Early identification of bipolar from unipolar depression before manic episode: Evidence from dynamic rfMRI

Misdiagnosis of bipolar disorder (BD) as unipolar disorder (UD) may cause improper treatment strategy to be chosen, especially in the early stages of disease. The aim of this study was to characterize alterations in specific brain networks for depressed patients who transformed into BD (tBD) from UD.

[1]  Y Li,et al.  Clinical utility of a short resting‐state MRI scan in differentiating bipolar from unipolar depression , 2017, Acta psychiatrica Scandinavica.

[2]  Runa Bhaumik,et al.  Principal component analysis and neural predictors of emotion regulation , 2018, Behavioural Brain Research.

[3]  R. Hirschfeld,et al.  Perceptions and impact of bipolar disorder: how far have we really come? Results of the national depressive and manic-depressive association 2000 survey of individuals with bipolar disorder. , 2003, The Journal of clinical psychiatry.

[4]  P. Petrovic,et al.  Manic episodes are related to changes in frontal cortex: a longitudinal neuroimaging study of bipolar disorder 1. , 2015, Brain : a journal of neurology.

[5]  M. Fox,et al.  Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.

[6]  K. Miskowiak,et al.  Neuronal underpinnings of cognitive impairment and - improvement in mood disorders , 2018, CNS Spectrums.

[7]  Danielle S. Bassett,et al.  Cognitive Network Neuroscience , 2015, Journal of Cognitive Neuroscience.

[8]  Kyu-Man Han,et al.  Differentiating between bipolar and unipolar depression in functional and structural MRI studies , 2019, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[9]  Danielle S Bassett,et al.  Learning-induced autonomy of sensorimotor systems , 2014, Nature Neuroscience.

[10]  G. Spalletta,et al.  Insula and amygdala resting‐state functional connectivity differentiate bipolar from unipolar depression , 2017, Acta psychiatrica Scandinavica.

[11]  P. Munk-Jørgensen,et al.  Risk factors for conversion from unipolar psychotic depression to bipolar disorder , 2014, Bipolar disorders.

[12]  M. Kenward,et al.  Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls , 2009, BMJ : British Medical Journal.

[13]  P. Fitzgerald,et al.  Bilateral Transcranial Magnetic Stimulation on DLPFC Changes Resting State Networks and Cognitive Function in Patients With Bipolar Depression , 2018, Front. Hum. Neurosci..

[14]  Peter Dechent,et al.  Differentiating unipolar and bipolar depression by alterations in large‐scale brain networks , 2016, Human brain mapping.

[15]  Stephen M Smith,et al.  Fast transient networks in spontaneous human brain activity , 2014, eLife.

[16]  Mason A. Porter,et al.  Robust Detection of Dynamic Community Structure in Networks , 2012, Chaos.

[17]  Eswar Damaraju,et al.  Tracking whole-brain connectivity dynamics in the resting state. , 2014, Cerebral cortex.

[18]  Juan Manuel Górriz,et al.  Early diagnosis of Alzheimer's disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images , 2015, Neurocomputing.

[19]  G. Northoff,et al.  Opposing patterns of neuronal variability in the sensorimotor network mediate cyclothymic and depressive temperaments , 2018, Human brain mapping.

[20]  R. Fonseca,et al.  Executive function impairments in depression and bipolar disorder: association with functional impairment and quality of life. , 2016, Journal of affective disorders.

[21]  L. Yao,et al.  Altered effective connectivity model in the default mode network between bipolar and unipolar depression based on resting-state fMRI. , 2015, Journal of affective disorders.

[22]  M. Phillips,et al.  Differential Anterior Cingulate Activity during Response Inhibition in Depressed Adolescents with Bipolar and Unipolar Major Depressive Disorder. , 2014, Journal of the Canadian Academy of Child and Adolescent Psychiatry = Journal de l'Academie canadienne de psychiatrie de l'enfant et de l'adolescent.

[23]  S. Strejilevich,et al.  Neuropsychological profiles of major depressive disorder and bipolar disorder during euthymia. A systematic literature review of comparative studies , 2017, Psychiatry Research.

[24]  G. Sachs,et al.  The Bipolarity Index: a clinician-rated measure of diagnostic confidence. , 2015, Journal of affective disorders.

[25]  S. Whitfield-Gabrieli,et al.  Dynamic Resting-State Functional Connectivity in Major Depression , 2016, Neuropsychopharmacology.

[26]  A. Gamma,et al.  The HCL-32: towards a self-assessment tool for hypomanic symptoms in outpatients. , 2005, Journal of affective disorders.

[27]  Y. Okamoto,et al.  Distinctive Neuroanatomical Substrates for Depression in Bipolar Disorder versus Major Depressive Disorder , 2018, Cerebral cortex.

[28]  M. Greicius,et al.  Default-Mode Activity during a Passive Sensory Task: Uncoupled from Deactivation but Impacting Activation , 2004, Journal of Cognitive Neuroscience.

[29]  John Shawe-Taylor,et al.  Sparse network-based models for patient classification using fMRI , 2013, NeuroImage.

[30]  Georg Northoff,et al.  Contrasting variability patterns in the default mode and sensorimotor networks balance in bipolar depression and mania , 2016, Proceedings of the National Academy of Sciences.

[31]  Jukka-Pekka Onnela,et al.  Community Structure in Time-Dependent, Multiscale, and Multiplex Networks , 2009, Science.

[32]  Xia Wu,et al.  Shared and specific functional connectivity alterations in unmedicated bipolar and major depressive disorders based on the triple-network model , 2018, Brain Imaging and Behavior.

[33]  T. Münte,et al.  Altered Resting State Brain Networks in Parkinson’s Disease , 2013, PloS one.

[34]  Janaina Mourão Miranda,et al.  Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models , 2018, Neuroinformatics.

[35]  H. Lôo.  [On bipolar disorder]. , 2008, L'Encephale.

[36]  M. Ermani,et al.  Reduced right posterior hippocampal volume in women with recurrent familial pure depressive disorder , 2010, Psychiatry Research: Neuroimaging.

[37]  S. Debener,et al.  Default-mode brain dysfunction in mental disorders: A systematic review , 2009, Neuroscience & Biobehavioral Reviews.

[38]  Yanbin Jia,et al.  Disrupted Resting-State Functional Connectivity in Nonmedicated Bipolar Disorder. , 2016, Radiology.

[39]  Kun Bi,et al.  Abnormal dynamic community structure of the salience network in depression , 2017, Journal of magnetic resonance imaging : JMRI.

[40]  Huafu Chen,et al.  Transdiagnostic and diagnosis-specific dynamic functional connectivity anchored in the right anterior insula in major depressive disorder and bipolar depression , 2018, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[41]  M. Berk,et al.  Meta-analysis A systematic review and meta-analysis of prospective transition from major depression to bipolar disorder , 2017 .

[42]  Vince D. Calhoun,et al.  Multivariate analysis reveals genetic associations of the resting default mode network in psychotic bipolar disorder and schizophrenia , 2014, Proceedings of the National Academy of Sciences.

[43]  M. Phillips,et al.  Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach. , 2014, JAMA psychiatry.

[44]  A. Falini,et al.  Different Neural Responses to a Moral Valence Decision Task in Unipolar and Bipolar Depression , 2013, ISRN psychiatry.

[45]  K. Kendrick,et al.  Neural, electrophysiological and anatomical basis of brain-network variability and its characteristic changes in mental disorders. , 2016, Brain : a journal of neurology.

[46]  A. Loonen,et al.  Evolution of circuits regulating pleasure and happiness with the habenula in control , 2017, CNS Spectrums.

[47]  Yang Wang,et al.  Transcutaneous Vagus Nerve Stimulation Modulates Default Mode Network in Major Depressive Disorder , 2016, Biological Psychiatry.

[48]  T. Suslow,et al.  Discriminating unipolar and bipolar depression by means of fMRI and pattern classification: a pilot study , 2013, European Archives of Psychiatry and Clinical Neuroscience.

[49]  L. Mo,et al.  Multisensory Competition Is Modulated by Sensory Pathway Interactions with Fronto-Sensorimotor and Default-Mode Network Regions , 2015, The Journal of Neuroscience.