The Stand-Alone Tremor

2016 ◽  
Author(s):  
Robertus M. A. de Bie
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Head And Neck ◽  
Essential Tremor ◽  
Progressive Disease ◽  
The Body ◽  
Head Tremor ◽  
Kinetic Tremor ◽  
The Voice

Essential tremor is defined as long-standing bilateral hand/arm tremor that is visible and may occur persistently during posture-holding, simple movements, and action. The tremor may be slightly asymmetrical. Other areas of the body that may be affected are head and neck (most frequently), the voice, and legs. Head tremor without limb tremor is accepted as essential tremor, although this definition remains controversial. Essential tremor is a progressive disease and manifests at any age. Tremor in Parkinson’s disease mostly starts unilaterally. A no–no or yes–yes tremor of the head indicates essential tremor, whereas a tremor of the jaw or tongue fits with Parkinson’s disease. The cogwheel phenomenon may also occur in patients with essential tremor. Toxins and medications as the cause for postural/kinetic tremor must be ruled out. Pharmacological options for essential tremor can be unsatisfactory.

scholarly journals Research on Characteristics of Essential Tremor in the Latvian Population / Esenciālā Tremora Īpatnību Izpēte Latvijas Populācijā

2015 ◽  
Vol 69 (5) ◽  
pp. 259-264
Author(s):  
Ligita Smeltere ◽  
Elvīra Smeltere
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Movement Disorder ◽  
Essential Tremor ◽  
Severe Form ◽  
Progressive Development ◽  
Kinetic Tremor

Abstract Essential tremor (ET) is a common movement disorder, characterised by symptoms such as bilateral postural and kinetic tremor with prevalent manifestation in hands. The disease has chronic progressive development. In the case of continuous severe form it may resemble Parkinson’s disease (PD) and sometimes comorbidity with PD is possible. Although both diseases have different pathogenesis and treatment, some tremor characteristics for both are similar, thus causing difficulties and mistakes in diagnosing. The aim of the research was to determine ET characteristics within the Latvian population to identify possible causes for making mistakes.

Movement Disorders 1: Tourette’s Syndrome, Essential Tremor, and Parkinson’s Disease (DRAFT)

2018 ◽  
Author(s):  
Tamara Kaplan ◽  
Tracey Milligan
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Essential Tremor ◽  
Movement Disorders ◽  
Postural Instability ◽  
Tourette's Syndrome ◽  
Tourette’S Syndrome ◽  
Resting Tremor ◽  
Kinetic Tremor ◽  
Vocal Tics

The video in this chapter explores movement disorders, and focuses on Tourette’s Syndrome, Essential tremor, and Parkinson’s Disease. It outlines the characteristics of each, such as motor and vocal tics in Tourette’s Syndrome, postural or kinetic tremor in Essential tremor, and the four hallmark features of Parkinson’s Disease (bradykinesia, resting tremor, cogwheel rigidity, and postural instability).

scholarly journals MICROBIOTA INTESTINAL RELACIONADA A DOENÇA DE PARKINSON

2021 ◽  
Vol 5 (1) ◽  
pp. 49-60
Author(s):  
Caroline Felix da Silva ◽  
Graziele Estevo Azevedo ◽  
Natália Franco Taketani
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Gastrointestinal Tract ◽  
Intestinal Microbiota ◽  
Direct Relationship ◽  
Progressive Disease ◽  
Signs And Symptoms ◽  
The Body ◽  
Early Age ◽  
The Brain

RESUMO. A Doença de Parkinson é uma doença crônica, neurodegenerativa e progressiva onde não tem cura. Ainda há muitas investigações para se descobrir a causa da patologia. Em estudos recentes descobriram que pode ter uma relação direta com intestino, com a possibilidade de origem na microbiota intestinal e espalhando-se até o cérebro, com relação a uma desregulação no trato gastrointestinal. É reconhecido que, antes de aparecer os sinais e sintomas motores da doença, o organismo começa a sofrer alterações desde cedo, como a constipação intestinal, com o fortalecimento da hipótese de que a doença de Parkinson tenha início no trato gastrointestinal, e chegue até o cérebro através do nervo vago. Este trabalho pretende abordar sobre a microbiota intestinal e a sua conexão com a doença de Parkinson fazendo revisão de estudos e evidência de como sua composição no hospedeiro pode influenciar o seu metabolismo. A modulação da microbiota intestinal poderá, então, ser uma estratégia para o desenvolvimento de novas opções terapêuticas para o tratamento de doenças neurodegenerativas. ABSTRACT. Parkinson's Disease is a chronic, neurodegenerative and progressive disease that has no cure. There are still many investigations to discover the cause of the pathology. In recent studies they found that it may have a direct relationship with the intestine, with the possibility of originating in the intestinal microbiota and spreading to the brain, with respect to dysregulation in the gastrointestinal tract. It is recognized that, before the appearance of the motor signs and symptoms of the disease, the body begins to undergo changes from an early age, such as intestinal constipation, with the strengthening of the hypothesis that Parkinson's disease starts in the gastrointestinal tract and reaches the brain through the vagus nerve. This work intends to approach the intestinal microbiota and its connection with Parkinson's disease, reviewing studies and evidence on how its composition in the host can influence its metabolism. The modulation of the intestinal microbiota could then be a strategy for the development of new therapeutic options for the treatment of neurodegenerative diseases.

scholarly journals Electrophysiologic characteristics of tremor in Parkinson?s disease and essential tremor

2014 ◽  
Vol 72 (4) ◽  
pp. 301-306 ◽  
Author(s):  
Ederson Cichaczewski ◽  
Renato P. Munhoz ◽  
Joaquim M. Maia ◽  
Percy Nohama ◽  
Edison M. Nóvak ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Essential Tremor ◽  
Average Frequency ◽  
Rest Tremor ◽  
Kinetic Tremor ◽  
Tremor Analysis ◽  
Rest Posture ◽  
Similar Intensity

Tremor in essential tremor (ET) and Parkinson’s disease (PD) usually present specific electrophysiologic profiles, however amplitude and frequency may have wide variations. Objective: To present the electrophysiologic findings in PD and ET. Method: Patients were assessed at rest, with posture and action. Seventeen patients with ET and 62 with PD were included. PD cases were clustered into three groups: predominant rest tremor; tremor with similar intensity at rest, posture and during kinetic task; and predominant kinetic tremor. Results: Patients with PD presented tremors with average frequency of 5.29±1.18 Hz at rest, 5.79±1.39 Hz with posture and 6.48±1.34 Hz with the kinetic task. Tremor in ET presented with an average frequency of 5.97±1.1 Hz at rest, 6.18±1 Hz with posture and 6.53±1.2 Hz with kinetic task. Seven (41.2%) also showed rest tremor. Conclusion: The tremor analysis alone using the methodology described here, is not sufficient to differentiate tremor in ET and PD.

scholarly journals Tremor in Parkinson’s disease and essential tremor: practical aspects of differential diagnosis

2019 ◽  
pp. 46-54 ◽  
Author(s):  
N. V. Titova ◽  
Yu. N. Bezdolny ◽  
I. V. Shtuchny ◽  
D. A. Sibetsky
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Differential Diagnosis ◽  
Essential Tremor ◽  
Single Photon ◽  
Correct Diagnosis ◽  
Photon Emission ◽  
The Body ◽  
Emission Computed Tomography ◽  
Initial Contact

Despite the developed criteria of essential tremor (ET) and Parkinson’s disease (PD), clinical practice shows a high percentage of misdiagnoses, especially in the early stages of the disease and during the patient’s initial contact with a neurologist. In addition, the same patient may have signs of ET and PD at the same time. For a correct diagnosis, a detailed clinical examination is necessary. The specific characteristics of tremor (frequency, amplitude, type, involvement of specific parts of the body), history, associated neurological signs, and concomitant non-motor symptoms help to recognize and distinguish these two diseases. In order to exclude the possible negative effect of concomitant medications on tremor, it is necessary to find out about the medication history. The article offers an algorithm of survey and inspection, as well as the interpretation of the data obtained. In diagnostically complicated cases, «trial» therapy is carried out. Additional information for differential diagnosis can be provided by the results of instrumental methods of investigation of transcranial sonography of black substance and single-photon emission computed tomography (DaTSCAN).

scholarly journals Design and Development of an Algorithm to Detect and diagnose Parkinson’s disease

2021 ◽  
Vol 23 (06) ◽  
pp. 1468-1473
Author(s):  
Singa Reddy Bhagya Lakshmi ◽  
◽  
Siri S Gowda ◽  
Trisha A ◽  
◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Chemical Substance ◽  
The Body ◽  
Support Vector ◽  
Support Vector Machine Algorithm ◽  
Decision Tree Classifier ◽  
Performance Accuracy ◽  
Tree Classifier ◽  
The Voice

Parkinson’s disease is a neurological disorder that affects the neurons that produce a chemical substance known as dopamine. The symptoms of this disease are tremors, stiffness all around the body, vocal impairment. If not treated early this disease might even lead to death. This disease doesn’t have a treatment, but an early prediction might help in the reduction of the progress of the disease. Detecting the disease is much more difficult as there is no quantitative test that can be conducted to detect the disease. Voice is one of the primary symptoms of this disease and therefore the features present in the voice can be extracted and can be used to train a model to detect whether the person is suffering from the disease or not. An ensemble learning voting classifier algorithm is designed with a performance accuracy of more than ninety percent and is used for the prediction of the disease using the vocal features extracted from the person. This algorithm is trained with the dataset which contains both normal as well as the affected person’s voice features. Decision tree classifier algorithm, Logistic Regression, and that of the Support Vector Machine Algorithm are used as the input for the voting classifier which is used for detecting the disease.

SPECT-Befunde bei Hemiparkinson-Syndrom mit 99mTc-HMPAO

1989 ◽  
Vol 28 (03) ◽  
pp. 92-94 ◽  
Author(s):  
C. Neumann ◽  
H. Baas ◽  
R. Hefner ◽  
G. Hör
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Basal Ganglia ◽  
Neuronal Activity ◽  
Tracer Uptake ◽  
The Body ◽  
99Mtc Hmpao ◽  
Do So

The symptoms of Parkinson’s disease often begin on one side of the body and continue to do so as the disease progresses. First SPECT results in 4 patients with hemiparkinsonism using 99mTc-HMPAO as perfusion marker are reported. Three patients exhibited reduced tracer uptake in the contralateral basal ganglia One patient who was under therapy for 1 year, showed a different perfusion pattern with reduced uptake in both basal ganglia. These results might indicate reduced perfusion secondary to reduced striatal neuronal activity.

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