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
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
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
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
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
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
DeYoung CG (2015) Cybernetic Big Five Theory. J Res Pers 56:33–58. https://doi.org/10.1016/j.jrp.2014.07.004
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
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
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
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
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
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
Comments (0)