Predicting big five personality traits from resting-state EEG connectivity: a connectome predictive modeling study

Akdogan I, Aydin S, Kafaligonul H (2025) Dynamic reorganization of functional networks underlying audiovisual interactions. Sci Rep 15(1):39658. https://doi.org/10.1038/s41598-025-23390-4

Article  CAS  PubMed  PubMed Central  Google Scholar 

Aydın S (2024) Alzhemimer’s Disease is Characterized by Lower Segregation in Resting-State Eyes-Closed EEG. J Med Biol Eng 44(6):894–902 Article 050902. https://doi.org/10.1007/s40846-024-00917-0

Article  Google Scholar 

Bleidorn W, Schwaba T, Zheng A, Hopwood CJ, Sosa SS, Roberts BW, Briley DA (2022) Personality stability and change: A meta-analysis of longitudinal studies. Psychol Bull 148(7–8):588–619. https://doi.org/10.1037/bul0000365

Article  PubMed  Google Scholar 

Bomatter P, Paillard J, Garces P, Hipp J, Engemann DA (2024) Machine learning of brain-specific biomarkers from EEG. EBioMedicine 106:105259. https://doi.org/10.1016/j.ebiom.2024.105259

Article  CAS  PubMed  PubMed Central  Google Scholar 

Cai H, Zhu J, Yu Y (2020) Robust prediction of individual personality from brain functional connectome. Soc Cogn Affect Neurosci 15(3):359–369. https://doi.org/10.1093/scan/nsaa044

Article  PubMed  PubMed Central  Google Scholar 

Cavanagh JF, Frank MJ (2014) Frontal theta as a mechanism for cognitive control. Trends Cogn Sci 18(8):414–421. https://doi.org/10.1016/j.tics.2014.04.012

Article  PubMed  PubMed Central  Google Scholar 

Cavanagh JF, Shackman AJ (2015) Frontal midline theta reflects anxiety and cognitive control: Meta-analytic evidence. J Physiology-Paris 109(1–3):3–15. https://doi.org/10.1016/j.jphysparis.2014.04.003

Article  Google Scholar 

Chhade F, Tabbal J, Paban V, Auffret M, Hassan M, Verin M (2024) Predicting creative behavior using resting-state electroencephalography. Commun Biol 7(1):790. https://doi.org/10.1038/s42003-024-06461-6

Article  PubMed  PubMed Central  Google Scholar 

Chiarion G, Sparacino L, Antonacci Y, Faes L, Mesin L (2023) Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends. Bioeng (Basel) 10(3). https://doi.org/10.3390/bioengineering10030372

Chou T, Deckersbach T, Dougherty DD, Hooley JM (2023) The default mode network and rumination in individuals at risk for depression. Soc Cogn Affect Neurosci 18(1). https://doi.org/10.1093/scan/nsad032

Corr PJ, McNaughton N (2012) Neuroscience and approach/avoidance personality traits: A two stage (valuation–motivation) approach. Neurosci Biobehavioral Reviews 36(10):2339–2354. https://doi.org/10.1016/j.neubiorev.2012.09.013

Article  Google Scholar 

Dang T, Du W, Niu M, Xu Z (2024) The effects of personality traits on learning engagement among college students: the mediating role of emotion regulation. Front Psychol 15:1476437. https://doi.org/10.3389/fpsyg.2024.1476437

Article  PubMed  Google Scholar 

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(1):9–21. https://doi.org/10.1016/j.jneumeth.2003.10.009

Article  PubMed  Google Scholar 

DeYoung CG (2015) Cybernetic Big Five Theory. J Res Pers 56:33–58. https://doi.org/10.1016/j.jrp.2014.07.004

Article  Google Scholar 

DeYoung CG, Beaty RE, Genc E, Latzman RD, Passamonti L, Servaas MN, Wacker J (2022) Personality Neuroscience: An Emerging Field with Bright Prospects. Personal Sci 3. https://doi.org/10.5964/ps.7269

Donoghue T, Haller M, Peterson EJ, Varma P, Sebastian P, Gao R, Noto T, Lara AH, Wallis JD, Knight RT, Shestyuk A, Voytek B (2020) Parameterizing neural power spectra into periodic and aperiodic components. Nat Neurosci 23(12):1655–1665. https://doi.org/10.1038/s41593-020-00744-x

Article  CAS  PubMed  PubMed Central  Google Scholar 

Dubois J, Galdi P, Han Y, Paul LK, Adolphs R (2018) Resting-state functional brain connectivity best predicts the personality dimension of openness to experience. Personal Neurosci 1. https://doi.org/10.1017/pen.2018.8

Eke DO, Bernard A, Bjaalie JG, Chavarriaga R, Hanakawa T, Hannan AJ, Pestilli F (2022) International data governance for neuroscience. Neuron 110(4):600–612. https://doi.org/10.1016/j.neuron.2021.11.017

Article  CAS  PubMed  Google Scholar 

Engel AK, Fries P (2010) Beta-band oscillations—signalling the status quo? Curr Opin Neurobiol 20(2):156–165. https://doi.org/10.1016/j.conb.2010.02.015

Article  CAS  PubMed  Google Scholar 

Engel AK, Gerloff C, Hilgetag CC, Nolte G (2013) Intrinsic coupling modes: multiscale interactions in ongoing brain activity. Neuron 80(4):867–886. https://doi.org/10.1016/j.neuron.2013.09.038

Article  CAS  PubMed  Google Scholar 

Fruehlinger C, Paul K, Wacker J (2024) Can personality traits be predicted from resting-state EEG oscillations? A replication study. Biol Psychol 193:108955. https://doi.org/10.1016/j.biopsycho.2024.108955

Article  PubMed  Google Scholar 

Gil Avila C, Bott FS, Tiemann L, Hohn VD, May ES, Nickel MM, Ploner M (2023) DISCOVER-EEG: an open, fully automated EEG pipeline for biomarker discovery in clinical neuroscience. Sci Data 10(1):613. https://doi.org/10.1038/s41597-023-02525-0

Article  PubMed  PubMed Central  Google Scholar 

Hakim N, Awh E, Vogel EK, Rosenberg MD (2021) Inter-electrode correlations measured with EEG predict individual differences in cognitive ability. Curr Biol 31(22):4998–5008e4996. https://doi.org/10.1016/j.cub.2021.09.036

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hardikar S, McKeown B, Turnbull A, Xu T, Valk SL, Bernhardt BC, Smallwood J (2024) Personality traits vary in their association with brain activity across situations. Commun Biol 7(1):1498. https://doi.org/10.1038/s42003-024-07061-0

Article  PubMed  PubMed Central  Google Scholar 

Hasoon J, Hamilton CA, Schumacher J, Colloby S, Donaghy PC, Thomas AJ, Taylor JP (2024) EEG Functional Connectivity Differences Predict Future Conversion to Dementia in Mild Cognitive Impairment With Lewy Body or Alzheimer Disease. Int J Geriatr Psychiatry 39(9):e6138. https://doi.org/10.1002/gps.6138

Article  PubMed  Google Scholar 

Hegerl U, Hensch T (2014) The vigilance regulation model of affective disorders and ADHD. Neurosci Biobehavioral Reviews 44:45–57. https://doi.org/10.1016/j.neubiorev.2012.10.008

Article  Google Scholar 

Hipp JF, Hawellek DJ, Corbetta M, Siegel M, Engel AK (2012) Large-scale cortical correlation structure of spontaneous oscillatory activity. Nat Neurosci 15(6):884–890. https://doi.org/10.1038/nn.3101

Article  CAS  PubMed  PubMed Central  Google Scholar 

Jach HK, Feuerriegel D, Smillie LD (2020) Decoding personality trait measures from resting EEG: An exploratory report. Cortex 130:158–171. https://doi.org/10.1016/j.cortex.2020.05.013

Article  PubMed  Google Scholar 

Jawinski P, Markett S, Sander C, Huang J, Ulke C, Hegerl U, Hensch T (2021) The Big Five Personality Traits and Brain Arousal in the Resting State. Brain Sci 11(10). https://doi.org/10.3390/brainsci11101272

Jwa AS, Poldrack RA (2022) Addressing privacy risk in neuroscience data: from data protection to harm prevention. J Law Biosci 9(2):lsac025. https://doi.org/10.1093/jlb/lsac025

Article  PubMed  PubMed Central  Google Scholar 

Kaufman SB, Quilty LC, Grazioplene RG, Hirsh JB, Gray JR, Peterson JB, DeYoung CG (2016) Openness to Experience and Intellect Differentially Predict Creative Achievement in the Arts and Sciences. J Pers 84(2):248–258. https://doi.org/10.1111/jopy.12156

Article  PubMed  Google Scholar 

Klimesch W (2012) Alpha-band oscillations, attention, and controlled access to stored information. Trends Cogn Sci 16(12):606–617. https://doi.org/10.1016/j.tics.2012.10.007

Article  PubMed  PubMed Central  Google Scholar 

Korjus K, Uusberg A, Uusberg H, Kuldkepp N, Kreegipuu K, Allik J, Aru J (2015) Personality cannot be predicted from the power of resting state EEG. Front Hum Neurosci 9:63. https://doi.org/10.3389/fnhum.2015.00063

Article  PubMed  PubMed Central  Google Scholar 

Kotov R, Gamez W, Schmidt F, Watson D (2010) Linking big personality traits to anxiety, depressive, and substance use disorders: a meta-analysis. Psychol Bull 136(5):768–821. https://doi.org/10.1037/a0020327

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