相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Effectiveness of theta burst versus high-frequency repetitive transcranial magnetic stimulation in patients with depression (THREE-D): a randomised non-inferiority trial
Daniel M. Blumberger et al.
LANCET (2018)
Pre-treatment EEG signal variability is associated with treatment success in depression
Natalia Jaworska et al.
NEUROIMAGE-CLINICAL (2018)
Abnormal functional connectivity within resting-state networks is related to rTMS-based therapy effects of treatment resistant depression: A pilot study
Ruiyang Ge et al.
JOURNAL OF AFFECTIVE DISORDERS (2017)
Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression
Faranak Farzan et al.
SCIENTIFIC REPORTS (2017)
Brain temporal complexity in explaining the therapeutic and cognitive effects of seizure therapy
Faranak Farzan et al.
BRAIN (2017)
Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system
Jasmin Kevric et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2017)
Discovering biomarkers for antidepressant response: protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics of the first patient cohort
Raymond W. Lam et al.
BMC PSYCHIATRY (2016)
Sinus Tachycardia Induced by Methocarbamol and Repetitive Transcranial Magnetic Stimulation (rTMS)
Christine E. Dobek et al.
BRAIN STIMULATION (2016)
Canadian Network for Mood and Anxiety Treatments (CANMAT) 2016 Clinical Guidelines for the Management of Adults with Major Depressive Disorder: Section 4. Neurostimulation Treatments
Roumen V. Milev et al.
CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE (2016)
Multimodal Approaches to Define Network Oscillations in Depression
Otis Lkuwamy Smart et al.
BIOLOGICAL PSYCHIATRY (2015)
NEUROBIOLOGICAL PREDICTORS OF RESPONSE TO DORSOLATERAL PREFRONTAL CORTEX REPETITIVE TRANSCRANIAL MAGNETIC STIMULATION IN DEPRESSION: A SYSTEMATIC REVIEW
William K. Silverstein et al.
DEPRESSION AND ANXIETY (2015)
Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance
Turker Tekin Erguzel et al.
PSYCHIATRY INVESTIGATION (2015)
QEEG Theta Cordance in the Prediction of Treatment Outcome to Prefrontal Repetitive Transcranial Magnetic Stimulation or Venlafaxine ER in Patients With Major Depressive Disorder
Martin Bares et al.
CLINICAL EEG AND NEUROSCIENCE (2015)
Monitoring depth of anesthesia using combination of EEG measure and hemodynamic variables
R. Shalbaf et al.
COGNITIVE NEURODYNAMICS (2015)
Frontal-Temporal Synchronization of EEG Signals Quantified by Order Patterns Cross Recurrence Analysis During Propofol Anesthesia
Reza Shalbaf et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2015)
Non-linear EEG analyses predict non-response to rTMS treatment in major depressive disorder
Martijn Arns et al.
CLINICAL NEUROPHYSIOLOGY (2014)
Subgenual Cingulate Theta Activity Predicts Treatment Response of Repetitive Transcranial Magnetic Stimulation in Participants With Vascular Depression
Kenji Narushima et al.
JOURNAL OF NEUROPSYCHIATRY AND CLINICAL NEUROSCIENCES (2014)
Human Biomarkers of Rapid Antidepressant Effects
Carlos A. Zarate et al.
BIOLOGICAL PSYCHIATRY (2013)
Baseline and Treatment-Emergent EEG Biomarkers of Antidepressant Medication Response Do Not Predict Response to Repetitive Transcranial Magnetic Stimulation
Alik S. Widge et al.
BRAIN STIMULATION (2013)
Monitoring the depth of anesthesia using entropy features and an artificial neural network
Reza Shalbaf et al.
JOURNAL OF NEUROSCIENCE METHODS (2013)
Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010
Alize J. Ferrari et al.
PLOS MEDICINE (2013)
Neurophysiological predictors of non-response to rTMS in depression
Martijn Arns et al.
BRAIN STIMULATION (2012)
Parieto-temporal alpha EEG band power at baseline as a predictor of antidepressant treatment response with repetitive Transcranial Magnetic Stimulation: A preliminary study
Jean-Arthur Micoulaud-Franchi et al.
JOURNAL OF AFFECTIVE DISORDERS (2012)
Empirical mode decomposition based detrended sample entropy in electroencephalography for Alzheimer's disease
Ping-Huang Tsai et al.
JOURNAL OF NEUROSCIENCE METHODS (2012)
The neurobiology of the EEG biomarker as a predictor of treatment response in depression
Anusha Baskaran et al.
NEUROPHARMACOLOGY (2012)
Using the Hilbert-Huang transform to measure the electroencephalographic effect of propofol
R. Shalbaf et al.
PHYSIOLOGICAL MEASUREMENT (2012)
IMPROVING THE ANTIDEPRESSANT EFFICACY OF TRANSCRANIAL MAGNETIC STIMULATION: MAXIMIZING THE NUMBER OF STIMULATIONS AND TREATMENT LOCATION IN TREATMENT-RESISTANT DEPRESSION
William M. McDonald et al.
DEPRESSION AND ANXIETY (2011)
Grand challenges in global mental health
Pamela Y. Collins et al.
NATURE (2011)
Assessment of EEG dynamical complexity in Alzheimer's disease using multiscale entropy
Tomoyuki Mizuno et al.
CLINICAL NEUROPHYSIOLOGY (2010)
Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus
Yvette I. Sheline et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2010)
Nonlinear phase interaction between nonstationary signals: A comparison study of methods based on Hilbert-Huang and Fourier transforms
Men-Tzung Lo et al.
PHYSICAL REVIEW E (2009)
Current trends in the assessment and somatic treatment of resistant/refractory major depression: An overview
Marcelo T. Berlim et al.
ANNALS OF MEDICINE (2008)
Appraisal of sessional EEG features as a correlate of clinical changes in an rTMS treatment of depression
G. W. Price et al.
CLINICAL EEG AND NEUROSCIENCE (2008)
A novel approach to the detection of synchronisation in EEG based on empirical mode decomposition
C. M. Sweeney-Reed et al.
JOURNAL OF COMPUTATIONAL NEUROSCIENCE (2007)
The pathogenesis of clinical depression: Stressor- and cytokine-induced alterations of neuroplasticity
S Hayley et al.
NEUROSCIENCE (2005)
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
A Delorme et al.
JOURNAL OF NEUROSCIENCE METHODS (2004)
Detecting dynamical changes in time series using the permutation entropy
YH Cao et al.
PHYSICAL REVIEW E (2004)
Permutation entropy: A natural complexity measure for time series
C Bandt et al.
PHYSICAL REVIEW LETTERS (2002)
分享论文
