Detecting awareness after acute brain injury.

Advances over the past two decades in functional neuroimaging have provided new diagnostic and prognostic tools for patients with severe brain injury. Some of the most pertinent developments in this area involve the assessment of residual brain function in patients in the intensive care unit during the acute phase of severe injury, when they are at their most vulnerable and prognosis is uncertain. Advanced neuroimaging techniques, such as functional MRI and EEG, have now been used to identify preserved cognitive processing, including covert conscious awareness, and to relate them to outcome in patients who are behaviourally unresponsive.

Neural Reinforcement Learning Signals Predict Recovery From Impulse Control Disorder Symptoms in Parkinson's Disease.

Background: Impulse control disorders (ICDs) in Parkinson's disease are associated with a heavy burden on patients and caretakers. While recovery can occur, ICDs persist in many patients despite optimal management. The basis for this interindividual variability in recovery is unclear and poses a major challenge to personalized health care.

Unmet Need in Early-Onset Parkinson's Disease: Deep Brain Stimulation and Pregnancy.

Pregnancy in women with early-onset Parkinson's disease (PD) is likely to have a higher frequency given the trend toward increasing maternal age, thus resulting in a greater overlap time between childbearing age and PD risk. Deep brain stimulation (DBS) therapy is nowadays offered to PD patients at earlier stage of the disease, when women can still be pre-menopausal. However, few data are available about DBS safety during pregnancy.

Digital biomarkers for non-motor symptoms in Parkinson's disease: the state of the art.

Digital biomarkers that remotely monitor symptoms have the potential to revolutionize outcome assessments in future disease-modifying trials in Parkinson's disease (PD), by allowing objective and recurrent measurement of symptoms and signs collected in the participant's own living environment. This biomarker field is developing rapidly for assessing the motor features of PD, but the non-motor domain lags behind. Here, we systematically review and assess digital biomarkers under development for measuring non-motor symptoms of PD.

Cross-cultural comparison of beauty judgments in visual art using machine learning analysis of art attribute predictors among Japanese and German speakers.

In empirical art research, understanding how viewers judge visual artworks as beautiful is often explored through the study of attributes-specific inherent characteristics or artwork features such as color, complexity, and emotional expressiveness. These attributes form the basis for subjective evaluations, including the judgment of beauty. Building on this conceptual framework, our study examines the beauty judgments of 54 Western artworks made by native Japanese and German speakers, utilizing an extreme randomized trees model-a data-driven machine learning approach-to investigate cross-cultural differences in evaluation behavior.

The value of consciousness coaching in Parkinson's disease: Experiences and possible impact of holistic coaching.

Background: People with a chronic condition such as Parkinson's disease (PD) struggle with acceptance and finding meaning in life. Consciousness coaching could be a valuable addition in addressing these issues.

Objective: We aim to evaluate the user experiences and potential effectiveness of consciousness coaching for people with PD (PwPD).

Determinants influencing the implementation of multifactorial falls risk assessment and multidomain interventions in community- dwelling older people: a systematic review.

Background: Multifactorial falls risk assessment and multidomain interventions are recommended by the World guidelines for falls prevention and management. To successfully implement these interventions, it is important to understand determinants influencing the implementation.

Methods: A literature search was conducted for this systematic review on the 3 December 2021 and updated on the 3 April 2023 in five databases: PubMed (including MEDLINE), EMBASE (via Embase.

Natural Health Products for Symptomatic Relief of Parkinson's Disease: Prevalence, Interest, and Awareness.

Background: Natural health products have emerged as a potential symptomatic therapeutic approach for people with Parkinson's disease (PD).

Objective: To determine the prevalence of natural health product use, interest in natural health products, awareness of potential herb-drug interactions, and consultation of healthcare professionals regarding natural health products use among people with PD.

Methods: Cross-sectional 4-item survey embedded in the PRIME-NL study, which is a population-based cohort of PD.

Effects of dual-task interference on dexterity performance in people with mild to moderately severe Parkinson's disease: An observational analysis.

Background: Debilitating problems with hand function experienced by people with Parkinson's disease (PD) can worsen during multitasking.

Purpose: To investigate the effects of dual-task interference on a pegboard task in people with mild to moderately severe PD.

Study Design: Descriptive analysis.

Randomized controlled trial of intermittent hypoxia in Parkinson's disease: study rationale and protocol.

Background: Parkinson's disease (PD) is a neurodegenerative disease for which no disease-modifying therapies exist. Preclinical and clinical evidence suggest that repeated exposure to intermittent hypoxia might have short- and long-term benefits in PD. In a previous exploratory phase I trial, we demonstrated that in-clinic intermittent hypoxia exposure is safe and feasible with short-term symptomatic effects on PD symptoms.

Remotely prescribed, monitored, and tailored home-based gait-and-balance exergaming using augmented reality glasses: a clinical feasibility study in people with Parkinson's disease.

Background: Exergaming has the potential to increase adherence to exercise through play, individually tailored training, and (online) remote monitoring. Reality Digital Therapeutics (Reality DTx) is a digital therapeutic software platform for augmented reality (AR) glasses that enables a home-based gait-and-balance exergaming intervention specifically designed for people with Parkinson's disease (pwPD).

Objective: The primary objective was to evaluate the feasibility and potential efficacy of Reality DTx AR exergaming intervention for improving gait, balance, and walking-adaptability fall-risk indicators.

Unveiling the invisible: a qualitative interview study on the impact of young onset Parkinson's disease on (ex-partners).

Introduction: Living with young onset Parkinson's disease (YOPD) not only affects the persons with YOPD, but also their families. Although caregiver burden has been researched in Parkinson's disease in general, little is known about the specific impact of having an (ex-)partner with YOPD. This exploratory study aimed to explore the impact of having an (ex-)partner with YOPD on daily life.

Guide to Decomposition of Causal Effects Into Mediation, Interaction, and Direct Effects: Case Study on Aerobic Exercise and Parkinson Disease.

Mediation analysis can be applied in medical research with the aim of understanding the pathways that operate between an exposure and its effects on an outcome. This method can help to improve our understanding of pathophysiologic mechanisms and may guide the choice of potential treatment strategies. Traditional mediation analysis decomposes the total effect of an intervention on the outcome into 2 effects: (1) an indirect effect, from exposure using a mediator to the outcome, and (2) a direct effect, directly from exposure to outcome.

Assessing the validity of a Parkinson's care evaluation: the PRIME-NL study.

Introduction: The PRIME-NL study prospectively evaluates a new integrated and personalized care model for people with parkinsonism, including Parkinson's disease, in a selected region (PRIME) in the Netherlands. We address the generalizability and sources of selection and confounding bias of the PRIME-NL study by examining baseline and 1-year compliance data.

Methods: First, we assessed regional baseline differences between the PRIME and the usual care (UC) region using healthcare claims data of almost all people with Parkinson's disease in the Netherlands (the source population).

If Art Were a Drug: Implications for Parkinson's Disease.

Parkinson's disease (PD) is a chronic and complex neurodegenerative disorder. Conventional pharmacological or surgical therapies alone are often insufficient at adequately alleviating disability. Moreover, there is an increasing shift toward person-centered care, emphasizing the concept of "living well".

A 360° View for Large Language Models: Early Detection of Amblyopia in Children using Multi-View Eye Movement Recordings.

Amblyopia is a neurodevelopmental visual disorder that affects approximately 3-5% of children globally and it can lead to vision loss if it is not diagnosed and treated early. Traditional diagnostic methods, which rely on subjective assessments and expert interpretation of eye movement recordings presents challenges in resource-limited eye care centers. This study introduces a new approach that integrates the Gemini large language model (LLM) with eye-tracking data to develop a classification tool for diagnosis of patients with amblyopia.

Applications of magnetic resonance spectroscopy in diagnosis of neurodegenerative diseases: A systematic review.

Background: Magnetic resonance spectroscopy (MRS) is an imaging technique used to measure metabolic changes in the tissue. Due to the lack of evidence, MRS is not a priority in diagnosing neurodegenerative diseases because it is a relatively specialized technique that requires specialized equipment and expertise to perform and interpret. This systematic review aimed to present a comprehensive collection of MRS results in the most common neurodegenerative diseases.

Measuring Physical Functioning Using Wearable Sensors in Parkinson Disease and Chronic Obstructive Pulmonary Disease (the Accuracy of Digital Assessment of Performance Trial Study): Protocol for a Prospective Observational Study.

Background: Physical capacity and physical activity are important aspects of physical functioning and quality of life in people with a chronic disease such as Parkinson disease (PD) or chronic obstructive pulmonary disease (COPD). Both physical capacity and physical activity are currently measured in the clinic using standardized questionnaires and tests, such as the 6-minute walk test (6MWT) and the Timed Up and Go test (TUG). However, relying only on in-clinic tests is suboptimal since they offer limited information on how a person functions in daily life and how functioning fluctuates throughout the day.

Study protocol of the GRoningen early-PD Ambroxol treatment (GREAT) trial: a randomized, double-blind, placebo-controlled, single center trial with ambroxol in Parkinson patients with a GBA mutation.

Background: To date, no disease modifying therapies are available for Parkinson's disease (PD). Since PD is the second most prevalent neurodegenerative disorder, there is a high demand for such therapies. Both environmental and genetic risk factors play an important role in the etiology and progression of PD.

Periodontitis: A Plausible Modifiable Risk Factor for Neurodegenerative Diseases? A Comprehensive Review.

The aim of this comprehensive review is to summarize recent literature on associations between periodontitis and neurodegenerative diseases, explore the bidirectionality and provide insights into the plausible pathogenesis. For this purpose, systematic reviews and meta-analyses from PubMed, Medline and EMBASE were considered. Out of 33 retrieved papers, 6 articles complying with the inclusion criteria were selected and discussed.