Prognostic neuroimaging biomarkers of trauma-related psychopathology: resting-state fMRI shortly after trauma predicts future PTSD and depression symptoms in the AURORA study

[1]  S. Sponheim,et al.  Salience and central executive networks track overgeneralization of conditioned-fear in post-traumatic stress disorder , 2020, Psychological Medicine.

[2]  N. Harnett.  Neurobiological consequences of racial disparities and environmental risks: a critical gap in understanding psychiatric disorders , 2020, Neuropsychopharmacology.

[3]  K. Ressler,et al.  Investigation of optimal dose of early intervention to prevent posttraumatic stress disorder: A multiarm randomized trial of one and three sessions of modified prolonged exposure , 2020, Depression and anxiety.

[4]  C. Larson,et al.  Amygdala functional connectivity in the acute aftermath of trauma prospectively predicts severity of posttraumatic stress symptoms , 2020, Neurobiology of Stress.

[5]  Jared A. Rowland,et al.  Neural correlates of conceptual-level fear generalization in posttraumatic stress disorder , 2020, Neuropsychopharmacology.

[6]  K. Ressler,et al.  Nervous and Endocrine System Dysfunction in Posttraumatic Stress Disorder: An Overview and Consideration of Sex as a Biological Variable. , 2019, Biological psychiatry. Cognitive neuroscience and neuroimaging.

[7]  Ajay B. Satpute,et al.  The Default Mode Network’s Role in Discrete Emotion , 2019, Trends in Cognitive Sciences.

[8]  Daniel J Buysse,et al.  The AURORA Study: A Longitudinal, Multimodal Library of Brain Biology and Function after Traumatic Stress Exposure , 2019, Molecular Psychiatry.

[9]  P. Fox,et al.  Salience Network Disruption in U.S. Army Soldiers With Posttraumatic Stress Disorder , 2019, Chronic stress.

[10]  Danielle S Bassett,et al.  Motion artifact in studies of functional connectivity: Characteristics and mitigation strategies , 2019, Human brain mapping.

[11]  T. Jovanović,et al.  Impaired inhibition as an intermediate phenotype for PTSD risk and treatment response , 2019, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[12]  R. Kessler,et al.  Estimating the risk of PTSD in recent trauma survivors: results of the International Consortium to Predict PTSD (ICPP) , 2019, World psychiatry : official journal of the World Psychiatric Association.

[13]  Lynnette A. Averill,et al.  Reduced Salience and Enhanced Central Executive Connectivity Following PTSD Treatment , 2018, bioRxiv.

[14]  D. Knight,et al.  Trauma exposure acutely alters neural function during Pavlovian fear conditioning , 2018, Cortex.

[15]  G. Bonanno,et al.  Trajectories of resilience and dysfunction following potential trauma: A review and statistical evaluation. , 2018, Clinical psychology review.

[16]  Satrajit S. Ghosh,et al.  FMRIPrep: a robust preprocessing pipeline for functional MRI , 2018, Nature Methods.

[17]  Junhao Pan,et al.  Emotion Regulation and Complex Brain Networks: Association Between Expressive Suppression and Efficiency in the Fronto-Parietal Network and Default-Mode Network , 2018, Front. Hum. Neurosci..

[18]  K. Ressler.  Alpha-Adrenergic Receptors in PTSD - Failure or Time for Precision Medicine? , 2018, The New England journal of medicine.

[19]  Mascha van 't Wout-Frank,et al.  Network Mechanisms of Clinical Response to Transcranial Magnetic Stimulation in Posttraumatic Stress Disorder and Major Depressive Disorder , 2018, Biological Psychiatry.

[20]  A. Goodman,et al.  Pavlovian conditioned diminution of the neurobehavioral response to threat , 2018, Neuroscience & Biobehavioral Reviews.

[21]  Y. Neria,et al.  Resting-state functional connectivity of anterior and posterior hippocampus in posttraumatic stress disorder. , 2017, Journal of psychiatric research.

[22]  T. Jovanović,et al.  The Role of the Hippocampus in Predicting Future Posttraumatic Stress Disorder Symptoms in Recently Traumatized Civilians , 2017, Biological Psychiatry.

[23]  Teddy J. Akiki,et al.  A Network-Based Neurobiological Model of PTSD: Evidence From Structural and Functional Neuroimaging Studies , 2017, Current Psychiatry Reports.

[24]  Dustin Scheinost,et al.  Influences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility , 2017, Cerebral cortex.

[25]  B. Rothbaum,et al.  PTSD Psychotherapy Outcome Predicted by Brain Activation During Emotional Reactivity and Regulation. , 2017, The American journal of psychiatry.

[26]  Dan J Stein,et al.  Secondary Prevention of Chronic PTSD by Early and Short-Term Administration of Escitalopram: A Prospective Randomized, Placebo-Controlled, Double-Blind Trial. , 2017, The Journal of clinical psychiatry.

[27]  K. Ressler,et al.  Amygdala Reactivity and Anterior Cingulate Habituation Predict Posttraumatic Stress Disorder Symptom Maintenance After Acute Civilian Trauma , 2017, Biological Psychiatry.

[28]  Hao-Ting Wang,et al.  The role of the default mode network in component processes underlying the wandering mind , 2017, Social cognitive and affective neuroscience.

[29]  C. Beckmann,et al.  Using Dual Regression to Investigate Network Shape and Amplitude in Functional Connectivity Analyses , 2017, Front. Neurosci..

[30]  Wenbin Li,et al.  Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI , 2017, Front. Neuroinform..

[31]  R. Lanius,et al.  The neurobiology of emotion regulation in posttraumatic stress disorder: Amygdala downregulation via real‐time fMRI neurofeedback , 2017, Human brain mapping.

[32]  Satrajit S. Ghosh,et al.  Mindboggling morphometry of human brains , 2016, bioRxiv.

[33]  Nora D. Volkow,et al.  Temporal Evolution of Brain Functional Connectivity Metrics: Could 7 Min of Rest be Enough? , 2016, Cerebral cortex.

[34]  Krzysztof J. Gorgolewski,et al.  MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites , 2016, bioRxiv.

[35]  A. Dale,et al.  Characterization and Correction of Geometric Distortions in 814 Diffusion Weighted Images , 2016, PloS one.

[36]  Miranda Olff,et al.  ABERRANT RESTING‐STATE BRAIN ACTIVITY IN POSTTRAUMATIC STRESS DISORDER: A META‐ANALYSIS AND SYSTEMATIC REVIEW , 2016, Depression and anxiety.

[37]  Vanessa M Brown,et al.  Fear learning circuitry is biased toward generalization of fear associations in posttraumatic stress disorder , 2015, Translational Psychiatry.

[38]  C. Beckmann,et al.  Resting-state functional connectivity in major depressive disorder: A review , 2015, Neuroscience & Biobehavioral Reviews.

[39]  M. Raichle.  The brain's default mode network. , 2015, Annual review of neuroscience.

[40]  Alberto Llera,et al.  ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data , 2015, NeuroImage.

[41]  D. Silove,et al.  A comparison of the capacity of DSM-IV and DSM-5 acute stress disorder definitions to predict posttraumatic stress disorder and related disorders. , 2015, The Journal of clinical psychiatry.

[42]  Karthik Ramakrishnan Sreenivasan,et al.  Threat-related learning relies on distinct dorsal prefrontal cortex network connectivity , 2014, NeuroImage.

[43]  Kathryn R. Cullen,et al.  Abnormal amygdala resting-state functional connectivity in adolescent depression. , 2014, JAMA psychiatry.

[44]  M. Sheridan,et al.  AMYGDALA RESPONSE TO NEGATIVE STIMULI PREDICTS PTSD SYMPTOM ONSET FOLLOWING A TERRORIST ATTACK , 2014, Depression and anxiety.

[45]  Daniel S. Margulies,et al.  Evaluating nonlinear coregistration of BOLD EPI and T1w images , 2014 .

[46]  Michael Eickenberg,et al.  Machine learning for neuroimaging with scikit-learn , 2014, Front. Neuroinform..

[47]  Timothy O. Laumann,et al.  Methods to detect, characterize, and remove motion artifact in resting state fMRI , 2014, NeuroImage.

[48]  Isaac R Galatzer-Levy,et al.  636,120 Ways to Have Posttraumatic Stress Disorder , 2013, Perspectives on psychological science : a journal of the Association for Psychological Science.

[49]  H. Resnick,et al.  National estimates of exposure to traumatic events and PTSD prevalence using DSM-IV and DSM-5 criteria. , 2013, Journal of traumatic stress.

[50]  B. Bradley,et al.  Disrupted amygdala-prefrontal functional connectivity in civilian women with posttraumatic stress disorder. , 2013, Journal of psychiatric research.

[51]  A. Shalev,et al.  Early PTSD Symptom Trajectories: Persistence, Recovery, and Response to Treatment: Results from the Jerusalem Trauma Outreach and Prevention Study (J-TOPS) , 2013, PloS one.

[52]  E. Walker,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[53]  E. Youngstrom,et al.  The co-occurrence of major depressive disorder among individuals with posttraumatic stress disorder: a meta-analysis. , 2013, Journal of traumatic stress.

[54]  Z. Daskalakis,et al.  Clinically Meaningful Efficacy and Acceptability of Low-Frequency Repetitive Transcranial Magnetic Stimulation (rTMS) for Treating Primary Major Depression: A Meta-Analysis of Randomized, Double-Blind and Sham-Controlled Trials , 2013, Neuropsychopharmacology.

[55]  Dwight J. Kravitz,et al.  The ventral visual pathway: an expanded neural framework for the processing of object quality , 2013, Trends in Cognitive Sciences.

[56]  Yan Zhou,et al.  A preliminary study of alterations in default network connectivity in post-traumatic stress disorder patients following recent trauma , 2012, Brain Research.

[57]  Yan Zhou,et al.  Early Altered Resting-State Functional Connectivity Predicts the Severity of Post-Traumatic Stress Disorder Symptoms in Acutely Traumatized Subjects , 2012, PloS one.

[58]  C. Sripada,et al.  Altered resting-state amygdala functional connectivity in men with posttraumatic stress disorder. , 2012, Journal of psychiatry & neuroscience : JPN.

[59]  S. Hayes,et al.  Quantitative meta-analysis of neural activity in posttraumatic stress disorder , 2012, Biology of Mood & Anxiety Disorders.

[60]  Jonathan D. Power,et al.  Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.

[61]  V. Menon.  Large-scale brain networks and psychopathology: a unifying triple network model , 2011, Trends in Cognitive Sciences.

[62]  Satrajit S. Ghosh,et al.  Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python , 2011, Front. Neuroinform..

[63]  Huaqin Pan,et al.  The PhenX Toolkit: Get the Most From Your Measures , 2011, American journal of epidemiology.

[64]  S. Reise,et al.  Item Banks for Measuring Emotional Distress From the Patient-Reported Outcomes Measurement Information System (PROMIS®): Depression, Anxiety, and Anger , 2011, Assessment.

[65]  Marisa O. Hollinshead,et al.  The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.

[66]  R. Luypaert,et al.  Right prefrontal HF-rTMS attenuates right amygdala processing of negatively valenced emotional stimuli in healthy females , 2010, Behavioural Brain Research.

[67]  Kerry J Ressler,et al.  How the neurocircuitry and genetics of fear inhibition may inform our understanding of PTSD. , 2010, The American journal of psychiatry.

[68]  Brian B. Avants,et al.  N4ITK: Improved N3 Bias Correction , 2010, IEEE Transactions on Medical Imaging.

[69]  M. Fox,et al.  Frontiers in Systems Neuroscience Systems Neuroscience , 2022 .

[70]  R. Bluhm,et al.  Default mode network connectivity as a predictor of post‐traumatic stress disorder symptom severity in acutely traumatized subjects , 2010, Acta psychiatrica Scandinavica.

[71]  S. Rauch,et al.  Neurobiological Basis of Failure to Recall Extinction Memory in Posttraumatic Stress Disorder , 2009, Biological Psychiatry.

[72]  Bruce Fischl,et al.  Accurate and robust brain image alignment using boundary-based registration , 2009, NeuroImage.

[73]  B. Biswal,et al.  The resting brain: unconstrained yet reliable. , 2009, Cerebral cortex.

[74]  Talma Hendler,et al.  Human vulnerability to stress depends on amygdala's predisposition and hippocampal plasticity , 2009, Proceedings of the National Academy of Sciences.

[75]  N. Filippini,et al.  Group comparison of resting-state FMRI data using multi-subject ICA and dual regression , 2009, NeuroImage.

[76]  C. Almli,et al.  Unbiased nonlinear average age-appropriate brain templates from birth to adulthood , 2009, NeuroImage.

[77]  B. Harrison,et al.  Consistency and functional specialization in the default mode brain network , 2008, Proceedings of the National Academy of Sciences.

[78]  J. Desmond,et al.  Neural substrates underlying human delay and trace eyeblink conditioning , 2008, Proceedings of the National Academy of Sciences.

[79]  Zhong-Lin Lu,et al.  Neural correlates of envisioning emotional events in the near and far future , 2008, NeuroImage.

[80]  D. Schacter,et al.  The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.

[81]  Brian B. Avants,et al.  Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain , 2008, Medical Image Anal..

[82]  S. Rauch,et al.  Recall of Fear Extinction in Humans Activates the Ventromedial Prefrontal Cortex and Hippocampus in Concert , 2007, Biological Psychiatry.

[83]  Thomas T. Liu,et al.  A component based noise correction method (CompCor) for BOLD and perfusion based fMRI , 2007, NeuroImage.

[84]  Justin L. Vincent,et al.  Distinct brain networks for adaptive and stable task control in humans , 2007, Proceedings of the National Academy of Sciences.

[85]  G. Glover,et al.  Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control , 2007, The Journal of Neuroscience.

[86]  S. Rombouts,et al.  Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.

[87]  Sean M. Polyn,et al.  Beyond mind-reading: multi-voxel pattern analysis of fMRI data , 2006, Trends in Cognitive Sciences.

[88]  Stephen M. Smith,et al.  Investigations into resting-state connectivity using independent component analysis , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

[89]  R. Pitman,et al.  Conceptually Driven Pharmacologic Approaches to Acute Trauma , 2005, CNS Spectrums.

[90]  Mark W. Woolrich,et al.  Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.

[91]  E. Stein,et al.  Amygdala and hippocampal activity during acquisition and extinction of human fear conditioning , 2004, Cognitive, affective & behavioral neuroscience.

[92]  Stefan Skare,et al.  How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging , 2003, NeuroImage.

[93]  Mark Jenkinson,et al.  Fast, automated, N‐dimensional phase‐unwrapping algorithm , 2003, Magnetic resonance in medicine.

[94]  Michael Brady,et al.  Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.

[95]  L. Cahill,et al.  Pilot study of secondary prevention of posttraumatic stress disorder with propranolol , 2002, Biological Psychiatry.

[96]  G. Shulman,et al.  INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .

[97]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

[98]  R W Cox,et al.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.

[99]  R. Kessler,et al.  Posttraumatic stress disorder in the National Comorbidity Survey. , 1995, Archives of general psychiatry.

[100]  E. Beurs,et al.  [The PTSD Checklist for DSM-5 (PCL-5): comparing responsivity with the Outcome Questionnaire (OQ-45) and practical utility]. , 2020, Tijdschrift voor psychiatrie.

[101]  E. Reynaud,et al.  Dissociating Bottom-Up and Top-Down Mechanisms in the Cortico-Limbic System during Emotion Processing. , 2016, Cerebral cortex.

[102]  G. Bonanno,et al.  Beyond Resilience and PTSD: Mapping the Heterogeneity of Responses to Potential Trauma , 2012 .

[103]  Marisa O. Hollinshead,et al.  The organization of the human cerebral cortex estimated by intrinsic functional connectivity , 2011 .

[104]  Fred J Helmstetter,et al.  Functional MRI of human amygdala activity during Pavlovian fear conditioning: stimulus processing versus response expression. , 2003, Behavioral neuroscience.

[105]  Stephen M. Smith,et al.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.