Search results for "Eeg"

Decoding brain activities of literary metaphor comprehension: An event-related potential and EEG spectral analysis

2022

Novel metaphors in literary texts (hereinafter referred to as literary metaphors) seem to be more creative and open-ended in meaning than metaphors in non-literary texts (non-literary metaphors). However, some disagreement still exists on how literary metaphors differ from non-literary metaphors. Therefore, this study explored the neural mechanisms of literary metaphors extracted from modern Chinese poetry by using the methods of Event-Related Potentials (ERPs) and Event-Related Spectral Perturbations (ERSPs), as compared with non-literary conventional metaphors and literal expressions outside literary texts. Forty-eight subjects were recruited to make the semantic relatedness judgment afte…

Dynamics of brain activation during learning of syllable-symbol paired associations.

2019

| openaire: EC/H2020/641652/EU//ChildBrain Initial stages of reading acquisition require the learning of letter and speech sound combinations. While the long-term effects of audio-visual learning are rather well studied, relatively little is known about the short-term learning effects at the brain level. Here we examined the cortical dynamics of short-term learning using magnetoencephalography (MEG) and electroencephalography (EEG) in two experiments that respectively addressed active and passive learning of the association between shown symbols and heard syllables. In experiment 1, learning was based on feedback provided after each trial. The learning of the audio-visual associations was c…

Exploring Oscillatory Dysconnectivity Networks in Major Depression During Resting State Using Coupled Tensor Decomposition

2022

Dysconnectivity of large-scale brain networks has been linked to major depression disorder (MDD) during resting state. Recent researches show that the temporal evolution of brain networks regulated by oscillations reveals novel mechanisms and neural characteristics of MDD. Our study applied a novel coupled tensor decomposition model to investigate the dysconnectivity networks characterized by spatio-temporal-spectral modes of covariation in MDD using resting electroencephalography. The phase lag index is used to calculate the functional connectivity within each time window at each frequency bin. Then, two adjacency tensors with the dimension of time frequency connectivity subject are constr…

Effect of CBASP therapy on the neurophysiological responses to pictures of neutral faces in depression : an event-related potential study

2017

Tämä pro gradu -tutkielma tarkastelee masentuneiden ja terveiden koehenkilöiden tunnetiedon käsittelyn eroja. Tarkoituksena on selvittää, onko masentuneiden ja terveiden koehenkilöiden välillä eroa kasvonilmeiden välittämän tunnetiedon käsittelyssä aivoissa, ja vaikuttaako kognitiivis-behavioraalinen CBASP-psykoterapia aivovasteisiin. Tutkimuksen 42 koehenkilöstä 32 oli masentuneita ja 10 terveitä. Masentuneet koehenkilöt jaettiin sattumanvaraisesti terapiaryhmään ja tavanomaisen hoidon ryhmään. Tutkimusmenetelmänä käytettiin EEG-aineiston ERP-analyysia. EEG-aineistosta tarkasteltiin kasvokuvien esittämiseen liittyvää aivoaktivaatiota. Keskiarvot kasvokuvien aiheuttamista vasteista lasketti…

Identifying Oscillatory Hyperconnectivity and Hypoconnectivity Networks in Major Depression Using Coupled Tensor Decomposition

2021

AbstractPrevious researches demonstrate that major depression disorder (MDD) is associated with widespread network dysconnectivity, and the dynamics of functional connectivity networks are important to delineate the neural mechanisms of MDD. Cortical electroencephalography (EEG) oscillations act as coordinators to connect different brain regions, and various assemblies of oscillations can form different networks to support different cognitive tasks. Studies have demonstrated that the dysconnectivity of EEG oscillatory networks is related with MDD. In this study, we investigated the oscillatory hyperconnectivity and hypoconnectivity networks in MDD under a naturalistic and continuous stimuli…

Brief psychological intervention for depression : an ERP study

2009

Shared and Unshared Feature Extraction in Major Depression During Music Listening Using Constrained Tensor Factorization

2021

Ongoing electroencephalography (EEG) signals are recorded as a mixture of stimulus-elicited EEG, spontaneous EEG and noises, which poses a huge challenge to current data analyzing techniques, especially when different groups of participants are expected to have common or highly correlated brain activities and some individual dynamics. In this study, we proposed a data-driven shared and unshared feature extraction framework based on nonnegative and coupled tensor factorization, which aims to conduct group-level analysis for the EEG signals from major depression disorder (MDD) patients and healthy controls (HC) when freely listening to music. Constrained tensor factorization not only preserve…

Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression

2021

To examine the electrophysiological underpinnings of the functional networks involved in music listening, previous approaches based on spatial independent component analysis (ICA) have recently been used to ongoing electroencephalography (EEG) and magnetoencephalography (MEG). However, those studies focused on healthy subjects, and failed to examine the group-level comparisons during music listening. Here, we combined group-level spatial Fourier ICA with acoustic feature extraction, to enable group comparisons in frequency-specific brain networks of musical feature processing. It was then applied to healthy subjects and subjects with major depressive disorder (MDD). The music-induced oscil…

Effects of short intervention for the processing of facial expressions in depression

2010

Tutkimuksen tarkoituksena oli selvittää automaattisen tiedonkäsittelyn eroja masentuneiden ja mielialansa hyväksi kokevien välillä mittaamalla aivojen herätevasteita. Lisäksi tutkittiin lyhyen psykologisen intervention vaikutusta näihin vasteisiin. Tutkimukseen osallistui 40 masentunutta ja 23 kontrollikoehenkilöä. Masentuneiden koehenkilöiden aivosähkökäyrä mitattiin ennen interventiota, sen jälkeen sekä seitsemän kuukauden seurannassa. Henkilöt, jotka eivät kokeneet masennusta, mitattiin vain kerran. Masentuneet koehenkilöt jaettiin hyötyneisiin ja hyötymättömiin sen perusteella, miten he arvioivat mielialansa intervention jälkeen. Kokeessa kuvaruudulle esitettiin toistuvasti neutraali ka…

Pre-attentive change detection of emotional facial expressions : effects of depression and a short psychological intervention - and ERP study

2012

Tämän tutkimuksen tavoitteena oli tutkia aivojen esitietoista muutoksenhavaitsemiskykyä mittaamalla tapahtumasidonnaisia herätevastepotentiaaleja (ERP) elektroenkefalografiassa (EEG), käyttäen ärsyk-keenä emotionaalisia kasvonilmeitä. Tutkimuksessa verrattiin kahden ryhmän: masentuneiden sekä ei-masentuneiden - ERP vasteista. Lisäksi tutkimme psykologisen lyhyt intervention vaikutuksia koehen-kilöiden ERP vasteisiin. Tutkimuksessa käytettiin ärsykkeinä seitsemään universaalia kasvonilmettä, viidessä eri koeasetelmassa. Yhdessä koeasetelmassa kaikilla seitsemällä kasvonilmeelle oli yhtä suuri todennäköisyys esiintyä (p=0.14). Neljässä muussa koeasetelmassa käytettiin niin sanottua oddball pa…