Research Article
No access
Published Online: 17 October 2018

Resting Brain Functional Networks and Trait Coping

Publication: Brain Connectivity
Volume 8, Issue Number 8

Abstract

This study aims to investigate the effects of individual differences in trait coping on brain networks at rest using electroencephalography (EEG) data. EEG recordings were processed using graph theory analysis. Active and passive coping styles were determined according to the factor structure of the Brief Coping Orientation to Problems Experienced questionnaire. A structural equation modeling analysis indicated that the influence of coping strategies on quality of life varies in strength and direction. In particular, active coping strategies were positively correlated with the psychological dimension. Graph measures, at both global and nodal levels, were used to identify the brain network properties in accordance with passive versus active coping styles. Preliminary evidence showed that both the global and nodal graph metrics were affected by the coping strategy in the delta band. During resting state, passive coping strategy participants had network topology characterized by a high global efficiency, indicating an important level of integration between distant brain areas and a high local efficiency and transitivity, suggesting a high local communication between adjacent regions. Various regions, such as the paracentral lobule, posterior cingulate, and other frontal or parietal areas, seemed to play a key role, suggesting that processes such as emotional load are highly solicited in passive coping individuals. In active coping participants, the superior temporal gyrus seemed to be of importance when neurons oscillated in the theta and alpha frequencies.

Get full access to this article

View all available purchase options and get full access to this article.

References

Achard S, Delon-Martin C, Vértes PE, Renard F, Schenck M, Schneider F, Heinrich C, Kremer S, Bullmore ET. 2012. Hubs of brain functional networks are radically reorganized in comatose patients. Proc Natl Acad Sci U S A 109:20608–20613.
Aftanas LI, Reva NV, Varlamov AA, Pavlov SV, Makhnev VP. 2004. Analysis of evoked EEG synchronization and desynchronization in conditions of emotional activation in humans: temporal and topographic characteristics. Neurosci Behav Physiol 34:859–867.
Aldao A, Nolen-Hoeksema S, Schweizer S. 2010. Emotion-regulation strategies across psychopathology: a meta-analytic review. Clin Psychol Rev 30:217–237.
Allen EA, Damaraju E, Eichele T, Wu L, Calhoun VD. 2018. EEG signatures of dynamic functional network connectivity states. Brain Topogr 31:101–116.
Amoyal NR, Mason ST, Gould NF, Corry N, Mahfouz S, Barkey A, Fauerbach JA. 2011. Measuring coping behavior in patients with major burn injuries: a psychometric evaluation of the BCOPE. J Burn Care Res Off Publ Am Burn Assoc 32:392–398.
Anthony EK. 2008. Cluster profiles of youths living in urban poverty: factors affecting risk and resilience. Soc Work Res 32:6–17.
Babiloni C, Triggiani AI, Lizio R, Cordone S, Tattoli G, Bevilacqua V, et al. 2016. Classification of single normal and Alzheimer's disease individuals from cortical sources of resting state EEG rhythms. Front Neurosci 10:47.
Başar E, Başar-Eroglu C, Karakaş S, Schürmann M. 2001. Gamma, alpha, delta, and theta oscillations govern cognitive processes. Int J Psychophysiol Off J Int Organ Psychophysiol 39:241–248.
Baumann C, Erpelding M-L, Régat S, Collin J-F, Briançon S. 2010. The WHOQOL-BREF questionnaire: French adult population norms for the physical health, psychological health and social relationship dimensions. Rev Epidemiol Sante Publique 58:33–39.
Baumstarck K, Alessandrini M, Hamidou Z, Auquier P, Leroy T, Boyer L. 2017. Assessment of coping: a new French four-factor structure of the brief COPE inventory. Health Qual Life Outcomes 15:8.
Bigdely-Shamlo N, Mullen T, Kothe C, Su K-M, Robbins KA. 2015. The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Front Neuroinform 9:16.
Bollen K, Lennox R. 1991. Conventional wisdom on measurement: a structural equation perspective. Psychol Bull 110:305–314.
Brown GK, Nicassio PM. 1987. Development of a questionnaire for the assessment of active and passive coping strategies in chronic pain patients. Pain 31:53–64.
Bullmore ET, Bassett DS. 2011. Brain graphs: graphical models of the human brain connectome. Annu Rev Clin Psychol 7:113–140.
Bush G, Luu P, Posner MI. 2000. Cognitive and emotional influences in anterior cingulate cortex. Trends Cogn Sci 4:215–222.
Canli T, Zhao Z, Desmond JE, Kang E, Gross J, Gabrieli JD. 2001. An fMRI study of personality influences on brain reactivity to emotional stimuli. Behav Neurosci 115:33–42.
Cappeliez P, Robitaille A. 2010. Coping mediates the relationships between reminiscence and psychological well-being among older adults. Aging Ment Health 14:807–818.
Carver CS. 1997. You want to measure coping but your protocol's too long: consider the brief COPE. Int J Behav Med 4:92–100.
Carver CS, Scheier MF. 1994. Situational coping and coping dispositions in a stressful transaction. J Pers Soc Psychol 66:184–195.
Carver CS, Scheier MF, Weintraub JK. 1989. Assessing coping strategies: a theoretically based approach. J Pers Soc Psychol 56:267–283.
Cavanna AE, Trimble MR. 2006. The precuneus: a review of its functional anatomy and behavioural correlates. Brain J Neurol 129:564–583.
Chaumon M, Bishop DVM, Busch NA. 2015. A practical guide to the selection of independent components of the electroencephalogram for artifact correction. J Neurosci Methods 250:47–63.
Connor-Smith JK, Compas BE, Wadsworth ME, Thomsen AH, Saltzman H. 2000. Responses to stress in adolescence: measurement of coping and involuntary stress responses. J Consult Clin Psychol 68:976–992.
Corsi-Cabrera M, Galindo-Vilchis L, del-Río-Portilla Y, Arce C, Ramos-Loyo J. 2007. Within-subject reliability and inter-session stability of EEG power and coherent activity in women evaluated monthly over nine months. Clin Neurophysiol Off J Int Fed Clin Neurophysiol 118:9–21.
Delamillieure P, Doucet G, Mazoyer B, Turbelin M-R, Delcroix N, Mellet E, et al. 2010. The resting state questionnaire: an introspective questionnaire for evaluation of inner experience during the conscious resting state. Brain Res Bull 81:565–573.
Delorme A, Makeig S. 2004. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods 134:9–21.
Diaz BA, Van Der Sluis S, Benjamins JS, Stoffers D, Hardstone R, Mansvelder HD, et al. 2014. The ARSQ 2.0 reveals age and personality effects on mind-wandering experiences. Front Psychol 5:271.
Doron J, Trouillet R, Gana K, Boiché J, Neveu D, Ninot G. 2014. Examination of the hierarchical structure of the Brief COPE in a French sample: empirical and theoretical convergences. J Pers Assess 96:567–575.
Egner T, Monti JMP, Trittschuh EH, Wieneke CA, Hirsch J, Mesulam M-M. 2008. Neural integration of top-down spatial and feature-based information in visual search. J Neurosci Off J Soc Neurosci 28:6141–6151.
Engel AK, Gerloff C, Hilgetag CC, Nolte G. 2013. Intrinsic coupling modes: multiscale interactions in ongoing brain activity. Neuron 80:867–886.
Folkman S. 1997. Positive psychological states and coping with severe stress. Soc Sci Med 45:1207–1221.
Folkman S, Lazarus RS. 1985. If it changes it must be a process: study of emotion and coping during three stages of a college examination. J Pers Soc Psychol 48:150–170.
Folkman S, Moskowitz JT. 2004. Coping: pitfalls and promise. Annu Rev Psychol 55:745–774.
Fuentemilla L, Barnes GR, Düzel E, Levine B. 2014. Theta oscillations orchestrate medial temporal lobe and neocortex in remembering autobiographical memories. NeuroImage 85(Pt 2):730–737.
Goles T, Chin WW. 2005. Information systems outsourcing relationship factors: detailed conceptualization and initial evidence. ACM SIGMIS Database 36:47–67.
Haenlein M, Kaplan AM. 2004. A Beginner's guide to partial least squares analysis. Underst Stat 3:283–297.
Hair JF (ed.). 2014. A Primer on Partial Least Squares Structural Equations Modeling (PLS-SEM). Los Angeles, CA: SAGE. p. 307.
Hamilton JB, Agarwal M, Carter JK, Crandell JL. 2011. Coping profiles common to older African American cancer survivors: relationships with quality of life. J Pain Symptom Manage 41:79–92.
Harmony T. 2013. The functional significance of delta oscillations in cognitive processing. Front Integr Neurosci 7:83.
Hilger K, Ekman M, Fiebach CJ, Basten U. 2017. Intelligence is associated with the modular structure of intrinsic brain networks. Sci Rep 7:16088.
Holahan CJ, Moos RH. 1987. Personal and contextual determinants of coping strategies. J Pers Soc Psychol 52:946–955.
Holz NE, Boecker R, Jennen-Steinmetz C, Buchmann AF, Blomeyer D, Baumeister S, et al. 2016. Positive coping styles and perigenual ACC volume: two related mechanisms for conferring resilience? Soc Cogn Affect Neurosci 11:813–820.
Kabbara A, El Falou W, Khalil M, Wendling F, Hassan M. 2017. The dynamic functional core network of the human brain at rest. Sci Rep 7:2936.
Killingsworth MA, Gilbert DT. 2010. A wandering mind is an unhappy mind. Science 330:932.
Klados MA, Frantzidis C, Vivas AB, Papadelis C, Lithari C, Pappas C, Bamidis PD. 2009. A framework combining delta event-related oscillations (EROs) and synchronisation effects (ERD/ERS) to study emotional processing. Comput Intell Neurosci 2009:1–16.
Kneebone II, Martin PR. 2003. Coping and caregivers of people with dementia. Br J Health Psychol 8:1–17.
Knyazev GG. 2012. EEG delta oscillations as a correlate of basic homeostatic and motivational processes. Neurosci Biobehav Rev 36:677–695.
Kondakor I, Brandeis D, Wackermann J, Kochi K, Koenig T, Frei E, et al. 1997. Multichannel EEG fields during and without visual input: frequency domain model source locations and dimensional complexities. Neurosci Lett 226:49–52.
Kramer U. 2017. Personality, personality disorders, and the process of change. Psychother Res J Soc Psychother Res 1–13.
Li Y, Umeno K, Hori E, Takakura H, Urakawa S, Ono T, Nishijo H. 2009. Global synchronization in the theta band during mental imagery of navigation in humans. Neurosci Res 65:44–52.
Master SL, Amodio DM, Stanton AL, Yee CM, Hilmert CJ, Taylor SE. 2009. Neurobiological correlates of coping through emotional approach. Brain Behav Immun 23:27–35.
Mijalkov M, Kakaei E, Pereira JB, Westman E, Volpe G, Alzheimer's Disease Neuroimaging Initiative. 2017. BRAPH: a graph theory software for the analysis of brain connectivity. PLoS One 12:e0178798.
Milz P, Faber PL, Lehmann D, Kochi K, Pascual-Marqui RD. 2014. sLORETA intracortical lagged coherence during breath counting in meditation-naïve participants. Front Hum Neurosci 8:303.
Miraglia F, Vecchio F, Bramanti P, Rossini PM. 2015. Small-worldness characteristics and its gender relation in specific hemispheric networks. Neuroscience 310:1–11.
Nipp RD, El-Jawahri A, Fishbein JN, Eusebio J, Stagl JM, Gallagher ER, et al. 2016. The relationship between coping strategies, quality of life, and mood in patients with incurable cancer. Cancer 122:2110–2116.
Pascual-Marqui RD, Esslen M, Kochi K, Lehmann D. 2002. Functional imaging with low-resolution brain electromagnetic tomography (LORETA): a review. Methods Find Exp Clin Pharmacol 24(Suppl C):91–95.
Pascual-Marqui RD, Lehmann D, Koukkou M, Kochi K, Anderer P, Saletu B, et al. 2011. Assessing interactions in the brain with exact low-resolution electromagnetic tomography. Philos Trans R Soc Math Phys Eng Sci 369:3768–3784.
Pereira JB, Mijalkov M, Kakaei E, Mecocci P, Vellas B, Tsolaki M, et al. 2016. Disrupted network topology in patients with stable and progressive mild cognitive impairment and Alzheimer's disease. Cereb Cortex 26:3476–3493.
Putman P. 2011. Resting state EEG delta-beta coherence in relation to anxiety, behavioral inhibition, and selective attentional processing of threatening stimuli. Int J Psychophysiol Off J Int Organ Psychophysiol 80:63–68.
Raz S, Dan O, Arad H, Zysberg L. 2013. Behavioral and neural correlates of emotional intelligence: an event-related potentials (ERP) study. Brain Res 1526:44–53.
Riou J, Guyon H, Falissard B. 2016. An introduction to the partial least squares approach to structural equation modelling: a method for exploratory psychiatric research: PLS-SEM in Psychiatric Research. Int J Methods Psychiatr Res 25:220–231.
Rubinov M, Sporns O. 2010. Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52:1059–1069.
Salvador R, Suckling J, Coleman MR, Pickard JD, Menon D, Bullmore E. 2005. Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb Cortex 15:1332–1342.
Santarnecchi E, Sprugnoli G, Tatti E, Mencarelli L, Neri F, Momi D, et al. 2018. Brain functional connectivity correlates of coping styles. Cogn Affect Behav Neurosci 18:495–508.
Skinner EA, Edge K, Altman J, Sherwood H. 2003. Searching for the structure of coping: a review and critique of category systems for classifying ways of coping. Psychol Bull 129:216–269.
Spasojević G, Malobabic S, Pilipović-Spasojević O, Djukić-Macut N, Maliković A. 2013. Morphology and digitally aided morphometry of the human paracentral lobule. Folia Morphol 72:10–16.
Tabei K. 2015. Inferior frontal gyrus activation underlies the perception of emotions, while precuneus activation underlies the feeling of emotions during music listening. Behav Neurol 2015:1–6.
Vanneste S, Joos K, Langguth B, To WT, De Ridder D. 2014. Neuronal correlates of maladaptive coping: an EEG-study in tinnitus patients. PLoS One 9:e88253.
Xu Y, Chun MM. 2009. Selecting and perceiving multiple visual objects. Trends Cogn Sci 13:167–174.
Yarkoni T. 2015. Neurobiological substrates of personality: A critical overview. In: Mikulincer M, Shaver PR, Cooper ML, Larsen RJ (eds.) APA Handbook of Personality and Social Psychology, Volume 4: Personality Processes and Individual Differences. Washington, DC: American Psychological Association; p. 61–83.
Zucchella C, Bartolo M, Pasotti C, Chiapella L, Sinforiani E. 2012. Caregiver burden and coping in early-stage Alzheimer disease. Alzheimer Dis Assoc Disord 26:55–60.

Information & Authors

Information

Published In

cover image Brain Connectivity
Brain Connectivity
Volume 8Issue Number 8October 2018
Pages: 475 - 486
PubMed: 30221547

History

Published online: 17 October 2018
Published in print: October 2018
Published ahead of production: 17 September 2018

Permissions

Request permissions for this article.

Topics

Authors

Affiliations

Veronique Paban [email protected]
Aix Marseille Universite, CNRS, LNSC, Marseille, France.
Claire Deshayes
Aix Marseille Universite, CNRS, LNSC, Marseille, France.
Marie-Hélene Ferrer
Neuroscience and Operational Constraint Department, French Armed Forces Biomedical Research Institute-IRBA, Brétigny-sur-Orge, France.
Arnaud Weill
Aix Marseille Universite, CNRS, LNSC, Marseille, France.
Beatrice Alescio-Lautier
Aix Marseille Universite, CNRS, LNSC, Marseille, France.

Notes

Address correspondence to: Veronique Paban, Aix Marseille Universite, CNRS, LNSC, 3 Place V. Hugo, Marseille 13288, France [email protected]

Author Disclosure Statement

The authors declare that no competing financial interests exist.

Metrics & Citations

Metrics

Citations

Export citation

Select the format you want to export the citations of this publication.

View Options

Get Access

Access content

To read the fulltext, please use one of the options below to sign in or purchase access.

Society Access

If you are a member of a society that has access to this content please log in via your society website and then return to this publication.

Restore your content access

Enter your email address to restore your content access:

Note: This functionality works only for purchases done as a guest. If you already have an account, log in to access the content to which you are entitled.

View options

PDF/EPUB

View PDF/ePub

Full Text

View Full Text

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share on social media

Back to Top