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Pastre M, Occéan B, Boudousq V, Conejero I, Fabbro‐Peray P, Collombier L, Mallet L, Lopez‐Castroman J. Serotonergic underpinnings of obsessive-compulsive disorder: A systematic review and meta-analysis of neuroimaging findings. Psychiatry Clin Neurosci 2025; 79:48-59. [PMID: 39511769 PMCID: PMC11789457 DOI: 10.1111/pcn.13760] [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: 06/25/2024] [Revised: 10/16/2024] [Accepted: 10/18/2024] [Indexed: 11/15/2024]
Abstract
Obsessive-compulsive disorder (OCD) is a frequent and disabling condition, with many patients being treatment-resistant. Improved understanding of its neurobiology is vital for better therapies. Evidence is still conflicting regarding specific serotonergic-related dysfunctions in OCD. We systematically reviewed the literature to provide a quantitative assessment of the role of serotonin (5-HT) in patients with untreated OCD through imaging. We searched for neuroimaging studies investigating central 5-HT tonus in unmedicated patients with OCD, excluding studies comprising treated patients to prevent bias from antidepressant-induced changes in serotonergic tonus. We also conducted a meta-analysis using a homogeneous group of positron emission tomography and single photon emission computed tomography articles that compared 5-HT transporter (SERT) and 5-HT2A receptor (HT2AR) binding potential in different brain regions of patients with untreated OCD and healthy controls. The systematic review encompassed 18 articles, with 13 included in the subsequent meta-analysis. Risk of bias was assessed by a revised form of the Newcastle-Ottawa Scale. We provided standardized mean difference (SMD) values for SERT and 5-HT2AR binding potential measures across 15 different brain regions. Patients with OCD showed lower SERT binding potential in the brainstem (SMD = -1.13, 95% CI [-1.81 to -0.46]), midbrain (SMD = -0.54, 95% CI [-0.92 to -0.16]), and thalamus/hypothalamus regions (SMD = -0.58, 95% CI [-0.99 to -0.18]) with neglectable to moderate heterogeneity. By combining results from 2 decades of molecular imaging studies, we show that individuals with OCD exhibit lower SERT binding potential in specific brain regions, providing compelling evidence of a 5-HT system dysfunction. However, the exact mechanisms underlying this phenotype remain elusive. The limitations include heterogeneity across studies in populations, imaging techniques, and radiotracer usage.
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Affiliation(s)
| | - Bob‐Valéry Occéan
- Laboratoire de Biostatistique, Epidémiologie clinique, Santé Publique Innovation et Méthodologie (BESPIM)CHU NimesNimesFrance
| | - Vincent Boudousq
- Département de Médecine Nucléaire et Biophysique MédicaleCHU NimesNimesFrance
| | | | - Pascale Fabbro‐Peray
- Laboratoire de Biostatistique, Epidémiologie clinique, Santé Publique Innovation et Méthodologie (BESPIM)CHU NimesNimesFrance
| | - Laurent Collombier
- Département de Médecine Nucléaire et Biophysique MédicaleCHU NimesNimesFrance
| | - Luc Mallet
- Université Paris‐Est Créteil, DMU IMPACT, Département Médical‐Universitaire de Psychiatrie et d'AddictologieHôpitaux Universitaires Henri Mondor‐Albert Chenevier, Assistance Publique‐Hôpitaux de ParisCréteilFrance
- Institut du Cerveau‐Paris Brain Institute–ICMSorbonne Université, Inserm, CNRSParisFrance
- Department of Mental Health and Psychiatry, Global Health InstituteUniversity of GenevaGenevaSwitzerland
| | - Jorge Lopez‐Castroman
- Department of PsychiatryCHU NimesNimesFrance
- CIBERSAM, ISCIIIMadridSpain
- Department of Psychiatry, Radiology, Public Health, Nursing and MedicineUniversity of Santiago de CompostelaSantiago de CompostelaSpain
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Akın A, Yorgancıgil E, Öztürk OC, Sütçübaşı B, Kırımlı C, Elgün Kırımlı E, Dumlu SN, Yükselen G, Erdoğan SB. Small world properties of schizophrenia and OCD patients derived from fNIRS based functional brain network connectivity metrics. Sci Rep 2024; 14:24314. [PMID: 39414848 PMCID: PMC11484758 DOI: 10.1038/s41598-024-72199-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 09/04/2024] [Indexed: 10/18/2024] Open
Abstract
Individuals suffering from obsessive compulsive disorder (OCD) and schizophrenia (SCZ) frequently exhibit symptoms of cognitive disassociations, which are linked to poor functional integration among brain regions. The loss of functional integration can be assessed using graph metrics computed from functional connectivity matrices (FCMs) derived from neuroimaging data. A healthy brain at rest is known to exhibit small-world features with high clustering coefficients and shorter path lengths in contrast to random networks. The aim of this study was to compare the small-world properties of prefrontal cortical functional networks of healthy subjects with OCD and SCZ patient groups by use of hemodynamic data obtained with functional near infrared spectroscopy (fNIRS). 13 healthy subjects and 47 patients who were clinically diagnosed with either OCD (N = 21) or SCZ (N = 26) completed a Stroop test while their prefrontal cortex (PFC) hemodynamics were monitored with fNIRS. The Stroop test had a block design consisting of neutral, congruent and incongruent stimuli. For each subject and stimuli type, FCMs were derived separately which were then used to compute small world features that included (i) global efficiency (GE), (ii) clustering coefficient (CC), (iii) modularity (Q), and (iv) small-world parameter ( σ ). Small-world features of patients exhibited random networks which were indicated by higher GE and lower CC values when compared to healthy controls, implying a higher neuronal operational cost.
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Affiliation(s)
- Ata Akın
- Department of Biomedical Engineering, Acibadem University, Istanbul, Turkey.
| | - Emre Yorgancıgil
- Department of Biomedical Engineering, Acibadem University, Istanbul, Turkey
| | - Ozan Cem Öztürk
- Department of Biomedical Engineering, Acibadem University, Istanbul, Turkey
- School of Psychology, University of Kent, Canterbury, UK
| | | | - Ceyhun Kırımlı
- Department of Biomedical Engineering, Acibadem University, Istanbul, Turkey
| | | | - Seda Nilgün Dumlu
- Department of Computer Engineering, Acibadem University, Istanbul, Turkey
| | - Gülnaz Yükselen
- Department of Computer Engineering, Acibadem University, Istanbul, Turkey
| | - S Burcu Erdoğan
- Department of Biomedical Engineering, Acibadem University, Istanbul, Turkey
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Pardossi S, Cuomo A, Fagiolini A. Unraveling the Boundaries, Overlaps, and Connections between Schizophrenia and Obsessive-Compulsive Disorder (OCD). J Clin Med 2024; 13:4739. [PMID: 39200881 PMCID: PMC11355622 DOI: 10.3390/jcm13164739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 07/29/2024] [Accepted: 08/07/2024] [Indexed: 09/02/2024] Open
Abstract
Schizophrenia (SCZ) and obsessive-compulsive disorder (OCD) typically have distinct diagnostic criteria and treatment approaches. SCZ is characterized by delusions, hallucinations, disorganized speech, and cognitive impairments, while OCD involves persistent, intrusive thoughts (obsessions) and repetitive behaviors (compulsions). The co-occurrence of these disorders increases clinical complexity and poses significant challenges for diagnosis and treatment. Epidemiological studies indicate a significant overlap, with prevalence rates of comorbid OCD in SCZ patients ranging from 12% to 25%, which is higher than in the general population. Etiological hypotheses suggest shared genetic, neurobiological, and environmental factors, with genetic studies identifying common loci and pathways, such as glutamatergic and dopaminergic systems. Neuroimaging studies reveal both overlapping and distinct neural abnormalities, indicating shared and unique neurobiological substrates. Environmental factors, like early life stressors and urbanicity, also contribute to the comorbidity. The overlapping clinical features of both disorders complicate diagnosis. Treatment approaches include combining SSRIs with antipsychotics and cognitive behavioral therapy (CBT). The complexity of SCZ and OCD comorbidity underscores the need for a dimensional, spectrum-based perspective on psychiatric disorders, alongside traditional categorical approaches, to improve diagnosis and treatment outcomes.
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Affiliation(s)
| | | | - Andrea Fagiolini
- Department of Molecular Medicine, University of Siena School of Medicine, 53100 Siena, Italy; (S.P.); (A.C.)
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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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Desfossés-Vallée S, Leclerc JB, Blanchet P, O’Connor KP, Lavoie ME. Comparing the 'When' and the 'Where' of Electrocortical Activity in Patients with Tourette Syndrome, Body-Focused Repetitive Behaviors, and Obsessive Compulsive Disorder. J Clin Med 2024; 13:2489. [PMID: 38731020 PMCID: PMC11084402 DOI: 10.3390/jcm13092489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 04/17/2024] [Accepted: 04/17/2024] [Indexed: 05/13/2024] Open
Abstract
Background/Objectives: Tourette Syndrome (TS), Obsessive Compulsive Disorder (OCD), and Body-Focused Repetitive Behaviors (BFRB) are three disorders that share many similarities in terms of phenomenology, neuroanatomy, and functionality. However, despite the literature pointing toward a plausible spectrum of these disorders, only a few studies have compared them. Studying the neurocognitive processes using Event-Related Potentials (ERPs) offers the advantage of assessing brain activity with excellent temporal resolution. The ERP components can then reflect specific processes known to be potentially affected by these disorders. Our first goal is to characterize 'when' in the processing stream group differences are the most prominent. The second goal is to identify 'where' in the brain the group discrepancies could be. Methods: Participants with TS (n = 24), OCD (n = 18), and BFRB (n = 16) were matched to a control group (n = 59) and were recorded with 58 EEG electrodes during a visual counting oddball task. Three ERP components were extracted (i.e., P200, N200, and P300), and generating sources were modelized with Standardized Low-Resolution Electromagnetic Tomography. Results: We showed no group differences for the P200 and N200 when controlling for anxiety and depressive symptoms, suggesting that the early cognitive processes reflected by these components are relatively intact in these populations. Our results also showed a decrease in the later anterior P300 oddball effect for the TS and OCD groups, whereas an intact oddball effect was observed for the BFRB group. Source localization analyses with sLORETA revealed activations in the lingual and middle occipital gyrus for the OCD group, distinguishing it from the other two clinical groups and the controls. Conclusions: It seems that both TS and OCD groups share deficits in anterior P300 activation but reflect distinct brain-generating source activations.
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Affiliation(s)
- Sarah Desfossés-Vallée
- Laboratoire de Psychophysiologie Cognitive et Sociale, Montréal, QC H1N 3J4, Canada;
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montréal, QC H1N 3J4, Canada; (J.B.L.); (P.B.); (K.P.O.)
- Département de Psychologie, Université de Montréal, Montréal, QC H3C 3J7, Canada
| | - Julie B. Leclerc
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montréal, QC H1N 3J4, Canada; (J.B.L.); (P.B.); (K.P.O.)
- Département de Psychologie, Université du Québec à Montréal, Montréal, QC H2X 3P2, Canada
- Centre de Recherche CIUSSS du Nord-de-l’île-de-Montréal, Montréal, QC H4J 1C5, Canada
| | - Pierre Blanchet
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montréal, QC H1N 3J4, Canada; (J.B.L.); (P.B.); (K.P.O.)
- Faculté de Médecine Dentaire, Département de Stomatologie, Université de Montréal, Montréal, QC H3C 3J7, Canada
| | - Kieron P. O’Connor
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montréal, QC H1N 3J4, Canada; (J.B.L.); (P.B.); (K.P.O.)
- Département de Psychiatrie et Addictologie, Université de Montréal, Montréal, QC H3C 3J7, Canada
| | - Marc E. Lavoie
- Laboratoire de Psychophysiologie Cognitive et Sociale, Montréal, QC H1N 3J4, Canada;
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montréal, QC H1N 3J4, Canada; (J.B.L.); (P.B.); (K.P.O.)
- Département de Sciences Humaines, Lettres et Communication, Université TÉLUQ, Quebec City, QC G1K 9H6, Canada
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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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Wang L, Li S, Gong L, Zheng Z, Chen Y, Chen G, Yan T. Right parietal repetitive transcranial magnetic stimulation in obsessive compulsive disorder: A pilot study. Asian J Psychiatr 2024; 93:103902. [PMID: 38280243 DOI: 10.1016/j.ajp.2023.103902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/25/2023] [Accepted: 12/29/2023] [Indexed: 01/29/2024]
Affiliation(s)
- Li Wang
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Shoucheng Li
- Department of Clinical Psychology, Huai'an Third People's Hospital, Beijing, China
| | - Li Gong
- Department of Clinical Psychology, Huai'an Third People's Hospital, Beijing, China
| | - Zhi Zheng
- Department of Clinical Psychology, Huai'an Third People's Hospital, Beijing, China
| | - Yinghong Chen
- Department of Clinical Psychology, Huai'an Third People's Hospital, Beijing, China
| | - Gang Chen
- Department of Clinical Psychology, Huai'an Third People's Hospital, Beijing, China.
| | - Tianyi Yan
- School of Medical Technology, Beijing Institute of Technology, Beijing, China.
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Lochner C, Naudé PJ, Stein DJ. Use of Post-mortem Brain Tissue in Investigations of Obsessive- Compulsive Disorder: A Systematic Review. Curr Neuropharmacol 2024; 22:963-975. [PMID: 37644747 PMCID: PMC10845092 DOI: 10.2174/1570159x21666230829145425] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/24/2022] [Accepted: 12/29/2022] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Post-mortem examination of the brain is a key strategy to increase our understanding of the neurobiology of mental disorders. While extensive post-mortem research has been undertaken on some mental disorders, others appear to have been relatively neglected. OBJECTIVE The objective of the study was to conduct a systematic review of post-mortem research on obsessive-compulsive disorder (OCD). METHODS A systematic review was performed in accordance with PRISMA guidelines to provide an overview of quantitative, qualitative, or mixed methods primary research studies on OCD. Search platforms included NCBI Pubmed, SCOPUS, and Web of Science. RESULTS A total of 52 publications were found, and after the removal of works not meeting the inclusion criteria, six (6) peer-reviewed publications remained. These post-mortem studies have provided data on DNA methylation, cellular and molecular alterations, and gene expression profiling in brain areas associated with OCD. DISCUSSION AND CONCLUSION Included studies highlight the potential value of post-mortem brains from well-characterized individuals with OCD and suggest the need for additional work in this area.
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Affiliation(s)
- Christine Lochner
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Stellenbosch, Stellenbosch, South Africa
| | - Petrus J.W. Naudé
- Department of Psychiatry and Mental Health & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Dan J. Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Mental Health & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
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Kapıcı OB, Kapıcı Y, Tekin A. Comparison of accidental findings of brain magnetic resonance imaging of patients with obsessive-compulsive disorder and healthy controls. BMC Psychiatry 2023; 23:899. [PMID: 38041033 PMCID: PMC10693021 DOI: 10.1186/s12888-023-05393-5] [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: 08/23/2023] [Accepted: 11/21/2023] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND Abnormalities in brain magnetic resonance imaging (MRI) have been reported in drug-naive and chronic patients with obsessive-compulsive disorder (OCD). The Fazekas scale is a method used to categorize and grade the severity of white matter hyperintensities (WMH) in brain MRI. These lesions can be indicative of various neurological conditions, particularly small vessel disease or cerebrovascular pathology. METHODS Brain MRIs of patients followed up with the diagnosis of OCD were retrospectively analyzed. 58 OCD (36 females, 22 males) and 58 healthy controls (HC) (30 females, 28 males) were included in the study. Age, gender, and brain MRI findings of the participants were recorded. RESULTS The mean ages of the OCD and HC groups were 33.4 ± 10.6 and 35.9 ± 9.3. There was no difference between the groups in terms of mean ages and gender distribution (p = 0.180 and p = 0.260, accordingly). Generalized cerebral atrophy was more common in patients with OCD than in HC (p = 0.008). Fazekas grade 1 was detected in 17.2% of the patients with OCD and 1.7% of HC. Accordingly, it was significantly more common in Fazekas grade 1 OCD patients (p = 0.002). Fazekas grade 2 was detected in only 2 patient with OCD. CVI was present in 20.7% of the patients with OCD and 1.7% of HC. There was a significant difference between the groups regarding CVI (p = 0.001). Ethmoidal thickening was more common in patients with OCD than in HC (p = 0.004). The YBOCS scores and ages of OCD patients with Fazekas grade 1 and 2 were significantly higher than those of patients with Fazekas grade 0. Likewise, the YBOCS scores and ages of OCD patients with generalized cerebral atrophy were significantly higher than those of patients without atrophy. CONCLUSION It is understood from the present study's findings that CVI, a neurodevelopmental malformation, is more common in patients with OCD. Due to the potential relationship of this anomaly with neuronal migration, it would be appropriate to pay attention to OCD symptoms in individuals with CVI and to perform white matter examination on brain imaging. In future studies, Fazekas grade can be evaluated in drug-naive OCD patients, and data on the pre-disease period can be obtained.
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Affiliation(s)
- Olga Bayar Kapıcı
- Department of Radiology, Adıyaman Training and Research Hospital, Adıyaman, Turkey
| | - Yaşar Kapıcı
- Department of Psychiatry, Adıyaman University Medical Faculty, Adıyaman, Turkey.
| | - Atilla Tekin
- Department of Psychiatry, Adıyaman University Medical Faculty, Adıyaman, Turkey
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Khayrullina G, Panfilova E, Martynova O. Increased error rate and delayed response to negative emotional stimuli in antisaccade task in obsessive-compulsive disorder. Int J Psychophysiol 2023; 192:62-71. [PMID: 37604280 DOI: 10.1016/j.ijpsycho.2023.08.009] [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: 05/21/2023] [Revised: 08/02/2023] [Accepted: 08/17/2023] [Indexed: 08/23/2023]
Abstract
Ample evidence links impaired inhibitory control, attentional distortions, emotional dysregulation, and obsessive-compulsive disorder (OCD). However, it remains unclear what underlies the deficit that triggers the OCD cycle. The present study used an antisaccade paradigm with emotional valences to compare eye movement patterns reflecting inhibitory control and attention switching in OCD and healthy control groups. Thirty-two patients with OCD and thirty healthy controls performed the antisaccade task with neutral, positive, and negative visual images served as fixation stimuli. Presentation of the fixation stimulus overlapped with target stimuli appearance for 200 ms. The OCD group showed more errors to negative stimuli than the control group and they also performed antisaccades more slowly to negative and neutral stimuli than positive ones. Other patterns, including mean gaze velocity of correct antisaccades did not differ between groups. The mean gaze velocity of correct antisaccades was higher for negative and positive stimuli than for neutral stimuli in both groups. The peak velocity parameter did not show any differences either between groups or between valences. The findings support a hypothesis that an attentional bias toward negative stimuli interferes with inhibitory control in OCD.
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Affiliation(s)
- Guzal Khayrullina
- Institute of Higher Nervous Activity and Neurophysiology RAS, Butlerova 5A, Moscow 117484, Russia; Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Myasnitskaya 20, Moscow 101000, Russia.
| | - Elizaveta Panfilova
- Institute of Higher Nervous Activity and Neurophysiology RAS, Butlerova 5A, Moscow 117484, Russia
| | - Olga Martynova
- Institute of Higher Nervous Activity and Neurophysiology RAS, Butlerova 5A, Moscow 117484, Russia; Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Myasnitskaya 20, Moscow 101000, Russia
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Melchor-Eixea I, Guarque-Chabrera J, Sanchez-Hernandez A, Ibáñez-Marín P, Pastor R, Miquel M. Putting forward a model for the role of the cerebellum in cocaine-induced pavlovian memory. Front Syst Neurosci 2023; 17:1154014. [PMID: 37388941 PMCID: PMC10303950 DOI: 10.3389/fnsys.2023.1154014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/25/2023] [Indexed: 07/01/2023] Open
Abstract
Substance Use Disorder (SUD) involves emotional, cognitive, and motivational dysfunction. Long-lasting molecular and structural changes in brain regions functionally and anatomically linked to the cerebellum, such as the prefrontal cortex, amygdala, hippocampus, basal ganglia, and ventral tegmental area, are characteristic of SUD. Direct and indirect reciprocal connectivity between the cerebellum and these brain regions can explain cerebellar roles in Pavlovian and reinforcement learning, fear memory, and executive functions. It is increasingly clear that the cerebellum modulates brain functions altered in SUD and other neuropsychiatric disorders that exhibit comorbidity with SUD. In the present manuscript, we review and discuss this evidence and present new research exploring the role of the cerebellum in cocaine-induced conditioned memory using chemogenetic tools (designer receptor exclusively activated by designer drug, DREADDs). Our preliminary data showed that inactivation of a region that includes the interposed and lateral deep cerebellar nuclei reduces the facilitating effect of a posterior vermis lesion on cocaine-induced preference conditioning. These findings support our previous research and suggest that posterior vermis damage may increase drug impact on the addiction circuitry by regulating activity in the DCN. However, they raise further questions that will also be discussed.
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Tang W, Shen T, Huang Y, Zhu W, You S, Zhu C, Zhang L, Ma J, Wang Y, Zhao J, Li T, Lai HY. Exploring structural and functional alterations in drug-naïve obsessive-compulsive disorder patients: An ultrahigh field multimodal MRI study. Asian J Psychiatr 2023; 81:103431. [PMID: 36610205 DOI: 10.1016/j.ajp.2022.103431] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 12/08/2022] [Accepted: 12/26/2022] [Indexed: 12/28/2022]
Abstract
BACKGROUND Brain structural and functional alterations have been reported in obsessive-compulsive disorder (OCD) patients; however, these findings were inconsistent across studies due to several limitations, including small sample sizes, different inclusion/exclusion criteria, varied demographic characteristics and symptom dimensions, comorbidity, and medication status. Prominent and replicable neuroimaging biomarkers remain to be discovered. METHODS This study explored the gray matter structure, neural activity, and white matter microstructure differences in 40 drug-naïve OCD patients and 57 matched healthy controls using ultrahigh field 7.0 T multimodal magnetic resonance imaging, which increased the spatial resolution and detection power. We also evaluated correlations among different modalities, imaging features and clinical symptoms. RESULTS Drug-naïve OCD patients exhibited significantly increased gray matter volume in the frontal cortex, especially in the orbitofrontal cortex, as well as volumetric reduction in the temporal lobe, occipital lobe and cerebellum. Increased neural activities were observed in the cingulate gyri and precuneus. Increased temporal-middle cingulate and posterior cingulate-precuneus functional connectivities and decreased frontal-middle cingulate connectivity were further detected. Decreased fractional anisotropy values were found in the cingulum-hippocampus gyrus and inferior fronto-occipital fascicle in OCD patients. Moreover, significantly altered imaging features were related to OCD symptom severity. Altered functional and structural neural connectivity might influence compulsive and obsessive features, respectively. CONCLUSIONS Altered structure and function of the classical cortico-striato-thalamo-cortical circuit, limbic system, default mode network, visual, language and sensorimotor networks play important roles in the neurophysiology of OCD.
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Affiliation(s)
- Wenxin Tang
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ting Shen
- Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Yueqi Huang
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wenjing Zhu
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shujun You
- School of History, Zhejiang University, Hangzhou, China
| | - Cheng Zhu
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Luyue Zhang
- Zhejiang University School of Medicine, Hangzhou, China
| | - Jiehua Ma
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yiquan Wang
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingping Zhao
- Department of Psychiatry and Mental Health Institute, The Second Xiangya Hospital of The Central South University, Changsha, Hunan, China
| | - Tao Li
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China; Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
| | - Hsin-Yi Lai
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China; Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China; College of Biomedical Engineering and Instrument Science, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China; MOE Frontier Science Center for Brain Science and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China.
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13
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Kurhan F, Zuhal Kamış G, Hakan Alp H, Füsun Akyüz Çim E, Atlı A. A Cross-Sectional Measurement of Endogenous Oxidative Stress Marker Levels in Obsessive Compulsive Disorder. PSYCHIAT CLIN PSYCH 2022; 32:215-221. [PMID: 38766666 PMCID: PMC11099616 DOI: 10.5152/pcp.2022.21318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 06/22/2022] [Indexed: 05/22/2024] Open
Abstract
Background There is a correlation between the increase in reactive oxygen radicals and the presence of specific mental illnesses. In this context, the objective of this study is to investigate the relationship between obsessive-compulsive disorder and the variations in the levels of several endogenous oxidative stress markers. Methods Thirty obsessive-compulsive disorder patients were included in the study as the patient group, and 30 healthy volunteers of matching demographic characteristics were included in the study as the control group. Accordingly, the patient group consisted of 10 females and 20 males with a mean age of 29.5 ± 6.1 years, and the control group consisted of 15 females and 15 males with a mean age of 31.9±5.6 years. The serum nicotinamide adenine dinucleotide phosphate oxidase-2, nicotinamide adenine dinucleotide phosphate oxidase-4, and malondialdehyde levels of the 2 groups were compared using the independent samples t-test. The relationships between the serum nicotinamide adenine dinucleotide phosphate oxidase-2, nicotinamide adenine dinucleotide phosphate oxidase-4, and malondialdehyde levels of the 2 groups were analyzed using the Pearson's correlation coefficient. Results The serum nicotinamide adenine dinucleotide phosphate oxidase-2, nicotinamide adenine dinucleotide phosphate oxidase-4, and malondialdehyde levels of the patient group were statistically significantly higher than those of the control group (P < .001). Statistically significant positive correlations were detected between the serum nicotinamide adenine dinucleotide phosphate oxidase-2 and nicotinamide adenine dinucleotide phosphate oxidase-4 levels (r = 0.692, P = .001) and between the serum nicotinamide adenine dinucleotide phosphate oxidase-2 and malondialdehyde levels (r = 0.563, P = .001). Conclusion The results of this study indicated that oxidative stress and lipid peroxidation levels were higher in obsessive-compulsive disorder patients. Based on this finding, NOX-2 and NOX-4 levels can be used as indicators of endogenous oxidative stress in obsessive-compulsive disorder patients.
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Affiliation(s)
- Faruk Kurhan
- Department of Pyschiatry, Van Yüzüncü Yıl University, School of Medicine, Van, Turkey
| | | | - Hamit Hakan Alp
- Department of Medicine Biochemistry, Van Yüzüncü Yıl University, Van, Turkey
| | | | - Abdullah Atlı
- Department of Psychiatry, Dicle University, School of Medicine, Diyarbakır, Turkey
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14
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Della Vecchia A, Marazziti D. Back to the Future: The Role of Infections in Psychopathology. Focus on OCD. CLINICAL NEUROPSYCHIATRY 2022; 19:248-263. [PMID: 36101642 PMCID: PMC9442856 DOI: 10.36131/cnfioritieditore20220407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
OBJECTIVE Recently, there has been a resurgence of interest in the relationship between infections and psychopathology, given the increasing data on the neurotropism and neurological/psychiatric morbidity of the SARS-COV2 virus, responsible for the current worldwide pandemic. Although the majority of observations were those obtained in mood and schizophrenic disorders, a few data are also available on the presence of bacterial or viral infections in patients suffering from obsessive-compulsive disorder (OCD). Therefore, given the limited information, the present paper aimed at reviewing the most updated evidence of infections in neuropsychiatric disorders and their possible mechanisms of actions, with a narrow focus on microbes in OCD. METHOD This paper is a narrative review. The databases of PubMed, Scopus, Embase, PsycINFO and Google Scholar were accessed to research and collect English language papers published between 1 January 1980 and 31 December 2021. The data on PANDAS/PANS and those observed during severe brain infections were excluded. RESULTS Several pathogens have been associated with an increased risk to develop a broad spectrum of neuropsychiatric conditions, such as schizophrenia, mood disorders, autism, attention-deficit/hyperactivity disorder, anorexia nervosa, and post-traumatic stress disorder. Some evidence supported a possible role of infections also in the pathophysiology of OCD. Infections from Herpes simplex virus 1, Borna disease virus, Group A-Beta Hemolytic Streptococcus, Borrelia spp., and Toxoplasma gondii were actually found in patients with OCD. Although different mechanisms have been hypothesized, all would converge to trigger functional/structural alterations of specific circuits or immune processes, with cascade dysfunctions of several other systems. CONCLUSIONS Based on the current evidence, a possible contribution of different types of microbes has been proposed for different neuropsychiatric disorders including OCD. However, the currently available literature is meager and heterogeneous in terms of sample characteristics and methods used. Therefore, further studies are needed to better understand the impact of infectious agents in neuropsychiatric disorders. Our opinion is that deeper insights in this field might contribute to a better definition of biological underpinnings of specific clinical pictures, as well as to promote psychiatric precision medicine, with treatments based on altered pathological pathways of single patients. This might be particularly relevant in OCD, a disorder with a high proportion of patients who are resistant or do not respond to conventional therapeutic strategies.
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Affiliation(s)
- Alessandra Della Vecchia
- Section of Psychiatry, Department of Clinical and Experimental Medicine, University of Pisa, and
| | - Donatella Marazziti
- Section of Psychiatry, Department of Clinical and Experimental Medicine, University of Pisa, and, Saint Camillus International University of Health and Medical Sciences – UniCamillus, Rome, Italy
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15
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Erdoğan SB, Yükselen G. Four-Class Classification of Neuropsychiatric Disorders by Use of Functional Near-Infrared Spectroscopy Derived Biomarkers. SENSORS (BASEL, SWITZERLAND) 2022; 22:5407. [PMID: 35891088 PMCID: PMC9322944 DOI: 10.3390/s22145407] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/20/2022] [Accepted: 06/22/2022] [Indexed: 06/15/2023]
Abstract
Diagnosis of most neuropsychiatric disorders relies on subjective measures, which makes the reliability of final clinical decisions questionable. The aim of this study was to propose a machine learning-based classification approach for objective diagnosis of three disorders of neuropsychiatric or neurological origin with functional near-infrared spectroscopy (fNIRS) derived biomarkers. Thirteen healthy adolescents and sixty-seven patients who were clinically diagnosed with migraine, obsessive compulsive disorder, or schizophrenia performed a Stroop task, while prefrontal cortex hemodynamics were monitored with fNIRS. Hemodynamic and cognitive features were extracted for training three supervised learning algorithms (naïve bayes (NB), linear discriminant analysis (LDA), and support vector machines (SVM)). The performance of each algorithm in correctly predicting the class of each participant across the four classes was tested with ten runs of a ten-fold cross-validation procedure. All algorithms achieved four-class classification performances with accuracies above 81% and specificities above 94%. SVM had the highest performance in terms of accuracy (85.1 ± 1.77%), sensitivity (84 ± 1.7%), specificity (95 ± 0.5%), precision (86 ± 1.6%), and F1-score (85 ± 1.7%). fNIRS-derived features have no subjective report bias when used for automated classification purposes. The presented methodology might have significant potential for assisting in the objective diagnosis of neuropsychiatric disorders associated with frontal lobe dysfunction.
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16
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Brain activation alterations with adjunctive deep transcranial magnetic stimulation in obsessive-compulsive disorder: an fMRI study. CNS Spectr 2022; 28:361-366. [PMID: 35535486 DOI: 10.1017/s1092852922000803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is one of the most common neuropsychiatric disorders with lifetime prevalence higher than that of schizophrenia and bipolar disorders. Inadequate response to available pharmacological and psychotherapeutic interventions is common in OCD. Adjunctive brain stimulation methods to address the inadequate treatment response in OCD have found a special interest in research. This study aimed to examine the efficacy of adjunctive deep transcranial magnetic stimulation (dTMS) in ameliorating the symptoms of OCD and the effect of dTMS on activation of brain regions while performing the Stroop task using functional magnetic resonance imaging (fMRI). METHODS A total of 41 patients were assessed for the study out of which 15 OCD patients received 10 sessions of high-frequency dTMS using the H7 coil to target the anterior cingulate cortex and the medial prefrontal cortex over a period of 2 weeks. The Yale-Brown Obsessive-Compulsive Scale, the Hamilton Anxiety Rating Scale, and the Hamilton Depression Rating Scale were used for the pre- and post-stimulation clinical assessment. fMRI was used to measure the activation of brain regions while performing the Stroop task. RESULTS There was a significant improvement in the obsessive-compulsive, anxiety, and depressive symptoms after the 2 weeks of the dTMS treatment. A significant decrease in the activation of left caudate nucleus and adjacent white matter was noted while performing the Stroop task after the dTMS treatment. CONCLUSION The study provides preliminary evidence for functional correlates of effectiveness of dTMS as an adjunctive treatment modality for OCD.
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17
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Pavel DG, Henderson TA, DeBruin S. The Legacy of the TTASAAN Report-Premature Conclusions and Forgotten Promises: A Review of Policy and Practice Part I. Front Neurol 2022; 12:749579. [PMID: 35450131 PMCID: PMC9017602 DOI: 10.3389/fneur.2021.749579] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 12/14/2021] [Indexed: 12/20/2022] Open
Abstract
Brain perfusion single photon emission computed tomography (SPECT) scans were initially developed in 1970's. A key radiopharmaceutical, hexamethylpropyleneamine oxime (HMPAO), was originally approved in 1988, but was unstable. As a result, the quality of SPECT images varied greatly based on technique until 1993, when a method of stabilizing HMPAO was developed. In addition, most SPECT perfusion studies pre-1996 were performed on single-head gamma cameras. In 1996, the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology (TTASAAN) issued a report regarding the use of SPECT in the evaluation of neurological disorders. Although the TTASAAN report was published in January 1996, it was approved for publication in October 1994. Consequently, the reported brain SPECT studies relied upon to derive the conclusions of the TTASAAN report largely pre-date the introduction of stabilized HMPAO. While only 12% of the studies on traumatic brain injury (TBI) in the TTASAAN report utilized stable tracers and multi-head cameras, 69 subsequent studies with more than 23,000 subjects describe the utility of perfusion SPECT scans in the evaluation of TBI. Similarly, dementia SPECT imaging has improved. Modern SPECT utilizing multi-headed gamma cameras and quantitative analysis has a sensitivity of 86% and a specificity of 89% for the diagnosis of mild to moderate Alzheimer's disease-comparable to fluorodeoxyglucose positron emission tomography. Advances also have occurred in seizure neuroimaging. Lastly, developments in SPECT imaging of neurotoxicity and neuropsychiatric disorders have been striking. At the 25-year anniversary of the publication of the TTASAAN report, it is time to re-examine the utility of perfusion SPECT brain imaging. Herein, we review studies cited by the TTASAAN report vs. current brain SPECT imaging research literature for the major indications addressed in the report, as well as for emerging indications. In Part II, we elaborate technical aspects of SPECT neuroimaging and discuss scan interpretation for the clinician.
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Affiliation(s)
- Dan G Pavel
- Pathfinder Brain SPECT Imaging, Deerfield, IL, United States.,The International Society of Applied Neuroimaging (ISAN), Denver, CO, United States
| | - Theodore A Henderson
- The International Society of Applied Neuroimaging (ISAN), Denver, CO, United States.,The Synaptic Space, Inc., Denver, CO, United States.,Neuro-Luminance, Inc., Denver, CO, United States.,Dr. Theodore Henderson, Inc., Denver, CO, United States
| | - Simon DeBruin
- The International Society of Applied Neuroimaging (ISAN), Denver, CO, United States.,Good Lion Imaging, Columbia, SC, United States
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18
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Han S, Xu Y, Guo H, Fang K, Wei Y, Liu L, Cheng J, Zhang Y, Cheng J. Two distinct subtypes of obsessive compulsive disorder revealed by heterogeneity through discriminative analysis. Hum Brain Mapp 2022; 43:3037-3046. [PMID: 35384125 PMCID: PMC9188970 DOI: 10.1002/hbm.25833] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/18/2022] [Accepted: 02/21/2022] [Indexed: 01/31/2023] Open
Abstract
Neurobiological heterogeneity in obsessive compulsive disorder (OCD) is understudied leading to conflicting neuroimaging findings. Therefore, we investigated objective neuroanatomical subtypes of OCD by adopting a newly proposed method based on gray matter volumes (GMVs). GMVs were derived from T1‐weighted anatomical images of patients with OCD (n = 100) and matched healthy controls (HCs; n = 106). We first inquired whether patients with OCD presented higher interindividual variability HCs in terms of GMVs. Then, we identified distinct subtypes of OCD by adopting heterogeneity through discriminative analysis (HYDRA), where regional GMVs were treated as features. Patients with OCD presented higher interindividual variability than HCs, suggesting a high structural heterogeneity of OCD. HYDRA identified two distinct robust subtypes of OCD presenting opposite neuroanatomical aberrances compared with HCs, while sharing indistinguishable clinical and demographic features. Specifically, Subtype 1 exhibited widespread increased GMVs in cortical and subcortical regions, including the orbitofrontal gyrus, right anterior insula, bilateral hippocampus, and bilateral parahippocampus and cerebellum. Subtype 2 demonstrated overall decreased GMVs in regions such as the orbitofrontal gyrus, right anterior insula, and precuneus. When mixed together, none of patients presented significant differences compared with HCs. In addition, the total intracranial volume of Subtype 2 was significantly correlated with the total score of the Yale–Brown Obsessive Compulsive Scale while that of Subtype 1 was not. These results identified two distinct neuroanatomical subtypes, providing a possible explanation for conflicting neuroimaging findings, and proposed a potential objective taxonomy contributing to precise clinical diagnosis and treatment in OCD.
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Gupta R, Mehan S, Sethi P, Prajapati A, Alshammari A, Alharbi M, Al-Mazroua HA, Narula AS. Smo-Shh Agonist Purmorphamine Prevents Neurobehavioral and Neurochemical Defects in 8-OH-DPAT-Induced Experimental Model of Obsessive-Compulsive Disorder. Brain Sci 2022; 12:brainsci12030342. [PMID: 35326298 PMCID: PMC8946713 DOI: 10.3390/brainsci12030342] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 02/25/2022] [Accepted: 03/01/2022] [Indexed: 02/01/2023] Open
Abstract
Obsessive-compulsive disorder is a mental disorder characterized by repetitive, unwanted thoughts and behavior due to abnormal neuronal corticostriatal-thalamocortical pathway and other neurochemical changes. Purmorphamine is a smoothened-sonic-hedgehog agonist that has a protective effect against many neurological diseases due to its role in maintaining functional connectivity during CNS development and its anti-inflammatory and antioxidant properties. As part of our current research, we investigated the neuroprotective effects of PUR against behavioral and neurochemical changes in 8-hydroxy-2-(di-n-propylamino)-tetralin-induced obsessive-compulsive disorder in rats. Additionally, the effect of PUR was compared with the standard drug for OCD, i.e., fluvoxamine. The intra-dorsal raphe-nucleus injection of 8-OH-DPAT in rats for seven days significantly showed OCD-like repetitive and compulsive behavior along with increased oxidative stress, inflammation, apoptosis, as well as neurotransmitter imbalance. These alterations were dose-dependently attenuated by long-term purmorphamine treatment at 5 mg/kg and 10 mg/kg i.p. In this study, we assessed the level of various neurochemical parameters in different biological samples, including brain homogenate, blood plasma, and CSF, to check the drug’s effect centrally and peripherally. These effects were comparable to the standard oral treatment withfluvoxamine at 10 mg/kg. However, when fluvoxamine was given in combination with purmorphamine, there was a more significant restoration of these alterations than the individualtreatmentswithfluvoxamine and purmorphamine. All the above findings demonstrate that the neuroprotective effect of purmorphamine in OCD can be strong evidence for developing a new therapeutic target for treating and managing OCD.
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Affiliation(s)
- Ria Gupta
- Neuropharmacology Division, Department of Pharmacology, ISF College of Pharmacy, Moga 142001, Punjab, India; (R.G.); (P.S.); (A.P.)
| | - Sidharth Mehan
- Neuropharmacology Division, Department of Pharmacology, ISF College of Pharmacy, Moga 142001, Punjab, India; (R.G.); (P.S.); (A.P.)
- Correspondence:
| | - Pranshul Sethi
- Neuropharmacology Division, Department of Pharmacology, ISF College of Pharmacy, Moga 142001, Punjab, India; (R.G.); (P.S.); (A.P.)
| | - Aradhana Prajapati
- Neuropharmacology Division, Department of Pharmacology, ISF College of Pharmacy, Moga 142001, Punjab, India; (R.G.); (P.S.); (A.P.)
| | - Abdulrahman Alshammari
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia; (A.A.); (M.A.); (H.A.A.-M.)
| | - Metab Alharbi
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia; (A.A.); (M.A.); (H.A.A.-M.)
| | - Haneen A. Al-Mazroua
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia; (A.A.); (M.A.); (H.A.A.-M.)
| | - Acharan S. Narula
- Narula Research, LLC, 107 Boulder Bluff, Chapel Hill, NC 27516, USA;
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Salminen LE, Tubi MA, Bright J, Thomopoulos SI, Wieand A, Thompson PM. Sex is a defining feature of neuroimaging phenotypes in major brain disorders. Hum Brain Mapp 2022; 43:500-542. [PMID: 33949018 PMCID: PMC8805690 DOI: 10.1002/hbm.25438] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 03/22/2021] [Accepted: 03/23/2021] [Indexed: 12/12/2022] Open
Abstract
Sex is a biological variable that contributes to individual variability in brain structure and behavior. Neuroimaging studies of population-based samples have identified normative differences in brain structure between males and females, many of which are exacerbated in psychiatric and neurological conditions. Still, sex differences in MRI outcomes are understudied, particularly in clinical samples with known sex differences in disease risk, prevalence, and expression of clinical symptoms. Here we review the existing literature on sex differences in adult brain structure in normative samples and in 14 distinct psychiatric and neurological disorders. We discuss commonalities and sources of variance in study designs, analysis procedures, disease subtype effects, and the impact of these factors on MRI interpretation. Lastly, we identify key problems in the neuroimaging literature on sex differences and offer potential recommendations to address current barriers and optimize rigor and reproducibility. In particular, we emphasize the importance of large-scale neuroimaging initiatives such as the Enhancing NeuroImaging Genetics through Meta-Analyses consortium, the UK Biobank, Human Connectome Project, and others to provide unprecedented power to evaluate sex-specific phenotypes in major brain diseases.
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Affiliation(s)
- Lauren E. Salminen
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Meral A. Tubi
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Joanna Bright
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Sophia I. Thomopoulos
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Alyssa Wieand
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Paul M. Thompson
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
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21
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Luo Q, Liu W, Jin L, Chang C, Peng Z. Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images. Front Neuroinform 2021; 15:676491. [PMID: 34744676 PMCID: PMC8564498 DOI: 10.3389/fninf.2021.676491] [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: 03/05/2021] [Accepted: 09/13/2021] [Indexed: 11/13/2022] Open
Abstract
Both the Pearson correlation and partial correlation methods have been widely used in the resting-state functional MRI (rs-fMRI) studies. However, they can only measure linear relationship, although partial correlation excludes some indirect effects. Recent distance correlation can discover both the linear and non-linear dependencies. Our goal was to use the multivariate pattern analysis to compare the ability of such three correlation methods to distinguish between the patients with obsessive-compulsive disorder (OCD) and healthy control subjects (HCSs), so as to find optimal correlation method. The main process includes four steps. First, the regions of interest are defined by automated anatomical labeling (AAL). Second, functional connectivity (FC) matrices are constructed by the three correlation methods. Third, the best discriminative features are selected by support vector machine recursive feature elimination (SVM-RFE) with a stratified N-fold cross-validation strategy. Finally, these discriminative features are used to train a classifier. We had a total of 128 subjects out of which 61 subjects had OCD and 67 subjects were normal. All the three correlation methods with SVM have achieved good results, among which distance correlation is the best [accuracy = 93.01%, specificity = 89.71%, sensitivity = 95.08%, and area under the receiver-operating characteristic curve (AUC) = 0.94], followed by Pearson correlation and partial correlation is the last. The most discriminative regions of the brain for distance correlation are right dorsolateral superior frontal gyrus, orbital part of left superior frontal gyrus, orbital part of right middle frontal gyrus, right anterior cingulate and paracingulate gyri, left the supplementary motor area, and right precuneus, which are the promising biomarkers of OCD.
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Affiliation(s)
- Qian Luo
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.,Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China.,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China
| | - Weixiang Liu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.,Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China.,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China
| | - Lili Jin
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
| | - Chunqi Chang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.,Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China.,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China.,Peng Cheng Laboratory, Shenzhen, China
| | - Ziwen Peng
- Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China.,Department of Child Psychiatry, Shenzhen Kangning Hospital, Shenzhen University School of Medicine, Shenzhen, China
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22
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Kabukçu Başay B, Başay Ö, Tanriverdi Ç, Tunç-Ata M, Aydin SÜ. Elevated serum S100B levels in medication naïve children and adolescents with obsessive-compulsive disorder. Nord J Psychiatry 2021; 75:502-508. [PMID: 33752558 DOI: 10.1080/08039488.2021.1895309] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
PURPOSE Obsessive-compulsive disorder (OCD) is a condition characterized by obsessions and/or compulsions. S100B protein is shown to be involved in microglial activation besides intracellular signaling, intercellular communication and cell growth. The relation between S100B protein and various psychiatric disorders except OCD has been studied so far. This study aimed to analyze serum S100B levels for the first time in medication naive OCD diagnosed children and adolescents and to compare them with the control group. MATERIALS AND METHODS Peripheral blood S100B levels of 27 children and adolescents with OCD were compared to 27 control group subjects to assess any possible association between OCD and S100B levels. All the children and adolescents completed the child version of the Obsessive-Compulsive Inventory (OCI - CV). RESULTS Compared to control group, higher serum S100B levels were found in OCD group (z = -2.258, p = 0.024). We also found that obsessing and washing subscales' scores and total score of OCI - CV were statistically significantly correlated with S100B levels (respectively, r = .292, p = 0.032; r = .306, p = 0.025; r = .296, p = 0.030). CONCLUSIONS The present study's findings are in accord with previous studies demonstrating the significance of S100B protein in other psychiatric disorders and suggesting a relation in children and adolescents with OCD for the first time. The role of S100B protein in OCD etiology and pathogenesis should be evaluated further.
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Affiliation(s)
- Bürge Kabukçu Başay
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Pamukkale University, Denizli, Turkey
| | - Ömer Başay
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Pamukkale University, Denizli, Turkey
| | - Çiğdem Tanriverdi
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Pamukkale University, Denizli, Turkey
| | - Melek Tunç-Ata
- Department of Physiology, Faculty of Medicine, Pamukkale University, Denizli, Turkey
| | - Sezai Üstün Aydin
- Department of Child and Adolescent Psychiatry, Denizli State Hospital, Denizli, Turkey
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Aglamiş S, Murat Aydın A, Eroglu Y, Burakgazi G, Atmaca M. Diffusion-Weighted MRI Findings of Caudate Nucleus and Putamen in Patients With Obsessive-Compulsive Disorder. Cureus 2021; 13:e17023. [PMID: 34522504 PMCID: PMC8425491 DOI: 10.7759/cureus.17023] [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] [Accepted: 08/09/2021] [Indexed: 11/05/2022] Open
Abstract
Objective The purpose of this study was to establish the diffusion-weighted magnetic resonance imaging (DW-MRI) findings of the caudate nucleus and putamen in patients with obsessive-compulsive disorder (OCD) and to obtain new information on the etiopathogenesis of OCD, which is still unclear. Methods The study comprised 20 patients with OCDs and 20 healthy volunteers. In these cases, DW-MRI and diffusion-weighted echo-planar images (DW-EPI) at b600 and b1000 gradient values were taken and the measurements were made using the apparent diffusion coefficient (ADC) maps of each group at b600 and b1000 values from the caudate nucleus and putamen. Results When the DW-MRI examination in patients with OCD was compared with the control group, the mean ADC values in the caudate nucleus and putamen were not found to have statistically significantly changed. In addition, there were no significant differences regarding the right and left caudate nuclei and putamen ADC values at the b600 and b1000 in the patients with OCD or the control group. Conclusion There are still many unknowns about the neurobiology of OCD. When the DW-MRI examination of the patients with OCD was compared with the control group in our study, no significant difference was found between the ADC values of the caudate nucleus and putamen. Further studies are required for this present study on DW-MRI in patients with OCD to be meaningful.
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Affiliation(s)
- Serpil Aglamiş
- Department of Radiology, Firat University School of Medicine, Elazig, TUR
| | - Ayşe Murat Aydın
- Department of Radiology, Firat University School of Medicine, Elazig, TUR
| | - Yesim Eroglu
- Department of Radiology, Firat University School of Medicine, Elazig, TUR
| | - Gülen Burakgazi
- Department of Radiology, Recep Tayyip Erdogan University School of Medicine, Rize, TUR
| | - Murad Atmaca
- Department of Psychiatry, Firat University School of Medicine, Elazig, TUR
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24
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Akın A. fNIRS-derived neurocognitive ratio as a biomarker for neuropsychiatric diseases. NEUROPHOTONICS 2021; 8:035008. [PMID: 34604439 PMCID: PMC8482313 DOI: 10.1117/1.nph.8.3.035008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 09/16/2021] [Indexed: 05/03/2023]
Abstract
Significance: Clinical use of fNIRS-derived features has always suffered low sensitivity and specificity due to signal contamination from background systemic physiological fluctuations. We provide an algorithm to extract cognition-related features by eliminating the effect of background signal contamination, hence improving the classification accuracy. Aim: The aim in this study is to investigate the classification accuracy of an fNIRS-derived biomarker based on global efficiency (GE). To this end, fNIRS data were collected during a computerized Stroop task from healthy controls and patients with migraine, obsessive compulsive disorder, and schizophrenia. Approach: Functional connectivity (FC) maps were computed from [HbO] time series data for neutral (N), congruent (C), and incongruent (I) stimuli using the partial correlation approach. Reconstruction of FC matrices with optimal choice of principal components yielded two independent networks: cognitive mode network (CM) and default mode network (DM). Results: GE values computed for each FC matrix after applying principal component analysis (PCA) yielded strong statistical significance leading to a higher specificity and accuracy. A new index, neurocognitive ratio (NCR), was computed by multiplying the cognitive quotients (CQ) and ratio of GE of CM to GE of DM. When mean values of NCR ( N C R ¯ ) over all stimuli were computed, they showed high sensitivity (100%), specificity (95.5%), and accuracy (96.3%) for all subjects groups. Conclusions: N C R ¯ can reliable be used as a biomarker to improve the classification of healthy to neuropsychiatric patients.
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Affiliation(s)
- Ata Akın
- Acibadem University, Department of Medical Engineering, Ataşehir, Istanbul, Turkey
- Address all correspondence to Ata Akn,
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25
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Maziero MP, Seitz-Holland J, Cho KIK, Goldenberg JE, Tanamatis TW, Diniz JB, Cappi C, Alice de Mathis M, Otaduy MCG, da Graça Morais Martin M, de Melo Felipe da Silva R, Shavitt RG, Batistuzzo MC, Lopes AC, Miguel EC, Pasternak O, Hoexter MQ. Cellular and Extracellular White Matter Abnormalities in Obsessive-Compulsive Disorder: A Diffusion Magnetic Resonance Imaging Study. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:983-991. [PMID: 33862255 DOI: 10.1016/j.bpsc.2021.04.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 03/17/2021] [Accepted: 04/02/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND While previous studies have implicated white matter (WM) as a core pathology of obsessive-compulsive disorder (OCD), the underlying neurobiological processes remain elusive. This study used free-water (FW) imaging derived from diffusion magnetic resonance imaging to identify cellular and extracellular WM abnormalities in patients with OCD compared with control subjects. Next, we investigated the association between diffusion measures and clinical variables in patients. METHODS We collected diffusion-weighted magnetic resonance imaging and clinical data from 83 patients with OCD (56 women/27 men, age 37.7 ± 10.6 years) and 52 control subjects (27 women/25 men, age 32.8 ± 11.5 years). Fractional anisotropy (FA), FA of cellular tissue, and extracellular FW maps were extracted and compared between patients and control subjects using tract-based spatial statistics and voxelwise comparison in FSL Randomise. Next, we correlated these WM measures with clinical variables (age of onset and symptom severity) and compared them between patients with and without comorbidities and patients with and without psychiatric medication. RESULTS Patients with OCD demonstrated lower FA (43.4% of the WM skeleton), lower FA of cellular tissue (31% of the WM skeleton), and higher FW (22.5% of the WM skeleton) compared with control subjects. We did not observe significant correlations between diffusion measures and clinical variables. Comorbidities and medication status did not influence diffusion measures. CONCLUSIONS Our findings of widespread FA, FA of cellular tissue, and FW abnormalities suggest that OCD is associated with microstructural cellular and extracellular abnormalities beyond the corticostriatothalamocortical circuits. Future multimodal longitudinal studies are needed to understand better the influence of essential clinical variables across the illness trajectory.
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Affiliation(s)
- Maria Paula Maziero
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil; Faculty of Medicine, City University of São Paulo, São Paulo, Brazil.
| | - Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Kang Ik K Cho
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Joshua E Goldenberg
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Taís W Tanamatis
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Juliana B Diniz
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Carolina Cappi
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Maria Alice de Mathis
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Maria C G Otaduy
- Laboratório de Investigações Médicas 44, Instituto de Radiologia, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Maria da Graça Morais Martin
- Laboratório de Investigações Médicas 44, Instituto de Radiologia, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Renata de Melo Felipe da Silva
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Roseli G Shavitt
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Marcelo C Batistuzzo
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil; Department of Methods and Techniques in Psychology, Humanities and Health Sciences School, Pontifical Catholic University of São Paulo, São Paulo, Brazil
| | - Antonio C Lopes
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Eurípedes C Miguel
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Marcelo Q Hoexter
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
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26
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Nicolini H, Martínez-Magaña JJ, Genis-Mendoza AD, Villatoro Velázquez JA, Camarena B, Fleiz Bautista C, Bustos-Gamiño M, Aguilar García A, Lanzagorta N, Medina-Mora ME. Cannabis Use in People With Obsessive-Compulsive Symptomatology: Results From a Mexican Epidemiological Sample. Front Psychiatry 2021; 12:664228. [PMID: 34040556 PMCID: PMC8141625 DOI: 10.3389/fpsyt.2021.664228] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 04/12/2021] [Indexed: 01/01/2023] Open
Abstract
Recent studies suggest that the endocannabinoid system could play an important role in the physiopathology of obsessive-compulsive disorder (OCD). There are reports of effective treatment with derivatives of tetrahydrocannabinol (THC). The study of the genetic factor associated with psychiatric disorders has made possible an exploration of its contribution to the pharmacological response. However, very little is known about the genetic factor or the prevalence of cannabis use in the Mexican population with OCD. The objective of this study is to compare the prevalence of use and dependence on cannabis in individuals with obsessive-compulsive symptomatology (OCS) with that of individuals with other psychiatric symptoms (psychosis, depression, and anxiety), and to explore the association between genetic risk and use. The study includes a total of 13,130 individuals evaluated in the second stage of the 2016 National Survey of Drug, Alcohol, and Tobacco Use (Encodat 2016), with genetic analysis (polygenic risk scoring) of a subsample of 3,521 individuals. Obsessive symptomatology had a prevalence of 7.2% and compulsive symptomatology a prevalence of 8.6%. The proportion of individuals with OCS who had ever used cannabis was 23.4%, and of those with cannabis dependency was 2.7%, the latter figure higher than that in individuals with other psychiatric symptoms (hypomania, 2.6%; anxiety, 2.8%; depression, 2.3%), except psychosis (5.9%). Individuals with OCS who reported using cannabis had an increased genetic risk for cannabis dependence but not for OCD. We thus cannot know how the increased genetic risk of cannabis dependence in people with OCD is influenced by their pharmacological response to derivatives of THC. The results, however, suggest paths for future studies.
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Affiliation(s)
- Humberto Nicolini
- Genomics Laboratory of Psychiatric and Neurodegenerative Diseases, National Institute of Genomic Medicine, Mexico City, Mexico
| | - José Jaime Martínez-Magaña
- Genomics Laboratory of Psychiatric and Neurodegenerative Diseases, National Institute of Genomic Medicine, Mexico City, Mexico
| | - Alma Delia Genis-Mendoza
- Genomics Laboratory of Psychiatric and Neurodegenerative Diseases, National Institute of Genomic Medicine, Mexico City, Mexico.,Juan N. Navarro Children's Psychiatric Hospital, Psychiatric Care Services, Mexico City, Mexico
| | - Jorge Ameth Villatoro Velázquez
- Data Analysis and Survey Unit, Ramón de la Fuente Muñiz National Institute of Psychiatry, Mexico City, Mexico.,Global Studies Seminar, Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | - Beatriz Camarena
- Department of Pharmacogenetics, Ramón de la Fuente Muñiz National Institute of Psychiatry, Mexico City, Mexico
| | - Clara Fleiz Bautista
- Data Analysis and Survey Unit, Ramón de la Fuente Muñiz National Institute of Psychiatry, Mexico City, Mexico.,Global Studies Seminar, Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | - Marycarmen Bustos-Gamiño
- Data Analysis and Survey Unit, Ramón de la Fuente Muñiz National Institute of Psychiatry, Mexico City, Mexico
| | - Alejandro Aguilar García
- Department of Pharmacogenetics, Ramón de la Fuente Muñiz National Institute of Psychiatry, Mexico City, Mexico
| | | | - María Elena Medina-Mora
- Data Analysis and Survey Unit, Ramón de la Fuente Muñiz National Institute of Psychiatry, Mexico City, Mexico.,Global Studies Seminar, Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
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27
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Raggi A, Lanza G, Ferri R. A Review on P300 in Obsessive-Compulsive Disorder. Front Psychiatry 2021; 12:751215. [PMID: 34887786 PMCID: PMC8649722 DOI: 10.3389/fpsyt.2021.751215] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 11/01/2021] [Indexed: 02/05/2023] Open
Abstract
Neuropsychological studies indicate the presence of cognitive changes in patients with obsessive-compulsive disorder (OCD). Indeed, OCD may be included among the dysfunctions of the frontal lobes and their connections with the limbic system, associative cortex, and basal ganglia. P300 is a positive component of the human event-related potential (ERP); it is associated with processes of encoding, identification, and categorization constituting, as a whole, the superior cortical function of information processing. Thus, P300 explores several areas that are implicated in OCD pathophysiology. Our aim is to review all relevant studies on the P300 component of the human ERP in order to recognize any significant central nervous system (CNS) correlate of cognitive dysfunction in OCD. A PubMed-based literature search resulted in 35 articles assessing P300 in OCD and reporting neurophysiological correlates of response inhibition, cortical hyperarousal, and over-focused attention. A decreased P300 amplitude was reported in both adult and pediatric patients, with a trend toward normalization after pharmacological treatment. Source localization studies disclosed an association between P300 abnormalities and the functioning of brain regions involved in the pathophysiology of OCD. Moreover, studies converge on the evidence of neurophysiological dysfunction in the frontal areas with impairment of the normal inhibitory processes in OCD. At least some of these electrophysiological correlates might reflect the obsessive thoughts and compulsions that characterize this disorder. These findings may also support cognitive-behavioral therapy (CBT) approaches on over-focused attention and inflexibility of compulsive behaviors, which should be associated to pharmacological treatment in these patients.
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Affiliation(s)
- Alberto Raggi
- Unit of Neurology, G.B. Morgagni – L. Pierantoni Hospital, Forlì, Italy
| | - Giuseppe Lanza
- Department of Surgery and Medical-Surgical Specialties, University of Catania, Catania, Italy
- Clinical Neurophysiology Research Unit, Oasi Research Institute - Istituto di Ricerca e Cura a Cattarere Scientifico (IRCCS), Troina, Italy
- *Correspondence: Giuseppe Lanza
| | - Raffaele Ferri
- Clinical Neurophysiology Research Unit, Oasi Research Institute - Istituto di Ricerca e Cura a Cattarere Scientifico (IRCCS), Troina, Italy
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28
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Abstract
Anatomical imaging in OCD using magnetic resonance imaging (MRI) has been performed since the late 1980s. MRI research was further stimulated with the advent of automated image processing techniques such as voxel-based morphometry (VBM) and surface-based methods (e.g., FreeSurfer) which allow for detailed whole-brain data analyses. Early studies suggesting involvement of corticostriatal circuitry (particularly orbitofrontal cortex and ventral striatum) have been complemented by meta-analyses and pooled analyses indicating additional involvement of posterior brain regions, in particular parietal cortex. Recent large-scale meta-analyses from the ENIGMA consortium have revealed greater pallidum and smaller hippocampus volume in adult OCD, coupled with parietal cortical thinning. Frontal cortical thinning was only observed in medicated patients. Previous reports of symptom dimension-specific alterations were not confirmed. In paediatric OCD, thalamus enlargement has been a consistent finding. Studies investigating white matter volume (VBM) or integrity (using diffusion tensor imaging (DTI)) have shown mixed results, with recent DTI meta-analyses mainly showing involvement of posterior cortical-subcortical tracts in addition to subcortical-prefrontal connections. To which extent these abnormalities are unique to OCD or common to other psychiatric disorders is unclear, as few comparative studies have been performed. Overall, neuroanatomical alterations in OCD appear to be subtle and may vary with time, stressing the need for adequately powered longitudinal studies. Although multivariate approaches using machine learning methodologies have so far been disappointing in distinguishing individual OCD patients from healthy controls, including multimodal data in such analyses may aid in further establishing a neurobiological profile of OCD.
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Affiliation(s)
- D J Veltman
- Department of Psychiatry, Amsterdam UMC, Amsterdam, The Netherlands.
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29
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Olsen ST, Basu I, Bilge MT, Kanabar A, Boggess MJ, Rockhill AP, Gosai AK, Hahn E, Peled N, Ennis M, Shiff I, Fairbank-Haynes K, Salvi JD, Cusin C, Deckersbach T, Williams Z, Baker JT, Dougherty DD, Widge AS. Case Report of Dual-Site Neurostimulation and Chronic Recording of Cortico-Striatal Circuitry in a Patient With Treatment Refractory Obsessive Compulsive Disorder. Front Hum Neurosci 2020; 14:569973. [PMID: 33192400 PMCID: PMC7645211 DOI: 10.3389/fnhum.2020.569973] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 09/15/2020] [Indexed: 12/11/2022] Open
Abstract
Psychiatric disorders are increasingly understood as dysfunctions of hyper- or hypoconnectivity in distributed brain circuits. A prototypical example is obsessive compulsive disorder (OCD), which has been repeatedly linked to hyper-connectivity of cortico-striatal-thalamo-cortical (CSTC) loops. Deep brain stimulation (DBS) and lesions of CSTC structures have shown promise for treating both OCD and related disorders involving over-expression of automatic/habitual behaviors. Physiologically, we propose that this CSTC hyper-connectivity may be reflected in high synchrony of neural firing between loop structures, which could be measured as coherent oscillations in the local field potential (LFP). Here we report the results from the pilot patient in an Early Feasibility study (https://clinicaltrials.gov/ct2/show/NCT03184454) in which we use the Medtronic Activa PC+ S device to simultaneously record and stimulate in the supplementary motor area (SMA) and ventral capsule/ventral striatum (VC/VS). We hypothesized that frequency-mismatched stimulation should disrupt coherence and reduce compulsive symptoms. The patient reported subjective improvement in OCD symptoms and showed evidence of improved cognitive control with the addition of cortical stimulation, but these changes were not reflected in primary rating scales specific to OCD and depression, or during blinded cortical stimulation. This subjective improvement was correlated with increased SMA and VC/VS coherence in the alpha, beta, and gamma bands, signals which persisted after correcting for stimulation artifacts. We discuss the implications of this research, and propose future directions for research in network modulation in OCD and more broadly across psychiatric disorders.
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Affiliation(s)
- Sarah T. Olsen
- Department of Psychiatry, Medical School, University of Minnesota Twin Cities, Minneapolis, MN, United States
| | - Ishita Basu
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States
| | - Mustafa Taha Bilge
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States
| | - Anish Kanabar
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States
| | - Matthew J. Boggess
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States
| | - Alexander P. Rockhill
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States
| | - Aishwarya K. Gosai
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States
| | - Emily Hahn
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States
| | - Noam Peled
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - Michaela Ennis
- McLean Institute for Technology in Psychiatry and Harvard Medical School, Belmont, MA, United States
| | - Ilana Shiff
- McLean Institute for Technology in Psychiatry and Harvard Medical School, Belmont, MA, United States
| | - Katherine Fairbank-Haynes
- McLean Institute for Technology in Psychiatry and Harvard Medical School, Belmont, MA, United States
| | - Joshua D. Salvi
- McLean Institute for Technology in Psychiatry and Harvard Medical School, Belmont, MA, United States
| | - Cristina Cusin
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States
| | - Thilo Deckersbach
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States
| | - Ziv Williams
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, United States
| | - Justin T. Baker
- McLean Institute for Technology in Psychiatry and Harvard Medical School, Belmont, MA, United States
| | - Darin D. Dougherty
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States
| | - Alik S. Widge
- Department of Psychiatry, Medical School, University of Minnesota Twin Cities, Minneapolis, MN, United States
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30
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Chen T, Su H, Zhong N, Tan H, Li X, Meng Y, Duan C, Zhang C, Bao J, Xu D, Song W, Zou J, Liu T, Zhan Q, Jiang H, Zhao M. Disrupted brain network dynamics and cognitive functions in methamphetamine use disorder: insights from EEG microstates. BMC Psychiatry 2020; 20:334. [PMID: 32580716 PMCID: PMC7315471 DOI: 10.1186/s12888-020-02743-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 06/18/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Dysfunction in brain network dynamics has been found to correlate with many psychiatric disorders. However, there is limited research regarding resting electroencephalogram (EEG) brain network and its association with cognitive process for patients with methamphetamine use disorder (MUD). This study aimed at using EEG microstate analysis to determine whether brain network dynamics in patients with MUD differ from those of healthy controls (HC). METHODS A total of 55 MUD patients and 27 matched healthy controls were included for analysis. The resting brain activity was recorded by 64-channel electroencephalography. EEG microstate parameters and intracerebral current sources of each EEG microstate were compared between the two groups. Generalized linear regression model was used to explore the correlation between significant microstates with drug history and cognitive functions. RESULTS MUD patients showed lower mean durations of the microstate classes A and B, and a higher global explained variance of the microstate class C. Besides, MUD patients presented with different current density power in microstates A, B, and C relative to the HC. The generalized linear model showed that MA use frequency is negatively correlated with the MMD of class A. Further, the generalized linear model showed that MA use frequency, scores of Two-back task, and the error rate of MA word are correlated with the MMD and GEV of class B, respectively. CONCLUSIONS Intracranial current source densities of resting EEG microstates are disrupted in MUD patients, hence causing temporal changes in microstate topographies, which are correlated with attention bias and history of drug use.
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Affiliation(s)
- Tianzhen Chen
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030 China
| | - Hang Su
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030 China
| | - Na Zhong
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030 China
| | - Haoye Tan
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030 China
| | - Xiaotong Li
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030 China
| | - Yiran Meng
- Yunnan Institute on Drug Dependence, Kunming, Yunnan China
| | - Chunmei Duan
- Yunnan Institute on Drug Dependence, Kunming, Yunnan China
| | - Congbin Zhang
- Yunnan Institute on Drug Dependence, Kunming, Yunnan China
| | - Juwang Bao
- grid.28703.3e0000 0000 9040 3743Institute of Higher Education, Beijing University of Technology, Beijing, China
| | - Ding Xu
- Shanghai Bureau of Drug Rehabilitation Administration, Shanghai, China
| | - Weidong Song
- Shanghai Bureau of Drug Rehabilitation Administration, Shanghai, China
| | - Jixue Zou
- Department of Health, Yunnan Bureau of Drug Rehabilitation Administration, Kunming, Yunnan China
| | - Tao Liu
- Yunnan Third Compulsory Drug Dependence Rehablitation Center Hospital, Kunming, Yunnan China
| | - Qingqing Zhan
- Yunnan Third Compulsory Drug Dependence Rehablitation Center Hospital, Kunming, Yunnan China
| | - Haifeng Jiang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030, China. .,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.
| | - Min Zhao
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 Wan Ping Nan Road, Shanghai, 200030 China ,grid.415630.50000 0004 1782 6212Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China ,grid.16821.3c0000 0004 0368 8293Institute of Psychological and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China ,grid.9227.e0000000119573309CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Sciences, Shanghai, China
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31
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Alemany-Navarro M, Cruz R, Real E, Segalàs C, Bertolín S, Rabionet R, Carracedo Á, Menchón JM, Alonso P. Looking into the genetic bases of OCD dimensions: a pilot genome-wide association study. Transl Psychiatry 2020; 10:151. [PMID: 32424139 PMCID: PMC7235014 DOI: 10.1038/s41398-020-0804-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 03/23/2020] [Accepted: 04/08/2020] [Indexed: 12/19/2022] Open
Abstract
The multidimensional nature of obsessive-compulsive disorder (OCD) has been consistently reported. Clinical and biological characteristics have been associated with OCD dimensions in different ways. Studies suggest the existence of specific genetic bases for the different OCD dimensions. In this study, we analyze the genomic markers, genes, gene ontology and biological pathways associated with the presence of aggressive/checking, symmetry/order, contamination/cleaning, hoarding, and sexual/religious symptoms, as assessed via the Dimensional Yale-Brown Obsessive Compulsive Scale (DY-BOCS) in 399 probands. Logistic regression analyses were performed at the single-nucleotide polymorphism (SNP) level. Gene-based and enrichment analyses were carried out for common (SNPs) and rare variants. No SNP was associated with any dimension at a genome-wide level (p < 5 × 10-8). Gene-based analyses showed one gene to be associated with hoarding (SETD3, p = 1.89 × 10-08); a gene highly expressed in the brain and which plays a role in apoptotic processes and transcriptomic changes, and another gene associated with aggressive symptoms (CPE; p = 4.42 × 10-6), which is involved in neurotrophic functions and the synthesis of peptide hormones and neurotransmitters. Different pathways or biological processes were represented by genes associated with aggressive (zinc ion response and lipid metabolism), order (lipid metabolism), sexual/religious (G protein-mediated processes) and hoarding (metabolic processes and anion transport) symptoms after FDR correction; while no pathway was associated with contamination. Specific genomic bases were found for each dimension assessed, especially in the enrichment analyses. Further research with larger samples and different techniques, such as next-generation sequencing, are needed to better understand the differential genetics of OCD dimensions.
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Affiliation(s)
- María Alemany-Navarro
- Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain. .,OCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, Barcelona, Spain. .,Department of Clinical Sciences, Bellvitge Campus, University of Barcelona, Barcelona, Spain.
| | - Raquel Cruz
- grid.11794.3a0000000109410645Grupo de Medicina Xenómica, CIBERER, Centre for Research in Molecular Medicine and Chronic Diseases (CIMUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Eva Real
- grid.418284.30000 0004 0427 2257Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain ,grid.411129.e0000 0000 8836 0780OCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, Barcelona, Spain ,grid.413448.e0000 0000 9314 1427CIBERSAM (Centro de Investigación en Red de Salud Mental), Instituto de Salud Carlos III, Madrid, Spain
| | - Cinto Segalàs
- grid.418284.30000 0004 0427 2257Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain ,grid.411129.e0000 0000 8836 0780OCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, Barcelona, Spain ,grid.413448.e0000 0000 9314 1427CIBERSAM (Centro de Investigación en Red de Salud Mental), Instituto de Salud Carlos III, Madrid, Spain
| | - Sara Bertolín
- grid.411129.e0000 0000 8836 0780OCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, Barcelona, Spain
| | - Raquel Rabionet
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain ,grid.5841.80000 0004 1937 0247Institut de Biomedicina de la Universitat de Barcelona (IBUB), CIBERER, and Dept. Genetics, Microbiology & Statistics, Faculty of Biology, University of Barcelona, Barcelona, Spain
| | - Ángel Carracedo
- grid.11794.3a0000000109410645Grupo de Medicina Xenómica, CIBERER, Centre for Research in Molecular Medicine and Chronic Diseases (CIMUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain ,Fundación Pública Galega de Medicina Xenómica, SERGAS, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Jose M. Menchón
- grid.418284.30000 0004 0427 2257Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain ,grid.411129.e0000 0000 8836 0780OCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, Barcelona, Spain ,grid.5841.80000 0004 1937 0247Department of Clinical Sciences, Bellvitge Campus, University of Barcelona, Barcelona, Spain ,grid.413448.e0000 0000 9314 1427CIBERSAM (Centro de Investigación en Red de Salud Mental), Instituto de Salud Carlos III, Madrid, Spain
| | - Pino Alonso
- grid.411129.e0000 0000 8836 0780OCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, Barcelona, Spain ,grid.5841.80000 0004 1937 0247Department of Clinical Sciences, Bellvitge Campus, University of Barcelona, Barcelona, Spain ,grid.413448.e0000 0000 9314 1427CIBERSAM (Centro de Investigación en Red de Salud Mental), Instituto de Salud Carlos III, Madrid, Spain
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32
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Maleki S, Chye Y, Zhang X, Parkes L, Chamberlain SR, Fontenelle LF, Braganza L, Youssef G, Lorenzetti V, Harrison BJ, Yücel M, Suo C. Neural correlates of symptom severity in obsessive-compulsive disorder using magnetization transfer and diffusion tensor imaging. Psychiatry Res Neuroimaging 2020; 298:111046. [PMID: 32106018 PMCID: PMC7100004 DOI: 10.1016/j.pscychresns.2020.111046] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 02/02/2020] [Accepted: 02/04/2020] [Indexed: 11/18/2022]
Abstract
Recent neuroimaging studies in OCD have reported structural alterations in the brain, not limited to frontostriatal regions. While Diffusion Tensor Imaging (DTI) is typically used to interrogate WM microstructure in OCD, additional imaging metric, such as Magnetization Transfer Imaging (MTI), allows for further identification of subtle but important structural changes across both GM and WM. In this study, both MTI and DTI were utilised to investigate the structural integrity of the brain, in OCD in relation to healthy controls. 38 adult OCD patients were recruited, along with 41 age- and gender-matched controls. Structural T1, MTI and DTI data were collected. Case-control differences in Magnetization Transfer Ratio (MTR) and DTI metrics (FA, MD) were examined, along with MTR/DTI-related associations with symptom severity in patients. No significant group differences were found across MTR, FA, and MD. However, OCD symptom severity was positively correlated with MTR in a distributed network of brain regions, including the striatum, cingulate, orbitofrontal area and insula. Within the same regions, OCD symptoms were also positively correlated with FA in WM, and negatively correlated with MD in GM. These results indicate a greater degree of myelination in certain cortical and subcortical regions in the more severe cases of OCD.
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Affiliation(s)
- Suzan Maleki
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Yann Chye
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Xiaoliu Zhang
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Linden Parkes
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia; Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, USA
| | - Samuel R Chamberlain
- Department of Psychiatry, University of Cambridge, Cambridge, UK; Cambridge and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Leonardo F Fontenelle
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia; D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil; Obsessive, Compulsive, and Anxiety Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro, Brazil
| | - Leah Braganza
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - George Youssef
- Deakin University, Centre for Social and Early Emotional Development, School of Psychology, Faculty of Health, Geelong, Australia; Murdoch Children's Research Institute, Centre for Adolescent Health, Melbourne, Australia
| | - Valentina Lorenzetti
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia; School of Behavioural & Health Sciences, Faculty of Health Sciences, Australian Catholic University, Melbourne, Australia
| | - Ben J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Murat Yücel
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Chao Suo
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia.
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Jia C, Ou Y, Chen Y, Li P, Lv D, Yang R, Zhong Z, Sun L, Wang Y, Zhang G, Guo H, Sun Z, Wang W, Wang Y, Wang X, Guo W. Decreased Resting-State Interhemispheric Functional Connectivity in Medication-Free Obsessive-Compulsive Disorder. Front Psychiatry 2020; 11:559729. [PMID: 33101081 PMCID: PMC7522198 DOI: 10.3389/fpsyt.2020.559729] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 08/28/2020] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE Decreased homotopic connectivity of brain networks such as the cortico-striato-thalamo-cortical (CSTC) circuits may contribute to the pathophysiology of obsessive-compulsive disorder (OCD). However, little is known about interhemispheric functional connectivity (FC) at rest in OCD. In this study, the voxel-mirrored homotopic connectivity (VMHC) method was applied to explore interhemispheric coordination at rest in OCD. METHODS Forty medication-free patients with OCD and 38 sex-, age-, and education level-matched healthy controls (HCs) underwent a resting-state functional magnetic resonance imaging. The VMHC and support vector machine (SVM) methods were used to analyze the data. RESULTS Patients with OCD had remarkably decreased VMHC values in the orbitofrontal cortex, thalamus, middle occipital gyrus, and precentral and postcentral gyri compared with HCs. A combination of the VMHC values in the thalamus and postcentral gyrus could optimally distinguish patients with OCD from HCs. CONCLUSIONS Our findings highlight the contribution of decreased interhemispheric FC within and outside the CSTC circuits in OCD and provide evidence to the pathophysiology of OCD.
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Affiliation(s)
- Cuicui Jia
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Yangpan Ou
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yunhui Chen
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Dan Lv
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Ru Yang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Zhaoxi Zhong
- Henan Key Lab of Biological Psychiatry, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Lei Sun
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Yuhua Wang
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Guangfeng Zhang
- Department of Radiology, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China
| | - Hong Guo
- Department of Radiology, The First Hospital of Qiqihar, Qiqihar, China
| | - Zhenghai Sun
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Wei Wang
- Department of Library, Qiqihar Medical University, Qiqihar, China
| | - Yefu Wang
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Xiaoping Wang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Wenbin Guo
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
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34
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Gao J, Zhou Y, Yang X, Luo J, Meng F, Zheng D, Li Z. Abnormalities within and beyond the cortico-striato-thalamo-cortical circuitry in medication-free patients with OCD revealed by the fractional amplitude of low-frequency fluctuations and resting-state functional connectivity. Neurosci Lett 2019; 712:134449. [PMID: 31470044 DOI: 10.1016/j.neulet.2019.134449] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 07/24/2019] [Accepted: 08/21/2019] [Indexed: 12/30/2022]
Abstract
Neuroimaging studies of obsessive-compulsive disorder (OCD) often focus on the cortico-striato-thalamo-cortical (CSTC) circuitry, but recent studies have found abnormal spontaneous brain activity in regions outside the CSTC circuitry in patients with OCD using resting-state functional magnetic resonance imaging. Researchers have not clearly determined whether changes in spontaneous brain activity within and beyond the CSTC circuitry coexist in medication-free patients with OCD. To address this question, we recruited 64 medication-free patients with OCD and 60 matched healthy controls (HCs) to investigate their spontaneous brain activity by measuring the fractional amplitude of low-frequency fluctuation (fALFF) and resting-state functional connectivity. Patients with OCD showed increased fALFF values in the left dorsolateral prefrontal cortex (DLPFC) and decreased fALFF values in the right rolandic operculum compared with HCs. Furthermore, patients with OCD exhibited significantly increased functional connectivity between the left DLPFC and the left cerebellum and reduced negative functional connectivity between the right rolandic operculum and the left precuneus. These findings provided new insights into the pathophysiological model of OCD, which may include CSTC circuitry and regions outside this circuitry.
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Affiliation(s)
- Jian Gao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, PR China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, PR China
| | - Yuan Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, PR China; CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, PR China
| | - Xiangyun Yang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, PR China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, PR China
| | - Jia Luo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, PR China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, PR China
| | - Fanqiang Meng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, PR China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, PR China
| | - Dang Zheng
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, PR China
| | - Zhanjiang Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, PR China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, PR China.
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