Results 61 to 70 of about 2,892 (186)
Abstract Objective This systematic review synthesizes evidence on multimodal machine learning (ML) decision support systems for epilepsy surgery focusing on postsurgical outcome prediction, with emphasis on methodological quality and implications for clinical practice.
Mattia Mercier +2 more
wiley +1 more source
Abstract Objective This study was undertaken to determine whether bilateral independent or unclear (BI/U) scalp electroencephalographic (EEG) ictal onset patterns may predict the diagnostic yield of stereo‐electroencephalography (SEEG) and inform surgical decision‐making in patients with focal drug‐resistant epilepsy.
Aayesha J. Soni +16 more
wiley +1 more source
Abstract Artificial intelligence (AI) and machine learning (ML) algorithms are revolutionising the world, and they have the potential to revolutionise neuropsychology as well. A particularly fruitful field for this revolution is the cognitive assessment of neurodegenerative disorders, such as Alzheimer's disease, Parkinson's disease, Mild Cognitive ...
Michele Scandola +3 more
wiley +1 more source
Abstract Reassessments with the Rey Auditory Verbal Learning Test (RAVLT) may generate learning effects, compromising the validity of the results. In Brazil, there are still no comparative studies between adapted versions of the test in healthy individuals.
Luiza Cury Muller +3 more
wiley +1 more source
Sleep in Functional Motor Disorders: A Case–Control Polysomnographic Study
ABSTRACT Sleep problems are frequent in functional motor disorders (FMDs). Surprisingly, objective correlates of impaired sleep and its relationship to other comorbidities have been understudied, and no polysomnographic study is available. We aimed to map the polysomnographic parameters in the context of self‐reported sleep and mood symptoms and search
Jiří Nepožitek +10 more
wiley +1 more source
Sleep Deprivation in Mice: Looking Beyond the Slow Wave Rebound
ABSTRACT Sleep is a fundamental process supporting the dynamic regulation of neural function. Emerging methods have proposed that the aperiodic components of brain signals (such as the spectral slope, spectral intercept, and spectral knee), in addition to entropy‐based measures, offer robust empirical markers of neural states.
Tárek Zoltán Magyar +2 more
wiley +1 more source
ABSTRACT Slow waves and sleep spindles characterise non‐rapid eye movement (NREM) sleep and support cognitive and plasticity‐related functions. While their stability across nights is well established, less is known about their consistency across daytime naps.
Damiana Bergamo +3 more
wiley +1 more source
Abstract As people age, there is a natural decline in cognitive functioning and brain structure. However, the relationship between brain function and cognition in older adults is neither straightforward nor uniform. Instead, it is complex, influenced by multiple factors, and can vary considerably from one person to another.
Monica Baciu, Elise Roger
wiley +1 more source
Abstract Predictive processing is an influential theoretical framework for understanding human and animal cognition. In the context of predictive processing, learning is often reduced to optimizing the parameters of a generative model with a predefined structure. This is known as Bayesian parameter learning.
Philippe Servajean, Wanja Wiese
wiley +1 more source
Aging and the Division of Labor of Theory of Mind Skills in Metaphor Comprehension
Abstract While some aspects of pragmatic competence are known to decline with age, for metaphor skills the evidence is inconclusive, possibly due to heterogeneity in the assessment tools. Furthermore, the previous literature on age‐related changes in pragmatic skills has rarely considered the role of Theory of Mind (ToM), which is described as one of ...
Irene Ceccato +6 more
wiley +1 more source

