47 research outputs found

    Markerless Analysis of Articulatory Movements in Patients With Parkinson's Disease

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    Objectives: A large percentage of patients with Parkinson's disease have hypokinetic dysarthria, exhibiting reduced peak velocities of jaw and lips during speech. This limitation implies a reduction of speech intelligibility for such patients. This work aims at testing a cost-effective markerless approach for assessing kinematic parameters of hypokinetic dysarthria. Study design: Kinematic parameters of the lips are calculated during a syllable repetition task from 14 Parkinsonian patients and 14 age-matched control subjects. Methods: Combining color and depth frames provided by a depth sensor (Microsoft Kinect), we computed the three-dimensional coordinates of main facial points. The peak velocities and accelerations of the lower lip during a syllable repetition task are considered to compare the two groups. Results: Results show that Parkinsonian patients exhibit reduced peak velocities of the lower lip, both during the opening and the closing phase of the mouth. In addition, peak values of acceleration are reduced in Parkinsonian patients, although with significant differences only in the opening phase with respect to healthy control subjects. Conclusions: The novel contribution of this work is the implementation of an entirely markerless technique capable to detect signs of hypokinetic dysarthria for the analysis of articulatory movements during speech. Although a large number of Parkinsonian patients have hypokinetic dysarthria, only a small percentage of them undergoes speech therapy to increase their articulatory movements. The system proposed here could be easily implemented in a home environment, thus, increasing the percentage of patients who can perform speech rehabilitation at home

    CT radiomics-based machine learning classification of atypical cartilaginous tumours and appendicular chondrosarcomas

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    Background Clinical management ranges from surveillance or curettage to wide resection for atypical to higher-grade cartilaginous tumours, respectively. Our aim was to investigate the performance of computed tomography (CT) radiomics-based machine learning for classification of atypical cartilaginous tumours and higher-grade chondrosarcomas of long bones. Methods One-hundred-twenty patients with histology-proven lesions were retrospectively included. The training cohort consisted of 84 CT scans from centre 1 (n=55 G1 or atypical cartilaginous tumours; n=29 G2-G4 chondrosarcomas). The external test cohort consisted of the CT component of 36 positron emission tomography-CT scans from centre 2 (n=16 G1 or atypical cartilaginous tumours; n=20 G2-G4 chondrosarcomas). Bidimensional segmentation was performed on preoperative CT. Radiomic features were extracted. After dimensionality reduction and class balancing in centre 1, the performance of a machine-learning classifier (LogitBoost) was assessed on the training cohort using 10-fold cross-validation and on the external test cohort. In centre 2, its performance was compared with preoperative biopsy and an experienced radiologist using McNemar's test. Findings The classifier had 81% (AUC=0.89) and 75% (AUC=0.78) accuracy in identifying the lesions in the training and external test cohorts, respectively. Specifically, its accuracy in classifying atypical cartilaginous tumours and higher-grade chondrosarcomas was 84% and 78% in the training cohort, and 81% and 70% in the external test cohort, respectively. Preoperative biopsy had 64% (AUC=0.66) accuracy (p=0.29). The radiologist had 81% accuracy (p=0.75). Interpretation Machine learning showed good accuracy in classifying atypical and higher-grade cartilaginous tumours of long bones based on preoperative CT radiomic features

    Drug treatments in patients with cardiac diseases and epilepsy

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    Comorbidity between epilepsy and heart diseases is frequent. All drugs classified within the group of drugs for cardiovascular system according to the Anatomical Therapeutic Chemical (ATC) classification system were reviewed for their effects on seizures or epilepsy. Several agents showed anti-seizure properties in animal models of seizures and/or in patients with epilepsy and only few were pro-convulsant. Drugs with anticonvulsant effects include mecamylamine and guanfacine (antihypertensive drugs), indapamide, amiloride, furosemide and bumetanide (diuretics), fasudil (peripheral vasodilator), bioflavonoids (vasoprotective drug), propranolol (beta blocking agent), isradipine, nimodipine, verapamil and diltiazem (calcium channel blockers: CCBs), fosinopril and zofenopril (agents acting on the renin-angiotensin system), several statins and fenofibrate (lipid modifying agents). Drugs with proconvulsant properties in experimental models or in patients include reserpine, buflomedil, naftidrofuryl, and clonidine and propranolol at high doses. Drug-drug interactions (DDI) between antiseizure medications (ASMs) and drugs for cardiovascular system were also searched in two leading publicly accessible drug compendia. The most important DDIs occur between enzyme inducing (EI)-ASMs and ivabradine, ranolazine, macitenan and between EI-ASMs and the CCBs felodipine, nicardipine, nisoldipine and verapamil. Simvastatin and atorvastatin are the lipid modifying agents with more DDIs with EI-ASMs. Several pharmacodynamic interactions have been also documented. Available data show that the treatment of patients with epilepsy and vascular comorbidities is challenging and requires the appropriate knowledge of pharmacological properties of drugs and drug interactions

    Neurophysiological Correlates of Central Fatigue in Healthy Subjects and Multiple Sclerosis Patients before and after Treatment with Amantadine

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    In ten healthy subjects and in ten patients suffering from Multiple Sclerosis (MS), we investigated the cortical functional changes induced by a standard fatiguing repetitive tapping task. The Cortical Silent Period (CSP), an intracortical, mainly GABAB-mediated inhibitory phenomenon, was recorded by two different hand muscles, one acting as prime mover of the fatiguing index-thumb tapping task (First Dorsal Interosseous, FDI) and the other one not involved in the task but sharing largely overlapping central, spinal, and peripheral innervation (Abductor Digiti Minimi, ADM). At baseline, the CSP was shorter in patients than in controls. As fatigue developed, CSP changes involved both the “fatigued” FDI and the “unfatigued” ADM muscles, suggesting a cortical spread of central fatigue mechanisms. Chronic therapy with amantadine annulled differences in CSP duration between controls and patients, possibly through restoration of more physiological levels of intracortical inhibition in the motor cortex. These inhibitory changes correlated with the improvement of fatigue scales. The CSP may represent a suitable marker of neurophysiological mechanisms accounting for central fatigue generation either in controls or in MS patients, involving corticospinal neural pools supplying not only the fatigued muscle but also adjacent muscles sharing an overlapping cortical representation

    Clinical neurophysiology of prolonged disorders of consciousness: From diagnostic stimulation to therapeutic neuromodulation

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    The identification of signs of awareness in patients with prolonged disorders of consciousness (DoC) after severe brain injury is a challenging task for clinicians. Differentiating on behavioural examination the vegetative state (VS) from the minimally conscious state (MCS) can lead to a high misdiagnosis rate. Advanced neuroimaging and neurophysiological techniques can supplement clinical evaluation by providing physiological evidence of brain activity. However, an open issue remains whether these empirical results are directly or indirectly associated with covert consciousness and limitations emerge for their diagnostic application at the single-patient level. On the therapeutic side, the efficacy of both non-invasive and invasive brain stimulation/modulation trials is matter of debate. The present review provides an updated analysis of the diagnostic and prognostic impact that the different neurophysiological techniques of stimulation [including short-latency evoked potentials, long-latency event related potentials (ERPs), transcranial magnetic stimulation (TMS), TMS-EEG co-registration] offer in prolonged DoC. The results of the therapeutic stimulation techniques are also evaluated. It is concluded that TMS-EEG emerges as the most promising tool for differentiating VS from MCS whereas ERPs allow neurophysiologists to probe covert cognitive capacities of each patient. Significant behavioural improvements in prolonged DoC with brain stimulation techniques are still anecdotical and further treatment options are awaited

    Mirror movements in patients with Parkinson's disease

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    Mirror movements (MM) refer to ipsilateral involuntary movements that appear during voluntary activity in contralateral homologous body regions. This study aimed to compare the frequency and distribution of MM in an unselected sample of 274 patients with Parkinson's disease (PD) and 160 healthy subjects, and to check a possible relationship between MM and parkinsonian features. MM of the hand were scored according to the Woods and Teuber scale. The frequency of MM was lower in PD patients than in healthy subjects (29% vs. 71%, P < 0.0001). The distribution of MM also differed in the two groups being often bilateral in healthy subjects, invariably unilateral in PD patients. When parkinsonian signs were unilateral, MM always manifested on the unaffected side; when parkinsonian signs were bilateral, MM manifested on the less affected side. PD patients manifesting MM scored significantly lower on Hohen and Yahr staging than patients without MM. Likewise, there was a significant inverse correlation between the intensity of MM as rated by the Woods and Teuber score and HY staging (r = -0.16, P < 0.01). The low frequency of MM in PD probably relates to the complex interactions between the pathophysiological mechanisms leading to parkinsonian signs and the mechanisms responsible for movement lateralization. (C) 2007 Movement Disorder Society

    Involvement of the human dorsal premotor cortex in unimanual motor control: An interference approach using transcranial magnetic stimulation

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    Unilateral movements are enabled through a distributed network of motor cortical areas but the relative contribution from the parts of this network is largely unknown. Failure of this network potentially results in mirror activation of the primary motor cortex (M1) ipsilateral to the intended movement. Here we tested the role of the right dorsal premotor cortex (dPMC) in 11 healthy subjects by disrupting its activity with 20 Hz repetitive transcranial magnetic stimulation (rTMS) whilst the subjects exerted a unilateral contraction of the left first dorsal interosseous (FDI). We found that disruption of right dPMC enhanced mirror activation of the ipsilateral left M1, as probed by motor evoked potential (MEP) amplitude to the right FDI. This was not the case with sham rTMS, when rTMS was directed to the right M1, or with rTMS of the right dPMC but without contraction of the left FDI. Findings suggest that activity in the dPMC contributes to the suppression of mirror movements during intended unilateral movements. © 2004 Elsevier Ireland Ltd. All rights reserved
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