Publications by authors named "U Kleinholdermann"
Study protocol of the HessenKohorte2042: a prospective, longitudinal cohort study characterising quality of life in people with Parkinson's disease and their caregivers using a bio-psycho-social approach.
BMJ Open
July 2024
Article Synopsis
- Quality of life (QoL) is crucial for monitoring therapies in Parkinson's disease patients (PwPD) and their caregivers, as both can experience a decline in QoL due to the disease’s varied symptoms and its psychosocial impact.
- A longitudinal study will track 1,000 PwPD and their caregivers over 20 years, assessing QoL through clinical data, self-reports, biospecimens, and MRI scans to better understand the factors influencing QoL.
- The findings aim to enhance diagnostics, prognostics, and therapy adjustments, with results slated for publication in peer-reviewed journals to ensure broad dissemination and impact.
The anatomy of the human piriform cortex (PC) is poorly understood. We used a bimodal connectivity-based-parcellation approach to investigate subregions of the PC and its connectional differentiation from the amygdala. One hundred (55 % female) genetically unrelated subjects from the Human Connectome Project were included.
View Article and Find Full Text PDFBackground: A reduction in stride length is considered a key characteristic of gait kinematics in Parkinson's disease (PD) and has been identified as a predictor of falls. Although low-frequency stimulation (LFS) has been suggested as a method to improve gait characteristics, the underlying structural network is not well understood.
Objective: This study aims to investigate the structural correlates of changes in stride length during LFS (85 Hz).
Background: Mobile gait sensors represent a compelling tool to objectify the severity of symptoms in patients with idiopathic Parkinson's disease (iPD), but also to determine the therapeutic benefit of interventions. In particular, parameters of Deep Brain stimulation (DBS) with its short latency could be accurately assessed using sensor data. This study aimed at gaining insight into gait changes due to different DBS parameters in patients with subthalamic nucleus (STN) DBS.
View Article and Find Full Text PDFBackground: Deep brain stimulation (DBS) parameter fine-tuning after lead implantation is laborious work because of the almost uncountable possible combinations. Patients and practitioners often gain the perception that assistive devices could be beneficial for adjusting settings effectively.
Objective: We aimed at a proof-of-principle study to assess the benefits of noninvasive movement recordings as a means to predict best DBS settings.