1
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Xia AWL, Jin M, Qin PPI, Kan RLD, Zhang BBB, Giron CG, Lin TTZ, Li ASM, Kranz GS. Instantaneous effects of prefrontal transcranial magnetic stimulation on brain oxygenation: A systematic review. Neuroimage 2024; 293:120618. [PMID: 38636640 DOI: 10.1016/j.neuroimage.2024.120618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 04/20/2024] Open
Abstract
This systematic review investigates how prefrontal transcranial magnetic stimulation (TMS) immediately influences neuronal excitability based on oxygenation changes measured by functional magnetic resonance imaging (fMRI) or functional near-infrared spectroscopy (fNIRS). A thorough understanding of TMS-induced excitability changes may enable clinicians to adjust TMS parameters and optimize treatment plans proactively. Five databases were searched for human studies evaluating brain excitability using concurrent TMS/fMRI or TMS/fNIRS. Thirty-seven studies (13 concurrent TMS/fNIRS studies, 24 concurrent TMS/fMRI studies) were included in a qualitative synthesis. Despite methodological inconsistencies, a distinct pattern of activated nodes in the frontoparietal central executive network, the cingulo-opercular salience network, and the default-mode network emerged. The activated nodes included the prefrontal cortex (particularly dorsolateral prefrontal cortex), insula cortex, striatal regions (especially caudate, putamen), anterior cingulate cortex, and thalamus. High-frequency repetitive TMS most consistently induced expected facilitatory effects in these brain regions. However, varied stimulation parameters (e.g., intensity, coil orientation, target sites) and the inter- and intra-individual variability of brain state contribute to the observed heterogeneity of target excitability and co-activated regions. Given the considerable methodological and individual variability across the limited evidence, conclusions should be drawn with caution.
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Affiliation(s)
- Adam W L Xia
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Minxia Jin
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China; Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Penny P I Qin
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Rebecca L D Kan
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Bella B B Zhang
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Cristian G Giron
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Tim T Z Lin
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Ami S M Li
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Georg S Kranz
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China; Mental Health Research Center (MHRC), The Hong Kong Polytechnic University, Hong Kong, China; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
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2
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Tanaka M, Battaglia S, Giménez-Llort L, Chen C, Hepsomali P, Avenanti A, Vécsei L. Innovation at the Intersection: Emerging Translational Research in Neurology and Psychiatry. Cells 2024; 13:790. [PMID: 38786014 PMCID: PMC11120114 DOI: 10.3390/cells13100790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 04/28/2024] [Indexed: 05/25/2024] Open
Abstract
Translational research in neurological and psychiatric diseases is a rapidly advancing field that promises to redefine our approach to these complex conditions [...].
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Affiliation(s)
- Masaru Tanaka
- HUN-REN-SZTE Neuroscience Research Group, Hungarian Research Network, University of Szeged (HUN-REN-SZTE), Danube Neuroscience Research Laboratory, Tisza Lajos krt. 113, H-6725 Szeged, Hungary;
| | - Simone Battaglia
- Center for Studies and Research in Cognitive Neuroscience, Department of Psychology “Renzo Canestrari”, Cesena Campus, Alma Mater Studiorum Università di Bologna, 47521 Cesena, Italy;
- Department of Psychology, University of Turin, 10124 Turin, Italy
| | - Lydia Giménez-Llort
- Institut de Neurociències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193 Barcelona, Spain;
- Department of Psychiatry & Forensic Medicine, Faculty of Medicine, Campus Bellaterra, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193 Barcelona, Spain
| | - Chong Chen
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi 755-8505, Japan;
| | - Piril Hepsomali
- School of Psychology and Clinical Language Sciences, University of Reading, Reading RG6 6ET, UK;
| | - Alessio Avenanti
- Center for Studies and Research in Cognitive Neuroscience, Department of Psychology “Renzo Canestrari”, Cesena Campus, Alma Mater Studiorum Università di Bologna, 47521 Cesena, Italy;
- Neuropsychology and Cognitive Neuroscience Research Center (CINPSI Neurocog), Universidad Católica del Maule, Talca 3460000, Chile
| | - László Vécsei
- HUN-REN-SZTE Neuroscience Research Group, Hungarian Research Network, University of Szeged (HUN-REN-SZTE), Danube Neuroscience Research Laboratory, Tisza Lajos krt. 113, H-6725 Szeged, Hungary;
- Department of Neurology, Albert Szent-Györgyi Medical School, University of Szeged, Semmelweis u. 6, H-6725 Szeged, Hungary
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3
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Palmisano A, Pandit S, Smeralda CL, Demchenko I, Rossi S, Battelli L, Rivolta D, Bhat V, Santarnecchi E. The Pathophysiological Underpinnings of Gamma-Band Alterations in Psychiatric Disorders. Life (Basel) 2024; 14:578. [PMID: 38792599 PMCID: PMC11122172 DOI: 10.3390/life14050578] [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: 02/05/2024] [Revised: 04/04/2024] [Accepted: 04/06/2024] [Indexed: 05/26/2024] Open
Abstract
Investigating the biophysiological substrates of psychiatric illnesses is of great interest to our understanding of disorders' etiology, the identification of reliable biomarkers, and potential new therapeutic avenues. Schizophrenia represents a consolidated model of γ alterations arising from the aberrant activity of parvalbumin-positive GABAergic interneurons, whose dysfunction is associated with perineuronal net impairment and neuroinflammation. This model of pathogenesis is supported by molecular, cellular, and functional evidence. Proof for alterations of γ oscillations and their underlying mechanisms has also been reported in bipolar disorder and represents an emerging topic for major depressive disorder. Although evidence from animal models needs to be further elucidated in humans, the pathophysiology of γ-band alteration represents a common denominator for different neuropsychiatric disorders. The purpose of this narrative review is to outline a framework of converging results in psychiatric conditions characterized by γ abnormality, from neurochemical dysfunction to alterations in brain rhythms.
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Affiliation(s)
- Annalisa Palmisano
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, TUD Dresden University of Technology, 01069 Dresden, Germany
- Precision Neuroscience and Neuromodulation Program, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA (E.S.)
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, 70121 Bari, Italy;
| | - Siddhartha Pandit
- Precision Neuroscience and Neuromodulation Program, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA (E.S.)
| | - Carmelo L. Smeralda
- Precision Neuroscience and Neuromodulation Program, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA (E.S.)
- Siena Brain Investigation and Neuromodulation (SI-BIN) Laboratory, Department of Medicine, Surgery and Neuroscience, Neurology and Clinical Neurophysiology Section, University of Siena, 53100 Siena, Italy;
| | - Ilya Demchenko
- Interventional Psychiatry Program, St. Michael’s Hospital—Unity Health Toronto, Toronto, ON M5B 1W8, Canada; (I.D.)
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Simone Rossi
- Siena Brain Investigation and Neuromodulation (SI-BIN) Laboratory, Department of Medicine, Surgery and Neuroscience, Neurology and Clinical Neurophysiology Section, University of Siena, 53100 Siena, Italy;
| | - Lorella Battelli
- Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
- Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia, 38068 Rovereto, Italy
| | - Davide Rivolta
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, 70121 Bari, Italy;
| | - Venkat Bhat
- Interventional Psychiatry Program, St. Michael’s Hospital—Unity Health Toronto, Toronto, ON M5B 1W8, Canada; (I.D.)
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Emiliano Santarnecchi
- Precision Neuroscience and Neuromodulation Program, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA (E.S.)
- Department of Neurology and Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
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4
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Nenadić I, Meller T, Evermann U, Pfarr JK, Federspiel A, Walther S, Grezellschak S, Abu-Akel A. Modelling the overlap and divergence of autistic and schizotypal traits on hippocampal subfield volumes and regional cerebral blood flow. Mol Psychiatry 2024; 29:74-84. [PMID: 37891246 PMCID: PMC11078729 DOI: 10.1038/s41380-023-02302-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 09/22/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023]
Abstract
Psychiatric disorders show high co-morbidity, including co-morbid expressions of subclinical psychopathology across multiple disease spectra. Given the limitations of classical case-control designs in elucidating this overlap, new approaches are needed to identify biological underpinnings of spectra and their interaction. We assessed autistic-like traits (using the Autism Quotient, AQ) and schizotypy - as models of subclinical expressions of disease phenotypes and examined their association with volumes and regional cerebral blood flow (rCBF) of anterior, mid- and posterior hippocampus segments from structural MRI scans in 318 and arterial spin labelling (ASL) in 346 nonclinical subjects, which overlapped with the structural imaging sample (N = 298). We demonstrate significant interactive effects of positive schizotypy and AQ social skills as well as of positive schizotypy and AQ imagination on hippocampal subfield volume variation. Moreover, we show that AQ attention switching modulated hippocampal head rCBF, while positive schizotypy by AQ attention to detail interactions modulated hippocampal tail rCBF. In addition, we show significant correlation of hippocampal volume and rCBF in both region-of-interest and voxel-wise analyses, which were robust after removal of variance related to schizotypy and autistic traits. These findings provide empirical evidence for both the modulation of hippocampal subfield structure and function through subclinical traits, and in particular how only the interaction of phenotype facets leads to significant reductions or variations in these parameters. This makes a case for considering the synergistic impact of different (subclinical) disease spectra on transdiagnostic biological parameters in psychiatry.
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Affiliation(s)
- Igor Nenadić
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Marburg, Germany.
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany.
- Marburg University Hospital - UKGM, Marburg, Germany.
| | - Tina Meller
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Ulrika Evermann
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Julia-Katharina Pfarr
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Andrea Federspiel
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Sarah Grezellschak
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps Universität Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
- Marburg University Hospital - UKGM, Marburg, Germany
| | - Ahmad Abu-Akel
- School of Psychological Sciences, University of Haifa, Mount Carmel, Haifa, Israel
- The Haifa Brain and Behavior Hub, University of Haifa, Mount Carmel, Haifa, Israel
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5
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Pan R, Ye S, Zhong Y, Chen Q, Cai Y. Transcranial alternating current stimulation for the treatment of major depressive disorder: from basic mechanisms toward clinical applications. Front Hum Neurosci 2023; 17:1197393. [PMID: 37731669 PMCID: PMC10507344 DOI: 10.3389/fnhum.2023.1197393] [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: 03/31/2023] [Accepted: 08/22/2023] [Indexed: 09/22/2023] Open
Abstract
Non-pharmacological treatment is essential for patients with major depressive disorder (MDD) that is medication resistant or who are unable to take medications. Transcranial alternating current stimulation (tACS) is a non-invasive brain stimulation method that manipulates neural oscillations. In recent years, tACS has attracted substantial attention for its potential as an MDD treatment. This review summarizes the latest advances in tACS treatment for MDD and outlines future directions for promoting its clinical application. We first introduce the neurophysiological mechanism of tACS and its novel developments. In particular, two well-validated tACS techniques have high application potential: high-definition tACS targeting local brain oscillations and bifocal tACS modulating interarea functional connectivity. Accordingly, we summarize the underlying mechanisms of tACS modulation for MDD. We sort out the local oscillation abnormalities within the reward network and the interarea oscillatory synchronizations among multiple MDD-related networks in MDD patients, which provide potential modulation targets of tACS interventions. Furthermore, we review the latest clinical studies on tACS treatment for MDD, which were based on different modulation mechanisms and reported alleviations in MDD symptoms. Finally, we discuss the main challenges of current tACS treatments for MDD and outline future directions to improve intervention target selection, tACS implementation, and clinical validations.
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Affiliation(s)
- Ruibo Pan
- Department of Psychiatry, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shengfeng Ye
- Department of Psychology and Behavioral Science, Zhejiang University, Hangzhou, China
| | - Yun Zhong
- Department of Psychology and Behavioral Science, Zhejiang University, Hangzhou, China
| | - Qiaozhen Chen
- Department of Psychiatry, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Ying Cai
- Department of Psychology and Behavioral Science, Zhejiang University, Hangzhou, China
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6
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Allen B. Discovering Themes in Deep Brain Stimulation Research Using Explainable Artificial Intelligence. Biomedicines 2023; 11:biomedicines11030771. [PMID: 36979750 PMCID: PMC10045890 DOI: 10.3390/biomedicines11030771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/17/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
Deep brain stimulation is a treatment that controls symptoms by changing brain activity. The complexity of how to best treat brain dysfunction with deep brain stimulation has spawned research into artificial intelligence approaches. Machine learning is a subset of artificial intelligence that uses computers to learn patterns in data and has many healthcare applications, such as an aid in diagnosis, personalized medicine, and clinical decision support. Yet, how machine learning models make decisions is often opaque. The spirit of explainable artificial intelligence is to use machine learning models that produce interpretable solutions. Here, we use topic modeling to synthesize recent literature on explainable artificial intelligence approaches to extracting domain knowledge from machine learning models relevant to deep brain stimulation. The results show that patient classification (i.e., diagnostic models, precision medicine) is the most common problem in deep brain stimulation studies that employ explainable artificial intelligence. Other topics concern attempts to optimize stimulation strategies and the importance of explainable methods. Overall, this review supports the potential for artificial intelligence to revolutionize deep brain stimulation by personalizing stimulation protocols and adapting stimulation in real time.
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Affiliation(s)
- Ben Allen
- Department of Psychology, University of Kansas, Lawrence, KS 66045, USA
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7
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Uenishi S, Tamaki A, Yamada S, Yasuda K, Ikeda N, Mizutani-Tiebel Y, Keeser D, Padberg F, Tsuji T, Kimoto S, Takahashi S. Computational modeling of electric fields for prefrontal tDCS across patients with schizophrenia and mood disorders. Psychiatry Res Neuroimaging 2022; 326:111547. [PMID: 36240572 DOI: 10.1016/j.pscychresns.2022.111547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 07/30/2022] [Accepted: 10/01/2022] [Indexed: 02/25/2023]
Abstract
This cross-diagnostic study aims to computationally model electric field (efield) for prefrontal transcranial direct current stimulation in mood disorders and schizophrenia. Enrolled were patients with major depressive disorder (n = 23), bipolar disorder (n = 24), schizophrenia (n = 23), and healthy controls (n = 23). The efield was simulated using SimNIBS software (ver.2.1.1). Electrodes were placed at the left and right prefrontal areas and the current intensity was set to 2 mA intensity. Schizophrenia and major depressive disorder groups showed significantly lower 99.5th percentile efield strength than healthy controls. In voxel-wise analysis, patients with schizophrenia showed a significant reduction of simulated efield strength in the bilateral frontal lobe, cerebellum and brain stem compared with healthy controls. Among the patients with schizophrenia, reduction of simulated efield strength was not significantly correlated with psychiatric symptoms or global functioning. The patients with bipolar disorder showed no significant difference in simulated efield strength compared with healthy controls, and there was no significant difference between the clinical groups. Our results suggest attenuated electrophysiological response to transcranial direct current stimulation to the prefrontal cortex in patients with schizophrenia, and to some extent in patients with major depressive disorder.
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Affiliation(s)
- Shinya Uenishi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan; Department of Psychiatry, Hidaka Hospital, Gobo, Japan.
| | - Atsushi Tamaki
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan; Department of Psychiatry, Hidaka Hospital, Gobo, Japan
| | - Shinichi Yamada
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Kasumi Yasuda
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Natsuko Ikeda
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan; Department of Psychiatry, Wakayama Prefectural Mental Health Care Center, Aridagawa, Japan
| | - Yuki Mizutani-Tiebel
- Department of Psychiatry and Psychotherapy, University Hospital LMU Munich, Munich, Germany
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, University Hospital LMU Munich, Munich, Germany; Department of Radiology, University Hospital LMU Munich, Munich, Germany
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, University Hospital LMU Munich, Munich, Germany
| | - Tomikimi Tsuji
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Sohei Kimoto
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Shun Takahashi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan; Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan; Graduate School of Rehabilitation Science, Osaka Metropolitan University, Habikino, Japan; Clinical Research and Education Center, Asakayama General Hospital, Sakai, Japan
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8
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Boosting psychological change: Combining non-invasive brain stimulation with psychotherapy. Neurosci Biobehav Rev 2022; 142:104867. [PMID: 36122739 DOI: 10.1016/j.neubiorev.2022.104867] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 09/01/2022] [Accepted: 09/07/2022] [Indexed: 11/21/2022]
Abstract
Mental health disorders and substance use disorders are a leading cause of morbidity and mortality worldwide, and one of the most important challenges for public health systems. While evidence-based psychotherapy is generally pursued to address mental health challenges, psychological change is often hampered by non-adherence to treatments, relapses, and practical barriers (e.g., time, cost). In recent decades, Non-invasive brain stimulation (NIBS) techniques have emerged as promising tools to directly target dysfunctional neural circuitry and promote long-lasting plastic changes. While the therapeutic efficacy of NIBS protocols for mental illnesses has been established, neuromodulatory interventions might also be employed to support the processes activated by psychotherapy. Indeed, combining psychotherapy with NIBS might help tailor the treatment to the patient's unique characteristics and therapeutic goal, and would allow more direct control of the neuronal changes induced by therapy. Herein, we overview emerging evidence on the use of NIBS to enhance the psychotherapeutic effect, while highlighting the next steps in advancing clinical and research methods toward personalized intervention approaches.
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9
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Giron CG, Lin TTZ, Kan RLD, Zhang BBB, Yau SY, Kranz GS. Non-Invasive Brain Stimulation Effects on Biomarkers of Tryptophan Metabolism: A Scoping Review and Meta-Analysis. Int J Mol Sci 2022; 23:ijms23179692. [PMID: 36077088 PMCID: PMC9456364 DOI: 10.3390/ijms23179692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/22/2022] [Accepted: 08/23/2022] [Indexed: 11/16/2022] Open
Abstract
Abnormal activation of the kynurenine and serotonin pathways of tryptophan metabolism is linked to a host of neuropsychiatric disorders. Concurrently, noninvasive brain stimulation (NIBS) techniques demonstrate high therapeutic efficacy across neuropsychiatric disorders, with indications for modulated neuroplasticity underlying such effects. We therefore conducted a scoping review with meta-analysis of eligible studies, conforming with the PRISMA statement, by searching the PubMed and Web of Science databases for clinical and preclinical studies that report the effects of NIBS on biomarkers of tryptophan metabolism. NIBS techniques reviewed were electroconvulsive therapy (ECT), transcranial magnetic stimulation (TMS), and transcranial direct current stimulation (tDCS). Of the 564 search results, 65 studies were included with publications dating back to 1971 until 2022. The Robust Bayesian Meta-Analysis on clinical studies and qualitative analysis identified general null effects by NIBS on biomarkers of tryptophan metabolism, but moderate evidence for TMS effects on elevating serum serotonin levels. We cannot interpret this as evidence for or against the effects of NIBS on these biomarkers, as there exists several confounding methodological differences in this literature. Future controlled studies are needed to elucidate the effects of NIBS on biomarkers of tryptophan metabolism, an under-investigated question with substantial implications to clinical research and practice.
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Affiliation(s)
- Cristian G. Giron
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Tim T. Z. Lin
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Rebecca L. D. Kan
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Bella B. B. Zhang
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Suk Yu Yau
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
- Mental Health Research Center (MHRC), The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Georg S. Kranz
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
- Mental Health Research Center (MHRC), The Hong Kong Polytechnic University, Hong Kong SAR, China
- Department of Psychiatry and Psychotherapy, Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, 1090 Vienna, Austria
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
- Correspondence:
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10
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Brunoni AR, Deng ZD, Padberg F. Enhancing Repetitive Transcranial Magnetic Stimulation Effects for Depression Treatment: Navigare Necesse Est-and Smart Clinical Trial Designs. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:527-529. [PMID: 35680342 DOI: 10.1016/j.bpsc.2022.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 03/09/2022] [Indexed: 06/15/2023]
Affiliation(s)
- Andre R Brunoni
- Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
| | - Zhi-De Deng
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, Maryland
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
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11
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Cho H, Razza LB, Borrione L, Bikson M, Charvet L, Dennis-Tiwary TA, Brunoni AR, Sudbrack-Oliveira P. Transcranial Electrical Stimulation for Psychiatric Disorders in Adults: A Primer. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2022; 20:19-31. [PMID: 35746931 PMCID: PMC9063596 DOI: 10.1176/appi.focus.20210020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Transcranial electrical stimulation (tES) comprises noninvasive neuromodulation techniques that deliver low-amplitude electrical currents to targeted brain regions with the goal of modifying neural activities. Expanding evidence from the past decade, specifically using transcranial direct current simulation and transcranial alternating current stimulation, presents promising applications of tES as a treatment for psychiatric disorders. In this review, the authors discuss the basic technical aspects and mechanisms of action of tES in the context of clinical research and practice and review available evidence for its clinical use, efficacy, and safety. They also review recent advancements in use of tES for the treatment of depressive disorders, schizophrenia, substance use disorders, and obsessive-compulsive disorder. Findings largely support growing evidence for the safety and efficacy of tES in the treatment of patients with resistance to existing treatment options, particularly demonstrating promising treatment outcomes for depressive disorders. Future directions of tES research for optimal application in clinical settings are discussed, including the growing home-based, patient-friendly methods and the potential pairing with existing pharmacological or psychotherapeutic treatments for enhanced outcomes. Finally, neuroimaging advancements may provide more specific mapping of brain networks, aiming at more precise tES therapeutic targeting in the treatment of psychiatric disorders.
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Affiliation(s)
- Hyein Cho
- Department of Psychology, Graduate Center, and Department of Psychology, Hunter College, City University of New York, New York City (Cho, Dennis-Tiwary); Department and Institute of Psychiatry and Service of Interdisciplinary Neuromodulation, Faculty of Medicine, University of São Paulo, São Paulo, Brazil (Razza, Borrione, Brunoni, Sudbrack-Oliveira); Department of Biomedical Engineering, City College of New York, City University of New York, New York City (Bikson); Department of Neurology, Grossman School of Medicine, New York University, New York City (Charvet); Department of Internal Medicine, Faculty of Medicine, University of São Paulo, and University Hospital, University of São Paulo, São Paulo, Brazil (Brunoni)
| | - Lais B Razza
- Department of Psychology, Graduate Center, and Department of Psychology, Hunter College, City University of New York, New York City (Cho, Dennis-Tiwary); Department and Institute of Psychiatry and Service of Interdisciplinary Neuromodulation, Faculty of Medicine, University of São Paulo, São Paulo, Brazil (Razza, Borrione, Brunoni, Sudbrack-Oliveira); Department of Biomedical Engineering, City College of New York, City University of New York, New York City (Bikson); Department of Neurology, Grossman School of Medicine, New York University, New York City (Charvet); Department of Internal Medicine, Faculty of Medicine, University of São Paulo, and University Hospital, University of São Paulo, São Paulo, Brazil (Brunoni)
| | - Lucas Borrione
- Department of Psychology, Graduate Center, and Department of Psychology, Hunter College, City University of New York, New York City (Cho, Dennis-Tiwary); Department and Institute of Psychiatry and Service of Interdisciplinary Neuromodulation, Faculty of Medicine, University of São Paulo, São Paulo, Brazil (Razza, Borrione, Brunoni, Sudbrack-Oliveira); Department of Biomedical Engineering, City College of New York, City University of New York, New York City (Bikson); Department of Neurology, Grossman School of Medicine, New York University, New York City (Charvet); Department of Internal Medicine, Faculty of Medicine, University of São Paulo, and University Hospital, University of São Paulo, São Paulo, Brazil (Brunoni)
| | - Marom Bikson
- Department of Psychology, Graduate Center, and Department of Psychology, Hunter College, City University of New York, New York City (Cho, Dennis-Tiwary); Department and Institute of Psychiatry and Service of Interdisciplinary Neuromodulation, Faculty of Medicine, University of São Paulo, São Paulo, Brazil (Razza, Borrione, Brunoni, Sudbrack-Oliveira); Department of Biomedical Engineering, City College of New York, City University of New York, New York City (Bikson); Department of Neurology, Grossman School of Medicine, New York University, New York City (Charvet); Department of Internal Medicine, Faculty of Medicine, University of São Paulo, and University Hospital, University of São Paulo, São Paulo, Brazil (Brunoni)
| | - Leigh Charvet
- Department of Psychology, Graduate Center, and Department of Psychology, Hunter College, City University of New York, New York City (Cho, Dennis-Tiwary); Department and Institute of Psychiatry and Service of Interdisciplinary Neuromodulation, Faculty of Medicine, University of São Paulo, São Paulo, Brazil (Razza, Borrione, Brunoni, Sudbrack-Oliveira); Department of Biomedical Engineering, City College of New York, City University of New York, New York City (Bikson); Department of Neurology, Grossman School of Medicine, New York University, New York City (Charvet); Department of Internal Medicine, Faculty of Medicine, University of São Paulo, and University Hospital, University of São Paulo, São Paulo, Brazil (Brunoni)
| | - Tracy A Dennis-Tiwary
- Department of Psychology, Graduate Center, and Department of Psychology, Hunter College, City University of New York, New York City (Cho, Dennis-Tiwary); Department and Institute of Psychiatry and Service of Interdisciplinary Neuromodulation, Faculty of Medicine, University of São Paulo, São Paulo, Brazil (Razza, Borrione, Brunoni, Sudbrack-Oliveira); Department of Biomedical Engineering, City College of New York, City University of New York, New York City (Bikson); Department of Neurology, Grossman School of Medicine, New York University, New York City (Charvet); Department of Internal Medicine, Faculty of Medicine, University of São Paulo, and University Hospital, University of São Paulo, São Paulo, Brazil (Brunoni)
| | - Andre R Brunoni
- Department of Psychology, Graduate Center, and Department of Psychology, Hunter College, City University of New York, New York City (Cho, Dennis-Tiwary); Department and Institute of Psychiatry and Service of Interdisciplinary Neuromodulation, Faculty of Medicine, University of São Paulo, São Paulo, Brazil (Razza, Borrione, Brunoni, Sudbrack-Oliveira); Department of Biomedical Engineering, City College of New York, City University of New York, New York City (Bikson); Department of Neurology, Grossman School of Medicine, New York University, New York City (Charvet); Department of Internal Medicine, Faculty of Medicine, University of São Paulo, and University Hospital, University of São Paulo, São Paulo, Brazil (Brunoni)
| | - Pedro Sudbrack-Oliveira
- Department of Psychology, Graduate Center, and Department of Psychology, Hunter College, City University of New York, New York City (Cho, Dennis-Tiwary); Department and Institute of Psychiatry and Service of Interdisciplinary Neuromodulation, Faculty of Medicine, University of São Paulo, São Paulo, Brazil (Razza, Borrione, Brunoni, Sudbrack-Oliveira); Department of Biomedical Engineering, City College of New York, City University of New York, New York City (Bikson); Department of Neurology, Grossman School of Medicine, New York University, New York City (Charvet); Department of Internal Medicine, Faculty of Medicine, University of São Paulo, and University Hospital, University of São Paulo, São Paulo, Brazil (Brunoni)
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Transformation towards precision psychiatry. Exp Neurol 2021; 349:113955. [PMID: 34933833 DOI: 10.1016/j.expneurol.2021.113955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Fortea L, Albajes-Eizagirre A, Yao YW, Soler E, Verdolini N, Hauson AO, Fortea A, Madero S, Solanes A, Wollman SC, Serra-Blasco M, Wise T, Lukito S, Picó-Pérez M, Carlisi C, Zhang J, Pan P, Farré-Colomés Á, Arnone D, Kempton MJ, Soriano-Mas C, Rubia K, Norman L, Fusar-Poli P, Mataix-Cols D, Valentí M, Via E, Cardoner N, Solmi M, Shin JI, Vieta E, Radua J. Focusing on Comorbidity-A Novel Meta-Analytic Approach and Protocol to Disentangle the Specific Neuroanatomy of Co-occurring Mental Disorders. Front Psychiatry 2021; 12:807839. [PMID: 35115973 PMCID: PMC8805083 DOI: 10.3389/fpsyt.2021.807839] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/13/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND In mental health, comorbidities are the norm rather than the exception. However, current meta-analytic methods for summarizing the neural correlates of mental disorders do not consider comorbidities, reducing them to a source of noise and bias rather than benefitting from their valuable information. OBJECTIVES We describe and validate a novel neuroimaging meta-analytic approach that focuses on comorbidities. In addition, we present the protocol for a meta-analysis of all major mental disorders and their comorbidities. METHODS The novel approach consists of a modification of Seed-based d Mapping-with Permutation of Subject Images (SDM-PSI) in which the linear models have no intercept. As in previous SDM meta-analyses, the dependent variable is the brain anatomical difference between patients and controls in a voxel. However, there is no primary disorder, and the independent variables are the percentages of patients with each disorder and each pair of potentially comorbid disorders. We use simulations to validate and provide an example of this novel approach, which correctly disentangled the abnormalities associated with each disorder and comorbidity. We then describe a protocol for conducting the new meta-analysis of all major mental disorders and their comorbidities. Specifically, we will include all voxel-based morphometry (VBM) studies of mental disorders for which a meta-analysis has already been published, including at least 10 studies. We will use the novel approach to analyze all included studies in two separate single linear models, one for children/adolescents and one for adults. DISCUSSION The novel approach is a valid method to focus on comorbidities. The meta-analysis will yield a comprehensive atlas of the neuroanatomy of all major mental disorders and their comorbidities, which we hope might help develop potential diagnostic and therapeutic tools.
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Affiliation(s)
- Lydia Fortea
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain
| | | | - Yuan-Wei Yao
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.,Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Edu Soler
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain
| | - Norma Verdolini
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain.,Bipolar and Depressive Disorders Unit, Hospital Clinic, Barcelona, Spain
| | - Alexander O Hauson
- Clinical Psychology PhD Program, California School of Professional Psychology, San Diego, CA, United States.,Department of Psychiatry, University of California San Diego, La Jolla, CA, United States
| | - Adriana Fortea
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain.,Fundació Clínic per a la Recerca Biomèdica (FCRB), Barcelona, Spain.,Psychiatric and Psychology Service, Hospital Clinic, Barcelona, Spain
| | - Santiago Madero
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.,Schizophrenia Unit, Hospital Clinic, Barcelona, Spain
| | - Aleix Solanes
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.,Department of Psychiatry and Forensic Medicine, Autonomous University of Barcelona, Barcelona, Spain
| | - Scott C Wollman
- Clinical Psychology PhD Program, California School of Professional Psychology, San Diego, CA, United States
| | - Maria Serra-Blasco
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Psychology, Abat Oliba CEU ("Centro de Estudios Universitarios") University, Barcelona, Spain.,Programa E-Health ICOnnecta't, Institut Català d'Oncologia, Barcelona, Spain
| | - Toby Wise
- Department of Neuroimaging, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Steve Lukito
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Maria Picó-Pérez
- Live and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal.,ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal.,Clinical Academic Center - Braga, Braga, Portugal
| | - Christina Carlisi
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.,Division of Psychology and Language Sciences, University College London, London, United Kingdom
| | - JinTao Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - PingLei Pan
- Department of Neurology, Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Affiliated Yancheng Hospital of Southeast University, Yancheng, China
| | - Álvar Farré-Colomés
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.,Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Danilo Arnone
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.,Department of Psychiatry and Behavioral Science, College of Medicine and Health Sciences, United Arab Emirates University (UAEU), Al Ain, United Arab Emirates
| | - Matthew J Kempton
- Department of Neuroimaging, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.,Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Carles Soriano-Mas
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Psychiatry and Mental Health Group, Neuroscience Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.,Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
| | - Luke Norman
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.,Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States.,The Social and Behavioral Research Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, MD, United States
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.,Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology, London, United Kingdom.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Outreach and Support in South London (OASIS) Service, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.,Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Marc Valentí
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain.,Bipolar and Depressive Disorders Unit, Hospital Clinic, Barcelona, Spain.,Psychiatric and Psychology Service, Hospital Clinic, Barcelona, Spain
| | - Esther Via
- Child and Adolescent Psychiatry and Psychology Department, Hospital Sant Joan de Déu, Barcelona, Spain.,Child and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Narcis Cardoner
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Psychiatry and Forensic Medicine, Autonomous University of Barcelona, Barcelona, Spain.,Mental Health Department, Hospital Universitari Parc Taulí, Institut d'Investigació i Innovació Parc Taulí (I3PT), Sabadell, Spain
| | - Marco Solmi
- Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology, London, United Kingdom.,Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada.,Department of Mental Health, The Ottawa Hospital, Ottawa, ON, Canada.,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Jae I Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain.,Bipolar and Depressive Disorders Unit, Hospital Clinic, Barcelona, Spain.,Psychiatric and Psychology Service, Hospital Clinic, Barcelona, Spain
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.,Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
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