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Zhao L, Zhou D, He X, Peng X, Hu J, Ma L, Liu X, Tao W, Chen R, Jiang Z, Zhang C, Liao J, Xiang J, Zeng Q, Dai L, Zhang Q, Hong S, Wang W, Kuang L. Changes in P300 amplitude to negative emotional stimuli correlate with treatment responsiveness to sertraline in adolescents with depression. Brain Res 2024:149272. [PMID: 39395645 DOI: 10.1016/j.brainres.2024.149272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 10/05/2024] [Accepted: 10/08/2024] [Indexed: 10/14/2024]
Abstract
OBJECTIVE Adolescents with depression is characterized by high rates of recurrence and functional impairment, with a significant association with suicide risk. Antidepressants are commonly prescribed to treat depression, yet few reproducible neurobiological markers for depression and antidepressant treatment response have been identified. Therefore, discovering a stable and reliable neurobiological marker holds significant value for both the clinical diagnosis and treatment of depression in adolescents. METHODS One hundred and seven patients with major depressive disorder (MDD group, 30 males, 77 females, mean age: 14.80 years), and 25 healthy subjects (HC group, 13 males, 12 females, mean age: 15.72 years) were recruited to perform a two-choice oddball task related to negative emotional cues. All participants completed a self-administered questionnaire to gather demographic information. A trained psychiatrist administered the Hamilton Depression Scale (HAMD-17) to assess depression severity. Of the 107 adolescents with depression, 61 received antidepressant medication for 8 weeks, and 61 of these patients were followed up. Multichannel EEG was recorded continuously from 64 scalp electrodes using the Curry 8 system. EEG signal preprocessing and analysis was performed offline using the EEGLAB toolbox in MATLAB. The ERP component characteristics associated with emotional processing were extracted from the difference waves and statistically analyzed. RESULTS Adolescents with depression exhibited significantly larger P300 amplitudes than healthy controls in response to both neutral and negative emotional cues. Following sertraline treatment, both depression scores and P300 amplitudes decreased significantly in adolescents with depression. Moreover, a strong positive correlation was observed between changes in depression scores and changes in P300 amplitude in response to negative emotional cues before and after treatment. CONCLUSIONS Changes in neural reactivity to negative emotional stimuli among adolescents with depression can be selectively modulated by sertraline and are significantly associated with improvements in depressive symptoms. SIGNIFICANCE Changes in P300 amplitude to negative emotional stimuli significantly correlate with treatment responsiveness to sertraline in adolescents with depression.
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Affiliation(s)
- Lin Zhao
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Dongdong Zhou
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China.
| | - Xiaoqing He
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Xinyu Peng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jinhui Hu
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Lingli Ma
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xinyi Liu
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Wanqing Tao
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Ran Chen
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Zhenghao Jiang
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Chenyu Zhang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jing Liao
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Jiaojiao Xiang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qi Zeng
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Linqi Dai
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qi Zhang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Su Hong
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wo Wang
- Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Li Kuang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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Le GH, Wong S, Lu A, Vasudeva S, Gill H, Badulescu S, Portelles DR, Zheng YJ, Teopiz KM, Meshkat S, Kwan ATH, Ho R, Rhee TG, Rosenblat JD, Mansur RB, McIntyre RS. Electroencephalography (EEG) spectral signatures of selective serotonin reuptake inhibitors (SSRIs), selective norepinephrine reuptake inhibitors (SNRIs) and vortioxetine in major depressive disorder: A systematic review. J Affect Disord 2024; 368:798-819. [PMID: 39299586 DOI: 10.1016/j.jad.2024.09.081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 09/12/2024] [Accepted: 09/13/2024] [Indexed: 09/22/2024]
Abstract
BACKGROUND Converging evidence suggests electroencephalography (EEG) methods may elucidate alterations in global structural and functional connectivity that underlie the pathophysiology of depressive disorders. Extant literature suggests SSRIs and SNRIs may broadly induce alterations to EEG-measured neural activity. Herein, this systematic review comprehensively evaluates changes to EEG spectral signatures associated with vortioxetine and each FDA-approved agent within the SSRI and SNRI class. METHODS We conducted a systematic review of studies investigating changes to EEG spectral signatures associated with SSRI, SNRI, and/or vortioxetine treatment in persons with MDD. Database search occurred from database inception to May 3, 2024. RESULTS Our search yielded 15 studies investigating overall spectral signature changes associated with SSRI- and/or SNRI-treatment. The existing literature presents with mixed findings. Notwithstanding, we did observe a pattern in which the SSRI and SNRI agents reproducibly affect EEG spectral signatures. We observed overlapping yet distinct spectral patterns for each agent within- and between-drug classes of SSRIs and SNRIs. Changes in resting/wake EEG were also observed. LIMITATIONS The findings from our systematic review are mixed. Heterogeneity exists with sample size, composition, dosing of antidepressants, duration of antidepressant exposure, as well as the type of EEG devices used. DISCUSSIONS Our findings provide support to the notion that although SSRIs, SNRIs and vortioxetine block reuptake of the serotonin transporter; they are different in their profile of pharmacology as evidenced by differential EEG signatures. EEG changes associated with SSRIs, SNRIs and vortioxetine are also highly replicated findings across mixed studies and populations.
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Affiliation(s)
- Gia Han Le
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Mood Disorder Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada; Brain and Cognition Discovery Foundation, Toronto, Ontario, Canada.
| | - Sabrina Wong
- Mood Disorder Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada; Brain and Cognition Discovery Foundation, Toronto, Ontario, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada.
| | - Andy Lu
- Brain and Cognition Discovery Foundation, Toronto, Ontario, Canada; Department of Psychology, University of Western Ontario, London, Ontario, Canada.
| | - Shreya Vasudeva
- Mood Disorder Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada.
| | - Hartej Gill
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Mood Disorder Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada.
| | - Sebastian Badulescu
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Mood Disorder Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada; Brain and Cognition Discovery Foundation, Toronto, Ontario, Canada.
| | | | - Yang Jing Zheng
- Brain and Cognition Discovery Foundation, Toronto, Ontario, Canada.
| | - Kayla M Teopiz
- Brain and Cognition Discovery Foundation, Toronto, Ontario, Canada.
| | - Shakila Meshkat
- Mood Disorder Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada; Brain and Cognition Discovery Foundation, Toronto, Ontario, Canada
| | - Angela T H Kwan
- Brain and Cognition Discovery Foundation, Toronto, Ontario, Canada; Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
| | - Roger Ho
- Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore; Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Life Science (LIFS), Hong Kong University of Science and Technology (HKUST), Hong Kong.
| | - Taeho Greg Rhee
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; Department of Public Health Sciences, University of Connecticut School of Medicine, Farmington, CT, USA.
| | - Joshua D Rosenblat
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Mood Disorder Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada.
| | - Rodrigo B Mansur
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Mood Disorder Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada.
| | - Roger S McIntyre
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Brain and Cognition Discovery Foundation, Toronto, Ontario, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
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Zhang Z, Fort JM, Giménez Mateu L. Mini review: Challenges in EEG emotion recognition. Front Psychol 2024; 14:1289816. [PMID: 38239464 PMCID: PMC10794660 DOI: 10.3389/fpsyg.2023.1289816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/11/2023] [Indexed: 01/22/2024] Open
Abstract
Electroencephalography (EEG) stands as a pioneering tool at the intersection of neuroscience and technology, offering unprecedented insights into human emotions. Through this comprehensive review, we explore the challenges and opportunities associated with EEG-based emotion recognition. While recent literature suggests promising high accuracy rates, these claims necessitate critical scrutiny for their authenticity and applicability. The article highlights the significant challenges in generalizing findings from a multitude of EEG devices and data sources, as well as the difficulties in data collection. Furthermore, the disparity between controlled laboratory settings and genuine emotional experiences presents a paradox within the paradigm of emotion research. We advocate for a balanced approach, emphasizing the importance of critical evaluation, methodological standardization, and acknowledging the dynamism of emotions for a more holistic understanding of the human emotional landscape.
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Affiliation(s)
- Zhihui Zhang
- Escola Tècnica Superior d'Arquitectura de Barcelona, Universitat Politècnica de Catalunya, Barcelona, Spain
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Witkin JM, Golani LK, Smith JL. Clinical pharmacological innovation in the treatment of depression. Expert Rev Clin Pharmacol 2023; 16:349-362. [PMID: 37000975 DOI: 10.1080/17512433.2023.2198703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
Abstract
INTRODUCTION Deficiencies in standard of care antidepressants are driving novel drug discovery. A new age of antidepressant medications has emerged with the introduction of rapid-acting antidepressants with efficacy in treatment-resistant patients. AREAS COVERED The newly approved medicines and those in clinical development for major depressive disorder (MDD) are documented in this scoping review of newly approved and emerging antidepressants. Compounds are evaluated for clinical efficacy, tolerability, and safety and compared to those of standard of care medicines. EXPERT OPINION A new age of antidepressant discovery relies heavily on glutamatergic mechanisms. New medicines based upon the model of ketamine have been delivered and are in clinical development. Rapid onset and the ability to impact treatment-resistant depression, raises the question of the best first-line medicines for patients. Drugs with improvements in tolerability are being investigated (e.g. mGlu2/3 receptor antagonists, AMPA receptor potentiators, and novel NMDA receptor modulators). Multiple companies are working toward the identification of novel psychedelic drugs where the requirement for psychedelic activity is not fully known. Gaps still exist - methods for matching patients with specific medicines are needed, and medicines for the prevention of MDD and its disease progression need research attention.
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Affiliation(s)
- Jeffrey M Witkin
- Laboratory of Antiepileptic Drug Discovery, Ascension St. Vincent Hospital, Indianapolis, IN, USA
- Departments of Neuroscience and Trauma Research, Ascension St. Vincent Hospital, Indianapolis, IN USA
| | - Lalit K Golani
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA
| | - Jodi L Smith
- Laboratory of Antiepileptic Drug Discovery, Ascension St. Vincent Hospital, Indianapolis, IN, USA
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