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Inter-subject phase synchronization differentiates neural networks underlying physical pain empathy [article]

Lei Xu, Taylor S Bolt, Jason Nomi, Jialin Li, Xiaoxiao Zheng, Meina Fu, Keith M Kendrick, Benjamin Becker, Lucina Q Uddin
2019 bioRxiv   pre-print
Inter-subject phase synchronization (ISPS) is an approach for exploratory analysis of task-based fMRI data that reveals brain networks dynamically synchronized to task-features across subjects.  ...  We applied ISPS to task-fMRI data assessing vicarious pain empathy in healthy subjects (n=238).  ...  Recently, an inter-subject phase synchronization (ISPS) analysis which combines the instantaneous phase synchronization measure (Glerean et al., 2012; Kauppi, Pajula, & Tohka, 2014) and independent component  ... 
doi:10.1101/841197 fatcat:uq27qzokdvcrlnsl2cqbnp6il4

Inter-subject phase synchronization differentiates neural networks underlying physical pain empathy

Lei Xu, Taylor Bolt, Jason S Nomi, Jialin Li, Xiaoxiao Zheng, Meina Fu, Keith M Kendrick, Benjamin Becker, Lucina Q Uddin
2020 Social Cognitive and Affective Neuroscience  
Inter-subject phase synchronization (ISPS) is an approach for exploratory analysis of task-based fMRI data that reveals brain networks dynamically synchronized to task-features across participants.  ...  No robust network synchronization was observed for affective pain, possibly reflecting high inter-individual variation in response to socially transmitted pain experiences.  ...  Inter-subject phase synchronization (ISPS) analysis Following previous work (Bolt et al., 2018) , preprocessing for the synchronization analysis Thus, the result of the instantaneous phase synchronization  ... 
doi:10.1093/scan/nsaa025 pmid:32128580 pmcid:PMC7304508 fatcat:pgnevq6y6zdtnhbbx4boltulau

Inter-subject phase synchronization and the dynamics of human cognition [article]

Taylor S Bolt, Jason Nomi, Shruti Vij, Catie Chang, Lucina Uddin
2017 bioRxiv   pre-print
Leveraging the property that task-driven brain activity is associated with reductions in BOLD signal variability, we combine the tools of instantaneous phase synchronization and independent component analysis  ...  We applied this novel framework to task fMRI data from a motor, theory of mind and working memory task provided through the Human Connectome Project.  ...  Phase-based representations of fMRI signals have been used successfully in other fMRI analyses 25, 78 , and has been previously validated for measurements of inter-subject synchronization by Independent  ... 
doi:10.1101/167072 fatcat:oldtenshwfbbjlnfvsmclpvcp4

Hyperscanning: A Valid Method to Study Neural Inter-brain Underpinnings of Social Interaction

Artur Czeszumski, Sara Eustergerling, Anne Lang, David Menrath, Michael Gerstenberger, Susanne Schuberth, Felix Schreiber, Zadkiel Zuluaga Rendon, Peter König
2020 Frontiers in Human Neuroscience  
We review the type of methods (fMRI, M/EEG, and fNIRS) that are used to measure brain activity from more than one participant simultaneously and weigh their pros and cons for hyperscanning.  ...  Further, we discuss different types of analyses that are used to estimate brain networks and synchronization.  ...  TYPE OF ANALYSIS The analysis and interpretation of hyperscanning data is a challenging task.  ... 
doi:10.3389/fnhum.2020.00039 pmid:32180710 pmcid:PMC7059252 fatcat:5d27uzzsxfelbmjarwidbcguxe

Hyperscanning neuroimaging technique to reveal the "two-in-one" system in social interactions

Takahiko Koike, Hiroki C. Tanabe, Norihiro Sadato
2015 Neuroscience research  
Hyperscanning EEG-fMRI allows us to use inter-brain effects as neuromarkers of the properties of social interactions in daily life.  ...  However, the disadvantage of this approach is that it is difficult to localize the epicenter of the inter-brain effect. fNIRS has better temporal resolution and portability than fMRI, but has limited spatial  ...  Acknowledgments This study was supported, in part, by Grant-in-Aid for Scientific Research S#21220005 (N.S.) and Challenging Exploratory Research Grant #23650224 (H.C.T.) from the Japan Society for the  ... 
doi:10.1016/j.neures.2014.11.006 pmid:25499683 fatcat:jpucvzoxxbh3tb4f6xfpk6s4vy

Dynamics of task-induced modulation of spontaneous brain activity and functional connectivity in the triple resting-state networks assessed using the visual oddball paradigm

Hasan Sbaihat, Ravichandran Rajkumar, Shukti Ramkiran, Abed Al-Nasser Assi, N. Jon Shah, Tanja Veselinović, Irene Neuner, David V. Smith
2021 PLoS ONE  
Furthermore, the inter-network analysis showed an increased synchronization of CEN with the DMN and the SN immediately after the task, but not between the DMN and SN.  ...  We have investigated the effects of the visual-oddball paradigm on three fMRI measures (amplitude of low-frequency fluctuations for RSA, regional homogeneity for local FC, and degree centrality for global  ...  Acknowledgments This study is considered to be part of the doctoral thesis (Dr. rer. medic.) of Mr. Hasan Sbaihat, Faculty of Medicine, RWTH Aachen University, Germany.  ... 
doi:10.1371/journal.pone.0246709 pmid:34735449 pmcid:PMC8568109 fatcat:dncsbhjntratlgx336hf4soxym

Perceived Conventionality in Co-speech Gestures Involves the Fronto-Temporal Language Network

Dhana Wolf, Linn-Marlen Rekittke, Irene Mittelberg, Martin Klasen, Klaus Mathiak
2017 Frontiers in Human Neuroscience  
It is well documented that neural correlates of such naturalistic videos emerge as intersubject covariance (ISC) in fMRI even without involving a stimulus (model-free analysis).  ...  Indeed, the conventionality task significantly increased covariance of the button press time series and neuronal synchronization in the left IFG over the comparison with other tasks.  ...  Ugur Töman, Marlien Rubner, and Bela Brenger for assistance with processing the stimulus material, and the speakers and participants for participating in various steps of the study.  ... 
doi:10.3389/fnhum.2017.00573 pmid:29249945 pmcid:PMC5714878 fatcat:2odxudu5kbgxrp22iembg7x4hi

Concurrent tACS-fMRI Reveals Causal Influence Of Power Synchronized Neural Activity On Resting State fMRI Connectivity [article]

Marc Baechinger, Valerio Zerbi, Marius Moisa, Rafael Polania, Quanying Liu, Dante Mantini, Christian Ruff, Nicole Wenderoth
2017 bioRxiv   pre-print
Power-synchronized tACS significantly increased rs-fMRI connectivity within the stimulated RSN compared to phase-synchronized or no tACS.  ...  Using this novel approach, our data provide causal evidence that synchronized power fluctuations contribute to the formation of fMRI-based RSNs.  ...  Acknowledgements The authors would like to thank Karl Treiber for scanning assistance and Daniel Woolley for feedback on the manuscript.  ... 
doi:10.1101/122820 fatcat:m74hgfwdyndbbmgitp6fqr2wsi

Leading the follower: An fMRI investigation of dynamic cooperativity and leader–follower strategies in synchronization with an adaptive virtual partner

Merle T. Fairhurst, Petr Janata, Peter E. Keller
2014 NeuroImage  
Using participants' subjective ratings of influence and task difficulty, we classified a subgroup of our cohort as "leaders", individuals who found the task of synchronizing easier when they felt more  ...  In the present study, we present a novel approach to explore the mechanisms of how individuals lead and, using functional magnetic resonance imaging (fMRI), probe the neural correlates of leading.  ...  For group statistics, analysis was carried out using FEAT (FMRI Expert Analysis Tool) with higher-level analysis carried out using FLAME (FMRIB's Local Analysis of Mixed Effects).  ... 
doi:10.1016/j.neuroimage.2013.09.027 pmid:24064075 fatcat:usgf5r6dinhfpahwhwcv6boziq

Neural Mechanisms of Social Emotion Perception: An EEG Hyper-Scanning Study

Li Zhu, Fabien Lotte, Gaochao Cui, Junhua Li, Changle Zhou, Andrzej Cichocki
2018 2018 International Conference on Cyberworlds (CW)  
In the exploration of connectivity using phase locking value (PLV), we found that there are significant differences among different frequency bands for each subject under positive and negative stimuli  ...  In the classification analysis, we compared the hyper-features for two individual subjects separately, the performance was improved when hyper-features of the PLV was employed compared to the features  ...  [12] and the authors presented a game of deception between pairs of subjects through fMRI-based hyper-scanning.  ... 
doi:10.1109/cw.2018.00045 dblp:conf/cw/ZhuLCLZC18 fatcat:2sj7i4oq2nbgdouater7uyook4

Personality Functioning and the Cortical Midline Structures – An Exploratory fMRI Study

Stephan Doering, Björn Enzi, Cornelius Faber, Jens Hinrichs, Judith Bahmer, Georg Northoff, Katharina Domschke
2012 PLoS ONE  
way in fMRI during both, emotionand reward-related tasks.  ...  Methods: Conducting an exploratory study with a dimensional approach, we here compared subjects with high and low level of personality functioning and identity integration as measured in a standardized  ...  For the monetary incentive delay task (1st run), all relevant conditions, i.e. anticipation of reward, anticipation of punishment, anticipation of no outcome, their feedback phase according to task performance  ... 
doi:10.1371/journal.pone.0049956 pmid:23189175 pmcid:PMC3506600 fatcat:bsv6uvjasfeuvcwr3lbgh6xovm

A versatile software package for inter-subject correlation based analyses of fMRI

Jukka-Pekka Kauppi, Juha Pajula, Jussi Tohka
2014 Frontiers in Neuroinformatics  
Analysis, and Computational Sciences Program.  ...  ACKNOWLEDGMENTS FUNDING This research has been supported by the Academy of Finland under the grants 130275, 263785 to Jussi Tohka and under the National Centers of Excellence Programme in Algorithmic Data  ...  Time-window ISC computes ISC maps for several consecutive time-frames. Inter-subject phase synchronization combines the localization of inter-subject similarities in space, time, and frequency.  ... 
doi:10.3389/fninf.2014.00002 pmid:24550818 pmcid:PMC3907702 fatcat:ak2lco7zfjdd7dkamfx3d6uguy

Mind over chatter: Plastic up-regulation of the fMRI salience network directly after EEG neurofeedback

Tomas Ros, Jean Théberge, Paul A. Frewen, Rosemarie Kluetsch, Maria Densmore, Vince D. Calhoun, Ruth A. Lanius
2013 NeuroImage  
In this study with 34 healthy participants, we examined whether during the performance of an attentional task, the functional connectivity of distinct fMRI networks would be plastically altered after a  ...  Our findings provide neurobehavioral evidence for the brain's exquisite functional plasticity, and for a temporally direct impact of NFB on a key cognitive control network, suggesting a promising basis  ...  Acknowledgments We thank The Foundation for Neurofeedback and Applied Neuroscience, in particular H. John Fisher, for generously providing the neurofeedback hardware and software.  ... 
doi:10.1016/j.neuroimage.2012.09.046 pmid:23022326 pmcid:PMC5051955 fatcat:6z775inssvgptkuhpaixxztfxa

Mid-Task Break Improves Global Integration of Functional Connectivity in Lower Alpha Band

Junhua Li, Julian Lim, Yu Chen, Kianfoong Wong, Nitish Thakor, Anastasios Bezerianos, Yu Sun
2016 Frontiers in Human Neuroscience  
Phase lag index (PLI) was then employed to measure functional connectivity strengths for all pairs of EEG channels.  ...  Taken together, our findings provide insights into the substrates of brain functional dysconnectivity patterns for mental fatigue and reiterate the effectiveness of the mid-task break on maintaining brain  ...  ACKNOWLEDGMENTS The authors thank the National University of Singapore for supporting the Cognitive Engineering Group at the Singapore Institute for Neurotechnology (SINAPSE) under grant R-719-001-102-  ... 
doi:10.3389/fnhum.2016.00304 pmid:27378894 pmcid:PMC4911415 fatcat:saiz7fpa6vfn5aomioo7x266gm

Magnetoencephalographic and functional MRI connectomics in schizophrenia via intra- and inter-network connectivity

Jon M. Houck, Mustafa S. Çetin, Andrew R. Mayer, Juan R. Bustillo, Julia Stephen, Cheryl Aine, Jose Cañive, Nora Perrone-Bizzozero, Robert J. Thoma, Matthew J. Brookes, Vince D. Calhoun
2017 NeuroImage  
This analysis enables group-level inference and testing of between-group differences.  ...  We developed a novel MEG approach for estimation of networks using MEG that incorporates spatial independent component analysis (ICA) and pairwise correlations between independent component timecourses  ...  Acknowledgments Research reported in this publication was supported by the National Institute for Research Resources, National Institute of General Medical Sciences, and National Institute on Alcohol Abuse  ... 
doi:10.1016/j.neuroimage.2016.10.011 pmid:27725313 pmcid:PMC5179295 fatcat:i64ogjaegrfjbogvomt33ck7km
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