Resting and Reemergent Tongue Tremor as Presenting Symptoms of Parkinson's Disease.
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ABSTRACT:
SUBMITTER: Fabbri M
PROVIDER: S-EPMC6353341 | biostudies-literature | 2017 Mar-Apr
REPOSITORIES: biostudies-literature
Publications
Resting and Reemergent Tongue Tremor as Presenting Symptoms of Parkinson's Disease.
Fabbri Margherita M Abreu Luis L Santos Telma T Ferreira Joaquim J JJ
Movement disorders clinical practice 20160803 2
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Project description: Not available
| S-EPMC6178599 | biostudies-literature
Project description:BackgroundDistinguishing between essential tremor (ET) and tremor-dominant Parkinson's disease (PD-TD) can be challenging due to overlapping motor symptoms. This study aims to investigate the differences in nonmotor symptoms (NMS) between ET and PD-TD patients to provide additional evidence for differentiating these two conditions.MethodsThis retrospective study included 1656 participants, comprising 558 PD-TD patients, 584 ET patients, and 514 controls. ET patients were assessed using the Tremor Research Group Essential Tremor Rating Assessment Scale (TETRAS), while PD-TD patients were evaluated based on the Unified Parkinson's Disease Rating Scale (UPDRS). All participants were assessed for NMS using the Nonmotor Symptoms Scale (NMSS).ResultsThe composite NMSS score for the PD-TD group was significantly higher than that for the ET group and the control group (23.44 ± 20.20 vs. 12.60 ± 14.89 vs. 9.37 ± 12.44, p < 0.001). Compared to ET patients, PD-TD patients had an increased risk of all NMS, especially in hyposmia (OR = 7.70, 95% CI: 5.11-11.62). The NMSS score, urinary symptoms, and hyposmia may play a role in differentiating ET from PD-TD. The area under the curve (AUC) is 0.766 (95% CI: 0.739-0.793), with a sensitivity of 80.8% and specificity of 58.6%. When family history is included in the analysis, the AUC increases to 0.819 (95% CI: 0.795-0.843), with sensitivity improving to 82.4% and specificity to 68.2%.ConclusionsThe study reveals significant differences in NMS between ET and PD-TD. Compared to patients with ET, those with PD-TD exhibit more frequent and severe NMS. NMS and family history are helpful in differentiating between ET and PD-TD.
| S-EPMC11808177 | biostudies-literature
Project description:Abstract Plenty of etiologies are reported to cause tongue tremor. Focal epilepsy presenting as isolated tongue tremor is a rare condition, suggesting how variable the focal seizure presentation may be. This paper reports a case of focal epilepsy due to presence of a cavernous angioma in the region of cortical motor area related to tongue movements. It is an clinical example of pathological conditions affecting the tongue area in motor homunculus. Focal epilepsy presenting as isolated tongue tremor is a rare condition. In this case report, a case of focal epilepsy due to the presence of a cavernous angioma in the region of cortical motor area related to tongue movements is described.
| S-EPMC8864572 | biostudies-literature
Project description:ObjectivesTo compare non-motor symptoms (NMSs) among patients with essential tremor (ET), Parkinson's disease (PD) subtypes (akinetic-rigid type (ART) and tremor-dominant type (TDT)), and healthy controls.Patients and methodsThis retrospective study included 129 participants, 72 PD (33 PD-ART, 33 PD-TDT, and 6 Mixed), 29 ET patients, and 28 controls. PD patients were assessed by the unified Parkinson's disease rating scale (UPDRS), Hoehn, and Yahr scale (H&Y), while ET patients were evaluated by the Fahn Tolosa Marin Tremor Rating Scale. All subjects were evaluated by non-motor symptoms scale (NMSS) for NMSs and Beck depression inventory (BDI) for depression.ResultsPD subtypes groups, ET, and controls were age and gender-matched. Compared to controls, all PD, PD subtypes, and ET showed significantly worse most of NMSs (p<0.001) and depression. Compared to ET, all PD and PD-ART had significantly worse gastrointestinal (p = 0.002), urinary symptoms (p = 0.001, p = 0.003) and depression (p = 0.002) and PD-TDT worse depression, while ET patients showed worse memory/attention than PD subtypes. Total NMSS of ET is highly correlated to depression and moderately to tremor severity and age of onset, while total of NMSS is highly correlated to depression, disease severity, and disability.ConclusionThe current study demonstrated several comparable domains of NMSs of PD subtypes and ET, except worse gastrointestinal and urinary symptoms among PD-ART. Identifying different NMSs profiles is important for predicting, better assessing, and tailoring management of ET and PD subtypes.
| S-EPMC7840014 | biostudies-literature
Project description:IntroductionInternal tremor (IT) occurs in > 30 % of people with Parkinson's Disease (PwPD), but remains largely uninvestigated. Our objective was to describe demographic characteristics and associated symptoms in PwPD who reported IT.MethodsThis was a matched case-control survey study. Data were from PwPD in the Fox Insight study who answered the Patient Report of Problems (PD-PROP) assessment, a series of open-ended questions that asks people to report in their own words their most bothersome PD-related problems. Cases were those who reported IT ≥ 1 times compared with PwPD controls who did not report IT and were matched 1:3 by age and disease duration.Results243 PwPD reported IT as a bothersome problem. Mean (SD) age of cases was 64.9 (9.4) years and disease duration was 3.8 (4.0) years. The proportion of women was greater among cases compared to controls (74 % vs 47 %, p < 0.0001). External tremor as a PD-PROP symptom was reported by 98 % cases and 48 % controls (p < 0.0001). Several non-motor symptoms were more common among cases than controls, including anxiety (35 % vs 20 %), fatigue (41 % vs 31 %), and pain (57 % vs 37 %). The odds of IT was significantly higher in women when adjusting for anxiety and motor experiences of daily living score (OR 3.07, 95 %CI 2.14-4.41, p < 0.0001).ConclusionPwPD with IT report a range of associated symptoms, including external tremor, anxiety, and pain. Sex differences in the experience of IT may exist. Studies of IT are needed to understand its etiology and inform clinical care.
| S-EPMC10689282 | biostudies-literature
Project description:Parkinson's disease (PD) is a clinically heterogeneous disease in the symptomatology dominated by tremor, akinesia, or rigidity. Focusing on PD patients with tremor, this study investigated their discoordination patterns of spontaneous brain activity by combining voxel-wise centrality, seed-based functional connectivity, and network efficiency methods. Sixteen patients and 20 matched healthy controls (HCs) were recruited and underwent structural and resting-state functional MRI scan. Compared with the HCs, the patients exhibited increased centrality in the frontal, parietal, and occipital regions while decreased centrality in the cerebellum anterior lobe and thalamus. Seeded at these regions, a distributed network was further identified that encompassed cortical (default mode network, sensorimotor cortex, prefrontal and occipital areas) and subcortical (thalamus and basal ganglia) regions and the cerebellum and brainstem. Graph-based analyses of this network revealed increased information transformation efficiency in the patients. Moreover, the identified network correlated with clinical manifestations in the patients and could distinguish the patients from HCs. Morphometric analyses revealed decreased gray matter volume in multiple regions that largely accounted for the observed functional abnormalities. Together, these findings provide a comprehensive view of network disorganization in PD with tremor and have important implications for understanding neural substrates underlying this specific type of PD.
| S-EPMC4315047 | biostudies-literature
Project description: Not available
| S-EPMC6353404 | biostudies-literature
Project description:The aim of this study is comparing the accuracies of machine learning algorithms to classify data concerning healthy subjects and patients with Parkinson's Disease (PD), toward different time window lengths and a number of features. Thirty-two healthy subjects and eighteen patients with PD took part on this study. The study obtained inertial recordings by using an accelerometer and a gyroscope assessing both hands of the subjects during hand resting state. We extracted time and temporal frequency domain features to feed seven machine learning algorithms: k-nearest-neighbors (kNN); logistic regression; support vector classifier (SVC); linear discriminant analysis; random forest; decision tree; and gaussian Naïve Bayes. The accuracy of the classifiers was compared using different numbers of extracted features (i.e., 272, 190, 136, 82, and 27) from different time window lengths (i.e., 1, 5, 10, and 15 s). The inertial recordings were characterized by oscillatory waveforms that, especially in patients with PD, peaked in a frequency range between 3 and 8 Hz. Outcomes showed that the most important features were the mean frequency, linear prediction coefficients, power ratio, power density skew, and kurtosis. We observed that accuracies calculated in the testing phase were higher than in the training phase. Comparing the testing accuracies, we found significant interactions among time window length and the type of classifier (p < 0.05). The study found significant effects on estimated accuracies, according to their type of algorithm, time window length, and their interaction. kNN presented the highest accuracy, while SVC showed the worst results. kNN feeding by features extracted from 1 and 5 s were the combination with more frequently highest accuracies. Classification using few features led to similar decision of the algorithms. Moreover, performance increased significantly according to the number of features used, reaching a plateau around 136. Finally, the results of this study suggested that kNN was the best algorithm to classify hand resting tremor in patients with PD.
| S-EPMC7381229 | biostudies-literature
Project description:Background:This is a case of re-emergent kinetic tremor in Parkinson's Disease (PD). Phenomenology shown:The video shows re-emergent kinetic tremor while drawing a spiral and with repeated attempts to drink water from a cup. Educational value:The kinetic tremor described by patients with PD can be a re-emergent tremor which occurs after a few repetitive movements.
| S-EPMC6691624 | biostudies-literature
Project description:Surprisingly little has been written about the combined clinical entity, essential tremor-Parkinson's disease (ET-PD), which is the result of a double disease hit. We carefully quantified tremor burden using a wide range of measures (tremor severity, tremor-related disability, tremor-related quality of life) and furthermore, studied additional motor and non-motor features in ET-PD.In this prospective, clinical-epidemiological study, we performed a standardized, structured clinical evaluation of 27 ET-PD patients, comparing them to age-matched samples of 35 PD and 109 ET patients.The number of hours/day shaking was lowest in PD (median=3.0), intermediate in ET (median=10.0) and highest in ET-PD (median=14.0) (p<0.001). All measures of mobility and balance (Berg Balance test, Activities-specific Balance Confidence Scale, Timed Up and Go test) worsened across groups in a stepwise manner from ET to PD to ET-PD (p<0.05). Mini-mental state test scores worsened (p=0.002) and daytime sleepiness increased (p=0.002) across groups from ET to PD to ET-PD.The ET-PD patient seems to be more than just a PD patient with a little more kinetic tremor. Aside from a significantly greater tremor burden, ET-PD patients exhibited more cognitive and sleep problems and more mobility and balance problems than patients with isolated PD.
| S-EPMC5300045 | biostudies-literature