Differentiating Temporal Plus "Insula" Epilepsy From Temporal Lobe Epilepsy by Brain Networks Based on Noninvasive Examinations. [PDF]
The classification model based on 18F‐FDG PET and scalp EEG brain network features effectively identifies TPE patients with insular involvement from TLE patients. There are differences in the local network features of the insular region between the two patient groups.
Hu X +8 more
europepmc +2 more sources
Abstract Over the past several decades, research in the cognitive sciences has foregrounded the importance of active bodies and their continuous dependence on the changing environment, strengthening the relevance of dynamical models. These models have been steadily developed within the ecological psychology approach to cognition, which arguably ...
Joanna Rączaszek‐Leonardi
wiley +1 more source
BROAD-NESS Uncovers Dual-Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks. [PDF]
BROADband Network Estimation via Source Space (BROAD‐NESS) is a flexible analytical pipeline for identifying large‐scale brain networks from event‐related, source‐reconstructed MEG data, with a focus on auditory predictive and memory processes. BROAD‐NESS integrates a suite of complementary tools, including PCA‐based decomposition, phase space, and ...
Bonetti L +8 more
europepmc +2 more sources
Stability of Neural Oscillations Supports Auditory-Motor Synchronization. [PDF]
Participants synchronized melodies at different rates. Electroencephalography was analyzed with recurrence quantification. More accurate synchronization corresponded to greater neural stability. ABSTRACT Previous findings suggest that auditory‐motor synchronization is supported by increased coactivation of auditory and motor brain networks.
Scheurich R +3 more
europepmc +2 more sources
Background: It has previously been shown that the time-domain characteristic of heart rate variability (HRV) is an independent prognostic factor for lung cancer patients with brain metastasis (LCBM).
Guangqiao Li +9 more
doaj +1 more source
EEG signal dimension is an index of seizure propensity and antiseizure medication effects in a mouse model of acquired epilepsy. [PDF]
Abstract Objective Variability in the frequency, timing, and pattern of seizures may influence the assessment of the effect of antiseizure medications (ASMs) when measuring seizure frequency, especially in patients with infrequent seizures. A low seizure rate is an exclusion criterion for enrollment of patients with epilepsy in clinical trials and ...
Rizzi M +4 more
europepmc +2 more sources
The purpose of this study was to examine if prosodic patterns in oral reading derived from Recurrence Quantification Analysis (RQA) could distinguish between struggling and skilled German readers in Grades 2 (n = 67) and 4 (n = 69).
Panagiotis Karageorgos +4 more
doaj +1 more source
Electroencephalographic signal dimension provides the necessary stability of measurements for the unbiased evaluation of antiseizure medications, unlike seizure frequency: Overcoming drawbacks of seizure occurrence variability. [PDF]
Epilepsia, Volume 66, Issue 12, Page 5101-5104, December 2025.
Rizzi M +4 more
europepmc +2 more sources
A New Approach for Lie Detection Using Non-Linear and Dynamic Analysis of Video-Based Eye Movement
Purpose: This study aimed to evaluate a lie-detection system by non-linear analysis of video-based eye movement. Materials and Methods: The physiological signals, as well as video-based eye movement in horizontal and vertical channels, were recorded ...
Mohamad Amin Younessi Heravi +3 more
doaj +1 more source
Characterization of high-intensity, long-duration continuous auroral activity (HILDCAA) events using recurrence quantification analysis [PDF]
Considering the magnetic reconnection and the viscous interaction as the fundamental mechanisms for transfer particles and energy into the magnetosphere, we study the dynamical characteristics of auroral electrojet (AE) index during high-intensity ...
O. Mendes +4 more
doaj +1 more source

