Validity and reliability of a new tool to evaluate handwriting difficulties in Parkinson's disease

Handwriting, touchscreen dexterity and bradykinesia measures in Parkinson's disease: a feature selection study

INTRODUCTION

Bradykinesia affects handwriting and smartphone usage in patients with Parkinson's disease (pwPD).

OBJECTIVE

To assess handwriting, hand dexterity, smartphone usage, and bradykinesia in pwPD and identify features that best describe upper-limb alterations in pwPD.

METHODS

Forty pwPD and 30 age/sex-matched healthy controls were included. We used standard handwriting/dexterity tests: Manual-Ability-Measure-36, Purdue-Pegboard-Test (PPT) and copy of a text on paper. Spatiotemporal handwriting parameters were assessed using tests on a tablet: copy of text and pre-writing tasks. To obtain objective data on movement speed and amplitude on the smartphone, we developed tests involving the most commonly used gestures (tap, swipe, and slide). Bradykinesia during a finger-tapping task was evaluated using electromagnetic sensors. Sequential feature selection models were used to identify the parameters best distinguishing pwPD and healthy controls.

RESULTS

PwPD relative to healthy controls showed reduced manual ability and dexterity. They showed reduced movement amplitude and speed in smartphone tests and signs of micrographia during handwriting tests. Moreover, kinematic parameters correlated with both PPT and Movement Disorder Society-Unified Parkinson's Disease Rating Scale III. Each feature selection model demonstrated a good accuracy, particularly when including standard handwriting/dexterity tests (R2 = 0.90), tests on smartphone (R2 = 0.94) and all the features together (R2 = 0.97). The best features were self-reported manual abilities, PPT, tap and swipe speed/amplitude on smartphone.

CONCLUSIONS

This study showed that technological assessments can be added to standard evaluations to provide quantitative measures of handwriting, dexterity, and bradykinesia that will be useful to assess PD progression and the effects of interventions in pwPD.

Parkinson's disease functional movement battery a comprehensive test set to evaluate of motor abilities in persons with Parkinson's disease

Clinicians require quantitative measures of functional movement to inform care decisions for persons with Parkinson's disease (PWPs). To address this need, we developed the Parkinson's Disease-Functional Movement Battery (PD-FUNC), which includes valid items from existing assessments and evaluates five key areas from the MDS-UPDRS-III: manual dexterity, functional strength, locomotion, static balance, and activities of daily living. This study assessed the PD-FUNC's ability to distinguish between PWPs and healthy controls based on effect sizes and analyzed differences according to disease progression using years since diagnosis and MDS-UPDRS-III scores, as well as Hoehn & Yahr (H&Y) stages. The test was administered to 81 PD patients (H&Y stages 1-3) and 81 age-matched controls. All items, except grip force, discriminated effectively, with dexterity tasks showing the highest sensitivity (effect size r = 0.52-0.63). The PD-FUNC distinguished PD stages well, revealing early symptoms through dexterity tests (p = 0.001) and late-stage symptoms via dynamic stability tests. The PD-FUNC could provide a comprehensive assessment within 30-40 min and could be used to evaluate disease progression and medication effectiveness at home and in clinical settings.

In Silico Decoding of Parkinson's: Speech & Writing Analysis

Background: Parkinson's disease (PD) has transitioned from a rare condition in 1817 to the fastest-growing neurological disorder globally. The significant increase in cases from 2.5 million in 1990 to 6.1 million in 2016, coupled with predictions of a further doubling by 2040, underscores an impending healthcare challenge. This escalation aligns with global demographic shifts, including rising life expectancy and a growing global population. The economic impact, notably in the U.S., reached $51.9 billion in 2017, with projections suggesting a 46% increase by 2037, emphasizing the substantial socio-economic implications for both patients and caregivers. Coupled with a worldwide demand for health workers that is expected to rise to 80 million by 2030, we have fertile ground for a pandemic. Methods: Our transdisciplinary research focused on early PD detection through running speech and continuous handwriting analysis, incorporating medical, biomedical engineering, AI, and linguistic expertise. The cohort comprised 30 participants, including 20 PD patients at stages 1-4 on the Hoehn and Yahr scale and 10 healthy controls. We employed advanced AI techniques to analyze correlation plots generated from speech and handwriting features, aiming to identify prodromal PD biomarkers. Results: The study revealed distinct speech and handwriting patterns in PD patients compared to controls. Our ParkinsonNet model demonstrated high predictive accuracy, with F1 scores of 95.74% for speech and 96.72% for handwriting analyses. These findings highlight the potential of speech and handwriting as effective early biomarkers for PD. Conclusions: The integration of AI as a decision support system in analyzing speech and handwriting presents a promising approach for early PD detection. This methodology not only offers a novel diagnostic tool but also contributes to the broader understanding of PD's early manifestations. Further research is required to validate these findings in larger, diverse cohorts and to integrate these tools into clinical practice for timely PD pre-diagnosis and management.

The effects of safinamide on dysphagia in Parkinson's disease

Dysphagia is a potentially fatal symptom of Parkinson's disease (PD) and is characterized by frequent silent aspiration, a risk factor for aspiration pneumonia. The transdermal dopamine agonist rotigotine alleviates dysphagia in patients with PD and is more effective than oral levodopa, suggesting the importance of continuous dopaminergic stimulation (CDS) in swallowing. Safinamide is a monoamine oxidase B (MAOB) inhibitor that facilitates CDS. In this retrospective open-label evaluator-blinded research, swallowing functions in nine patients with PD were examined using a video fluoroscopic swallowing study (VFSS) before and after treatment with 50 mg of oral safinamide. The VFSS results showed that safinamide significantly improved some swallowing measures during oral and pharyngeal phases, including oral transit time and pharyngeal transit time, without worsening of any measures. Notably, improvements in lip closure, an oral phase component, seemed to be most attributable to improvements in oral phase scores. In conclusion, a medicine for CDS may effectively improve swallowing functions in patients with PD. This is the first study to show that the MAOB inhibitor safinamide partly but significantly improves swallowing function in patients with PD.

Writing errors in primary progressive aphasia

Peripheral errors in writing, that is errors produced download the spelling, have been occasionally described in primary progressive aphasia (PPA), but the possibility that these errors might be a marker of parkinsonism associated to some subtypes of PPA has not been explored. We investigated whether errors of peripheral nature characterize the writing disorder in PPA when associated with parkinsonian signs (PSs). Subgroups of PPA without PSs and with PSs were studied. The proportion of the central and peripheral errors in writing words and pseudowords was calculated in each group. In writing words, central errors significantly exceeded peripheral errors in subgroups without PSs. The higher the number of peripheral errors, the higher the probability of presenting PSs. No relation emerged between any error and the Unified Parkinson's Disease Rating Scale, but both types of errors correlated with measures of cognitive ability. Peripheral errors emerge when PSs are associated with PPA and may be linked to a decay of the cognitive control on movement, possibly involving the right hemisphere. Peripheral errors have clinical relevance in PPA, to the extent that they may assume the significance of a marker of specific subtypes and can help to outline the specific clinical picture of individual patients.

The Use of Handwriting Changes for the Follow-up of Patients with Bipolar Disorder

INTRODUCTION

Patients with bipolar disorder have motor skill deficiency and cognitive dysfunction. It is suggested that these deficiencies are related to the neurodevelopmental course of the disease. The aim of this study was to examine whether or not there was a change in the handwriting of patients with bipolar disorder in periods of mania and remission.

METHOD

Two samples of handwriting and signature were taken from the cases, one on admission before treatment and one just after discharge. The first sample was taken in the period when the patients hospitalised with manic episode before medications and the second sample was taken in remission when the decision for discharge was made. The handwriting changes betwen the manic episode and the remission period were examined.

RESULTS

In the examination of the handwriting between the two periods, there was an increase in the size of the writing, pen pressure, the length of words, the spaces between words, and missing and incorrect punctuation marks in the manic episode. There were no differences in any handwriting measure on function of the specific diagnosis or the antipsychotic dose but tremor count was higher in patients using antipsychotics (p<0.05). Most of the parameters showing a change were found to be related to the Young Mania Rating Scale (YMRS) scores.

CONCLUSION

The results of this study determined severe changes in the handwriting of patients with bipolar disorder in a period of mania. Handwriting features can be used to screen patients for discharge and can be used for prediction when a patient might switch into manic episode. Also intake YMRS scores were found as the most important feature that affect handwriting parameters in manic patients.

Levodopa improves handwriting and instrumental tasks in previously treated patients with Parkinson's disease

Motor symptoms in patients with Parkinson's disease may be determined with instrumental tests and rating procedures. Their outcomes reflect the functioning and the impairment of the individual patient when patients are tested off and on dopamine substituting drugs. Objectives were to investigate whether the execution speed of a handwriting task, instrumentally assessed fine motor behavior, and rating scores improve after soluble levodopa application. 38 right-handed patients were taken off their regular drug therapy for at least 12 h before scoring, handwriting, and performance of instrumental devices before and 1 h after 100 mg levodopa intake. The outcomes of all performed procedures improved. The easy-to-perform handwriting task and the instrumental tests demand for fast and precise execution of movement sequences with considerable cognitive load in the domains' attention and concentration. These investigations may serve as additional tools for the testing of the dopaminergic response.

Training for Micrographia Alters Neural Connectivity in Parkinson's Disease

Despite recent advances in clarifying the neural networks underlying rehabilitation in Parkinson's disease (PD), the impact of prolonged motor learning interventions on brain connectivity in people with PD is currently unknown. Therefore, the objective of this study was to compare cortical network changes after 6 weeks of visually cued handwriting training (= experimental) with a placebo intervention to address micrographia, a common problem in PD. Twenty seven early Parkinson's patients on dopaminergic medication performed a pre-writing task in both the presence and absence of visual cues during behavioral tests and during fMRI. Subsequently, patients were randomized to the experimental (N = 13) or placebo intervention (N = 14) both lasting 6 weeks, after which they underwent the same testing procedure. We used dynamic causal modeling to compare the neural network dynamics in both groups before and after training. Most importantly, intensive writing training propagated connectivity via the left hemispheric visuomotor stream to an increased coupling with the supplementary motor area, not witnessed in the placebo group. Training enhanced communication in the left visuomotor integration system in line with the learned visually steered training. Notably, this pattern was apparent irrespective of the presence of cues, suggesting transfer from cued to uncued handwriting. We conclude that in early PD intensive motor skill learning, which led to clinical improvement, alters cortical network functioning. We showed for the first time in a placebo-controlled design that it remains possible to enhance the drive to the supplementary motor area through motor learning.

Being on Target: Visual Information during Writing Affects Effective Connectivity in Parkinson's Disease

A common motor symptom of Parkinson's disease (PD) is micrographia, characterized by a decrease in writing amplitude. Despite the relevance of this impairment for activities of daily living, the underlying neural network abnormalities and the impact of cueing strategies on brain connectivity are unknown. Therefore, we investigated the effects of visual cues on visuomotor network interactions during handwriting in PD and healthy controls (HCs). Twenty-eight patients with early disease, ON dopaminergic medication, and 14 age-matched controls performed a pre-writing task with and without visual cues in the scanner. Patients displayed weaker right visuo-parietal coupling than controls, suggesting impaired visuomotor integration during writing. Surprisingly, cueing did not have the expected positive effects on writing performance. Patients and controls, however, did activate similar networks during cued and uncued writing. During cued writing, the stronger influence of both visual and motor areas on the left superior parietal lobe suggested that visual cueing induced greater visual steering. In the absence of cues, there was enhanced coupling between parietal and supplementary motor areas (SMA) in line with previous findings in HCs during uncued motor tasks. In conclusion, the present study showed that patients with PD, despite their compromised brain function, were able to shift neural networks similar to controls. However, it seemed that visual cues provided a greater accuracy constraint on handwriting rather than offering unequivocal beneficial effects. Altogether, the results suggest that the effectiveness of using compensatory neural networks through applying external stimuli is task dependent and may compromise motor control during writing.