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Clinical Research

Intermediate phenotypes and biomarkers of treatment outcome in major depressive disorder

Fenotipos intermedios y biomarcadores para el resultado terapéutico en el trastorno depresivo mayor

Phénotypes intermédiaires et biomarqueurs des résultats du traitement du trouble dépressif majeur

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Federico Mucci, Donatella Marazziti, Alessandra Della Vecchia, Stefano Baroni, Gabriele Massimetti, Paolo Morana, Paola Mangiapane, Florinda Morana, Barbara Carpita, Benedetto Morana & Liliana Dell’Osso. (2021) Inflammatory and metabolic markers in patients with mood disorders. The World Journal of Biological Psychiatry 22:3, pages 228-235.
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Dinyadarshini Johnson, Vengadesh Letchumanan, Chern Choong Thum, Sivakumar Thurairajasingam & Learn-Han Lee. (2023) A Microbial-Based Approach to Mental Health: The Potential of Probiotics in the Treatment of Depression. Nutrients 15:6, pages 1382.
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Nidal Moukaddam, Akane Sano, Ramiro Salas, Zakia Hammal & Ashutosh Sabharwal. (2022) Turning data into better mental health: Past, present, and future. Frontiers in Digital Health 4.
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Michel Bourin. 2022. Translational Research Methods for Major Depressive Disorder. Translational Research Methods for Major Depressive Disorder 57 84 .
Kathryn S. Saldaña, Jonathan A. Shaffer, Kevin D. Everhart, Susan L. Kim & Peter S. Kaplan. (2021) Dimensions of depressive symptomatology in mothers derived from factor analyses. Archives of Gynecology and Obstetrics 306:3, pages 707-715.
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Yue Du, Jinxue Wei, Zijian Zhang, Xiao Yang, Min Wang, Yu Wang, Xiongwei Qi, Liansheng Zhao, Yang Tian, Wanjun Guo, Qiang Wang, Wei Deng, Minli Li, Dongtao Lin, Tao Li & Xiaohong Ma. (2021) Plasma Metabolomics Profiling of Metabolic Pathways Affected by Major Depressive Disorder. Frontiers in Psychiatry 12.
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Mrinalini Bhagawati & Sudip Paul. (2021) Machine Learning for Major Depressive Disorder: An Overview. Machine Learning for Major Depressive Disorder: An Overview.
Ulises Ríos. 2021. Etiopathogenic Theories and Models in Depression. Etiopathogenic Theories and Models in Depression 167 180 .
Ian A. Cook, Aimee M. Hunter, Marissa M. Caudill, Michelle J. Abrams & Andrew F. Leuchter. (2020) Prospective testing of a neurophysiologic biomarker for treatment decisions in major depressive disorder: The PRISE-MD trial. Journal of Psychiatric Research 124, pages 159-165.
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Juliana Corlier, Andrew Wilson, Aimee M Hunter, Nikita Vince-Cruz, David Krantz, Jennifer Levitt, Michael J Minzenberg, Nathaniel Ginder, Ian A Cook & Andrew F Leuchter. (2019) Changes in Functional Connectivity Predict Outcome of Repetitive Transcranial Magnetic Stimulation Treatment of Major Depressive Disorder. Cerebral Cortex 29:12, pages 4958-4967.
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NIDAL MOUKADDAM, ANH TRUONG, JIAN CAO, ASIM SHAH & ASHUTOSH SABHARWAL. (2019) Findings From a Trial of the Smartphone and OnLine Usage-based eValuation for Depression (SOLVD) Application: What Do Apps Really Tell Us About Patients with Depression? Concordance Between App-Generated Data and Standard Psychiatric Questionnaires for Depression and Anxiety. Journal of Psychiatric Practice 25:5, pages 365-373.
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Molly McVoyMichelle E. AebiKenneth LoparoSarah LytleAlla MorrisNicole WoodsElizabeth DeylingCurtis TatsuokaFarhad KaffashiSamden LhatooMartha Sajatovic. (2019) Resting-State Quantitative Electroencephalography Demonstrates Differential Connectivity in Adolescents with Major Depressive Disorder. Journal of Child and Adolescent Psychopharmacology 29:5, pages 370-377.
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E. D. Kasyanov, G. E. Mazo & A. O. Kibitov. (2019) The role of family studies in research of neurobiological basis of depressive disorders. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova 119:2, pages 87.
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Gerard J. Marek. 2019. Translational Medicine in CNS Drug Development. Translational Medicine in CNS Drug Development 93 101 .
Aimee M. Hunter, Thien X. Nghiem, Ian A. Cook, David E. Krantz, Michael J. Minzenberg & Andrew F. Leuchter. (2017) Change in Quantitative EEG Theta Cordance as a Potential Predictor of Repetitive Transcranial Magnetic Stimulation Clinical Outcome in Major Depressive Disorder. Clinical EEG and Neuroscience 49:5, pages 306-315.
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Jun-Xi Pan, Jin-Jun Xia, Feng-Li Deng, Wei-Wei Liang, Jing Wu, Bang-Min Yin, Mei-Xue Dong, Jian-Jun Chen, Fei Ye, Hai-Yang Wang, Peng Zheng & Peng Xie. (2018) Diagnosis of major depressive disorder based on changes in multiple plasma neurotransmitters: a targeted metabolomics study. Translational Psychiatry 8:1.
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Oloruntoba J Oluboka, Martin A Katzman, Jeffrey Habert, Diane McIntosh, Glenda M MacQueen, Roumen V Milev, Roger S McIntyre & Pierre Blier. (2018) Functional Recovery in Major Depressive Disorder: Providing Early Optimal Treatment for the Individual Patient. International Journal of Neuropsychopharmacology 21:2, pages 128-144.
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Matea Nikolac Perkovic, Gordana Nedic Erjavec, Dubravka Svob Strac & Nela Pivac. 2018. Understanding Depression. Understanding Depression 35 51 .
Nirupama BenisBenisBenis, Soumya K. Kar, Vitor A. P. Martins dos Santos, Mari A. Smits, Dirkjan Schokker & Maria Suarez-Diez. (2017) Multi-Level Integration of Environmentally Perturbed Internal Phenotypes Reveals Key Points of Connectivity between Them. Frontiers in Physiology 8.
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Michael K. Leuchter, Elissa J. Donzis, Carlos Cepeda, Aimee M. Hunter, Ana María Estrada-Sánchez, Ian A. Cook, Michael S. Levine & Andrew F. Leuchter. (2017) Quantitative Electroencephalographic Biomarkers in Preclinical and Human Studies of Huntington’s Disease: Are They Fit-for-Purpose for Treatment Development?. Frontiers in Neurology 8.
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Frank M. Schmidt, Christian Sander, Marie-Elisa Dietz, Claudia Nowak, Thomas Schröder, Roland Mergl, Peter Schönknecht, Hubertus Himmerich & Ulrich Hegerl. (2017) Brain arousal regulation as response predictor for antidepressant therapy in major depression. Scientific Reports 7:1.
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Marinus te Pas, Ole Madsen, Mario Calus & Mari Smits. (2017) The Importance of Endophenotypes to Evaluate the Relationship between Genotype and External Phenotype. International Journal of Molecular Sciences 18:2, pages 472.
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Joohyung Youh, Ji Sun Hong, Doug Hyun Han, Un Sun Chung, Kyoung Joon Min, Young Sik Lee & Sun Mi Kim. (2017) Comparison of Electroencephalography (EEG) Coherence between Major Depressive Disorder (MDD) without Comorbidity and MDD Comorbid with Internet Gaming Disorder. Journal of Korean Medical Science 32:7, pages 1160.
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Andrew F. Leuchter, Aimee M. Hunter, Felipe A. Jain, Molly Tartter, Caroline Crump & Ian A. Cook. (2017) Escitalopram but not placebo modulates brain rhythmic oscillatory activity in the first week of treatment of Major Depressive Disorder. Journal of Psychiatric Research 84, pages 174-183.
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N. V. Gulyaeva. (2016) Cerebral plasticity and connectopathies: mechanisms of comorbidity of neurological diseases and depression. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova 116:11, pages 157.
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Andrew F. Leuchter, Ian A. Cook, David Feifel, John W. Goethe, Mustafa Husain, Linda L. Carpenter, Michael E. Thase, Andrew D. Krystal, Noah S. Philip, Mahendra T. Bhati, William J. Burke, Robert H. Howland, Yvette I. Sheline, Scott T. Aaronson, Dan V. Iosifescu, John P. O'Reardon, William S. Gilmer, Rakesh Jain, Karl S. Burgoyne, Bill Phillips, Paul J. Manberg, Joseph Massaro, Aimee M. Hunter, Sarah H. Lisanby & Mark S. George. (2015) Efficacy and Safety of Low-field Synchronized Transcranial Magnetic Stimulation (sTMS) for Treatment of Major Depression. Brain Stimulation 8:4, pages 787-794.
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Andrew F. Leuchter, Aimee M. Hunter, David E. Krantz & Ian A. Cook. (2015) Rhythms and blues: modulation of oscillatory synchrony and the mechanism of action of antidepressant treatments. Annals of the New York Academy of Sciences 1344:1, pages 78-91.
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