Discrimination of idiopathic Parkinson’s disease and vascular parkinsonism based on gait time series and the levodopa effect

Fernandes, Carlos M.; Ferreira, Flora; Lopes, Rui L.; Bicho, Estela; Erlhagen, Wolfram; Sousa, Nuno; Gago, Miguel

doi:10.1016/j.jbiomech.2020.110214

Cited by 7 publications

(5 citation statements)

References 35 publications

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“…The research designed by Fernandes et al also shows lower response to levodopa treatment in the VP group in terms of gait disorders. It also adds a useful tool for the differential diagnosis between both entities through the effect of treatment on various gait characteristics assessed by machine learning [ 22 ]. The study by Gago M.F.…”

Section: Discussionmentioning

confidence: 99%

“…It also evidenced the better response to levodopa treatment in terms of gait disturbances in patients with IPD versus VP. However, it should be noted that some patients with VP did benefit in this respect with treatment, albeit to a lesser extent [ 22 ].…”

Section: Discussionmentioning

confidence: 99%

“…Two studies have relied on gait to assess VP response to levodopa. The first of them [ 24 ] is a non-blinded, non-randomized, case-control study adding levodopa response to increase the accuracy of the differential diagnosis between IPD and VP according to gait characteristics and response to treatment, based on a previous study that succeeded in discriminating between IPD, VP and healthy controls by gait assessment thanks to machine learning strategies (accuracy for distinguish IPD and VP was 50–63.3%) [ 22 , 24 , 25 ]. 14 VP and 15 IPD were included, excluding patients with resting tremors, dementia CDR > 2, musculoskeletal disease and an HY stage.…”

Section: Treatmentsmentioning

confidence: 99%

“…* Pubmed, Scopus and Web of Science electronic databases. ** Studies excluded for the following reasons: publications that evaluated different pathologies, no evaluation of response to treatment, systematic reviews, studies in languages other than Spanish or English, experimental studies with animals [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ].…”

Section: Figurementioning

confidence: 99%

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Treatment of Vascular Parkinsonism: A Systematic Review

2023

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Background and aims: Although the distinction between vascular parkinsonism (VP) and idiopathic Parkinson’s disease (IPD) is widely described, it is not uncommon to find parkinsonisms with overlapping clinical and neuroimaging features even in response to levodopa treatment. In addition, several treatments have been described as possible adjuvants in VP. This study aims to update and analyze the different treatments and their efficacy in VP. Methods: A literature search was performed in PubMed, Scopus and Web of Science for studies published in the last 15 years until April 2022. A systematic review was performed. No meta-analysis was performed as no new studies on response to levodopa in VP were found since the last systematic review and meta-analysis in 2017, and insufficient studies on other treatments were located to conduct it in another treatment subgroup. Results: Databases and other sources yielded 59 publications after eliminating duplicates, and a total of 12 original studies were finally included in the systematic review. The treatments evaluated included levodopa, vitamin D, repetitive transcranial magnetic stimulation (rTMS) and intracerebral transcatheter laser photobiomodulation therapy (PBMT). The response to levodopa was lower in patients with VP with respect to IPD. Despite this, there has been described a subgroup of patients with good response, it being possible to identify them by means of neuroimaging techniques and the olfactory identification test. Other therapies showed encouraging results in studies with some risk of bias. Conclusions: The response of VP to different therapeutic strategies is modest. However, there is evidence that a subgroup of patients can be identified as more responsive to L-dopa based on clinical and neuroimaging criteria. This subgroup should be treated with L-dopa at appropriate doses. New therapies such as vitamin D, rTMS and PBMT warrant further studies to demonstrate their efficacy.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Treatmentsmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

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Treatment of Vascular Parkinsonism: A Systematic Review

2023

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“…In the classification test of the two patient groups (VaP and IPD), the DBN classifier performed better (73.00% with MoCA) than the MoCA classifier. In 2021, a new approach for gait pattern differentiation that used CNNs based on gait time series with and without the influence of levodopa medication was proposed [93]. The gait data of VaP patients, IPD patients, and healthy people were collected using sensors worn on both feet.…”

Section: B DL For Non-conventional Pd-related Diagnostic Targetsmentioning

confidence: 99%

Multi-Modal Deep Learning Diagnosis of Parkinson’s Disease—A Systematic Review

Skaramagkas

Pentari

Kefalopoulou

et al. 2023

IEEE Trans. Neural Syst. Rehabil. Eng.

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Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches that employ artificial intelligence and notably deep learning, have been extensively embraced with promising outcomes. This study dispenses an exhaustive review between 2016 and January 2023 on deep learning techniques used in the prognosis and evolution of symptoms and characteristics of the disease based on gait, upper limb movement, speech and facial expression-related information as well as the fusion of more than one of the aforementioned modalities. The search resulted in the selection of 87 original research publications, of which we have summarized the relevant information regarding the utilized learning and development process, demographic information, primary outcomes, and sensory equipment related information. Various deep learning algorithms and frameworks have attained state-of-theart performance in many PD-related tasks by outperforming conventional machine learning approaches, according to the research reviewed. In the meanwhile, we identify significant drawbacks in the existing research, including a lack of data availability and interpretability of models. The fast advancements in deep learning and the rise in accessible data provide the opportunity to address these difficulties in the near future and for the broad application of this technology in clinical settings.

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Wearable systems in movement disorders

Bianchini¹,

Maetzler²

2023

International Review of Movement Disorders

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Discrimination of idiopathic Parkinson’s disease and vascular parkinsonism based on gait time series and the levodopa effect

Cited by 7 publications

References 35 publications

Treatment of Vascular Parkinsonism: A Systematic Review

Treatment of Vascular Parkinsonism: A Systematic Review

Multi-Modal Deep Learning Diagnosis of Parkinson’s Disease—A Systematic Review

Wearable systems in movement disorders

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