scholarly journals Spatiospectral brain networks reflective of improvisational experience

2021 ◽  
Author(s):  
Josef Faller ◽  
Andrew Goldman ◽  
Yida Lin ◽  
James R. McIntosh ◽  
Paul Sajda
Keyword(s):  
Large Scale ◽  
Time Window ◽  
Network Connectivity ◽  
Functional Class ◽  
Network Activity ◽  
Oddball Paradigm ◽  
Auditory Oddball ◽  
Scalp Eeg ◽  
Musical Structures ◽  
Functional Classes

AbstractMusical improvisers are trained to categorize certain musical structures into functional classes, which is thought to facilitate improvisation. Using a novel auditory oddball paradigm (Goldman et al., 2020) which enables us to disassociate a deviant (i.e. musical cord inversion) from a consistent functional class, we recorded scalp EEG from a group of musicians who spanned a range of improvisational and classically trained experience. Using a spatiospectral based inter and intra network connectivity analysis, we found that improvisers showed a variety of differences in connectivity within and between large-scale cortical networks compared to classically trained musicians, as a function of deviant type. Inter-network connectivity in the alpha band, for a time window leading up to the behavioural response, was strongly linked to improvisation experience, with the default mode network acting as a hub. Spatiospectral networks post response were substantially different between improvisers and classically trained musicians, with greater inter-network connectivity (specific to the alpha and beta bands) seen in improvisers whereas those with more classical training had largely reduced inter-network activity (mostly in the gamma band). More generally, we interpret our findings in the context of network-level correlates of expectation violation as a function of subject expertise, and we discuss how these may generalize to other and more ecologically valid scenarios.

scholarly journals Hydrology influences breeding time in the white-throated dipper

BMC Ecology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Anna L. K. Nilsson ◽  
Thomas Skaugen ◽  
Trond Reitan ◽  
Jan Henning L’Abée-Lund ◽  
Marlène Gamelon ◽  
...  
Keyword(s):  
Climate Change ◽  
River Discharge ◽  
Large Scale ◽  
Time Window ◽  
River System ◽  
Open Water ◽  
Local Conditions ◽  
Environmental Indices ◽  
Groundwater Levels ◽  
Breeding Time

Abstract Background Earlier breeding is one of the strongest responses to global change in birds and is a key factor determining reproductive success. In most studies of climate effects, the focus has been on large-scale environmental indices or temperature averaged over large geographical areas, neglecting that animals are affected by the local conditions in their home ranges. In riverine ecosystems, climate change is altering the flow regime, in addition to changes resulting from the increasing demand for renewable and clean hydropower. Together with increasing temperatures, this can lead to shifts in the time window available for successful breeding of birds associated with the riverine habitat. Here, we investigated specifically how the environmental conditions at the territory level influence timing of breeding in a passerine bird with an aquatic lifestyle, the white-throated dipper Cinclus cinclus. We relate daily river discharge and other important hydrological parameters, to a long-term dataset of breeding phenology (1978–2015) in a natural river system. Results Dippers bred earlier when winter river discharge and groundwater levels in the weeks prior to breeding were high, and when there was little snow in the catchment area. Breeding was also earlier at lower altitudes, although the effect dramatically declined over the period. This suggests that territories at higher altitudes had more open water in winter later in the study period, which permitted early breeding also here. Unexpectedly, the largest effect inducing earlier breeding time was territory river discharge during the winter months and not immediately prior to breeding. The territory river discharge also increased during the study period. Conclusions The observed earlier breeding can thus be interpreted as a response to climate change. Measuring environmental variation at the scale of the territory thus provides detailed information about the interactions between organisms and the abiotic environment.

Gamma band activity in an auditory oddball paradigm studied with the wavelet transform

2001 ◽  
Vol 112 (7) ◽  
pp. 1219-1228 ◽  
Author(s):  
I.G Gurtubay ◽  
M Alegre ◽  
A Labarga ◽  
A Malanda ◽  
J Iriarte ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Gamma Band ◽  
Oddball Paradigm ◽  
Auditory Oddball ◽  
Gamma Band Activity ◽  
Auditory Oddball Paradigm ◽  
Band Activity

Impact of Chronic Cannabis Use on Auditory Mismatch Negativity Generation in Schizophrenia Patients

2018 ◽  
Vol 52 (03) ◽  
pp. 126-133 ◽  
Author(s):  
Patrik Roser ◽  
Eva-Maria Pichler ◽  
Benedikt Habermeyer ◽  
Wolfram Kawohl ◽  
Georg Juckel
Keyword(s):  
Cognitive Functioning ◽  
Cognitive Performance ◽  
Mismatch Negativity ◽  
Cannabis Use ◽  
Oddball Paradigm ◽  
Healthy Controls ◽  
Characteristic Finding ◽  
Auditory Oddball ◽  
Cannabis Use Disorders ◽  
Auditory Oddball Paradigm

Abstract Introduction Cannabis use disorders (CUD) are highly prevalent among patients with schizophrenia (SCZ). Deficient mismatch negativity (MMN) generation is a characteristic finding in SCZ patients and cannabis users. This study therefore examined the effects of CUD on MMN generation in SCZ patients. Methods Twenty SCZ − CUD patients, 21 SCZ+CUD patients, and 20 healthy controls (HC) were included in this study. MMN to frequency and duration deviants was elicited within an auditory oddball paradigm and recorded by 32 channel EEG. Results As expected, SCZ − CUD patients showed reduced frontocentral MMN amplitudes to duration deviants compared to HC. Interestingly, SCZ+CUD patients demonstrated greater MMN amplitudes to duration deviants compared to SCZ − CUD patients at central electrodes with no differences compared to HC. Discussion These results demonstrate that comorbid cannabis use in SCZ patients might be associated with superior cognitive functioning. It can be assumed that the association between cannabis use and better cognitive performance may be due to a subgroup of cognitively less impaired SCZ patients characterized by lower genetic vulnerability for psychosis.

scholarly journals Detect AD Patients by Using EEG Coherence Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Ming-Chung Ho ◽  
Tsung-Ching Chen ◽  
Chin-Fei Huang ◽  
Cheng-Hsieh Yu ◽  
Jhih-Ming Chen ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Healthy Subjects ◽  
Normal Aging ◽  
Oddball Paradigm ◽  
Coherence Analysis ◽  
Eeg Coherence ◽  
Theta Band ◽  
Corticocortical Connections ◽  
Auditory Oddball ◽  
Auditory Oddball Paradigm

The purpose of this study is to discriminate mild Alzheimer’s disease (AD) patients from the normal aging. The EEG coherence was applied to analyze the data from auditory oddball paradigm to discriminate the differences of corticocortical connections between mild AD patients and healthy subjects. The results showed that the lower values of coherence were performed in mild AD patients than in the normal aging subjects, especially in theta band. The implications and suggestions are shown in this study.

scholarly journals Correlation-Centric Network (CCN) representation for microbial co-occurrence patterns: new insights for microbial ecology

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Pengshuo Yang ◽  
Chongyang Tan ◽  
Maozhen Han ◽  
Lin Cheng ◽  
Xuefeng Cui ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Large Scale ◽  
Network Connectivity ◽  
Small Range ◽  
Environmental Disturbance ◽  
Target Species ◽  
Important Species ◽  
Metagenome Analysis ◽  
Occurrence Patterns ◽  
Edge Networks

Abstract Mainstream studies of microbial community focused on critical organisms and their physiology. Recent advances in large-scale metagenome analysis projects initiated new researches in the complex correlations between large microbial communities. Specifically, previous studies focused on the nodes (i.e. species) of the Species-Centric Networks (SCNs). However, little was understood about the change of correlation between network members (i.e. edges of the SCNs) when the network was disturbed. Here, we introduced a Correlation-Centric Network (CCN) to the microbial research based on the concept of edge networks. In CCN, each node represented a species–species correlation, and edge represented the species shared by two correlations. In this research, we investigated the CCNs and their corresponding SCNs on two large cohorts of microbiome. The results showed that CCNs not only retained the characteristics of SCNs, but also contained information that cannot be detected by SCNs. In addition, when the members of microbial communities were decreased (i.e. environmental disturbance), the CCNs fluctuated within a small range in terms of network connectivity. Therefore, by highlighting the important species correlations, CCNs could unveil new insights when studying not only the functions of target species, but also the stabilities of their residing microbial communities.

scholarly journals Next Generation Middleware Technology for Mobile Computing

2011 ◽  
pp. 74-80
Author(s):  
B. Darsana ◽  
Karabi Konar
Keyword(s):  
Mobile Computing ◽  
Large Scale ◽  
Network Connectivity ◽  
Distributed Applications ◽  
Mobile Systems ◽  
Portable Devices ◽  
Next Generation ◽  
Mobile Middleware ◽  
Mobile Computing Environment ◽  
Middleware Technology

Current advances in portable devices, wireless technologies, and distributed systems have created a mobile computing environment that is characterized by a large scale of dynamism. Diversities in network connectivity, platform capability, and resource availability can significantly affect the application performance. Traditional middleware systems are not prepared to offer proper support for addressing the dynamic aspects of mobile systems. Modern distributed applications need a middleware that is capable of adapting to environment changes and that supports the required level of quality of service. This paper represents the experience of several research projects related to next generation middleware systems. We first indicate the major challenges in mobile computing systems and try to identify the main requirements for mobile middleware systems. The different categories of mobile middleware technologies are reviewed and their strength and weakness are analyzed.

scholarly journals Targeted stimulation of human orbitofrontal networks disrupts outcome-guided behavior

2019 ◽  
Author(s):  
James D. Howard ◽  
Rachel Reynolds ◽  
Devyn E. Smith ◽  
Joel L. Voss ◽  
Geoffrey Schoenbaum ◽  
...  
Keyword(s):  
Network Connectivity ◽  
Network Activity ◽  
Behavioral Impairment ◽  
Non Invasive ◽  
Normal Behavior ◽  
Food Odors ◽  
Reinforcer Devaluation ◽  
Current Value ◽  
Stimulation Group ◽  
Expected Outcomes

ABSTRACTOutcome-guided behavior requires knowledge about the current value of expected outcomes. Such behavior can be isolated in the reinforcer devaluation task, which assesses the ability to infer the current value of rewards after devaluation. Animal lesion studies demonstrate that orbitofrontal cortex (OFC) is necessary for normal behavior in this task, but a causal role for human OFC in outcome-guided behavior has not been established. Here we used sham-controlled non-invasive continuous theta-burst stimulation (cTBS) to temporarily disrupt human OFC network activity prior to devaluation of food odor rewards in a between-subjects design. Subjects in the sham group appropriately avoided Pavlovian cues associated with devalued food odors. However, subjects in the stimulation group persistently chose those cues, even though devaluation of food odors themselves was unaffected by cTBS. This behavioral impairment was mirrored in changes in resting-stated functional magnetic resonance imaging (rs-fMRI) activity, such that subjects in the stimulation group exhibited reduced global OFC network connectivity after cTBS, and the magnitude of this reduction was correlated with choices after devaluation. These findings demonstrate the feasibility of indirectly targeting the human OFC with non-invasive cTBS, and indicate that OFC is specifically required for inferring the value of expected outcomes.

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