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Pacheco LB, Feuerriegel D, Jach HK, Robinson E, Duong VN, Bode S, Smillie LD. Disentangling periodic and aperiodic resting EEG correlates of personality. Neuroimage 2024; 293:120628. [PMID: 38688430 DOI: 10.1016/j.neuroimage.2024.120628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 04/26/2024] [Accepted: 04/27/2024] [Indexed: 05/02/2024] Open
Abstract
Previous studies of resting electroencephalography (EEG) correlates of personality traits have conflated periodic and aperiodic sources of EEG signals. Because these are associated with different underlying neural dynamics, disentangling them can avoid measurement confounds and clarify findings. In a large sample (n = 300), we investigated how disentangling these activities impacts findings related to two research programs within personality neuroscience. In Study 1 we examined associations between Extraversion and two putative markers of reward sensitivity-Left Frontal Alpha asymmetry (LFA) and Frontal-Posterior Theta (FPT). In Study 2 we used machine learning to predict personality trait scores from resting EEG. In both studies, power within each EEG frequency bin was quantified as both total power and separate contributions of periodic and aperiodic activity. In Study 1, total power LFA and FPT correlated negatively with Extraversion (r ∼ -0.14), but there was no relation when LFA and FPT were derived only from periodic activity. In Study 2, all Big Five traits could be decoded from periodic power (r ∼ 0.20), and Agreeableness could also be decoded from total power and from aperiodic indices. Taken together, these results show how separation of periodic and aperiodic activity in resting EEG may clarify findings in personality neuroscience. Disentangling these signals allows for more reliable findings relating to periodic EEG markers of personality, and highlights novel aperiodic markers to be explored in future research.
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Affiliation(s)
- Luiza Bonfim Pacheco
- Melbourne School of Psychological Sciences, The University of Melbourne, Victoria, Australia.
| | - Daniel Feuerriegel
- Melbourne School of Psychological Sciences, The University of Melbourne, Victoria, Australia
| | - Hayley K Jach
- Hector Research Institute of Education Sciences and Psychology, University of Tübingen, Tübingen, Germany
| | - Elizabeth Robinson
- Melbourne School of Psychological Sciences, The University of Melbourne, Victoria, Australia; Bolton Clarke Research Institute, Melbourne, Victoria, Australia
| | - Vu Ngoc Duong
- Melbourne School of Psychological Sciences, The University of Melbourne, Victoria, Australia
| | - Stefan Bode
- Melbourne School of Psychological Sciences, The University of Melbourne, Victoria, Australia
| | - Luke D Smillie
- Melbourne School of Psychological Sciences, The University of Melbourne, Victoria, Australia
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Kulke L, Ertugrul S, Reyentanz E, Thomas V. Uncomfortable staring? Gaze to other people in social situations is inhibited in both infants and adults. Dev Sci 2024; 27:e13468. [PMID: 38135924 DOI: 10.1111/desc.13468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 10/06/2023] [Accepted: 12/01/2023] [Indexed: 12/24/2023]
Abstract
People attract infants' and adults' gaze when presented on a computer screen. However, in live social situations, adults inhibit their gaze at strangers to avoid sending inappropriate social signals. Such inhibition of gaze has never been directly investigated in infants. The current preregistered study measured gaze and neural responses (EEG alpha power) to a confederate in a live social situation compared to a video of this confederate. Adults looked less at the live confederate than at the video of the confederate, although their neural responses suggest that they were overall equally attentive in both situations. Infants also looked less at the live confederate than at the video of the confederate, with similar neural response patterns. The gaze difference between live social and video situations increased with age. The study shows that young infants are already sensitive to social context and show decreased gaze to strangers in social situations. RESEARCH HIGHLIGHTS: This study shows that infants and adults look more at a video of a stranger than at a stranger that is present live in a social situation. Neural responses suggest that adults are equally attentive in both live and video situations but inhibit their gaze at the stranger in live social situations. Infants show a similar pattern of shorter gaze at a stranger who is present in person than at a video of this stranger. The study shows that gaze in infants and adults may diverge from cognitive processes measured through EEG, highlighting the importance of combining behavioural and neural measures in natural interactions.
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Affiliation(s)
- Louisa Kulke
- Developmental Psychology with Educational Psychology, University of Bremen, Bremen, Germany
- Neurocognitive Developmental Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Sahura Ertugrul
- Developmental Psychology with Educational Psychology, University of Bremen, Bremen, Germany
- Neurocognitive Developmental Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Emely Reyentanz
- Neurocognitive Developmental Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Vanessa Thomas
- Neurocognitive Developmental Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
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Talukder A, Yeung D, Li Y, Anandanadarajah N, Umbach DM, Fan Z, Li L. Comparison of power spectra from overnight electroencephalography between patients with Down syndrome and matched control subjects. J Sleep Res 2024:e14187. [PMID: 38410055 DOI: 10.1111/jsr.14187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 01/31/2024] [Accepted: 02/16/2024] [Indexed: 02/28/2024]
Abstract
Electroencephalograms can capture brain oscillatory activities during sleep as a form of electrophysiological signals. We analysed electroencephalogram recordings from full-night in-laboratory polysomnography from 100 patients with Down syndrome, and 100 age- and sex-matched controls. The ages of patients with Down syndrome spanned 1 month to 31 years (median 4.4 years); 84 were younger than 12 years, and 54 were male. From each electroencephalogram, we extracted relative power in six frequency bands or rhythms (delta, theta, alpha, slow sigma, fast sigma, and beta) from six channels (frontal F3 and F4, central C3 and C4, and occipital O1 and O2) during five sleep stages (N3, N2, N1, R and W)-180 features in all. We examined differences in relative power between Down syndrome and control electroencephalograms for each feature separately. During wake and N1 sleep stages, alpha rhythms (8.0-10.5 Hz) had significantly lower power in patients with Down syndrome than controls. Moreover, the rate of increase in alpha power with age during rapid eye movement sleep was significantly slower in Down syndrome than control subjects. During wake and N1 sleep, delta rhythms (0.25-4.5 Hz) had higher power in patients with Down syndrome than controls. During N2 sleep, slow sigma rhythms (10.5-12.5 Hz) had lower power in patients with DS than controls. These findings extend previous research from routine electroencephalogram studies demonstrating that patients with Down syndrome had reduced circadian amplitude-the difference between wake alpha power and deep sleep delta power was smaller in Down syndrome than control subjects. We envision that these brain oscillatory activities may be used as surrogate markers for clinical trials for patients with Down syndrome.
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Affiliation(s)
- Amlan Talukder
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, North Carolina, USA
| | - Deryck Yeung
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, North Carolina, USA
| | - Yuanyuan Li
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, North Carolina, USA
| | - Nishanth Anandanadarajah
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, North Carolina, USA
| | - David M Umbach
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, North Carolina, USA
| | - Zheng Fan
- Division of Sleep Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Leping Li
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, North Carolina, USA
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Rüesch A, Ip CT, Bankwitz A, Villar de Araujo T, Hörmann C, Adank A, Schoretsanitis G, Kleim B, Olbrich S. EEG wakefulness regulation in transdiagnostic patients after a recent suicide attempt. Clin Neurophysiol 2023; 156:272-280. [PMID: 37749014 DOI: 10.1016/j.clinph.2023.08.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 08/11/2023] [Accepted: 08/22/2023] [Indexed: 09/27/2023]
Abstract
OBJECTIVE Decades of research have not yet produced statistically reliable predictors of preparatory behavior eventually leading to suicide attempts or deaths by suicide. As the nature of suicidal behavior is complex, it is best investigated in a transdiagnostic approach, while assessing objective markers, as proposed by the Research Domain Criteria (Cuthbert, 2013). METHODS A 15-min resting-state EEG was recorded in 45 healthy controls, and 49 transdiagnostic in-patients with a recent (<6 months) suicide attempt. Brain arousal regulation in eyes-closed condition was assessed with the Vigilance Algorithm Leipzig (VIGALL) (Sander et al., 2015). RESULTS A significant incline of median vigilance and vigilance slope was observed in patients within the first 3-min of the EEG recording. Additionally, a significant positive correlation of self-reported suicidal ideation with the vigilance slope over 15-min recording time, as well as a significant negative correlation with EEG vigilance stage A1 during the first 3-min was found. CONCLUSIONS Transdiagnostic patients with a recent suicide attempt show a distinct vigilance regulation pattern. Further studies including a control group consisting of patients without life-time suicide attempts are needed to increase the clinical utility of the findings. SIGNIFICANCE These findings might serve as potential objective markers of suicidal behavior.
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Affiliation(s)
- Annia Rüesch
- University of Zurich, Psychiatric University Hospital Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland.
| | - Cheng-Teng Ip
- Center for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China
| | - Anna Bankwitz
- University of Zurich, Psychiatric University Hospital Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland
| | - Tania Villar de Araujo
- University of Zurich, Psychiatric University Hospital Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland
| | - Christoph Hörmann
- University of Zurich, Psychiatric University Hospital Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland
| | - Atalìa Adank
- University of Zurich, Psychiatric University Hospital Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland
| | - Georgios Schoretsanitis
- Psychiatric University Hospital Zurich, Zurich, Switzerland; The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, NY, USA; Department of Psychiatry, Zucker School of Medicine at Northwell/Hofstra, Hempstead, NY, USA
| | - Birgit Kleim
- University of Zurich, Psychiatric University Hospital Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland; University of Zurich, Institute of Psychology, Experimental Psychopathology and Psychotherapy, Zurich, Switzerland
| | - Sebastian Olbrich
- University of Zurich, Psychiatric University Hospital Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland
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Jawinski P, Markett S, Drewelies J, Düzel S, Demuth I, Steinhagen-Thiessen E, Wagner GG, Gerstorf D, Lindenberger U, Gaser C, Kühn S. Linking Brain Age Gap to Mental and Physical Health in the Berlin Aging Study II. Front Aging Neurosci 2022; 14:791222. [PMID: 35936763 PMCID: PMC9355695 DOI: 10.3389/fnagi.2022.791222] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 06/17/2022] [Indexed: 11/13/2022] Open
Abstract
From a biological perspective, humans differ in the speed they age, and this may manifest in both mental and physical health disparities. The discrepancy between an individual's biological and chronological age of the brain ("brain age gap") can be assessed by applying machine learning techniques to Magnetic Resonance Imaging (MRI) data. Here, we examined the links between brain age gap and a broad range of cognitive, affective, socioeconomic, lifestyle, and physical health variables in up to 335 adults of the Berlin Aging Study II. Brain age gap was assessed using a validated prediction model that we previously trained on MRI scans of 32,634 UK Biobank individuals. Our statistical analyses revealed overall stronger evidence for a link between higher brain age gap and less favorable health characteristics than expected under the null hypothesis of no effect, with 80% of the tested associations showing hypothesis-consistent effect directions and 23% reaching nominal significance. The most compelling support was observed for a cluster covering both cognitive performance variables (episodic memory, working memory, fluid intelligence, digit symbol substitution test) and socioeconomic variables (years of education and household income). Furthermore, we observed higher brain age gap to be associated with heavy episodic drinking, higher blood pressure, and higher blood glucose. In sum, our results point toward multifaceted links between brain age gap and human health. Understanding differences in biological brain aging may therefore have broad implications for future informed interventions to preserve mental and physical health in old age.
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Affiliation(s)
- Philippe Jawinski
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Sebastian Markett
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Johanna Drewelies
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.,Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Ilja Demuth
- Division of Lipid Metabolism, Department of Endocrinology and Metabolic Diseases, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT-Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Division of Lipid Metabolism, Department of Endocrinology and Metabolic Diseases, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Gert G Wagner
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,German Socio-Economic Panel Study (SOEP), Berlin, Germany.,Federal Institute for Population Research (BiB), Berlin, Germany
| | - Denis Gerstorf
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,German Socio-Economic Panel Study (SOEP), Berlin, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Christian Gaser
- Structural Brain Mapping Group, Department of Psychiatry and Neurology, Jena University Hospital, Jena, Germany
| | - Simone Kühn
- Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany.,Department of Psychiatry and Psychotherapy, University Clinic Hamburg Eppendorf, Hamburg, Germany
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