Objective: To determine the clinical markers based on cognitive and motor profiles in predicting phenoconverion and phenotype in isolated rapid eye movement sleep behavior disorder (iRBD).
Methods: 45 iRBD patients and 25 healthy controls were included in the follow-up study. All participates received comprehensive evaluations of cognitive, motor and autonomic function at baseline. Positive phenoconversion were identified according to standard diagnostic criteria during follow-up.
Results: 21 iRBD patients displayed phenoconversion in a mean follow-up of 2.9 ± 1.6 years, with 14 presenting motor phenotype and 7 cognitive phenotype. In iRBD, visuospatial, memory, attention-executive function, information processing speed, and motor function predicted phenoconversion, with the combination of Trail Making Test (TMT) and Alternate-tap Test (ATT) performing best (sensitivity = 95.0 %, specificity = 75.0 %); attention-executive function, information processing speed, and motor function predicted motor phenotype conversion, with the combination of TMT and ATT performing best (sensitivity = 100 %, specificity = 66.7 %); visuospatial, memory, and attention-executive function predicted cognitive phenotype conversion, with TMT performing best (sensitivity = 83.3 %, specificity = 91.7 %). Furthermore, individuals with lower z-scores of TMT, Symbol Digit Modalities Test, and ATT than the established cutoff values in iRBD exhibited a significantly higher risk for phenoconversion at follow-up (HR = 2.98, 9.53, 11.68; respectively).
Conclusions: In iRBD, the attention-executive and motor function served as optimum combined markers in predicting phenoconversion and motor phenotype, whereas the attention-executive function performed best in predicting cognitive phenotype. Poor attention-executive function, information processing speed and motor function in iRBD independently increased the risk of phenoconversion.
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http://dx.doi.org/10.1016/j.sleep.2023.10.027 | DOI Listing |
Ageing Res Rev
January 2025
Department of Dynamic and Clinical Psychology and Health, University of Rome "Sapienza", 00185 Rome, Italy. Electronic address:
Mild behavioral impairment (MBI) represents a recently introduced diagnostic concept that focuses on behavioral and personality changes occurring in late life and associated with cognitive decline. Nevertheless, the relationship between these dimensions remains unclear. This systematic review and meta-analysis aim to analyze the relationship between MBI and cognitive functioning.
View Article and Find Full Text PDFAnn Clin Transl Neurol
January 2025
NEUROFARBA Department, Neurosciences Section, University of Florence, Florence, Italy.
Objectives: We aim to investigate cognitive phenotype distribution and MRI correlates across pediatric-, elderly-, and adult-onset MS patients as a function of disease duration.
Methods: In this cross-sectional study, we enrolled 1262 MS patients and 238 healthy controls, with neurological and cognitive assessments. A subset of 222 MS patients and 92 controls underwent 3T-MRI scan for brain atrophy and lesion analysis.
Brain Sci
December 2024
Institute of Neurology, University Magna Graecia, 88100 Catanzaro, Italy.
Purpose: Cognitive dysfunctions are still very common in the chronic phase of stroke when patients are discharged from neurorehabilitation centers. Even individuals who appear to have made a full clinical recovery may exhibit new deficiencies at home. Here, we present evidence of a novel kind of therapy at home aimed at contrasting the heterogenic evolution of stroke patients using a multidomain cognitive approach.
View Article and Find Full Text PDFHum Brain Mapp
February 2025
Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, Groningen, The Netherlands.
Cognitive impairment is considered to be one of the key features of Parkinson's disease (PD), ultimately resulting in PD-related dementia in approximately 80% of patients over the course of the disease. Several distinct cognitive syndromes of PD have been suggested, driven by different neurotransmitter deficiencies and thus requiring different treatment regimes. In this study, we aimed to identify characteristic brain covariance patterns that reveal how cholinergic denervation is related to PD and to cognitive impairment, focusing on four domains, including attention, executive functioning, memory, and visuospatial cognition.
View Article and Find Full Text PDFJ Int Neuropsychol Soc
January 2025
UMass Chan Medical School, Department of Psychiatry, Worcester, MA, USA.
Objective: Mean levels of cognitive functioning typically do not show an association with self-reported cognitive fatigue in persons with multiple sclerosis (PwMS), but some studies indicate that has an association with cognitive fatigue. Additionally, coping has been shown to be a powerful moderator of some outcomes in multiple sclerosis (MS). To date, however, coping has not been considered as a possible moderator of the relationship between cognitive fatigue and cognitive in MS.
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