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Madsen SJ, Uddin LQ, Mumford JA, Barch DM, Fair DA, Gotlib IH, Poldrack RA, Kuceyeski A, Saggar M. Predicting Task Activation Maps from Resting-State Functional Connectivity using Deep Learning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.10.612309. [PMID: 39314460 PMCID: PMC11419026 DOI: 10.1101/2024.09.10.612309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
Recent work has shown that deep learning is a powerful tool for predicting brain activation patterns evoked through various tasks using resting state features. We replicate and improve upon this recent work to introduce two models, BrainSERF and BrainSurfGCN, that perform at least as well as the state-of-the-art while greatly reducing memory and computational footprints. Our performance analysis observed that low predictability was associated with a possible lack of task engagement derived from behavioral performance. Furthermore, a deficiency in model performance was also observed for closely matched task contrasts, likely due to high individual variability confirmed by low test-retest reliability. Overall, we successfully replicate recently developed deep learning architecture and provide scalable models for further research.
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Affiliation(s)
| | - Lucina Q. Uddin
- Department of Psychiatry, University of California, Los Angeles, USA
| | | | - Deanna M. Barch
- Department of Psychology, Washington University in St. Louis, USA
| | | | | | | | - Amy Kuceyeski
- Department of Radiology, Weill Cornell Medicine, USA
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2
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Yan H, Shan X, Li H, Liu F, Xie G, Li P, Guo W. Cerebellar functional connectivity and its associated genes: A longitudinal study in drug-naive patients with obsessive-compulsive disorder. J Psychiatr Res 2024; 177:378-391. [PMID: 39083996 DOI: 10.1016/j.jpsychires.2024.07.040] [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: 04/12/2024] [Revised: 07/19/2024] [Accepted: 07/27/2024] [Indexed: 08/02/2024]
Abstract
The role of cerebellar-cerebral functional connectivity (CC-FC) in obsessive-compulsive disorder (OCD), its trajectory post-pharmacotherapy, and its potential as a prognostic biomarker and genetic mechanism remain uncertain. To address these gaps, this study included 37 drug-naive OCD patients and 37 healthy controls (HCs). Participants underwent baseline functional magnetic resonance imaging (fMRI), followed by four weeks of paroxetine treatment for patients with OCD, and another fMRI scan post-treatment. We examined seed-based CC-FC differences between the patients and HCs, and pre- and post-treatment patients. Support vector regression (SVR) based on CC-FC was performed to predict treatment response. Correlation analysis explored associations between CC-FC and clinical features, as well as gene profiles. Compared to HCs, drug-naive OCD patients exhibited reduced CC-FC in executive, affective-limbic, and sensorimotor networks, with specific genetic profiles associated with altered CC-FC. Gene enrichment analyses highlighted the involvement of these genes in various biological processes, molecular functions, and pathways. Post-treatment, the patients showed partial clinical improvement and partial restoration of the previously decreased CC-FC. Abnormal CC-FC at baseline correlated negatively with compulsions severity and social functional impairment, while changes in CC-FC correlated with cognitive function changes post-treatment. CC-FC emerged as a potential predictor of symptom severity in patients following paroxetine treatment. This longitudinal resting-state fMRI study underscores the crucial role of CC-FC in the neuropsychological mechanisms of OCD and its pharmacological treatment. Transcriptome-neuroimaging spatial correlation analyses provide insight into the neurobiological mechanisms underlying OCD pathology. Furthermore, SVR analyses hold promise for advancing precision medicine approaches in treating patients with OCD.
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Affiliation(s)
- Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Xiaoxiao Shan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Guojun Xie
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528000, Guangdong, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
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3
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Zhang C, Zhang X, Li W, Zhang T, Zhang Z, Lu L, Didonna F, Fan Q. Pallidum volume as a predictor for the effectiveness of mindfulness-based cognitive therapy and psycho-education in unmedicated patients with obsessive-compulsive disorder. Compr Psychiatry 2024; 131:152462. [PMID: 38354586 DOI: 10.1016/j.comppsych.2024.152462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 02/03/2024] [Accepted: 02/09/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Mindfulness-based cognitive therapy (MBCT) has been documented to be effective in treating obsessive-compulsive disorder (OCD). However, the neurobiological basis of MBCT remains largely elusive, which makes it clinically challenging to predict which patients are more likely to respond poorly. Hence, identifying biomarkers for predicting treatment outcomes holds both scientific and clinical values. This prognostic study aims to investigate whether pre-treatment brain morphological metrics can predict the effectiveness of MBCT, compared with psycho-education (PE) as an active placebo, among patients with OCD. METHODS A total of 32 patients with OCD were included in this prognostic study. They received magnetic resonance imaging (MRI) brain scans before treatment. Subsequently, 16 patients received 10 weeks of MBCT, while the other 16 patients underwent a 10-week PE program. The effectiveness of the treatments was primarily assessed by the reduction rate of the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) total score before and after the treatment. We investigated whether several predefined OCD-associated brain morphological metrics, selected based on prior published studies by the ENIGMA Consortium, could predict the treatment effectiveness. RESULTS Both the MBCT and PE groups exhibited substantial reductions in Y-BOCS scores over 10 weeks of treatment, with the MBCT group showing a larger reduction. Notably, the pallidum total volume was associated with treatment effectiveness, irrespective of the intervention group. Specifically, a linear regression model utilizing the pre-treatment pallidum volume to predict the treatment effectiveness suggested that a one-cubic-centimeter increase in pallidum volume corresponded to a 22.3% decrease in the Y-BOCS total score reduction rate. CONCLUSIONS Pallidum volume may serve as a promising predictor for the effectiveness of MBCT and PE, and perhaps, other treatments with the shared mechanisms by MBCT and PE, among patients with OCD.
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Affiliation(s)
- Chen Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaochen Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenqing Li
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Tianran Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Child Development and Education, University of Amsterdam, Amsterdam, the Netherlands
| | - Zongfeng Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Psychiatry, Ningbo Kangning Hospital & Affiliated Mental Health Centre, Ningbo University, Ningbo, Zhejiang, China
| | - Lu Lu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Clinical Psychology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | | | - Qing Fan
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China; Mental Health Branch, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China.
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4
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Li B, Lin Y, Ren C, Cheng J, Zhang Y, Han S. Gray matter volume abnormalities in obsessive-compulsive disorder correlate with molecular and transcriptional profiles. J Affect Disord 2024; 344:182-190. [PMID: 37838261 DOI: 10.1016/j.jad.2023.10.076] [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: 07/07/2023] [Revised: 09/17/2023] [Accepted: 10/09/2023] [Indexed: 10/16/2023]
Abstract
Neuroimaging studies have consistently established altered brain structure in obsessive-compulsive disorder (OCD). However, the molecular and genetic mechanisms underlying structural brain abnormalities remain unclear. In this study, we aimed to investigate altered gray matter volume and its underlying molecular and genetic mechanisms in patients with OCD. Gray matter morphological abnormalities measured with voxel based morphometry analysis were identified in patients with OCD in comparison to sex- and age-matched healthy controls (HCs). Spatial correlations between gray matter morphological abnormalities and neurotransmitter maps were calculated to identify neurotransmitters relating to structural abnormalities. Structural abnormalities related genes were identified by conducting transcriptome-neuroimaging spatial correlations. Compared with HCs, patients with OCD demonstrated significant morphological abnormalities in distributed brain areas, including gray matter atrophy in the anterior cingulate and increased gray matter volume in the thalamus, caudate and precentral and postcentral gyrus. The morphological abnormalities were significantly associated with dopamine synthesis capacity and expression profiles of 1110 genes enriched for trans-synaptic signaling, regulation of membrane potential, modulation of chemical synaptic transmission, brain development, synapse organization and regulation of neurotransmitter levels. These results elucidate the molecular and transcriptional basis of altered gray matter morphology and build linking between molecular, transcriptional and neuroimaging information facilitating an integrative understanding of OCD.
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Affiliation(s)
- Beibei Li
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China
| | - Yanan Lin
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China
| | - Cuiping Ren
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China.
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China.
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5
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Wheaton MG, Rosenfield B, Rosenfield D, Marsh R, Foa EB, Simpson HB. Predictors of EX/RP alone versus EX/RP with medication for adults with OCD: does medication status moderate outcomes? J Obsessive Compuls Relat Disord 2023; 39:100850. [PMID: 38054078 PMCID: PMC10695351 DOI: 10.1016/j.jocrd.2023.100850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
Exposure and response prevention (EX/RP) can be delivered as monotherapy or to augment serotonin reuptake inhibitors (SRIs). While both options are considered effective OCD treatments, responses are heterogenous. Substantial work has investigated EX/RP predictors to account for this variability in responses, with mixed findings. Little research has studied whether EX/RP predictors may differ in medicated versus non-medicated samples (i.e., medication status as a moderator). We pooled data from two clinical trials conducted concurrently in the same specialty OCD clinic. One enrolled patients who were on stable SRI doses (EX/RP as SRI augmentation, n=58) while the other enrolled non-medicated patients (EX/RP monotherapy, n=38). Both trials used the same manualized EX/RP protocol and blinded independent evaluators. LASSO regression derived predictors and moderators of outcome. Improvement did not significantly differ between the EX/RP alone group and the SRI+EX/RP group. In both groups, higher baseline OCD severity and worse quality of life predicted poorer outcome. OCPD traits moderated results: Patients with more severe OCPD traits had better outcomes from EX/RP monotherapy than those receiving EX/RP with SRIs. Patient adherence to EX/RP homework mediated the associations between the baseline variables and outcome. The effect of OCPD traits on outcome warrants future study to improve care.
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Affiliation(s)
- Michael G Wheaton
- Barnard College, Columbia University, New York, NY USA
- New York State Psychiatric Institute, New York, NY USA
| | | | | | - Rachel Marsh
- New York State Psychiatric Institute, New York, NY USA
- Columbia Psychiatry, Columbia University Medical Center, New York, NY USA
| | - Edna B Foa
- University of Pennsylvania, Philadelphia, PA, USA
| | - H Blair Simpson
- New York State Psychiatric Institute, New York, NY USA
- University of Pennsylvania, Philadelphia, PA, USA
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Lv Q, Zeljic K, Zhao S, Zhang J, Zhang J, Wang Z. Dissecting Psychiatric Heterogeneity and Comorbidity with Core Region-Based Machine Learning. Neurosci Bull 2023; 39:1309-1326. [PMID: 37093448 PMCID: PMC10387015 DOI: 10.1007/s12264-023-01057-2] [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: 09/02/2022] [Accepted: 02/17/2023] [Indexed: 04/25/2023] Open
Abstract
Machine learning approaches are increasingly being applied to neuroimaging data from patients with psychiatric disorders to extract brain-based features for diagnosis and prognosis. The goal of this review is to discuss recent practices for evaluating machine learning applications to obsessive-compulsive and related disorders and to advance a novel strategy of building machine learning models based on a set of core brain regions for better performance, interpretability, and generalizability. Specifically, we argue that a core set of co-altered brain regions (namely 'core regions') comprising areas central to the underlying psychopathology enables the efficient construction of a predictive model to identify distinct symptom dimensions/clusters in individual patients. Hypothesis-driven and data-driven approaches are further introduced showing how core regions are identified from the entire brain. We demonstrate a broadly applicable roadmap for leveraging this core set-based strategy to accelerate the pursuit of neuroimaging-based markers for diagnosis and prognosis in a variety of psychiatric disorders.
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Affiliation(s)
- Qian Lv
- School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
| | - Kristina Zeljic
- School of Health and Psychological Sciences, City, University of London, London, EC1V 0HB, UK
| | - Shaoling Zhao
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
- University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Jiangtao Zhang
- Tongde Hospital of Zhejiang Province (Zhejiang Mental Health Center), Zhejiang Office of Mental Health, Hangzhou, 310012, China
| | - Jianmin Zhang
- Tongde Hospital of Zhejiang Province (Zhejiang Mental Health Center), Zhejiang Office of Mental Health, Hangzhou, 310012, China
| | - Zheng Wang
- School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.
- School of Biomedical Engineering, Hainan University, Haikou, 570228, China.
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7
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Pagliaccio D, Wengler K, Durham K, Fontaine M, Rueppel M, Becker H, Bilek E, Pieper S, Risdon C, Horga G, Fitzgerald KD, Marsh R. Probing midbrain dopamine function in pediatric obsessive-compulsive disorder via neuromelanin-sensitive magnetic resonance imaging. Mol Psychiatry 2023; 28:3075-3082. [PMID: 37198261 PMCID: PMC10189717 DOI: 10.1038/s41380-023-02105-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 04/26/2023] [Accepted: 05/03/2023] [Indexed: 05/19/2023]
Abstract
Obsessive-compulsive disorder (OCD) is an impairing psychiatric condition, which often onsets in childhood. Growing research highlights dopaminergic alterations in adult OCD, yet pediatric studies are limited by methodological constraints. This is the first study to utilize neuromelanin-sensitive MRI as a proxy for dopaminergic function among children with OCD. N = 135 youth (6-14-year-olds) completed high-resolution neuromelanin-sensitive MRI across two sites; n = 64 had an OCD diagnosis. N = 47 children with OCD completed a second scan after cognitive-behavioral therapy. Voxel-wise analyses identified that neuromelanin-MRI signal was higher among children with OCD compared to those without (483 voxels, permutation-corrected p = 0.018). Effects were significant within both the substania nigra pars compacta (p = 0.004, Cohen's d = 0.51) and ventral tegmental area (p = 0.006, d = 0.50). Follow-up analyses indicated that more severe lifetime symptoms (t = -2.72, p = 0.009) and longer illness duration (t = -2.22, p = 0.03) related to lower neuromelanin-MRI signal. Despite significant symptom reduction with therapy (p < 0.001, d = 1.44), neither baseline nor change in neuromelanin-MRI signal associated with symptom improvement. Current results provide the first demonstration of the utility of neuromelanin-MRI in pediatric psychiatry, specifically highlighting in vivo evidence for midbrain dopamine alterations in treatment-seeking youth with OCD. Neuromelanin-MRI likely indexes accumulating alterations over time, herein, implicating dopamine hyperactivity in OCD. Given evidence of increased neuromelanin signal in pediatric OCD but negative association with symptom severity, additional work is needed to parse potential longitudinal or compensatory mechanisms. Future studies should explore the utility of neuromelanin-MRI biomarkers to identify early risk prior to onset, parse OCD subtypes or symptom heterogeneity, and explore prediction of pharmacotherapy response.
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Affiliation(s)
- David Pagliaccio
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
- New York State Psychiatric Institute, New York, NY, USA.
| | - Kenneth Wengler
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Katherine Durham
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Martine Fontaine
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Meryl Rueppel
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Hannah Becker
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Emily Bilek
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Sarah Pieper
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Caroline Risdon
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Guillermo Horga
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Kate D Fitzgerald
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Rachel Marsh
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
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8
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Kim H, Wheaton MG, Foa EB, Simpson HB. Identifying trajectories of symptom change in adults with obsessive compulsive disorder receiving exposure and response prevention therapy. J Anxiety Disord 2023; 96:102711. [PMID: 37148799 PMCID: PMC10209477 DOI: 10.1016/j.janxdis.2023.102711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 03/19/2023] [Accepted: 03/31/2023] [Indexed: 05/08/2023]
Abstract
Exposure and response prevention (EX/RP) is a recommended psychotherapy for obsessive-compulsive disorder (OCD). Yet, not all patients benefit equally from EX/RP. Prior studies have examined EX/RP predictors by predicting endpoint symptoms and/or pre-post symptom change, rather than accounting for trajectories of symptom change across treatment. We pooled data from four NIMH-funded clinical trials, yielding a large sample (N = 334) of adults who received a standard course of manualized EX/RP. Independent evaluators rated OCD severity using the Yale-Brown Obsessive-Compulsive Scale (YBOCS). Data were analyzed using growth mixture modeling (GMM) to detect subgroups of participants with similar trajectories of symptom change followed by multinomial logistic regression to identify baseline variables capable of predicting class membership. GMM revealed three distinct trajectory classes: 22.5% of the sample showed dramatic improvement (dramatic progress class), 52.1% showed moderate improvement (moderate progress class), and 25.4% showed little change (little to no progress class). Membership in the little to no progress class was predicted by baseline avoidance and transdiagnostic internalizing factor levels. These findings suggest that OCD symptom improvement with outpatient EX/RP occurs via distinct trajectories. These findings have implication regarding identifying treatment non-responders and personalizing treatment depending one's baseline characteristics in order to optimize treatment effectiveness.
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Affiliation(s)
| | - Michael G Wheaton
- Barnard College, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA
| | - Edna B Foa
- University of Pennsylvania, Philadelphia, PA, USA
| | - H Blair Simpson
- New York State Psychiatric Institute, New York, NY, USA; Department of Psychiatry, Columbia University, New York, NY, USA.
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9
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Russman Block S, Norman LJ, Zhang X, Mannella KA, Yang H, Angstadt M, Abelson JL, Himle JA, Taylor SF, Fitzgerald KD. Resting-State Connectivity and Response to Psychotherapy Treatment in Adolescents and Adults With OCD: A Randomized Clinical Trial. Am J Psychiatry 2023; 180:89-99. [PMID: 36475374 PMCID: PMC10956516 DOI: 10.1176/appi.ajp.21111173] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Cortical-subcortical hyperconnectivity related to affective-behavioral integration and cortical network hypoconnectivity related to cognitive control have been demonstrated in obsessive-compulsive disorder (OCD); the study objective was to examine whether these connectivity patterns predict treatment response. METHODS Adolescents (ages 12-17) and adults (ages 24-45) were randomly assigned to 12 sessions of exposure and response prevention (ERP) or stress management therapy (SMT), an active control. Before treatment, resting-state connectivity of ventromedial prefrontal cortical (vmPFC), cingulo-opercular, frontoparietal, and subcortical regions was assessed with functional MRI. OCD severity was assessed with the Yale-Brown Obsessive Compulsive Scale before, during, and after treatment. Usable fMRI and longitudinal symptom data were obtained from 116 patients (68 female; 54 adolescents; 60 medicated). RESULTS ERP produced greater decreases in symptom scores than SMT. ERP was selectively associated with less vmPFC-subcortical (caudate and thalamus) connectivity in both age groups and primarily in unmedicated participants. Greater symptom improvement with both ERP and SMT was associated with greater cognitive-control (cingulo-opercular and frontoparietal) and subcortical (putamen) connectivity across age groups. Developmental specificity was observed across ERP and SMT treatments, such that greater improvements with ERP than SMT were associated with greater frontoparietal-subcortical (nucleus accumbens) connectivity in adolescents but greater connectivity between frontoparietal regions in adults. Comparison of response-predictive connections revealed no significant differences compared with a matched healthy control group. CONCLUSIONS The results suggest that less vmPFC-subcortical connectivity related to affect-influenced behavior may be important for ERP engagement, whereas greater cognitive-control and motor circuit connectivity may generally facilitate response to psychotherapy. Finally, neural predictors of treatment response may differ by age.
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Affiliation(s)
- Stefanie Russman Block
- Department of Psychiatry (Russman Block, Norman, Zhang, Mannella, Angstadt, Abelson, Himle, Taylor, Fitzgerald) and School of Social Work (Himle), University of Michigan, Ann Arbor; Changzhi Medical College, Changzhi, China (Zhang); Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China (Yang); Department of Psychiatry, Columbia University, and New York State Psychiatric Institute, New York (Fitzgerald)
| | - Luke J Norman
- Department of Psychiatry (Russman Block, Norman, Zhang, Mannella, Angstadt, Abelson, Himle, Taylor, Fitzgerald) and School of Social Work (Himle), University of Michigan, Ann Arbor; Changzhi Medical College, Changzhi, China (Zhang); Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China (Yang); Department of Psychiatry, Columbia University, and New York State Psychiatric Institute, New York (Fitzgerald)
| | - Xiaoxi Zhang
- Department of Psychiatry (Russman Block, Norman, Zhang, Mannella, Angstadt, Abelson, Himle, Taylor, Fitzgerald) and School of Social Work (Himle), University of Michigan, Ann Arbor; Changzhi Medical College, Changzhi, China (Zhang); Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China (Yang); Department of Psychiatry, Columbia University, and New York State Psychiatric Institute, New York (Fitzgerald)
| | - Kristin A Mannella
- Department of Psychiatry (Russman Block, Norman, Zhang, Mannella, Angstadt, Abelson, Himle, Taylor, Fitzgerald) and School of Social Work (Himle), University of Michigan, Ann Arbor; Changzhi Medical College, Changzhi, China (Zhang); Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China (Yang); Department of Psychiatry, Columbia University, and New York State Psychiatric Institute, New York (Fitzgerald)
| | - Huan Yang
- Department of Psychiatry (Russman Block, Norman, Zhang, Mannella, Angstadt, Abelson, Himle, Taylor, Fitzgerald) and School of Social Work (Himle), University of Michigan, Ann Arbor; Changzhi Medical College, Changzhi, China (Zhang); Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China (Yang); Department of Psychiatry, Columbia University, and New York State Psychiatric Institute, New York (Fitzgerald)
| | - Mike Angstadt
- Department of Psychiatry (Russman Block, Norman, Zhang, Mannella, Angstadt, Abelson, Himle, Taylor, Fitzgerald) and School of Social Work (Himle), University of Michigan, Ann Arbor; Changzhi Medical College, Changzhi, China (Zhang); Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China (Yang); Department of Psychiatry, Columbia University, and New York State Psychiatric Institute, New York (Fitzgerald)
| | - James L Abelson
- Department of Psychiatry (Russman Block, Norman, Zhang, Mannella, Angstadt, Abelson, Himle, Taylor, Fitzgerald) and School of Social Work (Himle), University of Michigan, Ann Arbor; Changzhi Medical College, Changzhi, China (Zhang); Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China (Yang); Department of Psychiatry, Columbia University, and New York State Psychiatric Institute, New York (Fitzgerald)
| | - Joseph A Himle
- Department of Psychiatry (Russman Block, Norman, Zhang, Mannella, Angstadt, Abelson, Himle, Taylor, Fitzgerald) and School of Social Work (Himle), University of Michigan, Ann Arbor; Changzhi Medical College, Changzhi, China (Zhang); Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China (Yang); Department of Psychiatry, Columbia University, and New York State Psychiatric Institute, New York (Fitzgerald)
| | - Stephan F Taylor
- Department of Psychiatry (Russman Block, Norman, Zhang, Mannella, Angstadt, Abelson, Himle, Taylor, Fitzgerald) and School of Social Work (Himle), University of Michigan, Ann Arbor; Changzhi Medical College, Changzhi, China (Zhang); Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China (Yang); Department of Psychiatry, Columbia University, and New York State Psychiatric Institute, New York (Fitzgerald)
| | - Kate D Fitzgerald
- Department of Psychiatry (Russman Block, Norman, Zhang, Mannella, Angstadt, Abelson, Himle, Taylor, Fitzgerald) and School of Social Work (Himle), University of Michigan, Ann Arbor; Changzhi Medical College, Changzhi, China (Zhang); Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China (Yang); Department of Psychiatry, Columbia University, and New York State Psychiatric Institute, New York (Fitzgerald)
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Funch Uhre V, Melissa Larsen K, Marc Herz D, Baaré W, Katrine Pagsberg A, Roman Siebner H. Inhibitory control in obsessive compulsive disorder: A systematic review and activation likelihood estimation meta-analysis of functional magnetic resonance imaging studies. NEUROIMAGE: CLINICAL 2022; 36:103268. [PMID: 36451370 PMCID: PMC9723317 DOI: 10.1016/j.nicl.2022.103268] [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: 10/06/2022] [Accepted: 11/02/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Patients with obsessive compulsive disorder (OCD) often show deficits in inhibitory control, which may underlie poor control over obsessions and compulsions. Several functional magnetic resonance imaging (fMRI) experiments utilizing a variety of tasks have investigated the neural correlates of inhibitory control in OCD. Evidence from existing meta-analyses suggests aberrant activation of regions in fronto-striatal circuits during inhibitory control. However, new fMRI articles have since been published, and a more rigorous methodology for neuroimaging meta-analyses is now available. OBJECTIVES First, to reevaluate the evidence for abnormal brain activation during performance of inhibitory control tasks in OCD while adhering to current best practices for meta-analyses, and second, to extend previous findings by separately assessing different subprocesses of inhibitory control. METHOD We systematically searched Web of Knowledge, ScienceDirect, Scopus, PubMed and the functional BrainMap database for fMRI articles that compared activation during performance of inhibitory control tasks in patients with OCD and healthy control (HC) subjects. Thirty-five experiments from 21 articles met our criteria for inclusion. We first performed activation-likelihood-estimation meta-analyses to elucidate brain areas in which case-control activation differences converged across articles and tasks. We then aimed to extend previous work by separately evaluating experiments requiring inhibition of a prepotent response without execution of an alternative response (i.e., response inhibition) and experiments requiring inhibition of a prepotent response and execution of an alternative response (i.e., cognitive inhibition). RESULTS The 35 experiments included a total of 394 patients and 410 controls. We did not find evidence of abnormal brain activation in OCD during inhibitory control when pooling data from all experiments. Analysis restricted to cognitive inhibition experiments showed abnormal activation of the dorsal anterior cingulate cortex (dACC; P = .04, cluster-level familywise error-corrected, cluster volume of 824 mm3). We did not have sufficient data to evaluate response inhibition experiments separately. CONCLUSION Findings of abnormal brain activation in OCD from different inhibitory control tasks do not appear to converge on the same brain regions, but the dACC may be implicated in abnormal cognitive inhibition. Our findings highlight a need for experiments that specifically target subprocesses of inhibitory control to achieve a more differentiated understanding of the neural correlates for impaired inhibitory control in OCD.
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Affiliation(s)
- Valdemar Funch Uhre
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark,Department of Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Denmark,Child and Adolescent Mental Health Centre, Mental Health Services, Denmark,Corresponding author at: Danish Research Centre for Magnetic Resonance (DRCMR), section 714, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital – Amager and Hvidovre, Kettegård Allé 30, 2650 Hvidovre, Denmark.
| | - Kit Melissa Larsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark,Child and Adolescent Mental Health Centre, Mental Health Services, Denmark
| | - Damian Marc Herz
- MRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, UK,Department of Neurology, Section Movement Disorders and Neurostimulation, University Hospital, Johannes Gutenberg University, Mainz, Germany
| | - William Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Anne Katrine Pagsberg
- Department of Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Denmark,Child and Adolescent Mental Health Centre, Mental Health Services, Denmark
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark,Department of Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Denmark,Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
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11
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Grützmann R, Klawohn J, Elsner B, Reuter B, Kaufmann C, Riesel A, Bey K, Heinzel S, Kathmann N. Error-related activity of the sensorimotor network contributes to the prediction of response to cognitive-behavioral therapy in obsessive-compulsive disorder. Neuroimage Clin 2022; 36:103216. [PMID: 36208547 PMCID: PMC9668595 DOI: 10.1016/j.nicl.2022.103216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Although cognitive behavioral therapy is a highly effective treatment for obsessive-compulsive disorder (OCD), yielding large symptom reductions on the group level, individual treatment response varies considerably. Identification of treatment response predictors may provide important information for maximizing individual treatment response and thus achieving efficient treatment resource allocation. Here, we investigated the predictive value of previously identified biomarkers of OCD, namely the error-related activity of the supplementary motor area (SMA) and the sensorimotor network (SMN, postcentral gyrus/precuneus). METHODS Seventy-two participants with a primary diagnosis of OCD underwent functional magnetic resonance imaging (fMRI) scanning while performing a flanker task prior to receiving routine-care CBT. RESULTS Error-related BOLD response of the SMN significantly contributed to the prediction of treatment response beyond the variance accounted for by clinical and sociodemographic variables. Stronger error-related SMN activity at baseline was associated with a higher likelihood of treatment response. CONCLUSIONS The present results illustrate that the inclusion of error-related SMN activity can significantly increase treatment response prediction quality in OCD. Stronger error-related activity of the SMN may reflect the ability to activate symptom-relevant processing networks and may thus facilitate response to exposure-based CBT interventions.
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Affiliation(s)
- Rosa Grützmann
- Humboldt-Universität zu Berlin, Department of Psychology, Germany; MSB Medical School Berlin, Department of Psychology, Germany.
| | - Julia Klawohn
- Humboldt-Universität zu Berlin, Department of Psychology, Germany; MSB Medical School Berlin, Department of Medicine, Germany
| | - Björn Elsner
- Humboldt-Universität zu Berlin, Department of Psychology, Germany
| | - Benedikt Reuter
- Humboldt-Universität zu Berlin, Department of Psychology, Germany; MSB Medical School Berlin, Department of Medicine, Germany
| | | | - Anja Riesel
- Humboldt-Universität zu Berlin, Department of Psychology, Germany; Universität Hamburg, Department of Psychology, Germany
| | - Katharina Bey
- University Hospital Bonn, Department of Psychiatry and Psychotherapy, Germany
| | - Stephan Heinzel
- Humboldt-Universität zu Berlin, Department of Psychology, Germany; Freie Universität Berlin, Department of Education and Psychology, Germany
| | - Norbert Kathmann
- Humboldt-Universität zu Berlin, Department of Psychology, Germany
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12
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Hezel DM, Rapp AM, Glasgow S, Cridland G, Blair Simpson H. Year of Zoom in a Year of Doom: Lessons Learned Delivering ERP Remotely During the COVID-19 Pandemic. COGNITIVE AND BEHAVIORAL PRACTICE 2022; 30:263-272. [PMID: 35228790 PMCID: PMC8864948 DOI: 10.1016/j.cbpra.2021.12.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 12/26/2021] [Indexed: 11/03/2022]
Abstract
In response to the COVID-19 pandemic and consequential shutdown measures, many mental health professionals started providing therapy to patients exclusively via telehealth. Our research center, which specializes in studying and treating obsessive-compulsive disorder (OCD), historically has provided in-person exposure and response prevention (ERP) to adults with OCD, but shifted to telehealth during the pandemic. Unlike in other modes of talk therapy, ERP's emphasis on therapist-supervised exposures presented unique opportunities and challenges to delivering treatment entirely via a virtual platform. This paper provides case examples to illustrate lessons we learned delivering ERP exclusively via telehealth in New York from March 2020 through June 2021 and offers recommendations for future study and practice. Though we observed a number of drawbacks to fully remote ERP, we also discovered advantages to delivering ERP this way, meriting additional research attention.
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13
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Nelson TD, Brock RL, Yokum S, Tomaso CC, Savage CR, Stice E. Much Ado About Missingness: A Demonstration of Full Information Maximum Likelihood Estimation to Address Missingness in Functional Magnetic Resonance Imaging Data. Front Neurosci 2021; 15:746424. [PMID: 34658780 PMCID: PMC8514662 DOI: 10.3389/fnins.2021.746424] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 08/31/2021] [Indexed: 11/23/2022] Open
Abstract
The current paper leveraged a large multi-study functional magnetic resonance imaging (fMRI) dataset (N = 363) and a generated missingness paradigm to demonstrate different approaches for handling missing fMRI data under a variety of conditions. The performance of full information maximum likelihood (FIML) estimation, both with and without auxiliary variables, and listwise deletion were compared under different conditions of generated missing data volumes (i.e., 20, 35, and 50%). FIML generally performed better than listwise deletion in replicating results from the full dataset, but differences were small in the absence of auxiliary variables that correlated strongly with fMRI task data. However, when an auxiliary variable created to correlate r = 0.5 with fMRI task data was included, the performance of the FIML model improved, suggesting the potential value of FIML-based approaches for missing fMRI data when a strong auxiliary variable is available. In addition to primary methodological insights, the current study also makes an important contribution to the literature on neural vulnerability factors for obesity. Specifically, results from the full data model show that greater activation in regions implicated in reward processing (caudate and putamen) in response to tastes of milkshake significantly predicted weight gain over the following year. Implications of both methodological and substantive findings are discussed.
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Affiliation(s)
- Timothy D Nelson
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Rebecca L Brock
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Sonja Yokum
- Oregon Research Institute, Eugene, OR, United States
| | - Cara C Tomaso
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Cary R Savage
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Eric Stice
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
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14
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Cyr M, Pagliaccio D, Yanes-Lukin P, Goldberg P, Fontaine M, Rynn MA, Marsh R. Altered fronto-amygdalar functional connectivity predicts response to cognitive behavioral therapy in pediatric obsessive-compulsive disorder. Depress Anxiety 2021; 38:836-845. [PMID: 34157177 PMCID: PMC8328961 DOI: 10.1002/da.23187] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 04/29/2021] [Accepted: 05/22/2021] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Based on findings from adults with obsessive-compulsive disorder (OCD), this study examined alterations in resting-state functional connectivity (rs-fc) between the basolateral amygdala (BLA) and the ventromedial prefrontal cortex (vmPFC) in children and adolescents with OCD. We also assessed whether such BLA-vmPFC connectivity changed with or predicted response to exposure and response prevention (E/RP), the first-line treatment for pediatric OCD, given the involvement of these regions in fear processing, regulation, and extinction learning-a probable mechanism of action of E/RP. METHODS Resting state functional magnetic resonance imaging scans were acquired from 25 unmedicated, treatment-naïve pediatric patients with OCD (12.8 ± 2.9 years) and 23 age- and sex-matched healthy controls (HCs; 11.0 ± 3.3 years). Patients completed a 12-16-week E/RP intervention for OCD. Participants were rescanned after the 12-16-week period. ANCOVAs tested group differences in baseline rs-fc. Cross-lagged panel models examined relationships between BLA-vmPFC rs-fc and OCD symptoms pre- and posttreatment. All tests were adjusted for participants' age, sex, and head motion. RESULTS Right BLA-vmPFC rs-fc was significantly reduced (more negative) in patients with OCD relative to HCs at baseline, and increased following treatment. In patients, more positive (less negative) right BLA-vmPFC rs-fc pretreatment predicted greater OCD symptoms reduction posttreatment. Changes in BLA-vmPFC rs-fc was unassociated with change in OCD symptoms pre- to posttreatment. CONCLUSIONS These results provide further evidence of the BLA-vmPFC pathway as a potential target for novel treatments or prevention strategies aimed at facilitating adaptive learning and fear extinction in children with OCD or subclinical OCD symptoms.
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Affiliation(s)
- Marilyn Cyr
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - David Pagliaccio
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Paula Yanes-Lukin
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Pablo Goldberg
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Martine Fontaine
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Moira A. Rynn
- Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Rachel Marsh
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
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15
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Shi TC, Pagliaccio D, Cyr M, Simpson HB, Marsh R. Network-based functional connectivity predicts response to exposure therapy in unmedicated adults with obsessive-compulsive disorder. Neuropsychopharmacology 2021; 46:1035-1044. [PMID: 33446895 PMCID: PMC8115173 DOI: 10.1038/s41386-020-00929-9] [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: 08/12/2020] [Revised: 10/30/2020] [Accepted: 11/20/2020] [Indexed: 02/07/2023]
Abstract
Obsessive-compulsive disorder (OCD) is associated with alterations in cortico-striato-thalamo-cortical brain networks, but some resting-state functional magnetic resonance imaging studies report more diffuse alterations in brain connectivity. Few studies have assessed functional connectivity within or between networks across the whole brain in unmedicated OCD patients or how patterns of connectivity predict response to exposure and ritual prevention (EX/RP) therapy, a first-line treatment for OCD. Herein, multiband resting-state functional MRI scans were collected from unmedicated, adult patients with OCD (n = 41) and healthy participants (n = 36); OCD patients were then offered twice weekly EX/RP (17 sessions). A whole-brain-network-based statistic approach was used to identify group differences in resting-state connectivity. We detected altered pre-treatment functional connectivity between task-positive regions in the temporal gyri (middle and superior) and regions of the cingulo-opercular and default networks in individuals with OCD. Signal extraction was performed using a reconstruction independent components analysis and isolated two independent subcomponents (IC1 and IC2) within this altered connectivity. In the OCD group, linear mixed-effects models tested whether IC1 or IC2 values predicted the slope of change in Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) scores across EX/RP treatment. Lower (more different from controls) IC2 score significantly predicted greater symptom reduction with EX/RP (Bonferroni-corrected p = 0.002). Collectively, these findings suggest that an altered balance between task-positive and task-negative regions centered around temporal gyri may contribute to difficulty controlling intrusive thoughts or urges to perform ritualistic behaviors.
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Affiliation(s)
- Tracey C. Shi
- grid.413734.60000 0000 8499 1112Department of Psychiatry, New York State Psychiatric Institute, 1051 Riverside Drive, Unit 74, New York, NY 10032 USA ,grid.21729.3f0000000419368729Department of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, Unit 74, New York, NY 10032 USA
| | - David Pagliaccio
- grid.413734.60000 0000 8499 1112Department of Psychiatry, New York State Psychiatric Institute, 1051 Riverside Drive, Unit 74, New York, NY 10032 USA
| | - Marilyn Cyr
- grid.413734.60000 0000 8499 1112Department of Psychiatry, New York State Psychiatric Institute, 1051 Riverside Drive, Unit 74, New York, NY 10032 USA
| | - H. Blair Simpson
- grid.413734.60000 0000 8499 1112Department of Psychiatry, New York State Psychiatric Institute, 1051 Riverside Drive, Unit 74, New York, NY 10032 USA ,grid.21729.3f0000000419368729Department of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, Unit 74, New York, NY 10032 USA
| | - Rachel Marsh
- grid.413734.60000 0000 8499 1112Department of Psychiatry, New York State Psychiatric Institute, 1051 Riverside Drive, Unit 74, New York, NY 10032 USA ,grid.21729.3f0000000419368729Department of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Drive, Unit 74, New York, NY 10032 USA
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16
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Fitzgerald KD, Schroder HS, Marsh R. Cognitive Control in Pediatric Obsessive-Compulsive and Anxiety Disorders: Brain-Behavioral Targets for Early Intervention. Biol Psychiatry 2021; 89:697-706. [PMID: 33454049 PMCID: PMC8353584 DOI: 10.1016/j.biopsych.2020.11.012] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 10/19/2020] [Accepted: 11/03/2020] [Indexed: 12/18/2022]
Abstract
The DSM provides distinct criteria for obsessive-compulsive disorder (OCD) and various types of anxiety disorders, but phenomenological overlap, high rates of comorbidity, and early onset suggest common underlying mechanisms. This notion is further supported by use of the same treatments-cognitive behavioral therapy and serotonin reuptake inhibitor medication-for managing both OCD and non-OCD anxiety disorders in clinical settings. While early intervention with these gold standard treatments is recommended for pediatric OCD and anxiety disorders, young patients often remain symptomatic even after treatment. To guide the development of novel, mechanistically targeted treatments to better resolve OCD and anxiety symptoms, the identification of neural circuits underlying psychological constructs with relevance across disorders has been recommended. One construct that may be relevant for understanding pediatric OCD and anxiety disorders is cognitive control, given the difficulty that young patients experience in dismissing obsessions, compulsions, and worry despite recognition that these symptoms are excessive and unreasonable. In this review, we examine findings from a growing body of literature implicating brain-behavioral markers of cognitive control in pediatric OCD and anxiety disorders, including before and after treatment. We conclude by suggesting that interventions designed to enhance the functioning of the task control circuits underlying cognitive control may facilitate brain maturation to help affected youth overcome symptoms.
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Affiliation(s)
- Kate D Fitzgerald
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan.
| | - Hans S Schroder
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan; Center for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, Michigan
| | - Rachel Marsh
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, New York; Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
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17
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Williams NR, Sudheimer KD, Cole EJ, Varias AD, Goldstein-Piekarski AN, Stetz P, Lombardi A, Filippou-Frye M, van Roessel P, Anderson K, McCarthy EA, Wright B, Sandhu T, Menon S, Jo B, Koran L, Williams LM, Rodriguez CI. Accelerated neuromodulation therapy for Obsessive-Compulsive Disorder. Brain Stimul 2021; 14:435-437. [PMID: 33631349 DOI: 10.1016/j.brs.2021.02.013] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 02/18/2021] [Accepted: 02/18/2021] [Indexed: 01/17/2023] Open
Affiliation(s)
- Nolan R Williams
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
| | - Keith D Sudheimer
- Department of Anatomy, Southern Illinois University School of Medicine, Carbondale, IL, USA
| | - Eleanor J Cole
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Andrea D Varias
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Andrea N Goldstein-Piekarski
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA; Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Patrick Stetz
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Anthony Lombardi
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Maria Filippou-Frye
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Peter van Roessel
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA; Mental Illness Research, Education, and Clinical Center (MIRECC), VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Kelley Anderson
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Elizabeth A McCarthy
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Brianna Wright
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Thasveen Sandhu
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Sindu Menon
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Booil Jo
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Lorrin Koran
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Leanne M Williams
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Mental Illness Research, Education, and Clinical Center (MIRECC), VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Carolyn I Rodriguez
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
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18
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Abstract
In the last 20 years, functional magnetic resonance imaging (fMRI) has been extensively used to investigate system-level abnormalities in the brain of patients with obsessive-compulsive disorder (OCD). In this chapter, we start by reviewing the studies assessing regional brain differences between patients with OCD and healthy controls in task-based fMRI. Specifically, we review studies on executive functioning and emotional processing, protocols in which these patients have been described to show alterations at the behavioral level, as well as research using symptom provocation protocols. Next, we review studies on brain connectivity alterations, focusing on resting-state studies evaluating disruptions in fronto-subcortical functional connectivity and in cortical networks. Likewise, we also review research on effective connectivity, which, different from functional connectivity, allows for ascertaining the directionality of inter-regional connectivity alterations. We conclude by reviewing the most significant findings on a topic of translational impact, such as the use of different fMRI measurements to predict response across a variety of treatment approaches. Overall, results suggest that there exists a pattern of regions, involving, but not limited to, different nodes of the cortico-striatal-thalamo-cortical circuits, showing robust evidence of functional alteration across studies, although the nature of the alterations critically depends on the specific tasks and their particular demands. Moreover, such findings have been, to date, poorly translated into clinical practice. It is suggested that this may be partially accounted for by the difficulty to integrate into a common framework results obtained under a wide variety of analysis approaches.
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Affiliation(s)
- Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, Barcelona, Spain. .,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain. .,Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain.
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19
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Norman LJ, Mannella KA, Yang H, Angstadt M, Abelson JL, Himle JA, Fitzgerald KD, Taylor SF. Treatment-Specific Associations Between Brain Activation and Symptom Reduction in OCD Following CBT: A Randomized fMRI Trial. Am J Psychiatry 2021; 178:39-47. [PMID: 32854533 PMCID: PMC8528223 DOI: 10.1176/appi.ajp.2020.19080886] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The authors sought to examine whether brain activity is associated with treatment response to cognitive-behavioral therapy (CBT) in adolescents and adults with obsessive-compulsive disorder (OCD), and whether any associations are treatment specific relative to an active control psychotherapy (stress management therapy; SMT). METHODS Eighty-seven patients with OCD (age range 12-45 years; 57 female, 39 medicated) were randomly assigned to receive 12 weeks of CBT or SMT. Prior to treatment, functional MRI scans were conducted in patients performing an incentive flanker task, which probes brain activation to both cognitive control and reward processing. Voxelwise linear mixed-effects models examined whether baseline brain activation was differentially associated with change in scores on the Yale-Brown Obsessive Compulsive Scale (standard or Children's version) over the course of CBT or SMT treatment. RESULTS Within the CBT group, a better treatment response was significantly associated with greater pretreatment activation within the right temporal lobe and rostral anterior cingulate cortex during cognitive control and within the ventromedial prefrontal, orbitofrontal, lateral prefrontal, and amygdala regions during reward processing. In contrast, reduced pretreatment activation within a largely overlapping set of regions was significantly associated with a better treatment response to SMT. CONCLUSIONS The study findings demonstrate that associations between brain activation and treatment response were treatment specific to CBT relative to a control psychotherapy and that these associations were stable from adolescence to mature adulthood. Such treatment-specific associations are important for the development of biomarkers to personalize treatment in OCD.
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Affiliation(s)
- Luke J. Norman
- Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, USA.,Neurobehavioral Clinical Research Section, Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, 20892, USA
| | - Kristin A. Mannella
- Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, USA
| | - Huan Yang
- Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, USA.,The Second Xiangya Hospital, Central South University, Changsha, China
| | - Mike Angstadt
- Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, USA
| | - James L. Abelson
- Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, USA
| | - Joseph A. Himle
- Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, USA
| | - Kate D. Fitzgerald
- Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, USA
| | - Stephan F. Taylor
- Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, USA
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20
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Pagliaccio D, Cha J, He X, Cyr M, Yanes-Lukin P, Goldberg P, Fontaine M, Rynn MA, Marsh R. Structural neural markers of response to cognitive behavioral therapy in pediatric obsessive-compulsive disorder. J Child Psychol Psychiatry 2020; 61:1299-1308. [PMID: 31889307 PMCID: PMC7326644 DOI: 10.1111/jcpp.13191] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/02/2019] [Indexed: 12/30/2022]
Abstract
BACKGROUND Cognitive behavioral therapy (CBT) is an effective, first-line treatment for pediatric obsessive-compulsive disorder (OCD). While neural predictors of treatment outcomes have been identified in adults with OCD, robust predictors are lacking for pediatric patients. Herein, we sought to identify brain structural markers of CBT response in youth with OCD. METHODS Twenty-eight children/adolescents with OCD and 27 matched healthy participants (7- to 18-year-olds, M = 11.71 years, SD = 3.29) completed high-resolution structural and diffusion MRI (all unmedicated at time of scanning). Patients with OCD then completed 12-16 sessions of CBT. Subcortical volume and cortical thickness were estimated using FreeSurfer. Structural connectivity (streamline counts) was estimated using MRtrix. RESULTS Thinner cortex in nine frontoparietal regions significantly predicted improvement in Children's Yale-Brown Obsessive-Compulsive Scale (CY-BOCS) scores (all ts > 3.4, FDR-corrected ps < .05). These included middle and superior frontal, angular, lingual, precentral, superior temporal, and supramarginal gyri (SMG). Vertex-wise analyses confirmed a significant left SMG cluster, showing large effect size (Cohen's d = 1.42) with 72.22% specificity and 90.00% sensitivity in predicting CBT response. Ten structural connections between cingulo-opercular regions exhibited fewer streamline counts in OCD (all ts > 3.12, Cohen's ds > 0.92) compared with healthy participants. These connections predicted post-treatment CY-BOCS scores, beyond pretreatment severity and demographics, though not above and beyond cortical thickness. CONCLUSIONS The current study identified group differences in structural connectivity (reduced among cingulo-opercular regions) and cortical thickness predictors of CBT response (thinner frontoparietal cortices) in unmedicated children/adolescents with OCD. These data suggest, for the first time, that cortical and white matter features of task control circuits may be useful in identifying which pediatric patients respond best to individual CBT.
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Affiliation(s)
- David Pagliaccio
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Jiook Cha
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Xiaofu He
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Marilyn Cyr
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Paula Yanes-Lukin
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Pablo Goldberg
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Martine Fontaine
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Moira A. Rynn
- Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Rachel Marsh
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
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