Smaller Regional Brain Volumes Predict Posttraumatic Stress Disorder at 3 Months After Mild Traumatic Brain Injury

Murray B. Stein1,2,3, Esther Yuh4,5, Sonia Jain2, David O. Okonkwo6, Christine L. Mac Donald7, Harvey Levin8, Joseph T. Giacino9,10, Sureyya Dikmen7, Mary J. Vassar11,12, Ramon Diaz-Arrastia13, Claudia S. Robertson8, Lindsay D. Nelson14,15, Michael McCrea14,15, Xiaoying Sun2, Nancy Temkin7, Sabrina R. Taylor11,12, Amy J. Markowitz12, Geoffrey T. Manley11,12, Pratik Mukherjee4,5
1Department of Psychiatry, University of California, San Diego, La Jolla, California
2Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California
3VA San Diego Healthcare System, San Diego, California
4Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
5Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California
6Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
7Department of Neurological Surgery, University of Washington, Seattle, Washington
8Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
9Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
10Spaulding Rehabilitation Hospital, Charlestown, Massachusetts
11Department of Neurological Surgery, University of California San Francisco, San Francisco, California
12Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
13Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania
14Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin
15Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin

Tài liệu tham khảo

Atwoli, 2015, Epidemiology of posttraumatic stress disorder: Prevalence, correlates and consequences, Curr Opin Psychiatry, 28, 307, 10.1097/YCO.0000000000000167 Daskalakis, 2018, Recent genetics and epigenetics approaches to PTSD, Curr Psychiatry Rep, 20, 30, 10.1007/s11920-018-0898-7 Kunimatsu, 2020, MRI findings in posttraumatic stress disorder, J Magn Reson Imaging, 52, 380, 10.1002/jmri.26929 Gurvits, 1996, Magnetic resonance imaging study of hippocampal volume in chronic, combat-related posttraumatic stress disorder, Biol Psychiatry, 40, 1091, 10.1016/S0006-3223(96)00229-6 Chen, 2018, Smaller hippocampal CA1 subfield volume in posttraumatic stress disorder, Depress Anxiety, 35, 1018, 10.1002/da.22833 Logue, 2018, Smaller hippocampal volume in posttraumatic stress disorder: A multisite ENIGMA-PGC study: Subcortical volumetry results from posttraumatic stress disorder consortia, Biol Psychiatry, 83, 244, 10.1016/j.biopsych.2017.09.006 Woodward, 2009, Smaller global and regional cortical volume in combat-related posttraumatic stress disorder, Arch Gen Psychiatry, 66, 1373, 10.1001/archgenpsychiatry.2009.160 Wrocklage, 2017, Cortical thickness reduction in combat exposed U.S. veterans with and without PTSD, Eur Neuropsychopharmacol, 27, 515, 10.1016/j.euroneuro.2017.02.010 Carlson, 2011, Prevalence, assessment, and treatment of mild traumatic brain injury and posttraumatic stress disorder: A systematic review of the evidence, J Head Trauma Rehabil, 26, 103, 10.1097/HTR.0b013e3181e50ef1 Kaplan, 2018, Pathophysiological bases of comorbidity: Traumatic brain injury and post-traumatic stress disorder, J Neurotrauma, 35, 210, 10.1089/neu.2016.4953 Stein, 2015, Prospective longitudinal evaluation of the effect of deployment-acquired traumatic brain injury on posttraumatic stress and related disorders: Results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS), Am J Psychiatry, 172, 1101, 10.1176/appi.ajp.2015.14121572 Stein, 2009, Exploring the convergence of posttraumatic stress disorder and mild traumatic brain injury, Am J Psychiatry, 166, 768, 10.1176/appi.ajp.2009.08101604 Albrecht, 2020, Incidence of new neuropsychiatric disorder diagnoses following traumatic brain injury, J Head Trauma Rehabil, 35, E352, 10.1097/HTR.0000000000000551 Stein, 2019, Risk of posttraumatic stress disorder and major depression in civilian patients after mild traumatic brain injury: A TRACK-TBI study, JAMA Psychiatry, 76, 249, 10.1001/jamapsychiatry.2018.4288 Dickie, 2013, Anterior cingulate cortical thickness is a stable predictor of recovery from post-traumatic stress disorder, Psychol Med, 43, 645, 10.1017/S0033291712001328 Lopez, 2017, Brain volume, connectivity, and neuropsychological performance in mild traumatic brain injury: The impact of post-traumatic stress disorder symptoms, J Neurotrauma, 34, 16, 10.1089/neu.2015.4323 Bovin, 2016, Psychometric properties of the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PCL-5) in veterans, Psychol Assess, 28, 1379, 10.1037/pas0000254 O’Doherty, 2015, A systematic review and meta-analysis of magnetic resonance imaging measurement of structural volumes in posttraumatic stress disorder, Psychiatry Res, 232, 1, 10.1016/j.pscychresns.2015.01.002 Pietrzak, 2015, Amygdala-hippocampal volume and the phenotypic heterogeneity of posttraumatic stress disorder: A cross-sectional study, JAMA Psychiatry, 72, 396, 10.1001/jamapsychiatry.2014.2470 Yue, 2013, Transforming research and clinical knowledge in traumatic brain injury pilot: Multicenter implementation of the common data elements for traumatic brain injury, J Neurotrauma, 30, 1831, 10.1089/neu.2013.2970 Teasdale, 1976, Assessment and prognosis of coma after head injury, Acta Neurochir (Wien), 34, 45, 10.1007/BF01405862 Jack, 2008, The Alzheimer’s Disease Neuroimaging Initiative (ADNI): MRI methods, J Magn Reson Imaging, 27, 685, 10.1002/jmri.21049 Ségonne, 2004, A hybrid approach to the skull stripping problem in MRI, Neuroimage, 22, 1060, 10.1016/j.neuroimage.2004.03.032 Fischl, 2002, Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain, Neuron, 33, 341, 10.1016/S0896-6273(02)00569-X Fischl, 2004, Automatically parcellating the human cerebral cortex, Cereb Cortex, 14, 11, 10.1093/cercor/bhg087 Sled, 1998, A nonparametric method for automatic correction of intensity nonuniformity in MRI data, IEEE Trans Med Imaging, 17, 87, 10.1109/42.668698 Fischl, 2001, Automated manifold surgery: Constructing geometrically accurate and topologically correct models of the human cerebral cortex, IEEE Trans Med Imaging, 20, 70, 10.1109/42.906426 Ségonne, 2007, Geometrically accurate topology-correction of cortical surfaces using nonseparating loops, IEEE Trans Med Imaging, 26, 518, 10.1109/TMI.2006.887364 Fischl, 2000, Measuring the thickness of the human cerebral cortex from magnetic resonance images, Proc Natl Acad Sci U S A, 97, 11050, 10.1073/pnas.200033797 Yuh, 2013, Magnetic resonance imaging improves 3-month outcome prediction in mild traumatic brain injury, Ann Neurol, 73, 224, 10.1002/ana.23783 Benjamini, 1995, Controlling the false discovery rate: A practical and powerful approach to multiple testing, J R Stat Soc B, 57, 289 Bolsinger, 2018, Neuroimaging correlates of resilience to traumatic events-A comprehensive review, Front Psychiatry, 9, 693, 10.3389/fpsyt.2018.00693 Stern, 2020, Whitepaper: Defining and investigating cognitive reserve, brain reserve, and brain maintenance, Alzheimers Dement, 16, 1305, 10.1016/j.jalz.2018.07.219 Kremen, 2007, Pretrauma cognitive ability and risk for posttraumatic stress disorder: A twin study, Arch Gen Psychiatry, 64, 361, 10.1001/archpsyc.64.3.361 Koenen, 2009, Childhood IQ and adult mental disorders: A test of the cognitive reserve hypothesis, Am J Psychiatry, 166, 50, 10.1176/appi.ajp.2008.08030343 Sørensen, 2016, The influence of pre-deployment cognitive ability on post-traumatic stress disorder symptoms and trajectories: The Danish USPER follow-up study of Afghanistan veterans, J Affect Disord, 196, 148, 10.1016/j.jad.2016.02.037 Polimanti, 2019, Association of economic status and educational attainment with posttraumatic stress disorder: A Mendelian randomization study, JAMA Netw Open, 2, 10.1001/jamanetworkopen.2019.3447 Akiki, 2018, Default mode network abnormalities in posttraumatic stress disorder: A novel network-restricted topology approach, Neuroimage, 176, 489, 10.1016/j.neuroimage.2018.05.005 Miller, 2017, Default mode network subsystems are differentially disrupted in posttraumatic stress disorder, Biol Psychiatry Cogn Neurosci Neuroimaging, 2, 363 King, 2016, Altered default mode network (DMN) resting state functional connectivity following a mindfulness-based exposure therapy for posttraumatic stress disorder (PTSD) in combat veterans of Afghanistan and Iraq, Depress Anxiety, 33, 289, 10.1002/da.22481 Koch, 2016, Aberrant resting-state brain activity in posttraumatic stress disorder: A meta-analysis and systematic review, Depress Anxiety, 33, 592, 10.1002/da.22478