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Efficient visual word recognition presumably relies on orthographic prediction error (oPE) representations. On the basis of a transparent neurocognitive computational model rooted in the principles of the predictive coding framework, we postulated that readers optimize their percept by removing redundant visual signals, allowing them to focus on the informative aspects of the sensory input (i.e.
View Article and Find Full Text PDFEpilepsy Stands Nearby: A Pilot CT Perfusion Study on Post-Stroke Non-Convulsive Status Epilepticus.
Eur J Neurol
February 2025
IRCCS Istituto delle Scienze Neurologiche di Bologna, Department of Neurology and Stroke Center, Maggiore Hospital, Bologna, Italy.
Background: To investigate the relevance of hyperperfusion on computerised perfusion imaging (CTP) in the emergency setting in people with non-convulsive status epilepticus (NCSE) and previous stroke, to derive relevant aspects on the epileptogenic focus and the network recruited for NCSE propagation.
Methods: We enrolled consecutive adult patients with acute-onset NCSE and a previous stroke at a single institution undergoing CTP and EEG during symptoms. All patients underwent standard imaging including CT, CTP, CT angiograms and standard EEG within 30 min from hospital arrival.
Revisiting the electrophysiological correlates of valence and expectancy in reward processing - A multi-lab replication.
Cortex
January 2025
Department of Experimental Clinical & Health Psychology, Ghent University, Ghent, Belgium.
Two event-related brain potential (ERP) components, the frontocentral feedback-related negativity (FRN) and the posterior P300, are key in feedback processing. The FRN typically exhibits greater amplitude in response to negative and unexpected outcomes, whereas the P300 is generally more pronounced for positive outcomes. In an influential ERP study, Hajcak et al.
View Article and Find Full Text PDFHuman-Centric Spatial Cognition Detecting System Based on Drivers' Electroencephalogram Signals for Autonomous Driving.
Sensors (Basel)
January 2025
School of Automation, Beijing Institute of Technology, Beijing 100081, China.
Existing autonomous driving systems face challenges in accurately capturing drivers' cognitive states, often resulting in decisions misaligned with drivers' intentions. To address this limitation, this study introduces a pioneering human-centric spatial cognition detecting system based on drivers' electroencephalogram (EEG) signals. Unlike conventional EEG-based systems that focus on intention recognition or hazard perception, the proposed system can further extract drivers' spatial cognition across two dimensions: relative distance and relative orientation.
View Article and Find Full Text PDFEEG Responses to Upper Limb Pinprick Stimulation in Acute and Early Subacute Motor and Sensorimotor Stroke: A Proof of Concept.
Transl Stroke Res
January 2025
Department of Rehabilitation Sciences, KU Leuven, B-3001, Leuven, Belgium.
Electroencephalogram (EEG) during pinprick stimulation has the potential to unveil neural mechanisms underlying sensorimotor impairments post-stroke. A proof-of-concept study explored event-related peak pinprick amplitude and oscillatory responses in healthy controls and in people with acute and subuacute motor and sensorimotor stroke, their relationship, and to what extent EEG somatosensory responses can predict sensorimotor impairment. In this study, 26 individuals participated, 10 people with an acute and early subacute sensorimotor stroke, 6 people with an acute and early subacute motor stroke, and 10 age-matched controls.
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