Search results for "epilepsi"
showing 10 items of 64 documents
Characterization of Epileptic Spiking Associated With Brain Amyloidosis in APP/PS1 Mice
2019
Epileptic activity without visible convulsions is common in Alzheimer’s disease (AD) and may contribute adversely to the disease progress and symptoms. Transgenic mice with amyloid plaque pathology also display epileptic seizures, but those are too infrequent to assess the effect of anti-epileptic treatments. Besides spontaneous seizures, these mice also display frequent epileptic spiking in epidural EEG recordings, and these have provided a means to test potential drug treatment to AD-related epilepsy. However, the origin of EEG spikes in transgenic AD model mice has remained elusive, which makes it difficult to relate electrophysiology with underlying pathology at the cellular and molecul…
One Dimensional Convolutional Neural Networks for Seizure Onset Detection Using Long-term Scalp and Intracranial EEG
2021
Epileptic seizure detection using scalp electroencephalogram (sEEG) and intracranial electroencephalogram (iEEG) has attracted widespread attention in recent two decades. The accurate and rapid detection of seizures not only reflects the efficiency of the algorithm, but also greatly reduces the burden of manual detection during long-term electroencephalogram (EEG) recording. In this work, a stacked one-dimensional convolutional neural network (1D-CNN) model combined with a random selection and data augmentation (RS-DA) strategy is proposed for seizure onset detection. Firstly, we segmented the long-term EEG signals using 2-sec sliding windows. Then, the 2-sec interictal and ictal segments w…
Channel Increment Strategy-Based 1D Convolutional Neural Networks for Seizure Prediction Using Intracranial EEG
2022
The application of intracranial electroencephalogram (iEEG) to predict seizures remains challenging. Although channel selection has been utilized in seizure prediction and detection studies, most of them focus on the combination with conventional machine learning methods. Thus, channel selection combined with deep learning methods can be further analyzed in the field of seizure prediction. Given this, in this work, a novel iEEG-based deep learning method of One-Dimensional Convolutional Neural Networks (1D-CNN) combined with channel increment strategy was proposed for the effective seizure prediction. First, we used 4-sec sliding windows without overlap to segment iEEG signals. Then, 4-sec …
Pairwise and higher-order measures of brain-heart interactions in children with temporal lobe epilepsy
2022
Abstract Objective. While it is well-known that epilepsy has a clear impact on the activity of both the central nervous system (CNS) and the autonomic nervous system (ANS), its role on the complex interplay between CNS and ANS has not been fully elucidated yet. In this work, pairwise and higher-order predictability measures based on the concepts of Granger Causality (GC) and partial information decomposition (PID) were applied on time series of electroencephalographic (EEG) brain wave amplitude and heart rate variability (HRV) in order to investigate directed brain-heart interactions associated with the occurrence of focal epilepsy. Approach. HRV and the envelopes of δ and α EEG activity re…
Medisinsk avstandsoppfølging for pasienter med epilepsi : En kvalitativ studie om pasienter med epilepsi sine opplevelser, erfaringer og tanker om ny…
2020
Master's thesis in Health informatics (HSI500) Background There is an increasing focus on the use of medical distance monitoring to improve the quality of patient care and increase the effectiveness of health care. Digital PRO-based solution is a new service for patients with epilepsy. The digital form the patient fills out is used as the basis for outpatient follow-up. Purpose The purpose of this study is to contribute knowledge to whether patients with epilepsy experience benefits of medical distance monitoring. The problem statement in the study was: "What experiences and thoughts do patients with epilepsy have about the utility of medical distance follow-up?" Selection and methodologyTh…
Understanding memory deficits in patients with drug-resistant epilepsy: key factors and impact on quality of life
2019
La epilepsia es una enfermedad neurológica caracterizada por una predisposición a presentar crisis epilépticas y por las consecuencias neurobiológicas, cognitivas, psicológicas y sociales asociadas, y puede suponer una condición potencialmente estresante. Esta enfermedad es tratada principalmente con fármacos antiepilépticos (FAEs). Sin embargo, aproximadamente un 30% de los pacientes presentan epilepsia farmacorresistente y pueden ser candidatos a procedimientos quirúrgicos, con demostrada eficacia en el control de las crisis. Tanto la exposición repetida a crisis epilépticas como su tratamiento suelen conllevar déficits cognitivos relativamente variables, siendo el deterioro de la memoria…
Estudio de memoria a largo plazo en pacientes con epilepsia temporal intervenidos quirúrgicamente: memoria semántica y olvido a largo plazo acelerado
2022
La epilepsia focal más frecuente es aquella epilepsia cuyo foco epileptógeno está localizado en el lóbulo temporal medial y es secundaria a una esclerosis con atrofia de la región amígdalo-hipocámpica, con una red epileptógena que abarca la porción anterior del lóbulo temporal. En ocasiones los pacientes requieren de un tratamiento quirúrgico que incluye la resección unilateral de ambas regiones, tanto del polo anterior, como del complejo amígdala-hipocampo. Estas estructuras han demostrado tener gran importancia para el procesamiento de la memoria semántica (región anterotemporal) y episódica (región amígdalo-hipocámpica), por lo que los pacientes que son sometidos a esta intervención suel…
Amígdalo-hipocampectomía selectiva guiada por endoscopia: estudio anatómico en cadáver, vías seguras de abordaje y comparación con las técnicas tradi…
2021
La amigdalo-hipocampectomía selectiva es una técnica quirúrgica descrita en 1973, utilizada en el tratamiento de la epilepsia temporomesial refractaria y que presenta, en casos seleccionados, resultados comparables con la lobectomía temporal anterior en términos de disminución del número de crisis, ofreciendo una tasa menor de secuelas funcionales y una mejor calidad de vida. A pesar de los grandes avances en la utilización del endoscopio en neurocirugía, en el campo de la cirugía de la epilepsia la endoscopia ha sido poco utilizada, limitándose su aplicación fundamentalmente a cirugía de desconexión con finalidad paliativa. Hipotesis de trabajo El presente estudio se propone definir los cr…
Seizure Prediction Using EEG Channel Selection Method
2022
Seizure prediction using intracranial electroencephalogram (iEEG) is still challenging because of complicated signals in spatial and time domains. Feature selection in the spatial domain (i.e., channel selection) has been largely ignored in this field. Hence, in this paper, a novel approach of iEEG channel selection strategy combined with one-dimensional convolutional neural networks (1D-CNN) was presented for seizure prediction. First, 15-sec and 30-sec iEEG segments with an increasing number of channels (from one channel to all channels) were sequentially fed into 1D-CNN models for training and testing. Then, the channel case with the best classification rate was selected for each partici…
El impacto clínico del diagnóstico interdisciplinar en el Trastorno por Déficit de Atención/Hiperactividad (TDAH) en un hospital público de la Comuni…
2015
El estudio parte de un profundo interés científico por analizar el proceso de evaluación y diagnóstico del Trastorno por Déficit de Atención/Hiperactividad (TDAH) en niños por un Servicio de Pediatría de un hospital público, considerándose además que esta alteración neurobiológica representa una preocupación en varios ámbitos de la sociedad, desde la familia en sí misma, pasando por el colegio, hasta llegar a los profesionales sanitarios que, en definitiva, junto con la colaboración de los anteriores, tienen la obligación de no sólo diagnosticar y tratar sino de desarrollar estrategias de detección temprana y terapéuticas cada vez más efectivas. El TDAH fue descrito por primera vez hace un …