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Fitzgerald PJ. Frontal Alpha Asymmetry and Its Modulation by Monoaminergic Neurotransmitters in Depression. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2024; 22:405-415. [PMID: 39069680 PMCID: PMC11289606 DOI: 10.9758/cpn.23.1138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 01/22/2024] [Accepted: 02/13/2024] [Indexed: 07/30/2024]
Abstract
Frontal alpha asymmetry (FAA) is an electroencephalography (EEG) measure that quantifies trait-like left versus right hemisphere lateralization in alpha power. Increased FAA indicates relatively greater left than right frontal cortex activation and is associated with enhanced reward-related approach behaviors rather than avoidance or withdrawal. Studies dating back several decades have often suggested that having greater FAA supports enhanced positive affect and protection against major depressive disorder (MDD), whereas having greater right frontal activation (i.e., reduced FAA) is associated with negative affect and risk for MDD. While this hypothesis is widely known, a number of other studies instead have found increased FAA in MDD, or evidence that either leftward or rightward bias in FAA is associated with depression. Here we briefly review the literature on leftward or rightward lateralization in FAA in MDD, and find much evidence that MDD is not always characterized by reduced FAA. We also review the limited literature on FAA and monoaminergic neurotransmitter systems, including pharmacologic agents that act on them. Studies of serotonin in particular provide genetic and pharmacologic evidence for modulation of FAA, where some of these data may suggest that serotonin reduces FAA. In a synthesis of the collective literature on FAA and the monoamines, we suggest that serotonin and norepinephrine may differentially affect FAA, with serotonin tending to promote right frontal activation and norepinephrine biased toward left frontal activation. These putative differences in frontal lateralization may influence MDD phenotypes or potential subtypes of the disorder, and suggest pharmacologic treatment strategies.
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Affiliation(s)
- Paul J. Fitzgerald
- Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
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Kim S, Jang KI, Lee HS, Shim SH, Kim JS. Differentiation between suicide attempt and suicidal ideation in patients with major depressive disorder using cortical functional network. Prog Neuropsychopharmacol Biol Psychiatry 2024; 132:110965. [PMID: 38354896 DOI: 10.1016/j.pnpbp.2024.110965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 02/01/2024] [Accepted: 02/11/2024] [Indexed: 02/16/2024]
Abstract
Studies exploring the neurophysiology of suicide are scarce and the neuropathology of related disorders is poorly understood. This study investigated source-level cortical functional networks using resting-state electroencephalography (EEG) in drug-naïve depressed patients with suicide attempt (SA) and suicidal ideation (SI). EEG was recorded in 55 patients with SA and in 54 patients with SI. Particularly, all patients with SA were evaluated using EEG immediately after their SA (within 7 days). Graph-theory-based source-level weighted functional networks were assessed using strength, clustering coefficient (CC), and path length (PL) in seven frequency bands. Finally, we applied machine learning to differentiate between the two groups using source-level network features. At the global level, patients with SA showed lower strength and CC and higher PL in the high alpha band than those with SI. At the nodal level, compared with patients with SI, patients with SA showed lower high alpha band nodal CCs in most brain regions. The best classification performances for SA and SI showed an accuracy of 73.39%, a sensitivity of 76.36%, and a specificity of 70.37% based on high alpha band network features. Our findings suggest that abnormal high alpha band functional network may reflect the pathophysiological characteristics of suicide and serve as a clinical biomarker for suicide.
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Affiliation(s)
- Sungkean Kim
- Department of Human-Computer Interaction, Hanyang University, Ansan, Republic of Korea
| | - Kuk-In Jang
- Cognitive Science Research Group, Korea Brain Research Institute (KBRI), Daegu, Republic of Korea
| | - Ho Sung Lee
- Department of Pulmonology and Allergy, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea
| | - Se-Hoon Shim
- Department of Psychiatry, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea.
| | - Ji Sun Kim
- Department of Psychiatry, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea.
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Theódórsdóttir D, Höller Y. Emotional Bias among Individuals at Risk for Seasonal Affective Disorder-An EEG Study during Remission in Summer. Brain Sci 2023; 14:2. [PMID: 38275507 PMCID: PMC10813094 DOI: 10.3390/brainsci14010002] [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: 11/20/2023] [Revised: 12/13/2023] [Accepted: 12/18/2023] [Indexed: 01/27/2024] Open
Abstract
Emotional bias in attention and memory is well researched in depression. Patients with depression prioritize processing of negative information over positive input. While there is evidence that emotional bias exists in seasonal affective disorder (SAD) during winter, it is unclear whether such altered cognition exists also during summer. Moreover, it is unclear whether such bias affects attention, memory, or both. In this study, we investigated 110 individuals in summer, 34 of whom reported suffering from low mood during winter, according to the seasonal pattern assessment questionnaire. While the electroencephalogram was recorded, participants learned 60 emotional pictures and subsequently were asked to recognize them in an old/new task. There were no clear group differences in behavioral measures, and no brain response differences in frontal alpha power during learning. During recognition, at 100-300 ms post stimulus individuals with higher seasonality scores exhibited larger alpha power in response to negative as compared to neutral stimuli, while individuals with low seasonality scores exhibited larger alpha power in response to positive as compared to neutral stimuli. While we cannot draw conclusions whether this is an effect of attention or memory, the finding suggests that early cognitive processes are altered already during summer in individuals with increased likelihood to experience SAD during winter. Our data provide evidence for an all-year-round cognitive vulnerability in this population.
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Affiliation(s)
| | - Yvonne Höller
- Faculty of Psychology, University of Akureyri, 600 Akureyri, Iceland
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Kang HJ, Kim JW, Kim SW, Han JS, Lyoo IK, Kim JM. Peripheral Markers of Suicidal Behavior: Current Findings and Clinical Implications. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2023; 21:650-664. [PMID: 37859438 PMCID: PMC10591170 DOI: 10.9758/cpn.22.1046] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 10/21/2023]
Abstract
Biomarkers of suicidal behavior (SB), particularly peripheral biomarkers, may aid in the development of preventive and intervention strategies. The peripheral biomarkers of SB should be easily accessible, cost-effective, and minimally invasive. To identify peripheral biomarkers of SB, we summarized the current knowledge related to SB biomarkers with a focus on suicidal outcomes (suicidal ideation [SI], suicide risk [SR], suicide attempt [SA], and suicide death [SD]), measured site (center or periphery), and study design (cross-sectional or longitudinal). We also evaluated the central findings to validate the findings of peripheral biomarkers of SB. We found reduced peripheral interleukin (IL)-2 levels in individuals with a recent SA, higher cerebrospinal fluid (CSF) IL-6 levels in patients with a current SR and future SD, higher CSF tumor necrosis factor-α levels for current and future SRs, higher high-sensitivity C-reactive protein levels and lower peripheral total cholesterol levels for recent SAs, lower peripheral 5-HT levels for present SR, and a lower folate level for future SR and SA within 1 year. Previous studies have shown inconsistent associations of low peripheral leptin levels with SR and recent SA; therefore, further study is required. Given the multiple determinants of SB and weak associations with single biological markers, combinations of potential biological markers rather than single markers may improve the screening, diagnosis, and prediction of SB.
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Affiliation(s)
- Hee-Ju Kang
- Departments of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Ju-Wan Kim
- Departments of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Sung-Wan Kim
- Departments of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Jung-Soo Han
- Department of Biological Science, Konkuk University, Seoul, Korea
| | - In Kyoon Lyoo
- Ewha Brain Institute, Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, Korea
- Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, Korea
| | - Jae-Min Kim
- Departments of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
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Bankwitz A, Rüesch A, Adank A, Hörmann C, Villar de Araujo T, Schoretsanitis G, Kleim B, Olbrich S. EEG source functional connectivity in patients after a recent suicide attempt. Clin Neurophysiol 2023; 154:60-69. [PMID: 37562347 DOI: 10.1016/j.clinph.2023.06.025] [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: 12/23/2022] [Revised: 06/03/2023] [Accepted: 06/30/2023] [Indexed: 08/12/2023]
Abstract
OBJECTIVE Electroencephalogram (EEG) based frequency measures within the alpha frequency range (AFR), including functional connectivity, show potential in assessing the underlying pathophysiology of depression and suicide-related outcomes. We investigated the association between AFR connectivity, suicidal thoughts and behaviors, and depression in a transdiagnostic sample of patients after a recent suicide attempt (SA). METHODS Lagged source-based measures of linear and nonlinear whole-brain connectivity within the standard AFR ([sAFR], 8-12 Hz) and the individually referenced AFR (iAFR) were applied to 70 15-minute resting-state EEGs from patients after a SA and 70 age- and gender-matched healthy controls (HC). Hypotheses were tested using network-based statistics and multiple regression models. RESULTS Results showed no significant differences between patients after a SA and HC in any of the assessed connectivity modalities. However, a subgroup analysis revealed significantly increased nonlinear connectivity within the sAFR for patients after a SA with a depressive disorder or episode ([DD], n = 53) compared to matched HC. Furthermore, a multiple regression model, including significant main effects for group and global nonlinear connectivity within the sAFR outperformed all other models in explaining variance in depressive symptom severity. CONCLUSIONS Our study further supports the importance of the AFR in pathomechanisms of suicidality and depression. The iAFR does not seem to improve validity of phase-based connectivity. SIGNIFICANCE Our results implicate distinct neurophysiological patterns in suicidal subgroups. Exploring the potential of these patterns for treatment stratification might advance targeted interventions for suicidal thoughts and behaviors.
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Affiliation(s)
- Anna Bankwitz
- University of Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Lenggstrasse 31, 8032 Zurich, Switzerland; Psychiatric University Hospital Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Annia Rüesch
- University of Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Lenggstrasse 31, 8032 Zurich, Switzerland; Psychiatric University Hospital Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Atalìa Adank
- University of Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Lenggstrasse 31, 8032 Zurich, Switzerland; Psychiatric University Hospital Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Christoph Hörmann
- University of Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Lenggstrasse 31, 8032 Zurich, Switzerland; Psychiatric University Hospital Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Tania Villar de Araujo
- University of Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Lenggstrasse 31, 8032 Zurich, Switzerland; Psychiatric University Hospital Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
| | - Georgios Schoretsanitis
- Psychiatric University Hospital Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland; The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, 75-59 263rd St, Queens, NY 11004, USA; Department of Psychiatry, Zucker School of Medicine at Northwell/Hofstra, Hempstead, 500 Hofstra Blvd, Hempstead, NY 11549, USA.
| | - Birgit Kleim
- University of Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Lenggstrasse 31, 8032 Zurich, Switzerland; Psychiatric University Hospital Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland; University of Zurich, Department of Psychology, Experimental Psychopathology and Psychotherapy, Binzmühlestrasse 14, 8050 Zurich, Switzerland.
| | - Sebastian Olbrich
- University of Zurich, Department of Psychiatry, Psychotherapy and Psychosomatics, Lenggstrasse 31, 8032 Zurich, Switzerland; Psychiatric University Hospital Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland.
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Ozger C, Chumachenko S, McVoy M, Croarkin PE, Doruk Camsari D. Evidence for Altered Electroencephalography Coherence in Depressed Adolescents with Suicidal Ideation and Behaviors. J Child Adolesc Psychopharmacol 2023; 33:287-293. [PMID: 37669028 PMCID: PMC10517320 DOI: 10.1089/cap.2023.0033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Abstract
Introduction: Major depressive disorder (MDD) is a primary risk factor for suicide, which is one of the leading causes of death among adolescents worldwide. Understanding the heterogeneity of suicidality in adolescents with MDD is critical for suicide prevention and intervention discovery. Quantitative electroencephalography (EEG) is a promising tool to address the knowledge gaps related to the neurophysiological characteristics of depression and suicidality. This study sought to examine resting-state EEG coherence differences in adolescents with MDD and suicidal ideation (SI)/behaviors (SB) and healthy controls (HC) to assess the utility of coherence as a biomarker of suicide. Methods: Twenty-six adolescents with MDD who were hospitalized for suicidality and 30 HC were recruited. The clinical sample was divided into SI (n = 9) and SB (n = 19) subgroups. Eyes closed resting-state EEG were recorded, and coherence was calculated. Depression severity and suicidality were assessed with the Children's Depression Rating Scale Revised and the Columbia Suicide Severity Rating Scale, respectively. Results: There were intrahemispheric differences in the right hemisphere across multiple electrode pairs. Delta, alpha, and beta coherence were higher in the SB group over the right prefrontofrontal and left parietooccipital electrode pairs, while alpha coherence was higher in the HC group over the right centroparietal electrode pair. There were no significant differences between HC and SI groups in any electrode pair. Conclusions: Patients with recent SB showed increased coherence in right frontal regions compared with patients with SI, suggesting altered cognitive states between those with SB and SI. These findings may have implications for suicide prevention in adolescents and could serve as useful biomarkers in clinical settings, but larger studies are needed to confirm the results.
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Affiliation(s)
- Can Ozger
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Serhiy Chumachenko
- Department of Psychiatry, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Molly McVoy
- Department of Psychiatry, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Paul E. Croarkin
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Deniz Doruk Camsari
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
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Lee SH, Hwang HH, Kim S, Hwang J, Park J, Park S. Clinical Implication of Maumgyeol Basic Service-the 2 Channel Electroencephalography and a Photoplethysmogram-based Mental Health Evaluation Software. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2023; 21:583-593. [PMID: 37424425 PMCID: PMC10335898 DOI: 10.9758/cpn.23.1062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/24/2023] [Accepted: 03/29/2023] [Indexed: 07/11/2023]
Abstract
Objective Maumgyeol Basic service is a mental health evaluation and grade scoring software using the 2 channels EEG and photoplethysmogram (PPG). This service is supposed to assess potential at-risk groups with mental illness more easily, rapidly, and reliably. This study aimed to evaluate the clinical implication of the Maumgyeol Basic service. Methods One hundred one healthy controls and 103 patients with a psychiatric disorder were recruited. Psychological evaluation (Mental Health Screening for Depressive Disorders [MHS-D], Mental Health Screening for Anxiety Disorders [MHS-A], cognitive stress response scale [CSRS], 12-item General Health Questionnaire [GHQ-12], Clinical Global Impression [CGI]) and digit symbol substitution test (DSST) were applied to all participants. Maumgyeol brain health score and Maumgyeol mind health score were calculated from 2 channel frontal EEG and PPG, respectively. Results Participants were divided into three groups: Maumgyeol Risky, Maumgyeol Good, and Maumgyeol Usual. The Maumgyeol mind health scores, but not brain health scores, were significantly lower in the patients group compared to healthy controls. Maumgyeol Risky group showed significantly lower psychological and cognitive ability evaluation scores than Maumgyeol Usual and Good groups. Maumgyel brain health score showed significant correlations with CSRS and DSST. Maumgyeol mind health score showed significant correlations with CGI and DSST. About 20.6% of individuals were classified as the No Insight group, who had mental health problems but were unaware of their illnesses. Conclusion This study suggests that the Maumgyeol Basic service can provide important clinical information about mental health and be used as a meaningful digital mental healthcare monitoring solution to prevent symptom aggravation.
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Affiliation(s)
- Seung-Hwan Lee
- Bwave Inc., Goyang, Korea
- Department of Psychiatry, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
- Clinical Emotion and Cognition Research Laboratory, Department of Psychiatry, Inje University, Goyang, Korea
| | - Hyeon-Ho Hwang
- Clinical Emotion and Cognition Research Laboratory, Department of Psychiatry, Inje University, Goyang, Korea
- Department of Human-Computer Interaction, Hanyang University, Ansan, Korea
| | - Sungkean Kim
- Department of Human-Computer Interaction, Hanyang University, Ansan, Korea
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Butler LB, Nooner KB. The Link between Suicidality and Electroencephalography Asymmetry: A Systematic Review and Meta-analysis. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2023; 21:419-428. [PMID: 37424411 PMCID: PMC10335909 DOI: 10.9758/cpn.22.1043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 12/26/2022] [Indexed: 07/11/2023]
Abstract
As one of the leading causes of death globally, suicide has been researched extensively to better understand factors that confer risk or resilience for suicidality. Promising areas of the literature have focused on brain-based factors that might indicate susceptibility to suicide. Some studies have investigated the link between electroencephalography (EEG) asymmetry, referring to differences in electrical activity in the brain from the left to right hemisphere, and suicidality. The present study is a comprehensive review and meta-analysis of the literature to see if certain patterns in EEG asymmetry serve as a diathesis for suicidal thoughts and behaviors. The results of the current investigation found that EEG asymmetry was not systematically related to suicide based on the literature reviewed. While the present review does not rule out all brain-based factors, the findings suggest that EEG asymmetry may not be a biomarker for suicidality.
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Affiliation(s)
- Laine B. Butler
- Department of Psychology, University of North Carolina Wilmington, Wilmington, NC, USA
| | - Kate B. Nooner
- Department of Psychology, University of North Carolina Wilmington, Wilmington, NC, USA
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Al-Ezzi A, Kamel N, Al-Shargabi AA, Al-Shargie F, Al-Shargabi A, Yahya N, Al-Hiyali MI. Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures. Front Psychiatry 2023; 14:1155812. [PMID: 37255678 PMCID: PMC10226190 DOI: 10.3389/fpsyt.2023.1155812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 04/17/2023] [Indexed: 06/01/2023] Open
Abstract
Introduction The early diagnosis and classification of social anxiety disorder (SAD) are crucial clinical support tasks for medical practitioners in designing patient treatment programs to better supervise the progression and development of SAD. This paper proposes an effective method to classify the severity of SAD into different grading (severe, moderate, mild, and control) by using the patterns of brain information flow with their corresponding graphical networks. Methods We quantified the directed information flow using partial directed coherence (PDC) and the topological networks by graph theory measures at four frequency bands (delta, theta, alpha, and beta). The PDC assesses the causal interactions between neuronal units of the brain network. Besides, the graph theory of the complex network identifies the topological structure of the network. Resting-state electroencephalogram (EEG) data were recorded for 66 patients with different severities of SAD (22 severe, 22 moderate, and 22 mild) and 22 demographically matched healthy controls (HC). Results PDC results have found significant differences between SAD groups and HCs in theta and alpha frequency bands (p < 0.05). Severe and moderate SAD groups have shown greater enhanced information flow than mild and HC groups in all frequency bands. Furthermore, the PDC and graph theory features have been used to discriminate three classes of SAD from HCs using several machine learning classifiers. In comparison to the features obtained by PDC, graph theory network features combined with PDC have achieved maximum classification performance with accuracy (92.78%), sensitivity (95.25%), and specificity (94.12%) using Support Vector Machine (SVM). Discussion Based on the results, it can be concluded that the combination of graph theory features and PDC values may be considered an effective tool for SAD identification. Our outcomes may provide new insights into developing biomarkers for SAD diagnosis based on topological brain networks and machine learning algorithms.
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Affiliation(s)
- Abdulhakim Al-Ezzi
- Centre for Intelligent Signal & Imaging Research (CISIR), Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia
| | - Nidal Kamel
- College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam
| | - Amal A. Al-Shargabi
- Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia
| | - Fares Al-Shargie
- Faculty of Engineering, Abu Dhabi University, Abu Dhabi, United Arab Emirates
| | - Alaa Al-Shargabi
- Department of Information Technology, Universiti Teknlogi Malaysia, Skudai, Malaysia
| | - Norashikin Yahya
- Centre for Intelligent Signal & Imaging Research (CISIR), Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia
| | - Mohammed Isam Al-Hiyali
- Centre for Intelligent Signal & Imaging Research (CISIR), Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia
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10
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Cáceda R, Mirmina J, Kim DJ, Rafiaa M, Carbajal JM, Akram F, Lau J, Chacko M, Tedla A, Teng Y, Perlman G. Low global frontal brain activity is associated with non-planned or impulsive suicide attempts. A preliminary study. J Affect Disord 2023; 326:44-48. [PMID: 36708954 DOI: 10.1016/j.jad.2023.01.084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 01/08/2023] [Accepted: 01/22/2023] [Indexed: 01/26/2023]
Abstract
BACKGROUND Suicide prevention is limited by the frequent non-planned or impulsive nature of suicidal behavior. For instance, 25-62 % of suicide attempts, occur within 30 min of the onset of suicidal ideation. We aimed to examine frontal brain activity in depressed patients following a suicide attempt and its relationship with the duration of the suicidal process. METHODS We recruited 35 adult patients within three days of a suicide attempt of at least moderate lethality. Duration of the suicidal process was recorded in a semi-structured interview, including suicide contemplation (time from onset of suicidal ideation to decision to kill oneself) and suicide action intervals (time from the decision to kill oneself to suicide attempt). Resting state EEG data from AF7, AF8, TP9 and TP10 leads was collected with a portable MUSE 2 headband system. The average frequency values throughout a 5-minute portable EEG recording were extracted for delta (1-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), and beta (13-30 Hz) waves. RESULTS Delta (r = 0.450, p = 0.021) and theta power (r = 0.395, p = 0.044) were positively correlated with the duration of the suicide action interval. There were no significant correlations of the suicide contemplation interval with clinical or EEG measures. Patients with suicide action interval shorter than 30 min showed lower delta power (U = 113, p = 0.049) compared with those with longer duration. CONCLUSIONS Lower theta and delta activity may reflect hindered cognitive control and inhibition in impulsive suicide attempters. Portable EEG may provide a valuable tool for clinical research and in the management of acutely suicidal patients.
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Affiliation(s)
- Ricardo Cáceda
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA; Psychiatry Service, Northport Veterans Affairs Medical Center, Northport, New York, USA.
| | - Julianne Mirmina
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
| | - Diane J Kim
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
| | - Marianne Rafiaa
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
| | - Jessica M Carbajal
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
| | - Faisal Akram
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
| | - Jaisy Lau
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
| | - Mason Chacko
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
| | - Alemante Tedla
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
| | - York Teng
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
| | - Greg Perlman
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
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11
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Rakús T, Hubčíková K, Bruncvik L, Petrášová Z, Brunovsky M. Retrospective analysis of quantitative electroencephalography changes in a dissimulating patient after dying by suicide: A single case report. Front Psychiatry 2023; 14:1002215. [PMID: 37009100 PMCID: PMC10050719 DOI: 10.3389/fpsyt.2023.1002215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 02/15/2023] [Indexed: 03/17/2023] Open
Abstract
We present the case of a 49-year-old man who was diagnosed with depressive disorder, with the first episode having a strong reactive factor. He was involuntarily admitted to a psychiatric hospital after a failed attempt at taking his own life, where he responded to psychotherapy and antidepressant therapy, as evidenced by a >60% reduction in his MADRS total score. He was discharged after 10 days of treatment, denied having suicidal ideations, and was motivated to follow the recommended outpatient care. The risk for suicide during hospitalization was also assessed using suicide risk assessment tools and psychological assessments, including projective tests. The patient underwent a follow-up examination with an outpatient psychiatrist on the 7th day after discharge, during which the suicide risk assessment tool was administered. The results indicated no acute suicide risk or worsening of depressive symptoms. On the 10th day after discharge, the patient took his own life by jumping out of the window of his flat. We believe that the patient had dissimulated his symptoms and possessed suicidal ideations, which were not detected despite repeated examinations specifically designed to assess suicidality and depression symptoms. We retrospectively analyzed his quantitative electroencephalography (QEEG) records to evaluate the change in prefrontal theta cordance as a potentially promising biomarker of suicidality, given the inconclusive results of studies published to date. An increase in prefrontal theta cordance value was found after the first week of antidepressant therapy and psychotherapy in contrast to the expected decrease due to the fading of depressive symptoms. As demonstrated by the provided case study, we hypothesized that prefrontal theta cordance may be an EEG indicator of a higher risk of non-responsive depression and suicidality despite therapeutic improvement.
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Affiliation(s)
- Tomáš Rakús
- Department of Neuropsychiatry, Philippe Pinel Psychiatric Hospital, Slovak Medical University in Bratislava, Pezinok, Slovakia
- Third Faculty of Medicine, Charles University in Prague, Prague, Czechia
- *Correspondence: Tomáš Rakús
| | - Katarína Hubčíková
- Department of Neuropsychiatry, Philippe Pinel Psychiatric Hospital, Slovak Medical University in Bratislava, Pezinok, Slovakia
- Third Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Lucia Bruncvik
- Third Faculty of Medicine, Charles University in Prague, Prague, Czechia
- Landesklinikum Hainburg, Hainburg an der Donau, Austria
| | - Zuzana Petrášová
- Department of Neuropsychiatry, Philippe Pinel Psychiatric Hospital, Slovak Medical University in Bratislava, Pezinok, Slovakia
- Third Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Martin Brunovsky
- Third Faculty of Medicine, Charles University in Prague, Prague, Czechia
- Department of Neurophysiology and EEG, National Institute of Mental Health, Klecany, Czechia
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12
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Marcu GM, Szekely-Copîndean RD, Radu AM, Bucuță MD, Fleacă RS, Tănăsescu C, Roman MD, Boicean A, Băcilă CI. Resting-state frontal, frontlateral, and parietal alpha asymmetry:A pilot study examining relations with depressive disorder type and severity. Front Psychol 2023; 14:1087081. [PMID: 37008856 PMCID: PMC10062203 DOI: 10.3389/fpsyg.2023.1087081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 02/14/2023] [Indexed: 03/09/2023] Open
Abstract
IntroductionThe search for biomarkers has been central to efforts of improving clinical diagnosis and prognosis in psychopathology in the last decades. The main approach has been to validate biomarkers that could accurately discriminate between clinical diagnoses of very prevalent forms of psychopathology. One of the most popular electrophysiological markers proposed for discrimination in depressive disorders is the electroencephalography (EEG)-derived frontal alpha asymmetry. However, the validity, reliability and predictive value of this biomarker have been questioned in recent years, mainly due to conceptual and methodological heterogeneity.MethodsIn the current non-experimental, correlational study we investigated relationship of resting-state EEG alpha asymmetry from multiple sites (frontal, frontolateral, and parietal) with different forms of depressive disorders (varying in type or severity), in a clinical sample.ResultsResults showed that alpha asymmetry in the parietal (P3-P4) was significantly higher than in the frontal (F3-F4) and frontolateral sites (F7-F8). However, we did not find significant relations between alpha asymmetry indices and our depressive disorder measures, except for a moderate positive association between frontolateral alpha asymmetry (eyes-closed only) and depressive disorder severity (determined through clinical structured interview). We also found no significant differences in alpha asymmetry between participants, depending on their depression type.DiscussionBased on results, we propose the parietal and frontolateral asymmetry indices to form hypotheses that should not be abandoned in the depression markers research, but worth for further experimental research. Methodological and clinical implications of the current findings are discussed.
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Affiliation(s)
- Gabriela M. Marcu
- Department of Psychology, Lucian Blaga University of Sibiu, Sibiu, Romania
- Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- Scientific Collective for Research in Neuroscience, Clinical Psychiatric Hospital “Dr. Gh. Preda”, Sibiu, Romania
| | - Raluca D. Szekely-Copîndean
- Scientific Collective for Research in Neuroscience, Clinical Psychiatric Hospital “Dr. Gh. Preda”, Sibiu, Romania
- Department of Social and Human Research, Romanian Academy, Cluj-Napoca, Romania
| | - Ana-Maria Radu
- Department of Psychology, Lucian Blaga University of Sibiu, Sibiu, Romania
- Scientific Collective for Research in Neuroscience, Clinical Psychiatric Hospital “Dr. Gh. Preda”, Sibiu, Romania
- *Correspondence: Ana-Maria Radu,
| | - Mihaela D. Bucuță
- Department of Psychology, Lucian Blaga University of Sibiu, Sibiu, Romania
- Center for Psychological Research, Lucian Blaga University of Sibiu, Sibiu, Romania
| | - Radu S. Fleacă
- Faculty of Medicine, Lucian Blaga University of Sibiu, Sibiu, Romania
| | - Ciprian Tănăsescu
- Faculty of Medicine, Lucian Blaga University of Sibiu, Sibiu, Romania
| | - Mihai D. Roman
- Faculty of Medicine, Lucian Blaga University of Sibiu, Sibiu, Romania
| | - Adrian Boicean
- Faculty of Medicine, Lucian Blaga University of Sibiu, Sibiu, Romania
| | - Ciprian I. Băcilă
- Scientific Collective for Research in Neuroscience, Clinical Psychiatric Hospital “Dr. Gh. Preda”, Sibiu, Romania
- Faculty of Medicine, Lucian Blaga University of Sibiu, Sibiu, Romania
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13
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Park Y, Ammerman BA. For Better or Worse?: The role of cognitive flexibility in the association between nonsuicidal self-injury and suicide attempt. J Psychiatr Res 2023; 158:157-164. [PMID: 36586214 DOI: 10.1016/j.jpsychires.2022.12.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 11/25/2022] [Accepted: 12/21/2022] [Indexed: 12/28/2022]
Abstract
Nonsuicidal self-injury (NSSI) has been repeatedly associated with increased suicide risk. However, the transition from NSSI to suicidal thoughts and behaviors still remains as an enigma. One possible construct that may influence this relationship is cognitive flexibility, which refers to the ability to adapt responses/strategies based on environmental feedback. It may be that greater cognitive flexibility increases one's cognitive accessibility to suicide, making it a more viable option upon distress especially for those with a prior history of NSSI. Conversely, it may be that less cognitive flexibility creates a negative bias that exacerbates the effects of NSSI on suicide. Thus, in this study, we examined how NSSI characteristics (i.e., frequency and methods) interact with cognitive flexibility to predict lifetime suicide attempt (SA) history. Participants were 505 individuals with a lifetime history of NSSI who completed a survey assessing for their NSSI experiences, cognitive flexibility, and SA history. Moderation analyses were conducted while controlling for sexual orientation, which significantly predicted SA history. Results indicated a significant interaction between number of NSSI methods endorsed and cognitive flexibility. In particular, individuals were more likely to have had a history of SA if they scored higher on the alternative subscale of cognitive flexibility. The results suggest that the adaptive value of cognitive flexibility may be context dependent, and highlight the importance of personalized care among those who engage in self-harm.
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Affiliation(s)
- Yeonsoo Park
- University of Notre Dame, Department of Psychology, USA.
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14
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Ippolito G, Bertaccini R, Tarasi L, Di Gregorio F, Trajkovic J, Battaglia S, Romei V. The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research. Biomedicines 2022; 10:biomedicines10123189. [PMID: 36551945 PMCID: PMC9775381 DOI: 10.3390/biomedicines10123189] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/03/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022] Open
Abstract
Alpha oscillations (7-13 Hz) are the dominant rhythm in both the resting and active brain. Accordingly, translational research has provided evidence for the involvement of aberrant alpha activity in the onset of symptomatological features underlying syndromes such as autism, schizophrenia, major depression, and Attention Deficit and Hyperactivity Disorder (ADHD). However, findings on the matter are difficult to reconcile due to the variety of paradigms, analyses, and clinical phenotypes at play, not to mention recent technical and methodological advances in this domain. Herein, we seek to address this issue by reviewing the literature gathered on this topic over the last ten years. For each neuropsychiatric disorder, a dedicated section will be provided, containing a concise account of the current models proposing characteristic alterations of alpha rhythms as a core mechanism to trigger the associated symptomatology, as well as a summary of the most relevant studies and scientific contributions issued throughout the last decade. We conclude with some advice and recommendations that might improve future inquiries within this field.
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Affiliation(s)
- Giuseppe Ippolito
- Centro Studi e Ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum—Università di Bologna, 47521 Cesena, Italy
| | - Riccardo Bertaccini
- Centro Studi e Ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum—Università di Bologna, 47521 Cesena, Italy
| | - Luca Tarasi
- Centro Studi e Ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum—Università di Bologna, 47521 Cesena, Italy
| | - Francesco Di Gregorio
- UO Medicina Riabilitativa e Neuroriabilitazione, Azienda Unità Sanitaria Locale, 40133 Bologna, Italy
| | - Jelena Trajkovic
- Centro Studi e Ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum—Università di Bologna, 47521 Cesena, Italy
| | - Simone Battaglia
- Centro Studi e Ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum—Università di Bologna, 47521 Cesena, Italy
- Dipartimento di Psicologia, Università di Torino, 10124 Torino, Italy
| | - Vincenzo Romei
- Centro Studi e Ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum—Università di Bologna, 47521 Cesena, Italy
- Correspondence:
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15
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de la Salle S, Phillips JL, Blier P, Knott V. Electrophysiological correlates and predictors of the antidepressant response to repeated ketamine infusions in treatment-resistant depression. Prog Neuropsychopharmacol Biol Psychiatry 2022; 115:110507. [PMID: 34971723 DOI: 10.1016/j.pnpbp.2021.110507] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 12/03/2021] [Accepted: 12/23/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND Sub-anesthetic ketamine doses rapidly reduce depressive symptoms, although additional investigations of the underlying neural mechanisms and the prediction of response outcomes are needed. Electroencephalographic (EEG)-derived measures have shown promise in predicting antidepressant response to a variety of treatments, and are sensitive to ketamine administration. This study examined their utility in characterizing changes in depressive symptoms following single and repeated ketamine infusions. METHODS Recordings were obtained from patients with treatment-resistant major depressive disorder (MDD) (N = 24) enrolled in a multi-phase clinical ketamine trial. During the randomized, double-blind, crossover phase (Phase 1), patients received intravenous ketamine (0.5 mg/kg) and midazolam (30 μg/kg), at least 1 week apart. For each medication, three resting, eyes-closed recordings were obtained per session (pre-infusion, immediately post-infusion, 2 h post-infusion), and changes in power (delta, theta1/2/total, alpha1/2/total, beta, gamma), alpha asymmetry, theta cordance, and theta source-localized anterior cingulate cortex activity were quantified. The relationships between ketamine-induced changes with early (Phase 1) and sustained (Phases 2,3: open-label repeated infusions) decreases in depressive symptoms (Montgomery-Åsberg Depression Rating Score, MADRS) and suicidal ideation (MADRS item 10) were examined. RESULTS Both medications decreased alpha and theta immediately post-infusion, however, only midazolam increased delta (post-infusion), and only ketamine increased gamma (immediately post- and 2 h post-infusion). Regional- and frequency-specific ketamine-induced EEG changes were related to and predictive of decreases in depressive symptoms (theta, gamma) and suicidal ideation (alpha). Early and sustained treatment responders differed at baseline in surface-level and source-localized theta. CONCLUSIONS Ketamine exerts frequency-specific changes on EEG-derived measures, which are related to depressive symptom decreases in treatment-resistant MDD and provide information regarding early and sustained individual response to ketamine. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov: Action of Ketamine in Treatment-Resistant Depression, NCT01945047.
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Affiliation(s)
- Sara de la Salle
- University of Ottawa Institute of Mental Health Research at the Royal, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, Canada; School of Psychology, University of Ottawa, 136 Jean-Jacques Lussier, Ottawa, ON K1N6N5, Canada.
| | - Jennifer L Phillips
- University of Ottawa Institute of Mental Health Research at the Royal, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, Canada; Department of Psychiatry, University of Ottawa, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, Canada; Department of Biochemistry, Microbiology and Immunology, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada
| | - Pierre Blier
- University of Ottawa Institute of Mental Health Research at the Royal, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, Canada; Department of Psychiatry, University of Ottawa, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, Canada; Department of Cellular and Molecular Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada
| | - Verner Knott
- University of Ottawa Institute of Mental Health Research at the Royal, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, Canada; Department of Cellular and Molecular Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5, Canada; School of Psychology, University of Ottawa, 136 Jean-Jacques Lussier, Ottawa, ON K1N6N5, Canada
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16
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Höller Y, Urbschat MM, Kristófersson GK, Ólafsson RP. Predictability of Seasonal Mood Fluctuations Based on Self-Report Questionnaires and EEG Biomarkers in a Non-clinical Sample. Front Psychiatry 2022; 13:870079. [PMID: 35463521 PMCID: PMC9030950 DOI: 10.3389/fpsyt.2022.870079] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
Induced by decreasing light, people affected by seasonal mood fluctuations may suffer from low energy, have low interest in activities, experience changes in weight, insomnia, difficulties in concentration, depression, and suicidal thoughts. Few studies have been conducted in search for biological predictors of seasonal mood fluctuations in the brain, such as EEG oscillations. A sample of 64 participants was examined with questionnaires and electroencephalography in summer. In winter, a follow-up survey was recorded and participants were grouped into those with at least mild (N = 18) and at least moderate (N = 11) mood decline and those without self-reported depressive symptoms both in summer and in winter (N = 46). A support vector machine was trained to predict mood decline by either EEG biomarkers alone, questionnaire data from baseline alone, or a combination of the two. Leave-one-out-cross validation with lasso regularization was used with logistic regression to fit a model. The accuracy for classification for at least mild/moderate mood decline was 77/82% for questionnaire data, 72/82% for EEG alone, and 81/86% for EEG combined with questionnaire data. Self-report data was more conclusive than EEG biomarkers recorded in summer for prediction of worsening of depressive symptoms in winter but it is advantageous to combine EEG with psychological assessment to boost predictive performance.
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Affiliation(s)
- Yvonne Höller
- Faculty of Psychology, University of Akureyri, Akureyri, Iceland
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17
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Höller Y, Jónsdóttir ST, Hannesdóttir AH, Ólafsson RP. EEG-responses to mood induction interact with seasonality and age. Front Psychiatry 2022; 13:950328. [PMID: 36016970 PMCID: PMC9396338 DOI: 10.3389/fpsyt.2022.950328] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 07/19/2022] [Indexed: 11/13/2022] Open
Abstract
The EEG is suggested as a potential diagnostic and prognostic biomarker for seasonal affective disorder (SAD). As a pre-clinical form of SAD, seasonality is operationalized as seasonal variation in mood, appetite, weight, sleep, energy, and socializing. Importantly, both EEG biomarkers and seasonality interact with age. Inducing sad mood to assess cognitive vulnerability was suggested to improve the predictive value of summer assessments for winter depression. However, no EEG studies have been conducted on induced sad mood in relation to seasonality, and no studies so far have controlled for age. We recorded EEG and calculated bandpower in 114 participants during rest and during induced sad mood in summer. Participants were grouped by age and based on a seasonality score as obtained with the seasonal pattern assessment questionnaire (SPAQ). Participants with high seasonality scores showed significantly larger changes in EEG power from rest to sad mood induction, specifically in the alpha frequency range (p = 0.027), compared to participants with low seasonality scores. Furthermore, seasonality interacted significantly with age (p < 0.001), with lower activity in individuals with high seasonality scores that were older than 50 years but the opposite pattern in individuals up to 50 years. Effects of sad mood induction on brain activity are related to seasonality and can therefore be consider as potential predicting biomarkers for SAD. Future studies should control for age as a confounding factor, and more studies are needed to elaborate on the characteristics of EEG biomarkers in participants above 50 years.
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Affiliation(s)
- Yvonne Höller
- Faculty of Psychology, University of Akureyri, Akureyri, Iceland
| | - Sara Teresa Jónsdóttir
- Faculty of Psychology, University of Akureyri, Akureyri, Iceland.,Faculty of Psychology, University of Iceland, Reykjavík, Iceland
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18
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Kocsis K, Holczer A, Kazinczi C, Boross K, Horváth R, Németh LV, Klivényi P, Kincses ZT, Must A. Voxel-based asymmetry of the regional gray matter over the inferior temporal gyrus correlates with depressive symptoms in medicated patients with major depressive disorder. Psychiatry Res Neuroimaging 2021; 317:111378. [PMID: 34479177 DOI: 10.1016/j.pscychresns.2021.111378] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 08/13/2021] [Accepted: 08/24/2021] [Indexed: 10/20/2022]
Abstract
The number of patients suffering from major depressive disorder (MDD) is increasing worldwide. Imbalanced hemispherical brain activity may be an underlying factor of MDD; however, whether structural asymmetry also contributes to the symptoms experienced in MDD has been scarcely investigated. In this study, we aimed to examine cortical asymmetry in association with the severity of depressive and cognitive symptoms observed in MDD during stable medication. The association between the affective and cognitive symptoms and gray matter asymmetry was evaluated in 17 MDD patients using voxel-wise gray matter asymmetry analysis on high-resolution T1-weighted MR images. Asymmetry index values in the inferior temporal gyrus (ITG) correlated with the scores of the 17-item Hamilton Depression Rating Scale (HDRS), but no association was found with the Beck Hopelessness Scale, and performance on the 1-, 2- and 3-back task. Our results indicate that the asymmetry of gray matter content in the ITG might be associated with higher depression severity. Our findings might help to better understand how structural changes contribute to depression severity in patients with MDD.
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Affiliation(s)
- Krisztián Kocsis
- Department of Neurology, Albert Szent-Györgyi Health Centre, University of Szeged, Hungary
| | - Adrienn Holczer
- Department of Neurology, Albert Szent-Györgyi Health Centre, University of Szeged, Hungary
| | - Csaba Kazinczi
- Department of Neurology, Albert Szent-Györgyi Health Centre, University of Szeged, Hungary
| | - Katalin Boross
- Department of Radiology, Albert Szent-Györgyi Health Centre, University of Szeged, Hungary
| | - Regina Horváth
- Department of Radiology, Albert Szent-Györgyi Health Centre, University of Szeged, Hungary
| | - Luca Viola Németh
- Department of Neurology, Albert Szent-Györgyi Health Centre, University of Szeged, Hungary
| | - Péter Klivényi
- Department of Neurology, Albert Szent-Györgyi Health Centre, University of Szeged, Hungary
| | - Zsigmond Tamás Kincses
- Department of Radiology, Albert Szent-Györgyi Health Centre, University of Szeged, Hungary
| | - Anita Must
- Institute of Psychology, Faculty of Arts, University of Szeged, Egyetem utca 2 H-6722, Szeged, Hungary.
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19
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Jang KI, Lee C, Lee S, Huh S, Chae JH. Comparison of frontal alpha asymmetry among schizophrenia patients, major depressive disorder patients, and healthy controls. BMC Psychiatry 2020; 20:586. [PMID: 33302919 PMCID: PMC7727195 DOI: 10.1186/s12888-020-02972-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 11/17/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Electroencephalography (EEG) frontal alpha asymmetry (FAA) has been observed in several psychiatric disorders. Dominance in left or right frontal alpha activity remains inconsistent in patients with major depressive disorder (MDD), patients with schizophrenia, and healthy controls. This study compared FAA among patients with MDD and schizophrenia, and healthy controls. METHODS We recruited 20 patients with MDD, 18 patients with schizophrenia, and 16 healthy individuals. The EEG alpha frequency ranged from 8 Hz to 12 Hz. FAA was expressed as the difference between absolute power values of right and left hemisphere electrodes in the alpha frequency range (common-log-transformed frontal right- and left-hemisphere electrodes: F4-F3, F8-F7, FP2-FP1, AF4-AF3, F6-F5, and F2-F1). Hamilton depression and anxiety rating scales were evaluated in patients with MDD. Positive and negative syndrome scales were evaluated in patients with schizophrenia. RESULTS Patients with schizophrenia showed significantly lower left FAA than healthy controls (F4-F3, schizophrenia vs. healthy controls: - 0.10 ± 0.04 vs. -0.05 ± 0.05). There were no significant differences in FAA between patients with schizophrenia and MDD as well as between patients with MDD and healthy controls. CONCLUSIONS The present study suggests that FAA indicates a relatively lower activation of left frontal electrodes in schizophrenia. The left-lateralized FAA could be a neuropathological attribute in patients with schizophrenia, but a lack of sample size and information such as medication and duration of illness might obscure the interpretation and generalization of our findings. Thus, further studies to verify the findings would be warranted.
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Affiliation(s)
- Kuk-In Jang
- grid.452628.f0000 0004 5905 0571Cognitive Science Research Group, Korea Brain Research Institute, Daegu, South Korea
| | - Chany Lee
- grid.452628.f0000 0004 5905 0571Cognitive Science Research Group, Korea Brain Research Institute, Daegu, South Korea
| | - Sangmin Lee
- grid.411947.e0000 0004 0470 4224Department of Psychiatry, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 137-701 South Korea
| | - Seung Huh
- grid.411947.e0000 0004 0470 4224Department of Psychiatry, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 137-701 South Korea
| | - Jeong-Ho Chae
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 137-701, South Korea.
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Lee HS, Baik SY, Kim YW, Kim JY, Lee SH. Prediction of Antidepressant Treatment Outcome Using Event-Related Potential in Patients with Major Depressive Disorder. Diagnostics (Basel) 2020; 10:diagnostics10050276. [PMID: 32375213 PMCID: PMC7277962 DOI: 10.3390/diagnostics10050276] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 04/23/2020] [Accepted: 05/01/2020] [Indexed: 12/22/2022] Open
Abstract
(1) Background: Prediction of treatment outcome has been one of the core objectives in clinical research of patients with major depressive disorder (MDD). This study explored the possibility of event-related potential (ERP) markers to predict antidepressant treatment outcomes among MDD patients; (2) Methods: Fifty-two patients with MDD were recruited and evaluated through Hamilton depression (HAM-D), Hamilton anxiety rating scale (HAM-A), and CORE. Patients underwent a battery of ERP measures including frontal alpha symmetry (FAA) in the low alpha band (8–10 Hz), mismatch negativity (MMN), and loudness-dependent auditory evoked potentials (LDAEP); (3) Results: During the eight weeks of study, 61% of patients achieved remission, and 77% showed successful treatment responsiveness. Patients with low FAA in F5/F6 demonstrated a significantly higher remission/response ratio and better treatment responsiveness (F (2.560, 117.755) = 3.84, p = 0.016) compared to patients with high FAA. In addition, greater FAA in F7/F8 EEG channels was significantly associated with greater melancholia scores (r = 0.34, p = 0.018). Other ERP markers lacked any significant effect; (4) Conclusions: Our results suggested low FAA (i.e., greater left frontal activity) could reflect a good treatment response in MDD patients. These findings support that FAA could be a promising index in understanding both MDD and melancholic subtype.
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Affiliation(s)
- Hyun Seo Lee
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang 50834, Korea; (H.S.L.); (S.Y.B.); (Y.-W.K.); (J.-Y.K.)
| | - Seung Yeon Baik
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang 50834, Korea; (H.S.L.); (S.Y.B.); (Y.-W.K.); (J.-Y.K.)
| | - Yong-Wook Kim
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang 50834, Korea; (H.S.L.); (S.Y.B.); (Y.-W.K.); (J.-Y.K.)
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea
| | - Jeong-Youn Kim
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang 50834, Korea; (H.S.L.); (S.Y.B.); (Y.-W.K.); (J.-Y.K.)
| | - Seung-Hwan Lee
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang 50834, Korea; (H.S.L.); (S.Y.B.); (Y.-W.K.); (J.-Y.K.)
- Department of Psychiatry, Inje University, Ilsan-Paik Hospital, Goyang 50834, Korea
- Correspondence: or ; Tel.: +82-31-910-7260; Fax: +82-31-910-7268
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21
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Roh SC, Kim JS, Kim S, Kim Y, Lee SH. Frontal Alpha Asymmetry Moderated by Suicidal Ideation in Patients with Major Depressive Disorder: A Comparison with Healthy Individuals. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2020; 18:58-66. [PMID: 31958906 PMCID: PMC7006982 DOI: 10.9758/cpn.2020.18.1.58] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 12/25/2018] [Accepted: 01/23/2019] [Indexed: 01/14/2023]
Abstract
Objective Frontal alpha asymmetry (FAA) of electroencephalography (EEG) has been studied to differentiate patients with major depressive disorder (MDD) from healthy controls (HC). However, inconsistent results have been obtained thus far. Suicidal ideation (SI) has been known to alter frontal lobe activity, and could be an important covariate in FAA studies. This study aimed to explore the influence of FAA on the relationship among MDD patients with SI and without SI, and HC. Methods Sixty-seven patients with MDD (44 without and 23 with SI) and 60 HCs were recruited. Resting state EEG was recorded with their eyes open, and FAA as a lateralized index of alpha power was calculated in the frontal brain region. Hamilton Rating Scale for Anxiety and Depression scores were estimated. Results FAA was higher (increased alpha power in the left frontal region) in the MDD group than in the HC group. The FAA was lower (reduced alpha power in the left frontal region) in MDD patients with SI than in MDD patients without SI. The severity of depression and anxiety symptoms were significantly correlated with FAA only in MDD patients with SI. SI moderated the effects of depressive symptom on FAA in the MDD group. Conclusion Our results suggest that SI is a clinically important moderator of frontal alpha asymmetry in patients with MDD.
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Affiliation(s)
- Sang-Choong Roh
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Korea
| | - Ji Sun Kim
- Department of Psychiatry, Soonchunhyang University Hospital, Cheonan, Korea
| | - Sungkean Kim
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Korea.,Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Yourim Kim
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Korea
| | - Seung-Hwan Lee
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Korea.,Department of Psychiatry, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
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