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Clin. Transl. Neurosci., Volume 5, Issue 3 (December 2021) – 4 articles

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7 pages, 237 KiB  
Review
Technology-Based Neurorehabilitation in Parkinson’s Disease—A Narrative Review
by Jens Carsten Möller, Daniel Zutter and Robert Riener
Clin. Transl. Neurosci. 2021, 5(3), 23; https://doi.org/10.3390/ctn5030023 - 29 Nov 2021
Cited by 3 | Viewed by 3281
Abstract
This narrative review provides a brief overview of the current literature on technology-based interventions for the neurorehabilitation of persons with Parkinson’s disease (PD). The role of brain–computer interfaces, exergaming/virtual-reality-based exercises, robot-assisted therapies and wearables is discussed. It is expected that technology-based neurorehabilitation will [...] Read more.
This narrative review provides a brief overview of the current literature on technology-based interventions for the neurorehabilitation of persons with Parkinson’s disease (PD). The role of brain–computer interfaces, exergaming/virtual-reality-based exercises, robot-assisted therapies and wearables is discussed. It is expected that technology-based neurorehabilitation will gain importance in the management of PD patients, although it is often not clear yet whether this approach is superior to conventional therapies. High-intensity technology-based neurorehabilitation may hold promise with respect to neuroprotective or neurorestorative actions in PD. Overall, more research is required in order to obtain more data on the feasibility, efficacy and safety of technology-based neurorehabilitation in persons with PD. Full article
57 pages, 596 KiB  
Conference Report
Abstracts of the 113th Annual Meeting of the Swiss Neurological Society, Congress Centre Kursaal Interlaken, Switzerland, November 18–19, 2021
by Hans Jung and Urs Fischer
Clin. Transl. Neurosci. 2021, 5(3), 22; https://doi.org/10.3390/ctn5030022 - 15 Nov 2021
Cited by 3 | Viewed by 3324
Abstract
On behalf of Swiss Neurological Society together with the Swiss Society for Behavioral Neurology, we are pleased to present the Abstracts of the 113th Annual Meeting, which was held from 18–19 November 2021. Fifteen (15) abstracts were selected for oral presentations and sixty-one [...] Read more.
On behalf of Swiss Neurological Society together with the Swiss Society for Behavioral Neurology, we are pleased to present the Abstracts of the 113th Annual Meeting, which was held from 18–19 November 2021. Fifteen (15) abstracts were selected for oral presentations and sixty-one (61) abstracts were selected as poster presentations. We congratulate all the presenters on their research work and contribution. Full article
13 pages, 2875 KiB  
Article
Prediction of Tissue Damage Using a User-Independent Machine Learning Algorithm vs. Tmax Threshold Maps
by Arsany Hakim, Benjamin Messerli, Raphael Meier, Tomas Dobrocky, Sebastian Bellwald, Simon Jung, Richard McKinley and Roland Wiest
Clin. Transl. Neurosci. 2021, 5(3), 21; https://doi.org/10.3390/ctn5030021 - 12 Nov 2021
Viewed by 2558
Abstract
(1) Background: To test the accuracy of a fully automated stroke tissue estimation algorithm (FASTER) to predict final lesion volumes in an independent dataset in patients with acute stroke; (2) Methods: Tissue-at-risk prediction was performed in 31 stroke patients presenting with a proximal [...] Read more.
(1) Background: To test the accuracy of a fully automated stroke tissue estimation algorithm (FASTER) to predict final lesion volumes in an independent dataset in patients with acute stroke; (2) Methods: Tissue-at-risk prediction was performed in 31 stroke patients presenting with a proximal middle cerebral artery occlusion. FDA-cleared perfusion software using the AHA recommendation for the Tmax threshold delay was tested against a prediction algorithm trained on an independent perfusion software using artificial intelligence (FASTER). Following our endovascular strategy to consequently achieve TICI 3 outcome, we compared patients with complete reperfusion (TICI 3) vs. no reperfusion (TICI 0) after mechanical thrombectomy. Final infarct volume was determined on a routine follow-up MRI or CT at 90 days after the stroke; (3) Results: Compared to the reference standard (infarct volume after 90 days), the decision forest algorithm overestimated the final infarct volume in patients without reperfusion. Underestimation was observed if patients were completely reperfused. In cases where the FDA-cleared segmentation was not interpretable due to improper definitions of the arterial input function, the decision forest provided reliable results; (4) Conclusions: The prediction accuracy of automated tissue estimation depends on (i) success of reperfusion, (ii) infarct size, and (iii) software-related factors introduced by the training sample. A principal advantage of machine learning algorithms is their improved robustness to artifacts in comparison to solely threshold-based model-dependent software. Validation on independent datasets remains a crucial condition for clinical implementations of decision support systems in stroke imaging. Full article
(This article belongs to the Section Neuroimaging)
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4 pages, 212 KiB  
Case Report
An Unusual Case of Polyautoimmunity with Concomitant Presentation of Postural Tachycardia Syndrome, Antiphospholipid Syndrome and Hashimoto’s Thyroiditis
by Ellen Edwards, Werner Z’Graggen and Claudio Bassetti
Clin. Transl. Neurosci. 2021, 5(3), 20; https://doi.org/10.3390/ctn5030020 - 29 Oct 2021
Cited by 1 | Viewed by 2638
Abstract
Introduction: Postural tachycardia syndrome (POTS) is a chronic form of autonomic dysfunction characterized by symptoms of orthostatic intolerance, often accompanied by sudomotor dysfunction and gastrointestinal dysmotility. In a subgroup of patients with POTS, autoantibodies against adrenergic or cholinergic receptors suggest an immune-mediated etiology. [...] Read more.
Introduction: Postural tachycardia syndrome (POTS) is a chronic form of autonomic dysfunction characterized by symptoms of orthostatic intolerance, often accompanied by sudomotor dysfunction and gastrointestinal dysmotility. In a subgroup of patients with POTS, autoantibodies against adrenergic or cholinergic receptors suggest an immune-mediated etiology. Antiphospholipid syndrome (APS) is a hypercoagulative autoimmune disorder associated with anti-phospholipid-antibodies that causes arterial and venous thromboses. Concurrent occurrence of APS and immune-mediated POTS is rare. Methods and Results: Here, we report a 28-year-old female that experiences symptoms of orthostatic intolerance, vasovagal syncopes, gastrointestinal dysmotility and sudomotor dysfunction. She fulfills the formal diagnostic criteria of POTS showing a heart rate increment of ≥30 beats per minute (bpm) within 10 m of head-up tilt in the absence of orthostatic hypotension, accompanied by symptoms of orthostatic intolerance. The thermoregulatory sweat test reveals severe patchy anhidrotic areas. Gastric emptying scintigraphy shows an impaired gastrointestinal motility. Plasma norepinephrine levels and a skin biopsy appear normal. Finally, serological persistence of anti-alpha-1-adrenergic autoantibodies suggest an immune-mediated pathogenesis. Several years after initial presentation of POTS symptoms, the patient develops APS with recurrent venous emboli and persistent anti-phospholipid-antibodies. Recently the patient is diagnosed with Hashimoto’s thyroiditis (HT) expressing high levels of thyroid-stimulating hormone and high titers of anti-thyroid antibodies. Conclusion: To our knowledge, this is the first report of consecutive immune-mediated POTS, APS and HT in a young woman, possibly displaying a unique combination of three disorders of autoimmune etiology. Full article
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