State-base dynamic functional connectivity analysis of fMRI data during facial emotional processing

Abrol, A., et al. (2017). Replicability of time-varying connectivity patterns in large resting state fMRI samples. Neuroimage, 163, 160–176.

Article  PubMed  Google Scholar 

Ahmadi, M. (2021). Resting state dynamic functional connectivity in children with attention deficit/hyperactivity disorder. Journal of Neural Engineering, 18(4), 0460d1. https://doi.org/10.1088/1741-2552/ac16b3

Article  Google Scholar 

Allen, E. A., et al. (2014). Tracking whole-brain connectivity dynamics in the resting state. Cerebral Cortex, 24(3), 663–676.

Article  PubMed  Google Scholar 

Allen, E. A., et al. (2018). EEG signatures of dynamic functional network connectivity states. Brain Topography, 31(1), 101–116.

Article  CAS  PubMed  Google Scholar 

Allman, J. M., et al. (2001). The anterior cingulate cortex. The evolution of an interface between emotion and cognition. Annals of the New York Academy of Sciences, 935(1), 107–117.

Article  CAS  PubMed  Google Scholar 

Anticevic, A., Repovs, D. M., Fau -, G., Barch, & Barch, D. M. (2012). Emotion effects on attention, amygdala activation, and functional connectivity in schizophrenia. Schizophrenia Bulletin, 38(5), 967–980.

Article  PubMed  Google Scholar 

Apicella, F., et al. (2013). Fusiform gyrus responses to neutral and emotional faces in children with autism spectrum disorders: A high density ERP study. Behavioural Brain Research, 251, 155–162.

Article  PubMed  Google Scholar 

Aron, A., et al. (2005). Reward, motivation, and emotion systems associated with early-stage intense romantic love. Neurophysiology, 94(1), 327–337.

Article  PubMed  Google Scholar 

Barch, D. M., et al. (2013). Function in the human connectome: Task-fMRI and individual differences in behavior. NeuroImage, 80, 169–189.

Article  PubMed  Google Scholar 

Betzel, R. F., et al. (2016). Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks. NeuroImage, 127, 287–297.

Article  PubMed  Google Scholar 

Cabral, J., et al. (2017). Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest. Scientific Reports, 7(1), 5135.

Article  PubMed  PubMed Central  Google Scholar 

Calhoun, V. D., et al. (2014). The chronnectome: Time-varying connectivity networks as the next frontier in fMRI data discovery. Neuron, 84(2), 262–274.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Chang, C., & Glover, G. H. (2010). Time-frequency dynamics of resting-state brain connectivity measured with fMRI. NeuroImage, 50(1), 81–98.

Article  PubMed  Google Scholar 

Chen, J. E., et al. (2015). Introducing co-activation pattern metrics to quantify spontaneous brain network dynamics. NeuroImage, 111, 476–488.

Article  PubMed  Google Scholar 

Cohen, J. R. (2018). The behavioral and cognitive relevance of time-varying, dynamic changes in functional connectivity. NeuroImage, 180(Pt B), 515–525.

Article  PubMed  Google Scholar 

Craddock, R. C., et al. (2012). A whole brain fMRI atlas generated via spatially constrained spectral clustering. Human Brain Mapping, 33(8), 1914–1928.

Article  PubMed  Google Scholar 

Craig, A. D. (2009). How do you feel–now? The anterior insula and human awareness. Nature Reviews Neuroscience, 10(1), 59–70.

Article  CAS  PubMed  Google Scholar 

Damaraju, E., et al. (2014). Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia. NeuroImage: Clinical, 5, 298–308.

Article  CAS  PubMed  Google Scholar 

Deng, Y., et al. (2016). Gender differences in emotional response: Inconsistency between experience and expressivity. PLoS One, 11(6), e0158666.

Article  PubMed  PubMed Central  Google Scholar 

Dimitriadis, S. I., et al. (2018). Reliability of static and dynamic network metrics in the resting-state: A MEG-beamformed connectivity analysis. Frontiers in Neuroscience, 12, 506.

Article  PubMed  PubMed Central  Google Scholar 

Dimitriadis, S. I., Laskaris, N. A., & Micheloyannis, S. (2015). Transition dynamics of EEG-based network microstates during mental arithmetic and resting wakefulness reflects task-related modulations and developmental changes. Cognitive Neurodynamics, 9(4), 371–387.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ebner, N. C., & Fischer, H. (2014). Emotion and aging: Evidence from brain and behavior. Frontiers in Psychology, 5, 996.

Article  PubMed  PubMed Central  Google Scholar 

Elton, A., & Gao, W. (2015). Task-related modulation of functional connectivity variability and its behavioral correlations. Human Brain Mapping, 36(8), 3260–3272.

Article  PubMed  PubMed Central  Google Scholar 

Epstein, R., et al. (1999). The parahippocampal place area: Recognition, navigation, or encoding? Neuron, 23, 115–125.

Article  CAS  PubMed  Google Scholar 

Etkin, A., Egner, R., Fau -, T., Kalisch, & Kalisch, R. (2011). Emotional processing in anterior cingulate and medial prefrontal cortex. Trends in Cognitive Sciences, 15(2), 85–93.

Article  PubMed  Google Scholar 

Ewbank, M. P., et al. (2018). Psychopathic traits influence amygdala–anterior cingulate cortex connectivity during facial emotion processing. Social Cognitive And Affective Neuroscience, 13(5), 525–534.

Article  PubMed  PubMed Central  Google Scholar 

Fan, J., Liao, Y., & Liu, H. (2015). An overview on the Estimation of large covariance and precision matrices. The Econometrics Journal, 19(1), C1–C32. https://doi.org/10.1111/ectj.12061

Article  Google Scholar 

Fang, F., et al. (2020). Dynamic reorganization of the cortical functional brain network in affective processing and cognitive reappraisal. International Journal of Neural Systems, 30(10), 2050051.

Article  PubMed  Google Scholar 

Friedman, J., Hastie, T., & Tibshirani, R. (2008). Sparse inverse covariance estimation with the graphical lasso. Biostatistics, 9(3), 432–441.

Article  PubMed  Google Scholar 

Fussell, S. R. (2002). The Verbal Communication of Emotion: Introduction and Overview.

Gainotti, G. (2012). Unconscious processing of emotions and the right hemisphere. Neuropsychologia, 50(2), 205–218.

Article  PubMed  Google Scholar 

Gaviria, J. (2022). FMRI network dynamics underpinning the impact of affective carry-over on cognitive control. Research Square.

Gonzalez-Castillo, J., & Bandettini, P. A. (2018). Task-based dynamic functional connectivity: Recent findings and open questions. Neuroimage, 180(Pt B), 526–533.

Article  PubMed  Google Scholar 

Gourabi, S. (2024). Network Dynamics of Emotional Processing: A Structural Balance Theory Approach.

Greicius, M. D., et al. (2007). Resting-state functional connectivity in major depression: Abnormally increased contributions from subgenual cingulate cortex and thalamus. Biological Psychiatry, 62(5), 429–437.

Article  PubMed  PubMed Central  Google Scholar 

Gupta, V., Chopda, M. D., & Pachori, R. (2018). Cross-Subject emotion recognition using flexible analytic wavelet transform from EEG signals. IEEE Sensors Journal, 19(6), 2266–2274. https://doi.org/10.1109/JSEN.2018.2883497

Article  Google Scholar 

Hakimdavoodi, H., & Amirmazlaghani, M. (2020). Using autoregressive-dynamic conditional correlation model with residual analysis to extract dynamic functional connectivity. Journal of Neural Engineering, 17(3), 035008.

Article  PubMed 

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