scholarly journals nalysis of Impact of Alcohol on Brain's Activity

2021 ◽  
Author(s):  
◽  
Dharitri Tripathy
Keyword(s):  
Open Source ◽  
Programming Language ◽  
Emotional Regulation ◽  
Brain Activity ◽  
Time Frequency ◽  
Memory And Attention ◽  
Non Invasive ◽  
Monitoring Process ◽  
Beta Power ◽  
The Impact

Electroencephalography is an electrophysiological monitoring process to capture electrical activity on the scalp that has been shown to represent the macroscopic activity of the surface layer of the brain underneath. It is typically non-invasive, with the electrodes placed along the scalp. Computer programs in different programming language such as MATLAB, Python are used to simulate and study brain signals. This thesis focuses on utilizing Python, an open-source programming language to understand the impact of alcohol on one’s memory and attention and comparing them with non-alcoholic brain. To carry out this research, we are using open-source EEG data collected from alcoholic and non-alcoholic subjects subjected to visual stimuli. Experiments are carried out to observe spatial patterns related to both groups' brain activity and their association with different region of brain such as memory, attention, somatosensory, and emotional regulation regions. Besides the spatial pattern, we are also focusing to find source signals and their association with respect to attention region to understand the impact of alcohol on one’s attention function. Finally, the optimal sources based on optimal alpha and gamma rhythms are estimated. For these optimal source channels, we estimated time-frequency based spectrogram to understand the association of other band powers for both groups. Beta power activities from these spectrograms are analyzed for both groups to understand attention-deficit caused by alcohol consumption. By analyzing the results from the experiments can help us understand the impact of alcohol on one's brain's activity.

scholarly journals The impact of body posture on intrinsic brain activity: The role of beta power at rest

PLoS ONE ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. e0218977
Author(s):  
Brunella Donno ◽  
Daniele Migliorati ◽  
Filippo Zappasodi ◽  
Mauro Gianni Perrucci ◽  
Marcello Costantini
Keyword(s):  
Brain Activity ◽  
Body Posture ◽  
Beta Power ◽  
Intrinsic Brain Activity ◽  
The Impact

scholarly journals The impact of body posture on intrinsic brain activity: the role of beta power at rest

2019 ◽  
Author(s):  
Brunella Donno ◽  
Daniele Migliorati ◽  
Filippo Zappasodi ◽  
Mauro Gianni Perrucci ◽  
Marcello Costantini
Keyword(s):  
Resting State ◽  
Brain Activity ◽  
Inferior Frontal Gyrus ◽  
Muscle Tension ◽  
Body Posture ◽  
State Condition ◽  
Oscillatory Activity ◽  
Beta Power ◽  
Intrinsic Brain Activity ◽  
The Impact

1.AbstractTying the hands behind the back has detrimental effect of sensorimotor perceptual tasks. Here we provide evidence that beta band oscillatory activity in a resting state condition might have a crucial role in such detrimental effects. EEG activity in a resting state condition was measured from thirty participants in two different body posture conditions. In one condition participants were required to keep their hands freely resting on the table. In the other condition, participants were required to keep the hands tied behind their back. Increased beta power was observed in the left inferior frontal gyrus (l-IFG) during the tied hands condition compared to the free hands condition. A control study ruled out alternative explanations including muscle tension that might have affected the EEG data. Our findings provide new insight on how body postural manipulations impact on perceptual tasks and intrinsic brain activity.

scholarly journals Recurrence plot structures reflect motor-related EEG pattern

2019 ◽  
pp. 282-286
Author(s):  
Elena Pitsik ◽  
Nikita Frolov
Keyword(s):  
Signal To Noise Ratio ◽  
Brain Activity ◽  
Recurrence Plot ◽  
Mathematical Tool ◽  
Recurrence Plots ◽  
Time Frequency ◽  
Non Invasive ◽  
Power Spectral ◽  
Nonstationary Data ◽  
Eeg Recordings

Detection and classification of motor-related brain patterns from non-invasive electroencephalograms (EEGs) is challenging due to their non-stationarity and low signal-to-noise ratio and requires using advanced mathematical approaches. Traditionally applied methods such as time-frequency analysis and spatial filtering allow to quantify the main attribute of the motor-related brain activity – contralateral desynchronization of mu-band oscillations (8-13 Hz) in sensorimotor cortex – by measuring EEG signal’s amplitude, power spectral density, location etc. However, these features suffer from strong inter- and intra-subject variability. So, special attention is paid to the finding of stable features. In present paper, we investigate application of the recurrence plots – robust mathematical tool for nonstationary data analysis – to explore properties of motor-related EEG samples. Our goal is to show that recurrence plots are sensitive to the changes in brain activity accessed from noninvasive EEG recordings and may provide us a new context for interpretation of motor-related pattern in EEG.

The Stereotype Threat Effect

2018 ◽  
Vol 29 (4) ◽  
pp. 249-258 ◽  
Author(s):  
Steffen Moritz ◽  
Insa Happach ◽  
Karla Spirandelli ◽  
Tania M. Lincoln ◽  
Fabrice Berna
Keyword(s):  
Stereotype Threat ◽  
Self Report ◽  
Neuropsychological Performance ◽  
Neurocognitive Deficits ◽  
Online Study ◽  
Memory And Attention ◽  
Threat Effect ◽  
Efficacy Expectations ◽  
Study Participants ◽  
The Impact

Abstract. Neurocognitive deficits in patients with mental disorders are partially due to secondary influences. “Stereotype threat” denotes the phenomenon that performance is compromised when a participant is confronted with a devaluing stereotype. The present study examined the impact of stereotype threat on neuropsychological performance in schizophrenia. Seventy-seven participants with a self-reported diagnosis of schizophrenia were randomly assigned to either an experimental condition involving stereotype threat activation or a control condition in an online study. Participants completed memory and attention tests as well as questionnaires on motivation, self-efficacy expectations, cognitive complaints, and self-stigmatization. Contrary to our prediction, the two groups showed no significant differences regarding neuropsychological performance and self-report measures. Limitations, such as a possibly too weak threat cue, are discussed and recommendations for future studies are outlined.

Emotional Reactivity to Visual Content as Revealed by ERP Component Clustering

2015 ◽  
Vol 29 (4) ◽  
pp. 135-146 ◽  
Author(s):  
Miroslaw Wyczesany ◽  
Szczepan J. Grzybowski ◽  
Jan Kaiser
Keyword(s):  
Emotional Reactivity ◽  
Brain Activity ◽  
Affective State ◽  
Occipital Lobe ◽  
Stimulus Onset ◽  
Emotional States ◽  
Neural Basis ◽  
Temporoparietal Junction ◽  
The Right ◽  
The Impact

Abstract. In the study, the neural basis of emotional reactivity was investigated. Reactivity was operationalized as the impact of emotional pictures on the self-reported ongoing affective state. It was used to divide the subjects into high- and low-responders groups. Independent sources of brain activity were identified, localized with the DIPFIT method, and clustered across subjects to analyse the visual evoked potentials to affective pictures. Four of the identified clusters revealed effects of reactivity. The earliest two started about 120 ms from the stimulus onset and were located in the occipital lobe and the right temporoparietal junction. Another two with a latency of 200 ms were found in the orbitofrontal and the right dorsolateral cortices. Additionally, differences in pre-stimulus alpha level over the visual cortex were observed between the groups. The attentional modulation of perceptual processes is proposed as an early source of emotional reactivity, which forms an automatic mechanism of affective control. The role of top-down processes in affective appraisal and, finally, the experience of ongoing emotional states is also discussed.

Developer Centrality and the Impact of Value Congruence and Incongruence on Commitment and Code Contribution Activity in Open Source Software Communities

MIS Quarterly ◽  
2019 ◽  
Vol 43 (3) ◽  
pp. 951-976
Author(s):  
Likoebe M. Maruping ◽  
◽  
Sherae L. Daniel ◽  
Marcelo Cataldo ◽  
◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Value Congruence ◽  
The Impact

Report1: Impact of Covid-19 on young people aged 13-24 in the UK- preliminary findings

2020 ◽  
Author(s):  
Liat Levita ◽  
Jilly Gibson Miller ◽  
Todd K. Hartman ◽  
Jamie Murphy ◽  
Mark Shevlin ◽  
...  
Keyword(s):  
Mental Health ◽  
Young People ◽  
Emotional Regulation ◽  
Health Anxiety ◽  
Self Control ◽  
Social Risk ◽  
Need For Support ◽  
The Uk ◽  
Social Recovery ◽  
The Impact

COVID-19 has led to an unprecedented disruption of normal social relationships and activities, which are so important during the teen years and young adulthood, and to education and economic activity worldwide. The impact of this on young people’s mental health and future prospects may affect their need for support and services, and the speed of the nation’s social recovery afterwards. This study focused on the unique challenges facing young people at different points during adolescent development, which spans from the onset of puberty until the mid-twenties. Although this is an immensely challenging time and there is a potential risk for long term trauma, adolescence can be a period of opportunity, where the teenagers’ brain enjoys greater capacity for change. Hence, the focus on young people is key for designing age-specific interventions and public policies, which can offer new strategies for instilling resilience, emotional regulation, and self-control. In fact, adolescents might be assisted to not only cope, but excel, in spite of the challenges imposed by this pandemic. Our work will feed into the larger societal response that utilizes the discoveries about adolescence in the way we raise, teach, and treat young people during this time of crisis. Wave 1 data has already been collected from 2,002 young people aged 13-24, measuring their mental health (anxiety, depression, trauma), family functioning, social networks, and resilience, and social risk-taking at the time of the pandemic. Here we present a preliminary report of our findings, (Report 1). Data collected 21/4/20- 29/4/20 - a month after the lockdown started).

scholarly journals The impact of hyperoxia on brain activity: A resting-state and task-evoked electroencephalography (EEG) study

PLoS ONE ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. e0176610 ◽  
Author(s):  
Min Sheng ◽  
Peiying Liu ◽  
Deng Mao ◽  
Yulin Ge ◽  
Hanzhang Lu
Keyword(s):  
Resting State ◽  
Brain Activity ◽  
The Impact ◽  
And Task

scholarly journals QVigourMap: A GIS Open Source Application for the Creation of Canopy Vigour Maps

Agronomy ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 952
Author(s):  
Lia Duarte ◽  
Ana Cláudia Teodoro ◽  
Joaquim J. Sousa ◽  
Luís Pádua
Keyword(s):  
Open Source ◽  
Precision Agriculture ◽  
Vegetation Indices ◽  
Data Interpretation ◽  
Vegetation Monitoring ◽  
Distribution Maps ◽  
Monitoring Process ◽  
Multi Temporal ◽  
The Creation ◽  
The Right

In a precision agriculture context, the amount of geospatial data available can be difficult to interpret in order to understand the crop variability within a given terrain parcel, raising the need for specific tools for data processing and analysis. This is the case for data acquired from Unmanned Aerial Vehicles (UAV), in which the high spatial resolution along with data from several spectral wavelengths makes data interpretation a complex process regarding vegetation monitoring. Vegetation Indices (VIs) are usually computed, helping in the vegetation monitoring process. However, a crop plot is generally composed of several non-crop elements, which can bias the data analysis and interpretation. By discarding non-crop data, it is possible to compute the vigour distribution for a specific crop within the area under analysis. This article presents QVigourMaps, a new open source application developed to generate useful outputs for precision agriculture purposes. The application was developed in the form of a QGIS plugin, allowing the creation of vigour maps, vegetation distribution maps and prescription maps based on the combination of different VIs and height information. Multi-temporal data from a vineyard plot and a maize field were used as case studies in order to demonstrate the potential and effectiveness of the QVigourMaps tool. The presented application can contribute to making the right management decisions by providing indicators of crop variability, and the outcomes can be used in the field to apply site-specific treatments according to the levels of vigour.

Sign in / Sign up

Export Citation Format

Share Document