Using fMRI and machine learning to predict symptom improvement following cognitive behavioural therapy for psychosis

[1]  T. Furukawa,et al.  Psychological interventions for positive symptoms in schizophrenia: protocol for a network meta-analysis of randomised controlled trials , 2018, BMJ Open.

[2]  Nicco Reggente,et al.  Multivariate resting-state functional connectivity predicts response to cognitive behavioral therapy in obsessive–compulsive disorder , 2018, Proceedings of the National Academy of Sciences.

[3]  N. Tarrier,et al.  The COMMAND trial of cognitive therapy to prevent harmful compliance with command hallucinations: predictors of outcome and mediators of change , 2017, Psychological Medicine.

[4]  P. McGuire,et al.  Clinical relevance of appraisals of persistent psychotic experiences in people with and without a need for care: an experimental study , 2017, The lancet. Psychiatry.

[5]  The clinical relevance of appraisals of psychotic experiences , 2017, World psychiatry : official journal of the World Psychiatric Association.

[6]  K. Luan Phan,et al.  Predicting cognitive behavioral therapy response in social anxiety disorder with anterior cingulate cortex and amygdala during emotion regulation , 2017, NeuroImage: Clinical.

[7]  R. Shelton,et al.  Brain structure, function, and neurochemistry in schizophrenia and bipolar disorder—a systematic review of the magnetic resonance neuroimaging literature , 2017, npj Schizophrenia.

[8]  Luke J. Chang,et al.  Building better biomarkers: brain models in translational neuroimaging , 2017, Nature Neuroscience.

[9]  H. Yamasue,et al.  Neural basis for inferring false beliefs and social emotions in others among individuals with schizophrenia and those at ultra-high risk for psychosis , 2017, Psychiatry Research: Neuroimaging.

[10]  S. Williams,et al.  Brain connectivity changes occurring following cognitive behavioural therapy for psychosis predict long-term recovery , 2017, Translational Psychiatry.

[11]  V. Kumari,et al.  Cognitive Behaviour Therapy for Psychosis: Insights from Neuroimaging , 2017 .

[12]  J Duncan,et al.  Brain responses to biological motion predict treatment outcome in young children with autism , 2016, Translational psychiatry.

[13]  Georg Northoff,et al.  How do abnormalities in the brain’s spontaneous activity translate into symptoms in schizophrenia? From an overview of resting state activity findings to a proposed spatiotemporal psychopathology , 2016, Progress in Neurobiology.

[14]  A. Mendrek,et al.  Emotionally Neutral Stimuli Are Not Neutral in Schizophrenia: A Mini Review of Functional Neuroimaging Studies , 2016, Front. Psychiatry.

[15]  V. Arolt,et al.  Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data. , 2016, JAMA psychiatry.

[16]  V. Kumari,et al.  Cognitive and neural models of threat appraisal in psychosis: A theoretical integration , 2016, Psychiatry Research.

[17]  V. Kumari,et al.  Appraisals of psychotic experiences: an experimental investigation of symptomatic, remitted and non-need-for-care individuals , 2016, Psychological Medicine.

[18]  D. Ffytche,et al.  Mapping Depression in Schizophrenia: A Functional Magnetic Resonance Imaging Study , 2015, Schizophrenia bulletin.

[19]  Steven C. R. Williams,et al.  Cognitive Behavioral Therapy Normalizes Functional Connectivity for Social Threat in Psychosis , 2015, Schizophrenia bulletin.

[20]  K. Matthews,et al.  Structural MRI-Based Predictions in Patients with Treatment-Refractory Depression (TRD) , 2015, PloS one.

[21]  V. Kumari,et al.  Psychobiology of threat appraisal in the context of psychotic experiences: A selective review , 2015, European Psychiatry.

[22]  A. Simmons,et al.  Orbitofrontal cortex, emotional decision-making and response to cognitive behavioural therapy for psychosis , 2015, Psychiatry Research: Neuroimaging.

[23]  A F Marquand,et al.  Predicting long-term outcome of Internet-delivered cognitive behavior therapy for social anxiety disorder using fMRI and support vector machine learning , 2015, Translational Psychiatry.

[24]  K. Tye,et al.  From circuits to behaviour in the amygdala , 2015, Nature.

[25]  R. Jardri,et al.  Resting-state functional connectivity of the nucleus accumbens in auditory and visual hallucinations in schizophrenia. , 2015, Schizophrenia bulletin.

[26]  F. McMahon.  Prediction of treatment outcomes in psychiatry—where do we stand ? , 2014, Dialogues in clinical neuroscience.

[27]  H. Scholte,et al.  A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression , 2014, Molecular Psychiatry.

[28]  P. Woodruff,et al.  Appraisals and responses to experimental symptom analogues in clinical and nonclinical individuals with psychotic experiences. , 2014, Schizophrenia bulletin.

[29]  Christophe Phillips,et al.  Can we interpret linear kernel machine learning models using anatomically labelled regions , 2014 .

[30]  Benson Mwangi,et al.  A Review of Feature Reduction Techniques in Neuroimaging , 2013, Neuroinformatics.

[31]  A. Mendrek,et al.  Individuals Diagnosed with Schizophrenia Assign Emotional Importance to Neutral Stimuli: An fMRI Study , 2013, ISRN psychiatry.

[32]  T. Wykes,et al.  A naturalistic, randomized, controlled trial combining cognitive remediation with cognitive–behavioural therapy after first-episode non-affective psychosis , 2013, Psychological Medicine.

[33]  Luca Baldassarre,et al.  Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models , 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

[34]  Janet B W Williams.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[35]  Janaina Mourão Miranda,et al.  PRoNTo: Pattern Recognition for Neuroimaging Toolbox , 2013, Neuroinformatics.

[36]  S. Costafreda,et al.  Emotional valence modulates brain functional abnormalities in depression: Evidence from a meta-analysis of fMRI studies , 2013, Neuroscience & Biobehavioral Reviews.

[37]  T. Eichele,et al.  Increased Intrinsic Brain Activity in the Striatum Reflects Symptom Dimensions in Schizophrenia , 2012, Schizophrenia bulletin.

[38]  Christophe Phillips,et al.  Pattern Recognition for Neuroimaging Toolbox , 2013 .

[39]  M. Obermeier.  The positive and negative syndrome scale for schizophrenia , 2012 .

[40]  S. Frangou,et al.  Evidence of diagnostic specificity in the neural correlates of facial affect processing in bipolar disorder and schizophrenia: a meta-analysis of functional imaging studies , 2012, Psychological Medicine.

[41]  A. Mechelli,et al.  Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review , 2012, Neuroscience & Biobehavioral Reviews.

[42]  Stephan F. Taylor,et al.  Meta-Analysis of Functional Neuroimaging Studies of Emotion Perception and Experience in Schizophrenia , 2012, Biological Psychiatry.

[43]  Udo Dannlowski,et al.  Facial emotion processing in major depression: a systematic review of neuroimaging findings , 2011, Biology of Mood & Anxiety Disorders.

[44]  R. Murray,et al.  Individualized prediction of illness course at the first psychotic episode: a support vector machine MRI study , 2011, Psychological Medicine.

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

[46]  D. Ffytche,et al.  Neural changes following cognitive behaviour therapy for psychosis: a longitudinal study , 2011, Brain : a journal of neurology.

[47]  S. Landau,et al.  A randomised controlled trial of cognitive behaviour therapy for psychosis in a routine clinical service , 2010, Acta psychiatrica Scandinavica.

[48]  Ute Habel,et al.  Neural correlates of emotion recognition in schizophrenia , 2010, Schizophrenia Research.

[49]  Raymond C K Chan,et al.  Facial emotion processing in schizophrenia: a meta-analysis of functional neuroimaging data. , 2010, Schizophrenia bulletin.

[50]  Tyrone D. Cannon,et al.  Structural and Functional Brain Abnormalities in Schizophrenia , 2010, Current directions in psychological science.

[51]  Peter Falkai,et al.  Disturbed functional connectivity within brain networks subserving domain-specific subcomponents of working memory in schizophrenia: relation to performance and clinical symptoms. , 2010, Journal of psychiatric research.

[52]  D. Ffytche,et al.  Behavioral Neuroscience , 2022 .

[53]  Andrew Simmons,et al.  Structural magnetic resonance imaging predictors of responsiveness to cognitive behaviour therapy in psychosis , 2009, Schizophrenia Research.

[54]  Elia Formisano,et al.  Anatomical brain connectivity and positive symptoms of schizophrenia: A diffusion tensor imaging study , 2009, Psychiatry Research: Neuroimaging.

[55]  Steven C.R. Williams,et al.  Dorsolateral Prefrontal Cortex Activity Predicts Responsiveness to Cognitive–Behavioral Therapy in Schizophrenia , 2009, Biological Psychiatry.

[56]  David J McGonigle,et al.  Elsevier Editorial System(tm) for Biological Psychiatry Manuscript Draft Title: Overactivation of Fear Systems to Neutral Faces in Schizophrenia Fear of Faces in Schizophrenia in This Issue Statement Overactivation of Fear Systems to Neutral Faces in Schizophrenia , 2022 .

[57]  G. Dunn,et al.  Cognitive--behavioural therapy and family intervention for relapse prevention and symptom reduction in psychosis: randomised controlled trial. , 2008, The British journal of psychiatry : the journal of mental science.

[58]  Simon Surguladze,et al.  Facial fear processing and psychotic symptoms in schizophrenia: functional magnetic resonance imaging study , 2008, British Journal of Psychiatry.

[59]  Daniel H. Mathalon,et al.  Diffusion tensor imaging in schizophrenia: Relationship to symptoms , 2008, Schizophrenia Research.

[60]  B. Everitt,et al.  Cognitive Behavior Therapy for Schizophrenia: Effect Sizes, Clinical Models, and Methodological Rigor , 2007, Schizophrenia bulletin.

[61]  Kosha Ruparel,et al.  Limbic activation associated with misidentification of fearful faces and flat affect in schizophrenia. , 2007, Archives of general psychiatry.

[62]  Z. Shahrivar,et al.  Structured Clinical Interview for DSM-IV (SCID): Persian Translation and Cultural Adaptation , 2007 .

[63]  G. Dunn,et al.  Cognitive, emotional, and social processes in psychosis: refining cognitive behavioral therapy for persistent positive symptoms. , 2006, Schizophrenia bulletin.

[64]  M. Pfammatter,et al.  Efficacy of psychological therapy in schizophrenia: conclusions from meta-analyses. , 2006, Schizophrenia bulletin.

[65]  M. Birchwood,et al.  The future of cognitive-behavioural therapy for psychosis: not a quasi-neuroleptic , 2006, British Journal of Psychiatry.

[66]  M. Katz.  Validation of models , 2006 .

[67]  D. Veale,et al.  National Collaborating Centre for Mental Health , 2006 .

[68]  Melissa J. Green,et al.  Social threat perception and the evolution of paranoia , 2004, Neuroscience & Biobehavioral Reviews.

[69]  S. Rauch,et al.  Neurobiology of emotion perception I: the neural basis of normal emotion perception , 2003, Biological Psychiatry.

[70]  S. Kapur.  Psychosis as a state of aberrant salience: a framework linking biology, phenomenology, and pharmacology in schizophrenia. , 2003, The American journal of psychiatry.

[71]  S. Kay,et al.  The positive and negative syndrome scale (PANSS) for schizophrenia. , 1987, Schizophrenia bulletin.

[72]  A. H. Roberts.  Predicting the Long-term Outcome , 1979 .