Search results for "aivot"

Auditory processing in the two hemispheres in developing brain : MEG study

2013

Lapsien kuuloaivokuoren kehitystä ei ymmärretä vielä hyvin. Tämän tutkielman tarkoitus on selvittää kehityksellisiä muutoksia myöhäisissä magneettisissa kuuloherätevasteissa koko pään kattavalla neuromagnetometrillä. Tutkimukseen osallistui 6–13,5 vuotiaita tyypillisesti kehittyneitä lapsia (N = 36), jotka jaettiin kolmeen ikäryhmään, sekä aikuisia (N = 11). Osallistujilta mitattiin kuulovasteet yksinkertaisille siniäänille, jonka jälkeen lasten vasteita verrattiin aikuisten vasteisiin. Ärsykkeet esitettiin vuorotellen vasempaan ja oikeaan korvaan ja ärsykkeiden välinen aika satunnaistettiin 0,8 ja 1,2 ms:n välillä. Tutkimustuloksemme osoittaa, että lasten kuulovasterakenne eroaa huomattava…

Neural mechanisms of bilateral deficit in maximal force production in specific groups of athletes

2016

The mechanisms of bilateral deficit (BLD) have been studied extensively, but remain obscure. Neural mechanisms have been proposed, including interhemispheric inhibition (IHI). In this study specific groups of athletes who were more likely to exhibit BLD or bilateral facilitation (BLF) were compared with controls. If IHI is truly the underlying cause of BLD it is of interest whether the nature of IHI is reflected in the magnitude of BLD. 20 male subjects (ALL) were split into three groups according to the nature of their activity: bilateral, unilateral and control. Additionally, they were split into two groups whether they exhibited BLD or BLF. Maximal unilateral (UL) and bilateral (BL) isom…

Cluster priors in the Bayesian modelling of fMRI data

2001

Associations of dietary carbohydrate and fatty acid intakes with cognition among children

2020

Objective: To investigate the cross-sectional associations of dietary carbohydrate and fatty acid intakes with cognition in mid-childhood. Design: Dietary carbohydrate and fatty acid intakes were assessed using 4-d food records, and cognition was evaluated using the Raven’s Coloured Progressive Matrices (RCPM) score. The cross-sectional associations of dietary carbohydrate and fatty acid intakes with cognition were investigated using linear regression analyses adjusted for age, sex, body fat percentage, household income, parental education and daily energy intake. Setting: The baseline examinations of the Physical Activity and Nutrition in Children study. Participants: A population-based sa…

Somatosensory Deviance Detection ERPs and Their Relationship to Analogous Auditory ERPs and Interoceptive Accuracy

2022

Abstract. Automatic deviance detection has been widely explored in terms of mismatch responses (mismatch negativity or mismatch response) and P3a components of event-related potentials (ERPs) under a predictive coding framework; however, the somatosensory mismatch response has been investigated less often regarding the different types of changes than its auditory counterpart. It is not known whether the deviance detection responses from different modalities correlate, reflecting a general prediction error mechanism of the central nervous system. Furthermore, interoceptive functions have been associated with predictive coding theory, but whether interoceptive accuracy correlates with devian…

Removing ocular artifacts from magnetoencephalographic data on naturalistic reading of continuous texts

2022

Naturalistic reading paradigms and stimuli consisting of long continuous texts are essential for characterizing the cortical basis of reading. Due to the highly dynamic nature of the reading process, electrophysiological brain imaging methods with high spatial and temporal resolution, such as magnetoencephalography (MEG), are ideal for tracking them. However, as electrophysiological recordings are sensitive to electromagnetic artifacts, data recorded during naturalistic reading is confounded by ocular artifacts. In this study, we evaluate two different pipelines for removing ocular artifacts from MEG data collected during continuous, naturalistic reading, with the focus on saccades and blin…

Taking Familiar Others’ Perspectives to Regulate Our Own Emotion: An Event-Related Potential Study

2019

Current research on emotion regulation has mainly focused on Gross’s cognitive strategies for regulating negative emotion; however, little attention has been paid to whether social cognitive processes can be used to regulate both positive and negative emotions. We considered perspective-taking as an aspect of social cognition, and investigated whether it would affect one’s own emotional response. The present study used a block paradigm and event-related potential (ERP) technology to explore this question. A 3 (perspective: self vs. pessimistic familiar other vs. optimistic familiar other) × 3 (valence: positive vs. neutral vs. negative) within-group design was employed. Thirty-six college s…

Relationship between physical activity, fitness and brain morphology in youth

2017

Yhä useammat tutkimukset ovat havainneet yhteyden fyysisen aktiivisuuden, fyysisen kunnon ja kognitiivisten kykyjen välillä, mutta tätä yhteyttä selittävät tekijät ja siihen liittyvät muutokset aivojen rakenteissa ovat vielä varsin epäselviä. Tässä tutkimuksessa oli tarkoitus selvittää, onko fyysisellä aktiivisuudella tai fyysisellä kunnolla yhteyttä aivojen rakenteeseen nuorilla. Tutkimuksen koehenkilöt olivat 35 suomalaista nuorta (14.14 ±0.71 vuotta, 23 tyttöä & 12 poikaa), otanta laajemmasta AFIS (Active, Fit and Smart) -tutkimusprojektista. Tutkimuksessa mitattiin fyysistä aktiivisuutta objektiivisilla kiihtyvyysanturimittareilla, fyysistä kuntoa lasten ja nuorten mittaamiseen tarkoite…

Psykoterapioitten yksinäisyys ja salutogeneesi

2023

Cross-Subject Emotion Recognition Using Fused Entropy Features of EEG.

2022

Emotion recognition based on electroencephalography (EEG) has attracted high interest in fields such as health care, user experience evaluation, and human–computer interaction (HCI), as it plays an important role in human daily life. Although various approaches have been proposed to detect emotion states in previous studies, there is still a need to further study the dynamic changes of EEG in different emotions to detect emotion states accurately. Entropy-based features have been proved to be effective in mining the complexity information in EEG in many areas. However, different entropy features vary in revealing the implicit information of EEG. To improve system reliability, in this paper,…