References
- Beaty RE, Benedek M, Wilkins RW, et al. Creativity and the default network: A functional connectivity analysis of the creative brain at rest. Neuropsychologia. 2014;64:92–98.
- Beaty RE, Benedek M, Silvia PJ, et al. Creative cognition and brain network dynamics. Trends Cogn Sci. 2016;20:87–95.
- Pesenti M, Zago L, Crivello F, et al. Mental calculation in a prodigy is sustained by right prefrontal and medial temporal areas. Nat Neurosci. 2001;4:103–107.
- Krueger F, Spampinato MV, Pardini M, et al. Integral calculus problem solving: an fMRI investigation. Neuroreport. 2008;19:1095–1099.
- D'Esposito M, Detre JA, Alsop DC, et al. The neural basis of the central executive system of working memory. Nature. 1995;378:279–281.
- Richeson JA, Baird AA, Gordon HL, et al. An fMRI investigation of the impact of interracial contact on executive function. Nat Neurosci. 2003;6:1323–1328.
- Klados MA, Kanatsouli K, Antoniou I, et al. A graph theoretical approach to study the organization of the cortical networks during different mathematical tasks. PLoS One. 2013;8:e71800.
- Zhang D, Zhao H, Bai W, et al. Functional connectivity among multi-channel EEGs when working memory load reaches the capacity. Brain Res. 2016;1631:101–112.
- Walz JM, Goldman RI, Carapezza M, et al. Simultaneous EEG–fMRI reveals a temporal cascade of task-related and default-mode activations during a simple target detection task. Neuroimage. 2014;102:229–239.
- Sridharan D, Levitin DJ, Menon V. A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proc Natl Acad Sci USA. 2008;105:12569–12574.
- Osaka N, Osaka M, Kondo H, et al. The neural basis of executive function in working memory: an fMRI study based on individual differences. Neuroimage. 2004;21:623–631.
- Ham T, Leff A, de Boissezon X, et al. Cognitive control and the salience network: an investigation of error processing and effective connectivity. J Neurosci. 2013;33:7091–7098.
- McMenamin BW, Langeslag SJE, Sirbu M, et al. Network organization unfolds over time during periods of anxious anticipation. J Neurosci. 2014;34:11261–11273.
- Hermans EJ, Henckens MJAG, Joëls M, et al. Dynamic adaptation of large-scale brain networks in response to acute stressors. Trends Neurosci. 2014;37:304–314.
- Baur V, Hänggi J, Langer N, et al. Resting-state functional and structural connectivity within an insula–amygdala route specifically index state and trait anxiety. Biol Psychiatry. 2013;73:85–92.
- Eysenck MW, Derakshan N, Santos R, et al. Anxiety and cognitive performance: attentional control theory. Emotion. 2007;7:336–353.
- Eysenck MW, Calvo MG. Anxiety and performance: the processing efficiency theory. Cogn Emot. 1992;6:409–434.
- Chen ACN, Feng W, Zhao H, et al. EEG default mode network in the human brain: spectral regional field powers. Neuroimage. 2008;41:561–574.
- Hlinka J, Alexakis C, Diukova A, et al. Slow EEG pattern predicts reduced intrinsic functional connectivity in the default mode network: an inter-subject analysis. Neuroimage. 2010;53:239–246.
- Bowman AD, Griffis JC, Visscher KM, et al. Alpha rhythm and the default mode network: an EEG-fMRI study. Neurology. 2015;84:P6.021.
- Mo J, Liu Y, Huang H, et al. Coupling between visual alpha oscillations and default mode activity. Neuroimage. 2013;68:112–118.
- Sauseng P, Klimesch W, Schabus M, et al. Fronto-parietal EEG coherence in theta and upper alpha reflect central executive functions of working memory. Int J Psychophysiol. 2005;57:97–103.
- Sauseng P, Klimesch W, Doppelmayr M, et al. Theta coupling in the human electroencephalogram during a working memory task. Neurosci Lett. 2004;354:123–126.
- van den Heuvel MP, Stam CJ, Kahn RS, et al. Efficiency of functional brain networks and intellectual performance. J Neurosci. 2009;29:7619–7624.
- Damoiseaux JS, Beckmann CF, Arigita EJS, et al. Reduced resting-state brain activity in the “default network” in normal aging. Cereb Cortex. 2008;18:1856–1864.
- Ghaderi AH, Moradkhani S, Haghighatfard A, et al. Time estimation and beta segregation: an EEG study and graph theoretical approach. PLoS One. 2018;13:e0195380.
- Stam JC. Modern network science of neurological disorders. Nat Rev Neurosci. 2014;15:683–695.
- Ghaderi AH, Andevari MN, Sowman PF. Evidence for a resting state network abnormality in adults who stutter. Front Integr Neurosci. 2018;12:16.
- Menon V, Uddin LQ. Saliency, switching, attention and control: a network model of insula function. Brain Struct Funct. 2010;214:655–667.
- Seeley WW, Menon V, Schatzberg AF, et al. Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci. 2007;27:2349–2356.
- Wu L, Eichele T, Calhoun VD. Reactivity of hemodynamic responses and functional connectivity to different states of alpha synchrony: a concurrent EEG-fMRI study. Neuroimage. 2010;52:1252–1260.
- Scheeringa R, Bastiaansen MCM, Petersson KM, et al. Frontal theta EEG activity correlates negatively with the default mode network in resting state. Int J Psychophysiol. 2008;67:242–251.
- Bradley MM, Lang JP. Measuring emotion: the self-assessment manikin and the semantic differential. J Behav Ther Exp Psychiatry. 1994;25:49–59.
- Ghaderi AH, Nazari MA, Shahrokhi H, et al. Functional brain segregation differences between ADHD presentations: impaired functional segregation in ADHD-combined presentation but not in ADHD-inattentive presentation. Basic Clin Neurosci. 2017;8:267–278.
- Thatcher RW, North DM, Biver CJ. Development of cortical connections as measured by EEG coherence and phase delays. Hum Brain Mapp. 2008;29:1400–1415.
- Rubinov M, Sporns O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage. 2010;52:1059–1069.
- Sanei S, Chambers JA. EEG signal processing. New York (NY): John Wiley & Sons; 2013.
- Watts DJ, Strogatz SH. Collective dynamics of ‘small-world’ networks. Nature. 1998;393:440–442.
- Meghanathan N. Advanced methods for complex network analysis. Hershey (PA): Information Science Reference; 2016.
- Abdi H. Bonferroni and Šidák corrections for multiple comparisons. In: Encyclopedia of Measurement and Statistics, Vol. 3. Thousand Oaks (CA): Sage; 2007, p. 103–107.
- Battaglia FP, Benchenane K, Sirota A, et al. The hippocampus: hub of brain network communication for memory. Trends Cogn Sci. 2011;15:310–318.
- Langer N, von Bastian CC, Wirz H, et al. The effects of working memory training on functional brain network efficiency. Cortex. 2013;49:2424–2438.
- Hardt JV, Kamiya J. Anxiety change through electroencephalographic alpha feedback seen only in high anxiety subjects. Science. 1978;201:79–81.
- Knyazev GG, Savostyanov AN, Levin EA. Alpha oscillations as a correlate of trait anxiety. Int J Psychophysiol. 2004;53:147–160.
- Barry RJ, Clarke AR, Johnstone SJ, et al. EEG differences between eyes-closed and eyes-open resting conditions. Clin Neurophysiol. 2007;118:2765–2773.
- Fink A, Grabner RH, Benedek M, et al. The creative brain: investigation of brain activity during creative problem solving by means of EEG and fMRI. Hum Brain Mapp. 2009;30:734–748.
- Cao Z, Li Y, Hitchman G, et al. Neural correlates underlying insight problem solving: evidence from EEG alpha oscillations. Exp Brain Res. 2015;233:2497–2506.
- Fink A, Benedek M. EEG alpha power and creative ideation. Neurosci Biobehav Rev. 2014;44:111–123.
- Jann K, Dierks T, Boesch C, et al. BOLD correlates of EEG alpha phase-locking and the fMRI default mode network. Neuroimage. 2009;45:903–916.
- Knyazev GG, Slobodskoj-Plusnin JY, Bocharov AV, et al. The default mode network and EEG alpha oscillations: an independent component analysis. Brain Res. 2011;1402:67–79.
- Greicius MD, Supekar K, Menon V, et al. Resting-state functional connectivity reflects structural connectivity in the default mode network. Cereb Cortex. 2009;19:72–78.
- Koshino H, Minamoto T, Yaoi K, et al. Coactivation of the default mode network regions and working memory network regions during task preparation. Sci Rep. 2014;4:5954.
- Greicius MD, Krasnow B, Reiss AL, et al. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci USA. 2003;100:253–258.
- Kropotov J. Quantitative EEG, event-related potentials and neurotherapy. San Diego (CA): Academic Press, Elsevier; 2009.
- Inanaga K. Frontal midline theta rhythm and mental activity. Psychiatry Clin Neurosci. 1998;52:555–566.
- Luu P, Tucker DM, Makeig S. Frontal midline theta and the error-related negativity: neurophysiological mechanisms of action regulation. Clin Neurophysiol. 2004;115:1821–1835.
- Maurer U, Brem S, Liechti M, et al. Frontal midline theta reflects individual task performance in a working memory task. Brain Topogr. 2015;28:127–134.
- Knyazev G, Schutter J, van Honk J. Anxious apprehension increases coupling of delta and beta oscillations. Int J Psychophysiol. 2006;61:283–287.
- Ros T, Théberge J, Frewen PA, et al. Mind over chatter: plastic up-regulation of the fMRI salience network directly after EEG neurofeedback. Neuroimage. 2013;65:324–335.