Effects of object size and distance on reaching kinematics in patients with schizophrenia

Wang, Shu Mei; Kuo, Li-Chieh; Ouyang, Wen; Hsu, Hsiao Man; Ing, Hui

doi:10.1177/1569186118759610

Cited by 7 publications

(10 citation statements)

References 41 publications

(65 reference statements)

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“…In humans, time to maximum velocity and maximum velocity, also known as time to peak velocity and peak velocity, decrease as a motion becomes more efficient (Ma & Trombly, 2004;Wang et al, 2018;Wu et al, 2000). Maximum velocity of reaching did not change between success vs fail reaches in our mice (Table 1.).…”

Section: Resultsmentioning

confidence: 61%

Key kinematic features in early training predict performance of adult female mice in a single pellet reaching and grasping task

Mykins

Wade

et al. 2021

Preprint

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Detailed analyses of overly trained animal models have been long employed to decipher foundational features of skilled motor tasks and their underlying neurobiology. However, initial trial-and-error features that ultimately give rise to skilled, stereotypic movements, and the underlying neurobiological basis of flexibility in learning, to stereotypic movement in adult animals are still unclear. Knowledge obtained from addressing these questions is crucial to improve quality of life in patients affected by movement disorders. We sought to determine if known kinematic parameters of skilled movement in humans could predict learning of motor efficiency in mice during the single pellet reaching and grasping assay. Mice were food restricted to increase motivation to reach for a high reward food pellet. Their attempts to retrieve the pellet were recorded for 10 minutes a day for continuous 4 days. Individual successful and failed reaches for each mouse were manually tracked using Tracker Motion Analysis Software to extract time series data and kinematic features. We found the number of peaks and time to maximum velocity were strong predictors of individual variation in failure and success, respectively. Overall, our approach validates the use of select kinematic features to describe fine motor skill acquisition in mice and establishes peaks and time to maximum velocity as predictive measure of natural variation in motion efficiency in mice. This manually curated dataset, and kinematic parameters would be useful in comparing with pose estimation generated from deep learning approaches.

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Section: Resultsmentioning

confidence: 61%

Key kinematic features in early training predict performance of adult female mice in a single pellet reaching and grasping task

Mykins

Wade

et al. 2021

Preprint

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“…Two reflective markers were placed on the ulnar styloid process (representing the wrist) and the thumbnail of the right hand and additional two markers on the object (Figure 2). This right-hand task was adapted based on the tasks in previous studies that detected movement abnormalities in schizophrenia patients (25)(26)(27).…”

Section: The Right-hand Taskmentioning

confidence: 99%

“…By recording movement trajectories of markers/sensors attached to the patient's body parts, motion capture systems make it possible to calculate kinematic variables that objectively and directly reflect movement speed and quality for each body part in the patient. Existing studies have applied motion capture systems to measuring hand movements in patients with schizophrenia (25)(26)(27). Nevertheless, to date, little has been known about whether motion capture systems reliably measured hand and facial bradykinesia and dyskinesia in schizophrenia patients.…”

Section: Introductionmentioning

confidence: 99%

An Instrumental Measure of Hand and Facial Movement Abnormalities in Patients With Schizophrenia

et al. 2022

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IntroductionMovement disorders have been suggested to be a cardinal component of schizophrenia. With increased research interests in this area, instrumental measures are needed. This study was to examine if the motion capture system was reliable in measuring hand and facial bradykinesia and dyskinesia and more sensitive to detecting movement differences between schizophrenia patients and healthy people than traditional rating scales.MethodsSixteen schizophrenia patients and 20 control subjects were recruited. Hand and facial bradykinesia and dyskinesia were measured using the motion capture system and rated using the Extrapyramidal Symptom Rating Scale and the Abnormal Involuntary Movement Scale.ResultsThe system showed strong test–retest reliability and generated larger effect sizes of group differences than did the rating scales.ConclusionsThe results may support researchers and clinical practitioners to apply the system to sensitively measuring the hand and facial movement symptoms in schizophrenia patients, which contributes to gaining a deep understanding of movement issues in schizophrenia.

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“…All those tasks measure the speed and accuracy of the hand movement performance. In addition, the gross movement performance of the arm, such as reaching, was also slower and less direct in persons with schizophrenia compared to those of normal controls [13]. Arm reaching is a frequently performed motor behavior and an important element in many activities of daily living.…”

Section: Introductionmentioning

confidence: 99%

“…Changing the object size and its distance is one method has been found to enhance reaching performance in persons with schizophrenia [13]. It is believed that the movement performance improves when an individual focuses his/her attention externally on the movement outcome rather than internally on the body movement itself [16].…”

Section: Introductionmentioning

confidence: 99%

Effects of different types of sensory signals on reaching performance in persons with chronic schizophrenia

et al. 2020

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Previous studies have reported movement abnormalities in persons with schizophrenia. This study aimed to examine the differences between persons with chronic schizophrenia and healthy control participants in reaching movement and the effects of sensory signals on reaching performance in persons with chronic schizophrenia. A counterbalanced repeatedmeasures design was employed. Twenty persons with schizophrenia and 20 age-and gender-matched control participants were recruited in this study. Reaching performance was measured in three types of sensory signal conditions (visual, auditory, and no signal), i.e., two externally triggered and one self-initiated movement were assessed in reaction time/ inter-response interval, movement time, peak velocity, percentage of time in which peak velocity occurred, and movement units. The results revealed significant main effects of group in reaction time/inter-response interval (p = 0.003), movement time (p < 0.001), peak velocity (p < 0.001), and movement units (p < 0.001). The persons with chronic schizophrenia demonstrated slower response to signals and in self-initiated movement, increased movement time, and less forceful and less smooth movement compared to healthy control participants when performing the reaching task. The interaction effect between group and signal in reaction time/inter-response interval was also significant (p < 0.001). The interresponse interval for self-initiated reaching was the shortest in healthy controls. Conversely, the inter-response interval for self-initiated reaching was the longest in persons with schizophrenia. The main effect of the signal on movement time was significant (p < 0.001). The movement time of reaching was longer in response to the auditory signal than in response to visual or self-initiated. The differences in percentages of time in which peak velocity occurred between persons with schizophrenia and healthy controls (p > 0.01) and across the three conditions (p > 0.01) were non-significant. Neither duration of illness nor antipsychotic dosage was significantly associated with reaching performance (all p > 0.01). In conclusion, these findings indicate that reaching movement in persons with chronic schizophrenia is slower, less forceful, and less coordinated compared to healthy control

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Effects of object size and distance on reaching kinematics in patients with schizophrenia

Cited by 7 publications

References 41 publications

Key kinematic features in early training predict performance of adult female mice in a single pellet reaching and grasping task

Key kinematic features in early training predict performance of adult female mice in a single pellet reaching and grasping task

An Instrumental Measure of Hand and Facial Movement Abnormalities in Patients With Schizophrenia

Effects of different types of sensory signals on reaching performance in persons with chronic schizophrenia

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