Subgenual Functional Connectivity Predicts Antidepressant Treatment Response to Transcranial Magnetic Stimulation: Independent Validation and Evaluation of Personalization

[1]  Ben D. Fulcher,et al.  Responders to rTMS for depression show increased fronto-midline theta and theta connectivity compared to non-responders , 2018, Brain Stimulation.

[2]  Á. Pascual-Leone,et al.  Prospective Validation That Subgenual Connectivity Predicts Antidepressant Efficacy of Transcranial Magnetic Stimulation Sites , 2017, Biological Psychiatry.

[3]  Christos Davatzikos,et al.  Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity , 2017, NeuroImage.

[4]  Ben D. Fulcher,et al.  An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI , 2017, NeuroImage.

[5]  Thomas E. Nichols,et al.  Scanning the horizon: towards transparent and reproducible neuroimaging research , 2016, Nature Reviews Neuroscience.

[6]  Maarten Mennes,et al.  Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI , 2015, NeuroImage.

[7]  Alberto Llera,et al.  ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data , 2015, NeuroImage.

[8]  Mark W. Woolrich,et al.  Resting-state fMRI in the Human Connectome Project , 2013, NeuroImage.

[9]  Mark Jenkinson,et al.  The minimal preprocessing pipelines for the Human Connectome Project , 2013, NeuroImage.

[10]  Brian A. Nosek,et al.  Power failure: why small sample size undermines the reliability of neuroscience , 2013, Nature Reviews Neuroscience.

[11]  Alvaro Pascual-Leone,et al.  Identification of reproducible individualized targets for treatment of depression with TMS based on intrinsic connectivity , 2013, NeuroImage.

[12]  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.

[13]  Mark W. Woolrich,et al.  FSL , 2012, NeuroImage.

[14]  M. Fox,et al.  The global signal and observed anticorrelated resting state brain networks. , 2009, Journal of neurophysiology.

[15]  Mark S. George,et al.  An efficient and accurate new method for locating the F3 position for prefrontal TMS applications , 2009, Brain Stimulation.

[16]  Masako Okamoto,et al.  Three-dimensional probabilistic anatomical cranio-cerebral correlation via the international 10–20 system oriented for transcranial functional brain mapping , 2004, NeuroImage.

[17]  M. Greicius,et al.  Decoding subject-driven cognitive states with whole-brain connectivity patterns. , 2012, Cerebral cortex.