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Xiao Q, Hou J, Xiao L, Zhou M, He Z, Dong H, Hu S. Lower synaptic density and its association with cognitive dysfunction in patients with obsessive-compulsive disorder. Gen Psychiatr 2024; 37:e101208. [PMID: 38894874 PMCID: PMC11184172 DOI: 10.1136/gpsych-2023-101208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 05/22/2024] [Indexed: 06/21/2024] Open
Abstract
Background Understanding synaptic alteration in obsessive-compulsive disorder (OCD) is crucial for elucidating its pathological mechanisms, but in vivo research on this topic remains limited. Aims This study aimed to identify the synaptic density indicators in OCD and explore the relationship between cognitive dysfunction and synaptic density changes in OCD. Methods This study enrolled 28 drug-naive adults with OCD aged 18-40 years and 16 healthy controls (HCs). Three-dimensional T1-weighted structural magnetic resonance imaging and 18F-SynVesT-1 positron emission tomography were conducted. Cognitive function was assessed using the Wisconsin Cart Sorting Test (WCST) in patients with OCD and HCs. Correlative analysis was performed to examine the association between synaptic density reduction and cognitive dysfunction. Results Compared with HCs, patients with OCD showed reduced synaptic density in regions of the cortico-striato-thalamo-cortical circuit such as the bilateral putamen, left caudate, left parahippocampal gyrus, left insula, left parahippocampal gyrus and left middle occipital lobe (voxel p<0.001, uncorrected, with cluster level above 50 contiguous voxels). The per cent conceptual-level responses of WCST were positively associated with the synaptic density reduction in the left middle occipital gyrus (R2=0.1690, p=0.030), left parahippocampal gyrus (R2=0.1464, p=0.045) and left putamen (R2=0.1967, p=0.018) in patients with OCD. Conclusions Adults with OCD demonstrated lower 18F-labelled difluoro analogue of 18F-SynVesT-1 compared with HCs, indicating potentially lower synaptic density. This is the first study to explore the synaptic density in patients with OCD and provides insights into potential biological targets for cognitive dysfunctions in OCD.
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Affiliation(s)
- Qian Xiao
- Mental Health Center, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jiale Hou
- Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Ling Xiao
- Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Ming Zhou
- Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhiyou He
- Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Huixi Dong
- Mental Health Center, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Shuo Hu
- Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Biological Nanotechnology, National Health Commission, Changsha, Hunan, China
- National Clinical Research Center, Geriatric Disorders (Xiangya), Changsha, Hunan, China
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2
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Zsigo C, Greimel E, Primbs R, Bartling J, Schulte-Körne G, Feldmann L. Frontal alpha asymmetry during emotion regulation in adults with lifetime major depression. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2024; 24:552-566. [PMID: 38302819 PMCID: PMC11078823 DOI: 10.3758/s13415-024-01165-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/17/2024] [Indexed: 02/03/2024]
Abstract
Emotion regulation (ER) often is impaired in current or remitted major depression (MD), although the extent of the deficits is not fully understood. Recent studies suggest that frontal alpha asymmetry (FAA) could be a promising electrophysiological measure to investigate ER. The purpose of this study was to investigate ER differences between participants with lifetime major depression (lifetime MD) and healthy controls (HC) for the first time in an experimental task by using FAA. We compared lifetime MD (n = 34) and HC (n = 25) participants aged 18-24 years in (a) an active ER condition, in which participants were instructed to reappraise negative images and (b) a condition in which they attended to the images while an EEG was recorded. We also report FAA results from an independent sample of adolescents with current MD (n = 36) and HC adolescents (n = 38). In the main sample, both groups were able to decrease self-reported negative affect in response to negative images through ER, without significant group differences. We found no differences between groups or conditions in FAA, which was replicated within the independent adolescent sample. The lifetime MD group also reported less adaptive ER in daily life and higher difficulty of ER during the task. The lack of differences between in self-reported affect and FAA between lifetime MD and HC groups in the active ER task indicates that lifetime MD participants show no impairments when instructed to apply an adaptive ER strategy. Implications for interventional aspects are discussed.
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Affiliation(s)
- Carolin Zsigo
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 5, 80336, Munich, Germany.
| | - Ellen Greimel
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 5, 80336, Munich, Germany
| | - Regine Primbs
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 5, 80336, Munich, Germany
| | - Jürgen Bartling
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 5, 80336, Munich, Germany
| | - Gerd Schulte-Körne
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 5, 80336, Munich, Germany
| | - Lisa Feldmann
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, LMU University Hospital, LMU Munich, Nußbaumstr. 5, 80336, Munich, Germany
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3
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Petrie DJ, Meeks KD, Fisher ZF, Geier CF. Associations between somatomotor-putamen resting state connectivity and obsessive-compulsive symptoms vary as a function of stress during early adolescence: Data from the ABCD study. Brain Res Bull 2024; 210:110934. [PMID: 38508468 DOI: 10.1016/j.brainresbull.2024.110934] [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: 10/20/2023] [Revised: 02/16/2024] [Accepted: 03/17/2024] [Indexed: 03/22/2024]
Abstract
Obsessive-compulsive symptoms (OCS) are relatively common during adolescence although most individuals do not meet diagnostic criteria for obsessive-compulsive disorder (OCD). Nonetheless, OCS during adolescence are associated with comorbid psychopathologies and behavioral problems. Heightened levels of environmental stress and greater functional connectivity between the somatomotor network and putamen have been previously associated with elevated OCS in OCD patients relative to healthy controls. However, the interaction of these factors within the same sample of individuals has been understudied. This study examined somatomotor-putamen resting state connectivity, stress, and their interaction on OCS in adolescents from 9-12 years of age. Participants (n = 6386) were drawn from the ABCD Study 4.0 release. Multilevel modeling was used to account for nesting in the data and to assess changes in OCS in this age range. Stress moderated the association between somatomotor-putamen connectivity and OCS (β = 0.35, S.E. = 0.13, p = 0.006). Participants who reported more stress than their average and had greater somatomotor-left putamen connectivity reported more OCS, whereas participants who reported less stress than their average and had greater somatomotor-left putamen connectivity reported less OCS. These data suggest that stress differentially affects the direction of association between somatomotor-putamen connectivity and OCS. Individual differences in the experience or perception of stress may contribute to more OCS in adolescents with greater somatomotor-putamen connectivity.
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Affiliation(s)
- Daniel J Petrie
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States; Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, United States.
| | - Kathleen D Meeks
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, United States
| | - Zachary F Fisher
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, United States
| | - Charles F Geier
- Department of Human Development and Family Science, University of Georgia, Athens, GA, United States
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4
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Portnova G, Khayrullina GM, Mikheev IV, Byvsheva SM, Proskurnina EV, Martynova O. The Dynamics of Resting-State EEG and Salivary Trace Elements in Patients with Obsessive-Compulsive Disorder. ACS Chem Neurosci 2024; 15:1415-1423. [PMID: 38499363 DOI: 10.1021/acschemneuro.3c00697] [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] [Indexed: 03/20/2024] Open
Abstract
The study of salivary microelements and their neurophysiological and behavioral correlates in patients with obsessive-compulsive disorder (OCD) is a pressing issue in modern psychiatry, which, however, lacks adequate research at this time. In this study, we tested the dynamics of behavioral parameters, resting-state electroencephalogram (EEG), and salivary iron, copper, manganese, magnesium, and zinc in 30 healthy volunteers and 30 individuals with OCD before and after an emotional antisaccade task. The eye-movement data served as a measure of behavioral performance. Our research revealed consistently higher manganese concentrations in the OCD group compared to healthy volunteers associated with a higher EEG ratio of amplitude transformation and symptom severity. The dynamics of salivary microelements and resting-state EEG, possibly influenced by cognitive and emotional load during the anticsaccade task, differed between groups. In healthy volunteers, there was a decrease in salivary iron level with an increase in high-frequency power spectral density of EEG. The OCD group showed a decrease in salivary copper with an increased Hjorth mobility of EEG.
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Affiliation(s)
- Galina Portnova
- Institute of Higher Nervous Activity and Neurophysiology RAS, Butlerova St. 5A, Moscow 117485, Russia
| | - Guzal M Khayrullina
- Institute of Higher Nervous Activity and Neurophysiology RAS, Butlerova St. 5A, Moscow 117485, Russia
- Faculty of Biology and Biotechnology, HSE University, Myasnitskaya 20, Moscow 101000, Russia
| | - Ivan V Mikheev
- Analytical Chemistry Division, Chemistry Department, M.V. Lomonosov Moscow State University, Lenin Hills 1-3, Moscow 119234, Russia
| | - Sofiya M Byvsheva
- Analytical Chemistry Division, Chemistry Department, M.V. Lomonosov Moscow State University, Lenin Hills 1-3, Moscow 119234, Russia
| | - Elena V Proskurnina
- Research Centre for Medical Genetics, ul. Moskvorechye 1, Moscow 115522, Russia
| | - Olga Martynova
- Institute of Higher Nervous Activity and Neurophysiology RAS, Butlerova St. 5A, Moscow 117485, Russia
- Faculty of Biology and Biotechnology, HSE University, Myasnitskaya 20, Moscow 101000, Russia
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Perera MPN, Mallawaarachchi S, Bailey NW, Murphy OW, Fitzgerald PB. Obsessive-compulsive disorder (OCD) is associated with increased electroencephalographic (EEG) delta and theta oscillatory power but reduced delta connectivity. J Psychiatr Res 2023; 163:310-317. [PMID: 37245318 DOI: 10.1016/j.jpsychires.2023.05.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/07/2023] [Accepted: 05/01/2023] [Indexed: 05/30/2023]
Abstract
Obsessive-Compulsive Disorder (OCD) is a mental health condition causing significant decline in the quality of life of sufferers and the limited knowledge on the pathophysiology hinders successful treatment. The aim of the current study was to examine electroencephalographic (EEG) findings of OCD to broaden our understanding of the disease. Resting-state eyes-closed EEG data was recorded from 25 individuals with OCD and 27 healthy controls (HC). The 1/f arrhythmic activity was removed prior to computing oscillatory powers of all frequency bands (delta, theta, alpha, beta, gamma). Cluster-based permutation was used for between-group statistical analyses, and comparisons were performed for the 1/f slope and intercept parameters. Functional connectivity (FC) was measured using coherence and debiased weighted phase lag index (d-wPLI), and statistically analyzed using the Network Based Statistic method. Compared to HC, the OCD group showed increased oscillatory power in the delta and theta bands in the fronto-temporal and parietal brain regions. However, there were no significant between-group findings in other bands or 1/f parameters. The coherence measure showed significantly reduced FC in the delta band in OCD compared to HC but the d-wPLI analysis showed no significant differences. OCD is associated with raised oscillatory power in slow frequency bands in the fronto-temporal brain regions, which agrees with the previous literature and therefore is a potential biomarker. Although delta coherence was found to be lower in OCD, due to inconsistencies found between measures and the previous literature, further research is required to ascertain definitive conclusions.
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Affiliation(s)
- M Prabhavi N Perera
- Central Clinical School, Monash University, Wellington Road, Clayton, Victoria, 3800, Australia.
| | - Sudaraka Mallawaarachchi
- Melbourne Integrative Genomics, School of Mathematics & Statistics, University of Melbourne, Parkville, Victoria, 3052, Australia
| | - Neil W Bailey
- Central Clinical School, Monash University, Wellington Road, Clayton, Victoria, 3800, Australia
| | - Oscar W Murphy
- Central Clinical School, Monash University, Wellington Road, Clayton, Victoria, 3800, Australia; Bionics Institute, East Melbourne, Victoria, 3002, Australia
| | - Paul B Fitzgerald
- Central Clinical School, Monash University, Wellington Road, Clayton, Victoria, 3800, Australia; School of Medicine and Psychology, Australian National University, Canberra, ACT, 2600, Australia
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Talesh A, Zarei A, Yazdi-Ravandi S, Ghaleiha A, Shamsaei F, Matinnia N, Shams J, Ahmadpanah M, Taslimi Z, Moghimbeigi A, Khosrowabadi R. Balance-energy of resting state network in obsessive-compulsive disorder. Sci Rep 2023; 13:10423. [PMID: 37369689 DOI: 10.1038/s41598-023-37304-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 06/20/2023] [Indexed: 06/29/2023] Open
Abstract
Stability of the brain functional network is directly linked to organization of synchronous and anti-synchronous activities. Nevertheless, impact of arrangement of positive and negative links called links topology requires to be well understood. In this study, we investigated how topology of the functional links reduce balance-energy of the brain network in obsessive-compulsive disorder (OCD) and push the network to a more stable state as compared to healthy controls. Therefore, functional associations between the regions were measured using the phase synchrony between the EEG activities. Subsequently, balance-energy of the brain functional network was estimated based on the quality of triadic interactions. Occurrence rates of four different types of triadic interactions including weak and strong balanced, and unbalanced interactions were compared. In addition, impact of the links topology was also investigated by looking at the tendency of positive and negative links to making hubs. Our results showed although the number of positive and negative links were not statistically different between OCD and healthy controls, but positive links in OCDs' brain networks have more tendency to make hub. Moreover, lower number of unbalanced triads and higher number of strongly balanced triad reduced the balance-energy in OCDs' brain networks that conceptually has less requirement to change. We hope these findings could shed a light on better understanding of brain functional network in OCD.
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Affiliation(s)
- Alireza Talesh
- Department of Biomedical Engineering, Tarbiat Modares University, Tehran, Iran
| | - Asghar Zarei
- Department of Biomedical Engineering, Tarbiat Modares University, Tehran, Iran
- Biomedical Engineering Faculty, Sahand University of Technology, Tabriz, Iran
| | - Saeid Yazdi-Ravandi
- Behavioral Disorders and Substance Abuse Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
| | - Ali Ghaleiha
- Behavioral Disorders and Substance Abuse Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Farshid Shamsaei
- Behavioral Disorders and Substance Abuse Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Nasrin Matinnia
- Department of Nursing, College of Basic Science, Hamadan Branch, Islamic Azad University, Hamadan, Iran
| | - Jamal Shams
- Behavioral ScienBces Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Ahmadpanah
- Behavioral Disorders and Substance Abuse Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Zahra Taslimi
- Neurophysiology Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Abbas Moghimbeigi
- Department of Biostatistics, Modeling of Noncommunicable Disease Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Reza Khosrowabadi
- Institute for Cognitive and Brain Science, Shahid Beheshti University, Evin Sq., Tehran, 19839-63113, Iran.
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7
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Liu Y, Sun J, Jiang J, Wan K, Tang Y, Zhang M, Chen L, Hua Q, Fang W, Zhu C, Wang K. Brain functional specialization in obsessive-compulsive disorder associated with neurotransmitter profiles. J Affect Disord 2023; 329:477-482. [PMID: 36871908 DOI: 10.1016/j.jad.2023.02.146] [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: 10/14/2022] [Revised: 02/22/2023] [Accepted: 02/27/2023] [Indexed: 03/07/2023]
Abstract
BACKGROUND Cerebral specialization is an important functional architecture of the human brain. Abnormal cerebral specialization may be the underlying pathogenesis of obsessive-compulsive disorder (OCD). Resting-state functional magnetic resonance imaging (rs-fMRI) was used to show that the specialization pattern of OCD was of great significance for early warning and precise intervention of the disease. METHOD The autonomy index (AI) based on the rs-fMRI was calculated to compare brain specializations between 80 OCD patients and 81 matched healthy controls (HCs). In addition, we also correlated the AI alteration patterns with neurotransmitter receptor/transporter densities. RESULTS OCD patients showed increased AI in the right insula and right superior temporal gyrus when compared with HCs. In addition, AI differences were associated with serotonin receptors (5-HT1AR and 5HT4R), dopamine D2 receptors, norepinephrine transporters, and metabotropic glutamate receptor densities. LIMITATIONS Drug effect; cross-sectional study design; the selection of positron emission tomography template. CONCLUSIONS This study showed abnormal specialization patterns in OCD patients, which may lead to the elucidation of the underlying pathological mechanism of the disease.
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Affiliation(s)
- Yueling Liu
- Department of Psychology, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Jinmei Sun
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Jin Jiang
- Department of Psychology, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Ke Wan
- Department of Psychology, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Yan Tang
- Department of Psychology, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Mengzhu Zhang
- Department of Psychology, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Lu Chen
- Department of Psychology, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Qiang Hua
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Wenmei Fang
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China; Anhui Clinical Center for Mental and Psychological Diseases, Hefei Fourth People's Hospital, Hefei, China; Anhui Mental Health Center, Hefei, China.
| | - Chunyan Zhu
- Department of Psychology, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Department of Psychology, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China.
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
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8
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Bernardi D, Shannahoff-Khalsa D, Sale J, Wright JA, Fadiga L, Papo D. The time scales of irreversibility in spontaneous brain activity are altered in obsessive compulsive disorder. Front Psychiatry 2023; 14:1158404. [PMID: 37234212 PMCID: PMC10208430 DOI: 10.3389/fpsyt.2023.1158404] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/30/2023] [Indexed: 05/27/2023] Open
Abstract
We study how obsessive-compulsive disorder (OCD) affects the complexity and time-reversal symmetry-breaking (irreversibility) of the brain resting-state activity as measured by magnetoencephalography (MEG). Comparing MEG recordings from OCD patients and age/sex matched control subjects, we find that irreversibility is more concentrated at faster time scales and more uniformly distributed across different channels of the same hemisphere in OCD patients than in control subjects. Furthermore, the interhemispheric asymmetry between homologous areas of OCD patients and controls is also markedly different. Some of these differences were reduced by 1-year of Kundalini Yoga meditation treatment. Taken together, these results suggest that OCD alters the dynamic attractor of the brain's resting state and hint at a possible novel neurophysiological characterization of this psychiatric disorder and how this therapy can possibly modulate brain function.
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Affiliation(s)
- Davide Bernardi
- Center for Translational Neurophysiology of Speech and Communication, Fondazione Istituto Italiano di Tecnologia, Ferrara, Italy
| | - David Shannahoff-Khalsa
- BioCircuits Institute, University of California, San Diego, La Jolla, CA, United States
- Center for Integrative Medicine, University of California, San Diego, La Jolla, CA, United States
- The Khalsa Foundation for Medical Science, Del Mar, CA, United States
| | - Jeff Sale
- San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA, United States
| | - Jon A. Wright
- BioCircuits Institute, University of California, San Diego, La Jolla, CA, United States
| | - Luciano Fadiga
- Center for Translational Neurophysiology of Speech and Communication, Fondazione Istituto Italiano di Tecnologia, Ferrara, Italy
- Department of Neuroscience and Rehabilitation, Section of Physiology, University of Ferrara, Ferrara, Italy
| | - David Papo
- Center for Translational Neurophysiology of Speech and Communication, Fondazione Istituto Italiano di Tecnologia, Ferrara, Italy
- Department of Neuroscience and Rehabilitation, Section of Physiology, University of Ferrara, Ferrara, Italy
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9
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Tan B, Yan J, Zhang J, Jin Z, Li L. Aberrant Whole-Brain Resting-State Functional Connectivity Architecture in Obsessive-Compulsive Disorder: An EEG Study. IEEE Trans Neural Syst Rehabil Eng 2022; 30:1887-1897. [PMID: 35786557 DOI: 10.1109/tnsre.2022.3187966] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Obsessive-compulsive disorder (OCD) is a common neuropsychiatric disorder characterized by intrusive thoughts (obsessions) and repetitive behaviors (compulsions), and few studies have assessed the whole-brain functional connectivity architecture of OCD with electroencephalogram (EEG) during different resting states. Graph theory and network-based statistics (NBS) were employed to examine the neural synchronization and the whole-brain functional connectivity (FC) based on the phase-locking value (PLV) of OCD patients and healthy controls (HCs) during eyes-closed (EC) and eyes-open (EO) states. Compared with HCs, OCD patients exhibited not only decreased global synchronization in terms of phase synchrony but also aberrant global topological properties (decreased average shortest path lengths and normalized shortest path lengths together with increased global efficiencies and normalized clustering coefficients) together with inhibited intra-hemispheric and interhemispheric FCs during rest, which suggested an imbalance between functional integration and segregation of brain networks for OCD patients. Meanwhile, OCD patients had increased global efficiencies and normalized clustering coefficients, but decreased average clustering coefficients and normalized shortest path lengths together with significantly decreased FCs in the alpha band from EC to EO states, which suggested a dynamic switch between highly integrated (EC state) and highly specialized (EO state) modes of information processing. Moreover, the decreased FCs of OCD patients showed obvious hemispheric asymmetry within or between groups during EC and EO states, which might serve as a potential biomarker to classify OCD patients from HCs.
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10
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Comprehensive Cortical Structural Features Predict the Efficacy of Cognitive Behavioral Therapy in Obsessive-Compulsive Disorder. Brain Sci 2022; 12:brainsci12070921. [PMID: 35884728 PMCID: PMC9322050 DOI: 10.3390/brainsci12070921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/30/2022] [Accepted: 07/09/2022] [Indexed: 12/10/2022] Open
Abstract
Although cognitive behavioral therapy (CBT) is effective for patients with obsessive-compulsive disorder (OCD), 40% of OCD patients show a poor response to CBT. This study aimed to identify the cortical structural factors that predict CBT outcomes in OCD patients. A total of 56 patients with OCD received baseline structural MRI (sMRI) scanning and 14 individual CBT sessions. The linear support vector regression (SVR) models were used to identify the predictive performance of sMRI indices, including gray matter volume, cortical thickness, sulcal depth, and gyrification value. The patients’ OC symptoms decreased significantly after CBT intervention (p < 0.001). We found the model with the comprehensive variables exhibited better performance than the models with single structural indices (MAE = 0.14, MSE = 0.03, R2 = 0.36), showing a significant correlation between the true value and the predicted value (r = 0.63, p < 0.001). The results indicated that a model integrating four cortical structural features can accurately predict the effectiveness of CBT for OCD. Future models incorporating other brain indicators, including brain functional indicators, EEG indicators, neurotransmitters, etc., which might be more accurate for predicting the effectiveness of CBT for OCD, are needed.
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11
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Sabu P, Stuldreher IV, Kaneko D, Brouwer AM. A Review on the Role of Affective Stimuli in Event-Related Frontal Alpha Asymmetry. FRONTIERS IN COMPUTER SCIENCE 2022. [DOI: 10.3389/fcomp.2022.869123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Frontal alpha asymmetry refers to the difference between the right and left alpha activity over the frontal brain region. Increased activity in the left hemisphere has been linked to approach motivation and increased activity in the right hemisphere has been linked to avoidance or withdrawal. However, research on alpha asymmetry is diverse and has shown mixed results, which may partly be explained by the potency of the used stimuli to emotionally and motivationally engage participants. This review gives an overview of the types of affective stimuli utilized with the aim to identify which stimuli elicit a strong approach-avoidance effect in an affective context. We hope this contributes to better understanding of what is reflected by alpha asymmetry, and in what circumstances it may be an informative marker of emotional state. We systematically searched the literature for studies exploring event-related frontal alpha asymmetry in affective contexts. The search resulted in 61 papers, which were categorized in five stimulus categories that were expected to differ in their potency to engage participants: images & sounds, videos, real cues, games and other tasks. Studies were viewed with respect to the potency of the stimuli to evoke significant approach-avoidance effects on their own and in interaction with participant characteristics or condition. As expected, passively perceived stimuli that are multimodal or realistic, seem more potent to elicit alpha asymmetry than unimodal stimuli. Games, and other stimuli with a strong task-based component were expected to be relatively engaging but approach-avoidance effects did not seem to be much clearer than the studies using perception of videos and real cues. While multiple factors besides stimulus characteristics determine alpha asymmetry, and we did not identify a type of affective stimulus that induces alpha asymmetry highly consistently, our results indicate that strongly engaging, salient and/or personally relevant stimuli are important to induce an approach-avoidance effect.
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Yan X, Gao W, Yang J, Yuan J. Emotion Regulation Choice in Internet Addiction: Less Reappraisal, Lower Frontal Alpha Asymmetry. Clin EEG Neurosci 2022; 53:278-286. [PMID: 34894803 DOI: 10.1177/15500594211056433] [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] [Indexed: 01/13/2023]
Abstract
Individuals with internet addiction (IA) show difficulties in emotion regulation. However, they could effectively employ emotion regulation strategies when instructed. We speculate that this discrepancy might be caused by maladaptive emotion regulation choices. Recent studies indicated that decreased activity of the left frontal cortex could be a neural marker of reappraisal use. To address this problem, individuals with IA (n = 17, IA group) and healthy individuals (n = 23, healthy control [HC] group) were required to choose an emotion regulation strategy between reappraisal and distraction to regulate their emotions varying in emotional intensity and valence. We also compared the resting state frontal alpha asymmetry (FAA) of these 2 groups. The results replicated more choices of reappraisal in low- versus high-intensity emotional contexts across groups. More importantly, the IA group chose reappraisal less frequently compared with the HC group, irrespective of emotional intensity. Furthermore, we found individuals with IA have lower FAA than healthy controls, and FAA shows a positive correlation with the use of reappraisal. These findings suggest that IA alters individuals' patterns of emotion regulation choice and impairs frontal activities, causing difficulties in emotion regulation.
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Affiliation(s)
- Xinyu Yan
- 66331Institute of Brain and Psychological Sciences, 66331Sichuan Normal University, Chengdu, China.,26463Southwest University, Chongqing, China
| | - Wei Gao
- 26463Southwest University, Chongqing, China
| | - Jiemin Yang
- 66331Institute of Brain and Psychological Sciences, 66331Sichuan Normal University, Chengdu, China
| | - Jiajin Yuan
- 66331Institute of Brain and Psychological Sciences, 66331Sichuan Normal University, Chengdu, China
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13
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Watson D, Levin-Aspenson HF, Waszczuk MA, Conway CC, Dalgleish T, Dretsch MN, Eaton NR, Forbes MK, Forbush KT, Hobbs KA, Michelini G, Nelson BD, Sellbom M, Slade T, South SC, Sunderland M, Waldman I, Witthöft M, Wright AGC, Kotov R, Krueger RF. Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): III. Emotional dysfunction superspectrum. World Psychiatry 2022; 21:26-54. [PMID: 35015357 PMCID: PMC8751579 DOI: 10.1002/wps.20943] [Citation(s) in RCA: 95] [Impact Index Per Article: 47.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is a quantitative nosological system that addresses shortcomings of traditional mental disorder diagnoses, including arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, substantial heterogeneity within disorders, and diagnostic unreliability over time and across clinicians. This paper reviews evidence on the validity and utility of the internalizing and somatoform spectra of HiTOP, which together provide support for an emotional dysfunction superspectrum. These spectra are composed of homogeneous symptom and maladaptive trait dimensions currently subsumed within multiple diagnostic classes, including depressive, anxiety, trauma-related, eating, bipolar, and somatic symptom disorders, as well as sexual dysfunction and aspects of personality disorders. Dimensions falling within the emotional dysfunction superspectrum are broadly linked to individual differences in negative affect/neuroticism. Extensive evidence establishes that dimensions falling within the superspectrum share genetic diatheses, environmental risk factors, cognitive and affective difficulties, neural substrates and biomarkers, childhood temperamental antecedents, and treatment response. The structure of these validators mirrors the quantitative structure of the superspectrum, with some correlates more specific to internalizing or somatoform conditions, and others common to both, thereby underlining the hierarchical structure of the domain. Compared to traditional diagnoses, the internalizing and somatoform spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and greater clinical applicability. Validated measures are currently available to implement the HiTOP system in practice, which can make diagnostic classification more useful, both in research and in the clinic.
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Affiliation(s)
- David Watson
- Department of Psychology, University of Notre Dame, South Bend, IN, USA
| | | | - Monika A Waszczuk
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | | | - Tim Dalgleish
- Medical Research Council, Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Michael N Dretsch
- US Army Medical Research Directorate - West, Walter Reed Army Institute of Research, Joint Base Lewis-McChord, WA, USA
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Miriam K Forbes
- Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Kelsie T Forbush
- Department of Psychology, University of Kansas, Lawrence, KS, USA
| | - Kelsey A Hobbs
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Giorgia Michelini
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Brady D Nelson
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Martin Sellbom
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Tim Slade
- Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, Australia
| | - Susan C South
- Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
| | - Matthew Sunderland
- Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, Australia
| | - Irwin Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Michael Witthöft
- Department for Clinical Psychology, Psychotherapy, and Experimental Psychopathology, University of Mainz, Mainz, Germany
| | - Aidan G C Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
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14
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Kong X, Postema MC, Guadalupe T, de Kovel C, Boedhoe PSW, Hoogman M, Mathias SR, van Rooij D, Schijven D, Glahn DC, Medland SE, Jahanshad N, Thomopoulos SI, Turner JA, Buitelaar J, van Erp TGM, Franke B, Fisher SE, van den Heuvel OA, Schmaal L, Thompson PM, Francks C. Mapping brain asymmetry in health and disease through the ENIGMA consortium. Hum Brain Mapp 2022; 43:167-181. [PMID: 32420672 PMCID: PMC8675409 DOI: 10.1002/hbm.25033] [Citation(s) in RCA: 71] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 03/18/2020] [Accepted: 04/29/2020] [Indexed: 12/18/2022] Open
Abstract
Left-right asymmetry of the human brain is one of its cardinal features, and also a complex, multivariate trait. Decades of research have suggested that brain asymmetry may be altered in psychiatric disorders. However, findings have been inconsistent and often based on small sample sizes. There are also open questions surrounding which structures are asymmetrical on average in the healthy population, and how variability in brain asymmetry relates to basic biological variables such as age and sex. Over the last 4 years, the ENIGMA-Laterality Working Group has published six studies of gray matter morphological asymmetry based on total sample sizes from roughly 3,500 to 17,000 individuals, which were between one and two orders of magnitude larger than those published in previous decades. A population-level mapping of average asymmetry was achieved, including an intriguing fronto-occipital gradient of cortical thickness asymmetry in healthy brains. ENIGMA's multi-dataset approach also supported an empirical illustration of reproducibility of hemispheric differences across datasets. Effect sizes were estimated for gray matter asymmetry based on large, international, samples in relation to age, sex, handedness, and brain volume, as well as for three psychiatric disorders: autism spectrum disorder was associated with subtly reduced asymmetry of cortical thickness at regions spread widely over the cortex; pediatric obsessive-compulsive disorder was associated with altered subcortical asymmetry; major depressive disorder was not significantly associated with changes of asymmetry. Ongoing studies are examining brain asymmetry in other disorders. Moreover, a groundwork has been laid for possibly identifying shared genetic contributions to brain asymmetry and disorders.
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Affiliation(s)
- Xiang‐Zhen Kong
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
| | - Merel C. Postema
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
| | - Tulio Guadalupe
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
| | - Carolien de Kovel
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
| | - Premika S. W. Boedhoe
- Department of Psychiatry, Amsterdam NeuroscienceAmsterdam University Medical Center, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam University Medical CenterVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Martine Hoogman
- Department of Human GeneticsRadboud University Medical CenterNijmegenThe Netherlands
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
| | - Samuel R. Mathias
- Department of PsychiatryBoston Children's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Daan van Rooij
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
| | - Dick Schijven
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
| | - David C. Glahn
- Department of PsychiatryBoston Children's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
- Olin Neuropsychiatry Research CenterInstitute of Living, Hartford HospitalHartfordConnecticutUSA
| | - Sarah E. Medland
- Psychiatric GeneticsQIMR Berghofer Medical Research InstituteBrisbaneQueenslandAustralia
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics InstituteKeck School of Medicine of the University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics InstituteKeck School of Medicine of the University of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Jessica A. Turner
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)Georgia State University, Georgia Institute of Technology, Emory UniversityAtlantaGeorgiaUSA
- Department of Psychology and NeuroscienceGeorgia State UniversityAtlantaGeorgiaUSA
| | - Jan Buitelaar
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CentreNijmegenThe Netherlands
- Karakter Child and Adolescent PsychiatryNijmegenThe Netherlands
| | - Theo G. M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human BehaviorUniversity of California IrvineIrvineCaliforniaUSA
- Center for the Neurobiology of Learning and MemoryUniversity of California IrvineIrvineCaliforniaUSA
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
- Department of Psychiatry, Donders Institute for Brain, Cognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
| | - Simon E. Fisher
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviorRadboud UniversityNijmegenThe Netherlands
| | - Odile A. van den Heuvel
- Department of Psychiatry, Amsterdam NeuroscienceAmsterdam University Medical Center, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam University Medical CenterVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental HealthParkvilleVictoriaAustralia
- Centre for Youth Mental HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Paul M. Thompson
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS)Georgia State University, Georgia Institute of Technology, Emory UniversityAtlantaGeorgiaUSA
| | - Clyde Francks
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviorRadboud UniversityNijmegenThe Netherlands
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15
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Herzog SA, Brakoulias V. The Role of Neurophysiological Biomarkers in Obsessive-Compulsive Disorder. Curr Med Chem 2021; 29:5584-5594. [PMID: 34923935 DOI: 10.2174/0929867329666211217094941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 09/24/2021] [Accepted: 10/22/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Obsessive-compulsive disorder is a highly debilitating psychiatric disorder with a high rate of treatment resistance. Biomarkers for obsessive-compulsive disorder may assist clinicians by predicting response to treatments and prognosis. OBJECTIVE To review the literature with regards to two of the more easily ascertainable and relatively inexpensive physiological biomarkers, i.e. heart rate variability and electroencephalography. METHODS Narrative review of the literature. RESULTS Decreased heart rate variability has been associated with increased symptom severity of obsessive-compulsive disorder. Findings from electroencephalography have also predicted response to pharmacotherapy and it is likely that biomarkers for OCD will have their greatest utility in predicting response to different pharmacological agents. However, the number of studies is small and results are inconsistent. CONCLUSIONS More research is required to determine whether heart rate variability and electrophysiological studies have a clinical role as biomarkers for obsessive-compulsive disorder.
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Affiliation(s)
- Samuel A Herzog
- Department of Psychiatry, Sydney Medical School (Nepean), The University of Sydney, Nepean Hospital, Sydney. Australia
| | - Vlasios Brakoulias
- Department of Psychiatry, Sydney Medical School (Nepean), The University of Sydney, Nepean Hospital, Sydney. Australia
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16
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Diverging patterns of EEG alpha asymmetry in anxious apprehension and anxious arousal. Biol Psychol 2021; 162:108111. [PMID: 33961931 DOI: 10.1016/j.biopsycho.2021.108111] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 04/30/2021] [Accepted: 04/30/2021] [Indexed: 01/02/2023]
Abstract
Anxious apprehension and anxious arousal are central transdiagnostic anxiety dimensions and have been linked to divergent patterns of frontal and parietal alpha asymmetry. The present study examined the relationship between alpha asymmetry and anxiety dimensions in 130 individuals whose electroencephalogram (EEG) was recorded at rest. We applied a 2 (anxious apprehension: low vs. high) × 2 (anxious arousal, low vs. high) design to contrast brain lateralization in four groups. Results revealed that anxious apprehension was associated with more left-than-right frontal brain activity in the lower alpha band, an effect driven by decreased right frontal activity. Exploratory analyses showed more left-than-right brain activity at central sites associated with anxious apprehension. Parietal activity was not lateralized as a function of anxiety dimensions. Taken together, the current results support that anxious apprehension is associated with more left-than-right frontal and central activity, and suggest a broader distribution of alpha asymmetries associated with anxious apprehension than previously thought.
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17
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Amidfar M, Kim YK. EEG Correlates of Cognitive Functions and Neuropsychiatric Disorders: A Review of Oscillatory Activity and Neural Synchrony Abnormalities. CURRENT PSYCHIATRY RESEARCH AND REVIEWS 2021. [DOI: 10.2174/2666082216999201209130117] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background:
A large body of evidence suggested that disruption of neural rhythms and
synchronization of brain oscillations are correlated with a variety of cognitive and perceptual processes.
Cognitive deficits are common features of psychiatric disorders that complicate treatment of
the motivational, affective and emotional symptoms.
Objective:
Electrophysiological correlates of cognitive functions will contribute to understanding of
neural circuits controlling cognition, the causes of their perturbation in psychiatric disorders and
developing novel targets for the treatment of cognitive impairments.
Methods:
This review includes a description of brain oscillations in Alzheimer’s disease, bipolar
disorder, attention-deficit/hyperactivity disorder, major depression, obsessive compulsive disorders,
anxiety disorders, schizophrenia and autism.
Results:
The review clearly shows that the reviewed neuropsychiatric diseases are associated with
fundamental changes in both spectral power and coherence of EEG oscillations.
Conclusion:
In this article, we examined the nature of brain oscillations, the association of brain
rhythms with cognitive functions and the relationship between EEG oscillations and neuropsychiatric
diseases. Accordingly, EEG oscillations can most likely be used as biomarkers in psychiatric
disorders.
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Affiliation(s)
- Meysam Amidfar
- Department of Neuroscience, Tehran University of Medical Sciences, Tehran, Iran
| | - Yong-Ku Kim
- Department of Psychiatry, College of Medicine, Korea University, Seoul, South Korea
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18
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Frota Lisbôa Pereira de Souza AM. Electroencephalographic Correlates of Obsessive-Compulsive Disorder. Curr Top Behav Neurosci 2021; 49:169-199. [PMID: 33590459 DOI: 10.1007/7854_2020_200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
This chapter reviews EEG research in Obsessive-Compulsive Disorder (OCD), focusing on Event-Related Potentials (ERPs) such as the Contingent Negative Variation, N2, Error-Related Negativity, the feedback Error-Related Negativity and the Readiness Potential and their neural bases. The functional significance, utility and correlation of these ERPs with OCD symptoms will be discussed, alongside novel theories for integrating the research findings. I will consider hypotheses including goal-directed behaviour, overreliance on habits, dissociations between action and knowledge, and excessive intolerance of uncertainty in the context of EEG studies, thus providing a comprehensive framework of the electroencephalographic literature concerning OCD.
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19
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Ozel P, Karaca A, Olamat A, Akan A, Ozcoban MA, Tan O. Intrinsic Synchronization Analysis of Brain Activity in Obsessive-compulsive Disorders. Int J Neural Syst 2020; 30:2050046. [PMID: 32902344 DOI: 10.1142/s012906572050046x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Obsessive-compulsive disorder (OCD) is one of the neuropsychiatric disorders qualified by intrusive and iterative annoying thoughts and mental attitudes that are activated by these thoughts. In recent studies, advanced signal processing techniques have been favored to diagnose OCD. This research suggests four different measurements; intrinsic phase-locked value, intrinsic coherence, intrinsic synchronization likelihood, and intrinsic visibility graph similarity that quantifies the synchronization level and complexity in electroencephalography (EEG) signals. This intrinsic synchronization is achieved by utilizing Multivariate Empirical Mode Decomposition (MEMD), a data-driven method that resolves nonlinear and nonstationary data into their intrinsic mode functions. Our intrinsic technique in this study demonstrates that MEMD-based synchronization analysis gives us much more detailed knowledge rather than utilizing the synchronization method alone. Furthermore, the nonlinear synchronization method presents more consistent results considering OCD heterogeneity. Statistical evaluation using sample [Formula: see text]-test and [Formula: see text]-test has shown the significance of such new methodology.
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Affiliation(s)
- Pinar Ozel
- Department of Biomedical Engineering, Nevsehir Haci Bektas Veli University, Nevsehir, Turkey
| | - Ali Karaca
- Department of Electrical and Electronics Engineering, Inonu University, Malatya, Turkey
| | - Ali Olamat
- Department of Biomedical Engineering, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Aydin Akan
- Department of Electrical and Electronics Engineering, Izmir University of Economics, Izmir
| | - Mehmet Akif Ozcoban
- Department of Electronic and Automation in Junior Technical College, Gaziantep University, Gaziantep, Turkey
| | - Oguz Tan
- Neuropsychiatry Health, Practice and Research Centre, Uskudar University, Istanbul, Turkey
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20
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Unmasking the relevance of hemispheric asymmetries—Break on through (to the other side). Prog Neurobiol 2020; 192:101823. [DOI: 10.1016/j.pneurobio.2020.101823] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Revised: 04/17/2020] [Accepted: 05/13/2020] [Indexed: 12/21/2022]
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21
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Kong XZ, Boedhoe PSW, Abe Y, Alonso P, Ameis SH, Arnold PD, Assogna F, Baker JT, Batistuzzo MC, Benedetti F, Beucke JC, Bollettini I, Bose A, Brem S, Brennan BP, Buitelaar J, Calvo R, Cheng Y, Cho KIK, Dallaspezia S, Denys D, Ely BA, Feusner J, Fitzgerald KD, Fouche JP, Fridgeirsson EA, Glahn DC, Gruner P, Gürsel DA, Hauser TU, Hirano Y, Hoexter MQ, Hu H, Huyser C, James A, Jaspers-Fayer F, Kathmann N, Kaufmann C, Koch K, Kuno M, Kvale G, Kwon JS, Lazaro L, Liu Y, Lochner C, Marques P, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, Medland SE, Menchón JM, Minuzzi L, Moreira PS, Morer A, Morgado P, Nakagawa A, Nakamae T, Nakao T, Narayanaswamy JC, Nurmi EL, O'Neill J, Pariente JC, Perriello C, Piacentini J, Piras F, Piras F, Pittenger C, Reddy YCJ, Rus-Oswald OG, Sakai Y, Sato JR, Schmaal L, Simpson HB, Soreni N, Soriano-Mas C, Spalletta G, Stern ER, Stevens MC, Stewart SE, Szeszko PR, Tolin DF, Tsuchiyagaito A, van Rooij D, van Wingen GA, Venkatasubramanian G, Wang Z, Yun JY, Thompson PM, Stein DJ, van den Heuvel OA, Francks C. Mapping Cortical and Subcortical Asymmetry in Obsessive-Compulsive Disorder: Findings From the ENIGMA Consortium. Biol Psychiatry 2020; 87:1022-1034. [PMID: 31178097 PMCID: PMC7094802 DOI: 10.1016/j.biopsych.2019.04.022] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 03/21/2019] [Accepted: 04/10/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND Lateralized dysfunction has been suggested in obsessive-compulsive disorder (OCD). However, it is currently unclear whether OCD is characterized by abnormal patterns of brain structural asymmetry. Here we carried out what is by far the largest study of brain structural asymmetry in OCD. METHODS We studied a collection of 16 pediatric datasets (501 patients with OCD and 439 healthy control subjects), as well as 30 adult datasets (1777 patients and 1654 control subjects) from the OCD Working Group within the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) Consortium. Asymmetries of the volumes of subcortical structures, and of measures of regional cortical thickness and surface areas, were assessed based on T1-weighted magnetic resonance imaging scans, using harmonized image analysis and quality control protocols. We investigated possible alterations of brain asymmetry in patients with OCD. We also explored potential associations of asymmetry with specific aspects of the disorder and medication status. RESULTS In the pediatric datasets, the largest case-control differences were observed for volume asymmetry of the thalamus (more leftward; Cohen's d = 0.19) and the pallidum (less leftward; d = -0.21). Additional analyses suggested putative links between these asymmetry patterns and medication status, OCD severity, or anxiety and depression comorbidities. No significant case-control differences were found in the adult datasets. CONCLUSIONS The results suggest subtle changes of the average asymmetry of subcortical structures in pediatric OCD, which are not detectable in adults with the disorder. These findings may reflect altered neurodevelopmental processes in OCD.
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Affiliation(s)
- Xiang-Zhen Kong
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
| | - Premika S W Boedhoe
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Yoshinari Abe
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Pino Alonso
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-Institut d'Investigació Biomédica de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental-CIBERSAM, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
| | - Stephanie H Ameis
- The Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health, Campbell Family Mental Health Research Institute, The Centre for Addiction and Mental Health, Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Alberta; Centre for Brain and Mental Health, The Hospital for Sick Children, Toronto, Alberta
| | - Paul D Arnold
- Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Calgary, Alberta; Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta
| | - Francesca Assogna
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia Foundation, Rome, Italy
| | - Justin T Baker
- McLean Hopsital, Harvard Medical School, Belmont, Massachusetts
| | - Marcelo C Batistuzzo
- Departamento e Instituto de Psiquiatria do Hospital das Clinicas, IPQ HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Jan C Beucke
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Irene Bollettini
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Anushree Bose
- Obsessive-Compulsive Disorder Clinic, Department of Psychiatry National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Silvia Brem
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zürich, Zürich, Switzerland; Neuroscience Center Zürich, University of Zürich and Eidgenössische Technische Hochschule Zürich, Zürich, Switzerland
| | - Brian P Brennan
- McLean Hopsital, Harvard Medical School, Belmont, Massachusetts
| | - Jan Buitelaar
- Department of Cognitive Neuroscience, Radboud University, Nijmegen, The Netherlands
| | - Rosa Calvo
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic Universitari, Barcelona, Spain; Department of Medicine, University of Barcelona, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Shanghai, People's Republic of China
| | - Kang Ik K Cho
- Institute of Human Behavioral Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
| | - Sara Dallaspezia
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Damiaan Denys
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands; Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Benjamin A Ely
- Department of Neuroscience, Graduate School of Biomedical Sciences, New York, New York
| | - Jamie Feusner
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Kate D Fitzgerald
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Jean-Paul Fouche
- Department of Psychiatry, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa; Department of Psychiatry, University of Stellenbosch, Cape Town, South Africa
| | | | - David C Glahn
- Department of Psychiatry, New Haven, Connecticut; Olin Neuropsychiatric Research Center, Olin Neuropsychiatry Research Center, Hartford, Connecticut
| | | | - Deniz A Gürsel
- Department of Neuroradiology, Technische Universität München, München, Germany; TUM-Neuroimaging Center (TUM-NIC) of Klinikum Rechts der Isar, Technische Universität München, München, Germany
| | - Tobias U Hauser
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zürich, Zürich, Switzerland; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom; Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom
| | - Yoshiyuki Hirano
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Marcelo Q Hoexter
- Departamento e Instituto de Psiquiatria do Hospital das Clinicas, IPQ HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Hao Hu
- Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Chaim Huyser
- Department of Child and Adolescent Psychiatry, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands; De Bascule, Academic Center for Child and Adolescent Psychiatry, Amsterdam, The Netherlands
| | - Anthony James
- Department of Psychiatry, Oxford University, Oxford, United Kingdom
| | - Fern Jaspers-Fayer
- University of British Columbia, British Columbia Children's Hospital, Vancouver, British Columbia
| | - Norbert Kathmann
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Christian Kaufmann
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Kathrin Koch
- Department of Neuroradiology, Technische Universität München, München, Germany; TUM-Neuroimaging Center (TUM-NIC) of Klinikum Rechts der Isar, Technische Universität München, München, Germany
| | - Masaru Kuno
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Gerd Kvale
- OCD Team, Haukeland University Hospital, Bergen, Norway; Department of Clinical Psychology, University of Bergen, Bergen, Norway
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Luisa Lazaro
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic Universitari, Barcelona, Spain; Department of Medicine, University of Barcelona, Universitat Autònoma de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Yanni Liu
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Christine Lochner
- SU/UCT MRC Unit on Anxiety and Stress Disorders, University of Stellenbosch, Cape Town, South Africa
| | - Paulo Marques
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Braga/Guimarães, Portugal; Clinical Academic Center-Braga, Braga, Braga/Guimarães, Portugal; Life and Health Sciences Research Institute (ICVS)/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Rachel Marsh
- Columbia University Irving Medical Center, New York State Psychiatric Institute, Columbia University, New York, New York; The Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, Columbia University, New York, New York
| | - Ignacio Martínez-Zalacaín
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-Institut d'Investigació Biomédica de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain; Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland
| | - José M Menchón
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-Institut d'Investigació Biomédica de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental-CIBERSAM, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
| | - Luciano Minuzzi
- Mood Disorders Clinic, St. Joseph's Healthcare, Hamilton, Ontario, Canada
| | - Pedro S Moreira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Braga/Guimarães, Portugal; Clinical Academic Center-Braga, Braga, Braga/Guimarães, Portugal; Life and Health Sciences Research Institute (ICVS)/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Astrid Morer
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic Universitari, Barcelona, Spain; Department of Medicine, University of Barcelona, Universitat Autònoma de Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Pedro Morgado
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Braga/Guimarães, Portugal; Clinical Academic Center-Braga, Braga, Braga/Guimarães, Portugal; Life and Health Sciences Research Institute (ICVS)/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Akiko Nakagawa
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Takashi Nakamae
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Janardhanan C Narayanaswamy
- Obsessive-Compulsive Disorder Clinic, Department of Psychiatry National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Erika L Nurmi
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Joseph O'Neill
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Jose C Pariente
- Magnetic Resonance Image Core Facility, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Chris Perriello
- McLean Hopsital, Harvard Medical School, Belmont, Massachusetts; University of Illinois at Urbana-Champaign, Champaign, Illinois
| | - John Piacentini
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia Foundation, Rome, Italy
| | - Federica Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia Foundation, Rome, Italy
| | | | - Y C Janardhan Reddy
- Obsessive-Compulsive Disorder Clinic, Department of Psychiatry National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | - Yuki Sakai
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan; ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan
| | - Joao R Sato
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo Andre, Brazil
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - H Blair Simpson
- Columbia University Irving Medical Center, New York State Psychiatric Institute, Columbia University, New York, New York; Center for OCD and Related Disorders, New York State Psychiatric Institute, New York, New York
| | - Noam Soreni
- Pediatric OCD Consultation Service, Anxiety Treatment and Research Center, St. Joseph's Healthcare, Hamilton, Ontario, Canada
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-Institut d'Investigació Biomédica de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental-CIBERSAM, University of Barcelona, Barcelona, Spain; Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia Foundation, Rome, Italy; Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas
| | - Emily R Stern
- Department of Psychiatry, New York University School of Medicine, New York, New York; Nathan Kline Institute for Psychiatric Research, Orangeburg, New York
| | - Michael C Stevens
- Yale University School of Medicine, New Haven, Connecticut; Clinical Neuroscience and Development Laboratory, Olin Neuropsychiatry Research Center, Hartford, Connecticut
| | - S Evelyn Stewart
- Department of Psychiatry, British Columbia Children's Hospital, Vancouver, British Columbia; Provincial Obsessive-Compulsive Disorder Program, British Columbia Children's Hospital, Vancouver, British Columbia
| | - Philip R Szeszko
- Icahn School of Medicine at Mount Sinai, New York State Psychiatric Institute, Columbia University, New York, New York; James J. Peters VA Medical Center, New York, New York
| | - David F Tolin
- Yale University School of Medicine, New Haven, Connecticut; Institute of Living/Hartford Hospital, Hartford, Connecticut
| | - Aki Tsuchiyagaito
- Research Center for Child Mental Development, Chiba University, Chiba, Japan; Laureate Institute for Brain Research, Tulsa, Oklahoma
| | - Daan van Rooij
- Department of Cognitive Neuroscience, Radboud University, Nijmegen, The Netherlands
| | - Guido A van Wingen
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Ganesan Venkatasubramanian
- Obsessive-Compulsive Disorder Clinic, Department of Psychiatry National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Zhen Wang
- Shanghai Mental Health Center, Shanghai, People's Republic of China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People's Republic of China
| | - Je-Yeon Yun
- Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea; Seoul National University Hospital, Seoul, Republic of Korea
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, California
| | - Dan J Stein
- SU/UCT MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Odile A van den Heuvel
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Clyde Francks
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands.
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Zhang J, Hua Y, Xiu L, Oei TP, Hu P. Resting state frontal alpha asymmetry predicts emotion regulation difficulties in impulse control. PERSONALITY AND INDIVIDUAL DIFFERENCES 2020. [DOI: 10.1016/j.paid.2020.109870] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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Zohdi H, Scholkmann F, Wolf U. Frontal cerebral oxygenation asymmetry: intersubject variability and dependence on systemic physiology, season, and time of day. NEUROPHOTONICS 2020; 7:025006. [PMID: 32607390 PMCID: PMC7310879 DOI: 10.1117/1.nph.7.2.025006] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 06/08/2020] [Indexed: 05/04/2023]
Abstract
Significance: Our study reveals that frontal cerebral oxygenation asymmetry (FCOA), i.e. a difference in the oxygenation between the right and left prefrontal cortex (PFC), is a real phenomenon in healthy human subjects at rest. Aim: To investigate FCOA, we performed a study with 134 healthy right-handed subjects with the systemic physiology augmented functional near infrared spectroscopy (SPA-fNIRS) approach. Approach: Subjects were measured 2 to 4 times on different days resulting in an unprecedented number of 518 single measurements of the absolute values of tissue oxygen saturation (StO 2 ) and total hemoglobin concentration ([tHb]) of the right and left PFC. Measurements were performed with frequency-domain functional near-infrared spectroscopy. In addition, the cardiorespiratory parameters were measured simultaneously. Results: We found that (i) subjects showed an FCOA (higherStO 2 on the right PFC), but not for tHb; (ii) intrasubject variability was excellent for bothStO 2 and tHb, and fair for FCOA; (iii) StO 2 correlated significantly with bloodCO 2 concentration, [tHb] with heart rate, respiration rate (RR), and the pulse-respiration quotient (PRQ), and FCOA with RR and PRQ; (iv) FCOA andStO 2 were dependent on season and time of day, respectively; (v) FCOA was negatively correlated with the room temperature; and (vi) StO 2 and tHb were not correlated with the subjects mood but with their chronotype, whereas FCOA was not dependent on the chronotype. Conclusion: Our study demonstrates that FCOA is real, and it provides unique insights into this remarkable phenomenon.
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Affiliation(s)
- Hamoon Zohdi
- University of Bern, Institute of Complementary and Integrative Medicine, Bern, Switzerland
| | - Felix Scholkmann
- University of Bern, Institute of Complementary and Integrative Medicine, Bern, Switzerland
- University of Zurich, University Hospital Zurich, Biomedical Optics Research Laboratory, Department of Neonatology, Zurich, Switzerland
| | - Ursula Wolf
- University of Bern, Institute of Complementary and Integrative Medicine, Bern, Switzerland
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Kim JS, Kang ES, Bahk YC, Jang S, Hong KS, Baek JH. Exploratory Analysis of Behavioral Impulsivity, Pro-inflammatory Cytokines, and Resting-State Frontal EEG Activity Associated With Non-suicidal Self-Injury in Patients With Mood Disorder. Front Psychiatry 2020; 11:124. [PMID: 32174860 PMCID: PMC7057238 DOI: 10.3389/fpsyt.2020.00124] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Accepted: 02/12/2020] [Indexed: 12/21/2022] Open
Abstract
Introduction: Non-suicidal self-injury (NSSI) is a rapidly increasing mental health problem that requires more clinical attention. In this study, we aimed to explore the biobehavioral markers of NSSI in participants with mood disorders. Methods: A total of 45 participants with mood disorders (bipolar I, II, and major depressive disorder) were included in the study. Behavioral impulsivity was measured using the immediate memory task (IMT)/delayed memory task (DMT) and the go-no-go (GNG) tests. Plasma levels of tumor necrosis factor-α (TNF-α), interleukin 1 beta (IL-1 β), and interleukin 6 (IL-6) and resting-state quantitative electroencephalography (qEEG) were measured. Results: The NSSI group had shorter GNG reaction time (GNG-RT) and higher TNF-α levels compared to the non-NSSI group. TNF-α was positively correlated with frontal theta power. In addition, GNG-RT showed a significant positive association with frontal alpha activity. Conclusion: NSSI in mood disorders was associated with increased behavioral impulsivity and greater inflammation. Increased pro-inflammatory cytokines were associated with frontal theta power. Increased inflammation might change major neurotransmitter metabolism, which eventually affects frontal function and decreases response inhibition. Further studies to explore their causal relationship are warranted.
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Affiliation(s)
- Ji Sun Kim
- Department of Psychiatry, Sooncheonhyang University Cheonan Hospital, Cheonan, South Korea
| | - Eun-Sook Kang
- Department of Laboratory Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yong Chun Bahk
- Samsung Biomedical Research Institute, Seoul, South Korea
| | - Sunglee Jang
- Samsung Biomedical Research Institute, Seoul, South Korea
| | - Kyung Sue Hong
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Ji Hyun Baek
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
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25
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Perera MPN, Bailey NW, Herring SE, Fitzgerald PB. Electrophysiology of obsessive compulsive disorder: A systematic review of the electroencephalographic literature. J Anxiety Disord 2019; 62:1-14. [PMID: 30469123 DOI: 10.1016/j.janxdis.2018.11.001] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Revised: 10/04/2018] [Accepted: 11/03/2018] [Indexed: 01/04/2023]
Abstract
Obsessive-compulsive disorder (OCD) is a chronic disease that causes significant decline in the quality of life of those affected. Due to our limited understanding of the underlying pathophysiology of OCD, successful treatment remains elusive. Although many have studied the pathophysiology of OCD through electroencephalography (EEG), limited attempts have been made to synthesize and interpret their findings. To bridge this gap, we conducted a comprehensive literature review using Medline/PubMed and considered the 65 most relevant studies published before June 2018. The findings are categorised into quantitative EEG, sleep related EEG and event related potentials (ERPs). Increased frontal asymmetry, frontal slowing and an enhancement in the ERP known as error related negativity (ERN) were consistent findings in OCD. However, sleep EEG and other ERP (P3 and N2) findings were inconsistent. Additionally, we analysed the usefulness of ERN as a potential candidate endophenotype. We hypothesize that dysfunctional frontal circuitry and overactive performance monitoring are the major underlying impairments in OCD. Additionally, we conceptualized that defective fronto-striato-thalamic circuitry causing poor cerebral functional connectivity gives rise to the OCD behavioural manifestations. Finally, we have discussed transcranial magnetic stimulation and EEG (TMS-EEG) applications in future research to further our knowledge of the underlying pathophysiology of OCD.
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Affiliation(s)
- M Prabhavi N Perera
- Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and Alfred Hospital, Level 4, 607, St. Kilda Road, Melbourne, Victoria 3004, Australia.
| | - Neil W Bailey
- Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and Alfred Hospital, Level 4, 607, St. Kilda Road, Melbourne, Victoria 3004, Australia; Epworth Centre for Innovation in Mental Health, Epworth HealthCare, 888 Toorak Rd, Camberwell, Victoria 3124, Australia.
| | - Sally E Herring
- Epworth Centre for Innovation in Mental Health, Epworth HealthCare, 888 Toorak Rd, Camberwell, Victoria 3124, Australia.
| | - Paul B Fitzgerald
- Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and Alfred Hospital, Level 4, 607, St. Kilda Road, Melbourne, Victoria 3004, Australia; Epworth Centre for Innovation in Mental Health, Epworth HealthCare, 888 Toorak Rd, Camberwell, Victoria 3124, Australia.
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Tastevin M, Spatola G, Régis J, Lançon C, Richieri R. Deep brain stimulation in the treatment of obsessive-compulsive disorder: current perspectives. Neuropsychiatr Dis Treat 2019; 15:1259-1272. [PMID: 31190832 PMCID: PMC6526924 DOI: 10.2147/ndt.s178207] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 04/23/2019] [Indexed: 12/18/2022] Open
Abstract
Deep brain stimulation (DBS) is a neuro-psychosurgical technique widely accepted in movement disorders, such as Parkinson's disease. Since 1999, DBS has been explored for severe, chronic and treatment-refractory psychiatric diseases. Our review focuses on DBS in obsessive-compulsive disorder (OCD), considered as a last treatment resort by most of learned societies in psychiatry. Two main stimulation areas have been studied: the striatal region and the subthalamic nucleus. But, most of the trials are open-labeled, and the rare controlled ones have failed to highlight the most efficient target. The recent perspectives are otherwise encouraging. Indeed, clinicians are currently considering other promising targets. A case series of 2 patients reported a decrease in OCD symptoms after DBS in the medial forebrain bundle and an open-label study is exploring bilateral habenula stimulation. New response criteria are also investigating such as quality of life, or subjective and lived-experience. Moreover, first papers about cost-effectiveness which is an important criterion in decision making, have been published. The effectiveness of tractography-assisted DBS or micro-assisted DBS is studying with the aim to improve targeting precision. In addition, a trial involving rechargeable pacemakers is undergoing because this mechanism could be efficient and have a positive impact on cost-effectiveness. A recent trial has discussed the possibility of using combined cognitive behavioral therapy (CBT) and DBS as an augmentation strategy. Finally, based on RDoc Research, the latest hypotheses about the understanding of cortico-striato-thalamo-cortical circuits could offer new directions including clinical predictors and biomarkers to perform adaptive closed-loop systems in the next future.
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Affiliation(s)
- Maud Tastevin
- Department of Psychiatry, Addictions and Psychiatry for Children, Public Assistance Marseille Hospitals, 13005 Marseille, France
| | - Giorgio Spatola
- Department of Functional and Stereotactic Neurosurgery, Public Assistance Marseille Hospitals, 13005 Marseille, France.,Institut de Neurosciences des Systèmes, Aix Marseille University, Inserm UMR1106, France
| | - Jean Régis
- Department of Functional and Stereotactic Neurosurgery, Public Assistance Marseille Hospitals, 13005 Marseille, France.,Institut de Neurosciences des Systèmes, Aix Marseille University, Inserm UMR1106, France
| | - Christophe Lançon
- Department of Psychiatry, Addictions and Psychiatry for Children, Public Assistance Marseille Hospitals, 13005 Marseille, France
| | - Raphaëlle Richieri
- Department of Psychiatry, Addictions and Psychiatry for Children, Public Assistance Marseille Hospitals, 13005 Marseille, France.,Faculté des Sciences de Saint Jérôme, Aix Marseille University, Institut Fresnel - UMR 7249, Marseille, France
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Yazdi-Ravandi S, Akhavanpour H, Shamsaei F, Matinnia N, Ahmadpanah M, Ghaleiha A, Khosrowabadi R. Differential pattern of brain functional connectome in obsessive-compulsive disorder versus healthy controls. EXCLI JOURNAL 2018; 17:1090-1100. [PMID: 30564085 PMCID: PMC6295628 DOI: 10.17179/excli2018-1757] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Accepted: 10/31/2018] [Indexed: 02/06/2023]
Abstract
Researchers believe that recognition of functional impairment in some of brain networks such as frontal-parietal, default mode network (DMN), anterior medial prefrontal cortex (MPFC) and striatal structures could be a beneficial biomarker for diagnosis of obsessive-compulsive disorder (OCD). Although it is well recognized brain functional connectome in OCD patients shows changes, debate still remains on characteristics of the changes. In this regard, little has been done so far to statistically assess the altered pattern using whole brain electroencephalography. In this study, resting state EEG data of 39 outpatients with OCD and 19 healthy controls (HC) were recorded. After, brain functional network was estimated from the cleaned EEG data using the weighted phase lag index algorithm. Output matrices of OCD group and HCs were then statistically compared to represent meaningful differences. Significant differences in functional connectivity pattern were demonstrated in several regions. As expected the most significant changes were observed in frontal cortex, more significant in frontal-temporal connections (between F3 and F7, and T5 regions). These results in OCD patients are consistent with previous studies and confirm the role of frontal and temporal brain regions in OCD.
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Affiliation(s)
- Saeid Yazdi-Ravandi
- Behavioral Disorders and Substance Abuse Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Hassan Akhavanpour
- Institute for Cognitive and Brain Sciences, Shahid Beheshti University GC, Tehran, Iran
| | - Farshid Shamsaei
- Behavioral Disorders and Substance Abuse Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Nasrin Matinnia
- Department of Nursing, College of Basic Science, Hamadan Branch, Islamic Azad University, Hamadan, Iran
| | - Mohammad Ahmadpanah
- Behavioral Disorders and Substance Abuse Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Ali Ghaleiha
- Behavioral Disorders and Substance Abuse Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Reza Khosrowabadi
- Institute for Cognitive and Brain Sciences, Shahid Beheshti University GC, Tehran, Iran
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Ghaffari H, Yoonessi A, Darvishi MJ, Ahmadi A. Normal Electrical Activity of the Brain in Obsessive-Compulsive Patients After Anodal Stimulation of the Left Dorsolateral Prefrontal Cortex. Basic Clin Neurosci 2018; 9:135-146. [PMID: 29967673 PMCID: PMC6026096 DOI: 10.29252/nirp.bcn.9.2.135] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Introduction: Transcranial Direct Current Stimulation (tDCS) has been used as a non-invasive method to increase the plasticity of brain. Growing evidence has shown several brain disorders such as depression, anxiety disorders, and chronic pain syndrome are improved following tDCS. In patients with Obsessive-Compulsive Disorder (OCD), increased brain rhythm activity particularly in the frontal lobe has been reported in several studies using Eectroencephalogram (EEG). To our knowledge, no research has been done on the effects of electrical stimulation on brain signals of patients with OCD. We measured the electrical activity of the brain using EEG in patients with OCD before and after tDCS and compared it to normal participants. Methods: Eight patients with OCD (3 males) and 8 matched healthy controls were recruited. A 64-channel EEG was used to record a 5-min resting state before and after application of tDCS in both groups. The intervention of tDCS was applied for 15 minutes with 2 mA amplitude where anode was placed on the left Dorsolateral Prefrontal Cortex (DLPFC) and cathode on the right DLPFC. Results: In line with previous studies, the results showed that the power of Delta frequency band in OCD patients are significantly higher than the normal group. Following anodal tDCS, hyperactivity in Delta and Theta bands declined in most channels, particularly in DLPFC (F3, F4) and became similar to normal signals pattern. The reduction in Delta band was significantly more than the other bands. Conclusion: Anodal tDCS over the left DLPFC significantly decreased the power of frequency bands of Delta and Theta in Patients with OCD. The pattern of EEG activity after tDCS became particularly similar to normal, so tDCS may have potential clinical application in these patients.
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Affiliation(s)
- Hamidreza Ghaffari
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Yoonessi
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Javad Darvishi
- Department of Biomedical Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
| | - Akbar Ahmadi
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
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Bruder GE, Stewart JW, McGrath PJ. Right brain, left brain in depressive disorders: Clinical and theoretical implications of behavioral, electrophysiological and neuroimaging findings. Neurosci Biobehav Rev 2017; 78:178-191. [PMID: 28445740 DOI: 10.1016/j.neubiorev.2017.04.021] [Citation(s) in RCA: 112] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 04/19/2017] [Accepted: 04/20/2017] [Indexed: 12/15/2022]
Abstract
The right and left side of the brain are asymmetric in anatomy and function. We review electrophysiological (EEG and event-related potential), behavioral (dichotic and visual perceptual asymmetry), and neuroimaging (PET, MRI, NIRS) evidence of right-left asymmetry in depressive disorders. Recent electrophysiological and fMRI studies of emotional processing have provided new evidence of altered laterality in depressive disorders. EEG alpha asymmetry and neuroimaging findings at rest and during cognitive or emotional tasks are consistent with reduced left prefrontal activity in depressed patients, which may impair downregulation of amygdala response to negative emotional information. Dichotic listening and visual hemifield findings for non-verbal or emotional processing have revealed abnormal perceptual asymmetry in depressive disorders, and electrophysiological findings have shown reduced right-lateralized responsivity to emotional stimuli in occipitotemporal or parietotemporal cortex. We discuss models of neural networks underlying these alterations. Of clinical relevance, individual differences among depressed patients on measures of right-left brain function are related to diagnostic subtype of depression, comorbidity with anxiety disorders, and clinical response to antidepressants or cognitive behavioral therapy.
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Affiliation(s)
- Gerard E Bruder
- Department of Psychiatry, Columbia University College of Physicians & Surgeons, New York, USA; Cognitive Neuroscience Division, New York State Psychiatric Institute, New York, USA.
| | - Jonathan W Stewart
- Department of Psychiatry, Columbia University College of Physicians & Surgeons, New York, USA; Depression Evaluation Service, New York State Psychiatric Institute, New York, USA.
| | - Patrick J McGrath
- Department of Psychiatry, Columbia University College of Physicians & Surgeons, New York, USA; Depression Evaluation Service, New York State Psychiatric Institute, New York, USA.
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Bandelow B, Baldwin D, Abelli M, Bolea-Alamanac B, Bourin M, Chamberlain SR, Cinosi E, Davies S, Domschke K, Fineberg N, Grünblatt E, Jarema M, Kim YK, Maron E, Masdrakis V, Mikova O, Nutt D, Pallanti S, Pini S, Ströhle A, Thibaut F, Vaghix MM, Won E, Wedekind D, Wichniak A, Woolley J, Zwanzger P, Riederer P. Biological markers for anxiety disorders, OCD and PTSD: A consensus statement. Part II: Neurochemistry, neurophysiology and neurocognition. World J Biol Psychiatry 2017; 18:162-214. [PMID: 27419272 PMCID: PMC5341771 DOI: 10.1080/15622975.2016.1190867] [Citation(s) in RCA: 173] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Accepted: 05/03/2016] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Biomarkers are defined as anatomical, biochemical or physiological traits that are specific to certain disorders or syndromes. The objective of this paper is to summarise the current knowledge of biomarkers for anxiety disorders, obsessive-compulsive disorder (OCD) and posttraumatic stress disorder (PTSD). METHODS Findings in biomarker research were reviewed by a task force of international experts in the field, consisting of members of the World Federation of Societies for Biological Psychiatry Task Force on Biological Markers and of the European College of Neuropsychopharmacology Anxiety Disorders Research Network. RESULTS The present article (Part II) summarises findings on potential biomarkers in neurochemistry (neurotransmitters such as serotonin, norepinephrine, dopamine or GABA, neuropeptides such as cholecystokinin, neurokinins, atrial natriuretic peptide, or oxytocin, the HPA axis, neurotrophic factors such as NGF and BDNF, immunology and CO2 hypersensitivity), neurophysiology (EEG, heart rate variability) and neurocognition. The accompanying paper (Part I) focuses on neuroimaging and genetics. CONCLUSIONS Although at present, none of the putative biomarkers is sufficient and specific as a diagnostic tool, an abundance of high quality research has accumulated that should improve our understanding of the neurobiological causes of anxiety disorders, OCD and PTSD.
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Affiliation(s)
- Borwin Bandelow
- Department of Psychiatry and Psychotherapy, University of Göttingen, Germany
| | - David Baldwin
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Marianna Abelli
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - Blanca Bolea-Alamanac
- School of Social and Community Medicine, Academic Unit of Psychiatry, University of Bristol, Bristol, UK
| | - Michel Bourin
- Neurobiology of Anxiety and Mood Disorders, University of Nantes, Nantes, France
| | - Samuel R. Chamberlain
- Hertfordshire Partnership University NHS Foundation Trust and University of Hertfordshire, Parkway, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Eduardo Cinosi
- Department of Neuroscience Imaging and Clinical Sciences, Gabriele D’Annunzio University, Chieti, Italy
| | - Simon Davies
- Centre for Addiction and Mental Health, Geriatric Psychiatry Division, University of Toronto, Toronto, Canada
- School of Social and Community Medicine, Academic Unit of Psychiatry, University of Bristol, Bristol, UK
| | - Katharina Domschke
- Department of Psychiatry Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany
| | - Naomi Fineberg
- Hertfordshire Partnership University NHS Foundation Trust and University of Hertfordshire, Parkway, UK
| | - Edna Grünblatt
- Department of Psychiatry Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and the ETH Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Marek Jarema
- Third Department of Psychiatry, Institute of Psychiatry and Neurology, Warszawa, Poland
| | - Yong-Ku Kim
- Department of Psychiatry College of Medicine, Korea University, Seoul, Republic of Korea
| | - Eduard Maron
- Department of Psychiatry, North Estonia Medical Centre, Tallinn, Estonia
- Department of Psychiatry, University of Tartu, Estonia
- Faculty of Medicine Department of Medicine, Centre for Neuropsychopharmacology, Division of Brain Sciences, Imperial College London, UK
| | - Vasileios Masdrakis
- Athens University Medical School, First Department of Psychiatry, Eginition Hospital, Athens, Greece
| | - Olya Mikova
- Foundation Biological Psychiatry, Sofia, Bulgaria
| | - David Nutt
- Faculty of Medicine Department of Medicine, Centre for Neuropsychopharmacology, Division of Brain Sciences, Imperial College London, UK
| | - Stefano Pallanti
- UC Davis Department of Psychiatry and Behavioural Sciences, Sacramento, CA, USA
| | - Stefano Pini
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - Andreas Ströhle
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité – University Medica Center Berlin, Berlin, Germany
| | - Florence Thibaut
- Faculty of Medicine Paris Descartes, University Hospital Cochin, Paris, France
| | - Matilde M. Vaghix
- Department of Psychology and Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK
| | - Eunsoo Won
- Department of Psychiatry College of Medicine, Korea University, Seoul, Republic of Korea
| | - Dirk Wedekind
- Department of Psychiatry and Psychotherapy, University of Göttingen, Germany
| | - Adam Wichniak
- Third Department of Psychiatry, Institute of Psychiatry and Neurology, Warszawa, Poland
| | - Jade Woolley
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Peter Zwanzger
- kbo-Inn-Salzach-Klinikum Wasserburg am Inn, Germany
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - Peter Riederer
- Department of Psychiatry Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany
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Warden-Smith J, Paul L, Olukogbon K, Bointon ES, Cole RH, John SR, Dong S, Jacob TJC. Light and smell stimulus protocol reduced negative frontal EEG asymmetry and improved mood. Open Life Sci 2017. [DOI: 10.1515/biol-2017-0006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
AbstractLight and smell have both been shown to induce beneficial changes to human psychophysiology. Bright light therapy has been shown to have a positive impact on anxiety and depression and smell has also been shown to have positive effects on mood, stress, anxiety and depression. We developed a method for the delivery of integrated light and smell stimulation to try to optimise positive psychophysiological benefit. We tested its effectiveness on a physiological measure, EEG frontal alpha asymmetry (FA) and a psychological paradigm, the POMS test, both of which have been used as a measure of emotional state and mood. Light, pleasant smell, combined light+smell and a no stimulus control were delivered for 90s while the frontal alpha asymmetry (FA) was monitored. Smell and light+smell caused significant reductions in negative FA during stimulation. Exposure to a longer 15 min nonadaptive light+smell stimulus protocol reduced negative FA and decreased negative affect (POMS). The effects were greater in the negative FA group. Both the physiological (EEG) and psychometric (POMS) data indicate that integrated light and smell stimulation can reduce negative affect and reduce a marker for anxiety/ depression. This light+smell sensory stimulation protocol could offer a safe treatment for depression/anxiety.
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Affiliation(s)
| | - Laboni Paul
- School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK
| | | | - Emma S Bointon
- School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK
| | - Richard H Cole
- School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK
| | - Sarah R John
- School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK
| | - Shan Dong
- School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK
| | - Tim J C Jacob
- School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK
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Gordon HW. Putting Hemispheric Asymmetry to Use in Understanding Brain Diseases. JOURNAL OF SYSTEMS AND INTEGRATIVE NEUROSCIENCE 2016; 3:10.15761/JSIN.1000144. [PMID: 28480059 PMCID: PMC5417540 DOI: 10.15761/jsin.1000144] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Harold W Gordon
- Epidemiology Research Branch, Division of Epidemiology, Services, and Prevention Research, National Institute on Drug Abuse, 6001 Executive Boulevard, Room 5151, Bethesda, MD 20893, +1 301 443-6504,
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Alpha oscillations and their impairment in affective and post-traumatic stress disorders. Neurosci Biobehav Rev 2016; 68:794-815. [PMID: 27435239 DOI: 10.1016/j.neubiorev.2016.07.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2016] [Revised: 06/26/2016] [Accepted: 07/06/2016] [Indexed: 12/28/2022]
Abstract
Affective and anxiety disorders are debilitating conditions characterized by impairments in cognitive and social functioning. Elucidating their neural underpinnings may assist in improving diagnosis and developing targeted interventions. Neural oscillations are fundamental for brain functioning. Specifically, oscillations in the alpha frequency range (alpha rhythms) are prevalent in the awake, conscious brain and play an important role in supporting perceptual, cognitive, and social processes. We review studies utilizing various alpha power measurements to assess abnormalities in brain functioning in affective and anxiety disorders as well as obsessive compulsive and post-traumatic stress disorders. Despite some inconsistencies, studies demonstrate associations between aberrant alpha patterns and these disorders both in response to specific cognitive and emotional tasks and during a resting state. We conclude by discussing methodological considerations and future directions, and underscore the need for much further research on the role of alpha functionality in social contexts. As social dysfunction accompanies most psychiatric conditions, research on alpha's involvement in social processes may provide a unique window into the neural mechanisms underlying these disorders.
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Patterns of alpha asymmetry in those with elevated worry, trait anxiety, and obsessive-compulsive symptoms: A test of the worry and avoidance models of alpha asymmetry. Neuropsychologia 2016; 85:118-26. [PMID: 26970143 DOI: 10.1016/j.neuropsychologia.2016.03.010] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Revised: 02/23/2016] [Accepted: 03/09/2016] [Indexed: 01/07/2023]
Abstract
Some authors have argued that worry cues lateralization of frontal brain activity leftward, whereas other varieties of avoidance motivation cue lateralization of frontal brain activity rightward. By comparison, more right-than-left parietal activity correlates with anxious arousal. The purpose of the present report was to test two models of brain lateralization and anxiety: one model that proposed that worry correlates with more left-frontal activity and another model that proposed that avoidance motivation (including worry) correlates with more right-frontal activity. Undergraduate students were selected for worry, obsessive-compulsive symptoms, and trait anxiety using self-report questionnaires. A subset of participants also met DSM-IV criteria for Generalized Anxiety Disorder (GAD) or Obsessive-Compulsive Disorder (OCD). Alpha asymmetry and also a global-power-adjusted metric of alpha power were calculated from each participant's resting-state EEG. It was expected that participants with elevated worry and participants meeting criteria for GAD would show more left-than-right frontal activity. In contrast, participants with elevated trait anxiety, obsessive-compulsive symptoms, and those with an OCD diagnosis were expected to exhibit more right-than-left frontal activity. Participants with elevated worry, participants with a GAD diagnosis, and participants with elevated obsessive-compulsive symptoms, had more left frontal activity than low symptom individuals. Those with high scores on trait anxiety, but low worry, had greater right frontal and parietal activity compared to controls. The present results suggest that brain lateralization is not solely related to avoidance motivation, and suggest that facets of anxiety may cut across dimensions not well-represented by DSM-based categories.
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Kamaradova D, Hajda M, Prasko J, Taborsky J, Grambal A, Latalova K, Ociskova M, Brunovsky M, Hlustik P. Cognitive deficits in patients with obsessive-compulsive disorder - electroencephalography correlates. Neuropsychiatr Dis Treat 2016; 12:1119-25. [PMID: 27226716 PMCID: PMC4866747 DOI: 10.2147/ndt.s93040] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is associated with cognitive dysfunction. Although there are several studies focused on the neurobiology of OCD, little is known about the biological correlates of the cognitive deficit linked to this disorder. The aim of our study was to examine the association between cognitive impairment and current source density markers in patients with OCD. METHODS Resting-state eyes-closed electroencephalography (EEG) data were recorded in 20 patients with OCD and 15 healthy controls who were involved in the study. Cortical EEG sources were estimated by standardized low-resolution electromagnetic tomography in seven frequency bands: delta (1.5-6 Hz), theta (6.5-8 Hz), alpha-1 (8.5-10 Hz), alpha-2 (10.5-12 Hz), beta-1 (12.5-18 Hz), beta-2 (18.5-21 Hz), and beta-3 (21.5-30 Hz). Cognitive performance was measured by the Trail-Making Test (versions A and B), Stroop CW Test, and D2 Test. RESULTS Frontal delta and theta EEG sources showed significantly higher activity in the whole group of patients with OCD (N=20) than in control subjects (N=15). Subsequent analysis revealed that this excess of low-frequency activity was present only in the subgroup of eleven patients with cognitive impairment (based on the performance in the Trail-Making Test - A). The subgroup of patients with normal cognitive functions (N=9) did not differ in cortical EEG sources from healthy controls. CONCLUSION The present results suggest that frontal low-frequency cortical sources of resting-state EEG rhythms can distinguish groups of cognitively impaired and cognitively intact patients with OCD. Based on our results, future studies should consider whether the present methodological approach provides clinically useful information for the revelation of cognitive impairment in patients with OCD.
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Affiliation(s)
- Dana Kamaradova
- Department of Psychiatry, University Hospital Olomouc, Olomouc, Czech Republic; Department of Psychiatry, Palacky University Olomouc, Olomouc, Czech Republic
| | - Miroslav Hajda
- Department of Psychiatry, University Hospital Olomouc, Olomouc, Czech Republic; Department of Psychiatry, Palacky University Olomouc, Olomouc, Czech Republic
| | - Jan Prasko
- Department of Psychiatry, University Hospital Olomouc, Olomouc, Czech Republic; Department of Psychiatry, Palacky University Olomouc, Olomouc, Czech Republic
| | - Jiri Taborsky
- Department of Psychiatry, University Hospital Olomouc, Olomouc, Czech Republic; Department of Psychiatry, Palacky University Olomouc, Olomouc, Czech Republic
| | - Ales Grambal
- Department of Psychiatry, University Hospital Olomouc, Olomouc, Czech Republic; Department of Psychiatry, Palacky University Olomouc, Olomouc, Czech Republic
| | - Klara Latalova
- Department of Psychiatry, University Hospital Olomouc, Olomouc, Czech Republic; Department of Psychiatry, Palacky University Olomouc, Olomouc, Czech Republic
| | - Marie Ociskova
- Department of Psychiatry, University Hospital Olomouc, Olomouc, Czech Republic; Department of Psychiatry, Palacky University Olomouc, Olomouc, Czech Republic
| | | | - Petr Hlustik
- Department of Neurology, University Hospital Olomouc, Olomouc, Czech Republic; Department of Neurology, Palacky University, Olomouc, Czech Republic
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Philip NS, Carpenter SL, Ridout SJ, Sanchez G, Albright SE, Tyrka AR, Price LH, Carpenter LL. 5Hz Repetitive transcranial magnetic stimulation to left prefrontal cortex for major depression. J Affect Disord 2015; 186:13-7. [PMID: 26210705 PMCID: PMC4565741 DOI: 10.1016/j.jad.2014.12.024] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2014] [Accepted: 12/04/2014] [Indexed: 10/23/2022]
Abstract
BACKGROUND Repetitive transcranial magnetic stimulation (rTMS) to left prefrontal cortex at 10Hz is the most commonly utilized protocol for major depressive disorder (MDD). Published data suggests that left sided 5Hz rTMS may be efficacious and well tolerated. OBJECTIVE We analyzed outcomes in a naturalistic cohort of MDD patients who could not tolerate 10Hz rTMS and were routinely switched to 5Hz. We hypothesized that the efficacy of 5Hz rTMS would be equivalent to 10Hz. METHODS Records were reviewed for patients (n=98) who received 15 or more acute rTMS treatments. The sample was split based upon the frequency (10 or 5Hz) at which the majority of treatments were delivered. The Inventory of Depressive Symptoms (IDS-SR) and 9-Item Patient Health Questionnaire (PHQ-9) were used to evaluate outcomes. RESULTS Baseline IDS-SR was higher in the 5Hz (n=27) than in the 10Hz (n=71) group (p<.05), as was frequency of comorbid anxiety (p=.002). Depression outcomes did not differ between groups, and there were no differences in response or remission rates (all p>.1). Statistical power was sufficient to detect small group differences (d=.26). LIMITATIONS Open-label data in a naturalistic setting. CONCLUSION Outcomes associated with 5Hz rTMS did not differ from 10Hz, despite higher baseline depressive symptom severity and anxiety in 5Hz patients. 5Hz stimulation may be an alternative treatment option for patients unable to tolerate 10Hz rTMS.
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Affiliation(s)
- Noah S Philip
- Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, RI, United States; Butler Hospital Mood Disorders Research Program, Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, United States.
| | - S Louisa Carpenter
- Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, RI, United States
| | - Samuel J Ridout
- Butler Hospital Mood Disorders Research Program, Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, United States
| | - George Sanchez
- Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, RI, United States
| | - Sarah E Albright
- Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, RI, United States
| | - Audrey R Tyrka
- Butler Hospital Mood Disorders Research Program, Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, United States
| | - Lawrence H Price
- Butler Hospital Mood Disorders Research Program, Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, United States
| | - Linda L Carpenter
- Butler Hospital Mood Disorders Research Program, Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, United States
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Jesulola E, Sharpley CF, Bitsika V, Agnew LL, Wilson P. Frontal alpha asymmetry as a pathway to behavioural withdrawal in depression: Research findings and issues. Behav Brain Res 2015; 292:56-67. [DOI: 10.1016/j.bbr.2015.05.058] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2015] [Revised: 05/21/2015] [Accepted: 05/23/2015] [Indexed: 12/28/2022]
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Wong M, Woody EZ, Schmidt LA, Ameringen MV, Soreni N, Szechtman H. Frontal EEG alpha activity and obsessive-compulsive behaviors in non-clinical young adults: a pilot study. Front Psychol 2015; 6:1480. [PMID: 26483733 PMCID: PMC4586322 DOI: 10.3389/fpsyg.2015.01480] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2015] [Accepted: 09/14/2015] [Indexed: 12/03/2022] Open
Abstract
Previous studies have shown that the resting electroencephalogram (EEG) alpha patterns of non-clinical participants who score high on measures of negative affect, such as depression and shyness, are different from those who score low. However, we know relatively little about patterns of resting EEG alpha patterns in a non-clinical sample of individuals with high levels of obsessive-compulsive behaviors indicative of obsessive-compulsive disorder (OCD). Here we measured resting EEG alpha activity in frontal and parietal regions of non-clinical participants who scored high and low on the Padua-R, a measure of the severity of OCD-related behaviors. We found that participants who scored high on the Padua-R exhibited decreased overall activity in frontal regions relative to individuals who scored low on the measure. We speculate that frontal hypoactivity may be a possible marker and/or index of risk for OCD.
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Affiliation(s)
- Michael Wong
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Erik Z. Woody
- Department of Psychology, University of Waterloo, Waterloo, ON, Canada
| | - Louis A. Schmidt
- Department of Psychology, Neuroscience, and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Michael Van Ameringen
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Noam Soreni
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Henry Szechtman
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
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