Search results for "NATURALISTIC"

Functional Brain Segmentation Using Inter-Subject Correlation in fMRI

2016

The human brain continuously processes massive amounts of rich sensory information. To better understand such highly complex brain processes, modern neuroimaging studies are increasingly utilizing experimental setups that better mimic daily‐life situations. A new exploratory data‐analysis approach, functional segmentation inter‐subject correlation analysis (FuSeISC), was proposed to facilitate the analysis of functional magnetic resonance (fMRI) data sets collected in these experiments. The method provides a new type of functional segmentation of brain areas, not only characterizing areas that display similar processing across subjects but also areas in which processing across subjects is h…

Identifying critical incidents in naturalistic driving data: experiences from a promoting real life observation for gaining understanding of road use…

2013

The methodology of naturalistic driving observation aspires to observe the driver and his environment while driving in natural driving settings. It is of great importance in research on road safety as this method of observing road users eliminates the disadvantages of traditional methods like simulator studies or interviews. However, it produces vast such amounts of data and challenges data reduction and data analysis. Therefore automatic methods for filtering critical incidents based on thresholds for numerical data are often applied to select the data to be analysed. This study reports a small-scale field trial in Valencia, Spain, which was conducted within the promoting real life observa…

Practical applications of naturalistic inquiry in intercultural education

2021

In recent years, the field of intercultural communication has seen a remarkable shift characterized by a growth in publications that distance themselves from the traditional, essentialist understanding of culture. In research, this shift is reflected in approaches that appreciate culture-in-action instead of taking culture for granted as a stable entity that pre-exists social interaction and predicts as well as explains human behavior. However, despite attempts to introduce differentiated views on culture and interculturality in education, concrete options for critical intercultural training are scarce and often remain abstract, which makes their application challenging. This article argues…

Le rotofascine modulari (RFM): un esempio di economia circolare nell’Ingegneria Naturalistica

2022

Si presenta un’idea progettuale nel campo delle opere di Ingegneria Naturalistica (IN) basata su una serie di principi quali: 1) il riutilizzo di materiali di scarto e la loro immissione nel ciclo produttivo; 2) l’uso di risorse rinnovabili; 3) l’ecosostenibilità e l’adeguatezza ambientale dell’opera IN proposta. Questi punti rappresentano proprio i canoni dell’Economia Circolare (sistema economico che può rigenerarsi da solo garantendo l’ecosostenibilità) che vengono applicati nella realizzazione di un’opera di IN. Ovviamente, non sarà sviluppato il tema economico ma quello costruttivo di un’opera di IN che si inquadra perfettamente nello spirito di questo approccio economico così attuale …

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…

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…

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…

Accountability in couple therapy for depression : a mixed methods study in a naturalistic setting in Finland

2013

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…

Recurrence rates in bipolar disorder: Systematic comparison of long-term prospective, naturalistic studies versus randomized controlled trials

2015

Bipolar disorder (BD) is a recurrent, lifelong illness with high risks of disability and excess mortality. Despite many treatment options with demonstrated short-term efficacy, evidence concerning long-term treatment effectiveness in BD remains limited and the relative value of naturalistic studies versus randomized, controlled trials (RCTs) in its assessment, uncertain. Systematic computer-searching yielded 10 naturalistic studies and 15 RCTs suitable for analysis of recurrence rates and their association with treatments and selected clinical factors. In naturalistic studies (3904 BD subjects, 53.3% women, 85.8% BD-I, mean onset age 29.1, followed up to 2.1 years), the pooled recurrence ra…