gait, and dystonic/non-dystonic gait. These analyses suggest the feasibility of using wearable sensor data for deriving reliable clinical score estimates associated with both parkinsonian and dystonic features in a complex, combined movement disorder and the utility of motion sensors in quantifying clinical examination.

show abstract

Quantitative Assessment of Cerebella Ataxia, through Automated Limb-Coordination tests

Cited by 4 publications

References 7 publications

Paving the Way Toward Meaningful Trials in Ataxias: An Ataxia Global Initiative Perspective

Paving the Way Toward Meaningful Trials in Ataxias: An Ataxia Global Initiative Perspective

Cerebellar transcranial current stimulation – An intraindividual comparison of different techniques

Motor assessment of X-linked dystonia parkinsonism via machine-learning-based analysis of wearable sensor data

Contact Info

Product

Resources

About