Depression, Neuroimaging and Connectomics: A Selective Overview

[1]  Richard J. Davidson,et al.  Developmental pathways to amygdala-prefrontal function and internalizing symptoms in adolescence , 2012, Nature Neuroscience.

[2]  A. Meyer-Lindenberg,et al.  Evidence of biologic epistasis between BDNF and SLC6A4 and implications for depression , 2008, Molecular Psychiatry.

[3]  Damiaan Denys,et al.  Relation Between Structural and Functional Connectivity in Major Depressive Disorder , 2013, Biological Psychiatry.

[4]  O. Sporns,et al.  Network hubs in the human brain , 2013, Trends in Cognitive Sciences.

[5]  D. Hu,et al.  Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. , 2012, Brain : a journal of neurology.

[6]  S. Lui,et al.  Is depression a disconnection syndrome? Meta-analysis of diffusion tensor imaging studies in patients with MDD. , 2013, Journal of psychiatry & neuroscience : JPN.

[7]  Alan C. Evans,et al.  Convergence and divergence of thickness correlations with diffusion connections across the human cerebral cortex , 2012, NeuroImage.

[8]  J. P. Hamilton,et al.  Anomalous Gray Matter Structural Networks in Major Depressive Disorder , 2013, Biological Psychiatry.

[9]  Yong He,et al.  Assessment of system dysfunction in the brain through MRI-based connectomics , 2013, The Lancet Neurology.

[10]  D. Pizzagalli Frontocingulate Dysfunction in Depression: Toward Biomarkers of Treatment Response , 2011, Neuropsychopharmacology.

[11]  P. McGuffin,et al.  The moderation by the serotonin transporter gene of environmental adversity in the aetiology of mental illness: review and methodological analysis , 2008, Molecular Psychiatry.

[12]  K. Dumont,et al.  A prospective investigation of major depressive disorder and comorbidity in abused and neglected children grown up. , 2007, Archives of general psychiatry.

[13]  Klaus P. Ebmeier,et al.  Magnetic resonance imaging in late-life depression: multimodal examination of network disruption. , 2012, Archives of general psychiatry.

[14]  A. Janssens,et al.  Meta-analyses of genetic studies on major depressive disorder , 2008, Molecular Psychiatry.

[15]  Michael Berk,et al.  Deep brain stimulation for treatment-resistant depression: Efficacy, safety and mechanisms of action , 2012, Neuroscience & Biobehavioral Reviews.

[16]  Colm G. Connolly,et al.  Resting-State Functional Connectivity of Subgenual Anterior Cingulate Cortex in Depressed Adolescents , 2013, Biological Psychiatry.

[17]  Ian A. Cook,et al.  The relationship between brain oscillatory activity and therapeutic effectiveness of transcranial magnetic stimulation in the treatment of major depressive disorder , 2013, Front. Hum. Neurosci..

[18]  R. Buckner,et al.  Efficacy of Transcranial Magnetic Stimulation Targets for Depression Is Related to Intrinsic Functional Connectivity with the Subgenual Cingulate , 2012, Biological Psychiatry.

[19]  Danielle S Bassett,et al.  Genetic Influences on Cost-Efficient Organization of Human Cortical Functional Networks , 2011, The Journal of Neuroscience.

[20]  Olaf Sporns,et al.  The Human Connectome: A Structural Description of the Human Brain , 2005, PLoS Comput. Biol..

[21]  Edward T. Bullmore,et al.  Neuroinformatics Original Research Article , 2022 .

[22]  J. D Steele,et al.  Segregation of cognitive and emotional function in the prefrontal cortex: a stereotactic meta-analysis , 2004, NeuroImage.

[23]  Rui Yan,et al.  Abnormal brain anatomical topological organization of the cognitive‐emotional and the frontoparietal circuitry in major depressive disorder , 2014, Magnetic resonance in medicine.

[24]  Karl J. Friston,et al.  Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets , 1993, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[25]  Brien Riley,et al.  The interaction of stressful life events and a serotonin transporter polymorphism in the prediction of episodes of major depression: a replication. , 2005, Archives of general psychiatry.

[26]  Scott Peltier,et al.  The impact of serotonin transporter (5-HTTLPR) genotype on the development of resting-state functional connectivity in children and adolescents: A preliminary report , 2012, NeuroImage.

[27]  E. Perez-stable,et al.  Depression in medical outpatients. Underrecognition and misdiagnosis. , 1990, Archives of internal medicine.

[28]  Edward T. Bullmore,et al.  Whole-brain anatomical networks: Does the choice of nodes matter? , 2010, NeuroImage.

[29]  Yong He,et al.  Overlapping and segregated resting‐state functional connectivity in patients with major depressive disorder with and without childhood neglect , 2014, Human brain mapping.

[30]  M. Breakspear,et al.  Changes in Community Structure of Resting State Functional Connectivity in Unipolar Depression , 2012, PloS one.

[31]  Jerzy Bodurka,et al.  Behavioral and neurophysiological correlates of autobiographical memory deficits in patients with depression and individuals at high risk for depression. , 2013, JAMA psychiatry.

[32]  Zhijun Zhang,et al.  Abnormal functional connectivity of the default mode network in remitted late-onset depression. , 2013, Journal of affective disorders.

[33]  J. Price,et al.  Neurocircuitry of Mood Disorders , 2010, Neuropsychopharmacology.

[34]  Keith A. Johnson,et al.  Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease , 2009, The Journal of Neuroscience.

[35]  Mario Dzemidzic,et al.  Resting state corticolimbic connectivity abnormalities in unmedicated bipolar disorder and unipolar depression , 2009, Psychiatry Research: Neuroimaging.

[36]  Yong He,et al.  Disrupted Functional Brain Connectome in Individuals at Risk for Alzheimer's Disease , 2013, Biological Psychiatry.

[37]  M. Furey,et al.  Brain structural and functional abnormalities in mood disorders: implications for neurocircuitry models of depression , 2008, Brain Structure and Function.

[38]  Connectomics Reveals Faulty Wiring Patterns for Depressed Brain , 2014, Biological Psychiatry.

[39]  Karl J. Friston,et al.  Time‐dependent changes in effective connectivity measured with PET , 1993 .

[40]  C. Nemeroff,et al.  Importance of Studying the Contributions of Early Adverse Experience to Neurobiological Findings in Depression , 2004, Neuropsychopharmacology.

[41]  E. Bullmore,et al.  A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs , 2006, The Journal of Neuroscience.

[42]  M. Raichle,et al.  Functional anatomical correlates of antidepressant drug treatment assessed using PET measures of regional glucose metabolism , 2002, European Neuropsychopharmacology.

[43]  Jeffrey L. Birk,et al.  Reduced caudate and nucleus accumbens response to rewards in unmedicated individuals with major depressive disorder. , 2009, The American journal of psychiatry.

[44]  Leanne M. Williams,et al.  Mapping inter-regional connectivity of the entire cortex to characterize major depressive disorder: a whole-brain diffusion tensor imaging tractography study , 2012, Neuroreport.

[45]  C. Kilts,et al.  Differential functional connectivity within an emotion regulation neural network among individuals resilient and susceptible to the depressogenic effects of early life stress , 2012, Psychological Medicine.

[46]  Marcus Kaiser,et al.  Resting-State Functional Connectivity in Late-Life Depression: Higher Global Connectivity and More Long Distance Connections , 2013, Front. Psychiatry.

[47]  O. Sporns,et al.  The economy of brain network organization , 2012, Nature Reviews Neuroscience.

[48]  A. Meyer-Lindenberg,et al.  5-HTTLPR polymorphism impacts human cingulate-amygdala interactions: a genetic susceptibility mechanism for depression , 2005, Nature Neuroscience.

[49]  Chenwang Jin,et al.  A preliminary study of the dysregulation of the resting networks in first-episode medication-naive adolescent depression , 2011, Neuroscience Letters.

[50]  Zhijun Zhang,et al.  Abnormal default-mode network in angiotensin converting enzyme D allele carriers with remitted geriatric depression , 2012, Behavioural Brain Research.

[51]  Yong He,et al.  Graph theoretical modeling of brain connectivity. , 2010, Current opinion in neurology.

[52]  Ciara McCabe,et al.  Antidepressant medications reduce subcortical–cortical resting-state functional connectivity in healthy volunteers , 2011, NeuroImage.

[53]  Junming Shao,et al.  Aberrant topology of striatum's connectivity is associated with the number of episodes in depression. , 2014, Brain : a journal of neurology.

[54]  R Cameron Craddock,et al.  Disease state prediction from resting state functional connectivity , 2009, Magnetic resonance in medicine.

[55]  Yong He,et al.  Diffusion Tensor Tractography Reveals Abnormal Topological Organization in Structural Cortical Networks in Alzheimer's Disease , 2010, The Journal of Neuroscience.

[56]  D. Kupfer,et al.  Abnormal Left and Right Amygdala-Orbitofrontal Cortical Functional Connectivity to Emotional Faces: State Versus Trait Vulnerability Markers of Depression in Bipolar Disorder , 2010, Biological Psychiatry.

[57]  N. Volkow,et al.  Energetic cost of brain functional connectivity , 2013, Proceedings of the National Academy of Sciences.

[58]  Raymond C K Chan,et al.  Abnormal regional spontaneous neural activity in treatment‐refractory depression revealed by resting‐state fMRI , 2011, Human brain mapping.

[59]  O Sporns,et al.  Predicting human resting-state functional connectivity from structural connectivity , 2009, Proceedings of the National Academy of Sciences.

[60]  Jaskaran Singh,et al.  Regional Cerebral Glucose Metabolic Abnormalities in Bipolar II Depression , 2007, Biological Psychiatry.

[61]  I. Gotlib,et al.  Cognition and depression: current status and future directions. , 2010, Annual review of clinical psychology.

[62]  Xiang Wang,et al.  Evidence of a Dissociation Pattern in Resting-State Default Mode Network Connectivity in First-Episode, Treatment-Naive Major Depression Patients , 2012, Biological Psychiatry.

[63]  S. Rombouts,et al.  Resting-state functional connectivity in adults with childhood emotional maltreatment , 2012, Psychological Medicine.

[64]  S. M. Hadi Hosseini,et al.  Comparing connectivity pattern and small-world organization between structural correlation and resting-state networks in healthy adults , 2013, NeuroImage.

[65]  K. Kendrick,et al.  Depression uncouples brain hate circuit , 2011, Molecular Psychiatry.

[66]  P. Boesiger,et al.  Ketamine Decreases Resting State Functional Network Connectivity in Healthy Subjects: Implications for Antidepressant Drug Action , 2012, PloS one.

[67]  Yong He,et al.  Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain , 2013, Proceedings of the National Academy of Sciences.

[68]  A. Laird,et al.  An analysis of functional neuroimaging studies of dorsolateral prefrontal cortical activity in depression , 2006, Psychiatry Research: Neuroimaging.

[69]  Alan C. Evans,et al.  Small-world anatomical networks in the human brain revealed by cortical thickness from MRI. , 2007, Cerebral cortex.

[70]  A. Caspi,et al.  Influence of Life Stress on Depression: Moderation by a Polymorphism in the 5-HTT Gene , 2003, Science.

[71]  Georgia Koppe,et al.  Interaction of the Serotonin Transporter-Linked Polymorphic Region and Environmental Adversity: Increased Amygdala-Hypothalamus Connectivity as a Potential Mechanism Linking Neural and Endocrine Hyperreactivity , 2012, Biological Psychiatry.

[72]  D. Pine,et al.  Adolescent depressive symptoms as predictors of adult depression: moodiness or mood disorder? , 1999, The American journal of psychiatry.

[73]  Cheuk Y. Tang,et al.  The role of early life stress in development of the anterior limb of the internal capsule in nonhuman primates , 2010, Neuroscience Letters.

[74]  Edward T. Bullmore,et al.  Network-based statistic: Identifying differences in brain networks , 2010, NeuroImage.

[75]  O. Sporns,et al.  Network centrality in the human functional connectome. , 2012, Cerebral cortex.

[76]  L. Price,et al.  Decreased default network connectivity is associated with early life stress in medication-free healthy adults , 2013, European Neuropsychopharmacology.

[77]  Yong He,et al.  Topologically Convergent and Divergent Structural Connectivity Patterns between Patients with Remitted Geriatric Depression and Amnestic Mild Cognitive Impairment , 2012, The Journal of Neuroscience.

[78]  Yong He,et al.  Effects of Different Correlation Metrics and Preprocessing Factors on Small-World Brain Functional Networks: A Resting-State Functional MRI Study , 2012, PloS one.

[79]  E. Bullmore,et al.  The Convergence of Maturational Change and Structural Covariance in Human Cortical Networks , 2013, The Journal of Neuroscience.

[80]  P. Sullivan,et al.  Genetic epidemiology of major depression: review and meta-analysis. , 2000, The American journal of psychiatry.

[81]  Alan C. Evans,et al.  Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans , 2009, PloS one.

[82]  Kyoko Ohashi,et al.  Childhood Maltreatment: Altered Network Centrality of Cingulate, Precuneus, Temporal Pole and Insula , 2014, Biological Psychiatry.

[83]  Aifeng Zhang,et al.  Graph theory analysis of cortical-subcortical networks in late-life depression. , 2014, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[84]  A. Lozano,et al.  Probing and Regulating Dysfunctional Circuits Using Deep Brain Stimulation , 2013, Neuron.

[85]  R. Hales,et al.  J Neuropsychiatry Clin Neurosci , 1992 .

[86]  Liang Wang,et al.  Parcellation‐dependent small‐world brain functional networks: A resting‐state fMRI study , 2009, Human brain mapping.

[87]  E. Bullmore,et al.  The hubs of the human connectome are generally implicated in the anatomy of brain disorders , 2014, Brain : a journal of neurology.

[88]  James R. MacFall,et al.  Dorsolateral Prefrontal Cortex and Anterior Cingulate Cortex White Matter Alterations in Late-Life Depression , 2006, Biological Psychiatry.

[89]  Joaquín Goñi,et al.  Abnormal rich club organization and functional brain dynamics in schizophrenia. , 2013, JAMA psychiatry.

[90]  Yong He,et al.  BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics , 2013, PloS one.

[91]  A. Danese,et al.  Childhood maltreatment predicts unfavorable course of illness and treatment outcome in depression: a meta-analysis. , 2011, The American journal of psychiatry.

[92]  S. Lui,et al.  Regional increases of cortical thickness in untreated, first-episode major depressive disorder , 2014, Translational Psychiatry.

[93]  Ian H. Gotlib,et al.  Reduced caudate gray matter volume in women with major depressive disorder , 2008, Psychiatry Research: Neuroimaging.

[94]  Stéphane Lehéricy,et al.  Normal functional imaging of the basal ganglia. , 2002, Epileptic disorders : international epilepsy journal with videotape.

[95]  M. Mintun,et al.  Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus , 2010, Proceedings of the National Academy of Sciences.

[96]  L. Williams,et al.  Abnormal Structural Networks Characterize Major Depressive Disorder: A Connectome Analysis , 2014, Biological Psychiatry.

[97]  E. Bullmore,et al.  Imaging structural co-variance between human brain regions , 2013, Nature Reviews Neuroscience.

[98]  Haifang Li,et al.  Machine learning classifier using abnormal brain network topological metrics in major depressive disorder , 2012, Neuroreport.

[99]  H. Mayberg Limbic-cortical dysregulation: a proposed model of depression. , 1997, The Journal of neuropsychiatry and clinical neurosciences.

[100]  M. Hoptman,et al.  Functional connectivity in the cognitive control network and the default mode network in late-life depression. , 2012, Journal of affective disorders.

[101]  Yong He,et al.  Graph Theoretical Analysis of Functional Brain Networks: Test-Retest Evaluation on Short- and Long-Term Resting-State Functional MRI Data , 2011, PloS one.

[102]  Mark S. George,et al.  More Lateral and Anterior Prefrontal Coil Location Is Associated with Better Repetitive Transcranial Magnetic Stimulation Antidepressant Response , 2009, Biological Psychiatry.

[103]  P. Cowen,et al.  SSRI administration reduces resting state functional connectivity in dorso-medial prefrontal cortex , 2011, Molecular Psychiatry.

[104]  O. Sporns,et al.  Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.

[105]  E. Gordon,et al.  The relationship between early life stress and microstructural integrity of the corpus callosum in a non-clinical population , 2008, Neuropsychiatric disease and treatment.

[106]  K. Krishnan,et al.  Magnetic resonance imaging of the caudate nuclei in depression. Preliminary observations. , 1992, Archives of general psychiatry.

[107]  M. Popoli,et al.  The Action of Antidepressants on the Glutamate System: Regulation of Glutamate Release and Glutamate Receptors , 2013, Biological Psychiatry.

[108]  Qiyong Gong,et al.  Resting-state functional connectivity in treatment-resistant depression. , 2011, The American journal of psychiatry.

[109]  Yong He,et al.  Understanding Structural-Functional Relationships in the Human Brain , 2015, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[110]  Yong He,et al.  Disrupted structural and functional brain connectomes in mild cognitive impairment and Alzheimer’s disease , 2014, Neuroscience Bulletin.

[111]  Edward T. Bullmore,et al.  Schizophrenia, neuroimaging and connectomics , 2012, NeuroImage.

[112]  C. Nemeroff,et al.  The role of childhood trauma in the neurobiology of mood and anxiety disorders: preclinical and clinical studies , 2001, Biological Psychiatry.

[113]  V Latora,et al.  Efficient behavior of small-world networks. , 2001, Physical review letters.

[114]  Alan C. Evans,et al.  Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. , 2009, Cerebral cortex.

[115]  Martin Wiesmann,et al.  Functional Connectivity Bias of the Orbitofrontal Cortex in Drug-Free Patients with Major Depression , 2010, Biological Psychiatry.

[116]  Yufeng Zang,et al.  Functional brain hubs and their test–retest reliability: A multiband resting-state functional MRI study , 2013, NeuroImage.

[117]  Olaf Sporns,et al.  Network attributes for segregation and integration in the human brain , 2013, Current Opinion in Neurobiology.

[118]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[119]  Y. Sheline Depression and the Hippocampus: Cause or Effect? , 2011, Biological Psychiatry.

[120]  Joan Kaufman,et al.  Effects of early adverse experiences on brain structure and function: clinical implications , 2000, Biological Psychiatry.

[121]  Cornelis J. Stam,et al.  Genetic control of functional brain network efficiency in children , 2013, European Neuropsychopharmacology.

[122]  J. P. Hamilton,et al.  Neural systems approaches to understanding major depressive disorder: An intrinsic functional organization perspective , 2013, Neurobiology of Disease.

[123]  H. Mayberg Targeted electrode-based modulation of neural circuits for depression. , 2009, The Journal of clinical investigation.

[124]  X. Zuo,et al.  Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: A systems neuroscience perspective , 2014, Neuroscience & Biobehavioral Reviews.

[125]  C. Schwarzbauer,et al.  Electroconvulsive therapy reduces frontal cortical connectivity in severe depressive disorder , 2012, Proceedings of the National Academy of Sciences.

[126]  Oded Gonen,et al.  Lateralized caudate metabolic abnormalities in adolescent major depressive disorder: a proton MR spectroscopy study. , 2007, The American journal of psychiatry.

[127]  O. Sporns,et al.  Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.

[128]  Janaina Mourão Miranda,et al.  Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data , 2005, NeuroImage.

[129]  Shilpa Chakravartula,et al.  Complex Networks: Structure and Dynamics , 2014 .

[130]  Xiaoqi Huang,et al.  Disrupted Brain Connectivity Networks in Drug-Naive, First-Episode Major Depressive Disorder , 2011, Biological Psychiatry.

[131]  Jesse A. Brown,et al.  Brain network local interconnectivity loss in aging APOE-4 allele carriers , 2011, Proceedings of the National Academy of Sciences.

[132]  Karl J. Friston,et al.  A Treatment-Resistant Default Mode Subnetwork in Major Depression , 2013, Biological Psychiatry.

[133]  B. Lerer,et al.  Environmental stress and psychiatric illness. , 2000, Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie.

[134]  Laura M Parkes,et al.  Depressive Disorders : Focally Altered Cerebral Perfusion Measured with Arterial Spin-labeling MR Imaging 1 , 2009 .

[135]  G. Glover,et al.  Resting-State Functional Connectivity in Major Depression: Abnormally Increased Contributions from Subgenual Cingulate Cortex and Thalamus , 2007, Biological Psychiatry.

[136]  A Pickles,et al.  The influence of genetic factors and life stress on depression among adolescent girls. , 1999, Archives of general psychiatry.

[137]  S. Rombouts,et al.  Resilience to childhood maltreatment is associated with increased resting-state functional connectivity of the salience network with the lingual gyrus. , 2013, Child abuse & neglect.