1
|
Prillinger K, Amador de Lara G, Klöbl M, Lanzenberger R, Plener PL, Poustka L, Konicar L, Radev ST. Multisession tDCS combined with intrastimulation training improves emotion recognition in adolescents with autism spectrum disorder. Neurotherapeutics 2024:e00460. [PMID: 39393982 DOI: 10.1016/j.neurot.2024.e00460] [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: 09/23/2024] [Accepted: 09/24/2024] [Indexed: 10/13/2024] Open
Abstract
Previous studies indicate that transcranial direct current stimulation (tDCS) is a promising emerging treatment option for autism spectrum disorder (ASD) and its efficacy could be augmented using concurrent training. However, no intrastimulation social cognition training for ASD has been developed so far. The objective of this two-armed, double-blind, randomized, sham-controlled clinical trial is to investigate the effects of tDCS combined with a newly developed intrastimulation social cognition training on adolescents with ASD. Twenty-two male adolescents with ASD were randomly assigned to receive 10 sessions of either anodal or sham tDCS at F3/right supraorbital region together with online intrastimulation training comprising basic and complex emotion recognition tasks. Using baseline magnetic resonance imaging data, individual electric field distributions were simulated, and brain activation patterns of the training tasks were analyzed. Additionally, questionnaires were administered at baseline and following the intervention. Compared to sham tDCS, anodal tDCS significantly improved dynamic emotion recognition over the course of the sessions. This task also showed the highest activations in face processing regions. Moreover, the improvement was associated with electric field density at the medial prefrontal cortex and social awareness in exploratory analyses. Both groups showed high tolerability and acceptability of tDCS, and significant improvement in overall ASD symptoms. Taken together, multisession tDCS improved dynamic emotion recognition in adolescents with ASD using a task that activates brain regions associated with the social brain network. The variability in the electric field might diminish tDCS effects and future studies should investigate individualized approaches.
Collapse
Affiliation(s)
- Karin Prillinger
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, 1090 Vienna, Austria; Comprehensive Center for Pediatrics (CCP), Medical University of Vienna, 1090 Vienna, Austria; Comprehensive Center for Clinical Neuroscience and Mental Health (C3NMH), Medical University of Vienna, 1090 Vienna, Austria.
| | - Gabriel Amador de Lara
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, 1090 Vienna, Austria; Comprehensive Center for Pediatrics (CCP), Medical University of Vienna, 1090 Vienna, Austria; Comprehensive Center for Clinical Neuroscience and Mental Health (C3NMH), Medical University of Vienna, 1090 Vienna, Austria
| | - Manfred Klöbl
- Comprehensive Center for Clinical Neuroscience and Mental Health (C3NMH), Medical University of Vienna, 1090 Vienna, Austria; Department of Psychiatry and Psychotherapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Rupert Lanzenberger
- Comprehensive Center for Clinical Neuroscience and Mental Health (C3NMH), Medical University of Vienna, 1090 Vienna, Austria; Department of Psychiatry and Psychotherapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Paul L Plener
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, 1090 Vienna, Austria; Comprehensive Center for Pediatrics (CCP), Medical University of Vienna, 1090 Vienna, Austria; Comprehensive Center for Clinical Neuroscience and Mental Health (C3NMH), Medical University of Vienna, 1090 Vienna, Austria; Department of Child and Adolescent Psychiatry and Psychotherapy, University of Ulm, 89073 Ulm, Germany
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry, University Hospital Heidelberg, 69115 Heidelberg, Germany
| | - Lilian Konicar
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, 1090 Vienna, Austria; Comprehensive Center for Pediatrics (CCP), Medical University of Vienna, 1090 Vienna, Austria; Comprehensive Center for Clinical Neuroscience and Mental Health (C3NMH), Medical University of Vienna, 1090 Vienna, Austria
| | - Stefan T Radev
- Cognitive Science Department, Rensselaer Polytechnic Institute, 12180 Troy, New York, USA; Center for Modeling, Simulation and Imaging in Medicine (CEMSIM), Rensselaer Polytechnic Institute, 12180 Troy, New York, USA
| |
Collapse
|
2
|
Harika-Germaneau G, Gosez J, Bokam P, Guillevin R, Doolub D, Thirioux B, Wassouf I, Germaneau A, Langbour N, Jaafari N. Investigating brain structure and tDCS response in obsessive-compulsive disorder. J Psychiatr Res 2024; 177:39-45. [PMID: 38971055 DOI: 10.1016/j.jpsychires.2024.06.053] [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: 02/12/2024] [Revised: 06/21/2024] [Accepted: 06/28/2024] [Indexed: 07/08/2024]
Abstract
Obsessive-Compulsive Disorder (OCD) is characterized by intrusive thoughts and repetitive behaviors, with associated brain abnormalities in various regions. This study explores the correlation between neural biomarkers and the response to transcranial Direct Current Stimulation (tDCS) in OCD patients. Using structural MRI data from two tDCS trials involving 55 OCD patients and 28 controls, cortical thickness, and gray matter morphometry was analyzed. Findings revealed thicker precentral and paracentral areas in OCD patients, compared to control (p < 0.001). Correlations between cortical thickness and treatment response indicated a significant association between a thinner precentral area and reduced Yale-Brown Obsessive Compulsive Scale (YBOCS) scores (p = 0.02). While results highlight the complexity of treatment response predictors, this study sheds light on potential neural markers for tDCS response in OCD patients. Further investigations with larger datasets are warranted to better understand the underpinnings of these biomarkers and their implications for personalized treatment approaches.
Collapse
Affiliation(s)
- Ghina Harika-Germaneau
- Unité de Recherche Clinique Intersectorielle en Psychiatrie à Vocation Régionale Pierre Deniker, Centre Hospitalier Henri Laborit, Poitiers, France; Centre de Recherches sur la Cognition et l'Apprentissage, CNRS 7295, Université de Poitiers, France
| | - Julien Gosez
- Unité de Recherche Clinique Intersectorielle en Psychiatrie à Vocation Régionale Pierre Deniker, Centre Hospitalier Henri Laborit, Poitiers, France; Institut Pprime, UPR 3346, Université de Poitiers, France; Ansys France.
| | | | - Rémy Guillevin
- CHU de Poitiers, Service de Radiologie, Poitiers, France; LabCom I3M, eq. Dactim Mis, LMA, UMR CNRS 7348, Poitiers, France
| | - Damien Doolub
- Unité de Recherche Clinique Intersectorielle en Psychiatrie à Vocation Régionale Pierre Deniker, Centre Hospitalier Henri Laborit, Poitiers, France; Centre de Recherches sur la Cognition et l'Apprentissage, CNRS 7295, Université de Poitiers, France
| | - Berangere Thirioux
- Unité de Recherche Clinique Intersectorielle en Psychiatrie à Vocation Régionale Pierre Deniker, Centre Hospitalier Henri Laborit, Poitiers, France; Centre de Recherches sur la Cognition et l'Apprentissage, CNRS 7295, Université de Poitiers, France
| | - Issa Wassouf
- Unité de Recherche Clinique Intersectorielle en Psychiatrie à Vocation Régionale Pierre Deniker, Centre Hospitalier Henri Laborit, Poitiers, France; Centre de Recherches sur la Cognition et l'Apprentissage, CNRS 7295, Université de Poitiers, France; Centre Hospitalier Nord Deux-Sèvres, Service de Psychiatrie Adulte, Niort, France
| | | | - Nicolas Langbour
- Unité de Recherche Clinique Intersectorielle en Psychiatrie à Vocation Régionale Pierre Deniker, Centre Hospitalier Henri Laborit, Poitiers, France; Centre de Recherches sur la Cognition et l'Apprentissage, CNRS 7295, Université de Poitiers, France
| | - Nematollah Jaafari
- Unité de Recherche Clinique Intersectorielle en Psychiatrie à Vocation Régionale Pierre Deniker, Centre Hospitalier Henri Laborit, Poitiers, France; Centre de Recherches sur la Cognition et l'Apprentissage, CNRS 7295, Université de Poitiers, France
| |
Collapse
|
3
|
Tamaki A, Uenishi S, Yamada S, Yasuda K, Ikeda N, Tabata M, Kita A, Mizutani-Tiebel Y, Keeser D, Padberg F, Tsuji T, Kimoto S, Takahashi S. Female sex and age-based advantage of simulated electric field in TMS to the prefrontal cortex in schizophrenia and mood disorders. Psychiatry Res Neuroimaging 2024; 342:111844. [PMID: 38901089 DOI: 10.1016/j.pscychresns.2024.111844] [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: 10/30/2022] [Revised: 06/03/2024] [Accepted: 06/04/2024] [Indexed: 06/22/2024]
Abstract
This study investigates computational models of electric field strength for transcranial magnetic stimulation (TMS) of the left dorsolateral prefrontal cortex (DLPFC) based on individual MRI data of patients with schizophrenia (SZ), major depressive disorder (MDD), bipolar disorder (BP), and healthy controls (HC). In addition, it explores the association of electric field intensities with age, gender and intracranial volume. The subjects were 23 SZ (12 male, mean age = 45.30), 24 MDD (16 male, mean age = 43.57), 23 BP (16 male, mean age = 39.29), 23 HC (13 male, mean age = 40.91). Based on individual MRI sequences, electric fields were computationally modeled by two independent investigators using SimNIBS ver. 2.1.1. There was no significant difference in electric field strength between the groups (HC vs SZ, HC vs MDD, HC vs BP, SZ vs MDD, SZ vs BP, MDD vs BP). Female subjects showed higher electric field intensities in widespread areas than males, and age was positively significantly associated with electric field strength in the left parahippocampal area as observed. Our results suggest differences in electric field strength of left DLPFC TMS for gender and age. It may open future avenues for individually modeling TMS based on structural MRI data.
Collapse
Affiliation(s)
- Atsushi Tamaki
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan; Department of Psychiatry, Wakayama Prefectural Mental Health Care Center, Wakayama, 643-0811, Japan.
| | - Shinya Uenishi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan; Department of Psychiatry, Hidaka Hospital, Gobo 6440002, Wakayama, Japan
| | - Shinichi Yamada
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Kasumi Yasuda
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Natsuko Ikeda
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Michiyo Tabata
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Akira Kita
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Yuki Mizutani-Tiebel
- Department of Psychiatry and Psychotherapy, LMU University Hospital Munich, 80336, Munich, Germany
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, LMU University Hospital Munich, 80336, Munich, Germany; Department of Radiology, LMU University Hospital Munich, 81377, Munich, Germany; Munich Center for Neurosciences (MCN) Brain & Mind, Planegg-Martinsried 82152, Munich, Germany
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, LMU University Hospital Munich, 80336, Munich, Germany
| | - Tomikimi Tsuji
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Sohei Kimoto
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan
| | - Shun Takahashi
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama 6410012, Wakayama, Japan; Department of Psychiatry, Osaka University Graduate School of Medicine, Suita 5650871, Osaka, Japan; Graduate School of Rehabilitation Science, Osaka Metropolitan University, Habikino 5838555, Osaka, Japan; Clinical Research and Education Center, Asakayama General Hospital, Sakai 5900018, Osaka, Japan
| |
Collapse
|
4
|
Lee SH, Kim YK. Application of Transcranial Direct and Alternating Current Stimulation (tDCS and tACS) on Major Depressive Disorder. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1456:129-143. [PMID: 39261427 DOI: 10.1007/978-981-97-4402-2_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/13/2024]
Abstract
The exploration of brain stimulation methods offers a promising avenue to overcome the shortcomings of traditional drug therapies and psychological treatments for major depressive disorder (MDD). Over the past years, there has been an increasing focus on transcranial electrical stimulation (tES), notably for its ease of use and potentially fewer side effects. This chapter delves into the use of transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS), which are key components of tES, in managing depression. It begins by introducing tDCS and tACS, summarizing their action mechanisms. Following this introduction, the chapter provides an in-depth analysis of existing meta-analyses, systematic reviews, clinical studies, and case reports that have applied tES in MDD treatment. It also considers the role of tES in personalized medicine by looking at specific patient groups and evaluating research on possible biomarkers that could predict how patients with MDD respond to tES therapy.
Collapse
Affiliation(s)
- Seung-Hoon Lee
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
| | - Yong-Ku Kim
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea.
| |
Collapse
|
5
|
Soleimani G, Kuplicki R, Camchong J, Opitz A, Paulus MP, Lim KO, Ekhtiari H. Are we really targeting and stimulating DLPFC by placing transcranial electrical stimulation (tES) electrodes over F3/F4? Hum Brain Mapp 2023; 44:6275-6287. [PMID: 37750607 PMCID: PMC10619406 DOI: 10.1002/hbm.26492] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 08/16/2023] [Accepted: 09/08/2023] [Indexed: 09/27/2023] Open
Abstract
In many clinical trials involving transcranial electrical stimulation (tES), target electrodes are typically placed over DLPFC with the assumption that this will primarily stimulate the underlying brain region. However, our study aimed to evaluate the electric fields (EF) that are actually delivered and identify prefrontal regions that may be inadvertently targeted in DLPFC tES. Head models were generated from the Human Connectome Project database's T1 + T2-weighted MRIs of 80 healthy adults. Two common DLPFC montages were simulated; symmetric-F4/F3, and asymmetric-F4/Fp1. Averaged EF was extracted from (1) the center of the target electrode (F4), and (2) the top 1% of voxels showing the strongest EF in individualized EF maps. Interindividual variabilities were quantified with the standard deviation of EF peak location/value. Similar steps were repeated with 66 participants with methamphetamine use disorder (MUDs) as an independent clinical population. In healthy adults, the group-level location of EF peaks was situated in the medial-frontopolar, and the individualized EF peaks were positioned in a cube with a volume of 29 cm3 /46 cm3 (symmetric/asymmetric montages). EFs in the frontopolar area were significantly higher than EF "under" the target electrode in both symmetric (peak: 0.41 ± 0.06, F4:0.22 ± 0.04) and asymmetric (peak: 0.38 ± 0.04, F4:0.2 ± 0.04) montages (Heges'g > 0.7). Similar results with slight between-group differences were found in MUDs. We highlighted that in common DLPFC tES montages, in addition to interindividual/intergroup variability, the frontopolar received the highest EFs rather than DLPFC as the main target. We specifically recommended considering the potential involvement of the frontopolar area as a mechanism underlying the effectiveness of DLPFC tES protocols.
Collapse
Affiliation(s)
- Ghazaleh Soleimani
- Department of Psychiatry and Behavioral SciencesUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Rayus Kuplicki
- Laureate Institute for Brain Research (LIBR)TulsaOklahomaUSA
| | - Jazmin Camchong
- Department of Psychiatry and Behavioral SciencesUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Alexander Opitz
- Department of Biomedical EngineeringUniversity of MinnesotaMinneapolisMinnesotaUSA
| | | | - Kelvin O. Lim
- Department of Psychiatry and Behavioral SciencesUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Hamed Ekhtiari
- Department of Psychiatry and Behavioral SciencesUniversity of MinnesotaMinneapolisMinnesotaUSA
- Laureate Institute for Brain Research (LIBR)TulsaOklahomaUSA
| |
Collapse
|
6
|
Razza LB, Wischnewski M, Suen P, De Smet S, da Silva PHR, Catoira B, Brunoni AR, Vanderhasselt MA. An electric field modeling study with meta-analysis to understand the antidepressant effects of transcranial direct current stimulation (tDCS). REVISTA BRASILEIRA DE PSIQUIATRIA (SAO PAULO, BRAZIL : 1999) 2023; 45:518-529. [PMID: 37400373 PMCID: PMC10897770 DOI: 10.47626/1516-4446-2023-3116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 06/08/2023] [Indexed: 07/05/2023]
Abstract
OBJECTIVE Transcranial direct current stimulation (tDCS) has mixed effects for major depressive disorder (MDD) symptoms, partially owing to large inter-experimental variability in tDCS protocols and their correlated induced electric fields (E-fields). We investigated whether the E-field strength of distinct tDCS parameters was associated with antidepressant effect. METHODS A meta-analysis was performed with placebo-controlled clinical trials of tDCS enrolling MDD patients. PubMed, EMBASE, and Web of Science were searched from inception to March 10, 2023. Effect sizes of tDCS protocols were correlated with E-field simulations (SimNIBS) of brain regions of interest (bilateral dorsolateral prefrontal cortex [DLPFC] and bilateral subgenual anterior cingulate cortex [sgACC]). Moderators of tDCS responses were also investigated. RESULTS A total of 20 studies were included (21 datasets, 1,008 patients), using 11 distinct tDCS protocols. Results revealed a moderate effect for MDD (g = 0.41, 95%CI 0.18-0.64), while cathode position and treatment strategy were found to be moderators of response. A negative association between effect size and tDCS-induced E-field magnitude was seen, with stronger E-fields in the right frontal and medial parts of the DLPFC (targeted by the cathode) leading to smaller effects. No association was found for the left DLPFC and the bilateral sgACC. An optimized tDCS protocol is proposed. CONCLUSION Our results highlight the need for a standardized tDCS protocol in MDD clinical trials.
Collapse
Affiliation(s)
- Lais B Razza
- Department of Head and Skin, Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, Ghent, Belgium. Ghent Experimental Psychiatry Lab, Ghent, Belgium
| | - Miles Wischnewski
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Paulo Suen
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências, Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP, Brazil
| | - Stefanie De Smet
- Department of Head and Skin, Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, Ghent, Belgium. Ghent Experimental Psychiatry Lab, Ghent, Belgium
| | - Pedro Henrique Rodrigues da Silva
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências, Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP, Brazil
| | - Beatriz Catoira
- Department of Head and Skin, Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, Ghent, Belgium. Ghent Experimental Psychiatry Lab, Ghent, Belgium. Department of Psychiatry, Free University Brussels, Ixelles, Belgium
| | - André R Brunoni
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências, Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP, Brazil. Departamento de Clínica Médica, Hospital das Clínicas, Faculdade de Medicina, USP, São Paulo, SP, Brazil. Hospital das Clínicas, USP, São Paulo, SP, Brazil
| | - Marie-Anne Vanderhasselt
- Department of Head and Skin, Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, Ghent, Belgium. Ghent Experimental Psychiatry Lab, Ghent, Belgium
| |
Collapse
|
7
|
Van Hoornweder S, Nuyts M, Frieske J, Verstraelen S, Meesen RLJ, Caulfield KA. Outcome measures for electric field modeling in tES and TMS: A systematic review and large-scale modeling study. Neuroimage 2023; 281:120379. [PMID: 37716590 PMCID: PMC11008458 DOI: 10.1016/j.neuroimage.2023.120379] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/18/2023] [Accepted: 09/13/2023] [Indexed: 09/18/2023] Open
Abstract
BACKGROUND Electric field (E-field) modeling is a potent tool to estimate the amount of transcranial magnetic and electrical stimulation (TMS and tES, respectively) that reaches the cortex and to address the variable behavioral effects observed in the field. However, outcome measures used to quantify E-fields vary considerably and a thorough comparison is missing. OBJECTIVES This two-part study aimed to examine the different outcome measures used to report on tES and TMS induced E-fields, including volume- and surface-level gray matter, region of interest (ROI), whole brain, geometrical, structural, and percentile-based approaches. The study aimed to guide future research in informed selection of appropriate outcome measures. METHODS Three electronic databases were searched for tES and/or TMS studies quantifying E-fields. The identified outcome measures were compared across volume- and surface-level E-field data in ten tES and TMS modalities targeting two common targets in 100 healthy individuals. RESULTS In the systematic review, we extracted 308 outcome measures from 202 studies that adopted either a gray matter volume-level (n = 197) or surface-level (n = 111) approach. Volume-level results focused on E-field magnitude, while surface-level data encompassed E-field magnitude (n = 64) and normal/tangential E-field components (n = 47). E-fields were extracted in ROIs, such as brain structures and shapes (spheres, hexahedra and cylinders), or the whole brain. Percentiles or mean values were mostly used to quantify E-fields. Our modeling study, which involved 1,000 E-field models and > 1,000,000 extracted E-field values, revealed that different outcome measures yielded distinct E-field values, analyzed different brain regions, and did not always exhibit strong correlations in the same within-subject E-field model. CONCLUSIONS Outcome measure selection significantly impacts the locations and intensities of extracted E-field data in both tES and TMS E-field models. The suitability of different outcome measures depends on the target region, TMS/tES modality, individual anatomy, the analyzed E-field component and the research question. To enhance the quality, rigor, and reproducibility in the E-field modeling domain, we suggest standard reporting practices across studies and provide four recommendations.
Collapse
Affiliation(s)
- Sybren Van Hoornweder
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium.
| | - Marten Nuyts
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium
| | - Joana Frieske
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium; Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Stefanie Verstraelen
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium
| | - Raf L J Meesen
- REVAL - Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium; Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Kevin A Caulfield
- Brain Stimulation Laboratory, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, United States.
| |
Collapse
|
8
|
Razza L, Vanderhasselt M, Luethi M, Repple J, Busatto G, Buchpiguel C, Brunoni A, da Silva P. Cortical thickness is related to working memory performance after non-invasive brain stimulation. Braz J Med Biol Res 2023; 56:e12945. [PMID: 37878887 PMCID: PMC10591489 DOI: 10.1590/1414-431x2023e12945] [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: 06/13/2023] [Accepted: 08/30/2023] [Indexed: 10/27/2023] Open
Abstract
Non-invasive brain stimulation (NIBS) probing the dorsolateral prefrontal cortex (DLPFC) has been shown to have little effect on working memory. The variability of NIBS responses might be explained by inter-subject brain anatomical variability. We investigated whether baseline cortical brain thickness of regions of interest was associated with working memory performance after NIBS by performing a secondary analysis of previously published research. Structural magnetic resonance imaging data were analyzed from healthy subjects who received transcranial direct current stimulation (tDCS), intermittent theta-burst stimulation (iTBS), and placebo. Twenty-two participants were randomly assigned to receive all the interventions in a random order. The working memory task was conducted after the end of each NIBS session. Regions of interest were the bilateral DLPFC, medial prefrontal cortex, and posterior cingulate cortex. Overall, 66 NIBS sessions were performed. Findings revealed a negative significant association between cortical thickness of the bilateral dorsolateral prefrontal cortex and reaction time for both tDCS (left: P=0.045, right: P=0.037) and iTBS (left: P=0.007, right: P=0.007) compared to placebo. A significant positive association was found for iTBS and posterior cingulate cortex (P=0.03). No association was found for accuracy. Our findings provide the first evidence that individual cortical thickness of healthy subjects might be associated with working memory performance following different NIBS interventions. Therefore, cortical thickness could explain - to some extent - the heterogeneous effects of NIBS probing the DLPFC.
Collapse
Affiliation(s)
- L.B. Razza
- Department of Head and Skin - Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, Ghent, Belgium
- Ghent Experimental Psychiatry (GHEP) Lab, Ghent, Belgium
| | - M.A. Vanderhasselt
- Department of Head and Skin - Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, Ghent, Belgium
- Ghent Experimental Psychiatry (GHEP) Lab, Ghent, Belgium
| | - M.S. Luethi
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - J. Repple
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Frankfurt, Germany
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - G. Busatto
- Laboratório de Neuroimagem em Psiquiatria (LIM-21) e Instituto de Psiquiatria, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - C.A. Buchpiguel
- Divisão de Medicina Nuclear (LIM-43), Instituto de Radiologia, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - A.R. Brunoni
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
- Departamento de Clínica Médica, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
- Hospital Universitário, Universidade de São Paulo, São Paulo, SP, Brasil
| | - P.H.R. da Silva
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
- Hospital Universitário, Universidade de São Paulo, São Paulo, SP, Brasil
| |
Collapse
|
9
|
Wivatvongvana P, Soonthornthum C, Kitisak K. Intermittent tetraburst stimulation combined with transcranial direct current stimulation once weekly for treatment-resistant depression: a case report. J Med Case Rep 2023; 17:415. [PMID: 37779185 PMCID: PMC10544463 DOI: 10.1186/s13256-023-04152-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 08/30/2023] [Indexed: 10/03/2023] Open
Abstract
BACKGROUND Single-time non-invasive brain stimulation was carried out using the two-technique approach on a patient suffering from treatment-resistant depression. Five treatment sessions given at weekly intervals resulted in a significant improvement in the Patient Health Questionnaire-9 score for up to 6 weeks. The findings of this study could pave the way for a more efficient less resource-intensive time- and budget-saving technique of employing non-invasive brain stimulation for patients with treatment-resistant depression by minimizing the number of stimulation sessions. CASE PRESENTATION A 67-year-old married non-Latino white American woman suffering from treatment-resistant depression received intermittent tetraburst stimulation in combination with transcranial direct current stimulation weekly for 5 consecutive weeks. Diagnostic transcranial magnetic stimulation showed an observable electrophysiological change. The patient reported a drastic improvement in Patient Health Questionnaire-9 score up until 6-week follow-up and expressed satisfaction with the treatment. CONCLUSIONS This case study suggests that a streamlined protocol for using non-invasive brain stimulation could prove more effective for patients and healthcare providers in terms of safety in comparison to the present guidelines.
Collapse
Affiliation(s)
- Pakorn Wivatvongvana
- Department of Rehabilitation Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
| | - Chutimon Soonthornthum
- Department of Rehabilitation Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Kittipong Kitisak
- Department of Rehabilitation Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| |
Collapse
|
10
|
Zanao TA, Luethi MS, Goerigk S, Suen P, Diaz AP, Soares JC, Brunoni AR. White matter predicts tDCS antidepressant effects in a sham-controlled clinical trial study. Eur Arch Psychiatry Clin Neurosci 2023; 273:1421-1431. [PMID: 36336757 DOI: 10.1007/s00406-022-01504-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 10/14/2022] [Indexed: 11/09/2022]
Abstract
Transcranial direct current stimulation (tDCS) has been used as treatment for depression, but its effects are heterogeneous. We investigated, in a subsample of the clinical trial Escitalopram versus Electrical Direct Current Therapy for Depression Study (ELECTTDCS), whether white matter areas associated with depression disorder were associated with tDCS response. Baseline diffusion tensor imaging data were analyzed from 49 patients (34 females, mean age 41.9) randomized to escitalopram 20 mg/day, tDCS (2 mA, 30 min, 22 sessions), or placebo. Antidepressant outcomes were assessed by Hamilton Depression Rating Scale-17 (HDRS) after 10-week treatment. We used whole-brain tractography for extracting white matter measures for anterior corpus callosum, and bilaterally for cingulum bundle, striato-frontal, inferior occipito-frontal fasciculus and uncinate. For the rostral body, tDCS group showed higher MD associated with antidepressant effects (estimate = -5.13 ± 1.64, p = 0.002), and tDCS significantly differed from the placebo and the escitalopram group. The left striato-frontal tract showed higher FA associated with antidepressant effects (estimate = -2.14 ± 0.72, p = 0.003), and tDCS differed only from the placebo group. For the right uncinate, the tDCS group lower AD values were associated with higher HDRS decrease (estimate = -1.45 ± 0.67, p = 0.031). Abnormalities in white matter MDD-related areas are associated with tDCS antidepressant effects. Suggested better white matter microstructure of the left prefrontal cortex was associated with tDCS antidepressant effects. Future studies should investigate whether these findings are driven by electric field diffusion and density in these areas.
Collapse
Affiliation(s)
- Tamires A Zanao
- Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Matthias S Luethi
- Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Stephan Goerigk
- Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, Laboratory of Neurosciences LIM-27), São Paulo, Brazil
- Department of Psychological Methodology and Assessment, LMU Munich, Munich, Germany
| | - Paulo Suen
- Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Alexandre P Diaz
- Hochschule Fresenius, University of Applied Sciences, Munich, Germany
| | - Jair C Soares
- Hochschule Fresenius, University of Applied Sciences, Munich, Germany
| | - Andre R Brunoni
- Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
- Hospital Universitário, Departamento de Clínica Médica, Faculdade de Medicina da USP, São Paulo, Brazil.
| |
Collapse
|
11
|
Cho JY, Van Hoornweder S, Sege CT, Antonucci MU, McTeague LM, Caulfield KA. Template MRI scans reliably approximate individual and group-level tES and TMS electric fields induced in motor and prefrontal circuits. Front Neural Circuits 2023; 17:1214959. [PMID: 37736398 PMCID: PMC10510202 DOI: 10.3389/fncir.2023.1214959] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 08/09/2023] [Indexed: 09/23/2023] Open
Abstract
Background Electric field (E-field) modeling is a valuable method of elucidating the cortical target engagement from transcranial magnetic stimulation (TMS) and transcranial electrical stimulation (tES), but it is typically dependent on individual MRI scans. In this study, we systematically tested whether E-field models in template MNI-152 and Ernie scans can reliably approximate group-level E-fields induced in N = 195 individuals across 5 diagnoses (healthy, alcohol use disorder, tobacco use disorder, anxiety, depression). Methods We computed 788 E-field models using the CHARM-SimNIBS 4.0.0 pipeline with 4 E-field models per participant (motor and prefrontal targets for TMS and tES). We additionally calculated permutation analyses to determine the point of stability of E-fields to assess whether the 152 brains represented in the MNI-152 template is sufficient. Results Group-level E-fields did not significantly differ between the individual vs. MNI-152 template and Ernie scans for any stimulation modality or location (p > 0.05). However, TMS-induced E-field magnitudes significantly varied by diagnosis; individuals with generalized anxiety had significantly higher prefrontal and motor E-field magnitudes than healthy controls and those with alcohol use disorder and depression (p < 0.001). The point of stability for group-level E-field magnitudes ranged from 42 (motor tES) to 52 participants (prefrontal TMS). Conclusion MNI-152 and Ernie models reliably estimate group-average TMS and tES-induced E-fields transdiagnostically. The MNI-152 template includes sufficient scans to control for interindividual anatomical differences (i.e., above the point of stability). Taken together, using the MNI-152 and Ernie brains to approximate group-level E-fields is a valid and reliable approach.
Collapse
Affiliation(s)
- Jennifer Y. Cho
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States
| | - Sybren Van Hoornweder
- Faculty of Rehabilitation Sciences, REVAL–Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
| | - Christopher T. Sege
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, United States
| | - Michael U. Antonucci
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States
| | - Lisa M. McTeague
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, United States
- Ralph H. Johnson VA Medical Center, Charleston, SC, United States
| | - Kevin A. Caulfield
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, United States
| |
Collapse
|
12
|
Soleimani G, Towhidkhah F, Saviz M, Ekhtiari H. Cortical Morphology in Cannabis Use Disorder: Implications for Transcranial Direct Current Stimulation Treatment. Basic Clin Neurosci 2023; 14:647-662. [PMID: 38628838 PMCID: PMC11016884 DOI: 10.32598/bcn.2021.3400.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 09/18/2021] [Accepted: 05/27/2023] [Indexed: 04/19/2024] Open
Abstract
Introduction Transcranial direct current stimulation (tDCS) has been studied as an adjunctive treatment option for substance use disorders (SUDs). Alterations in brain structure following SUD may change tDCS-induced electric field (EF) and subsequent responses; however, group-level differences between healthy controls (HC) and participants with SUDs in terms of EF and its association with cortical architecture have not yet been modeled quantitatively. This study provides a methodology for group-level analysis of computational head models to investigate the influence of cortical morphology metrics on EFs. Methods Whole-brain surface-based morphology was conducted, and cortical thickness, volume, and surface area were compared between participants with cannabis use disorders (CUD) (n=20) and age-matched HC (n=22). Meanwhile, EFs were simulated for bilateral tDCS over the dorsolateral prefrontal cortex. The effects of structural alterations on EF distribution were investigated based on individualized computational head models. Results Regarding EF, no significant difference was found within the prefrontal cortex; however, EFs were significantly different in left-postcentral and right-superior temporal gyrus (P<0.05) with higher levels of variance in CUD compared to HC [F(39, 43)=5.31, P<0.0001, C=0.95]. Significant differences were observed in cortical area (caudal anterior cingulate and rostral middle frontal), thickness (lateral orbitofrontal), and volume (paracentral and fusiform) between the two groups. Conclusion Brain morphology and tDCS-induced EFs may be changed following CUD; however, differences between CUD and HCs in EFs do not always overlap with brain areas that show structural alterations. To sufficiently modulate stimulation targets, whether individuals with CUD need different stimulation doses based on tDCS target location should be checked.
Collapse
Affiliation(s)
- Ghazaleh Soleimani
- Department of Biomedical Engineering, Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
| | - Farzad Towhidkhah
- Department of Biomedical Engineering, Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
| | - Mehrdad Saviz
- Department of Biomedical Engineering, Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
| | - Hamed Ekhtiari
- Laureate Institute of Brain Research, Tulsa, United States of America
| |
Collapse
|
13
|
Hunold A, Haueisen J, Nees F, Moliadze V. Review of individualized current flow modeling studies for transcranial electrical stimulation. J Neurosci Res 2023; 101:405-423. [PMID: 36537991 DOI: 10.1002/jnr.25154] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 11/30/2022] [Accepted: 12/03/2022] [Indexed: 12/24/2022]
Abstract
There is substantial intersubject variability of behavioral and neurophysiological responses to transcranial electrical stimulation (tES), which represents one of the most important limitations of tES. Many tES protocols utilize a fixed experimental parameter set disregarding individual anatomical and physiological properties. This one-size-fits-all approach might be one reason for the observed interindividual response variability. Simulation of current flow applying head models based on available anatomical data can help to individualize stimulation parameters and contribute to the understanding of the causes of this response variability. Current flow modeling can be used to retrospectively investigate the characteristics of tES effectivity. Previous studies examined, for example, the impact of skull defects and lesions on the modulation of current flow and demonstrated effective stimulation intensities in different age groups. Furthermore, uncertainty analysis of electrical conductivities in current flow modeling indicated the most influential tissue compartments. Current flow modeling, when used in prospective study planning, can potentially guide stimulation configurations resulting in individually effective tES. Specifically, current flow modeling using individual or matched head models can be employed by clinicians and scientists to, for example, plan dosage in tES protocols for individuals or groups of participants. We review studies that show a relationship between the presence of behavioral/neurophysiological responses and features derived from individualized current flow models. We highlight the potential benefits of individualized current flow modeling.
Collapse
Affiliation(s)
- Alexander Hunold
- Institute of Biomedical Engineering and Informatics, TU Ilmenau, Ilmenau, Germany
| | - Jens Haueisen
- Institute of Biomedical Engineering and Informatics, TU Ilmenau, Ilmenau, Germany
| | - Frauke Nees
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | - Vera Moliadze
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| |
Collapse
|
14
|
Van Hoornweder S, Nuyts M, Frieske J, Verstraelen S, Meesen RLJ, Caulfield KA. A Systematic Review and Large-Scale tES and TMS Electric Field Modeling Study Reveals How Outcome Measure Selection Alters Results in a Person- and Montage-Specific Manner. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.22.529540. [PMID: 36865243 PMCID: PMC9980068 DOI: 10.1101/2023.02.22.529540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
Background Electric field (E-field) modeling is a potent tool to examine the cortical effects of transcranial magnetic and electrical stimulation (TMS and tES, respectively) and to address the high variability in efficacy observed in the literature. However, outcome measures used to report E-field magnitude vary considerably and have not yet been compared in detail. Objectives The goal of this two-part study, encompassing a systematic review and modeling experiment, was to provide an overview of the different outcome measures used to report the magnitude of tES and TMS E-fields, and to conduct a direct comparison of these measures across different stimulation montages. Methods Three electronic databases were searched for tES and/or TMS studies reporting E-field magnitude. We extracted and discussed outcome measures in studies meeting the inclusion criteria. Additionally, outcome measures were compared via models of four common tES and two TMS modalities in 100 healthy younger adults. Results In the systematic review, we included 118 studies using 151 outcome measures related to E-field magnitude. Structural and spherical regions of interest (ROI) analyses and percentile-based whole-brain analyses were used most often. In the modeling analyses, we found that there was an average of only 6% overlap between ROI and percentile-based whole-brain analyses in the investigated volumes within the same person. The overlap between ROI and whole-brain percentiles was montage- and person-specific, with more focal montages such as 4Ã-1 and APPS-tES, and figure-of-eight TMS showing up to 73%, 60%, and 52% overlap between ROI and percentile approaches respectively. However, even in these cases, 27% or more of the analyzed volume still differed between outcome measures in every analyses. Conclusions The choice of outcome measures meaningfully alters the interpretation of tES and TMS E-field models. Well-considered outcome measure selection is imperative for accurate interpretation of results, valid between-study comparisons, and depends on stimulation focality and study goals. We formulated four recommendations to increase the quality and rigor of E-field modeling outcome measures. With these data and recommendations, we hope to guide future studies towards informed outcome measure selection, and improve the comparability of studies.
Collapse
|
15
|
Yoo YJ, Park HJ, Kim TY, Yoon MJ, Oh HM, Lee YJ, Hong BY, Kim D, Kim TW, Lim SH. MRI-Based Personalized Transcranial Direct Current Stimulation to Enhance the Upper Limb Function in Patients with Stroke: Study Protocol for a Double-Blind Randomized Controlled Trial. Brain Sci 2022; 12:1673. [PMID: 36552133 PMCID: PMC9775341 DOI: 10.3390/brainsci12121673] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 11/24/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
Transcranial direct current stimulation (tDCS) has been shown to have the potential to improve the motor recovery of the affected upper limbs in patients with stroke, and recently, several optimized tDCS methods have been proposed to magnify its effectiveness. This study aims to determine the effectiveness of personalized tDCS using brain MRI-based electrical field simulation and optimization, to enhance motor recovery of the upper limbs in the patients. This trial is a double-blind, randomized controlled trial in the subacute to chronic rehabilitation phase. Forty-two adult stroke patients with unilateral upper limb involvement will be randomly allocated to three groups: (1) personalized tDCS with MRI-based electrical field simulation and optimized stimulation, (2) conventional tDCS with bihemispheric stimulation of the primary motor cortex, and (3) sham tDCS. All three groups will undergo 10 intervention sessions with 30 min of 2-mA intensity stimulation, during a regular upper limb rehabilitation program over two weeks. The primary outcome measure for the motor recovery of the upper limb impairment is the Fugl-Meyer assessment for the upper extremity score at the end of the intervention, and the secondary measures include changes in the motor evoked potentials, the frequency power and coherence of the electroencephalography, performance in activities of daily living, and adverse events with a 1-month follow-up assessment. The primary outcome will be analyzed on the intention-to-treat principle. There is a paucity of studies regarding the effectiveness of personalized and optimized tDCS that considers individual brain lesions and electrical field characteristics in the real world. No feasibility or pivotal studies have been performed in stroke patients using brain MRI, to determine a lesion-specific tDCS simulation and optimization that considers obstacles in the segmentation and analysis of the affected brain tissue, such as ischemic and hemorrhagic lesions. This trial will contribute to addressing the effectiveness and safety of personalized tDCS, using brain MRI-based electrical field simulation and optimization, to enhance the motor recovery of the upper limbs in patients with stroke.
Collapse
Affiliation(s)
- Yeun Jie Yoo
- Department of Rehabilitation Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 16247, Republic of Korea
| | - Hye Jung Park
- Department of Rehabilitation Medicine, National Traffic Injury Rehabilitation Hospital, Yangpyeong 12564, Republic of Korea
| | - Tae Yeong Kim
- Research Institute, NEUROPHET Inc., Seoul 06234, Republic of Korea
| | - Mi-Jeong Yoon
- Department of Rehabilitation Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 16247, Republic of Korea
| | - Hyun-Mi Oh
- Department of Rehabilitation Medicine, National Traffic Injury Rehabilitation Hospital, Yangpyeong 12564, Republic of Korea
| | - Yoon Jung Lee
- Department of Rehabilitation Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 16247, Republic of Korea
| | - Bo Young Hong
- Department of Rehabilitation Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 16247, Republic of Korea
| | - Donghyeon Kim
- Research Institute, NEUROPHET Inc., Seoul 06234, Republic of Korea
| | - Tae-Woo Kim
- Department of Rehabilitation Medicine, National Traffic Injury Rehabilitation Hospital, Yangpyeong 12564, Republic of Korea
| | - Seong Hoon Lim
- Department of Rehabilitation Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 16247, Republic of Korea
| |
Collapse
|
16
|
Optimized APPS-tDCS electrode position, size, and distance doubles the on-target stimulation magnitude in 3000 electric field models. Sci Rep 2022; 12:20116. [PMID: 36418438 PMCID: PMC9684449 DOI: 10.1038/s41598-022-24618-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 11/17/2022] [Indexed: 11/24/2022] Open
Abstract
Transcranial direct current stimulation (tDCS) is a widely used noninvasive brain stimulation technique with mixed results to date. A potential solution is to apply more efficient stimulation to ensure that each participant receives sufficient cortical activation. In this four-part study, we used electric field (E-field) modeling to systematically investigate the cortical effects of conventional and novel tDCS electrode montages, with the goal of creating a new easily adoptable form of tDCS that induces higher and more focal E-fields. We computed 3000 anatomically accurate, MRI-based E-field models using 2 mA tDCS to target the left primary motor cortex in 200 Human Connectome Project (HCP) participants and tested the effects of: 1. Novel Electrode Position, 2. Electrode Size, and 3. Inter-Electrode Distance on E-field magnitude and focality. In particular, we examined the effects of placing electrodes surrounding the corticomotor target in the anterior and posterior direction (anterior posterior pad surround tDCS; APPS-tDCS). We found that electrode position, electrode size, and inter-electrode distance all significantly impact the cortical E-field magnitude and focality of stimulation (all p < 0.0001). At the same 2 mA scalp stimulation intensity, APPS-tDCS with smaller than conventional 1 × 1 cm electrodes surrounding the neural target deliver more than double the on-target cortical E-field (APPS-tDCS: average of 0.55 V/m from 2 mA; M1-SO and bilateral M1: both 0.27 V/m from 2 mA) while stimulating only a fraction of the off-target brain regions; 2 mA optimized APPS-tDCS produces 4.08 mA-like cortical E-fields. In sum, this new optimized APPS-tDCS method produces much stronger cortical stimulation intensities at the same 2 mA scalp intensity. APPS-tDCS also more focally stimulates the cortex at the intended target, using simple EEG coordinate locations and without MRI scans. This APPS-tDCS method is adoptable to any existing, commercially available tDCS device and can be used to ensure sufficient cortical activation in each person. Future directions include testing whether APPS-tDCS produces larger and more consistent therapeutic tDCS effects.
Collapse
|
17
|
Van Hoornweder S, A Caulfield K, Nitsche M, Thielscher A, L J Meesen R. Addressing transcranial electrical stimulation variability through prospective individualized dosing of electric field strength in 300 participants across two samples: the 2-SPED approach. J Neural Eng 2022; 19:056045. [PMID: 36240729 PMCID: PMC9855635 DOI: 10.1088/1741-2552/ac9a78] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 10/13/2022] [Accepted: 10/14/2022] [Indexed: 01/25/2023]
Abstract
Objective. Transcranial electrical stimulation (tES) is a promising method for modulating brain activity and excitability with variable results to date. To minimize electric (E-)field strength variability, we introduce the 2-sample prospective E-field dosing (2-SPED) approach, which uses E-field strengths induced by tES in a first population to individualize stimulation intensity in a second population.Approach. We performed E-field modeling of three common tES montages in 300 healthy younger adults. First, permutation analyses identified the sample size required to obtain a stable group average E-field in the primary motor cortex (M1), with stability being defined as the number of participants where all group-average E-field strengths ± standard deviation did not leave the population's 5-95 percentile range. Second, this stable group average was used to individualize tES intensity in a second independent population (n = 100). The impact of individualized versus fixed intensity tES on E-field strength variability was analyzed.Main results. In the first population, stable group average E-field strengths (V/m) in M1 were achieved at 74-85 participants, depending on the tES montage. Individualizing the stimulation intensity (mA) in the second population resulted in uniform M1 E-field strength (all p < 0.001) and significantly diminished peak cortical E-field strength variability (all p < 0.01), across all montages.Significance. 2-SPED is a feasible way to prospectively induce more uniform E-field strengths in a region of interest. Future studies might apply 2-SPED to investigate whether decreased E-field strength variability also results in decreased physiological and behavioral variability in response to tES.
Collapse
Affiliation(s)
- Sybren Van Hoornweder
- REVAL—Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium
| | - Kevin A Caulfield
- Brain Stimulation Laboratory, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, United States of America
| | - Michael Nitsche
- Department of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany
- Department of Neurology, University Medical Hospital Bergmannsheil, Bürkle de la Camp-Platz, Bochum, Germany
| | - Axel Thielscher
- Section for Magnetic Resonance, Department of Health Technology, Technical University of Denmark, Kgs Lyngby, Denmark
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark
| | - Raf L J Meesen
- REVAL—Rehabilitation Research Center, Faculty of Rehabilitation Sciences, University of Hasselt, Diepenbeek, Belgium
- Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences KU Leuven, Leuven, Belgium
| |
Collapse
|
18
|
Soleimani G, Towhidkhah F, Oghabian MA, Ekhtiari H. DLPFC stimulation alters large-scale brain networks connectivity during a drug cue reactivity task: A tDCS-fMRI study. Front Syst Neurosci 2022; 16:956315. [PMID: 36276607 PMCID: PMC9582757 DOI: 10.3389/fnsys.2022.956315] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 08/11/2022] [Indexed: 11/20/2022] Open
Abstract
Transcranial direct current stimulation (tDCS) is a promising intervention for reducing craving/consumption in individuals with substance use disorders. However, its exact mechanism of action has not yet been well explored. We aimed to examine the network-based effects of tDCS while people with methamphetamine use disorders (MUDs) were exposed to drug cues. In a randomized, double-blind sham-controlled trial with a crossover design, 15 participants with MUDs were recruited to receive 20 min of active/sham tDCS with an anode/cathode over F4/F3. MRI data, including structural and task-based functional MRI during a standard drug cue-reactivity task, were collected immediately before and after stimulation sessions. Craving scores were also recorded before and after MRI scans. Individualized head models were generated to determine brain regions with strong electric fields (EFs). Using atlas-based parcellation of head models, averaged EFs were extracted from the main nodes of three large-scale networks that showed abnormalities in MUDs; executive control (ECN), default mode (DMN), and ventral attention (VAN) networks. Main nodes with high EF intensity were used as seed regions for task-based functional connectivity (FC) [using generalized psychophysiological interaction (gPPI)] and activity [using a general linear model (GLM)] calculations. Subjective craving showed a significant reduction in immediate craving after active (-15.42 ± 5.42) compared to sham (-1 ± 2.63). In seed-to-whole brain results, the PFC node in ECN showed an enhanced PPI connectivity with precuneus and visual cortex; the cluster center in MNI (6, -84, -12); the PFC node in DMN showed a decreased PPI connectivity with contralateral parietal cortex;(-48, -60, 46). ROI-to-ROI results showed increased PPI connectivity within/between ECN-VAN while connectivity between ECN-DMN decreased. In line with connectivity, functional activity in the right PFC node in DMN decreased after tDCS while activity in PFC nodes of ECN/VAN increased. EF calculations in PFC nodes revealed that EF in DMN was outward, while the direction of EFs was inward in ECN/VAN. This study provides new insight into neural circuitry underlying MUDs that can be modulated by tDCS at the network level and specifically suggests that bilateral tDCS increases cortical excitability in ECN and VAN, while it has opposite effects on DMN that may be related to the direction of EFs.
Collapse
Affiliation(s)
- Ghazaleh Soleimani
- Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
- Iranian National Center for Addiction Studies, Tehran University of Medical Science, Tehran, Iran
| | - Farzad Towhidkhah
- Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
| | - Mohammad Ali Oghabian
- Neuroimaging and Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamed Ekhtiari
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
- Laureate Institute for Brain Research, Tulsa, OK, United States
| |
Collapse
|
19
|
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.
Collapse
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
| |
Collapse
|
20
|
Razza LB, da Silva PHR, Busatto GF, Duran FLDS, Pereira J, De Smet S, Klein I, Zanão TA, Luethi MS, Baeken C, Vanderhasselt MA, Buchpiguel CA, Brunoni AR. Brain Perfusion Alterations Induced by Standalone and Combined Non-Invasive Brain Stimulation over the Dorsolateral Prefrontal Cortex. Biomedicines 2022; 10:2410. [PMID: 36289672 PMCID: PMC9598449 DOI: 10.3390/biomedicines10102410] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 11/17/2022] Open
Abstract
Non-invasive brain stimulation (NIBS) interventions are promising for the treatment of psychiatric disorders. Notwithstanding, the NIBS mechanisms of action over the dorsolateral prefrontal cortex (DLPFC), a hub that modulates affective and cognitive processes, have not been completely mapped. We aimed to investigate regional cerebral blood flow (rCBF) changes over the DLPFC and the subgenual anterior cingulate cortex (sgACC) of different NIBS protocols using Single-Photon Emission Computed Tomography (SPECT). A factorial, within-subjects, double-blinded study was performed. Twenty-three healthy subjects randomly underwent four sessions of NIBS applied once a week: transcranial direct current stimulation (tDCS), intermittent theta-burst stimulation (iTBS), combined tDCS + iTBS and placebo. The radiotracer 99m-Technetium-ethylene-cysteine-dimer was injected intravenously during the NIBS session, and SPECT neuroimages were acquired after the session. Results revealed that the combination of tDCS + iTBS increased right sgACC rCBF. Cathodal and anodal tDCS increased and decreased DLPFC rCBF, respectively, while iTBS showed no significant changes compared to the placebo. Our findings suggest that the combined protocol might optimize the activity in the right sgACC and encourage future trials with neuropsychiatric populations. Moreover, mechanistic studies to investigate the effects of tDCS and iTBS over the DLPFC are required.
Collapse
Affiliation(s)
- Lais Boralli Razza
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
- Department of Head and Skin, Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, 9000 Ghent, Belgium
- Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, 9000 Ghent, Belgium
| | - Pedro Henrique Rodrigues da Silva
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
| | - Geraldo F. Busatto
- Laboratório de Neuroimagem em Psiquiatria (LIM-21), Instituto de Psiquiatria, Faculdade de Medicina da Universidade de São Paulo, R. Dr. Ovidio Pires de Campos 785, São Paulo 05403-000, Brazil
| | - Fábio Luis de Souza Duran
- Laboratório de Neuroimagem em Psiquiatria (LIM-21), Instituto de Psiquiatria, Faculdade de Medicina da Universidade de São Paulo, R. Dr. Ovidio Pires de Campos 785, São Paulo 05403-000, Brazil
| | - Juliana Pereira
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
| | - Stefanie De Smet
- Department of Head and Skin, Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, 9000 Ghent, Belgium
- Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, 9000 Ghent, Belgium
| | - Izio Klein
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
| | - Tamires A. Zanão
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
| | - Matthias S. Luethi
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
| | - Chris Baeken
- Department of Head and Skin, Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, 9000 Ghent, Belgium
- Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, 9000 Ghent, Belgium
- Department of Psychiatry (UZBrussel), Free University Brussels, 1090 Brussels, Belgium
- Department of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
- Department of Experimental Clinical and Health Psychology, Ghent University, 9000 Ghent, Belgium
| | - Marie-Anne Vanderhasselt
- Department of Head and Skin, Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, 9000 Ghent, Belgium
- Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, 9000 Ghent, Belgium
| | - Carlos Alberto Buchpiguel
- Divisão de Medicina Nuclear (LIM-43), Instituto de Radiologia, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246-904, Brazil
| | - André Russowsky Brunoni
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, Brazil
- Laboratório de Neuroimagem em Psiquiatria (LIM-21), Instituto de Psiquiatria, Faculdade de Medicina da Universidade de São Paulo, R. Dr. Ovidio Pires de Campos 785, São Paulo 05403-000, Brazil
- Departamento de Clínica Médica, Faculdade de Medicina da Universidade de São Paulo & Hospital Universitário, Universidade de São Paulo, Av. Prof Lineu Prestes 2565, São Paulo 05508-000, Brazil
- Hospital Universitário, Universidade de São Paulo, São Paulo 01246-904, Brazil
| |
Collapse
|
21
|
Mizutani-Tiebel Y, Takahashi S, Karali T, Mezger E, Bulubas L, Papazova I, Dechantsreiter E, Stoecklein S, Papazov B, Thielscher A, Padberg F, Keeser D. Differences in electric field strength between clinical and non-clinical populations induced by prefrontal tDCS: A cross-diagnostic, individual MRI-based modeling study. Neuroimage Clin 2022; 34:103011. [PMID: 35487132 PMCID: PMC9125784 DOI: 10.1016/j.nicl.2022.103011] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/17/2022] [Accepted: 04/13/2022] [Indexed: 01/25/2023]
Abstract
MDD and SCZ showed lower prefrontal tDCS-induced e-field strengths compared to HC. Average e-field strengths did not significantly differ between MDD and SCZ patients. Inter-individual variability of e-field intensities and distribution was prominent. Inter-rater variability emphasizes the importance of standardized positioning.
Introduction Prefrontal cortex (PFC) regions are promising targets for therapeutic applications of non-invasive brain stimulation, e.g. transcranial direct current stimulation (tDCS), which has been proposed as a novel intervention for major depressive disorder (MDD) and negative symptoms of schizophrenia (SCZ). However, the effects of tDCS vary inter-individually, and dose–response relationships have not been established. Stimulation parameters are often tested in healthy subjects and transferred to clinical populations. The current study investigates the variability of individual MRI-based electric fields (e-fields) of standard bifrontal tDCS across individual subjects and diagnoses. Method The study included 74 subjects, i.e. 25 patients with MDD, 24 patients with SCZ, and 25 healthy controls (HC). Individual e-fields of a common tDCS protocol (i.e. 2 mA stimulation intensity, bifrontal anode-F3/cathode-F4 montage) were modeled by two investigators using SimNIBS (2.0.1) based on structural MRI scans. Result On a whole-brain level, the average e-field strength was significantly reduced in MDD and SCZ compared to HC, but MDD and SCZ did not differ significantly. Regions of interest (ROI) analysis for PFC subregions showed reduced e-fields in Sallet areas 8B and 9 for MDD and SCZ compared to HC, whereas there was again no difference between MDD and SCZ. Within groups, we generally observed high inter-individual variability of e-field intensities at a higher percentile of voxels. Conclusion MRI-based e-field modeling revealed significant differences in e-field strengths between clinical and non-clinical populations in addition to a general inter-individual variability. These findings support the notion that dose–response relationships for tDCS cannot be simply transferred from healthy to clinical cohorts and need to be individually established for clinical groups. In this respect, MRI-based e-field modeling may serve as a proxy for individualized dosing.
Collapse
Affiliation(s)
- Yuki Mizutani-Tiebel
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; NeuroImaging Core Unit Munich (NICUM), Munich, Germany.
| | - Shun Takahashi
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan; Clinical Research and Education Center, Asakayama General Hospital, Sakai, Japan; Graduate School of Rehabilitation Science, Osaka Metropolitan University, Habikino, Japan; Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan
| | - Temmuz Karali
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; Department of Radiology, University Hospital LMU, Munich, Germany
| | - Eva Mezger
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany
| | - Lucia Bulubas
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Irina Papazova
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; Department of Psychiatry and Psychotherapy, University of Augsburg, Germany
| | - Esther Dechantsreiter
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany
| | | | - Boris Papazov
- NeuroImaging Core Unit Munich (NICUM), Munich, Germany; Department of Radiology, University Hospital LMU, Munich, Germany
| | - Axel Thielscher
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark; Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, University Hospital LMU, Munich, Germany; NeuroImaging Core Unit Munich (NICUM), Munich, Germany; Department of Radiology, University Hospital LMU, Munich, Germany; Munich Center for Neurosciences (MCN) - Brain & Mind, 82152 Planegg-Martinsried, Germany.
| |
Collapse
|
22
|
Beumer S, Boon P, Klooster DCW, van Ee R, Carrette E, Paulides MM, Mestrom RMC. Personalized tDCS for Focal Epilepsy—A Narrative Review: A Data-Driven Workflow Based on Imaging and EEG Data. Brain Sci 2022; 12:brainsci12050610. [PMID: 35624997 PMCID: PMC9139054 DOI: 10.3390/brainsci12050610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 05/03/2022] [Accepted: 05/05/2022] [Indexed: 02/01/2023] Open
Abstract
Conventional transcranial electric stimulation(tES) using standard anatomical positions for the electrodes and standard stimulation currents is frequently not sufficiently selective in targeting and reaching specific brain locations, leading to suboptimal application of electric fields. Recent advancements in in vivo electric field characterization may enable clinical researchers to derive better relationships between the electric field strength and the clinical results. Subject-specific electric field simulations could lead to improved electrode placement and more efficient treatments. Through this narrative review, we present a processing workflow to personalize tES for focal epilepsy, for which there is a clear cortical target to stimulate. The workflow utilizes clinical imaging and electroencephalography data and enables us to relate the simulated fields to clinical outcomes. We review and analyze the relevant literature for the processing steps in the workflow, which are the following: tissue segmentation, source localization, and stimulation optimization. In addition, we identify shortcomings and ongoing trends with regard to, for example, segmentation quality and tissue conductivity measurements. The presented processing steps result in personalized tES based on metrics like focality and field strength, which allow for correlation with clinical outcomes.
Collapse
Affiliation(s)
- Steven Beumer
- Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands; (P.B.); (D.C.W.K.); (E.C.); (M.M.P.); (R.M.C.M.)
- Correspondence:
| | - Paul Boon
- Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands; (P.B.); (D.C.W.K.); (E.C.); (M.M.P.); (R.M.C.M.)
- Department of Neurology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium
| | - Debby C. W. Klooster
- Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands; (P.B.); (D.C.W.K.); (E.C.); (M.M.P.); (R.M.C.M.)
- Department of Neurology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium
| | - Raymond van Ee
- Philips Research Eindhoven, High Tech Campus 34, 5656 AE Eindhoven, The Netherlands;
| | - Evelien Carrette
- Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands; (P.B.); (D.C.W.K.); (E.C.); (M.M.P.); (R.M.C.M.)
- Department of Neurology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium
| | - Maarten M. Paulides
- Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands; (P.B.); (D.C.W.K.); (E.C.); (M.M.P.); (R.M.C.M.)
- Department of Radiation Oncology, Erasmus Medical Center Cancer Institute, Burgemeester Oudlaan 50, 3062 PA Rotterdam, The Netherlands
| | - Rob M. C. Mestrom
- Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands; (P.B.); (D.C.W.K.); (E.C.); (M.M.P.); (R.M.C.M.)
| |
Collapse
|
23
|
Regenold WT, Deng ZD, Lisanby SH. Noninvasive neuromodulation of the prefrontal cortex in mental health disorders. Neuropsychopharmacology 2022; 47:361-372. [PMID: 34272471 PMCID: PMC8617166 DOI: 10.1038/s41386-021-01094-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 06/22/2021] [Accepted: 06/29/2021] [Indexed: 02/06/2023]
Abstract
More than any other brain region, the prefrontal cortex (PFC) gives rise to the singularity of human experience. It is therefore frequently implicated in the most distinctly human of all disorders, those of mental health. Noninvasive neuromodulation, including electroconvulsive therapy (ECT), repetitive transcranial magnetic stimulation (rTMS), and transcranial direct current stimulation (tDCS) among others, can-unlike pharmacotherapy-directly target the PFC and its neural circuits. Direct targeting enables significantly greater on-target therapeutic effects compared with off-target adverse effects. In contrast to invasive neuromodulation approaches, such as deep-brain stimulation (DBS), noninvasive neuromodulation can reversibly modulate neural activity from outside the scalp. This combination of direct targeting and reversibility enables noninvasive neuromodulation to iteratively change activity in the PFC and its neural circuits to reveal causal mechanisms of both disease processes and healthy function. When coupled with neuronavigation and neurophysiological readouts, noninvasive neuromodulation holds promise for personalizing PFC neuromodulation to relieve symptoms of mental health disorders by optimizing the function of the PFC and its neural circuits. ClinicalTrials.gov Identifier: NCT03191058.
Collapse
Affiliation(s)
- William T. Regenold
- grid.416868.50000 0004 0464 0574Noninvasive Neuromodulation Unit, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD USA
| | - Zhi-De Deng
- grid.416868.50000 0004 0464 0574Noninvasive Neuromodulation Unit, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD USA
| | - Sarah H. Lisanby
- grid.416868.50000 0004 0464 0574Noninvasive Neuromodulation Unit, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD USA
| |
Collapse
|
24
|
Antonenko D, Grittner U, Puonti O, Flöel A, Thielscher A. Estimation of individually induced e-field strength during transcranial electric stimulation using the head circumference. Brain Stimul 2021; 14:1055-1058. [PMID: 34246820 PMCID: PMC8497040 DOI: 10.1016/j.brs.2021.07.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 04/28/2021] [Accepted: 07/01/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Head and brain anatomy have been related to e-field strength induced by transcranial electrical stimulation (tES). Individualization based on anatomic factors require high-quality structural magnetic resonance images, which are not always available. Head circumference (HC) can serve as an alternative means, but its linkage to electric field strength has not yet been established. METHODS We simulated electric fields induced by tES based on individual T1w- and T2w-images of 47 healthy adults, for four conventional ("standard") and four corresponding focal ("4x1") electrode montages. Associations of electric field strength with individual HC were calculated using linear mixed models. RESULTS Larger HC was associated with lower electric field strength across montages. We provide mathematical equations to estimate individual electric field strength based on the HC. CONCLUSION HC can be used as an alternative to estimate interindividual differences of the tES-induced electric field strength and to prospectively individualize stimulation dose, e.g., in the clinical context.
Collapse
Affiliation(s)
- Daria Antonenko
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany.
| | - Ulrike Grittner
- Berlin Institute of Health, Berlin, Germany; Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin, Berlin, Germany.
| | - Oula Puonti
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark; Section for Magnetic Resonance, Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.
| | - Agnes Flöel
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany; German Centre for Neurodegenerative Diseases (DZNE) Standort Greifswald, Greifswald, Germany.
| | - Axel Thielscher
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark; Section for Magnetic Resonance, Department of Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark.
| |
Collapse
|
25
|
Bhalerao GV, Sreeraj VS, Bose A, Narayanaswamy JC, Venkatasubramanian G. Comparison of electric field modeling pipelines for transcranial direct current stimulation. Neurophysiol Clin 2021; 51:303-318. [PMID: 34023189 DOI: 10.1016/j.neucli.2021.05.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 05/03/2021] [Accepted: 05/03/2021] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVES Electric field modeling utilizes structural brain magnetic resonance images (MRI) to model the electric field induced by non-invasive transcranial direct current stimulation (tDCS) in a given individual. Electric field modeling is being integrated with clinical outcomes to improve understanding of inter-individual variability in tDCS effects and to optimize tDCS parameters, thereby enhancing the predictability of clinical effects. The successful integration of modeling in clinical use will primarily be driven by choice of tools and procedures implemented in computational modeling. Thus, the electric field predictions from different modeling pipelines need to be investigated to ensure the validity and reproducibility of tDCS modeling results across clinical or translational studies. METHODS We used T1w structural MRI from 32 healthy volunteer subjects and modeled the electric field distribution for a fronto-temporal tDCS montage. For five different computational modeling pipelines, we quantitatively compared brain tissue segmentation and electric field predicted in whole-brain, brain tissues and target brain regions between the modeling pipelines. RESULTS Our comparisons at various levels did not reveal any systematic trend with regards to similarity or dissimilarity of electric field predicted in brain tissues and target brain regions. The inconsistent trends in the predicted electric field indicate variation in the procedures, routines and algorithms used within and across the modeling pipelines. CONCLUSION Our results suggest that studies integrating electric field modeling and clinical outcomes of tDCS will highly depend upon the choice of the modeling pipelines and procedures. We propose that using these pipelines for further research and clinical applications should be subject to careful consideration, and indicate general recommendations.
Collapse
Affiliation(s)
- Gaurav V Bhalerao
- Department of Psychiatry, National Institute of Mental Health and Neuroscience (NIMHANS), Bengaluru 560029, India.
| | - Vanteemar S Sreeraj
- Department of Psychiatry, National Institute of Mental Health and Neuroscience (NIMHANS), Bengaluru 560029, India
| | - Anushree Bose
- Department of Psychiatry, National Institute of Mental Health and Neuroscience (NIMHANS), Bengaluru 560029, India
| | - Janardhanan C Narayanaswamy
- Department of Psychiatry, National Institute of Mental Health and Neuroscience (NIMHANS), Bengaluru 560029, India
| | - Ganesan Venkatasubramanian
- Department of Psychiatry, National Institute of Mental Health and Neuroscience (NIMHANS), Bengaluru 560029, India
| |
Collapse
|
26
|
Padberg F, Bulubas L, Mizutani-Tiebel Y, Burkhardt G, Kranz GS, Koutsouleris N, Kambeitz J, Hasan A, Takahashi S, Keeser D, Goerigk S, Brunoni AR. The intervention, the patient and the illness - Personalizing non-invasive brain stimulation in psychiatry. Exp Neurol 2021; 341:113713. [PMID: 33798562 DOI: 10.1016/j.expneurol.2021.113713] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 03/09/2021] [Accepted: 03/28/2021] [Indexed: 02/08/2023]
Abstract
Current hypotheses on the therapeutic action of non-invasive brain stimulation (NIBS) in psychiatric disorders build on the abundant data from neuroimaging studies. This makes NIBS a very promising tool for developing personalized interventions within a precision medicine framework. NIBS methods fundamentally vary in their neurophysiological properties. They comprise repetitive transcranial magnetic stimulation (rTMS) and its variants (e.g. theta burst stimulation - TBS) as well as different types of transcranial electrical stimulation (tES), with the largest body of evidence for transcranial direct current stimulation (tDCS). In the last two decades, significant conceptual progress has been made in terms of NIBS targets, i.e. from single brain regions to neural circuits and to functional connectivity as well as their states, recently leading to brain state modulating closed-loop approaches. Regarding structural and functional brain anatomy, NIBS meets an individually unique constellation, which varies across normal and pathophysiological states. Thus, individual constitutions and signatures of disorders may be indistinguishable at a given time point, but can theoretically be parsed along course- and treatment-related trajectories. We address precision interventions on three levels: 1) the NIBS intervention, 2) the constitutional factors of a single patient, and 3) the phenotypes and pathophysiology of illness. With examples from research on depressive disorders, we propose solutions and discuss future perspectives, e.g. individual MRI-based electrical field strength as a proxy for NIBS dosage, and also symptoms, their clusters, or biotypes instead of disorder focused NIBS. In conclusion, we propose interleaved research on these three levels along a general track of reverse and forward translation including both clinically directed research in preclinical model systems, and biomarker guided controlled clinical trials. Besides driving the development of safe and efficacious interventions, this framework could also deepen our understanding of psychiatric disorders at their neurophysiological underpinnings.
Collapse
Affiliation(s)
- Frank Padberg
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany; Center for Non-invasive Brain Stimulation Munich-Augsburg (CNBS(MA)), Germany
| | - Lucia Bulubas
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany; Center for Non-invasive Brain Stimulation Munich-Augsburg (CNBS(MA)), Germany; International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Yuki Mizutani-Tiebel
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany; Center for Non-invasive Brain Stimulation Munich-Augsburg (CNBS(MA)), Germany
| | - Gerrit Burkhardt
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany; Center for Non-invasive Brain Stimulation Munich-Augsburg (CNBS(MA)), Germany
| | - Georg S Kranz
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, SAR, China; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany; Max-Planck Institute of Psychiatry, Munich, Germany
| | - Joseph Kambeitz
- Department of Psychiatry, University of Cologne, Faculty of Medicine and University Hospital Cologne, 50937, Germany
| | - Alkomiet Hasan
- Center for Non-invasive Brain Stimulation Munich-Augsburg (CNBS(MA)), Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, University of Augsburg, BKH Augsburg, Dr.-Mack-Str. 1, 86156 Augsburg, Germany; Department of Clinical Radiology, LMU Hospital, Munich, Germany
| | - Shun Takahashi
- Department of Neuropsychiatry, Wakayama Medical University, 811-1 Kimiidera, 6410012 Wakayama, Japan
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany; Center for Non-invasive Brain Stimulation Munich-Augsburg (CNBS(MA)), Germany
| | - Stephan Goerigk
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany; Center for Non-invasive Brain Stimulation Munich-Augsburg (CNBS(MA)), Germany; Department of Psychological Methodology and Assessment, Ludwig-Maximilians-University, Leopoldstraße 13, 80802 Munich, Germany; Hochschule Fresenius, University of Applied Sciences, Infanteriestraße 11A, 80797 Munich, Germany
| | - Andre R Brunoni
- Laboratory of Neurosciences (LIM-27), Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil; Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo & Hospital Universitário, Universidade de São Paulo, Av. Prof Lineu Prestes 2565, 05508-000 São Paulo, Brazil
| |
Collapse
|
27
|
Goerigk S, Cretaz E, Sampaio-Junior B, Vieira ÉLM, Gattaz W, Klein I, Lafer B, Teixeira AL, Carvalho AF, Lotufo PA, Benseñor IM, Bühner M, Padberg F, Brunoni AR. Effects of tDCS on neuroplasticity and inflammatory biomarkers in bipolar depression: Results from a sham-controlled study. Prog Neuropsychopharmacol Biol Psychiatry 2021; 105:110119. [PMID: 33022345 DOI: 10.1016/j.pnpbp.2020.110119] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 09/15/2020] [Accepted: 09/25/2020] [Indexed: 12/11/2022]
Abstract
OBJECTIVES We investigated the role of peripheral biomarkers associated with neuroplasticity and immune-inflammatory processes on the effects of transcranial direct current stimulation (tDCS), a safe, affordable, and portable non-invasive neuromodulatory treatment, in bipolar depression. METHODS This is an exploratory analysis using a dataset from the sham-controlled study the Bipolar Depression Electrical Treatment Trial (BETTER)(clinicaltrials.govNCT02152878). Participants were 52 adults with type I or II bipolar disorder in a moderate-to-severe depressive episode, randomized to 12 bifrontal active or sham tDCS sessions over a 6-week treatment course. Plasma levels of brain derived neurotrophic factor (BDNF), glial cell derived neurotrophic factor (GDNF), interleukins (IL) 2, 4, 6, 8, 10, 18, 33, 1β, 12p70, 17a, interferon gamma (IFN), tumor necrosis factor alpha (TNF) and its soluble receptors 1 and 2, ST2, and KLOTHO were investigated at baseline and endpoint. We performed analyses unadjusted for multiple testing to evaluate whether baseline biomarkers were predictive for depression improvement and changed during treatment using linear regression models. RESULTS A time x group interaction (Cohen's d: -1.16, 95% CI = -1.96 to -0.3, p = .005) was found for IL-8, with greater reductions after active tDCS. Higher baseline IL-6 plasma levels was associated with symptomatic improvement after tDCS (F(1,43) = 5.43; p = .025). Other associations were not significant. CONCLUSIONS Our exploratory findings suggested that IL-6 is a potential predictor of tDCS response and IL-8 might decrease after tDCS; although confirmatory studies are warranted due to the multiplicity of comparisons.
Collapse
Affiliation(s)
- Stephan Goerigk
- Department of Psychological Methodology and Assessment, Ludwig-Maximilians-University, Munich, Germany; Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität, Nußbaumstraße 7, 80336 Munich, Germany; Hochschule Fresenius, University of Applied Sciences, Munich, Germany
| | - Eric Cretaz
- ECT Service, Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil; Bipolar Disorder Research Program, Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | | | - Érica Leandro Marciano Vieira
- Interdisciplinary Laboratory of Medical Investigation, Faculdade de Medicina, Universidade Federal de Minas Gerais, Minas Gerais, Brazil; Centre for Addiction and Mental Healthy (CAMH), Toronto, ON, Canada
| | - Wagner Gattaz
- Laboratory of Neurosciences (LIM-27), Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Izio Klein
- Laboratory of Neurosciences (LIM-27), Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Beny Lafer
- Bipolar Disorder Research Program, Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Antônio Lúcio Teixeira
- Interdisciplinary Laboratory of Medical Investigation, Faculdade de Medicina, Universidade Federal de Minas Gerais, Minas Gerais, Brazil; Neuropsychiatry Program, Department of Psychiatry and Behavioral Science, UT Health, Houston, United States of America
| | - André F Carvalho
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Centre for Addiction and Mental Healthy (CAMH), Toronto, ON, Canada
| | - Paulo A Lotufo
- Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo & Hospital Universitário, Universidade de São Paulo, Av. Prof Lineu Prestes 2565, 05508-000 São Paulo, Brazil
| | - Isabela M Benseñor
- Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo & Hospital Universitário, Universidade de São Paulo, Av. Prof Lineu Prestes 2565, 05508-000 São Paulo, Brazil
| | - Markus Bühner
- Department of Psychological Methodology and Assessment, Ludwig-Maximilians-University, Munich, Germany
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität, Nußbaumstraße 7, 80336 Munich, Germany
| | - André R Brunoni
- Laboratory of Neurosciences (LIM-27), Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil; Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo & Hospital Universitário, Universidade de São Paulo, Av. Prof Lineu Prestes 2565, 05508-000 São Paulo, Brazil.
| |
Collapse
|
28
|
Albizu A, Fang R, Indahlastari A, O'Shea A, Stolte SE, See KB, Boutzoukas EM, Kraft JN, Nissim NR, Woods AJ. Machine learning and individual variability in electric field characteristics predict tDCS treatment response. Brain Stimul 2020; 13:1753-1764. [PMID: 33049412 PMCID: PMC7731513 DOI: 10.1016/j.brs.2020.10.001] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 09/30/2020] [Accepted: 10/02/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Transcranial direct current stimulation (tDCS) is widely investigated as a therapeutic tool to enhance cognitive function in older adults with and without neurodegenerative disease. Prior research demonstrates that electric current delivery to the brain can vary significantly across individuals. Quantification of this variability could enable person-specific optimization of tDCS outcomes. This pilot study used machine learning and MRI-derived electric field models to predict working memory improvements as a proof of concept for precision cognitive intervention. METHODS Fourteen healthy older adults received 20 minutes of 2 mA tDCS stimulation (F3/F4) during a two-week cognitive training intervention. Participants performed an N-back working memory task pre-/post-intervention. MRI-derived current models were passed through a linear Support Vector Machine (SVM) learning algorithm to characterize crucial tDCS current components (intensity and direction) that induced working memory improvements in tDCS responders versus non-responders. MAIN RESULTS SVM models of tDCS current components had 86% overall accuracy in classifying treatment responders vs. non-responders, with current intensity producing the best overall model differentiating changes in working memory performance. Median current intensity and direction in brain regions near the electrodes were positively related to intervention responses (r=0.811,p<0.001 and r=0.774,p=0.001). CONCLUSIONS This study provides the first evidence that pattern recognition analyses of MRI-derived tDCS current models can provide individual prognostic classification of tDCS treatment response with 86% accuracy. Individual differences in current intensity and direction play important roles in determining treatment response to tDCS. These findings provide important insights into mechanisms of tDCS response as well as proof of concept for future precision dosing models of tDCS intervention.
Collapse
Affiliation(s)
- Alejandro Albizu
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, USA; Department of Neuroscience, College of Medicine, University of Florida, Gainesville, USA
| | - Ruogu Fang
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, USA; J. Crayton Pruitt Family Department of Biomedical Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, USA
| | - Aprinda Indahlastari
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, USA
| | - Andrew O'Shea
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, USA
| | - Skylar E Stolte
- J. Crayton Pruitt Family Department of Biomedical Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, USA
| | - Kyle B See
- J. Crayton Pruitt Family Department of Biomedical Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, USA
| | - Emanuel M Boutzoukas
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, USA
| | - Jessica N Kraft
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, USA; Department of Neuroscience, College of Medicine, University of Florida, Gainesville, USA
| | - Nicole R Nissim
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, USA; Department of Neuroscience, College of Medicine, University of Florida, Gainesville, USA
| | - Adam J Woods
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, USA; Department of Neuroscience, College of Medicine, University of Florida, Gainesville, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, USA.
| |
Collapse
|
29
|
Borrione L, Suen PJC, Razza LB, Santos LAD, Sudbrack-Oliveira P, Brunoni AR. The Flow brain stimulation headset for the treatment of depression: overview of its safety, efficacy and portable design. Expert Rev Med Devices 2020; 17:867-878. [DOI: 10.1080/17434440.2020.1813565] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Lucas Borrione
- Service of Interdisciplinary Neuromodulation, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
- Laboratory of Neuroscience and National Institute of Biomarkers in Psychiatry, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Paulo J C Suen
- Laboratory of Neuroscience and National Institute of Biomarkers in Psychiatry, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Lais B Razza
- Service of Interdisciplinary Neuromodulation, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
- Laboratory of Neuroscience and National Institute of Biomarkers in Psychiatry, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Leonardo Afonso Dos Santos
- Service of Interdisciplinary Neuromodulation, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
- Laboratory of Neuroscience and National Institute of Biomarkers in Psychiatry, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Pedro Sudbrack-Oliveira
- Service of Interdisciplinary Neuromodulation, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
- Laboratory of Neuroscience and National Institute of Biomarkers in Psychiatry, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - André R Brunoni
- Service of Interdisciplinary Neuromodulation, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
- Laboratory of Neuroscience and National Institute of Biomarkers in Psychiatry, Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
- Department of Internal Medicine, University of São Paulo Medical School & University Hospital, University of São Paulo, São Paulo, Brazil
| |
Collapse
|