Responders to rTMS for depression show increased fronto-midline theta and theta connectivity compared to non-responders

Cited by (162)

Items 101–162 of 162

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    Shelby Prokop-Millar, Anne-Marie Di Passa, Horodjei Yaya, Carly McIntyre‐Wood, Faranak Farzan, Alex R. Terpstra, Allan J. Fein, Emily Vandehei, Emily MacKillop, James M. MacKillop et al. · 2025 · Journal of Affective Disorders
  2. Major depressive disorder is characterized by differential theta and alpha patterns during working memory updating
    Hao Tang, Xumiao Wang, Qing Lü, Shuai Zhao, Haowen Zou, Lingling Hua, Zhilu Chen, Jiabo Shi, Zhijian Yao · 2025 · BMC Psychiatry
  3. Resting-state EEG activity in depression: a systematic review and meta-analysis
    Henrik Heitmann, Jean-Francois Siani, Paul Theo Zebhauser, Peter Henningsen, Stefan Leucht, Josef Priller, Markus Ploner · 2026 · NeuroImage Clinical
  4. Therapeutic dose prediction of α5-GABA receptor modulation from simulated EEG of depression severity
    Alexandre Guet-McCreight, Frank Mazza, Thomas D. Prévot, Etienne L. Sibille, Etay Hay · 2024 · PLoS Computational Biology
  5. Sub-acute stroke demonstrates altered beta oscillation and connectivity pattern in working memory
    Lin Mao, Xianwei Che, Juehan Wang, Xiaorui Jiang, Yifan Zhao, Liliang Zou, Shuang Wei, Shuyi Pan, Dazhi Guo, Xueqiong Zhu et al. · 2024 · Journal of NeuroEngineering and Rehabilitation
  6. Home-based transcranial direct current stimulation (tDCS) in major depressive disorder: Enhanced network synchronization with active relative to sham and deep learning-based predictors of remission
    Wenyi Xiao, Jijomon C. Moncy, Rachel D. Woodham, Sudhakar Selvaraj, Nahed Lajmi, Harriet Hobday, Gabrielle Sheehan, Ali-Reza Ghazi-Noori, Peter J. Lagerberg, Rodrigo Machado‐Vieira et al. · 2025 · Personalized Medicine in Psychiatry
  7. Role of neural oscillations in depression: highlights on gamma oscillations
    Yong‐Yu Yin, Yunfeng Li · 2026 · Translational Psychiatry
  8. Resting-state EEG connectivity recorded before and after rTMS treatment in patients with treatment-resistant depression
    Kate E.M. Godfrey, Suresh D Muthukumaraswamy, Cathy M. Stinear, Nicholas R. Hoeh · 2023 · Psychiatry Research Neuroimaging
  9. An Overview of Machine Learning Applications in Mood Disorders
    Natasha Topolski, Su Hyun Jeong, Benson Mwangi · 2021 · Cambridge University Press eBooks
  10. Electroencephalography Biomarkers of α5-GABA Positive Allosteric Modulators in Rodents
    Frank Mazza, Alexandre Guet-McCreight, Thomas D. Prévot, Taufik A. Valiante, Etienne L. Sibille, Etay Hay · 2024 · Biological Psychiatry Global Open Science
  11. Sex differences in innate and adaptive neural oscillatory patterns predict resilience and susceptibility to chronic stress in rats
    Rachel-Karson Thériault, Joshua D. Manduca, Melissa L. Perreault · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
  12. Artificial Intelligence in Mental Healthcare
    Ashfaq Jafar, Shabnam Shabnam, Azizuddin Khan · 2025 · Advances in computational intelligence and robotics book series
  13. Endocannabinoids, depression, and treatment resistance: Perspectives on effective therapeutic interventions
    Ilenia Rosa, Lorenzo Pio Padula, Francesco Semeraro, Carlotta Marrangone, Antonio Inserra, Luisa De Risio, Marta Boffa, Francesca Zoratto, Marta Borgi, Roberto Guidotti et al. · 2025 · Psychiatry Research
  14. Mapping the Digital Mind: A Meta-Analysis of EEG Biomarkers in Cognition, Emotion, and Mental Health
    Constantinos Halkiopoulos, Evgenia Gkintoni, Basilis Boutsinas · 2026 · Brain Sciences
  15. Dynamical pattern of successive bits to predict the outcomes of the SSRI and rTMS depression therapies using EEG signals
    Hesam Akbari, Wael Korani, Priyan Malarvizhi Kumar, Reza Rostami, Reza Kazemi · 2025 · Computers in Biology and Medicine
  16. Mood Disorders
    2021 · Cambridge University Press eBooks
  17. The promise of artificial neural networks, EEG, and MRI for Alzheimer’s disease
    Neil Wayne Bailey, Kate E. Hoy · 2020 · Clinical Neurophysiology
  18. EEG biomarkers of reduced inhibition in human cortical microcircuits in depression
    Frank Mazza, Taufik A. Valiante, John David Griffiths, Etay Hay · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  19. Functional brain network modulation following conventional and optimized HD-tDCS in major depressive disorder: A machine learning prediction of treatment response
    Mikaeil Tabarraei, Sepideh Jabbari, Marzieh Abdi, Mohsen Dadashi, Mohammad Ali Salehinejad · 2026 · Journal of Affective Disorders
  20. Neuroimaging Studies of Effects of Psychotherapy in Depression
    Isabelle E. Bauer, Thomas Daniel Meyer · 2021 · Cambridge University Press eBooks
  21. Predicting the Treatment Response of Patients With Major Depressive Disorder to Selective Serotonin Reuptake Inhibitors Using Machine Learning Techniques and EEG Functional Connectivity Features
    Fanglan Wang, Zifan You, Tingkai Zhang, Kai Xu, Liangliang Wang, Jingqi He, Jinsong Tang · 2025 · Depression and Anxiety
  22. Electrophysiological Biomarkers for Mood Disorders
    Nithya Ramakrishnan, Nicholas Murphy, Sudhakar Selvaraj, Raymond Y. Cho · 2021 · Cambridge University Press eBooks
  23. Baseline resting EEG measures differentiate rTMS treatment responders and non-responders
    Pakin Kaewpijit, Paul Bernard Fitzgerald, Kate E. Hoy, Neil Wayne Bailey · 2023 · medRxiv
  24. Brain stimulation outcome prediction in Major Depressive Disorder by deep learning models using EEG representations
    Mohsen Sadat Shahabi, Ahmad Shalbaf, Reza Rostami, Reza Kazemi · 2025 · Computer Methods in Biomechanics & Biomedical Engineering
  25. Differential neural responses to rhythmic and patterned TMS protocols: Insights from EEG spectral analysis
    Thomas E. Valles, Mohamad Shamas, Hope Hawkins, Cole D. Matthews, Doan Ngo, Hrag Peltekian, Hewa Artin, Margaret G. Distler, Dustin Z. DeYoung, Evan Hy Einstein et al. · 2026 · Neuropsychopharmacology
  26. Brain Imaging and the Mechanisms of Antidepressant Action
    Beata R. Godlewska, Sudhakar Selvaraj, Philip J. Cowen · 2021 · Cambridge University Press eBooks
  27. Effects of Lithium on Brain Structure in Bipolar Disorder
    Jasmine Kaur, Vivian Kafantaris, Philip R. Szeszko · 2021 · Cambridge University Press eBooks
  28. Functional Connectome in Bipolar Disorder
    Jungwon Cha, Amit Anand · 2021 · Cambridge University Press eBooks
  29. Getting at Underlying Mechanisms of Far Transfer - the Mediating Role of Near Transfer
    Anja Pahor, Aaron R. Seitz, Susanne M. Jaeggi · 2021
  30. Machine Learning Decomposition of the Depression Connectome Provides Potential Markers and Targets for Transcranial Magnetic Stimulation
    Hugh Taylor, Peter Nicholas, Onur Tanglay, Isabella M. Young, Stéphane Doyen, Michael Edward Sughrue, Paul Bernard Fitzgerald · 2022 · Research Square
  31. Using Neuroimaging and Electroencephalography for Prediction of Treatment Resistance in Psychiatric Disorders
    Je‐Yeon Yun, Seung‐Hwan Lee · 2018 · Springer eBooks
  32. The Combined and Differential Effects of Monophasic and Biphasic Repetitive Transcranial Magnetic Stimulation on ERP-Indexed Attentional Processing in Treatment-Resistant Depression
    Molly Hyde · 2019 · uO Research (University of Ottawa)
  33. Imaging Genetic and Epigenetic Markers in Mood Disorders
    Sara Poletti, Elena A. Mazza, Benedetta Vai, Francesco Benedetti · 2021 · Cambridge University Press eBooks
  34. Brain Imaging of Reward Dysfunction in Unipolar and Bipolar Disorders
    Poornima Kumar, Yueyi Jiang, Alexis Estelle Whitton · 2021 · Cambridge University Press eBooks
  35. Resting-State Functional Connectivity in Unipolar Depression
    Ziqi Chen, Qiyong Gong · 2021 · Cambridge University Press eBooks
  36. Brain Imaging Methods in Mood Disorders
    Sudhakar Selvaraj, Paolo Brambilla, Jair C. Soares · 2021 · Cambridge University Press eBooks
  37. Magnetic Resonance Spectroscopy Investigations of Bioenergy and Mitochondrial Function in Mood Disorders
    Brent Michael Kious, Perry Franklin Renshaw · 2021 · Cambridge University Press eBooks
  38. Neuroimaging Brain Inflammation in Mood Disorders
    Jeffrey H. Meyer · 2021 · Cambridge University Press eBooks
  39. Functional Near-Infrared Spectroscopy Studies in Mood Disorders
    Koji Matsuo, Toshio Matsubara · 2021 · Cambridge University Press eBooks
  40. Neuroanatomical Findings in Unipolar Depression and the Role of the Hippocampus
    Danilo Arnone · 2021 · Cambridge University Press eBooks
  41. Neuroimaging Biomarkers in Pediatric Mood Disorders
    Melissa Packer West, Whitney J. Tang, Manpreet K. Singh · 2021 · Cambridge University Press eBooks
  42. fMRI Neurofeedback as Treatment for Depression
    Léon Skottnik, David E.J. Linden · 2021 · Cambridge University Press eBooks
  43. Neuroanatomical Findings in Bipolar Disorder
    Giulia Tronchin, Colm McDonald · 2021 · Cambridge University Press eBooks
  44. Imaging Glutamatergic and GABAergic Abnormalities in Mood Disorders
    Estêvão Scotti-Muzzi, Maria Concepción García Otaduy, Márcio Gerhardt Soeiro‐de‐Souza, Rodrigo Machado‐Vieira · 2021 · Cambridge University Press eBooks
  45. Molecular Imaging of Dopamine and Antipsychotics in Bipolar Disorder
    Sameer Jauhar · 2021 · Cambridge University Press eBooks
  46. Magnetoencephalography Studies in Mood Disorders
    Allison Carol Nugent · 2021 · Cambridge University Press eBooks
  47. Transcranial direct current stimulation (tDCS) combined with cognitive emotional training (CET) as a novel treatment for depression
    Donel M Martin, Stevan Nikolin · 2021 · Elsevier eBooks
  48. Two steps forward, one step back
    Noralie Krepel · 2021 · Research Publications (Maastricht University)
  49. Index
    Sudhakar Selvaraj, Paolo Brambilla, Jair C. Soares · 2021 · Cambridge University Press eBooks
  50. Preface
    Sudhakar Selvaraj, Paolo Brambilla, Jair C. Soares · 2021 · Cambridge University Press eBooks
  51. Neural temporal dynamics of negative emotional symptoms after iTBS in patients with stroke: a TMS-EEG study
    Qian Liu, Xue Yang, Hongmei Zhang, Yihuan Lu, Xueting Chen, Tianling Wang, Liqing Yao · 2023 · Research Square
  52. Cerebellar iTBS Combined With Emotional Stroop Task for Post-Stroke Depression: Randomized Controlled Trial Protocol From Kunming, China
    Zihan Chen, Xue Yang, Yao Zhou, Qian Liu, Hongmei Zhang, Haotian Wu, Xiaochen Li, Liqing Yao · 2025 · Research Square
  53. Predicting Depression Therapy Outcomes Using EEG-Derived Amplitude Polar Maps
    Hesam Akbari, Wael Korani, Sadiq Youssef Muhammad, Reza Rostami, Reza Kazemi, Muhammad Tariq Sadiq · 2025 · Brain Sciences
  54. EEG-Based Prediction of rTMS Treatment Response in Depression: Nonlinear Features and Machine Learning with Minimal Electrode
    Chun-Hung Chang, Alexander Thomas Sack, Che‐Sheng Chu, Hsin‐An Chang · 2025 · medRxiv
  55. Additional file 2 of Analysis of EEG features and study of automatic classification in first-episode and drug-naïve patients with major depressive disorder
    Huang, Yuanyuan, Yun Yi, Qiang Chen, Li, Hehua, Shixuan Feng, Sumiao Zhou, Ziyun Zhang, Chenyu Liu, Li, Junhao, Qiuling Lu et al. · 2024 · Figshare
  56. Additional file 1 of Analysis of EEG features and study of automatic classification in first-episode and drug-naïve patients with major depressive disorder
    Huang, Yuanyuan, Yun Yi, Qiang Chen, Li, Hehua, Shixuan Feng, Sumiao Zhou, Ziyun Zhang, Liu, Chenyu, Li, Junhao, Lu, Qiuling et al. · 2024 · Figshare
  57. A multifeature machine learning and resting-state EEG study reveals differences in beta oscillation in late-life depression with or without mild cognitive impairment
    Shihan Tian, Gaohong Lin, Yijie Zeng, Qiang Wang, Yicheng Lin, Kexin Yao, Z Wang, Zhidai Xiao, J S Chen, Youxuan Zheng et al. · 2026 · BMC Psychiatry
  58. EEG biomarkers of accelerated prolonged intermittent theta-burst stimulation in depression: Machine learning with a minimal-electrode montage
    Chun-Hung Chang, Alexander Thomas Sack, Che‐Sheng Chu, Hsin‐An Chang · 2026 · Brain stimulation
  59. Pro-inflammatory markers interact with spontaneous theta oscillations to predict depression among adolescents
    Mikki D. Schantell, Nayoung Kim, Esha Trivedi, Emma Wool, Madeline M. McGregor, Sarah E. Sarkas, Lilian Y. Li, Allison M. Letkiewicz, Katherine Durham, David Pagliaccio et al. · 2026 · Brain Behavior and Immunity
  60. Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade
    Smith K. Khare, Esmaeil S. Nadimi, U Rajendra Acharya, Victoria Blanes‐Vidal · 2026 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  61. Electroencephalography biomarkers of response to transcranial magnetic stimulation for treatment-resistant major depression: Protocol and rationale of a naturalistic study in veterans
    Amin Zandvakili, Mary E. Kelley, Timothy Lyons, TeChieh Chen, Anne B. Felde, Michael A. Norred, Jong H. Yoon, Zachary D. Zuschlag, Andrew F. Leuchter, Frank Andrew Kozel et al. · 2026 · Personalized Medicine in Psychiatry
  62. Fusion techniques of time frequency-based images to predict the outcome of rTMS depression therapy
    Wael Korani, Md Fahimul Kabir Chowdhury, Mohammed Aledhari, Reza Rostami, Reza Kazemi · 2026 · Biomedical Signal Processing and Control