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Hur KH, Meisler SL, Yassin W, Frederick BB, Kohut SJ. Prefrontal-Limbic Circuitry Is Associated With Reward Sensitivity in Nonhuman Primates. Biol Psychiatry 2024:S0006-3223(24)01131-4. [PMID: 38432521 DOI: 10.1016/j.biopsych.2024.02.1011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 02/23/2024] [Accepted: 02/24/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND Abnormal reward sensitivity is a risk factor for psychiatric disorders, including eating disorders such as overeating and binge-eating disorder, but the brain structural mechanisms that underlie it are not completely understood. Here, we sought to investigate the relationship between multimodal whole-brain structural features and reward sensitivity in nonhuman primates. METHODS Reward sensitivity was evaluated through behavioral economic analysis in which monkeys (adult rhesus macaques; 7 female, 5 male) responded for sweetened condensed milk (10%, 30%, 56%), Gatorade, or water using an operant procedure in which the response requirement increased incrementally across sessions (i.e., fixed ratio 1, 3, 10). Animals were divided into high (n = 6) or low (n = 6) reward sensitivity groups based on essential value for 30% milk. Multimodal magnetic resonance imaging was used to measure gray matter volume and white matter microstructure. Brain structural features were compared between groups, and their correlations with reward sensitivity for various stimuli was investigated. RESULTS Animals in the high sensitivity group had greater dorsolateral prefrontal cortex, centromedial amygdaloid complex, and middle cingulate cortex volumes than animals in the low sensitivity group. Furthermore, compared with monkeys in the low sensitivity group, high sensitivity monkeys had lower fractional anisotropy in the left dorsal cingulate bundle connecting the centromedial amygdaloid complex and middle cingulate cortex to the dorsolateral prefrontal cortex, and in the left superior longitudinal fasciculus 1 connecting the middle cingulate cortex to the dorsolateral prefrontal cortex. CONCLUSIONS These results suggest that neuroanatomical variation in prefrontal-limbic circuitry is associated with reward sensitivity. These brain structural features may serve as predictive biomarkers for vulnerability to food-based and other reward-related disorders.
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Affiliation(s)
- Kwang-Hyun Hur
- Behavioral Neuroimaging Laboratory, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Steven L Meisler
- Program in Speech and Hearing Bioscience and Technology, Harvard Medical School, Boston, Massachusetts
| | - Walid Yassin
- Behavioral Neuroimaging Laboratory, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Blaise B Frederick
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts; McLean Imaging Center, McLean Hospital, Belmont, Massachusetts
| | - Stephen J Kohut
- Behavioral Neuroimaging Laboratory, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts; McLean Imaging Center, McLean Hospital, Belmont, Massachusetts.
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2
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Kierońska-Siwak S, Sokal P, Jabłońska M, Rudaś M, Bylinka A. Structural Connectivity Reorganization Based on DTI after Cingulotomy in Obsessive-Compulsive Disorder. Brain Sci 2022; 13:brainsci13010044. [PMID: 36672026 PMCID: PMC9856478 DOI: 10.3390/brainsci13010044] [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: 11/29/2022] [Revised: 12/15/2022] [Accepted: 12/22/2022] [Indexed: 12/29/2022] Open
Abstract
Bilateral cingulotomy is a procedure applied to patients with obsessive-compulsive disorder (OCD). This report presents the structural changes occurring within the forceps minor and arcuate fascicles nerve fibers after a successful bilateral anterior cingulotomy in the patient with refractory OCD. Cingulotomy mainly affects the values of FA, MD, and ADC in the treatment of the examined nerve bundles. This structural reorganization coexists with a good clinical effect. However, it is necessary to expand the study group and to investigate the correlation between the parameters of diffusion and anisotropy and the patient's clinical condition (Y-BOCS scale).
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Affiliation(s)
- Sara Kierońska-Siwak
- Department of Neurosurgery and Neurology, Collegium Medicum, Nicolaus Copernicus University, 85-168 Bydgoszcz, Poland
- Department of Neurosurgery and Neurology, Jan Biziel University Hospital No 2, Collegium Medicum, Nicolaus Copernicus University, 85-168 Bydgoszcz, Poland
| | - Paweł Sokal
- Department of Neurosurgery and Neurology, Collegium Medicum, Nicolaus Copernicus University, 85-168 Bydgoszcz, Poland
- Department of Neurosurgery and Neurology, Jan Biziel University Hospital No 2, Collegium Medicum, Nicolaus Copernicus University, 85-168 Bydgoszcz, Poland
- Correspondence: ; Tel.: +48-600954415
| | - Magdalena Jabłońska
- Doctoral School of Medical and Health Sciences, Collegium Medicum, Nicolaus Copernicus University, 85-067 Bydgoszcz, Poland
| | - Marcin Rudaś
- Department of Neurosurgery and Neurology, Jan Biziel University Hospital No 2, Collegium Medicum, Nicolaus Copernicus University, 85-168 Bydgoszcz, Poland
| | - Agnieszka Bylinka
- Doctoral School of Medical and Health Sciences, Collegium Medicum, Nicolaus Copernicus University, 85-067 Bydgoszcz, Poland
- Department of Radiology and Imaging Diagnostics, Jan Biziel University Hospital No. 2, 85-168 Bydgoszcz, Poland
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3
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Grazioplene RG, DeYoung CG, Hampson M, Anticevic A, Pittenger C. Obsessive compulsive symptom dimensions are linked to altered white-matter microstructure in a community sample of youth. Transl Psychiatry 2022; 12:328. [PMID: 35948535 PMCID: PMC9365814 DOI: 10.1038/s41398-022-02013-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 05/05/2022] [Accepted: 05/30/2022] [Indexed: 11/17/2022] Open
Abstract
Obsessive-compulsive symptoms (OCS) are common in school-aged children and predict the development of obsessive compulsive disorder (OCD). White-matter abnormalities have been described in OCD, but the white matter correlates of OCS in the developing brain are unclear. Some correlates of OCS (or a diagnosis of OCD) may reflect correlates of a transdiagnostic or even general psychopathology factor. We examined these questions in a large sample of typically developing youth (N = 1208), using a hierarchical analysis of fixel-based white matter measures in relation to OCS and general psychopathology. General psychopathology was associated with abnormalities in the posterior corpus callosum and forceps major in an age-dependent manner, suggesting altered maturation (specifically, hypermaturation in younger subjects). A unidimensional measure of OCS did not associate with any white-matter abnormalities, but analysis of separate OCS dimensions (derived from factor analysis within this sample) revealed the 'Bad Thoughts' dimension to associate with white-matter abnormalities in dorsal parietal white-matter and descending corticospinal tracts, and the 'Symmetry' dimension to associate with abnormalities in the anterior corpus callosum. Repetition/checking and Symmetry OCS were additionally associated with posterior abnormalities overlapping with the correlates of general psychopathology. Contamination symptoms had no white-matter correlates. Secondary analysis of fractional anisotropy (FA) revealed distinct white-matter abnormalities, suggesting that fixel-based and FA analyses identify distinct features of white matter relevant to psychopathology. These findings suggest that OCS dimensions correlate with dissociable abnormalities in white matter, implicating separable networks. Future studies should examine these white-matter signatures in a longitudinal framework.
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Affiliation(s)
| | - Colin G DeYoung
- University of Minnesota, Department of Psychology, Minneapolis, MN, USA
| | - Michelle Hampson
- Yale University, Department of Radiology and Biomedical Imaging, New Haven, CT, USA
| | - Alan Anticevic
- Yale University, Department of Psychiatry, New Haven, CT, USA
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4
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Posterior-prefrontal and medial orbitofrontal regions play crucial roles in happiness and sadness recognition. Neuroimage Clin 2022; 35:103072. [PMID: 35689975 PMCID: PMC9192961 DOI: 10.1016/j.nicl.2022.103072] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 05/31/2022] [Accepted: 05/31/2022] [Indexed: 11/23/2022]
Abstract
Brain areas underlying trade-off relations between emotions were identified. Damage to the PPF area reduces accuracy of happiness recognition. Damage to the PPF increases accuracy of sadness recognition. A similar tendency was observed in orbitofrontal regions for sadness recognition. Only a deficit in sadness, but not happiness, persisted in the chronic phase.
The core brain regions responsible for basic human emotions are not yet fully understood. We investigated the key areas responsible for emotion recognition of facial expressions of happiness and sadness using data obtained from patients who underwent local brain resection. A total of 44 patients with right cerebral hemispheric brain tumors and 33 healthy volunteers were enrolled and subjected to a facial expression recognition test. Voxel-based lesion-symptom mapping was performed to investigate the relationship between the accuracy of emotion recognition and the resected regions. Consequently, trade-off relationships were discovered: the posterior-prefrontal region was related to a low score of happiness recognition and a high score of sadness recognition (disorder-of-happiness group), whereas the medial orbitofrontal region was related to a low score of sadness recognition and a high score of happiness recognition (disorder-of-sadness group). The emotion recognition score in both the happiness and sadness disorder groups was significantly lower than that in the control group (p = 0.0009 and p = 0.021, respectively). Interestingly, the deficit in happiness recognition was temporary, whereas the deficit in sadness recognition persisted during the chronic phase. Using graph theoretical analysis, we identified structural connectivity between the posterior-prefrontal and medial orbitofrontal regions. When either of these regions was damaged, the tract volume connecting them was significantly reduced (p = 0.013). These results indicate that the posterior-prefrontal and medial orbitofrontal regions may be crucial for maintaining a balance between happiness and sadness recognition in humans. Investigating the clinical impact of certain area resections using lesion studies combined with connectivity analysis is a useful neuroimaging method for understanding neural networks.
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5
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Kim T, Aizenstein HJ, Snitz BE, Cheng Y, Chang YF, Roush RE, Huppert TJ, Cohen A, Doman J, Becker JT. Tract Specific White Matter Lesion Load Affects White Matter Microstructure and Their Relationships With Functional Connectivity and Cognitive Decline. Front Aging Neurosci 2022; 13:760663. [PMID: 35185514 PMCID: PMC8848259 DOI: 10.3389/fnagi.2021.760663] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 12/27/2021] [Indexed: 11/24/2022] Open
Abstract
White matter hyperintensities (WMHs) are associated with cognitive decline. Assessing the effect of WMH on WM microstructural changes and its relationships with structural and functional connectivity to multiple cognitive domains are helpful to better understand the pathophysiological processes of cognitive impairment. 65 participants (49 normal and 16 MCI subjects, age: 67.4 ± 8.3 years, 44 females) were studied at 3T. The WMHs and fifty fiber tracts were automatically segmented from the T1/T2-weighted images and diffusion-weighted images, respectively. Tract-profiles of WMH were compared with those of apparent fiber density (AFD). The relationship between AFD and tract connectivity (TC) was assessed. Functional connectivity (FC) between tract ends obtained from resting-state functional MRI was examined in relation to TC. Tract-specific relationships of WMH, TC and FC with a multi-domain neuropsychological test battery and Montreal Cognitive Assessment (MoCA) were also separately assessed by lasso linear regression. Indirect pathways of TC and FC between WMH and multiple cognitive measures were tested using the mediation analysis. Higher WMH loads in WM tracts were locally matched with the reduced AFD, which was related to decrease in TC. However, no direct relationship was found between TC and FC. Tract-specific changes on WMH, TC and FC for each cognitive performance may explain that macro- and microstructural and functional changes are associated differently with each cognitive domain in a fiber specific manner. In these identified tracts, the differences between normal and MCI for WMH and TC were increased, and the relationships of WMH, TC and FC with cognitive outcomes were more significant, compared to the results from all tracts. Indirect pathways of two-step (TC-FC) between WMH and all cognitive domains were significant (p < 0.0083 with Bonferroni correction), while the separated indirect pathways through TC and through FC were different depending on cognitive domain. Deterioration in specific cognitive domains may be affected by alterations in a set of different tracts that are differently associated with macrostructural, microstructural, and function changes. Thus, assessments of WMH and its associated changes on specific tracts help for better understanding of the interrelationships of multiple changes in cognitive impairment.
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Affiliation(s)
- Tae Kim
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States
- *Correspondence: Tae Kim,
| | - Howard J. Aizenstein
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Beth E. Snitz
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Yu Cheng
- Departments of Statistics and Biostatistics, University of Pittsburgh, Pittsburgh, PA, United States
| | - Yue-Fang Chang
- Department of Neurosurgery, University of Pittsburgh, Pittsburgh, PA, United States
| | - Rebecca E. Roush
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Theodore J. Huppert
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States
- Deparement of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, United States
| | - Annie Cohen
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Jack Doman
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - James T. Becker
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
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Xu F, Jin C, Zuo T, Wang R, Yang Y, Wang K. Segmental abnormalities of superior longitudinal fasciculus microstructure in patients with schizophrenia, bipolar disorder, and attention-deficit/hyperactivity disorder: An automated fiber quantification tractography study. Front Psychiatry 2022; 13:999384. [PMID: 36561639 PMCID: PMC9766353 DOI: 10.3389/fpsyt.2022.999384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 11/21/2022] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Superior longitudinal fasciculus (SLF) is a white matter (WM) tract that connects the frontal, parietal and temporal lobes. SLF integrity has been widely assessed in neuroimaging studies of psychiatric disorders, such as schizophrenia (SZ), bipolar disorder (BD), and attention-deficit/hyperactivity disorder (ADHD). However, prior studies have revealed inconsistent findings and comparisons across disorders have not been fully examined. METHODS Here, we obtained data for 113 patients (38 patients with SZ, 40 with BD, 35 with ADHD) and 94 healthy controls from the UCLA Consortium for Neuropsychiatric Phenomic LA5c dataset. We assessed the integrity of 20 major WM tracts with a novel segmentation method by automating fiber tract quantification (AFQ). The AFQ divides each tract into 100 equal parts along the direction of travel, with fractional anisotropy (FA) of each part taken as a characteristic. Differences in FA among the four groups were examined. RESULTS Compared to healthy controls, patients with SZ showed significantly lower FA in the second half (51-100 parts) of the SLF. No differences were found between BD and healthy controls, nor between ADHD and healthy controls. Results also demonstrated that patients with SZ showed FA reduction in the second half of the SLF relative to patients with BP. Moreover, greater FA in patients in SLF was positively correlated with the manic-hostility score of the Brief Psychiatry Rating scale. DISCUSSION These findings indicated that differences in focal changes in SLF might be a key neurobiological abnormality contributing to characterization of these psychiatric disorders.
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Affiliation(s)
- Feiyu Xu
- School of Mental Health, Jining Medical University, Jining, China.,Shandong Mental Health Center, Shandong University, Jinan, China
| | - Chengliang Jin
- School of Mental Health, Jining Medical University, Jining, China.,Shandong Mental Health Center, Shandong University, Jinan, China
| | - Tiantian Zuo
- Shandong Mental Health Center, Shandong University, Jinan, China.,Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Ruzhan Wang
- Shandong Mental Health Center, Shandong University, Jinan, China
| | - Ying Yang
- Shandong Mental Health Center, Shandong University, Jinan, China.,Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Kangcheng Wang
- School of Psychology, Shandong Normal University, Jinan, China
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7
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Four Deep Brain Stimulation Targets for Obsessive-Compulsive Disorder: Are They Different? Biol Psychiatry 2021; 90:667-677. [PMID: 32951818 PMCID: PMC9569132 DOI: 10.1016/j.biopsych.2020.06.031] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 06/22/2020] [Accepted: 06/22/2020] [Indexed: 02/07/2023]
Abstract
Deep brain stimulation is a promising therapeutic approach for patients with treatment-resistant obsessive-compulsive disorder, a condition linked to abnormalities in corticobasal ganglia networks. Effective targets are placed in one of four subcortical areas with the goal of capturing prefrontal, anterior cingulate, and basal ganglia connections linked to the limbic system. These include the anterior limb of the internal capsule, the ventral striatum, the subthalamic nucleus, and a midbrain target. The goal of this review is to examine these 4 targets with respect to the similarities and differences of their connections. Following a review of the connections for each target based on anatomic studies in nonhuman primates, we examine the accuracy of diffusion magnetic resonance imaging tractography to replicate those connections in nonhuman primates, before evaluating the connections in the human brain based on diffusion magnetic resonance imaging tractography. Results demonstrate that the four targets generally involve similar connections, all of which are part of the internal capsule. Nonetheless, some connections are unique to each site. Delineating the similarities and differences across targets is a critical step for evaluating and comparing the effectiveness of each and how circuits contribute to the therapeutic outcome. It also underscores the importance that the terminology used for each target accurately reflects its position and its anatomic connections, so as to enable comparisons across clinical studies and for basic scientists to probe mechanisms underlying deep brain stimulation.
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8
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Draps M, Kowalczyk-Grębska N, Marchewka A, Shi F, Gola M. White matter microstructural and Compulsive Sexual Behaviors Disorder - Diffusion Tensor Imaging study. J Behav Addict 2021; 10:55-64. [PMID: 33570504 PMCID: PMC8969848 DOI: 10.1556/2006.2021.00002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 10/30/2020] [Accepted: 12/27/2020] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND AND AIMS Even though the Compulsive Sexual Behavior Disorder (CSBD) was added to the ICD-11 under the impulse control category in 2019, its neural mechanisms are still debated. Researchers have noted its similarity both to addiction and to Obssesive-Compulsive Disorder (OCD). The aim of our study was to address this question by investigating the pattern of anatomical brain abnormalities among CSBD patients. METHODS Reviewing 39 publications on Diffusion Tensor Imaging (DTI) we have identified main abnormalities specific for addictions and OCD. Than we have collected DTI data from 36 heterosexual males diagnosed with CSBD and 31 matched healthy controls. These results were then compared to the addiction and OCD patterns. RESULTS Compared to controls, CSBD individuals showed significant fractional anisotropy (FA) reduction in the superior corona radiata tract, the internal capsule tract, cerebellar tracts and occipital gyrus white matter. Interestingly, all these regions were also identified in previous studies as shared DTI correlates in both OCD and addiction. DISCUSSION AND CONCLUSIONS Results of our study suggest that CSBD shares similar pattern of abnormalities with both OCD and addiction. As one of the first DTI study comparing structural brain differences between CSBD, addictions and OCD, although it reveals new aspects of CSBD, it is insufficient to determine whether CSBD resembles more an addiction or OCD. Further research, especially comparing directly individuals with all three disorders may provide more conclusive results.
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Affiliation(s)
- Małgorzata Draps
- Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland,Corresponding author. E-mail:
| | | | - Artur Marchewka
- Laboratory of Brain Imaging, Neurobiology Center, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Feng Shi
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, USA
| | - Mateusz Gola
- Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland,Swartz Center for Computational Neuroscience, Institute for Neural Computations, University of California San Diego, San Diego, USA
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9
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Zai G, Arnold PD, Richter MA, Hanna GL, Rosenberg D, Kennedy JL. An association of Myelin Oligodendrocyte Glycoprotein (MOG) gene variants with white matter volume in pediatric obsessive-compulsive disorder. Psychiatry Res Neuroimaging 2021; 307:111231. [PMID: 33302097 PMCID: PMC7775903 DOI: 10.1016/j.pscychresns.2020.111231] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 11/17/2020] [Accepted: 11/20/2020] [Indexed: 10/22/2022]
Abstract
An increasing number of neuroimaging studies have implicated alterations of white matter in obsessive-compulsive disorder (OCD). The myelin oligodendrocyte glycoprotein (MOG) gene plays a major role in myelination, and has previously demonstrated significant association with this disorder, thus variations in this gene may contribute to observed white matter alterations. The purpose of this study is to examine the relationship between white matter volume in OCD and genetic variations in the MOG gene. Two polymorphisms in the MOG gene, MOG(C1334T) and MOG(C10991T), were investigated for association with total white matter volume as measured using volumetric magnetic resonance imaging in 37 pediatric OCD patients. We compared white matter volumes between allele and genotype groups for each polymorphism using ANCOVA. A significant relationship was detected between genotype C/C of MOG(C10991T) and decreased total white matter volume (P = 0.016). Our results showed an association between a MOG genetic variant and white matter volume. This finding is intriguing in light of the posited role of white matter alteration in the etiology of at least some cases of childhood-onset OCD. Further investigation with larger samples and sub-regional white matter volume phenotypes is warranted.
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Affiliation(s)
- Gwyneth Zai
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada.
| | - Paul D Arnold
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, AB T2N 4N1, Canada; Program in Genetics and Genomic Biology and Department of Psychiatry, The Hospital for Sick Children, Toronto ON M5G 1 × 8, Canada
| | - Margaret A Richter
- Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; Frederick W. Thompson Anxiety Disorders Centre, Department of Psychiatry, Sunnybrook Health Science Centre, Toronto ON M4N 3M5, Canada
| | - Gregory L Hanna
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - David Rosenberg
- Department of Psychiatry & Behavioral Neurosciences, Wayne State University, Detroit, Michigan 48201, United States
| | - James L Kennedy
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
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10
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Dikmeer N, Besiroglu L, Di Biase MA, Zalesky A, Kasal MI, Bilge A, Durmaz E, Polat S, Gelal F, Zorlu N. White matter microstructure and connectivity in patients with obsessive-compulsive disorder and their unaffected siblings. Acta Psychiatr Scand 2021; 143:72-81. [PMID: 33029781 DOI: 10.1111/acps.13241] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 09/24/2020] [Accepted: 09/28/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVE We aimed to examine white matter microstructure and connectivity in individuals with obsessive-compulsive disorder (OCD) and their unaffected siblings, relative to healthy controls. METHODS Diffusion-weighted magnetic resonance imaging (dMRI) scans were acquired in 30 patients with OCD, 21 unaffected siblings, and 31 controls. We examined white matter microstructure using measures of fractional anisotropy (FA), radial diffusivity (RD), and axial diffusivity (AD). Structural networks were examined using network-based statistic (NBS). RESULTS Compared to controls, OCD patients showed significantly reduced FA and increased RD in clusters traversing the left forceps minor, inferior fronto-occipital fasciculus, anterior thalamic radiation, and cingulum. Furthermore, the OCD group displayed significantly weaker connectivity (quantified by the streamline count) compared to controls in the right hemisphere, most notably in edges connecting subcortical structures to temporo-occipital cortical regions. The sibling group showed intermediate streamline counts, FA and RD values between OCD and healthy control groups in connections found to be abnormal in patients with OCD. However, these reductions did not significantly differ compared to controls. CONCLUSION Therefore, siblings of OCD patients display intermediate levels in dMRI measures of microstructure and connectivity, suggesting white matter abnormalities might be related to the familial predisposition for OCD.
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Affiliation(s)
- Nur Dikmeer
- Department of Psychiatry, Katip Celebi University, Ataturk Education and Research Hospital, Izmir, Turkey
| | - Lutfullah Besiroglu
- Department of Psychiatry, Katip Celebi University, Ataturk Education and Research Hospital, Izmir, Turkey
| | - Maria A Di Biase
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - Andrew Zalesky
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton South, VIC, Australia.,Department of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, Australia
| | - Meltem I Kasal
- Department of Psychiatry, Katip Celebi University, Ataturk Education and Research Hospital, Izmir, Turkey
| | - Aslıhan Bilge
- Department of Psychiatry, Katip Celebi University, Ataturk Education and Research Hospital, Izmir, Turkey
| | - Ercan Durmaz
- Department of Psychiatry, Katip Celebi University, Ataturk Education and Research Hospital, Izmir, Turkey
| | - Serap Polat
- Department of Psychiatry, Katip Celebi University, Ataturk Education and Research Hospital, Izmir, Turkey
| | - Fazil Gelal
- Department of Radiodiagnostics, Katip Celebi University, Ataturk Education and Research Hospital, Ankara, Turkey
| | - Nabi Zorlu
- Department of Psychiatry, Katip Celebi University, Ataturk Education and Research Hospital, Izmir, Turkey
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11
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Brecke V, Thorsen AL, Ousdal OT, Vriend C, Alnæs D, Hagen K, Hansen B, Kvale G, van den Heuvel OA. Diffusion Tensor Imaging Before and 3 Months After Concentrated Exposure Response Prevention in Obsessive-Compulsive Disorder. Front Psychiatry 2021; 12:674020. [PMID: 34122191 PMCID: PMC8187597 DOI: 10.3389/fpsyt.2021.674020] [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: 02/28/2021] [Accepted: 04/28/2021] [Indexed: 11/15/2022] Open
Abstract
Background: Subtle differences in white matter microstructure have been found in obsessive-compulsive disorder (OCD) compared to controls using diffusion tensor imaging (DTI), but it is unclear if and how this change after treatment. The primary aim of this pre-registered study was to investigate white matter integrity between OCD patients and controls and changes after concentrated exposure and response prevention (ERP). Methods: Fractional anisotropy (FA), radial diffusivity (RD), axial diffusivity (AD) and mean diffusivity (MD) were estimated using FMRIB Software Library (FSL). The images were registered to a study-specific template using a longitudinal pipeline based on full tensor information in DTI-TK. Voxel-based analysis was performed using tract-based spatial statistics (TBSS). Using SPSS, we compared the integrity in three bilateral regions of interest (ROI), the sagittal stratum, posterior thalamic radiation and cingulum, in 32 OCD patients and 30 matched healthy controls at baseline. Patients received a four-day concentrated ERP format. We investigated longitudinal changes in 26 OCD patients and 22 healthy controls at 3months follow-up using repeated-measures ANOVA. Exploratory t-tests were conducted for AD and MD. Secondary hypothesis used linear regression to investigate if baseline FA predict treatment outcome 3 months later, and if patients with illness onset before 18 years of age would show lower FA in sagittal stratum. Finally, we performed sensitivity analysis on medication and comorbidity influences on FA. Results: Three months after treatment, 77% of the patients were in remission. Contrary to our hypotheses, we did not find any significant differences in FA, RD, AD or MD between the groups before treatment, nor significant group by time effects in any of the ROI. None of the baseline FA measures significantly predicted treatment outcome. Illness onset before 18 years of age did not significantly predict FA in the sagittal stratum. Adjusting for medication or comorbid anxiety or mood disorder did not influence the results. Conclusions: Although concentrated ERP in OCD lead to high remission, we did not find significant long-term changes by DTI. Future studies will benefit from using larger sample sizes and multi-shell diffusion-weighted imaging when investigating white matter microstructure in OCD and underlying neurobiological mechanisms of treatment.
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Affiliation(s)
- Vilde Brecke
- Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway
| | - Anders Lillevik Thorsen
- Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway.,Centre for Crisis Psychology, University of Bergen, Bergen, Norway.,Department of Clinical Psychology, University of Bergen, Bergen, Norway
| | - Olga Therese Ousdal
- Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway.,Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Chris Vriend
- Department of Psychiatry, Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Dag Alnæs
- Bjørknes College, Oslo, Norway.,Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kristen Hagen
- Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway.,Psychiatric Department, Hospital of Molde, Molde, Norway
| | - Bjarne Hansen
- Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway.,Centre for Crisis Psychology, University of Bergen, Bergen, Norway
| | - Gerd Kvale
- Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Psychology, University of Bergen, Bergen, Norway
| | - Odile A van den Heuvel
- Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway.,Department of Psychiatry, Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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12
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Sadri Damirchi E, Mojarrad A, Pireinaladin S, Grjibovski AM. The Role of Self-Talk in Predicting Death Anxiety, Obsessive-Compulsive Disorder, and Coping Strategies in the Face of Coronavirus Disease (COVID-19). IRANIAN JOURNAL OF PSYCHIATRY 2020; 15:182-188. [PMID: 33193766 PMCID: PMC7603592 DOI: 10.18502/ijps.v15i3.3810] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Objective: Nowadays, the outbreak of Coronavirus (COVID-19) is one of the most stressful resources that has led to the rise of different levels of psychological crisis. In addition to the countries affected by the COVID-19, such as China, European and American countries, Iran has appeared as one of the most affected countries with high infected cases and deaths. Thus, the purpose of this study was to investigate the role of self-talk in predicting death anxiety, obsessive-compulsive disorder, and coping strategies in the face of COVID-19. Method: This descriptive and correlational study was conducted on 354 adults living in Ardabil, Iran, who were selected using cluster sampling from 21 January to 19 March 2020. Self-Talk questionnaires, Coping Strategies, Death Anxiety, and Obsessive-Compulsive questionnaires were used for data collection. Descriptive statistics, Pearson correlation, and multiple linear regression were used for data analysis. Results: The findings revealed a significant positive relationship between self-talk and problem-centered coping style. Also, significant negative relationships were found between self-talk and emotional coping style, death anxiety, and obsessive-compulsive disorder. Furthermore, based on the results of the regression test, self-talk predicted problem-centered style, emotional-coping style, death anxiety, and obsessive-compulsive disorder. Conclusion: The results of this study emphasize the need for psychological crisis intervention during the COVID-19 outbreak. Also, this study provides an important step in shifting attention to self-talk skills from sport psychology fields toward clinical psychology, especially about the mental impacts of COVID-19.
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Affiliation(s)
- Esmaeil Sadri Damirchi
- Department of Counseling, School of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Arezoo Mojarrad
- School of Psychology and Educational Sciences, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Saeed Pireinaladin
- School of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran
| | - Andrej M Grjibovski
- Northern State Medical University, Arkhangelsk, Russia.,First Moscow State Medical University (Sechenov University), Moscow, Russia.,North-Eastern Federal University, Yakutsk, Russia.,Al Farabi Kazakh National University, Almaty, Kazakhstan
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13
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Nonhuman primate meso-circuitry data: a translational tool to understand brain networks across species. Brain Struct Funct 2020; 226:1-11. [PMID: 33128126 DOI: 10.1007/s00429-020-02133-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 07/09/2020] [Indexed: 12/14/2022]
Abstract
The foundation for understanding brain connections and related psychiatric diseases lies in human and animal circuitry studies. In rodents and nonhuman primates (NHPs), axonal tracing methods provide the ground-truth connectivity information of brain circuits, coupled with the ability to experimentally manipulate them when combined with other methods. In humans, neuroimaging approaches have taken the lead for studying connectivity patterns in vivo and the changes in network profiles associated with disease. To integrate knowledge from animal models and humans, a critical question is how similar the animal brains and circuits are to the humans'. In this review, we demonstrate the use of meso-circuitry information from tracing studies in NHPs to understand common network connections across species. We show that the meso-circuitry information help establish homologies of cortical and striatal regions and fiber pathways between rodents and NHPs, facilitate the translation of connections that are detailed in animal models to humans, and can locate critical hubs in large-scale brain networks. This review combines anatomic studies across animal models and imaging studies across NHPs and humans to provide a more comprehensive understanding of the hard-wired connectivity that underlies neuroimaging-derived brain networks.
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14
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Haber SN, Tang W, Choi EY, Yendiki A, Liu H, Jbabdi S, Versace A, Phillips M. Circuits, Networks, and Neuropsychiatric Disease: Transitioning From Anatomy to Imaging. Biol Psychiatry 2020; 87:318-327. [PMID: 31870495 DOI: 10.1016/j.biopsych.2019.10.024] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 10/24/2019] [Accepted: 10/24/2019] [Indexed: 12/14/2022]
Abstract
Since the development of cellular and myelin stains, anatomy has formed the foundation for understanding circuitry in the human brain. However, recent functional and structural studies using magnetic resonance imaging have taken the lead in this endeavor. These innovative and noninvasive approaches have the advantage of studying connectivity patterns under different conditions directly in the human brain. They demonstrate dynamic and structural changes within and across networks linked to normal function and to a wide range of psychiatric illnesses. However, these indirect methods are unable to link networks to the hardwiring that underlies them. In contrast, anatomic invasive experimental studies can. Following a brief review of prefrontal cortical, anterior cingulate, and striatal connections and the different methodologies used, this article discusses how data from anatomic studies can help inform how hardwired connections are linked to the functional and structural networks identified in imaging studies.
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Affiliation(s)
- Suzanne N Haber
- Department of Pharmacology and Physiology, University of Rochester School of Medicine, Rochester, New York; Department of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, Massachusetts.
| | - Wei Tang
- Department of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, Massachusetts
| | - Eun Young Choi
- Department of Neuroscience, Stanford University, Palo Alto, California
| | - Anastasia Yendiki
- Athinoula A. Martinos Center for Biomedical Imaging, Harvard University & Massachusetts General Hospital, Boston, Massachusetts
| | - Hesheng Liu
- Department of Radiology, Medical University of South Carolina, Charleston, South Carolina
| | - Saad Jbabdi
- Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mary Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
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