Results 111 to 120 of about 16,497 (267)
Abstract Objective We investigated the presence and potential functional relevance of antimitochondrial autoantibodies in patients suspicious for autoimmune encephalitis (AIE) associated with psychiatric symptoms and/or seizures, who were negative for known antineuronal autoantibodies.
Annika Breuer +12 more
wiley +1 more source
Abstract Divergent thinking (DT) is an important constituent of creativity that captures aspects of fluency and originality. The literature lacks multivariate studies that report relationships between DT and its aspects with relevant covariates, such as cognitive abilities, personality traits (e.g. openness), and insight. In two multivariate studies (N
S. Weiss +6 more
wiley +1 more source
New insights into epileptic spasm generation and treatment from the TTX animal model
Abstract Currently, we have an incomplete understanding of the mechanisms underlying infantile epileptic spasms syndrome (IESS). However, over the past decade, significant efforts have been made to develop IESS animal models to provide much‐needed mechanistic information for therapy development.
John W. Swann +2 more
wiley +1 more source
Neonatal seizures: Advances in diagnosis and management
Abstract The International League Against Epilepsy (ILAE) created the ILAE Neonatal Task Force that classified neonatal seizures, defined neonatal epilepsy syndromes, and specified treatment guidelines. These frameworks, in addition to improved access to genetic testing and other recent advances, have revolutionized the diagnosis and management of ...
Elissa G. Yozawitz +2 more
wiley +1 more source
The Memory Superiority Effect of Induced Insight in Semantic Versus Perceptual Levels. [PDF]
Zhang Z, Zeng Y, Yu W, Zheng Z.
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Abstract Objectives Temporal lobe epilepsy (TLE) impacts multiple brain networks. Aberrant functional connectivity has been demonstrated in resting‐state networks (RSNs) that mediate higher brain functions in TLE. This study aimed to identify the reproducible patterns of altered functional connectivity in TLE in a large, international cohort through ...
Victoria Ives‐Deliperi +28 more
wiley +1 more source
Letter to the Editor regarding "Minimal important change of the knee injury and osteoarthritis outcome score in patients with mild to moderate knee osteoarthritis - Using three different anchor-based methods". [PDF]
Riddle DL, Dumenci L.
europepmc +1 more source
The Importance of Considering Personal Recovery for Eating Disorders
ABSTRACT Objective Definitions of recovery from eating disorders (EDs) have traditionally emphasised symptom reduction and functional restoration. However, growing research highlights the importance of integrating personal recovery, defined by self‐acceptance, autonomy, and psychological wellbeing.
Andrew Allen +5 more
wiley +1 more source

