Search results for " spatial patterns"

showing 3 items of 3 documents

A Framework to Assess the Information Dynamics of Source EEG Activity and Its Application to Epileptic Brain Networks

2020

This study introduces a framework for the information-theoretic analysis of brain functional connectivity performed at the level of electroencephalogram (EEG) sources. The framework combines the use of common spatial patterns to select the EEG components which maximize the variance between two experimental conditions, simultaneous implementation of vector autoregressive modeling (VAR) with independent component analysis to describe the joint source dynamics and their projection to the scalp, and computation of information dynamics measures (information storage, information transfer, statistically significant network links) from the source VAR parameters. The proposed framework was tested on…

Information transfercommon spatial patternComputer science0206 medical engineeringcommon spatial patterns02 engineering and technologyElectroencephalographyInformation theoryArticlelcsh:RC321-57103 medical and health sciencesEpilepsy0302 clinical medicineinformation storagemedicineinformation transferIctalEEGGeneralized epilepsylcsh:Neurosciences. Biological psychiatry. Neuropsychiatryinformation theorymedicine.diagnostic_testbusiness.industryGeneral NeurosciencePattern recognitionmedicine.disease020601 biomedical engineeringIndependent component analysismedicine.anatomical_structurevector autoregressive modelingindependent component analysisScalpSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaepilepsyArtificial intelligencebusiness030217 neurology & neurosurgeryBrain Sciences
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Pre- and post-ictal brain activity characterization using combined source decomposition and connectivity estimation in epileptic children

2019

In this research, the study of functional connectivity between sources of electroencephalogram (EEG) activity assessed for different classes (well before seizure, preictal and post-ictal) was performed. EEG recordings were acquired from 12 subjects with focal epilepsy. Then, ten common spatial patterns (CSP) were obtained for EEG segments describing 95% of Riemannian distance between pairs of classes, followed by estimation of multivariate autoregressive (MVAR) models’ coefficients. The MVAR models were further used to extract coherence as a functional connectivity measures. Our results show that the coherence between CSP sources differs between baseline and pre-ictal segments: it has the l…

Multivariate statisticsepilepsy epileptic seizures EEG brain connectivity common spatial patterns VAR model ICAmedicine.diagnostic_testComputer sciencebusiness.industryBrain activity and meditationPattern recognitionCoherence (statistics)Electroencephalographymedicine.diseaseSettore ING-INF/01 - ElettronicaEpilepsyAutoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticamedicineIctalArtificial intelligencebusinessPre and post
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Lost in space? Using geo-narratives to interpret land use changes in a rural landscape of inner Sicily

2021

Intercropping landscapes characterised by the presence of certain plant features (i.e. old-century olive trees) are usually considered traditional landscapes, extremely important for their biocultural heritage. Olive agroforestry systems were widespread in the past throughout Sicily. Recent evolution processes involving intensification have switched to olive grove monocultures. Here we present ongoing work on the application of geo-narratives to interpret transformation dynamics of land use practices in a rural landscape of inner Sicily. Based on the assumption that spatial patterns are the expression of transformation processes, where the spatial variation of human activities is a signific…

Settore AGR/03 - Arboricoltura Generale E Coltivazioni Arboreetraditional landscapes olive change detection spatial patterns aerial imagesSettore AGR/05 - Assestamento Forestale E Selvicoltura
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