Altered brain activity in unipolar depression unveiled using connectomics
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[1] A. Zalesky,et al. Acute TMS/fMRI response explains offline TMS network effects – An interleaved TMS-fMRI study , 2022, NeuroImage.
[2] A. Zalesky,et al. Personalized brain stimulation of memory networks , 2022, Brain Stimulation.
[3] Yingying Tang,et al. The therapeutic potential of personalized connectivity-guided transcranial magnetic stimulation target over group-average target for depression , 2022, Brain Stimulation.
[4] Joel L. Voss,et al. Brain stimulation and brain lesions converge on common causal circuits in neuropsychiatric disease , 2021, Nature Human Behaviour.
[5] L. Cocchi,et al. Personalized connectivity‐guided DLPFC‐TMS for depression: Advancing computational feasibility, precision and reproducibility , 2021, Human brain mapping.
[6] H. Mayberg,et al. The future of personalized brain stimulation , 2021, Nature Medicine.
[7] L. Cocchi,et al. Functional Magnetic Resonance Imaging-Guided Personalization of Transcranial Magnetic Stimulation Treatment for Depression. , 2020, JAMA psychiatry.
[8] M. Fox,et al. Using Brain Imaging to Improve Spatial Targeting of Transcranial Magnetic Stimulation for Depression , 2020, Biological Psychiatry.
[9] Ningfei Li,et al. Normative vs. patient-specific brain connectivity in deep brain stimulation , 2020, NeuroImage.
[10] Simon B Eickhoff,et al. Multimodal Abnormalities of Brain Structure and Function in Major Depressive Disorder: A Meta-Analysis of Neuroimaging Studies. , 2020, The American journal of psychiatry.
[11] Christos Davatzikos,et al. Individual Variation in Functional Topography of Association Networks in Youth , 2020, Neuron.
[12] Daniel S. Margulies,et al. Topographic organization of the human subcortex unveiled with functional connectivity gradients , 2020, Nature Neuroscience.
[13] Joel L. Voss,et al. A Human Depression Circuit Derived From Focal Brain Lesions , 2019, Biological Psychiatry.
[14] L. Cocchi,et al. Subgenual Functional Connectivity Predicts Antidepressant Treatment Response to Transcranial Magnetic Stimulation: Independent Validation and Evaluation of Personalization , 2019, Biological Psychiatry.
[15] Á. Pascual-Leone,et al. Distinct symptom-specific treatment targets for circuit-based neuromodulation , 2019, Brain Stimulation.
[16] C. Beckmann,et al. Conceptualizing mental disorders as deviations from normative functioning , 2019, Molecular Psychiatry.
[17] Ninon Burgos,et al. New advances in the Clinica software platform for clinical neuroimaging studies , 2019 .
[18] V. Visser-Vandewalle,et al. Connectivity Profile Predictive of Effective Deep Brain Stimulation in Obsessive-Compulsive Disorder , 2019, Biological Psychiatry.
[19] J. Downar. Orbitofrontal Cortex: A ‘Non-rewarding’ New Treatment Target in Depression? , 2019, Current Biology.
[20] M. Fox,et al. Network localization of heterogeneous neuroimaging findings , 2018, Brain : a journal of neurology.
[21] Karl J. Friston,et al. A brain network model for depression: From symptom understanding to disease intervention , 2018, CNS neuroscience & therapeutics.
[22] David C Van Essen,et al. The impact of traditional neuroimaging methods on the spatial localization of cortical areas , 2018, Proceedings of the National Academy of Sciences.
[23] Huawang Wu,et al. Disrupted functional connectivity patterns of the insula subregions in drug-free major depressive disorder. , 2017, Journal of affective disorders.
[24] Á. Pascual-Leone,et al. Prospective Validation That Subgenual Connectivity Predicts Antidepressant Efficacy of Transcranial Magnetic Stimulation Sites , 2017, Biological Psychiatry.
[25] Dustin Scheinost,et al. Influences on the Test–Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility , 2017, Cerebral cortex.
[26] Evan M. Gordon,et al. Precision Functional Mapping of Individual Human Brains , 2017, Neuron.
[27] Thomas E. Nichols,et al. Scanning the horizon: towards transparent and reproducible neuroimaging research , 2016, Nature Reviews Neuroscience.
[28] Angela R. Laird,et al. Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation , 2016, NeuroImage.
[29] P. Fitzgerald,et al. A STUDY OF THE PATTERN OF RESPONSE TO rTMS TREATMENT IN DEPRESSION , 2016, Depression and anxiety.
[30] Antonello Baldassarre,et al. Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke , 2016, Proceedings of the National Academy of Sciences.
[31] Ann S. Choe,et al. Reproducibility and Temporal Structure in Weekly Resting-State fMRI over a Period of 3.5 Years , 2015, PloS one.
[32] S. Goodman,et al. Meta-research: Evaluation and Improvement of Research Methods and Practices , 2015, PLoS biology.
[33] Á. Pascual-Leone,et al. Network localization of neurological symptoms from focal brain lesions. , 2015, Brain : a journal of neurology.
[34] P. Fox,et al. Identification of a common neurobiological substrate for mental illness. , 2015, JAMA psychiatry.
[35] S. Kennedy,et al. rTMS of the Dorsomedial Prefrontal Cortex for Major Depression: Safety, Tolerability, Effectiveness, and Outcome Predictors for 10 Hz Versus Intermittent Theta-burst Stimulation , 2015, Brain Stimulation.
[36] M. Breakspear,et al. The connectomics of brain disorders , 2015, Nature Reviews Neuroscience.
[37] R. Buckner,et al. Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases , 2014, Proceedings of the National Academy of Sciences.
[38] Jonathan D. Power,et al. Intrinsic and Task-Evoked Network Architectures of the Human Brain , 2014, Neuron.
[39] Mary E. Meyerand,et al. The effect of scan length on the reliability of resting-state fMRI connectivity estimates , 2013, NeuroImage.
[40] Mark W. Woolrich,et al. Resting-state fMRI in the Human Connectome Project , 2013, NeuroImage.
[41] Mark Jenkinson,et al. The minimal preprocessing pipelines for the Human Connectome Project , 2013, NeuroImage.
[42] Yong He,et al. BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics , 2013, PloS one.
[43] Z. Daskalakis,et al. New Targets for rTMS in Depression: A Review of Convergent Evidence , 2013, Brain Stimulation.
[44] Brian A. Nosek,et al. Power failure: why small sample size undermines the reliability of neuroscience , 2013, Nature Reviews Neuroscience.
[45] S. Costafreda,et al. Emotional valence modulates brain functional abnormalities in depression: Evidence from a meta-analysis of fMRI studies , 2013, Neuroscience & Biobehavioral Reviews.
[46] Alvaro Pascual-Leone,et al. Identification of reproducible individualized targets for treatment of depression with TMS based on intrinsic connectivity , 2013, NeuroImage.
[47] Joshua Carp,et al. On the Plurality of (Methodological) Worlds: Estimating the Analytic Flexibility of fMRI Experiments , 2012, Front. Neurosci..
[48] Alvaro Pascual-Leone,et al. Measuring and manipulating brain connectivity with resting state functional connectivity magnetic resonance imaging (fcMRI) and transcranial magnetic stimulation (TMS) , 2012, NeuroImage.
[49] 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.
[50] Jason B. Mattingley,et al. Is there a critical lesion site for unilateral spatial neglect? A meta-analysis using activation likelihood estimation , 2012, Front. Hum. Neurosci..
[51] Clement Hamani,et al. The Subcallosal Cingulate Gyrus in the Context of Major Depression , 2011, Biological Psychiatry.
[52] T. Egner,et al. Emotional processing in anterior cingulate and medial prefrontal cortex , 2011, Trends in Cognitive Sciences.
[53] Edward T. Bullmore,et al. Network-based statistic: Identifying differences in brain networks , 2010, NeuroImage.
[54] 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.
[55] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[56] Mark S. George,et al. An efficient and accurate new method for locating the F3 position for prefrontal TMS applications , 2009, Brain Stimulation.
[57] M. Fox,et al. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.
[58] Justin L. Vincent,et al. Intrinsic functional architecture in the anaesthetized monkey brain , 2007, Nature.
[59] L. Abbott,et al. Synaptic plasticity: taming the beast , 2000, Nature Neuroscience.
[60] J. W. Papez. A PROPOSED MECHANISM OF EMOTION , 1937 .
[61] P. Fox,et al. Altered Brain Activity in Unipolar Depression Revisited: Meta-analyses of Neuroimaging Studies , 2017, JAMA psychiatry.
[62] D. Barch,et al. Consistency, Replication, and Meta-analyses of Altered Brain Activity in Unipolar Depression. , 2017, JAMA psychiatry.
[63] H. Mayberg. Limbic-cortical dysregulation: a proposed model of depression. , 1997, The Journal of neuropsychiatry and clinical neurosciences.