Connectome-wide Functional Connectivity Abnormalities in Youth With Obsessive-Compulsive Symptoms

Aaron F. Alexander-Bloch1,2,3, Rahul Sood2, Russell T. Shinohara4,5,6, Tyler M. Moore2,3, Monica E. Calkins2,3, Casey Chertavian2, Daniel H. Wolf2, Ruben C. Gur2,3, Theodore D. Satterthwaite2,7,3, Raquel E. Gur1,2,3, Ran Barzilay1,2,3
1Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
2Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
3CHOP/Penn Lifespan Brain Institute, University of Pennsylvania, Philadelphia, Pennsylvania
4Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
5Penn Statistics in Imaging and Visualization Center, University of Pennsylvania, Philadelphia, Pennsylvania
6Penn Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania
7Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, Pennsylvania

Tài liệu tham khảo

Alvarenga, 2016, Obsessive–compulsive symptoms are associated with psychiatric comorbidities, behavioral and clinical problems: A population-based study of Brazilian school children, Eur Child Adolesc Psychiatry, 25, 175, 10.1007/s00787-015-0723-3 Apter, 1996, Obsessive-compulsive characteristics: From symptoms to syndrome, J Am Acad Child Adolesc Psychiatry, 35, 907, 10.1097/00004583-199607000-00016 Fullana, 2009, Obsessions and compulsions in the community: Prevalence, interference, help-seeking, developmental stability, and co-occurring psychiatric conditions, Am J Psychiatry, 166, 329, 10.1176/appi.ajp.2008.08071006 2013 Barzilay, 2019, Obsessive-compulsive symptomatology in community youth: Typical development or a red flag for psychopathology?, J Am Acad Child Adolesc Psychiatry, 58, 277, 10.1016/j.jaac.2018.06.038 Weeland, 2021, Brain morphology associated with obsessive-compulsive symptoms in 2,551 children from the general population, J Am Acad Child Adolesc Psychiatry, 60, 470, 10.1016/j.jaac.2020.03.012 Pagliaccio, 2021, Obsessive-compulsive symptoms among children in the adolescent brain and cognitive development study: Clinical, cognitive, and brain connectivity correlates, Biol Psychiatry Cogn Neurosci Neuroimaging, 6, 399 Harrison, 2009, Altered corticostriatal functional connectivity in obsessive-compulsive disorder, Arch Gen Psychiatry, 66, 1189, 10.1001/archgenpsychiatry.2009.152 Menzies, 2008, Integrating evidence from neuroimaging and neuropsychological studies of obsessive-compulsive disorder: The orbitofronto-striatal model revisited, Neurosci Biobehav Rev, 32, 525, 10.1016/j.neubiorev.2007.09.005 Saxena, 1998, Neuroimaging and frontal-subcortical circuitry in obsessive-compulsive disorder, Br J Psychiatry, Suppl, 26, 10.1192/S0007125000297870 Menon, 2011, Large-scale brain networks and psychopathology: A unifying triple network model, Trends Cogn Sci, 15, 483, 10.1016/j.tics.2011.08.003 Gonçalves, 2017, Patterns of default mode network deactivation in obsessive compulsive disorder, Sci Rep, 7, 44468, 10.1038/srep44468 Posner, 2014, Reduced functional connectivity within the limbic cortico-striato-thalamo-cortical loop in unmedicated adults with obsessive-compulsive disorder, Hum Brain Mapp, 35, 2852, 10.1002/hbm.22371 Stern, 2012, Resting-state functional connectivity between fronto-parietal and default mode networks in obsessive-compulsive disorder, PLoS One, 7, 10.1371/journal.pone.0036356 Zhu, 2016, Altered intrinsic insular activity predicts symptom severity in unmedicated obsessive-compulsive disorder patients: A resting state functional magnetic resonance imaging study, BMC Psychiatry, 16, 104, 10.1186/s12888-016-0806-9 Hou, 2013, Morphologic and functional connectivity alterations of corticostriatal and default mode network in treatment-naïve patients with obsessive-compulsive disorder, PLoS One, 8, 10.1371/journal.pone.0083931 Beucke, 2014, Default mode network subsystem alterations in obsessive–compulsive disorder, Br J Psychiatry, 205, 376, 10.1192/bjp.bp.113.137380 Gürsel, 2018, Frontoparietal areas link impairments of large-scale intrinsic brain networks with aberrant fronto-striatal interactions in OCD: A meta-analysis of resting-state functional connectivity, Neurosci Biobehav Rev, 87, 151, 10.1016/j.neubiorev.2018.01.016 Shin, 2014, The effects of pharmacological treatment on functional brain connectome in obsessive-compulsive disorder, Biol Psychiatry, 75, 606, 10.1016/j.biopsych.2013.09.002 Zhang, 2011, Abnormal small-world architecture of top–down control networks in obsessive–compulsive disorder, J Psychiatry Neurosci, 36, 23, 10.1503/jpn.100006 Anticevic, 2014, Global resting-state functional magnetic resonance imaging analysis identifies frontal cortex, striatal, and cerebellar dysconnectivity in obsessive-compulsive disorder, Biol Psychiatry, 75, 595, 10.1016/j.biopsych.2013.10.021 Fair, 2009, Functional brain networks develop from a “local to distributed” organization, PLoS Comput Biol, 5, 10.1371/journal.pcbi.1000381 Gu, 2015, Emergence of system roles in normative neurodevelopment, Proc Natl Acad Sci U S A, 112, 13681, 10.1073/pnas.1502829112 Dosenbach, 2010, Prediction of individual brain maturity using fMRI, Science, 329, 1358, 10.1126/science.1194144 Satterthwaite, 2013, Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth, Neuroimage, 83, 45, 10.1016/j.neuroimage.2013.06.045 Sen, 2020, Sub-graph entropy based network approaches for classifying adolescent obsessive-compulsive disorder from resting-state functional MRI, Neuroimage Clin, 26, 102208, 10.1016/j.nicl.2020.102208 Armstrong, 2016, Graph-theoretical analysis of resting-state fMRI in pediatric obsessive-compulsive disorder, J Affect Disord, 193, 175, 10.1016/j.jad.2015.12.071 Cyr, 2020, Altered network connectivity predicts response to cognitive-behavioral therapy in pediatric obsessive-compulsive disorder, Neuropsychopharmacology, 45, 1232, 10.1038/s41386-020-0613-3 Calkins, 2015, The Philadelphia Neurodevelopmental Cohort: Constructing a deep phenotyping collaborative, J Child Psychol Psychiatry, 56, 1356, 10.1111/jcpp.12416 Satterthwaite, 2014, Neuroimaging of the Philadelphia neurodevelopmental cohort, Neuroimage, 86, 544, 10.1016/j.neuroimage.2013.07.064 Xia, 2018, Linked dimensions of psychopathology and connectivity in functional brain networks, Nat Commun, 9, 3003, 10.1038/s41467-018-05317-y Carp, 2012, On the plurality of (methodological) worlds: Estimating the analytic flexibility of fMRI experiments, Front Neurosci, 6, 149, 10.3389/fnins.2012.00149 Botvinik-Nezer, 2020, Variability in the analysis of a single neuroimaging dataset by many teams, Nature, 582, 84, 10.1038/s41586-020-2314-9 Pan, 2014, A powerful and adaptive association test for rare variants, Genetics, 197, 1081, 10.1534/genetics.114.165035 Zalesky, 2010, Network-based statistic: Identifying differences in brain networks, Neuroimage, 53, 1197, 10.1016/j.neuroimage.2010.06.041 Yeo, 2011, The organization of the human cerebral cortex estimated by intrinsic functional connectivity, J Neurophysiol, 106, 1125, 10.1152/jn.00338.2011 Moore, 2016, Characterizing social environment’s association with neurocognition using census and crime data linked to the Philadelphia Neurodevelopmental Cohort, Psychol Med, 46, 599, 10.1017/S0033291715002111 Canavera, 2009, Parent-child agreement in the assessment of obsessive-compulsive disorder, J Clin Child Adolesc Psychol, 38, 909, 10.1080/15374410903258975 Rothen, 2009, Parent-child agreement and prevalence estimates of diagnoses in childhood: Direct interview versus family history method, Int J Methods Psychiatr Res, 18, 96, 10.1002/mpr.281 Kaufman, 1997, Schedule for affective disorders and schizophrenia for school-age children-present and lifetime version (K-SADS-PL): Initial reliability and validity data, J Am Acad Child Adolesc Psychiatry, 36, 980, 10.1097/00004583-199707000-00021 Caspi, 2014, The p factor: One general psychopathology factor in the structure of psychiatric disorders?, Clin Psychol Sci, 2, 119, 10.1177/2167702613497473 Lahey, 2012, Is there a general factor of prevalent psychopathology during adulthood?, J Abnorm Psychol, 121, 971, 10.1037/a0028355 Allegrini, 2020, The p factor: Genetic analyses support a general dimension of psychopathology in childhood and adolescence, J Child Psychol Psychiatry, 61, 30, 10.1111/jcpp.13113 Moore, 2019, Development of a computerized adaptive screening tool for overall psychopathology (“p”), J Psychiatr Res, 116, 26, 10.1016/j.jpsychires.2019.05.028 Jenkinson, 2012, FSL. Neuroimage, 62, 782, 10.1016/j.neuroimage.2011.09.015 Cox, 1996, AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages, Comput Biomed Res, 29, 162, 10.1006/cbmr.1996.0014 Greve, 2009, Accurate and robust brain image alignment using boundary-based registration, Neuroimage, 48, 63, 10.1016/j.neuroimage.2009.06.060 Tustison, 2014, Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements, Neuroimage, 99, 166, 10.1016/j.neuroimage.2014.05.044 Schaefer, 2018, Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI, Cereb Cortex, 28, 3095, 10.1093/cercor/bhx179 Avants, 2011, An open source multivariate framework for n-tissue segmentation with evaluation on public data, Neuroinformatics, 9, 381, 10.1007/s12021-011-9109-y Avants, 2011, A reproducible evaluation of ANTs similarity metric performance in brain image registration, NeuroImage, 54, 2033, 10.1016/j.neuroimage.2010.09.025 Tustison, 2010, N4ITK: Improved N3 bias correction, IEEE Trans Med Imaging, 29, 1310, 10.1109/TMI.2010.2046908 Klein, 2010, Evaluation of volume-based and surface-based brain image registration methods, Neuroimage, 51, 214, 10.1016/j.neuroimage.2010.01.091 Das, 2009, Registration based cortical thickness measurement, Neuroimage, 45, 867, 10.1016/j.neuroimage.2008.12.016 Jenkinson, 2002, Improved optimization for the robust and accurate linear registration and motion correction of brain images, Neuroimage, 17, 825, 10.1006/nimg.2002.1132 Smith, 1997, SUSAN—A new approach to low level image processing, Int J Comput Vis, 23, 45, 10.1023/A:1007963824710 Smith, 2002, Fast robust automated brain extraction, Hum Brain Mapp, 17, 143, 10.1002/hbm.10062 Kim, 2014, Comparison of statistical tests for group differences in brain functional networks, Neuroimage, 101, 681, 10.1016/j.neuroimage.2014.07.031 Pan, 2015, A powerful pathway-based adaptive test for genetic association with common or rare variants, Am J Hum Genet, 97, 86, 10.1016/j.ajhg.2015.05.018 Zalesky, 2012, Connectivity differences in brain networks, Neuroimage, 60, 1055, 10.1016/j.neuroimage.2012.01.068 Gu, 2014, circlize implements and enhances circular visualization in R, Bioinformatics, 30, 2811, 10.1093/bioinformatics/btu393 Fitzgerald, 2011, Developmental alterations of frontal-striatal-thalamic connectivity in obsessive-compulsive disorder, J Am Acad Child Adolesc Psychiatry, 50, 938, 10.1016/j.jaac.2011.06.011 Bernstein, 2016, Abnormal striatal resting-state functional connectivity in adolescents with obsessive–compulsive disorder, Psychiatry Res Neuroimaging, 247, 49, 10.1016/j.pscychresns.2015.11.002 Weber, 2014, A preliminary study of functional connectivity of medication naïve children with obsessive–compulsive disorder, Prog Neuropsychopharmacol Biol Psychiatry, 53, 129, 10.1016/j.pnpbp.2014.04.001 Buckner, 2008, The brain’s default network: Anatomy, function, and relevance to disease, Ann N Y Acad Sci, 1124, 1, 10.1196/annals.1440.011 Raichle, 2015, The brain’s default mode network, Annu Rev Neurosci, 38, 433, 10.1146/annurev-neuro-071013-014030 Prabhu, 2012, Symptom dimensions in OCD and their association with clinical characteristics and comorbid disorders., Obsessive Compuls Relat Disord, 2, 14, 10.1016/j.jocrd.2012.10.002 McKay, 2006, The structure of childhood obsessions and compulsions: Dimensions in an outpatient sample, Behav Res Ther, 44, 137, 10.1016/j.brat.2005.02.001 Ruscio, 2010, The epidemiology of obsessive-compulsive disorder in the National comorbidity Survey Replication, Mol Psychiatry, 15, 53, 10.1038/mp.2008.94 Stewart, 2008, Four-factor structure of obsessive-compulsive disorder symptoms in children, adolescents, and adults, J Am Acad Child Adolesc Psychiatry, 47, 763, 10.1097/CHI.0b013e318172ef1e Scahill, 1997, Children’s Yale-Brown Obsessive Compulsive Scale: Reliability and validity, J Am Acad Child Adolesc Psychiatry, 36, 844, 10.1097/00004583-199706000-00023 Mowinckel, 2019, Visualisation of brain statistics with R-packages ggseg and ggseg3d, arXiv