1. Smooth pursuit and memory saccades are impaired in early-stage Parkinson’s disease patientsZvonimir Popović, Tihana Gilman Kurić, Ines Rajkovača Latić, Sara Matosa, Luka Kusic, Andrea De Gobbis, Aleksander Sadikov, Vida Groznik, Dejan Georgiev, Svetlana Tomić, 2026, original scientific article Abstract: Introduction: Parkinson’s disease (PD) is a progressive neurodegenerative disease caused by degeneration of dopaminergic neurons in substantia nigra pars compacta (SNc). One of the most prevalent symptoms is eye movement impairment, presenting in 75% of PD patients, which have fragmented and hypometric smooth pursuit movements with prolonged latency. We aimed to investigate differences in smooth pursuit, reflexive, and memory-guided saccades and antisaccades between patients with early-stage PD and healthy controls.Methods: We conducted a cross-sectional study with idiopathic PD patients in early stage of disease (Hoehn and Yahr stage 0, 1 and 2) and healthy controls. The impairment of smooth pursuit, saccades, antisaccades, and memory-guided saccades was evaluated with eye-tracker analysis using a battery of tests.Results: Forty-two subjects with early-stage idiopathic PD and 50 healthy controls participated in the study. There were no statistically significant differences in age, gender, years of education, or cognition between the groups. Early-stage PD patients showed impairment in velocity, phase, and range of motion of smooth pursuit eye movements, as well as impaired precision and recollection performing visually guided memory saccades. Consequently, there is also a reading dysfunction, with slower reading speed and longer eye fixations. No significant differences were found regarding reflexive saccades and antisaccades between these two groups.Conclusion: Results suggest that impaired smooth pursuit movements, memory-guided saccades and reading functions are present in early-stage PD, even without other expressed motor symptoms. These findings could potentially contribute to the development of new and non-invasive diagnostic biomarkers in PD. Keywords: biomarkers, early-stage, eye movements, Parkinson's disease, smooth pursuit Published in DiRROS: 27.01.2026; Views: 113; Downloads: 65
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2. The role of blood-based biomarkers in Parkinsonian disorders, Alzheimer’s disease and frontotemporal dementiaMarta Campagnolo, Eleonora Fiorenzato, Giulia Musso, Valentina Misenti, Simone Cauzzo, Annachiara Cagnin, Roberta Binudo, Cinzia Bussè, Carmelo Alessandro Fogliano, Stefano Mozzetta, Marco Vincenzo Narici, 2025, original scientific article Abstract: The complexity of neurodegenerative disorders necessitates an integrative approach that incorporates morphological, functional, and molecular biomarkers. The advent of highly sensitive single-molecule array (Simoa®) assays has significantly enhanced the accuracy of blood-based biomarker quantification, including glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), and phosphorylated tau181 (p-tau181). This study evaluates the diagnostic utility of these biomarkers in neurodegenerative diseases. We analyzed data from 279 individuals from the PADUA-CESNE cohort: 120 with Parkinson's disease (PD), 88 with Alzheimer's disease (AD), 16 with frontotemporal dementia (FTD), 11 with multiple system atrophy (MSA), 14 with progressive supranuclear palsy (PSP), and 30 cognitively unimpaired controls. NfL levels were significantly lower in PD and AD compared to atypical parkinsonisms and FTD, effectively distinguishing MSA and PSP from controls. NfL also negatively correlated with Montreal Cognitive Assessment (MoCA) scores in AD and PD, indicating its association with cognitive decline. Elevated GFAP levels were observed in both PD and AD and inversely correlated with global cognition. Combining GFAP and p-tau181 improved AD differentiation from PD and other parkinsonian disorders, while the integration of all three biomarkers facilitated the distinction between AD and FTD. Notably, lower NfL levels (<20 ng/L) in conjunction with elevated p-tau181 were indicative of AD, whereas NfL levels below 40 ng/L were suggestive of PD. In conclusion, NfL serves as a sensitive indicator of neurodegeneration, albeit with limited specificity. However, by establishing biomarker concentration thresholds and integrating complementary biomarkers, blood-based assays may enhance the differential diagnosis of neurodegenerative diseases, providing valuable clinical insights. Keywords: blood-based biomarkers, glial fibrillary acidic protein (GFAB), neurodegenerative diseases, Neurofilament light chain (NfL), Parkinson’s disease, Phosphorylated tau181 (p-tau181) Published in DiRROS: 13.01.2026; Views: 156; Downloads: 85
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3. Subjective well-being and its predictors in Parkinson's disease and dystonia : a comparative studySuzette Shahmoon, Dejan Georgiev, Paul Jarman, Kailash P. Bhatia, Patricia Limousin, Marjan Jahanshahi, 2025, original scientific article Abstract: Background: Quality of life (QoL) is a commonly used outcome measure in people with chronicneurological diseases (CND). As valuable as QoL is, it does not take into account aspects of subjective well-being (SWB) such as subjective happiness, meaning in life, life satisfaction and hope; all constructs that areconsidered central to well-being.ObjectivesObjectives: The goal was to assess how the different aspects of SWB are altered in Parkinson’s disease(PD) and dystonia relative to healthy controls (HCs) and to identify the most important predictors of differentdimensions of SWB in PD and dystonia.MethodsMethods: Eighty-two people with PD, 63 with dystonia, and 50 HCs were surveyed using various measuresof SWB.ResultsResults: People with PD and dystonia had significantly lower satisfaction with life than HCs, with self-esteemand loneliness being significant covariates. Although people with PD and dystonia had significantly lessmeaning in life, they still sought meaning in life as much as HCs. Self-esteem, resilience and neuroticism weresignificant covariates for the presence of “meaning in life.” There were no significant group differences insubjective happiness or hope. In people with PD, mood (depression and anxiety), personality traits (extraversionand self-esteem), disease duration, and pain/discomfort were significant predictors of various measures ofSWB. The main significant predictor of SWB in dystonia was depression, which predicted 49% of the variance insubjective happiness.ConclusionsConclusions: These results emphasize the importance of SWB as a field of investigation and clinical care in themanagement of people with PD and dystonia Keywords: dystonia, Parkinson's disease, positive psychology, self-esteem, subjective well-being Published in DiRROS: 10.12.2025; Views: 822; Downloads: 132
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4. Predictors of loneliness in Parkinson's disease and craniocervical dystoniaSuzette Shahmoon, Dejan Georgiev, Paul Jarman, Kailash P. Bhatia, Patricia Limousin, Marjan Jahanshahi, 2025, original scientific article Abstract: Background Loneliness is a state in which an individual feels socially isolated due to deficiencies in the quantity or quality of social relationships and interaction. To date very little is known about loneliness in Parkinson's disease (PD) and focal/segmental craniocervical dystonia (FSCD). Objectives To explore whether level of loneliness is disease-specific by comparing PD, FCSD and healthy controls (HCs), and to define predictors of loneliness in both PD and FSCD. Methods Eighty-two people with PD, 63 people with FSCD and 50 HC were surveyed. The UCLA Loneliness Scale was used to assess loneliness. Various non-motor symptoms, psychosocial variables and measures of subjective well-being were assessed and used as potential predictors of loneliness. Results There was no significant difference in reported levels of loneliness between people with PD and matched HCs, and between people with PD and people with FSCD, but people with FSCD reported higher levels of loneliness than HCs (p = 0.018). Perceived stigma predicted loneliness in both disease groups (p < 0.001). Additionally, non-motor symptoms (p = 0.006), lack of optimism (p = 0.015) and practical social support (p = 0.006) predicted loneliness in people with PD. Patients with PD and FSCD with higher perceived stigma levels felt lonelier (p < 0.001), as did female patients with PD (p = 0.004), younger patients with FSCD (p = 0.007) and older patients with PD (p = 0.023). Conclusions We identified important predictors of loneliness in PD and FSCD. The identified age- and gender-specific differences in loneliness in people with PD and FSCD contribute to our better understanding of this complex and not yet fully understood concept. Keywords: loneliness, Parkinson's disease, focal/segmental craniocervical dystonia, optimism and stigma Published in DiRROS: 04.12.2025; Views: 407; Downloads: 127
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5. Long-term effect and reasons for switching and combining device-aided therapies in Parkinson’s DiseaseDejan Georgiev, Maja Trošt, 2025, review article Abstract: Introduction. In the advanced stages of Parkinson’s disease (PD), when standard drug adjustments fail to sufficiently improve patients’ quality of life, device-aided therapies (DATs) such as deep brain stimulation (DBS), continuous subcutaneous apomorphine infusion (CSAI), levodopa-carbidopa intestinal gel infusion (LCIG), levodopa-carbidopa-entacapone intestinal gel infusion, or continuous subcutaneous foslevodoa-foscarbidopa infusion are beneficial in the long run. However, sometimes patients need to switch or combine DATs due to either adverse events or loss of efficacy. Aim of study. The aim of this article was to summarise the existing data on the long-term efficacy and adverse events of DATs, and to review the data on the rationale and efficacy for switching or combining DATs in advanced PD. State of the art. A total of 50 studies on the long-term efficacy of DBS (N = 28), LCIG (N = 12), CSAI (N = 10) and 13 studies on switching and combining DATs were included in this review. Although the DATs show a favourable long-term effect on the main motor and non-motor symptoms of PD they all feature specific adverse events that need to be considered when deciding which DAT to offer to a particular patient. Occasionally, switching or combining DATs is recommended, e.g. if the first DAT shows inadequate symptom control, or due to adverse events. The choice of the second DAT depends above all on the main problems of the first DAT being correctly recognised. Clinical implications. DATs are a safe and long-term effective option for the treatment of advanced PD. Switching and/or combining DATs is recommended for patients in whom the first treatment option is not optimal. Future directions. Future studies are warranted to address the unresolved issues related to long-term efficacy, side effect profile and switching and combination of DATs in multicentric studies and using advanced analytical approaches such as machine learning. Keywords: advanced Parkinson’s Disease, device-aided therapies, long-term effect of device-aided therapies Published in DiRROS: 02.12.2025; Views: 476; Downloads: 121
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6. The effect of serotonin reuptake and serotonin-noradrenaline reuptake inhibitors on motor symptoms in Parkinson’s disease : a PPMI-based matched-subject studyTeodora Matić, Martijn Hendriks, Ruben Saman Vinke, Aleksander Sadikov, Dejan Georgiev, 2024, original scientific article Abstract: Background: Depression often co-occurs with Parkinson’s disease (PD) and is effectively treated with selective serotonin reuptake inhibitors (SSRI) and serotonin and noradrenaline reuptake inhibitors (SNRI), but their effect on motor symptoms has not yet been conclusively demonstrated. Objective: To assess the impact of the SSRI/SNRI on the motor symptoms of PD. Methods: We used data from the Parkinson’s Progression Markers Initiative database, in a matched subject design with a target group (N =47) which had been taking SSRI/SNRI medication and a control group (N =90) which had not. Matching criteria included Movement Disorders Society Unified Parkinson’s Disease Rating Scale part III (MDS-UPDRS-III) total score and its subscales’ scores, and levodopa equivalent daily dose (LEDD) at the time of the first examination (initial LEDD). For the target group, we compared the MDS-UPDRS-III score before and after taking the SSRI/SNRI medication, while for the control group we compared two equally spaced examinations. Results: In the target group, we found a greater worsening of motor scores, which was associated with lower values of initial LEDD. In addition, apathy was an independent predictor of motor worsening. Conclusions: SSRI/SNRI-use seems to be characterized by a steeper worsening of motor symptoms, which can be predicted by a lower initial LEDD. Further research should continue to investigate the effect of SSRI/SNRI-use on motor symptoms in PD. Keywords: Parkinson’s disease, serotonin/noradrenaline reuptake inhibitors, depression Published in DiRROS: 28.11.2025; Views: 764; Downloads: 133
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7. The usefulness of wearable sensors for detecting freezing of gait in Parkinson’s disease : a systematic reviewMatic Gregorčič, Dejan Georgiev, 2025, review article Abstract: Background: Freezing of gait (FoG) is one of the most debilitating motor symptoms in Parkinson’s disease (PD). It often leads to falls and reduces quality of life due to the risk of injury and loss of independence. Several types of wearable sensors have emerged as promising tools for the detection of FoG in clinical and real-life settings. Objective: The main objective of this systematic review was to critically evaluate the current usability of wearable sensor technologies for FoG detection in PD patients. The focus of the study is on sensor types, sensor combinations, placement on the body and the applications of such detection systems in a naturalistic environment. Methods: PubMed, IEEE Explore and ACM digital library were searched using a search string of Boolean operators that yielded 328 results, which were screened by title and abstract. After the screening process, 43 articles were included in the review. In addition to the year of publication, authorship and demographic data, sensor types and combinations, sensor locations, ON/OFF medication states of patients, gait tasks, performance metrics and algorithms used to process the data were extracted and analyzed. Results: The number of patients in the reviewed studies ranged from a single PD patient to 205 PD patients, and just over 65% of studies have solely focused on FoG + PD patients. The accelerometer was identified as the most frequently utilized wearable sensor, appearing in more than 90% of studies, often in combination with gyroscopes (25.5%) or gyroscopes and magnetometers (20.9%). The best overall sensor configuration reported was the accelerometer and gyroscope setup, achieving nearly 100% sensitivity and specificity for FoG detection. The most common sensor placement sites on the body were the waist, ankles, shanks and feet, but the current literature lacks the overall standardization of optimum sensor locations. Real-life context for FoG detection was the focus of only nine studies that reported promising results but much less consistent performance due to increased signal noise and unexpected patient activity. Conclusions: Current accelerometer-based FoG detection systems along with adaptive machine learning algorithms can reliably and consistently detect FoG in PD patients in controlled laboratory environments. The transition of detection systems towards a natural environment, however, remains a challenge to be explored. The development of standardized sensor placement guidelines along with robust and adaptive FoG detection systems that can maintain accuracy in a real-life environment would significantly improve the usefulness of these systems. Keywords: Parkinson’s disease, wearable sensors, freezing of gait, symptoms Published in DiRROS: 24.11.2025; Views: 614; Downloads: 146
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9. Neurophysiological underpinnings of balance control and cognitive-motor interaction in early Parkinson’s diseaseManca Peskar, Paolo Manganotti, Uroš Marušič, Klaus Gramann, 2025, original scientific article Abstract: People with Parkinson’s Disease (PD) often compensate for impaired automatic balance control by engaging additional attentional resources for motor tasks. With disease progression, their cognitive system too becomes increasingly affected, further impairing postural stability. The interaction between cognitive and motor systems in the early disease stages, however, remains poorly investigated. The present study aimed to elucidate behavioral and neurophysiological changes in early-stage PD to identify with greater accuracy the specific disease-related discrepancies from healthy functioning on both cognitive and motor systems. Eighteen participants with PD (aged 62.9±6.6 years) and 18 healthy matched controls (aged 62.9±6.4 years) performed (i) a balancing single task in a semi-tandem stance (ST-sts), (ii) a single visual oddball task with conflicting Stroop color-word stimuli (ST-Stroop), and (iii) a dual-task (DT) combining the two single tasks. Centre of pressure displacement using a force plate and 128-channel electroencephalography (EEG) were recorded. Participants with PD exhibited reduced postural sway compared to controls, and postural sway was lower in DT as opposed to ST. Reduced sway in PD might be attributed to postural rigidity and tonic muscle activation, while in the DT, it might reflect resource conflicts. EEG analyses indicated distinct spectral activity patterns: the central midline low-frequency (δ, θ) power increased with cognitive load, centroparietal β desynchronization intensified with motor load, and parietal α desynchronization heightened during DT in both PD and control groups, underscoring specific frequency bands’ governing roles in cognitivemotor processing. Furthermore, PD participants exhibited heightened or prolonged responses in ERP components related to working memory (frontocentral P2) and conflict resolution (P300), possibly reflecting compensatory neural strategies. Overall, these findings suggest that cognitive capacities, particularly selective attention, might be more affected than sensory acuity in early PD, highlighting areas for targeted interventions. Keywords: EEG, semi-tandem stance, COP (Center of pressure), Parkinson's disease, cognitive-motor dual-tasking Published in DiRROS: 08.09.2025; Views: 370; Downloads: 175
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10. Exploring the impact of electroencephalography-based neurofeedback (EEG NFB) on motor deficits in Parkinson’s disease : a targeted literature reviewLaura Blaznik, Uroš Marušič, 2025, review article Abstract: Parkinson’s disease (PD) is a progressive neurodegenerative disorder, with pharmacological treatments predominantly focusing on dopaminergic therapies. In the early stages of PD, symptoms may also be alleviated through non-pharmacological interventions. One such non-invasive technique is electroencephalogram neurofeedback (EEG NFB), which has shown promising results in improving the cognitive and motor functions of PD patients. The aim of our study was to assess the existing evidence, identify key trends and determine potential opportunities for future research in the field of EEG NFB for PD. This analysis explores the impact of EEG NFB on motor deficits in PD and identifies key factors for the successful implementation of EEG NFB as evidenced in the literature. The synthesis includes findings from five relevant studies, including one case study, one pilot study and three randomized controlled trials. Study selection followed the PICO framework to ensure relevance and rigor. The results suggest a correlation between sensorimotor rhythm (SMR) and beta rhythms, with increases in SMR (13–15 Hz) and beta (12–15 Hz) rhythms linked to improvements in balance, mobility and stability in PD patients. However, limitations such as small sample sizes, brief intervention durations and lack of follow-up warrant a cautious interpretation. Future research should prioritize robust protocols, larger samples and extended neurofeedback training to fully assess EEG NFB’s potential for PD management. Keywords: Parkinson's disease, motor deficits, biofeedback, neurofeedback, electroencephalography Published in DiRROS: 27.02.2025; Views: 847; Downloads: 432
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