Connectivity measures are robust biomarkers of cortical function and plasticity after stroke.
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Lucy Dodakian | Ramesh Srinivasan | Jennifer Wu | Steven C Cramer | Erin Burke Quinlan | R. Srinivasan | S. Cramer | V. Le | J. See | L. Dodakian | A. McKenzie | E. Quinlan | Robert J. Zhou | Nikhita Kathuria | Jennifer Wu | Renee Augsburger | Jill See | Alison McKenzie | Nikhita Kathuria | Robert J Zhou | Renee Augsburger | Vu H Le
[1] Anthony Randal McIntosh,et al. Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review , 2011, NeuroImage.
[2] W. Byblow,et al. Functional potential in chronic stroke patients depends on corticospinal tract integrity. , 2006, Brain : a journal of neurology.
[3] P. Matthews,et al. The role of ipsilateral premotor cortex in hand movement after stroke , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[4] Christoph M. Michel,et al. The behavioral significance of coherent resting-state oscillations after stroke , 2012, NeuroImage.
[5] Zhong-Lin Lu,et al. Changes in Resting State Effective Connectivity in the Motor Network Following Rehabilitation of Upper Extremity Poststroke Paresis , 2009, Topics in stroke rehabilitation.
[6] P. Matthews,et al. Functional MRI Detects Posterior Shifts in Primary Sensorimotor Cortex Activation After Stroke: Evidence of Local Adaptive Reorganization? , 2001, Stroke.
[7] K. Uğurbil,et al. Analysis of fMRI and finger tracking training in subjects with chronic stroke. , 2002, Brain : a journal of neurology.
[8] Terrence J. Sejnowski,et al. Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis , 2007, NeuroImage.
[9] P. Matthews,et al. Walking performance and its recovery in chronic stroke in relation to extent of lesion overlap with the descending motor tract , 2008, Experimental Brain Research.
[10] Richard S. J. Frackowiak,et al. Neural correlates of motor recovery after stroke: a longitudinal fMRI study. , 2003, Brain : a journal of neurology.
[11] H. Freund,et al. Role of the premotor cortex in recovery from middle cerebral artery infarction. , 1998, Archives of neurology.
[12] François Chollet,et al. Correlation between cerebral reorganization and motor recovery after subcortical infarcts , 2003, NeuroImage.
[13] M. Hallett,et al. Involvement of the ipsilateral motor cortex in finger movements of different complexities , 1997, Annals of neurology.
[14] Chi-Hua Chen,et al. Neurocognitive endophenotypes of obsessive-compulsive disorder. , 2007, Brain : a journal of neurology.
[15] Babak Shahbaba,et al. Neural function, injury, and stroke subtype predict treatment gains after stroke , 2015, Annals of neurology.
[16] Stephen M. Smith,et al. Correlation between motor improvements and altered fMRI activity after rehabilitative therapy. , 2002, Brain : a journal of neurology.
[17] Ramesh Srinivasan,et al. Neural Strategies for Selective Attention Distinguish Fast-Action Video Game Players , 2012, Brain Topography.
[18] Richard S. J. Frackowiak,et al. Neural correlates of outcome after stroke: a cross-sectional fMRI study. , 2003, Brain : a journal of neurology.
[19] S. Cramer. Stratifying patients with stroke in trials that target brain repair. , 2010, Stroke.
[20] S. Hallerb,et al. Real-time fMRI neurofeedback : progress and challenges , 2017 .
[21] G. Deco,et al. Emerging concepts for the dynamical organization of resting-state activity in the brain , 2010, Nature Reviews Neuroscience.
[22] J. Baron,et al. Motor imagery after stroke: Relating outcome to motor network connectivity , 2009, Annals of neurology.
[23] Xin Huang,et al. Optimal Combinations of Diagnostic Tests Based on AUC , 2011, Biometrics.
[24] B. Dobkin,et al. Predictors and Biomarkers of Treatment Gains in a Clinical Stroke Trial Targeting the Lower Extremity , 2014, Stroke.
[25] Rick M Dijkhuizen,et al. Increase in Sensorimotor Cortex Response to Somatosensory Stimulation Over Subacute Poststroke Period Correlates With Motor Recovery in Hemiparetic Patients , 2012, Neurorehabilitation and neural repair.
[26] Tianzi Jiang,et al. Modulation of functional connectivity during the resting state and the motor task , 2004, Human brain mapping.
[27] Á. Pascual-Leone,et al. Longitudinal Changes of Resting-State Functional Connectivity During Motor Recovery After Stroke , 2011, Stroke.
[28] Jie Tian,et al. A Longitudinal Study of Hand Motor Recovery after Sub-Acute Stroke: A Study Combined fMRI with Diffusion Tensor Imaging , 2013, PloS one.
[29] Steven C. Cramer. Repairing the human brain after stroke: I. Mechanisms of spontaneous recovery , 2008, Annals of neurology.
[30] L. Der-Yeghiaian,et al. Robot-based hand motor therapy after stroke. , 2007, Brain : a journal of neurology.
[31] Steven C. Cramer,et al. Resting-state cortical connectivity predicts motor skill acquisition , 2014, NeuroImage.
[32] Steven C Cramer,et al. Anatomy of Stroke Injury Predicts Gains From Therapy , 2011, Stroke.
[33] Sergei V. Adamovich,et al. Resting state functional connectivity and task-related effective connectivity changes after upper extremity rehabilitation: a pilot study , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[34] Dongrong Xu,et al. Altered topological properties of the cortical motor‐related network in patients with subcortical stroke revealed by graph theoretical analysis , 2014, Human brain mapping.
[35] Don M. Tucker,et al. Localizing Acute Stroke-related EEG Changes:: Assessing the Effects of Spatial Undersampling , 2001, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[36] Steven C. Cramer,et al. Somatotopy and movement representation sites following cortical stroke , 2005, Experimental Brain Research.
[37] M. Hallett,et al. Multimodal imaging of brain reorganization in motor areas of the contralesional hemisphere of well recovered patients after capsular stroke. , 2006, Brain : a journal of neurology.
[38] Bradley D. Hatfield,et al. Electroencephalographic Coherence During Visuomotor Performance: A Comparison of Cortico-Cortical Communication in Experts and Novices , 2009, Journal of motor behavior.
[39] Simon B. Eickhoff,et al. A quantitative meta-analysis and review of motor learning in the human brain , 2013, NeuroImage.
[40] S. Cramer,et al. Biomarkers and Predictors of Restorative Therapy Effects After Stroke , 2013, Current Neurology and Neuroscience Reports.
[41] Nicholas A. Ketz,et al. Enhanced Brain Correlations during Rest Are Related to Memory for Recent Experiences , 2010, Neuron.
[42] S. Cramer,et al. Targeted engagement of a dorsal premotor circuit in the treatment of post-stroke paresis. , 2013, NeuroRehabilitation.
[43] R. Homan,et al. Cerebral location of international 10-20 system electrode placement. , 1987, Electroencephalography and clinical neurophysiology.
[44] G. Schlaug,et al. Structural integrity of corticospinal motor fibers predicts motor impairment in chronic stroke , 2010, Neurology.
[45] G. Fink,et al. Reorganization of cerebral networks after stroke: new insights from neuroimaging with connectivity approaches , 2011, Brain : a journal of neurology.
[46] Liang Wang,et al. Dynamic functional reorganization of the motor execution network after stroke. , 2010, Brain : a journal of neurology.
[47] Lili Tian,et al. Linear combination methods to improve diagnostic/prognostic accuracy on future observations , 2016, Statistical methods in medical research.
[48] Miles A Whittington,et al. A beta2-frequency (20–30 Hz) oscillation in nonsynaptic networks of somatosensory cortex , 2006, Proceedings of the National Academy of Sciences.
[49] Steven C Cramer,et al. Repairing the human brain after stroke. II. Restorative therapies , 2008, Annals of neurology.
[50] M. Viergever,et al. Recovery of Sensorimotor Function after Experimental Stroke Correlates with Restoration of Resting-State Interhemispheric Functional Connectivity , 2010, The Journal of Neuroscience.
[51] B Saltzberg,et al. Electrophysiological measures of regional neural interactive coupling. Linear and non-linear dependence relationships among multiple channel electroencephalographic recordings. , 1986, International journal of bio-medical computing.
[52] John W Krakauer,et al. Early imaging correlates of subsequent motor recovery after stroke , 2009, Annals of neurology.
[53] L. Cohen,et al. Influence of interhemispheric interactions on motor function in chronic stroke , 2004, Annals of neurology.
[54] Abraham Z. Snyder,et al. Upstream Dysfunction of Somatomotor Functional Connectivity After Corticospinal Damage in Stroke , 2012, Neurorehabilitation and neural repair.
[55] P. Nunez,et al. Electric fields of the brain , 1981 .
[56] Jeffrey D. Riley,et al. A multimodal approach to understanding motor impairment and disability after stroke , 2014, Journal of Neurology.
[57] G. Pfurtscheller,et al. Post-movement beta synchronization. A correlate of an idling motor area? , 1996, Electroencephalography and clinical neurophysiology.
[58] Cathy C. Y. Chou,et al. A Standardized Approach to the Fugl-Meyer Assessment and Its Implications for Clinical Trials , 2013, Neurorehabilitation and neural repair.
[59] S. Rathore,et al. Characterization of Incident Stroke Signs and Symptoms: Findings From the Atherosclerosis Risk in Communities Study , 2002, Stroke.
[60] Age K. Smilde,et al. Direct orthogonal signal correction , 2001 .
[61] Robert Lindenberg,et al. Lesion Load of the Corticospinal Tract Predicts Motor Impairment in Chronic Stroke , 2010, Stroke.
[62] J. Saver,et al. Statistical Analysis of the Primary Outcome in Acute Stroke Trials , 2012, Stroke.
[63] Gary F. Egan,et al. Evolution of Brain Activation with Good and Poor Motor Recovery after Stroke , 2006, Neurorehabilitation and neural repair.
[64] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[65] G. Fink,et al. Cortical connectivity after subcortical stroke assessed with functional magnetic resonance imaging , 2008, Annals of neurology.
[66] M. Corbetta,et al. Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke , 2009, Annals of neurology.
[67] N. Birbaumer,et al. Resting State Changes in Functional Connectivity Correlate With Movement Recovery for BCI and Robot-Assisted Upper-Extremity Training After Stroke , 2013, Neurorehabilitation and neural repair.
[68] Maurizio Corbetta,et al. Why use a connectivity-based approach to study stroke and recovery of function? , 2012, NeuroImage.
[69] F. Cincotti,et al. Evaluation of the Brain Network Organization From EEG Signals: A Preliminary Evidence in Stroke Patient , 2009, Anatomical record.
[70] Rasmus Bro,et al. The N-way Toolbox for MATLAB , 2000 .
[71] Simon B. Eickhoff,et al. Dynamic causal modeling of cortical activity from the acute to the chronic stage after stroke , 2011, NeuroImage.
[72] P. Skudlarski,et al. Brain Connectivity Related to Working Memory Performance , 2006, The Journal of Neuroscience.
[73] I. Miyai,et al. Near-infrared Spectroscopy–mediated Neurofeedback Enhances Efficacy of Motor Imagery–based Training in Poststroke Victims: A Pilot Study , 2013, Stroke.