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Clinical assessment of movement disorders requires careful visual observation in order to fully characterize the phenomenology and the severity of the disorder. The definitions presented in Chapter 3 and detailed characteristics of individual movement disorders provided in Chapter 7, Chapter 8 and 10–16 rely on descriptions of characteristic spatial and temporal properties of both voluntary and involuntary movements in the specific disorders. Pattern recognition can be helpful, but in many cases, a systematic approach to evaluating specific features is necessary to assure that a correct diagnosis is made. Many movement disorders can be evaluated during the face-to-face clinic visit, but in other cases the movements may not be observed. In those cases, video capture of the movements can be essential for correct diagnosis. The widespread availability of smart phones or tablets with high quality video capability has greatly enhanced the ability of physicians to witness movements and make more accurate diagnoses. Indeed, some movement disorders neurologists are now using telemedicine to evaluate and treat patients with movement disorders. ,
Although visual assessment of movement patterns by an experienced clinician is sufficient to classify movement disorders, there are limitations. Some patients have more than one movement disorder. Other patients have one or more movement disorders in association with other neurological signs. In these situations, it is usually possible to diagnoses the movement disorders clinically, but it is often difficult to separate out the relative contribution of each to the patient's disability. And sometimes it is difficult to be certain of the correct classification of the movements when they are at the extremes of the characteristic range. For example, very brief choreic movements may resemble myoclonus. The use of technology to measure movements (kinematics), muscle contractions (electromyography), or central nervous system signals associated with individual movements (evoked potentials) may assist in making an accurate diagnosis. These techniques have a utility especially in evaluating functional movement disorders, such as functional myoclonus. Increasingly, remote assessments of movement using wearable technology have been performed in clinical research. Technology has also been used to investigate the pathophysiology of movement disorders in children; those applications will be discussed in chapters on the specific movement disorders.
Beyond diagnosis, there is often a need to assess the severity of the movement disorder in order to gauge disease progression or response to treatment. Although certain technologies can also be used for this, clinical rating scales have greater utility in a routine clinical setting. Several valid and reliable clinical rating scales are available for use in children with movement disorders.
Kinematic analysis of movement involves the measurement of position, velocity, and acceleration of one or more body parts. Linear measurements of specific parts, angular measurements at joints, or a combination can be performed in order to quantify the special and temporal properties of movements of multiple, body parts simultaneously. It is general best for kinematic measurements to be made in three dimensions, but two-dimensional measures can also be useful. Kinematic methods have been employed in a large number of adult studies, but some methods are less practical for young children. However, kinematic methods have been used in children to quantify the pattern, severity, or impact of several disorders including ataxia, dystonia, parkinsonism, stereotypies, tics, and tremor. Moreover, these methods have been applied to discriminate among multiple movement disorders occurring within or across individual patients. , , Kinematic assessment in patients with movement disorders using wearable devices that can be used in the home or school setting is an emergent area in research. Applicability in clinical care settings remains to be determined, but with the increasing use of telehealth, wearable sensors are likely to be part of our future clinical assessment tools.
Surface electromyography (EMG) has been used in adults to define the temporal features of myoclonus, chorea, dystonia, and tics. Similar studies have not been performed in children. However, EMG has been used to assess features of childhood dystonia. , EMG can be useful in detecting and diagnosing myoclonus in neurodegenerative disorders. and may helpful in distinguishing organic movement disorders from functional (conversion) disorders in some cases.
Cortical neurophysiology may be useful in evaluating biomarkers and investigating network physiology in a variety of movement disorders. Event-related potentials (ERPs) related to reinforcement learning have been shown to differentiate individuals with Tourette Syndrome plus ADHD from those with Tourette Syndrome without ADHD. ERPs reveal differences in emotional processing between children with Tourette Syndrome and healthy controls.
Simultaneous measurement of the cortical electrical potentials with EEG electrodes and EMG may be helpful in determining whether myoclonus is originating in cerebral cortex or in subcortical regions. The “readiness potential” (Bereitschaftpotential), which precedes voluntary movement, may be useful in some cases to distinguish voluntary or semivoluntary from involuntary movements and organic from functional movement disorders.
Transcranial magnetic stimulation (TMS) can be used to study excitability of motor cortex, cortical inhibitory mechanisms, and interactions between brain regions in different disorders. , It is safe to use as an investigative tool in children and has been used in several studies of Tourette syndrome and cerebral palsy. , TMS has revealed differences in children with Tourette syndrome with or without accompanying ADHD. , It has also revealed differences in children with Sydenham chorea (SC) compared to healthy controls. It is not known whether TMS has the potential to inform diagnosis of children with movement disorders nor whether it is sensitive and reliable for quantifying disease progression or responses to treatment.
Rating scales are clinical instruments that are designed to measure the presence and severity of clinical features. Rating scales can be disease-specific, encompassing many features of the disease. The Movement Disorders Society Unified Parkinson Disease Rating Scale (MDS-UPDRS) and the Unified Huntington Disease Rating Scale (UHDRS) are multidimensional scales that were designed to rate the key features of the relevant disease. One axis for each scale is a “motor” subscale that specifically rates the key features of the movement disorders. These scales have been used widely in clinical studies of Parkinson’s disease and Huntington’s disease in adults. Although these scales were designed to be disease-specific, neither scale is a diagnostic instrument. In other words, a nonzero score on the motor subscale of the MDS-UPDRS does not mean that the patient being evaluated has Parkinson’s disease. Other scales are restricted to a specific sign or symptoms. For example, the Ashworth scale rates spasticity only.
Most published movement disorders rating scales were designed for evaluation of movement disorders in adults. Some of these scales have been applied in studies of children, but their use may be confounded by the impact of development on understanding of instructions and on motor control. , Other scales have been developed and tested for use in children.
An ideal clinical rating meets certain criteria including validity, reliability, internal consistency, utility, and responsiveness to treatment. Validity is the ability of a scale to actually measure what it was designed to measure. There are several types of validity. The most common type of validity demonstrated by clinical rating scales is construct (face) validity: does the measure seem reasonable based on what is known of the disorder and is it likely to yield the type of information it was designed to obtain. Convergent validity is the property of performing comparably to a previously validated scale. Discriminative validity is the property of not correlating with a measure of an unrelated variable. Predictive validity is the ability of a scale to predict response to future disease course or response to treatment. Reliability is the degree to which repeated application of the scale within a narrow time window yields the same results. It is a measure of reproducibility. Clinical scales are often evaluated for interrater reliability, agreement between examiners evaluating the same subject, and intrarater reliability, the ability of a single examiner to arrive at the same answer with repeated administration. Internal consistency is the ability of items that should measure the same general construct to produce similar scores. Utility is the ability of a scale to be administered without undue burden to examiner or to subject; can it be used in a routine clinical setting. Responsiveness to treatment is the ability of scale to measure a response to treatment when one exists and to have the sensitivity to determine the minimal clinically meaningful change. Few movement disorders rating scales have met all of these criteria in adults , ; even fewer have been shown to have good clinicometric properties in children.
A comprehensive and critical review of movement disorders rating scales for children is beyond the intend scope of this chapter. Many scales designed to assess function, quality of life, care-giver burden, pain, and other aspects of disability or health have been used in studies of movement disorders, but they are not specific to any one particular disorder. In the remainder of this chapter, available scales that are specific to individual movement disorders and that have been used in children with movement disorders will be described under specific movement disorders below. Two unique instruments that were designed to be able to be used in children with more than one movement disorder are discussed at the end of this chapter.
Multiple ataxia rating scales have been designed, most developed and tested for use in adults. Three main ataxia scales have been used in children: the Scale for the Assessment and Rating of Ataxia (SARA), the International Cooperative Ataxia Rating Scale (ICARS), and the Friedreich Ataxia Rating Scale (FARS). All three are intercorrelated, but there are some differences that may favor one over the others in specific situations. , All three have been tested in children, and all three have been shown to have limitations in children below 12 year of age due to developmental factors.
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