Publications by authors named "A Giugno"
Background: Fatigue is a common non-motor symptom (NMS) in Parkinson's disease (PD), affecting up to 50% of patients. It is suggested that PD-related fatigue may contribute to the burden perceived by caregivers.
Objective: This study aims to evaluate the impact of PD-related fatigue on caregiver burden.
Objective: The aim of this study is to analyze hypothalamic changes and clinical/metabolic correlates with a radiomic approach in Amyotrophic Lateral Sclerosis (ALS).
Methods: We retrospectively identified 54 sporadic ALS patients and 53 matched controls. We compared radiomics features over hypothalamic subunits in T1-weighted.
Background: The frequent presentation of Alzheimer's disease (AD) with neuropsychiatric symptoms (NPS) in the context of normal or minimally-impaired cognitive function led to the concept of Mild Behavioral Impairment (MBI). While MBI's impact on subsequent cognitive decline is recognized, its association with brain network changes in biologically-defined AD remains unexplored.
Objective: To investigate the correlation of structural covariance networks with MBI-C checklist sub-scores in biologically-defined AD patients.
We aim to understand whether tremor may be an intrinsic feature of juvenile myoclonic epilepsy (JME) and whether individuals with JME plus tremor experience a different disease course. Thirty-one individuals with JME plus tremor (17 females, mean age = 33.9 ± 13.
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- Actigraphy is being evaluated for its accuracy in measuring sleep compared to polysomnography (PSG) in patients with behavioral variant frontotemporal dementia (bvFTD), a type of early-onset dementia.
- Eighteen patients underwent overnight PSG while also wearing actigraphy devices; results showed that both Cole-Kripke and UCSD algorithms overestimated total sleep time and sleep efficiency while underestimating wake after sleep onset (WASO).
- The analysis indicated that while the accuracy of actigraphy with these algorithms was reasonably high (around 84-85%), significant biases exist that researchers and clinicians must address when using this method for sleep assessment in bvFTD patients.