scholarly journals Improvising at Rest: Differentiating Jazz and Classical Music Training with Resting State Functional Connectivity

2019 ◽  
Author(s):  
Alexander Belden ◽  
Tima Zeng ◽  
Emily Przysinda ◽  
Sheeba Arnold Anteraper ◽  
Susan Whitfield-Gabrieli ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Divergent Thinking ◽  
Network Connectivity ◽  
Salience Network ◽  
Resting State Functional Connectivity ◽  
Cortical Networks ◽  
Music Training ◽  
Classical Musicians ◽  
Visual Network

AbstractJazz improvisation offers a model for creative cognition, as it involves the real-time creation of a novel, information-rich product. Previous research has shown that when musicians improvise, they recruit regions in the Default Mode Network (DMN) and Executive Control Network (ECN). Here, we ask whether these findings from task-fMRI studies might extend to intrinsic differences in resting state functional connectivity. We compared Improvising musicians, Classical musicians, and Minimally Musically Trained (MMT) controls in seed-based functional connectivity and network analyses in resting state functional MRI. We also examined the functional correlates of behavioral performance in musical improvisation and divergent thinking. Seed-based analysis consistently showed higher connectivity in ventral DMN (vDMN) and bilateral ECN in both groups of musically trained individuals as compared to MMT controls, with additional group differences in primary visual network, precuneus network, and posterior salience network. In particular, primary visual network connectivity to DMN and ECN was highest in Improvisational musicians, whereas within-network connectivity of vDMN and precuneus network was higher in both Improvisational and Classical musicians than in MMT controls; in contrast, connectivity between posterior salience network and superior parietal lobule was highest in Classical musicians. Furthermore, graph-theoretical analysis indicated heightened betweenness centrality, clustering, and local efficiency in Classical musicians. Taken together, results suggest that heightened functional connectivity among musicians can be explained by higher within-network connectivity (more tight-knit cortical networks) in Classical musicians, as opposed to more disperse, globally-connected cortical networks in Improvisational musicians.HighlightsMusic training is associated with higher resting state connectivityHigher connectivity in Improvisational musicians from visual network to ECN and DMNClassical musicians show higher vDMN and Precuneus within-network connectivityImprovisation and divergent thinking performance correlate with similar connectivity patterns

scholarly journals Macroscopic cortical dynamics: Spatially uncorrelated but temporally coherent rich-club organisations in source-space resting-state EEG

2020 ◽  
Author(s):  
Steve Mehrkanoon
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Complex Dynamics ◽  
Cortical Activity ◽  
Computational Technique ◽  
Salience Network ◽  
Resting State Functional Connectivity ◽  
Default Mode ◽  
Rich Club ◽  
Topological Features

AbstractSynchronous oscillations of neuronal populations support resting-state cortical activity. Recent studies indicate that resting-state functional connectivity is not static, but exhibits complex dynamics. The mechanisms underlying the complex dynamics of cortical activity have not been well characterised. Here, we directly apply singular value decomposition (SVD) in source-reconstructed electroencephalography (EEG) in order to characterise the dynamics of spatiotemporal patterns of resting-state functional connectivity. We found that changes in resting-state functional connectivity were associated with distinct complex topological features, “Rich-Club organisation”, of the default mode network, salience network, and motor network. Rich-club topology of the salience network revealed greater functional connectivity between ventrolateral prefrontal cortex and anterior insula, whereas Rich-club topologies of the default mode networks revealed bilateral functional connectivity between fronto-parietal and posterior cortices. Spectral analysis of the dynamics underlying Rich-club organisations of these source-space network patterns revealed that resting-state cortical activity exhibit distinct dynamical regimes whose intrinsic expressions contain fast oscillations in the alpha-beta band and with the envelope-signal in the timescale of < 0.1 Hz. Our findings thus demonstrated that multivariate eigen-decomposition of source-reconstructed EEG is a reliable computational technique to explore how dynamics of spatiotemporal features of the resting-state cortical activity occur that oscillate at distinct frequencies.

scholarly journals Altered Resting-State Functional Connectivity in Cortical Networks in Psychopathy

2015 ◽  
Vol 35 (15) ◽  
pp. 6068-6078 ◽  
Author(s):  
Carissa L. Philippi ◽  
Maia S. Pujara ◽  
Julian C. Motzkin ◽  
Joseph Newman ◽  
Kent A. Kiehl ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Resting State Functional Connectivity ◽  
Cortical Networks

scholarly journals Gamma-hydroxybutyrate increases brain resting-state functional connectivity of the salience network and dorsal nexus in humans

NeuroImage ◽  
2018 ◽  
Vol 173 ◽  
pp. 448-459 ◽  
Author(s):  
Oliver G. Bosch ◽  
Fabrizio Esposito ◽  
Dario Dornbierer ◽  
Michael M. Havranek ◽  
Robin von Rotz ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Salience Network ◽  
Resting State Functional Connectivity ◽  
Gamma Hydroxybutyrate

scholarly journals Resting-state brain function in schizophrenia and psychotic bipolar probands and their first-degree relatives

2014 ◽  
Vol 45 (1) ◽  
pp. 97-108 ◽  
Author(s):  
S. Lui ◽  
L. Yao ◽  
Y. Xiao ◽  
S. K. Keedy ◽  
J. L. Reilly ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Low Frequency ◽  
Network Connectivity ◽  
Orbital Frontal Cortex ◽  
Cortical Networks ◽  
First Degree Relatives ◽  
Family Associations ◽  
Brain Functional Connectivity ◽  
Psychotic Bipolar Disorder

BackgroundSchizophrenia (SCZ) and psychotic bipolar disorder (PBD) share considerable overlap in clinical features, genetic risk factors and co-occurrence among relatives. The common and unique functional cerebral deficits in these disorders, and in unaffected relatives, remain to be identified.MethodA total of 59 healthy controls, 37 SCZ and 57 PBD probands and their unaffected first-degree relatives (38 and 28, respectively) were studied using resting-state functional magnetic resonance imaging (rfMRI). Regional cerebral function was evaluated by measuring the amplitude of low-frequency fluctuations (ALFF). Areas with ALFF alterations were used as seeds in whole-brain functional connectivity analysis. We then tested whether abnormalities identified in probands were present in unaffected relatives.ResultsSCZ and PBD probands both demonstrated regional hypoactivity in the orbital frontal cortex and cingulate gyrus, as well as abnormal connectivity within striatal-thalamo-cortical networks. SCZ probands showed greater and more widely distributed ALFF alterations including the thalamus and bilateral parahippocampal gyri. Increased parahippocampal ALFF was related to positive symptoms and cognitive deficit. PBD patients showed uniquely increased functional connectivity between the thalamus and bilateral insula. Only PBD relatives showed abnormal connectivity within striatal-thalamo-cortical networks seen in both proband groups.ConclusionsThe present findings reveal a common pattern of deficits in frontostriatal circuitry across SCZ and PBD, and unique regional and functional connectivity abnormalities that distinguish them. The abnormal network connectivity in PBD relatives that was present in both proband groups may reflect genetic susceptibility associated with risk for psychosis, but within-family associations of this measure were not high.

scholarly journals The Interaction of Child Abuse and rs1360780 of the FKBP5 Gene is Associated with Amygdala Resting-State Functional Connectivity in Young Adults

2020 ◽  
Author(s):  
Christiane Wesarg ◽  
Ilya M. Veer ◽  
Nicole Y. L. Oei ◽  
Laura S. Daedelow ◽  
Tristram A. Lett ◽  
...  
Keyword(s):  
Child Abuse ◽  
Functional Connectivity ◽  
Resting State ◽  
Life Stress ◽  
Salience Network ◽  
Resting State Functional Connectivity ◽  
Brain Areas ◽  
Functional Changes ◽  
Intermediate Phenotypes ◽  
History Of

AbstractExtensive research has demonstrated that rs1360780, a common single nucleotide polymorphism within the FKBP5 gene, interacts with early-life stress in predicting psychopathology. Previous results suggest that carriers of the TT genotype of rs1360780 who were exposed to child abuse show differences in structure and functional activation of emotion-processing brain areas belonging to the salience network. Extending these findings on intermediate phenotypes of psychopathology, we examined if the interaction between rs1360780 and child abuse predicts resting-state functional connectivity (rsFC) between the amygdala and other areas of the salience network. We analyzed data of young European adults from the general population (N = 774; mean age = 18.76 years) who took part in the IMAGEN study. In the absence of main effects of genotype and abuse, a significant interaction effect was observed for rsFC between the right centromedial amygdala and right posterior insula (p < .025, FWE-corrected), which was driven by stronger rsFC in TT allele carriers with a history of abuse. Our results suggest that the TT genotype of rs1360780 may render individuals with a history of abuse more vulnerable to functional changes in communication between brain areas processing emotions and bodily sensations, which could underlie or increase risk for psychopathology.

scholarly journals Advanced Meditation Alters Resting-State Brain Network Connectivity Correlating With Improved Mindfulness

2021 ◽  
Vol 12 ◽  
Author(s):  
Ramana V. Vishnubhotla ◽  
Rupa Radhakrishnan ◽  
Kestas Kveraga ◽  
Rachael Deardorff ◽  
Chithra Ram ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Network Connectivity ◽  
Blood Oxygen Level Dependent ◽  
Brain Network ◽  
Resting State Functional Connectivity ◽  
Blood Oxygen Level ◽  
Default Mode ◽  
Before And After ◽  
Brain Network Connectivity

Purpose: The purpose of this study was to investigate the effect of an intensive 8-day Samyama meditation program on the brain functional connectivity using resting-state functional MRI (rs-fMRI).Methods: Thirteen Samyama program participants (meditators) and 4 controls underwent fMRI brain scans before and after the 8-day residential meditation program. Subjects underwent fMRI with a blood oxygen level dependent (BOLD) contrast at rest and during focused breathing. Changes in network connectivity before and after Samyama program were evaluated. In addition, validated psychological metrics were correlated with changes in functional connectivity.Results: Meditators showed significantly increased network connectivity between the salience network (SN) and default mode network (DMN) after the Samyama program (p &lt; 0.01). Increased connectivity within the SN correlated with an improvement in self-reported mindfulness scores (p &lt; 0.01).Conclusion: Samyama, an intensive silent meditation program, favorably increased the resting-state functional connectivity between the salience and default mode networks. During focused breath watching, meditators had lower intra-network connectivity in specific networks. Furthermore, increased intra-network connectivity correlated with improved self-reported mindfulness after Samyama.Clinical Trials Registration: [https://clinicaltrials.gov], Identifier: [NCT04366544]. Registered on 4/17/2020.

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