Resting state brain network function in major depression - Depression symptomatology, antidepressant treatment effects, future research.

[1]  Cheuk Y. Tang,et al.  Ketamine Treatment and Global Brain Connectivity in Major Depression , 2017, Neuropsychopharmacology.

[2]  Jun Cao,et al.  Resting-state functional MRI of abnormal baseline brain activity in young depressed patients with and without suicidal behavior. , 2016, Journal of affective disorders.

[3]  C. Beckmann,et al.  Default mode network coherence in treatment-resistant major depressive disorder during electroconvulsive therapy. , 2016, Journal of affective disorders.

[4]  Huafu Chen,et al.  Frequency-specific alterations in functional connectivity in treatment-resistant and -sensitive major depressive disorder. , 2016, Journal of psychiatric research.

[5]  A. Abi-Dargham,et al.  The search for imaging biomarkers in psychiatric disorders , 2016, Nature Medicine.

[6]  Jazmin Camchong,et al.  Neural Correlates of Antidepressant Treatment Response in Adolescents with Major Depressive Disorder. , 2016, Journal of child and adolescent psychopharmacology.

[7]  Jun Cao,et al.  Association between abnormal default mode network activity and suicidality in depressed adolescents , 2016, BMC Psychiatry.

[8]  Sun I. Kim,et al.  Frontostriatal Connectivity Changes in Major Depressive Disorder After Repetitive Transcranial Magnetic Stimulation: A Randomized Sham-Controlled Study. , 2016, The Journal of clinical psychiatry.

[9]  Scott A Langenecker,et al.  Aberrant resting-state functional connectivity in limbic and cognitive control networks relates to depressive rumination and mindfulness: A pilot study among adolescents with a history of depression. , 2016, Journal of affective disorders.

[10]  L. Passamonti,et al.  Individual differences in depression are associated with abnormal function of the limbic system in multiple sclerosis patients , 2016, Multiple sclerosis.

[11]  Bradley S Peterson,et al.  Increased Default Mode Network Connectivity in Individuals at High Familial Risk for Depression , 2016, Neuropsychopharmacology.

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

[13]  H J Aizenstein,et al.  Intrinsic functional connectivity in late-life depression: trajectories over the course of pharmacotherapy in remitters and non-remitters , 2016, Molecular Psychiatry.

[14]  T. Lencz,et al.  Subgenual cingulate cortical activity predicts the efficacy of electroconvulsive therapy , 2016, Translational Psychiatry.

[15]  V. Arolt,et al.  Major depressive disorder: Findings of reduced homotopic connectivity and investigation of underlying structural mechanisms , 2016, Human brain mapping.

[16]  Ó. Gonçalves,et al.  Default mode network dissociation in depressive and anxiety states , 2016, Brain Imaging and Behavior.

[17]  Joseph Phillips,et al.  On the Complexity of Brain Disorders: A Symptom-Based Approach , 2016, Front. Comput. Neurosci..

[18]  A. Young,et al.  Ketamine modulates subgenual cingulate connectivity with the memory-related neural circuit—a mechanism of relevance to resistant depression? , 2016, PeerJ.

[19]  Ya-li Wang,et al.  Altered functional interaction hub between affective network and cognitive control network in patients with major depressive disorder , 2016, Behavioural Brain Research.

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

[21]  F. Hoffstaedter,et al.  Transdiagnostic commonalities and differences in resting state functional connectivity of the default mode network in schizophrenia and major depression , 2015, NeuroImage: Clinical.

[22]  Julia A. Leonard,et al.  Altered Intrinsic Functional Brain Architecture in Children at Familial Risk of Major Depression , 2015, Biological Psychiatry.

[23]  M. Koenigs,et al.  Subclinical depression severity is associated with distinct patterns of functional connectivity for subregions of anterior cingulate cortex. , 2015, Journal of psychiatric research.

[24]  Todd Jackson,et al.  The Neural Correlates of Optimistic and Depressive Tendencies of Self-Evaluations and Resting-State Default Mode Network , 2015, Front. Hum. Neurosci..

[25]  Daniel C. Krawczyk,et al.  Altered Amygdala Connectivity in Individuals with Chronic Traumatic Brain Injury and Comorbid Depressive Symptoms , 2015, Front. Neurol..

[26]  Qing-hua Luo,et al.  Antidepressant Effects of Electroconvulsive Therapy Correlate With Subgenual Anterior Cingulate Activity and Connectivity in Depression , 2015, Medicine.

[27]  J. W. Hwang,et al.  Subthreshold depression is associated with impaired resting-state functional connectivity of the cognitive control network , 2015, Translational Psychiatry.

[28]  Jie Zhang,et al.  The Fault Lies on the Other Side: Altered Brain Functional Connectivity in Psychiatric Disorders is Mainly Caused by Counterpart Regions in the Opposite Hemisphere. , 2015, Cerebral cortex.

[29]  J. Downar,et al.  Neurobiological mechanisms of repetitive transcranial magnetic stimulation of the dorsolateral prefrontal cortex in depression: a systematic review , 2015, Psychological Medicine.

[30]  Y. Zhong,et al.  Aberrant connectivity within the default mode network in first-episode, treatment-naïve major depressive disorder. , 2015, Journal of affective disorders.

[31]  N. Mao,et al.  Functional and Anatomical Brain Abnormalities and Effects of Antidepressant in Major Depressive Disorder: Combined Application of Voxel-Based Morphometry and Amplitude of Frequency Fluctuation in Resting State , 2015, Journal of computer assisted tomography.

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

[33]  Guangyuan Liu,et al.  Changes of Functional Brain Networks in Major Depressive Disorder: A Graph Theoretical Analysis of Resting-State fMRI , 2015, PloS one.

[34]  D. Hu,et al.  Predicting clinical responses in major depression using intrinsic functional connectivity , 2015, Neuroreport.

[35]  Lei Zhang,et al.  Sub‐hubs of baseline functional brain networks are related to early improvement following two‐week pharmacological therapy for major depressive disorder , 2015, Human brain mapping.

[36]  Yonggui Yuan,et al.  Altered Resting-State Brain Activity and Connectivity in Depressed Parkinson’s Disease , 2015, PloS one.

[37]  Daniele Marinazzo,et al.  The Impact of Accelerated HF-rTMS on the Subgenual Anterior Cingulate Cortex in Refractory Unipolar Major Depression: Insights From 18FDG PET Brain Imaging , 2015, Brain Stimulation.

[38]  Elizabeth B. Liddle,et al.  Dissociated large-scale functional connectivity networks of the precuneus in medication-naïve first-episode depression , 2015, Psychiatry Research: Neuroimaging.

[39]  L. Yao,et al.  The Altered Triple Networks Interaction in Depression under Resting State Based on Graph Theory , 2015, BioMed research international.

[40]  J. Andrews-Hanna,et al.  Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity. , 2015, JAMA psychiatry.

[41]  Donald F. Smith Systematic review of an emerging trend in china: resting-state functional connectivity in major depressive disorder. , 2015, The Journal of neuropsychiatry and clinical neurosciences.

[42]  Dorothee P. Auer,et al.  Localized connectivity in depression: A meta-analysis of resting state functional imaging studies , 2015, Neuroscience & Biobehavioral Reviews.

[43]  Annette B. Brühl,et al.  Making Sense of Real-Time Functional Magnetic Resonance Imaging (rtfMRI) and rtfMRI Neurofeedback , 2015, The international journal of neuropsychopharmacology.

[44]  Donna M. Palmer,et al.  Depression Subtypes in Predicting Antidepressant Response: A Report From the iSPOT-D Trial. , 2015, The American journal of psychiatry.

[45]  Kun Bi,et al.  Association of resting-state network dysfunction with their dynamics of inter-network interactions in depression. , 2015, Journal of affective disorders.

[46]  Feng Liu,et al.  Increased Cerebellar-Default-Mode-Network Connectivity in Drug-Naive Major Depressive Disorder at Rest , 2015, Medicine.

[47]  Anand R. Kumar,et al.  Clinical, cognitive, and functional connectivity correlations of resting-state intrinsic brain activity alterations in unmedicated depression. , 2015, Journal of affective disorders.

[48]  Yonggui Yuan,et al.  Abnormal functional connectivity of the amygdala is associated with depression in Parkinson's disease , 2015, Movement disorders : official journal of the Movement Disorder Society.

[49]  Li Wang,et al.  The effects of antidepressant treatment on resting‐state functional brain networks in patients with major depressive disorder , 2015, Human brain mapping.

[50]  S. Holland,et al.  Decreased amygdala–insula resting state connectivity in behaviorally and emotionally dysregulated youth , 2015, Psychiatry Research: Neuroimaging.

[51]  Chris Petty,et al.  Resting-State Connectivity Predictors of Response to Psychotherapy in Major Depressive Disorder , 2015, Neuropsychopharmacology.

[52]  Shane McKie,et al.  Resting state networks in major depressive disorder , 2014, Psychiatry Research: Neuroimaging.

[53]  Xinhua Wei,et al.  Altered Resting-State Connectivity in College Students with Nonclinical Depressive Symptoms , 2014, PloS one.

[54]  Yu-Te Wu,et al.  Decreased inter-hemispheric connectivity in anterior sub-network of default mode network and cerebellum: significant findings in major depressive disorder. , 2014, The international journal of neuropsychopharmacology.

[55]  Tao Wang,et al.  Early brain changes associated with psychotherapy in major depressive disorder revealed by resting-state fMRI: evidence for the top-down regulation theory. , 2014, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[56]  V D Calhoun,et al.  Hippocampal structural and functional changes associated with electroconvulsive therapy response , 2014, Translational Psychiatry.

[57]  Faith M. Gunning-Dixon,et al.  The salience network in the apathy of late‐life depression , 2014, International journal of geriatric psychiatry.

[58]  Han Yuan,et al.  Resting-State Functional Connectivity Modulation and Sustained Changes After Real-Time Functional Magnetic Resonance Imaging Neurofeedback Training in Depression , 2014, Brain Connect..

[59]  S. Rossi,et al.  Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS) , 2014, Clinical Neurophysiology.

[60]  Dinggang Shen,et al.  Altered brain network modules induce helplessness in major depressive disorder. , 2014, Journal of affective disorders.

[61]  Conor Liston,et al.  Default Mode Network Mechanisms of Transcranial Magnetic Stimulation in Depression , 2014, Biological Psychiatry.

[62]  B. Harrison,et al.  Functional brain-imaging correlates of negative affectivity and the onset of first-episode depression , 2014, Psychological Medicine.

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

[64]  Adeel Razi,et al.  A DCM for resting state fMRI , 2014, NeuroImage.

[65]  Du Lei,et al.  Resting-state brain activation correlates with short-time antidepressant treatment outcome in drug-naïve patients with major depressive disorder , 2014, The Journal of international medical research.

[66]  C. Abdallah,et al.  A Neurobiological Hypothesis of Treatment-Resistant Depression – Mechanisms for Selective Serotonin Reuptake Inhibitor Non-Efficacy , 2014, Front. Behav. Neurosci..

[67]  Daniele Marinazzo,et al.  Accelerated HF-rTMS in treatment-resistant unipolar depression: Insights from subgenual anterior cingulate functional connectivity , 2014, The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry.

[68]  L. Price,et al.  Early life stress impacts dorsolateral prefrontal cortex functional connectivity in healthy adults: informing future studies of antidepressant treatments. , 2014, Journal of psychiatric research.

[69]  Simon B. Eickhoff,et al.  Meta-Analytically Informed Network Analysis of Resting State fMRI Reveals Hyperconnectivity in an Introspective Socio-Affective Network in Depression , 2014, PloS one.

[70]  Shantanu H. Joshi,et al.  Electroconvulsive therapy mediates neuroplasticity of white matter microstructure in major depression , 2014, Translational Psychiatry.

[71]  Dewen Hu,et al.  Unsupervised classification of major depression using functional connectivity MRI , 2014, Human brain mapping.

[72]  Geraint Rees,et al.  Connectivity Changes Underlying Neurofeedback Training of Visual Cortex Activity , 2014, PloS one.

[73]  Guillén Fernández,et al.  Short-term antidepressant administration reduces default mode and task-positive network connectivity in healthy individuals during rest , 2014, NeuroImage.

[74]  Kymberly D. Young,et al.  Real-Time fMRI Neurofeedback Training of Amygdala Activity in Patients with Major Depressive Disorder , 2014, PloS one.

[75]  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.

[76]  Valentin Riedl,et al.  Insular dysfunction within the salience network is associated with severity of symptoms and aberrant inter-network connectivity in major depressive disorder , 2014, Front. Hum. Neurosci..

[77]  C. Reynolds,et al.  Resting state functional connectivity and treatment response in late-life depression , 2013, Psychiatry Research: Neuroimaging.

[78]  Rui Yan,et al.  Identifying major depressive disorder using Hurst exponent of resting-state brain networks , 2013, Psychiatry Research: Neuroimaging.

[79]  Huafu Chen,et al.  Dissociation of regional activity in the default mode network in first-episode, drug-naive major depressive disorder at rest. , 2013, Journal of affective disorders.

[80]  P. Willner,et al.  The neurobiology of depression and antidepressant action , 2013, Neuroscience & Biobehavioral Reviews.

[81]  Milan Scheidegger,et al.  Sleep deprivation increases dorsal nexus connectivity to the dorsolateral prefrontal cortex in humans , 2013, Proceedings of the National Academy of Sciences.

[82]  C. Beevers,et al.  Cognitive control network connectivity in adolescent women with and without a parental history of depression , 2013, Developmental Cognitive Neuroscience.

[83]  N. Vasic,et al.  Revisiting default mode network function in major depression: evidence for disrupted subsystem connectivity , 2013, Psychological Medicine.

[84]  B. Mulsant,et al.  P 239. The neurobiological mechanisms of repetitive transcranial magnetic stimulation in depression: A systematic review , 2013, Clinical Neurophysiology.

[85]  J. Shimony,et al.  Resting-State fMRI: A Review of Methods and Clinical Applications , 2013, American Journal of Neuroradiology.

[86]  Joseph Geraci,et al.  Resting-State Cortico-Thalamic-Striatal Connectivity Predicts Response to Dorsomedial Prefrontal rTMS in Major Depressive Disorder , 2013, Neuropsychopharmacology.

[87]  Y. Su,et al.  Short-term effects of escitalopram on regional brain function in first-episode drug-naive patients with major depressive disorder assessed by resting-state functional magnetic resonance imaging , 2013, Psychological Medicine.

[88]  Feng Liu,et al.  Abnormal resting-state cerebellar–cerebral functional connectivity in treatment-resistant depression and treatment sensitive depression , 2013, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

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

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

[91]  Feng Liu,et al.  Abnormal amplitude low-frequency oscillations in medication-naive, first-episode patients with major depressive disorder: a resting-state fMRI study. , 2013, Journal of affective disorders.

[92]  Bradley S Peterson,et al.  Antidepressants normalize the default mode network in patients with dysthymia. , 2013, JAMA psychiatry.

[93]  Gang Wang,et al.  Interhemispheric Functional Connectivity and Its Relationships with Clinical Characteristics in Major Depressive Disorder: A Resting State fMRI Study , 2013, PloS one.

[94]  Z. Daskalakis,et al.  Response, remission and drop-out rates following high-frequency repetitive transcranial magnetic stimulation (rTMS) for treating major depression: a systematic review and meta-analysis of randomized, double-blind and sham-controlled trials , 2013, Psychological Medicine.

[95]  V. Calhoun,et al.  Electroconvulsive Therapy Response in Major Depressive Disorder: A Pilot Functional Network Connectivity Resting State fMRI Investigation , 2013, Front. Psychiatry.

[96]  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..

[97]  Li Yao,et al.  Abnormal baseline brain activity in suicidal and non-suicidal patients with major depressive disorder , 2013, Neuroscience Letters.

[98]  Thomas Dierks,et al.  Reduced Cerebral Blood Flow Within the Default-Mode Network and Within Total Gray Matter in Major Depression , 2012, Brain Connect..

[99]  I. Hickie,et al.  A systematic review of resting-state functional-MRI studies in major depression. , 2012, Journal of affective disorders.

[100]  Simone Kühn,et al.  Why ruminators won't stop: the structural and resting state correlates of rumination and its relation to depression. , 2012, Journal of affective disorders.

[101]  Feng Liu,et al.  Abnormal regional spontaneous neural activity in first-episode, treatment-naive patients with late-life depression: A resting-state fMRI study , 2012, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[102]  Stephen E. Jones,et al.  Effects of Electroconvulsive Therapy on Brain Functional Activation and Connectivity in Depression , 2012, The journal of ECT.

[103]  Zufu Zhu,et al.  Spatial patterns of intrinsic neural activity in depressed patients with vascular risk factors as revealed by the amplitude of low-frequency fluctuation , 2012, Brain Research.

[104]  G. Sözeri-Varma,et al.  The Biological Effects of Psychotherapy in Major Depressive Disorders: A Review of Neuroimaging Studies , 2012 .

[105]  Amit Anand,et al.  Where in the Brain Is Depression? , 2012, Current Psychiatry Reports.

[106]  Feng Liu,et al.  Abnormal neural activity of brain regions in treatment-resistant and treatment-sensitive major depressive disorder: a resting-state fMRI study. , 2012, Journal of psychiatric research.

[107]  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.

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

[109]  Federico E. Turkheimer,et al.  Functional brain networks before the onset of psychosis: A prospective fMRI study with graph theoretical analysis☆☆☆ , 2012, NeuroImage: Clinical.

[110]  Michael S. Gaffrey,et al.  Default mode network connectivity in children with a history of preschool onset depression. , 2012, Journal of child psychology and psychiatry, and allied disciplines.

[111]  Herta Flor,et al.  A meta-analysis of neurofunctional imaging studies of emotion and cognition in major depression , 2012, NeuroImage.

[112]  D. Hu,et al.  Altered Cerebellar Functional Connectivity with Intrinsic Connectivity Networks in Adults with Major Depressive Disorder , 2012, PloS one.

[113]  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.

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

[115]  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.

[116]  Yu-Te Wu,et al.  Frontal regional homogeneity increased and temporal regional homogeneity decreased after remission of first-episode drug-naïve major depressive disorder with panic disorder patients under duloxetine therapy for 6 weeks. , 2012, Journal of affective disorders.

[117]  J. Pekar,et al.  On the relationship between seed‐based and ICA‐based measures of functional connectivity , 2011, Magnetic resonance in medicine.

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

[119]  Daniella J. Furman,et al.  Default-Mode and Task-Positive Network Activity in Major Depressive Disorder: Implications for Adaptive and Maladaptive Rumination , 2011, Biological Psychiatry.

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

[121]  F. Benedetti,et al.  Chronobiological therapy for mood disorders , 2011, Expert review of neurotherapeutics.

[122]  Qiang Xu,et al.  Disrupted regional homogeneity in treatment-resistant depression: A resting-state fMRI study , 2011, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

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

[124]  Jason A. Nieuwsma,et al.  Examination of the Utility of Psychotherapy for Patients with Treatment Resistant Depression: A Systematic Review , 2011, Journal of General Internal Medicine.

[125]  Emily L. Dennis,et al.  Neural correlates of rumination in depression , 2010, Cognitive, affective & behavioral neuroscience.

[126]  C. Sharpley A review of the neurobiological effects of psychotherapy for depression. , 2010, Psychotherapy.

[127]  T. Insel,et al.  Wesleyan University From the SelectedWorks of Charles A . Sanislow , Ph . D . 2010 Research Domain Criteria ( RDoC ) : Toward a New Classification Framework for Research on Mental Disorders , 2018 .

[128]  S. Rombouts,et al.  Frontiers in Systems Neuroscience Systems Neuroscience , 2022 .

[129]  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.

[130]  R. DeRubeis,et al.  Antidepressant drug effects and depression severity: a patient-level meta-analysis. , 2010, JAMA.

[131]  M. Yücel,et al.  Structural brain abnormalities in major depressive disorder: a selective review of recent MRI studies. , 2009, Journal of affective disorders.

[132]  A. Cleare,et al.  What happens to patients with treatment-resistant depression? A systematic review of medium to long term outcome studies. , 2009, Journal of affective disorders.

[133]  Gaojun Teng,et al.  Regional homogeneity in depression and its relationship with separate depressive symptom clusters: a resting-state fMRI study. , 2009, Journal of affective disorders.

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

[135]  Dennis S. Charney,et al.  Neurobiological mechanisms in major depressive disorder , 2009, Canadian Medical Association Journal.

[136]  R. DeRubeis,et al.  Cognitive therapy versus medication for depression: treatment outcomes and neural mechanisms , 2008, Nature Reviews Neuroscience.

[137]  Sidney H. Kennedy,et al.  Core symptoms of major depressive disorder: relevance to diagnosis and treatment , 2008, Dialogues in clinical neuroscience.

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

[139]  M. Greicius Resting-state functional connectivity in neuropsychiatric disorders , 2008, Current opinion in neurology.

[140]  Chaozhe Zhu,et al.  An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF , 2008, Journal of Neuroscience Methods.

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

[142]  K. Putnam,et al.  Depressive symptoms and baseline prefrontal EEG alpha activity: A study utilizing Ecological Momentary Assessment , 2008, Biological Psychology.

[143]  J. Russell,et al.  Neurobiology of depression: an integrated view of key findings , 2007, International journal of clinical practice.

[144]  H. Berendse,et al.  The application of graph theoretical analysis to complex networks in the brain , 2007, Clinical Neurophysiology.

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

[146]  D. Linden,et al.  How psychotherapy changes the brain – the contribution of functional neuroimaging , 2006, Molecular Psychiatry.

[147]  M. Fava,et al.  A Meta-Analysis of Early Sustained Response Rates Between Antidepressants and Placebo for the Treatment of Major Depressive Disorder , 2006, Journal of clinical psychopharmacology.

[148]  Klaus P. Ebmeier,et al.  Recent developments and current controversies in depression , 2006, The Lancet.

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

[150]  E. Kandel,et al.  Toward a neurobiology of psychotherapy: basic science and clinical applications. , 2005, The Journal of neuropsychiatry and clinical neurosciences.

[151]  Yingli Lu,et al.  Regional homogeneity approach to fMRI data analysis , 2004, NeuroImage.

[152]  G. Cassano,et al.  Efficacy of ECT in Depression: A Meta-Analytic Review , 2004, The journal of ECT.

[153]  Olga V. Demler,et al.  The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). , 2003, JAMA.

[154]  John G. Neuhoff,et al.  Spatiotemporal Pattern of Neural Processing in the Human Auditory Cortex , 2002, Science.

[155]  R. Davidson,et al.  Depression: perspectives from affective neuroscience. , 2002, Annual review of psychology.

[156]  Zhijun Zhang,et al.  Disrupted reward circuits is associated with cognitive deficits and depression severity in major depressive disorder. , 2017, Journal of psychiatric research.

[157]  P. Fox,et al.  Altered Brain Activity in Unipolar Depression Revisited: Meta-analyses of Neuroimaging Studies , 2017, JAMA psychiatry.

[158]  J. Zubieta,et al.  Salience Network Functional Connectivity Predicts Placebo Effects in Major Depression. , 2016, Biological psychiatry. Cognitive neuroscience and neuroimaging.

[159]  Shantanu H. Joshi,et al.  Modulation of intrinsic brain activity by electroconvulsive therapy in major depression. , 2016, Biological psychiatry. Cognitive neuroscience and neuroimaging.

[160]  E. Seifritz,et al.  Real-time Neurofeedback Using Functional MRI Could Improve Down-Regulation of Amygdala Activity During Emotional Stimulation: A Proof-of-Concept Study , 2013, Brain Topography.

[161]  Archana Venkataraman,et al.  Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. , 2010, Journal of neurophysiology.

[162]  Li Wang,et al.  Research report Regional homogeneity in depression and its relationship with separate depressive symptom clusters: A resting-state fMRI study ☆ , 2009 .

[163]  D. Nutt Relationship of neurotransmitters to the symptoms of major depressive disorder. , 2008, The Journal of clinical psychiatry.