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Jamil Z, Saisanen L, Demjan M, Reijonen J, Julkunen P. The Effect of Stimulation Intensity, Sampling Frequency, and Sample Synchronization in TMS-EEG on the TMS Pulse Artifact Amplitude and Duration. IEEE Trans Neural Syst Rehabil Eng 2024; 32:2612-2620. [PMID: 39024076 DOI: 10.1109/tnsre.2024.3429176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Transcranial magnetic stimulation (TMS) coupled with electroencephalography (EEG) possesses diagnostic and therapeutic benefits. However, TMS provokes a large pulse artifact that momentarily obscures the cortical response, presenting a significant challenge for EEG data interpretation. We examined how stimulation intensity (SI), EEG sampling frequency (Fs) and synchronization of stimulation with EEG sampling influence the amplitude and duration of the pulse artifact. In eight healthy subjects, single-pulse TMS was administered to the primary motor cortex, due to its well-documented responsiveness to TMS. We applied two different SIs (90% and 120% of resting motor threshold, representing the commonly used subthreshold and suprathreshold levels) and Fs (conventional 5 kHz and high frequency 20 kHz) both with TMS synchronized with the EEG sampling and the conventional non-synchronized setting. Aside from removal of the DC-offset and epoching, no preprocessing was performed to the data. Using a random forest regression model, we identified that Fs had the largest impact on both the amplitude and duration of the pulse artifact, with median variable importance values of 1.444 and 1.327, respectively, followed by SI (0.964 and 1.083) and sampling synchronization (0.223 and 0.248). This indicated that Fs and SI are crucial for minimizing prediction error and thus play a pivotal role in accurately characterizing the pulse artifact. The results of this study enable focusing some of the study design parameters to minimize TMS pulse artifact, which is essential for both enhancing the reliability of clinical TMS-EEG applications and improving the overall integrity and interpretability of TMS-EEG data.
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Yang M, Li Z, Pan F, Wu S, Jia X, Wang R, Ji L, Li W, Li C. Alpha tACS on Parieto-Occipital Cortex Mitigates Motion Sickness Based on Multiple Physiological Observation. IEEE Trans Neural Syst Rehabil Eng 2024; 32:2398-2407. [PMID: 38949929 DOI: 10.1109/tnsre.2024.3419753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/03/2024]
Abstract
Approximately one third of the population is prone to motion sickness (MS), which is associated with the dysfunction in the integration of sensory inputs. Transcranial alternating current stimulation (tACS) has been widely used to modulate neurological functions by affecting neural oscillation. However, it has not been applied in the treatment of motion sickness. This study aims to investigate changes in brain oscillations during exposure to MS stimuli and to further explore the potential impact of tACS with the corresponding frequency and site on MS symptoms. A total of 19 subjects were recruited to be exposed to Coriolis stimuli to complete an inducing session. After that, they were randomly assigned to tACS stimulation group or sham stimulation group to complete a stimulation session. Electroencephalography (EEG), electrocardiogram, and galvanic skin response were recorded during the experiment. All the subjects suffering from obvious MS symptoms after inducing session were observed that alpha power of four channels of parieto-occipital lobe significantly decreased (P7: t =3.589, p <0.001; P8: t =2.667, p <0.05; O1: t =3.556, p <0.001; O2: t =2.667, p <0.05). Based on this, tACS group received the tACS stimulation at 10Hz from Oz to CPz. Compared to sham group, tACS stimulation significantly improved behavioral performance and entrained the alpha oscillation in individuals whose alpha power decrease during the inducing session. The findings show that parieto-occipital alpha oscillation plays a critical role in the integration of sensory inputs, and alpha tACS on parieto-occipital can become a potential method to mitigate MS symptoms.
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Boxum M, Voetterl H, van Dijk H, Gordon E, DeBeus R, Arnold LE, Arns M. Challenging the Diagnostic Value of Theta/Beta Ratio: Insights From an EEG Subtyping Meta-Analytical Approach in ADHD. Appl Psychophysiol Biofeedback 2024:10.1007/s10484-024-09649-y. [PMID: 38858282 DOI: 10.1007/s10484-024-09649-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2024]
Abstract
The frequently reported high theta/beta ratio (TBR) in the electroencephalograms (EEGs) of children with attention-deficit/hyperactivity disorder (ADHD) has been suggested to include at least two distinct neurophysiological subgroups, a subgroup with high TBR and one with slow alpha peak frequency, overlapping the theta range. We combined three large ADHD cohorts recorded under standardized procedures and used a meta-analytical approach to leverage the large sample size (N = 417; age range: 6-18 years), classify these EEG subtypes and investigate their behavioral correlates to clarify their brain-behavior relationships. To control for the fact that slow alpha might contribute to theta power, three distinct EEG subgroups (non-slow-alpha TBR (NSAT) subgroup, slow alpha peak frequency (SAF) subgroup, not applicable (NA) subgroup) were determined, based on a halfway cut-off in age- and sex-normalized theta and alpha, informed by previous literature. For the meta-analysis, Cohen's d was calculated to assess the differences between EEG subgroups for baseline effects, using means and standard deviations of baseline inattention and hyperactivity-impulsivity scores. Non-significant, small Grand Mean effect sizes (-0.212 < d < 0.218) were obtained when comparing baseline behavioral scores between the EEG subgroups. This study could not confirm any association of EEG subtype with behavioral traits. This confirms previous findings suggesting that TBR has no diagnostic value for ADHD. TBR could, however, serve as an aid to stratify patients between neurofeedback protocols based on baseline TBR. A free online tool was made available for clinicians to calculate age- and sex-corrected TBR decile scores (Brainmarker-IV) for stratification of neurofeedback protocols.
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Affiliation(s)
- Marit Boxum
- Radboud University, Nijmegen, The Netherlands
- Research Institute Brainclinics, Brainclinics Foundation, Bijleveldsingel 32, 6524 AD, Nijmegen, The Netherlands
| | - Helena Voetterl
- Research Institute Brainclinics, Brainclinics Foundation, Bijleveldsingel 32, 6524 AD, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Hanneke van Dijk
- Research Institute Brainclinics, Brainclinics Foundation, Bijleveldsingel 32, 6524 AD, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
- Synaeda Psycho Medisch Centrum, Leeuwarden, The Netherlands
| | | | - Roger DeBeus
- The University of North Carolina at Asheville, Asheville, NC, USA
| | - L Eugene Arnold
- Department of Psychiatry &, Behavioral Health, Nisonger Center, Ohio State University, Columbus, OH, USA
| | - Martijn Arns
- Research Institute Brainclinics, Brainclinics Foundation, Bijleveldsingel 32, 6524 AD, Nijmegen, The Netherlands.
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.
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Venskus A. Perceptual Training as Means to Assess the Effect of Alpha Frequency on Temporal Binding Window. J Cogn Neurosci 2024; 36:706-711. [PMID: 36877055 DOI: 10.1162/jocn_a_01982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
For decades, it has been shown that alpha frequency is related to temporal binding window, and currently, such is the mainstream viewpoint [Noguchi, Y. Individual differences in beta frequency correlate with the audio-visual fusion illusion. Psychophysiology, 59, e14041, 2022; Gray, M. J., & Emmanouil, T. A. Individual alpha frequency increases during a task but is unchanged by alpha-band flicker. Psychophysiology, 57, e13480, 2020; Hirst, R. J., McGovern, D. P., Setti, A., Shams, L., & Newell, F. N. What you see is what you hear: Twenty years of research using the sound-induced flash illusion. Neuroscience & Biobehavioral Reviews, 118, 759-774, 2020; Keil, J. Double flash illusions: Current findings and future directions. Frontiers in Neuroscience, 14, 298, 2020; Migliorati, D., Zappasodi, F., Perrucci, M. G., Donno, B., Northoff, G., Romei, V., & Costantini, M. Individual alpha frequency predicts perceived visuotactile simultaneity. Journal of Cognitive Neuroscience, 32, 1-11, 2020; Keil, J., & Senkowski, D. Individual alpha frequency relates to the sound-induced flash illusion. Multisensory Research, 30, 565-578, 2017; Minami, S., & Amano, K. Illusory jitter perceived at the frequency of alpha oscillations. Current Biology, 27, 2344-2351, 2017; Cecere, R., Rees, G., & Romei, V. Individual differences in alpha frequency drive crossmodal illusory perception. Current Biology, 25, 231-235, 2015]. However, recently, this stance has been challenged [Buergers, S., & Noppeney, U. The role of alpha oscillations in temporal binding within and across the senses. Nature Human Behaviour, 6, 732-742, 2022]. Moreover, both stances appear to have their limitations regarding the reliability of results. Therefore, it is of paramount importance to develop new methodology to gain more reliable results. Perceptual training seems to be such a method that also offers significant practical implications.
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Tuppurainen H, Määttä S, Könönen M, Julkunen P, Kautiainen H, Hyvärinen S, Vaurio O, Joensuu M, Vanhanen M, Aho-Mustonen K, Mervaala E, Tiihonen J. Navigated and individual α-peak-frequency-guided transcranial magnetic stimulation in male patients with treatment-refractory schizophrenia. J Psychiatry Neurosci 2024; 49:E87-E95. [PMID: 38428970 PMCID: PMC10914400 DOI: 10.1503/jpn.230063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/25/2023] [Accepted: 12/07/2023] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND Previous electroencephalography (EEG) studies have indicated altered brain oscillatory α-band activity in schizophrenia, and treatment with repetitive transcranial magnetic stimulation (rTMS) using individualized α-frequency has shown therapeutic effects. Magnetic resonance imaging-based neuronavigation methods allow stimulation of a specific cortical region and improve targeting of rTMS; therefore, we sought to study the efficacy of navigated, individual α-peak-frequency-guided rTMS (αTMS) on treatment-refractory schizophrenia. METHODS We recruited medication-refractory male patients with schizophrenia or schizoaffective disorder in this doubleblind, sham-controlled study. We randomized patients to a 3-week course of either active αTMS or sham stimulation applied to the left dorsolateral prefrontal cortex (DLPFC). We assessed participants with the Positive and Negative Syndrome Scale (PANSS) and the Clinical Global Impression Scale (CGI) at baseline and after treatment. We conducted a follow-up assessment with the PANSS 3 months after intervention. RESULTS We included 44 patients. After treatment, we observed a significantly higher PANSS total score (p = 0.029), PANSS general psychopathology score (p = 0.027) and PANSS 5-factor model cognitive-disorganized factor score (p = 0.011) in the αTMS group than the sham group. In addition, the CGI-Improvement score was significantly higher among those who received αTMS compared with sham stimulation (p = 0.048). LIMITATIONS The limited number of study participants included only male patients. Depression was not formally evaluated. CONCLUSION Navigated αTMS to the left DLPFC reduced total, general psychopathological, and cognitive-disorganized symptoms of schizophrenia. These results provide evidence for the therapeutic efficacy of individual α-peak-frequency-guided rTMS in treatment-refractory schizophrenia. CLINICAL TRIAL REGISTRATION NCT01941251; ClinicalTrials.gov.
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Affiliation(s)
- Heli Tuppurainen
- From the Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland (Tuppurainen, Hyvärinen, Vaurio, Joensuu, Vanhanen, Aho-Mustonen, Tiihonen); the Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland (Määttä, Könönen, Julkunen, Mervaala); the Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland (Könönen); the Department of Technical Physics, University of Eastern Finland, Kuopio, Finland (Julkunen); the Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland (Kautiainen); the Folkhälsan Research Center, Helsinki, Finland (Kautiainen); Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland (Mervaala); the Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden (Tiihonen)
| | - Sara Määttä
- From the Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland (Tuppurainen, Hyvärinen, Vaurio, Joensuu, Vanhanen, Aho-Mustonen, Tiihonen); the Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland (Määttä, Könönen, Julkunen, Mervaala); the Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland (Könönen); the Department of Technical Physics, University of Eastern Finland, Kuopio, Finland (Julkunen); the Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland (Kautiainen); the Folkhälsan Research Center, Helsinki, Finland (Kautiainen); Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland (Mervaala); the Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden (Tiihonen)
| | - Mervi Könönen
- From the Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland (Tuppurainen, Hyvärinen, Vaurio, Joensuu, Vanhanen, Aho-Mustonen, Tiihonen); the Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland (Määttä, Könönen, Julkunen, Mervaala); the Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland (Könönen); the Department of Technical Physics, University of Eastern Finland, Kuopio, Finland (Julkunen); the Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland (Kautiainen); the Folkhälsan Research Center, Helsinki, Finland (Kautiainen); Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland (Mervaala); the Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden (Tiihonen)
| | - Petro Julkunen
- From the Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland (Tuppurainen, Hyvärinen, Vaurio, Joensuu, Vanhanen, Aho-Mustonen, Tiihonen); the Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland (Määttä, Könönen, Julkunen, Mervaala); the Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland (Könönen); the Department of Technical Physics, University of Eastern Finland, Kuopio, Finland (Julkunen); the Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland (Kautiainen); the Folkhälsan Research Center, Helsinki, Finland (Kautiainen); Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland (Mervaala); the Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden (Tiihonen)
| | - Hannu Kautiainen
- From the Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland (Tuppurainen, Hyvärinen, Vaurio, Joensuu, Vanhanen, Aho-Mustonen, Tiihonen); the Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland (Määttä, Könönen, Julkunen, Mervaala); the Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland (Könönen); the Department of Technical Physics, University of Eastern Finland, Kuopio, Finland (Julkunen); the Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland (Kautiainen); the Folkhälsan Research Center, Helsinki, Finland (Kautiainen); Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland (Mervaala); the Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden (Tiihonen)
| | - Soile Hyvärinen
- From the Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland (Tuppurainen, Hyvärinen, Vaurio, Joensuu, Vanhanen, Aho-Mustonen, Tiihonen); the Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland (Määttä, Könönen, Julkunen, Mervaala); the Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland (Könönen); the Department of Technical Physics, University of Eastern Finland, Kuopio, Finland (Julkunen); the Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland (Kautiainen); the Folkhälsan Research Center, Helsinki, Finland (Kautiainen); Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland (Mervaala); the Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden (Tiihonen)
| | - Olli Vaurio
- From the Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland (Tuppurainen, Hyvärinen, Vaurio, Joensuu, Vanhanen, Aho-Mustonen, Tiihonen); the Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland (Määttä, Könönen, Julkunen, Mervaala); the Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland (Könönen); the Department of Technical Physics, University of Eastern Finland, Kuopio, Finland (Julkunen); the Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland (Kautiainen); the Folkhälsan Research Center, Helsinki, Finland (Kautiainen); Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland (Mervaala); the Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden (Tiihonen)
| | - Mikko Joensuu
- From the Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland (Tuppurainen, Hyvärinen, Vaurio, Joensuu, Vanhanen, Aho-Mustonen, Tiihonen); the Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland (Määttä, Könönen, Julkunen, Mervaala); the Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland (Könönen); the Department of Technical Physics, University of Eastern Finland, Kuopio, Finland (Julkunen); the Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland (Kautiainen); the Folkhälsan Research Center, Helsinki, Finland (Kautiainen); Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland (Mervaala); the Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden (Tiihonen)
| | - Matti Vanhanen
- From the Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland (Tuppurainen, Hyvärinen, Vaurio, Joensuu, Vanhanen, Aho-Mustonen, Tiihonen); the Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland (Määttä, Könönen, Julkunen, Mervaala); the Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland (Könönen); the Department of Technical Physics, University of Eastern Finland, Kuopio, Finland (Julkunen); the Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland (Kautiainen); the Folkhälsan Research Center, Helsinki, Finland (Kautiainen); Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland (Mervaala); the Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden (Tiihonen)
| | - Kati Aho-Mustonen
- From the Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland (Tuppurainen, Hyvärinen, Vaurio, Joensuu, Vanhanen, Aho-Mustonen, Tiihonen); the Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland (Määttä, Könönen, Julkunen, Mervaala); the Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland (Könönen); the Department of Technical Physics, University of Eastern Finland, Kuopio, Finland (Julkunen); the Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland (Kautiainen); the Folkhälsan Research Center, Helsinki, Finland (Kautiainen); Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland (Mervaala); the Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden (Tiihonen)
| | - Esa Mervaala
- From the Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland (Tuppurainen, Hyvärinen, Vaurio, Joensuu, Vanhanen, Aho-Mustonen, Tiihonen); the Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland (Määttä, Könönen, Julkunen, Mervaala); the Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland (Könönen); the Department of Technical Physics, University of Eastern Finland, Kuopio, Finland (Julkunen); the Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland (Kautiainen); the Folkhälsan Research Center, Helsinki, Finland (Kautiainen); Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland (Mervaala); the Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden (Tiihonen)
| | - Jari Tiihonen
- From the Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland (Tuppurainen, Hyvärinen, Vaurio, Joensuu, Vanhanen, Aho-Mustonen, Tiihonen); the Department of Clinical Neurophysiology, Kuopio University Hospital, Kuopio, Finland (Määttä, Könönen, Julkunen, Mervaala); the Department of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland (Könönen); the Department of Technical Physics, University of Eastern Finland, Kuopio, Finland (Julkunen); the Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland (Kautiainen); the Folkhälsan Research Center, Helsinki, Finland (Kautiainen); Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland (Mervaala); the Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden (Tiihonen)
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Hu Q, Jiao X, Zhou J, Tang Y, Zhang T, Song C, Wang J, Xiao Q, Ye J, Sun J, Wang X, Li C, Wang J. Low-frequency repetitive transcranial magnetic stimulation over the right orbitofrontal cortex for patients with first-episode schizophrenia: A randomized, double-blind, sham-controlled trial. Psychiatry Res 2023; 330:115600. [PMID: 37992513 DOI: 10.1016/j.psychres.2023.115600] [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: 04/01/2023] [Revised: 11/06/2023] [Accepted: 11/09/2023] [Indexed: 11/24/2023]
Abstract
Repetitive transcranial magnetic stimulation (rTMS) has been used in the treatment of patients with schizophrenia. The conventional targets of rTMS treatment are the dorsolateral prefrontal cortex (DLPFC) and temporoparietal cortex (TPC). However, the efficacy of these two treatment strategies was quite heterogeneous. Structural and functional abnormalities of the orbitofrontal cortex (OFC) in schizophrenia are closely related to negative symptoms. We sought to determine whether 1 Hz rTMS over the right OFC is effective in treating patients with first-episode schizophrenia. In this study, eighty-nine patients with drug-naïve, first-episode schizophrenia were randomly divided into the rTMS (n = 47) or sham stimulation (n = 42) groups, with both groups receiving twenty sessions of 1 Hz rTMS treatment. The PANSS was assessed at baseline, day 10, and day 20, and MATRICS Consensus Cognitive Battery (MCCB) was implemented to assess the cognitive impairment at baseline and day 20. Results showed that patients in the active rTMS group had more improvement in clinical symptoms and cognitive deficits than patients in sham group at day 20. In conclusion, 1 Hz rTMS over OFC can improve psychotic symptoms and cognitive functions in schizophrenic patients. Our study provides a new alternative for the treatment of negative symptoms and cognitive deficits in schizophrenia.
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Affiliation(s)
- Qiang Hu
- Department of Psychiatry, Zhenjiang Mental Health Center, Jiangsu 212000, China
| | - Xiong Jiao
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Jie Zhou
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Chuanfu Song
- Department of Psychiatry, The Fourth People's Hospital of Wuhu, Anhui 231200, China
| | - Junjie Wang
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou 215131, China
| | - Qiang Xiao
- The First Psychiatric Hospital of Harbin, Harbin 150000, China
| | - Junying Ye
- The First Psychiatric Hospital of Harbin, Harbin 150000, China
| | - Junfeng Sun
- Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Xijin Wang
- The First Psychiatric Hospital of Harbin, Harbin 150000, China.
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai 200031, China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China; Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai 200031, China; Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
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Makale MT, Nybo C, Keifer J, Blum K, Dennen CA, Baron D, Sunder K, Elman I, Makale MR, Thanos PK, Murphy KT. Preliminary Observations of Personalized Repetitive Magnetic Stimulation (PrTMS) Guided by EEG Spectra for Concussion. Brain Sci 2023; 13:1179. [PMID: 37626535 PMCID: PMC10452199 DOI: 10.3390/brainsci13081179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 08/02/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
There are no FDA-approved treatments for the chronic sequelae of concussion. Repetitive magnetic transcranial stimulation (rTMS) has been explored as a therapy but outcomes have been inconsistent. To address this we developed a personalized rTMS (PrTMS) protocol involving continual rTMS stimulus frequency adjustment and progressive activation of multiple cortical sites, guided by spectral electroencephalogram (EEG)-based analyses and psychological questionnaires. We acquired pilot clinical data for 185 symptomatic brain concussion patients who underwent the PrTMS protocol over an approximate 6 week period. The PrTMS protocol used a proprietary EEG spectral frequency algorithm to define an initial stimulation frequency based on an anteriorly graded projection of the measured occipital alpha center peak, which was then used to interpolate and adjust regional stimulation frequency according to weekly EEG spectral acquisitions. PrTMS improved concussion indices and normalized the cortical alpha band center frequency and peak EEG amplitude. This potentially reflected changed neurotransmitter, cognitive, and perceptual status. PrTMS may be a promising treatment choice for patients with persistent concussion symptoms. This clinical observational study was limited in that there was no control group and a number of variables were not recorded, such as time since injury and levels of depression. While the present observations are indeed preliminary and cursory, they may suggest further prospective research on PrTMS in concussion, and exploration of the spectral EEG as a concussion biomarker, with the ultimate goals of confirmation and determining optimal PrTMS treatment parameters.
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Affiliation(s)
- Milan T. Makale
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Chad Nybo
- CrossTx Inc., Bozeman, MT 59715, USA
| | | | - Kenneth Blum
- Department of Clinical Psychology and Addiction, Institute of Psychology, Faculty of Education and Psychology, Eötvös Loránd University, 1075 Budapest, Hungary
- Department of Psychiatry, Wright University, Boonshoft School of Medicine, Dayton, OH 45324, USA
- Department of Molecular Biology and Adelson School of Medicine, Ariel University, Ariel 40700, Israel
- Division of Addiction Research & Education, Center for Sports, Exercise & Global Mental Health, Western University Health Sciences, Pomona, CA 91766, USA
| | - Catherine A. Dennen
- Department of Family Medicine, Jefferson Health NE, Philadelphia, PA 19107, USA
| | - David Baron
- Division of Addiction Research & Education, Center for Sports, Exercise & Global Mental Health, Western University Health Sciences, Pomona, CA 91766, USA
| | - Keerthy Sunder
- School of Medicine, University of California Riverside, Riverside, CA 92521, USA
| | - Igor Elman
- Cambridge Health Alliance, Harvard Medical School, Cambridge, MA 02143, USA
| | - Miles R. Makale
- Department of Psychology, University of California San Diego, La Jolla, CA 92093, USA
| | - Panayotis K. Thanos
- Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions, Clinical Research Institute on Addictions, Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biosciences, State University of New York at Buffalo, Buffalo, NY 14203, USA
- Department of Psychology, State University of New York at Buffalo, Buffalo, NY 14203, USA
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8
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Jannati A, Oberman LM, Rotenberg A, Pascual-Leone A. Assessing the mechanisms of brain plasticity by transcranial magnetic stimulation. Neuropsychopharmacology 2023; 48:191-208. [PMID: 36198876 PMCID: PMC9700722 DOI: 10.1038/s41386-022-01453-8] [Citation(s) in RCA: 54] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/01/2022] [Accepted: 09/02/2022] [Indexed: 11/10/2022]
Abstract
Transcranial magnetic stimulation (TMS) is a non-invasive technique for focal brain stimulation based on electromagnetic induction where a fluctuating magnetic field induces a small intracranial electric current in the brain. For more than 35 years, TMS has shown promise in the diagnosis and treatment of neurological and psychiatric disorders in adults. In this review, we provide a brief introduction to the TMS technique with a focus on repetitive TMS (rTMS) protocols, particularly theta-burst stimulation (TBS), and relevant rTMS-derived metrics of brain plasticity. We then discuss the TMS-EEG technique, the use of neuronavigation in TMS, the neural substrate of TBS measures of plasticity, the inter- and intraindividual variability of those measures, effects of age and genetic factors on TBS aftereffects, and then summarize alterations of TMS-TBS measures of plasticity in major neurological and psychiatric disorders including autism spectrum disorder, schizophrenia, depression, traumatic brain injury, Alzheimer's disease, and diabetes. Finally, we discuss the translational studies of TMS-TBS measures of plasticity and their therapeutic implications.
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Affiliation(s)
- Ali Jannati
- Neuromodulation Program, Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
- F. M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
- Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| | - Lindsay M Oberman
- Center for Neuroscience and Regenerative Medicine, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Alexander Rotenberg
- Neuromodulation Program, Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- F. M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Alvaro Pascual-Leone
- Department of Neurology, Harvard Medical School, Boston, MA, USA.
- Hinda and Arthur Marcus Institute for Aging Research and Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston, MA, USA.
- Guttmann Brain Health Institute, Institut Guttmann, Barcelona, Spain.
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9
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Du XD, Li Z, Yuan N, Yin M, Zhao XL, Lv XL, Zou SY, Zhang J, Zhang GY, Li CW, Pan H, Yang L, Wu SQ, Yue Y, Wu YX, Zhang XY. Delayed improvements in visual memory task performance among chronic schizophrenia patients after high-frequency repetitive transcranial magnetic stimulation. World J Psychiatry 2022; 12:1169-1182. [PMID: 36186505 PMCID: PMC9521529 DOI: 10.5498/wjp.v12.i9.1169] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/24/2022] [Accepted: 07/22/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Cognitive impairments are core characteristics of schizophrenia, but are largely resistant to current treatments. Several recent studies have shown that high-frequency repetitive transcranial magnetic stimulation (rTMS) of the left dor-solateral prefrontal cortex (DLPFC) can reduce negative symptoms and improve certain cognitive deficits in schizophrenia patients. However, results are inconsistent across studies. AIM To examine if high-frequency rTMS of the DLPFC can improve visual memory deficits in patients with schizophrenia. METHODS Forty-seven chronic schizophrenia patients with severe negative symptoms on stable treatment regimens were randomly assigned to receive active rTMS to the DLPFC (n = 25) or sham stimulation (n = 22) on weekdays for four consecutive weeks. Patients performed the pattern recognition memory (PRM) task from the Cambridge Neuropsychological Test Automated Battery at baseline, at the end of rTMS treatment (week 4), and 4 wk after rTMS treatment (week 8). Clinical symptoms were also measured at these same time points using the Scale for the Assessment of Negative Symptoms (SANS) and the Positive and Negative Syndrome Scale (PANSS). RESULTS There were no significant differences in PRM performance metrics, SANS total score, SANS subscores, PANSS total score, and PANSS subscores between active and sham rTMS groups at the end of the 4-wk treatment period, but PRM performance metrics (percent correct and number correct) and changes in these metrics from baseline were significantly greater in the active rTMS group at week 8 compared to the sham group (all P < 0.05). Active rTMS treatment also significantly reduced SANS score at week 8 compared to sham treatment. Moreover, the improvement in visual memory was correlated with the reduction in negative symptoms at week 8. In contrast, there were no between-group differences in PANSS total score and subscale scores at either week 4 or week 8 (all P > 0.05). CONCLUSION High-frequency transcranial magnetic stimulation improves visual memory and reduces negative symptoms in schizophrenia, but these effects are delayed, potentially due to the requirement for extensive neuroplastic changes within DLPFC networks.
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Affiliation(s)
- Xiang-Dong Du
- Suzhou Guangji Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou 215008, Jiangsu Province, China
| | - Zhe Li
- Suzhou Guangji Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou 215008, Jiangsu Province, China
| | - Nian Yuan
- Suzhou Guangji Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou 215008, Jiangsu Province, China
| | - Ming Yin
- Suzhou Guangji Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou 215008, Jiangsu Province, China
| | - Xue-Li Zhao
- Suzhou Guangji Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou 215008, Jiangsu Province, China
| | - Xiao-Li Lv
- Suzhou Guangji Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou 215008, Jiangsu Province, China
| | - Si-Yun Zou
- Suzhou Guangji Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou 215008, Jiangsu Province, China
| | - Jun Zhang
- Suzhou Guangji Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou 215008, Jiangsu Province, China
| | - Guang-Ya Zhang
- Suzhou Guangji Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou 215008, Jiangsu Province, China
| | - Chuan-Wei Li
- Suzhou Guangji Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou 215008, Jiangsu Province, China
| | - Hui Pan
- Department of Psychiatry, Third People’s Hospital of Changshu, Changshu 215501, Jiangsu Province, China
| | - Li Yang
- Department of Psychiatry, Third People’s Hospital of Changshu, Changshu 215501, Jiangsu Province, China
| | - Si-Qi Wu
- School of Psychology and Mental Health, North China University of Science and Technology, Langfang 065201, Hebei Province, China
| | - Yan Yue
- Department of Psychiatry, Medical College of Soochow University, Suzhou 215000, Jiangsu Province, China
| | - Yu-Xuan Wu
- Department of Psychiatry, Medical College of Soochow University, Suzhou 215000, Jiangsu Province, China
| | - Xiang-Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
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10
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Pross B, Strube W, Papazova I, Güler D, Häckert J, Keeser D, Padberg F, Siamouli M, Falkai P, Hasan A. Anodal transcranial direct current stimulation sustainably increases EEG alpha activity in patients with schizophrenia. Neuropsychopharmacol Rep 2022; 42:323-332. [PMID: 35716122 PMCID: PMC9515721 DOI: 10.1002/npr2.12274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 05/11/2022] [Accepted: 05/14/2022] [Indexed: 11/20/2022] Open
Abstract
AIMS Transcranial direct current stimulation (tDCS) applied to the prefrontal cortex has been frequently used to elicit behavioral changes in patients with schizophrenia. However, the interaction between prefrontal tDCS and electrophysiological changes remains largely uncharted. The present study aimed to investigate cortical electrophysiological changes induced by tDCS in frontal areas by means of repeated electroencephalography (EEG) in patients with schizophrenia. METHODS In total, 20 patients with schizophrenia received 13 minutes of anodal tDCS (1 mA) applied to the left dorsolateral prefrontal cortex (DLPFC). Repeated resting EEG was recorded before (once) and following (at five follow-up time-bins) tDCS to trace post-tDCS effects. We used sLORETA for source reconstruction to preserve the localization of brain signals with a low variance and to analyze frequency changes. RESULTS We observed significant changes after the stimulation in areas highly connected with the stimulated DLPFC areas. The alpha 1 (8.5-10.0 Hz) activity showed a highly significant, long-lasting, increase for up to 1 hour after the stimulation in the postcentral gyrus (Brodmann area 2, 3, and 40). Significant yet unstable changes were also seen in the alpha-2 frequency band precentral at 10 minutes, in the beta-1 frequency band occipital at 20 minutes, and in the beta-3 frequency band temporal at 40 minutes. CONCLUSION We were able to show that anodal tDCS can induce stable EEG changes in patients with schizophrenia. The results underline the potential of tDCS to induce long-lasting neurophysiological changes in patients with schizophrenia showing the possibility to induce brain excitability changes in this population.
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Affiliation(s)
- Benjamin Pross
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical FacultyUniversity of Augsburg, BKH AugsburgAugsburgGermany
- Department of Psychiatry and PsychotherapyLMU University HospitalMunichGermany
| | - Wolfgang Strube
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical FacultyUniversity of Augsburg, BKH AugsburgAugsburgGermany
| | - Irina Papazova
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical FacultyUniversity of Augsburg, BKH AugsburgAugsburgGermany
| | - Duygu Güler
- Department of Psychiatry and PsychotherapyLMU University HospitalMunichGermany
| | - Jan Häckert
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical FacultyUniversity of Augsburg, BKH AugsburgAugsburgGermany
| | - Daniel Keeser
- Department of Psychiatry and PsychotherapyLMU University HospitalMunichGermany
| | - Frank Padberg
- Department of Psychiatry and PsychotherapyLMU University HospitalMunichGermany
| | - Melina Siamouli
- 3rd Department of Psychiatry, School of MedicineAristotle University of ThessalonikiThessalonikiGreece
| | - Peter Falkai
- Department of Psychiatry and PsychotherapyLMU University HospitalMunichGermany
| | - Alkomiet Hasan
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical FacultyUniversity of Augsburg, BKH AugsburgAugsburgGermany
- Department of Psychiatry and PsychotherapyLMU University HospitalMunichGermany
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11
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Esposito S, Trojsi F, Cirillo G, de Stefano M, Di Nardo F, Siciliano M, Caiazzo G, Ippolito D, Ricciardi D, Buonanno D, Atripaldi D, Pepe R, D’Alvano G, Mangione A, Bonavita S, Santangelo G, Iavarone A, Cirillo M, Esposito F, Sorbi S, Tedeschi G. Repetitive Transcranial Magnetic Stimulation (rTMS) of Dorsolateral Prefrontal Cortex May Influence Semantic Fluency and Functional Connectivity in Fronto-Parietal Network in Mild Cognitive Impairment (MCI). Biomedicines 2022; 10:biomedicines10050994. [PMID: 35625731 PMCID: PMC9138229 DOI: 10.3390/biomedicines10050994] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 04/17/2022] [Accepted: 04/20/2022] [Indexed: 12/28/2022] Open
Abstract
Repetitive transcranial magnetic stimulation (rTMS) is a noninvasive neuromodulation technique that is increasingly used as a nonpharmacological intervention against cognitive impairment in Alzheimer’s disease (AD) and other dementias. Although rTMS has been shown to modify cognitive performances and brain functional connectivity (FC) in many neurological and psychiatric diseases, there is still no evidence about the possible relationship between executive performances and resting-state brain FC following rTMS in patients with mild cognitive impairment (MCI). In this preliminary study, we aimed to evaluate the possible effects of rTMS of the bilateral dorsolateral prefrontal cortex (DLPFC) in 27 MCI patients randomly assigned to two groups: one group received high-frequency (10 Hz) rTMS (HF-rTMS) for four weeks (n = 11), and the other received sham stimulation (n = 16). Cognitive and psycho-behavior scores, based on the Repeatable Battery for the Assessment of Neuropsychological Status, Beck Depression Inventory-II, Beck Anxiety Inventory, Apathy Evaluation Scale, and brain FC, evaluated by independent component analysis of resting state functional MRI (RS-fMRI) networks, together with the assessment of regional atrophy measures, evaluated by whole-brain voxel-based morphometry (VBM), were measured at baseline, after five weeks, and six months after rTMS stimulation. Our results showed significantly increased semantic fluency (p = 0.026) and visuo-spatial (p = 0.014) performances and increased FC within the salience network (p ≤ 0.05, cluster-level corrected) at the short-term timepoint, and increased FC within the left fronto-parietal network (p ≤ 0.05, cluster-level corrected) at the long-term timepoint, in the treated group but not in the sham group. Conversely, regional atrophy measures did not show significant longitudinal changes between the two groups across six months. Our preliminary findings suggest that targeting DLPFC by rTMS application may lead to a significant long-term increase in FC in MCI patients in a RS network associated with executive functions, and this process might counteract the progressive cortical dysfunction affecting this domain.
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Affiliation(s)
- Sabrina Esposito
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
| | - Francesca Trojsi
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
- Correspondence: ; Tel.: +39-08-1566-5659
| | - Giovanni Cirillo
- Division of Human Anatomy, Laboratory of Morphology of Neuronal Networks & Systems Biology, Department of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy;
| | - Manuela de Stefano
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
| | - Federica Di Nardo
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Mattia Siciliano
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Giuseppina Caiazzo
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Domenico Ippolito
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
| | - Dario Ricciardi
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
| | - Daniela Buonanno
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
| | - Danilo Atripaldi
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Roberta Pepe
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Giulia D’Alvano
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
| | - Antonella Mangione
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Simona Bonavita
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Gabriella Santangelo
- Department of Psychology, University of Campania Luigi Vanvitelli, 81100 Caserta, Italy;
| | - Alessandro Iavarone
- Neurological Unit, CTO Hospital, AORN Ospedali Dei Colli, 80131 Naples, Italy;
| | - Mario Cirillo
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Fabrizio Esposito
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Sandro Sorbi
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy;
- Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, 50134 Florence, Italy
| | - Gioacchino Tedeschi
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
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12
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Lorentzen R, Nguyen TD, McGirr A, Hieronymus F, Østergaard SD. The efficacy of transcranial magnetic stimulation (TMS) for negative symptoms in schizophrenia: a systematic review and meta-analysis. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:35. [PMID: 35853882 PMCID: PMC9261093 DOI: 10.1038/s41537-022-00248-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 03/21/2022] [Indexed: 04/20/2023]
Abstract
Several trials have shown preliminary evidence for the efficacy of transcranial magnetic stimulation (TMS) as a treatment for negative symptoms in schizophrenia. Here, we synthesize this literature in a systematic review and quantitative meta-analysis of double-blind randomized controlled trials of TMS in patients with schizophrenia. Specifically, MEDLINE, EMBASE, Web of Science, and PsycINFO were searched for sham-controlled, randomized trials of TMS among patients with schizophrenia. The effect of TMS vs. sham on negative symptoms in each study was quantified by the standardized mean difference (SMD, Cohen's d) with 95% confidence intervals (95%CI) and pooled across studies using an inverse variance random effects model. We identified 57 studies with a total of 2633 participants that were included in the meta-analysis. The pooled analysis showed statistically significant superiority of TMS (SMD = 0.41, 95%CI: 0.26; 0.56, p-value < 0.001), corresponding to a number needed to treat of 5. Furthermore, stratified analyses suggested that TMS targeting the left dorsolateral prefrontal cortex and using a stimulation frequency >1 Hz was most efficacious. There was, however, substantial heterogeneity and high risk of bias among the included studies. In conclusion, TMS appears to be an efficacious treatment option for patients with schizophrenia suffering from negative symptoms, but the optimal TMS parameters are yet to be established.
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Affiliation(s)
- Rasmus Lorentzen
- Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Tuan D Nguyen
- Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Alexander McGirr
- Hotchkiss Brain Institute, University of Calgary, Calgary, Canada
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Canada
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Canada
| | - Fredrik Hieronymus
- Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Pharmacology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Søren D Østergaard
- Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark.
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
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13
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Ning Y, Zheng S, Feng S, Zhang B, Jia H. Potential Locations for Non-Invasive Brain Stimulation in Treating Schizophrenia: A Resting-State Functional Connectivity Analysis. Front Neurol 2022; 12:766736. [PMID: 34975725 PMCID: PMC8715096 DOI: 10.3389/fneur.2021.766736] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 11/09/2021] [Indexed: 11/25/2022] Open
Abstract
Introduction: Non-invasive brain stimulation (NIBS) techniques have been widely used for the purpose of improving clinical symptoms of schizophrenia. However, the ambiguous stimulation targets may limit the efficacy of NIBS for schizophrenia. Exploring effective stimulation targets may improve the clinical efficacy of NIBS in schizophrenia. Methods: We first conducted a neurosynth-based meta-analysis of 715 functional magnetic resonance imaging studies to identify schizophrenia-related brain regions as regions of interest. Then, we performed the resting-state functional connectivity analysis in 32 patients with first-episode schizophrenia to find brain surface regions correlated with the regions of interest in three pipelines. Finally, the 10–20 system coordinates corresponding to the brain surface regions were considered as potential targets for NIBS. Results: We identified several potential targets of NIBS, including the bilateral dorsal lateral prefrontal cortex, supplementary motor area, bilateral inferior parietal lobule, temporal pole, medial prefrontal cortex, precuneus, superior and middle temporal gyrus, and superior and middle occipital gyrus. Notably, the 10-20 system location of the bilateral dorsal lateral prefrontal cortex was posterior to F3 (F4), not F3 (F4). Conclusion: Conclusively, our findings suggested that the stimulation locations corresponding to these potential targets might help clinicians optimize the application of NIBS therapy in individuals with schizophrenia.
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Affiliation(s)
- Yanzhe Ning
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Sisi Zheng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Sitong Feng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Binlong Zhang
- Department of Acupuncture and Moxibustion, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Hongxiao Jia
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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14
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Wendt K, Denison T, Foster G, Krinke L, Thomson A, Wilson S, Widge AS. Physiologically informed neuromodulation. J Neurol Sci 2021; 434:120121. [PMID: 34998239 PMCID: PMC8976285 DOI: 10.1016/j.jns.2021.120121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 12/19/2021] [Accepted: 12/21/2021] [Indexed: 01/09/2023]
Abstract
The rapid evolution of neuromodulation techniques includes an increasing amount of research into stimulation paradigms that are guided by patients' neurophysiology, to increase efficacy and responder rates. Treatment personalisation and target engagement have shown to be effective in fields such as Parkinson's disease, and closed-loop paradigms have been successfully implemented in cardiac defibrillators. Promising avenues are being explored for physiologically informed neuromodulation in psychiatry. Matching the stimulation frequency to individual brain rhythms has shown some promise in transcranial magnetic stimulation (TMS). Matching the phase of those rhythms may further enhance neuroplasticity, for instance when combining TMS with electroencephalographic (EEG) recordings. Resting-state EEG and event-related potentials may be useful to demonstrate connectivity between stimulation sites and connected areas. These techniques are available today to the psychiatrist to diagnose underlying sleep disorders, epilepsy, or lesions as contributing factors to the cause of depression. These technologies may also be useful in assessing the patient's brain network status prior to deciding on treatment options. Ongoing research using invasive recordings may allow for future identification of mood biomarkers and network structure. A core limitation is that biomarker research may currently be limited by the internal heterogeneity of psychiatric disorders according to the current DSM-based classifications. New approaches are being developed and may soon be validated. Finally, care must be taken when incorporating closed-loop capabilities into neuromodulation systems, by ensuring the safe operation of the system and understanding the physiological dynamics. Neurophysiological tools are rapidly evolving and will likely define the next generation of neuromodulation therapies.
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Affiliation(s)
- Karen Wendt
- Department of Engineering Science and MRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK.
| | - Timothy Denison
- Department of Engineering Science and MRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK
| | - Gaynor Foster
- Welcony Inc., Plymouth, MN, United States of America
| | - Lothar Krinke
- Welcony Inc., Plymouth, MN, United States of America; Department of Neuroscience, School of Medicine, West Virginia University, Morgantown, WV, United States of America
| | - Alix Thomson
- Welcony Inc., Plymouth, MN, United States of America
| | - Saydra Wilson
- Department of Psychiatry and Behavioral Sciences, University of Minnesota-Twin Cities, Minneapolis, MN, United States of America
| | - Alik S Widge
- Department of Psychiatry and Behavioral Sciences, University of Minnesota-Twin Cities, Minneapolis, MN, United States of America; Medical Discovery Team on Additions, University of Minnesota, Minneapolis, MN, United States of America
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15
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Janssens SEW, Sack AT, Ten Oever S, de Graaf TA. Calibrating rhythmic stimulation parameters to individual EEG markers: the consistency of individual alpha frequency in practical lab settings. Eur J Neurosci 2021; 55:3418-3437. [PMID: 34363269 PMCID: PMC9541964 DOI: 10.1111/ejn.15418] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 06/18/2021] [Accepted: 08/02/2021] [Indexed: 11/27/2022]
Abstract
Rhythmic stimulation can be applied to modulate neuronal oscillations. Such 'entrainment' is optimized when stimulation frequency is individually-calibrated based on magneto/encephalography markers. It remains unknown how consistent such individual markers are across days/sessions, within a session, or across cognitive states, hemispheres, and estimation methods, especially in a realistic, practical, lab setting. We here estimated individual alpha frequency (IAF) repeatedly from short EEG measurements at rest or during an attention task (cognitive state), using single parieto-occipital electrodes in 24 participants on four days (between-sessions), with multiple measurements over an hour on one day (within-session). First, we introduce an algorithm to automatically reject power spectra without a sufficiently clear peak to ensure unbiased IAF estimations. Then we estimated IAF via the traditional 'maximum' method and a 'Gaussian fit' method. IAF was reliable within- and between-sessions for both cognitive states and hemispheres, though task-IAF estimates tended to be more variable. Overall, the 'Gaussian fit' method was more reliable than the 'maximum' method. Furthermore, we evaluated how far from an approximated 'true' task-related IAF the selected 'stimulation frequency' was, when calibrating this frequency based on a short rest-EEG, a short task-EEG, or simply selecting 10Hertz for all participants. For the 'maximum' method, rest-EEG calibration was best, followed by task-EEG, and then 10 Hertz. For the 'Gaussian fit' method, rest-EEG and task-EEG-based calibration were similarly accurate, and better than 10 Hertz. These results lead to concrete recommendations about valid, and automated, estimation of individual oscillation markers in experimental and clinical settings.
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Affiliation(s)
- Shanice E W Janssens
- Section Brain Stimulation and Cognition, Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Maastricht Brain Imaging Centre (MBIC), Maastricht, the Netherlands
| | - Alexander T Sack
- Section Brain Stimulation and Cognition, Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Maastricht Brain Imaging Centre (MBIC), Maastricht, the Netherlands.,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNs), Brain+Nerve Centre , Maastricht University Medical Centre+ (MUMC+), Maastricht, the Netherlands.,Center for Integrative Neuroscience (CIN), Maastricht University, Maastricht, the Netherlands
| | - Sanne Ten Oever
- Section Brain Stimulation and Cognition, Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Language and Computation in Neural Systems Group, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.,Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Tom A de Graaf
- Section Brain Stimulation and Cognition, Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Maastricht Brain Imaging Centre (MBIC), Maastricht, the Netherlands.,Center for Integrative Neuroscience (CIN), Maastricht University, Maastricht, the Netherlands
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16
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Trajkovic J, Di Gregorio F, Ferri F, Marzi C, Diciotti S, Romei V. Resting state alpha oscillatory activity is a valid and reliable marker of schizotypy. Sci Rep 2021; 11:10379. [PMID: 34001914 PMCID: PMC8129121 DOI: 10.1038/s41598-021-89690-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 04/30/2021] [Indexed: 12/20/2022] Open
Abstract
Schizophrenia is among the most debilitating neuropsychiatric disorders. However, clear neurophysiological markers that would identify at-risk individuals represent still an unknown. The aim of this study was to investigate possible alterations in the resting alpha oscillatory activity in normal population high on schizotypy trait, a physiological condition known to be severely altered in patients with schizophrenia. Direct comparison of resting-state EEG oscillatory activity between Low and High Schizotypy Group (LSG and HSG) has revealed a clear right hemisphere alteration in alpha activity of the HSG. Specifically, HSG shows a significant slowing down of right hemisphere posterior alpha frequency and an altered distribution of its amplitude, with a tendency towards a reduction in the right hemisphere in comparison to LSG. Furthermore, altered and reduced connectivity in the right fronto-parietal network within the alpha range was found in the HSG. Crucially, a trained pattern classifier based on these indices of alpha activity was able to successfully differentiate HSG from LSG on tested participants further confirming the specific importance of right hemispheric alpha activity and intrahemispheric functional connectivity. By combining alpha activity and connectivity measures with a machine learning predictive model optimized in a nested stratified cross-validation loop, current research offers a promising clinical tool able to identify individuals at-risk of developing psychosis (i.e., high schizotypy individuals).
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Affiliation(s)
- Jelena Trajkovic
- Centro Studi e Ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum - Università di Bologna, Campus di Cesena, 47521, Cesena, Italy
| | - Francesco Di Gregorio
- UO Medicina Riabilitativa e Neuroriabilitazione, Azienda Unità Sanitaria Locale, 40139, Bologna, Italy
| | - Francesca Ferri
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Institute for Advanced Biomedical Technologies, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Chiara Marzi
- Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Cesena, Italy
| | - Stefano Diciotti
- Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Cesena, Italy.,Alma Mater Research Institute for Human-Centered Artificial Intelligence, University of Bologna, Bologna, Italy
| | - Vincenzo Romei
- Centro Studi e Ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum - Università di Bologna, Campus di Cesena, 47521, Cesena, Italy. .,IRCCS Fondazione Santa Lucia, 00179, Rome, Italy.
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17
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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.
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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
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18
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Roelofs CL, Krepel N, Corlier J, Carpenter LL, Fitzgerald PB, Daskalakis ZJ, Tendolkar I, Wilson A, Downar J, Bailey NW, Blumberger DM, Vila-Rodriguez F, Leuchter AF, Arns M. Individual alpha frequency proximity associated with repetitive transcranial magnetic stimulation outcome: An independent replication study from the ICON-DB consortium. Clin Neurophysiol 2020; 132:643-649. [PMID: 33243617 DOI: 10.1016/j.clinph.2020.10.017] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 09/28/2020] [Accepted: 10/01/2020] [Indexed: 12/17/2022]
Abstract
OBJECTIVE The aim of the current study was to attempt to replicate the finding that the individual alpha frequency (IAF) as well as the absolute difference between IAF and 10 Hz stimulation frequency (IAF-prox) is related to treatment outcome. METHODS Correlations were performed to investigate the relationship between IAF-prox and percentage symptom improvement in a sample of 153 patients with major depressive disorder treated with 10 Hz (N = 59) to the left dorsolateral prefrontal cortex (DLPFC) or 1 Hz (N = 94) to the right DLPFC repetitive Transcranial Magnetic Stimulation (rTMS). RESULTS There was a significant negative correlation between IAF-prox and the percentage of symptom improvement only for the 10 Hz group. Curve fitting models revealed that there was a quadratic association between IAF and treatment response in the 10 Hz group, with a peak at 10 Hz IAF. CONCLUSION The main result of Corlier and colleagues was replicated, and the findings suggest that the distance between 10 Hz stimulation frequency and the IAF may influence clinical outcome in a non-linear manner. SIGNIFICANCE rTMS is often administered at a frequency of 10 Hz, which is the center of the EEG alpha frequency band. The results can make a significant contribution to optimizing the clinical application of rTMS.
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Affiliation(s)
- Charlotte L Roelofs
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands
| | - Noralie Krepel
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands; Dept. of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Juliana Corlier
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Dept. of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Linda L Carpenter
- Butler Hospital Mood Disorders Research Program and Neuromodulation Research Facility, Dept. of Psychiatry and Human Behavior Alpert Medical School of Brown University, Providence, RI, USA
| | - Paul B Fitzgerald
- Epworth Centre for Innovation in Mental Health, Epworth HealthCare and Monash University Department of Psychiatry, Camberwell, VIC, Australia
| | - Zafiris J Daskalakis
- Dept. of Psychiatry, University of Toronto, Toronto, ON, Canada; Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Indira Tendolkar
- Donders Institute for Brain, Cognition and Behavior, Dept. of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Andrew Wilson
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Dept. of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Jonathan Downar
- Dept. of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Neil W Bailey
- Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and Alfred Hospital, Melbourne, Australia, Epworth Centre for Innovation in Mental Health, Epworth HealthCare, VIC, Australia
| | - Daniel M Blumberger
- Dept. of Psychiatry, University of Toronto, Toronto, ON, Canada; Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Fidel Vila-Rodriguez
- Non-Invasive Neurostimulation Therapies Laboratory, Dept. Psychiatry, The University of British Columbia, Vancouver, BC, Canada
| | - Andrew F Leuchter
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Dept. of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Martijn Arns
- Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands; Dept. of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands; Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Location AMC, Amsterdam Neuroscience, Amsterdam, the Netherlands.
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19
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Carr P. The value of visioning: Augmenting EMDR with alpha-band alternating bilateral photic stimulation for trauma treatment in schizophrenia. Med Hypotheses 2020; 144:110184. [DOI: 10.1016/j.mehy.2020.110184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/27/2020] [Accepted: 08/13/2020] [Indexed: 11/28/2022]
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20
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Kar SK, Menon V. Repetitive Transcranial Magnetic Stimulation in Persistent Auditory Hallucination in Schizophrenia: Predictors of Response. Curr Behav Neurosci Rep 2020. [DOI: 10.1007/s40473-020-00218-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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21
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Xiu MH, Guan HY, Zhao JM, Wang KQ, Pan YF, Su XR, Wang YH, Guo JM, Jiang L, Liu HY, Sun SG, Wu HR, Geng HS, Liu XW, Yu HJ, Wei BC, Li XP, Trinh T, Tan SP, Zhang XY. Cognitive Enhancing Effect of High-Frequency Neuronavigated rTMS in Chronic Schizophrenia Patients With Predominant Negative Symptoms: A Double-Blind Controlled 32-Week Follow-up Study. Schizophr Bull 2020; 46:1219-1230. [PMID: 32185388 PMCID: PMC7505170 DOI: 10.1093/schbul/sbaa035] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Accumulating studies have shown that high-frequency (HF) repetitive transcranial magnetic stimulation (rTMS) may improve cognitive dysfunction of the patients with schizophrenia (SCZ), but with inconsistent results. The present study aims to assess the efficacy of different frequencies of neuronavigated rTMS in ameliorating cognitive impairments and alleviating the psychotic symptoms. A total of 120 patients were randomly assigned to 3 groups: 20 Hz rTMS (n = 40), 10 Hz rTMS (n = 40), or sham stimulation (n = 40) for 8 weeks, and then followed up at week 32. The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was performed to assess the cognitive functions of the patients at baseline, at the end of week 8, and week 32 follow-up. Psychotic symptoms were assessed with the Positive and Negative Syndrome Scale (PANSS) at baseline and at the end of week 2, week 4, week 6, week 8, and week 32 follow-up. Our results demonstrated that 20 Hz rTMS treatment produced an effective therapeutic benefit on immediate memory of patients with chronic SCZ at week 8, but not in the 10 Hz group. Interestingly, both 10 Hz and 20 Hz rTMS treatments produced delayed effects on cognitive functions at the 6-month follow-up. Moreover, in both 10 Hz rTMS and 20 Hz rTMS, the improvements in RBANS total score were positively correlated with the reduction of PANSS positive subscore at the 6-month follow-up. Stepwise regression analysis identified that the visuospatial/constructional index, immediate memory index, and prolactin at baseline were predictors for the improvement of cognitive impairments in the patients. Our results suggest that add-on HF rTMS could be an effective treatment for cognitive impairments in patients with chronic SCZ, with a delayed effect. Trial registration: clinicaltrials.gov identifier-NCT03774927.
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Affiliation(s)
- Mei Hong Xiu
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China
| | - Heng Yong Guan
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Jian Min Zhao
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Ke Qiang Wang
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Yan Fen Pan
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Xiu Ru Su
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Yu Hong Wang
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Jin Ming Guo
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Long Jiang
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Hong Yu Liu
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Shi Guang Sun
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Hao Ran Wu
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Han Song Geng
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Xiao Wen Liu
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Hui Jing Yu
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Bao Chun Wei
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Xi Po Li
- Department of Psychiatry, Hebei Province Rong-Jun hospital, Baoding, China
| | - Tammy Trinh
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX
| | - Shu Ping Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, China
| | - Xiang Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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22
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Leung A. Addressing chronic persistent headaches after MTBI as a neuropathic pain state. J Headache Pain 2020; 21:77. [PMID: 32560626 PMCID: PMC7304149 DOI: 10.1186/s10194-020-01133-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 05/25/2020] [Indexed: 12/15/2022] Open
Abstract
An increasing number of patients with chronic persistent post-traumatic headache (PPTH) after mild traumatic brain injury (MTBI) are being referred to headache or pain specialists as conventional treatment options for primary headache disorders have not been able to adequately alleviate their debilitating headache symptoms. Evolving clinical and mechanistic evidences support the notation that chronic persistent MTBI related headaches (MTBI-HA) carry the hallmark characteristics of neuropathic pain. Thus, in addition to conventional treatment options applicable to non-traumatic primary headache disorders, other available treatment modalities for neuropathic pain should be considered. In this comprehensive review article, the author reveals the prevalence of MTBI-HA and its clinical manifestation, discusses existing clinical and mechanistic evidence supporting the classification of chronic persistent MTBI-HA as a neuropathic pain state, and explores current available treatment options and future directions of therapeutic research related to MTBI-HA.
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Affiliation(s)
- Albert Leung
- Department of Anesthesiology, Center for Pain Medicine, UCSD School of Medicine, La Jolla, USA.
- Center for Pain and Headache Research, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA, 92126, USA.
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23
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Leung A, Shirvalkar P, Chen R, Kuluva J, Vaninetti M, Bermudes R, Poree L, Wassermann EM, Kopell B, Levy R. Transcranial Magnetic Stimulation for Pain, Headache, and Comorbid Depression: INS-NANS Expert Consensus Panel Review and Recommendation. Neuromodulation 2020; 23:267-290. [PMID: 32212288 DOI: 10.1111/ner.13094] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 10/27/2019] [Accepted: 11/25/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND While transcranial magnetic stimulation (TMS) has been studied for the treatment of psychiatric disorders, emerging evidence supports its use for pain and headache by stimulating either motor cortex (M1) or dorsolateral prefrontal cortex (DLPFC). However, its clinical implementation is hindered due to a lack of consensus in the quality of clinical evidence and treatment recommendation/guideline(s). Thus, working collaboratively, this multinational multidisciplinary expert panel aims to: 1) assess and rate the existing outcome evidence of TMS in various pain/headache conditions; 2) provide TMS treatment recommendation/guidelines for the evaluated conditions and comorbid depression; and 3) assess the cost-effectiveness and technical issues relevant to the long-term clinical implementation of TMS for pain and headache. METHODS Seven task groups were formed under the guidance of a 5-member steering committee with four task groups assessing the utilization of TMS in the treatment of Neuropathic Pain (NP), Acute Pain, Primary Headache Disorders, and Posttraumatic Brain Injury related Headaches (PTBI-HA), and remaining three assessing the treatment for both pain and comorbid depression, and the cost-effectiveness and technological issues relevant to the treatment. RESULTS The panel rated the overall level of evidence and recommendability for clinical implementation of TMS as: 1) high and extremely/strongly for both NP and PTBI-HA respectively; 2) moderate for postoperative pain and migraine prevention, and recommendable for migraine prevention. While the use of TMS for treating both pain and depression in one setting is clinically and financially sound, more studies are required to fully assess the long-term benefit of the treatment for the two highly comorbid conditions, especially with neuronavigation. CONCLUSIONS After extensive literature review, the panel provided recommendations and treatment guidelines for TMS in managing neuropathic pain and headaches. In addition, the panel also recommended more outcome and cost-effectiveness studies to assess the feasibility of the long-term clinical implementation of the treatment.
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Affiliation(s)
- Albert Leung
- Professor of Anesthesiology and Pain Medicine, Department of Anesthesiology, Center for Pain Medicine, University of California, San Diego, School of Medicine, La Jolla, CA, USA.,Director, Center for Pain and Headache Research, VA San Diego Healthcare System, La Jolla, CA, USA
| | - Prasad Shirvalkar
- Assistant Professor, Departments of Anesthesiology (Pain Management), Neurology, and Neurosurgery, UCSF School of Medicine, USA
| | - Robert Chen
- Catherine Manson Chair in Movement Disorders, Professor of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada
| | - Joshua Kuluva
- Neurologist and Psychiatrist, TMS Health Solution, San Francisco, CA, USA
| | - Michael Vaninetti
- Assistant Clinical Professor, Anesthesiology and Pain Medicine, UCSD School of Medicine, La Jolla, CA, USA
| | - Richard Bermudes
- Chief Medical Officer, TMS Health Solutions, Assistant Clinical Professor- Volunteer, Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Lawrence Poree
- Professor of Anesthesiology, Director, Neuromodulation Service, Division of Pain Medicine, University of California, San Francisco, School of Medicine, San Francisco, CA, USA
| | - Eric M Wassermann
- Director, Behavioral Neurology Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Brian Kopell
- Professor of Neurosurgery, Mount Sinai Center for Neuromodulation, New York, NY, USA
| | - Robert Levy
- President of International Neuromodulation Society, Editor-in-Chief, Neuromodulation, Boca Raton, FL, USA
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- See Appendix for Complete List of Task Group Members
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Nucifora FC, Woznica E, Lee BJ, Cascella N, Sawa A. Treatment resistant schizophrenia: Clinical, biological, and therapeutic perspectives. Neurobiol Dis 2019; 131:104257. [PMID: 30170114 PMCID: PMC6395548 DOI: 10.1016/j.nbd.2018.08.016] [Citation(s) in RCA: 142] [Impact Index Per Article: 28.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 08/07/2018] [Accepted: 08/26/2018] [Indexed: 12/16/2022] Open
Abstract
Treatment resistant schizophrenia (TRS) refers to the significant proportion of schizophrenia patients who continue to have symptoms and poor outcomes despite treatment. While many definitions of TRS include failure of two different antipsychotics as a minimum criterion, the wide variability in inclusion criteria has challenged the consistency and reproducibility of results from studies of TRS. We begin by reviewing the clinical, neuroimaging, and neurobiological characteristics of TRS. We further review the current treatment strategies available, addressing clozapine, the first-line pharmacological agent for TRS, as well as pharmacological and non-pharmacological augmentation of clozapine including medication combinations, electroconvulsive therapy, repetitive transcranial magnetic stimulation, deep brain stimulation, and psychotherapies. We conclude by highlighting the most recent consensus for defining TRS proposed by the Treatment Response and Resistance in Psychosis Working Group, and provide our overview of future perspectives and directions that could help advance the field of TRS research, including the concept of TRS as a potential subtype of schizophrenia.
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Affiliation(s)
- Frederick C Nucifora
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA.
| | - Edgar Woznica
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA
| | - Brian J Lee
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA
| | - Nicola Cascella
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA
| | - Akira Sawa
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Hospital, 600 N. Wolfe St., Baltimore, MD 21287, USA
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Cook IA, Wilson AC, Corlier J, Leuchter AF. Brain Activity and Clinical Outcomes in Adults With Depression Treated With Synchronized Transcranial Magnetic Stimulation: An Exploratory Study. Neuromodulation 2019; 22:894-897. [DOI: 10.1111/ner.12914] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 10/28/2018] [Accepted: 11/14/2018] [Indexed: 12/20/2022]
Affiliation(s)
- Ian A. Cook
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles Los Angeles CA USA
- Department of Psychiatry & Biobehavioral SciencesDavid Geffen School of Medicine, University of California Los Angeles Los Angeles CA USA
- Department of BioengineeringHenry Samueli School of Engineering & Applied Science, University of California Los Angeles Los Angeles CA USA
| | - Andrew C. Wilson
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles Los Angeles CA USA
- Department of Psychiatry & Biobehavioral SciencesDavid Geffen School of Medicine, University of California Los Angeles Los Angeles CA USA
| | - Juliana Corlier
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles Los Angeles CA USA
- Department of Psychiatry & Biobehavioral SciencesDavid Geffen School of Medicine, University of California Los Angeles Los Angeles CA USA
| | - Andrew F. Leuchter
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles Los Angeles CA USA
- Department of Psychiatry & Biobehavioral SciencesDavid Geffen School of Medicine, University of California Los Angeles Los Angeles CA USA
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Arns M, Vollebregt MA, Palmer D, Spooner C, Gordon E, Kohn M, Clarke S, Elliott GR, Buitelaar JK. Electroencephalographic biomarkers as predictors of methylphenidate response in attention-deficit/hyperactivity disorder. Eur Neuropsychopharmacol 2018; 28:881-891. [PMID: 29937325 DOI: 10.1016/j.euroneuro.2018.06.002] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 05/22/2018] [Accepted: 06/02/2018] [Indexed: 11/29/2022]
Abstract
UNLABELLED EEG biomarkers have shown promise in predicting non-response to stimulant medication in ADHD and could serve as translational biomarkers. This study aimed to replicate and extend previous EEG biomarkers. The international Study to Predict Optimized Treatment for ADHD (iSPOT-A), a multi-center, international, prospective open-label trial, enrolled 336 children and adolescents with ADHD (11.9 yrs; 245 males; prescribed methylphenidate) and 158 healthy children. Treatment response was established after six weeks using the clinician rated ADHD-Rating Scale-IV. Theta/Beta ratio (TBR) and alpha peak frequency (APF) were assessed at baseline as predictors for treatment outcome. No differences between ADHD and controls were found for TBR and APF. 62% of the ADHD group was classified as a responder. Responders did not differ from non-responders in age, medication dosage, and baseline severity of ADHD symptoms. Male-adolescent non-responders exhibited a low frontal APF (Fz: R = 9.2 Hz vs. NR = 8.1 Hz; ES = 0.83), whereas no effects were found for TBR. A low APF in male adolescents was associated with non-response to methylphenidate, replicating earlier work. Our data suggest that the typical maturational EEG changes observed in ADHD responders and controls are absent in non-responders to methylphenidate and these typical changes start emerging in adolescence. CLINICAL TRIALS REGISTRATION www.clinicaltrials.gov; NCT00863499 (https://clinicaltrials.gov/ct2/show/NCT00863499).
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Affiliation(s)
- Martijn Arns
- Research Institute Brainclinics, Bijleveldsingel 34, 6524 AD Nijmegen, The Netherlands; Department of Experimental Psychology, Utrecht University, Utrecht, The Netherlands.
| | - Madelon A Vollebregt
- Research Institute Brainclinics, Bijleveldsingel 34, 6524 AD Nijmegen, The Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Donna Palmer
- Brain Resource Ltd, Sydney, NSW, Australia; Brain Resource Ltd, San Francisco, CA, USA; Brain Dynamics Center, Sydney Medical School and Westmead Millenium Institute, University of Sydney, NSW, Australia
| | | | - Evian Gordon
- Brain Resource Ltd, Sydney, NSW, Australia; Brain Resource Ltd, San Francisco, CA, USA
| | - Michael Kohn
- Brain Dynamics Center, Sydney Medical School and Westmead Millenium Institute, University of Sydney, NSW, Australia; CRASH (Centre for Research into Adolescent'S Health) Westmead Hospital, Sydney Australia
| | - Simon Clarke
- Brain Dynamics Center, Sydney Medical School and Westmead Millenium Institute, University of Sydney, NSW, Australia; CRASH (Centre for Research into Adolescent'S Health) Westmead Hospital, Sydney Australia
| | - Glen R Elliott
- Children's Health Council, Palo Alto, CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford School of Medicine, CA, USA
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands; Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
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27
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Osoegawa C, Gomes JS, Grigolon RB, Brietzke E, Gadelha A, Lacerda ALT, Dias ÁM, Cordeiro Q, Laranjeira R, de Jesus D, Daskalakis ZJ, Brunelin J, Cordes J, Trevizol AP. Non-invasive brain stimulation for negative symptoms in schizophrenia: An updated systematic review and meta-analysis. Schizophr Res 2018; 197:34-44. [PMID: 29397282 DOI: 10.1016/j.schres.2018.01.010] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Revised: 01/17/2018] [Accepted: 01/17/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND Schizophrenia is a mental disorder with significant socioeconomic burden. Although current pharmacological treatments are effective for treating positive symptoms, medications have little-to-no effect in the treatment of negative symptoms. OBJECTIVE To assess the efficacy of non-invasive brain stimulation (NIBS) for negative symptoms in schizophrenia in randomized clinical trials (RCTs). METHODS A systematic review in Medline and Cochrane Library databases was performed up to May 31, 2017. The primary outcome was Hedges' g for continuous scores in a random-effects model. Heterogeneity was evaluated with the I2 and χ2 tests. Publication bias was assessed using Begg's funnel plot. RESULTS 31 RCTs (n = 1272) were included, most with small-to-modest sample sizes. Both repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) were superior to sham (Hedges' g = 0.19; 95% CI 0.07-0.32; and 0.5; 0.02-0.97, respectively). Only one study evaluated the use of transcutaneous auricular vagus nerve stimulation (taVNS). The funnel plot and Eggers test showed that the risk of publication bias was low. In relation to heterogeneity, we found an I2 of 0% (p = 0.749) and 51.3% (0.055) for rTMS and tDCS, respectively. CONCLUSION Both rTMS and tDCS were superior to sham stimulation for ameliorating negative symptoms in schizophrenia. We found no considerable heterogeneity or publication bias in our analysis, corroborating the strength of our findings. Not enough studies on other NIBS techniques, such as taVNS, were found for an isolated analysis. Further RCTs with larger sample sizes are needed to clarify the specific impact of NIBS on negative symptoms in schizophrenia.
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Affiliation(s)
| | - July Silveira Gomes
- Federal University of São Paulo, Brazil; Schizophrenia Program, Federal University of São Paulo (PROESQ), Brazil
| | | | - Elisa Brietzke
- Federal University of São Paulo, Brazil; Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Canada; University of Toronto, Canada
| | - Ary Gadelha
- Federal University of São Paulo, Brazil; Schizophrenia Program, Federal University of São Paulo (PROESQ), Brazil
| | - Acioly L T Lacerda
- Federal University of São Paulo, Brazil; Center for Research and Clinical Trials Sinapse-Bairral, Instituto Bairral de Psiquiatria, Brazil
| | | | | | | | | | | | - Jerome Brunelin
- Lyon Neuroscience Research Center, Lyon 1 University, Lyon, France
| | - Joachim Cordes
- Department of Psychiatry and Psychotherapy, Heinrich-Heine University of Düsseldorf, Germany
| | - Alisson Paulino Trevizol
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Canada; University of Toronto, Canada.
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Ros T, Frewen P, Théberge J, Michela A, Kluetsch R, Mueller A, Candrian G, Jetly R, Vuilleumier P, Lanius RA. Neurofeedback Tunes Scale-Free Dynamics in Spontaneous Brain Activity. Cereb Cortex 2018; 27:4911-4922. [PMID: 27620975 DOI: 10.1093/cercor/bhw285] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Accepted: 08/19/2016] [Indexed: 11/13/2022] Open
Abstract
Brain oscillations exhibit long-range temporal correlations (LRTCs), which reflect the regularity of their fluctuations: low values representing more random (decorrelated) while high values more persistent (correlated) dynamics. LRTCs constitute supporting evidence that the brain operates near criticality, a state where neuronal activities are balanced between order and randomness. Here, healthy adults used closed-loop brain training (neurofeedback, NFB) to reduce the amplitude of alpha oscillations, producing a significant increase in spontaneous LRTCs post-training. This effect was reproduced in patients with post-traumatic stress disorder, where abnormally random dynamics were reversed by NFB, correlating with significant improvements in hyperarousal. Notably, regions manifesting abnormally low LRTCs (i.e., excessive randomness) normalized toward healthy population levels, consistent with theoretical predictions about self-organized criticality. Hence, when exposed to appropriate training, spontaneous cortical activity reveals a residual capacity for "self-tuning" its own temporal complexity, despite manifesting the abnormal dynamics seen in individuals with psychiatric disorder. Lastly, we observed an inverse-U relationship between strength of LRTC and oscillation amplitude, suggesting a breakdown of long-range dependence at high/low synchronization extremes, in line with recent computational models. Together, our findings offer a broader mechanistic framework for motivating research and clinical applications of NFB, encompassing disorders with perturbed LRTCs.
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Affiliation(s)
- T Ros
- Geneva Neuroscience Center, Department of Neuroscience, University of Geneva, CH-1202 Geneva, Switzerland
| | - P Frewen
- Department of Psychiatry, Western University, London N6A 5A5, Ontario, Canada
| | - J Théberge
- Department of Medical Imaging, Lawson Health Research Institute, London N6C 2R5, Ontario, Canada
| | - A Michela
- Geneva Neuroscience Center, Department of Neuroscience, University of Geneva, CH-1202 Geneva, Switzerland
| | - R Kluetsch
- Department of Psychosomatic Medicine and Psychotherapy, Mannheim-Heidelberg University, 68159 Mannheim, Germany
| | - A Mueller
- Brain and Trauma Foundation, CH-7000 Chur, Switzerland
| | - G Candrian
- Brain and Trauma Foundation, CH-7000 Chur, Switzerland
| | - R Jetly
- Directorate of Mental Health, Canadian Forces Health Services, Ottawa K1A 0K6, Canada
| | - P Vuilleumier
- Geneva Neuroscience Center, Department of Neuroscience, University of Geneva, CH-1202 Geneva, Switzerland
| | - R A Lanius
- Department of Psychiatry, Western University, London N6A 5A5, Ontario, Canada
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Bolloni C, Badas P, Corona G, Diana M. Transcranial magnetic stimulation for the treatment of cocaine addiction: evidence to date. Subst Abuse Rehabil 2018; 9:11-21. [PMID: 29849473 PMCID: PMC5967377 DOI: 10.2147/sar.s161206] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
There is a common consensus in considering substance-use disorders (SUDs) a devastating chronic illness with social and psychological impact. Despite significant progress in understanding the neurobiology of SUDs, therapeutic advances have proceeded at a slower pace, in particular for cocaine-use disorder (CUD). Transcranial magnetic stimulation (TMS) is gaining support as a safe and cost-effective tool in the treatment of SUDs. In this review, we consider human studies that have investigated the efficacy of TMS in achieving therapeutic benefits in treating CUD. All studies conducted to date that have evaluated the therapeutic effect of TMS in CUD are included. We focus on the protocol of stimulation applied, emphasizing the neurophysiological effects of coils employed related to outcomes. Moreover, we examine the subjective and objective measurements used to assess the therapeutic effects along the timeline considered. The revision of scientific literatures underscores the therapeutic potential of TMS in treating CUD. However, the variability in stimulation protocols applied and the lack of methodological control do not allow us to draw firm conclusions, and further studies are warranted to examine the interaction between TMS patterns of stimulation relative to clinical outcomes in depth.
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Affiliation(s)
- Corinna Bolloni
- Laboratory of Cognitive Neuroscience, G Minardi Department of Chemistry and Pharmacy, University of Sassari, Sassari, Italy
| | - Paola Badas
- Laboratory of Cognitive Neuroscience, G Minardi Department of Chemistry and Pharmacy, University of Sassari, Sassari, Italy
| | - Giorgio Corona
- Laboratory of Cognitive Neuroscience, G Minardi Department of Chemistry and Pharmacy, University of Sassari, Sassari, Italy
| | - Marco Diana
- Laboratory of Cognitive Neuroscience, G Minardi Department of Chemistry and Pharmacy, University of Sassari, Sassari, Italy
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30
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Hansbauer M, Wobrock T, Kunze B, Langguth B, Landgrebe M, Eichhammer P, Frank E, Cordes J, Wölwer W, Winterer G, Gaebel W, Hajak G, Ohmann C, Verde PE, Rietschel M, Ahmed R, Honer WG, Malchow B, Strube W, Schneider-Axmann T, Falkai P, Hasan A. Efficacy of high-frequency repetitive transcranial magnetic stimulation on PANSS factors in schizophrenia with predominant negative symptoms - Results from an exploratory re-analysis. Psychiatry Res 2018; 263:22-29. [PMID: 29482042 DOI: 10.1016/j.psychres.2018.02.030] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Revised: 02/13/2018] [Accepted: 02/14/2018] [Indexed: 10/18/2022]
Abstract
Repetitive transcranial magnetic stimulation (rTMS) applied to the left frontal lobe is discussed to be a promising add-on treatment for negative symptoms in schizophrenia. The Positive and Negative Syndrome Scale (PANSS) has been used as outcome parameter in several previous rTMS trials, but studies focusing on PANSS factor analyses are lacking. For this purpose, we used the available PANSS data of the 'rTMS for the Treatment of Negative Symptoms in Schizophrenia' (RESIS) trial to calculate different literature-based PANSS factors and to re-evaluate the impact of rTMS on negative symptoms in this trial. In an exploratory re-analysis of published data from the RESIS study (Wobrock et al. 2015), we tested the impact of rTMS applied to the left dorsolateral prefrontal cortex on two PANSS factors for negative symptoms in psychotic disorders as well as on a PANSS five-factor consensus model intending to show that active rTMS treatment improves PANSS negative symptom subscores. In accordance to the original analysis, all PANSS factors showed an improvement over time in the active and, to a considerable extent, also in the sham rTMS group. However, comparing the data before and directly after the rTMS intervention, the PANSS excitement factor improved in the active rTMS group significantly more than in the sham group, but this finding did not persist if follow-up data were taken into account. These additional analyses extend the previously reported RESIS trial results showing unspecific improvements in the PANSS positive subscale in the active rTMS group. Our PANSS factor-based approach to investigate the impact of prefrontal rTMS on different negative symptom domains confirmed no overall beneficial effect of the active compared to sham rTMS.
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Affiliation(s)
- Maximilian Hansbauer
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München, Ludwig-Maximilians-University, München, Germany.
| | - Thomas Wobrock
- Department of Psychiatry and Psychotherapy, Georg-August-University Goettingen, Germany; County Hospitals Darmstadt-Dieburg, Groß-Umstadt, Germany
| | - Birgit Kunze
- Department of Psychiatry and Psychotherapy, Georg-August-University Goettingen, Germany
| | - Berthold Langguth
- Department of Psychiatry and Psychotherapy, University of Regensburg, Germany
| | - Michael Landgrebe
- Department of Psychiatry and Psychotherapy, University of Regensburg, Germany; Department of Psychiatry, Psychosomatics and Psychotherapy, kbo-Lech-Mangfall-Klinik Agatharied, Germany
| | - Peter Eichhammer
- Department of Psychiatry and Psychotherapy, University of Regensburg, Germany
| | - Elmar Frank
- Department of Psychiatry and Psychotherapy, University of Regensburg, Germany
| | - Joachim Cordes
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Wolfgang Wölwer
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Georg Winterer
- Experimental & Clinical Research Center (ECRC), Charite - University Medicine Berlin, Germany
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Göran Hajak
- Department of Psychiatry, Psychosomatics and Psychotherapy, Sozialstiftung Bamberg, Bamberg, Germany
| | | | - Pablo E Verde
- Coordination Centre for Clinical Trials, Heinrich-Heine University, Düsseldorf, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Institute of Central Mental Health, Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Raees Ahmed
- Referat Klinische Studien Management, Universitätsmedizin Göttingen, Germany
| | - William G Honer
- Institute of Mental Health, The University of British Columbia, Vancouver, BC, Canada
| | - Berend Malchow
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München, Ludwig-Maximilians-University, München, Germany
| | - Wolfgang Strube
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München, Ludwig-Maximilians-University, München, Germany
| | - Thomas Schneider-Axmann
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München, Ludwig-Maximilians-University, München, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München, Ludwig-Maximilians-University, München, Germany
| | - Alkomiet Hasan
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München, Ludwig-Maximilians-University, München, Germany
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Chung SW, Lewis BP, Rogasch NC, Saeki T, Thomson RH, Hoy KE, Bailey NW, Fitzgerald PB. Demonstration of short-term plasticity in the dorsolateral prefrontal cortex with theta burst stimulation: A TMS-EEG study. Clin Neurophysiol 2017; 128:1117-1126. [DOI: 10.1016/j.clinph.2017.04.005] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 03/28/2017] [Accepted: 04/04/2017] [Indexed: 12/13/2022]
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An Exploratory Study of Intensive Neurofeedback Training for Schizophrenia. Behav Neurol 2017; 2017:6914216. [PMID: 28701821 PMCID: PMC5497641 DOI: 10.1155/2017/6914216] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2017] [Revised: 04/23/2017] [Accepted: 05/28/2017] [Indexed: 12/01/2022] Open
Abstract
Schizophrenia is a chronic and devastating brain disorder with ongoing cognitive, behavioral, and emotional deteriorated functions. Neurofeedback training, which enables the individuals to regulate their brain activity using a real-time feedback loop, is increasingly investigated as a potential alternative intervention for schizophrenia. This study aimed to explore the effect of short but intensive neurofeedback training for schizophrenic patients with difficulty for long-time training. A middle-aged woman with chronic schizophrenia completed the intensive training of alpha/beta2 (20–30 Hz) in four consecutive days with a total training duration of 13.5 hours. The results showed that her alpha/beta2 increased over sessions, and her behavior performance including short-term memory, mood, and speech pattern was improved at the end of neurofeedback training. Importantly, a 22-month follow-up found a dramatic improvement in both positive and negative symptoms. These positive outcomes suggest that such intensive neurofeedback training may provide new insight into the treatment of schizophrenia and thus deserves further study to fully examine its scope.
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Wang J, Zhou Y, Gan H, Pang J, Li H, Wang J, Li C. Efficacy Towards Negative Symptoms and Safety of Repetitive Transcranial Magnetic Stimulation Treatment for Patients with Schizophrenia: A Systematic Review. SHANGHAI ARCHIVES OF PSYCHIATRY 2017; 29:61-76. [PMID: 28765677 PMCID: PMC5518263 DOI: 10.11919/j.issn.1002-0829.217024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background Negative symptoms are one of the most difficult areas in the treatment of schizophrenia because antipsychotics are often less effective towards them. Repetitive transcranial magnetic stimulation (rTMS) is a new technique for cerebral cortex stimulation and is believed to be a safe and promising method for the treatment of mental disorders. As the clinical research and new treatment models have increased in recent years, the efficacy towards negative symptoms and safety evaluation of rTMS treatment should also be updated. Aims To explore the efficacy and safety of rTMS in the treatment of negative symptoms for patients with schizophrenia. Methods We searched for relevant controlled clinical trials from the following databases: PubMed, EMBASE, the Cochrane Library, EBSCO, Web of Science, China National Knowledge Infrastructure (CNKI), VIP, Wanfang Data, SINOMED, and Airiti Library. The retrieval time went up to January 2, 2017. The research literature was screened according to the predefined inclusion and exclusion criteria. After data extraction, statistical analysis was conducted by using RevMan 5.3 and Stata 14. Quality evaluation was done on the included research articles. The Cochrane risk of bias assessment tool was adopted for assessing risk of bias. The GRADE (Grades of Recommendation, Assessment, Development, and Evaluation) system recommendation grading method was used as the reference standard. Results A total of 3500 articles were retrieved. In the end, there were 29 articles included in the metaanalysis with a total sample size of 1440. After the meta-analysis, it was found that the use of antipsychotic treatment combined with rTMS could improve the negative symptoms of patients (SMD=-0.40, 95% CI= -0.62~-0.18). Based on the bias of the efficacy evaluation assessed by the Cochrane risk of bias assessment tool, there were 6 studies rated as having “high risk of bias” and the rest were rated as “unable to determine”. According to the assessment, development and evaluation criteria of the GRADE classification, the evidence quality for the efficacy evaluation index was “moderate”. The acceptability of rTMS treatment was better (RR= 0.75, 95% CI= 0.49~1.15, based on the 1492 samples from the 28 studies), however, the patients who received the rTMS treatment had a higher rate of mild adverse effects (RR= 2.20, 95% CI= 1.53~ 3.18, based on the 1296 samples from the 23 studies). Conclusions The use of the antipsychotic treatment incorporated with rTMS treatment can slightly improve the negative symptoms of patients with schizophrenia and has better acceptability and fewer adverse effects. Nevertheless, there is publication bias in this study and the heterogeneity of the study is relatively high. Therefore, we need to be cautious when interpreting the results
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Affiliation(s)
- Junjie Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingqun Zhou
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Gan
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiaoyan Pang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Abstract
PURPOSE OF REVIEW To discuss recent strategies for boosting the efficacy of noninvasive transcranial brain stimulation to improve human brain function. RECENT FINDINGS Recent research exposed substantial intra- and inter-individual variability in response to plasticity-inducing transcranial brain stimulation. Trait-related and state-related determinants contribute to this variability, challenging the standard approach to apply stimulation in a rigid, one-size-fits-all fashion. Several strategies have been identified to reduce variability and maximize the plasticity-inducing effects of noninvasive transcranial brain stimulation. Priming interventions or paired associative stimulation can be used to 'standardize' the brain-state and hereby, homogenize the group response to stimulation. Neuroanatomical and neurochemical profiling based on magnetic resonance imaging and spectroscopy can capture trait-related and state-related variability. Fluctuations in brain-states can be traced online with functional brain imaging and inform the timing or other settings of transcranial brain stimulation. State-informed open-loop stimulation is aligned to the expression of a predefined brain state, according to prespecified rules. In contrast, adaptive closed-loop stimulation dynamically adjusts stimulation settings based on the occurrence of stimulation-induced state changes. SUMMARY Approaches that take into account trait-related and state-related determinants of stimulation-induced plasticity bear considerable potential to establish noninvasive transcranial brain stimulation as interventional therapeutic tool.
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Micoulaud Franchi JA, Quiles C, Belzeaux R, Adida M, Azorin JM. [Negative symptoms of schizophrenia: from electrophysiology to electrotherapy]. Encephale 2016; 41:6S50-6. [PMID: 26776393 DOI: 10.1016/s0013-7006(16)30011-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
The aim of this review of the literature is to summarize the state of the knowledge concerning the relationship between negative symptoms in schizophrenia, electrophysiology and electrotherapy. The scientific literature search of international articles was performed during August and September 2015 using the PubMed electronic database. We used the following MeSH terms: "Negative symptoms", "Schizophrenia", "Electrophysiology", "Neurophysiology", "EEG power", "Alpha rhythm", "Transcranial magnetic stimulation", "Transcranial direct current stimulation", "Electroconvulsive therapy", "Neurofeedback", "Vagus Nerve Stimulation", "Deep Brain Stimulation", and "State dependent". Negative symptoms in schizophrenia are associated with altered activity in prefrontal cortex in functional neuroimaging studies. This is in line with electrophysiological measurements that found a change in EEG spectral power in the alpha frequency band over prefrontal brain regions. The notion of functional hypofrontality has led to hypotheses that electrotherapy applied to the prefrontal cortex may be an effective treatment of negative symptoms in schizophrenia. Repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) were used to increase cortical activity in schizophrenia and achieve a clinical effect on negative symptoms. Three meta-analyses confirmed, with a moderate effect size, that rTMS is an effective treatment option for negative symptoms in schizophrenia. The two subsequently published prospective multicenter studies, however, found opposite results from each other. Two randomized controlled studies suggested that tDCS is an effective treatment option for negative symptoms. There is no study on the efficacy of neurofeedback, vagal nerve stimulation or deep brain stimulation on negative symptoms in schizophrenia. Additional studies are needed to confirm the efficacy of rTMS and tDCS on negative symptoms in schizophrenia. Influencing factors, related to clinical and stimulation parameters, of rTMS and tDCS on negative symptoms should be better investigated. Effects related to electrophysiological brain activity of the patient, especially in the alpha band, during the stimulation should also be better investigated. The action of electrotherapy may be state dependent, and a better understanding of electrophysiological effects of electrotherapy techniques could enable their optimization.
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Affiliation(s)
- J-A Micoulaud Franchi
- Services d'explorations fonctionnelles du système nerveux, Clinique du sommeil, CHU de Bordeaux, Place Amélie Raba-Leon, 33076 Bordeaux, France; USR CNRS 3413 SANPSY, CHU Pellegrin, Université de Bordeaux, France.
| | - C Quiles
- Université de Bordeaux, 146 rue Léo-Saignat, 33076 Bordeaux cedex, France
| | - R Belzeaux
- SHU Psychiatrie adultes, Hôpital Ste Marguerite, 13274 Marseille cedex 9, France
| | - M Adida
- SHU Psychiatrie adultes, Hôpital Ste Marguerite, 13274 Marseille cedex 9, France
| | - J-M Azorin
- SHU Psychiatrie adultes, Hôpital Ste Marguerite, 13274 Marseille cedex 9, France
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Klooster DCW, de Louw AJA, Aldenkamp AP, Besseling RMH, Mestrom RMC, Carrette S, Zinger S, Bergmans JWM, Mess WH, Vonck K, Carrette E, Breuer LEM, Bernas A, Tijhuis AG, Boon P. Technical aspects of neurostimulation: Focus on equipment, electric field modeling, and stimulation protocols. Neurosci Biobehav Rev 2016; 65:113-41. [PMID: 27021215 DOI: 10.1016/j.neubiorev.2016.02.016] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2015] [Revised: 02/05/2016] [Accepted: 02/17/2016] [Indexed: 12/31/2022]
Abstract
Neuromodulation is a field of science, medicine, and bioengineering that encompasses implantable and non-implantable technologies for the purpose of improving quality of life and functioning of humans. Brain neuromodulation involves different neurostimulation techniques: transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), vagus nerve stimulation (VNS), and deep brain stimulation (DBS), which are being used both to study their effects on cognitive brain functions and to treat neuropsychiatric disorders. The mechanisms of action of neurostimulation remain incompletely understood. Insight into the technical basis of neurostimulation might be a first step towards a more profound understanding of these mechanisms, which might lead to improved clinical outcome and therapeutic potential. This review provides an overview of the technical basis of neurostimulation focusing on the equipment, the present understanding of induced electric fields, and the stimulation protocols. The review is written from a technical perspective aimed at supporting the use of neurostimulation in clinical practice.
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Affiliation(s)
- D C W Klooster
- Kempenhaeghe Academic Center for Epileptology, P.O. Box 61, 5590 AB Heeze, The Netherlands; Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands.
| | - A J A de Louw
- Kempenhaeghe Academic Center for Epileptology, P.O. Box 61, 5590 AB Heeze, The Netherlands; Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands; Department of Neurology, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
| | - A P Aldenkamp
- Kempenhaeghe Academic Center for Epileptology, P.O. Box 61, 5590 AB Heeze, The Netherlands; Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands; Department of Neurology, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands; School for Mental Health and Neuroscience, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands; Department of Neurology, Ghent University Hospital, De Pintelaan 185, 9000 Ghent, Belgium.
| | - R M H Besseling
- Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands.
| | - R M C Mestrom
- Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands.
| | - S Carrette
- Department of Neurology, Ghent University Hospital, De Pintelaan 185, 9000 Ghent, Belgium.
| | - S Zinger
- Kempenhaeghe Academic Center for Epileptology, P.O. Box 61, 5590 AB Heeze, The Netherlands; Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands.
| | - J W M Bergmans
- Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands.
| | - W H Mess
- Departments of Clinical Neurophysiology, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
| | - K Vonck
- Department of Neurology, Ghent University Hospital, De Pintelaan 185, 9000 Ghent, Belgium.
| | - E Carrette
- Department of Neurology, Ghent University Hospital, De Pintelaan 185, 9000 Ghent, Belgium.
| | - L E M Breuer
- Kempenhaeghe Academic Center for Epileptology, P.O. Box 61, 5590 AB Heeze, The Netherlands.
| | - A Bernas
- Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands.
| | - A G Tijhuis
- Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands.
| | - P Boon
- Kempenhaeghe Academic Center for Epileptology, P.O. Box 61, 5590 AB Heeze, The Netherlands; Department of Electrical Engineering, University of Technology Eindhoven, P.O. Box 513, 5600 MB Eindhoven, The Netherlands; Department of Neurology, Ghent University Hospital, De Pintelaan 185, 9000 Ghent, Belgium.
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High frequency repetitive transcranial magnetic stimulation (rTMS) reduces EEG-hypofrontality in patients with schizophrenia. Psychiatry Res 2016; 236:199-201. [PMID: 26778629 DOI: 10.1016/j.psychres.2016.01.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Revised: 12/23/2015] [Accepted: 01/04/2016] [Indexed: 11/22/2022]
Abstract
The reduced metabolic activity in the prefrontal brain lobes, so-called hypofrontality, is associated with increased electrophysiological delta-band activity. Schizophrenia inpatients (N=35) received sham-controlled 10Hz rTMS over the left dorsolateral prefrontal cortex in a randomised design. After treatment, the resting electroencephalography revealed a significant decrease in the delta-band activity, which originated in the right prefrontal cortex and correlated with improvements in facial affect recognition.
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38
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Rational Approach to Understanding and Preventing Sports-Related Traumatic Brain Injuries. World Neurosurg 2015; 84:1556-7. [DOI: 10.1016/j.wneu.2015.07.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Accepted: 07/28/2015] [Indexed: 11/20/2022]
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Taghva A, Silvetz R, Ring A, Kim KYA, Murphy KT, Liu CY, Jin Y. Magnetic Resonance Therapy Improves Clinical Phenotype and EEG Alpha Power in Posttraumatic Stress Disorder. Trauma Mon 2015; 20:e27360. [PMID: 26839865 PMCID: PMC4727473 DOI: 10.5812/traumamon.27360] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Revised: 05/10/2015] [Accepted: 06/28/2015] [Indexed: 02/07/2023] Open
Abstract
Background: Posttraumatic stress disorder (PTSD) is a disabling and prevalent psychiatric disorder with limited effective treatment options. In addition to the clinical features of the disease, pathologic changes in the electroencephalogram (EEG), including decreased alpha power, have been reported. Objectives: To determine if magnetic brain stimulation can induce normalization of EEG abnormalities and improve clinical symptoms in PTSD in a preliminary, open-label evaluation. Materials and Methods: We reviewed prospectively-collected data on 21 veterans that were consecutively-treated for PTSD. Magnetic resonance therapy (MRT) was administered for two weeks at treatment frequencies based on frequency-domain analysis of each patient’s dominant alpha-band EEG frequencies and resting heart rate. Patients were evaluated on the PTSD checklist (PCL-M) and pre- and post-treatment EEGs before and after MRT. Results: Of the 21 patients who initiated therapy, 16 completed treatment. Clinical improvements on the PCL-M were seen in these 16 patients, with an average pre-treatment score of 54.9 and post-treatment score of 31.8 (P < 0.001). In addition, relative global EEG alpha-band (8 - 13 Hz) power increased from 32.0 to 38.5 percent (P = 0.013), and EEG delta-band (1 - 4 Hz) power decreased from 32.3 percent to 26.8 percent (P = 0.028). Conclusions: These open-label data show trends toward normalization of EEG and concomitant clinical improvement using magnetic stimulation for PTSD.
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Affiliation(s)
- Alexander Taghva
- Center for Neurorestoration, University of Southern California, Los Angeles, USA
- Orange County Neurosurgical Associates, Mission Viejo, USA
- Corresponding author: Alexander Taghva, Orange County Neurosurgical Associates, Mission Viejo, USA. Tel: +1-9493887190, E-mail:
| | | | - Alex Ring
- Center for Neurorestoration, University of Southern California, Los Angeles, USA
- Newport Brain Research Laboratory, Newport Beach, USA
| | | | - Kevin T. Murphy
- Department of Radiation Oncology, University of California, San Diego, La Jolla, USA
| | - Charles Y. Liu
- Center for Neurorestoration, University of Southern California, Los Angeles, USA
- Department of Neurosurgery, University of Southern California, Los Angeles, USA
| | - Yi Jin
- Center for Neurorestoration, University of Southern California, Los Angeles, USA
- Newport Brain Research Laboratory, Newport Beach, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, USA
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Goldstein MR, Peterson MJ, Sanguinetti JL, Tononi G, Ferrarelli F. Topographic deficits in alpha-range resting EEG activity and steady state visual evoked responses in schizophrenia. Schizophr Res 2015; 168:145-52. [PMID: 26159669 DOI: 10.1016/j.schres.2015.06.012] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2015] [Revised: 06/10/2015] [Accepted: 06/12/2015] [Indexed: 01/16/2023]
Abstract
Deficits in both resting alpha-range (8-12Hz) electroencephalogram (EEG) activity and steady state evoked potential (SSVEP) responses have been reported in schizophrenia. However, the topographic specificity of these effects, the relationship between resting EEG and SSVEP, as well as the impact of antipsychotic medication on these effects, have not been clearly delineated. The present study sought to address these questions with 256 channel high-density EEG recordings in a group of 13 schizophrenia patients, 13 healthy controls, and 10 non-schizophrenia patients with psychiatric diagnoses currently taking antipsychotic medication. At rest, the schizophrenia group demonstrated decreased alpha EEG power in frontal and occipital areas relative to healthy controls. With SSVEP stimulation centered in the alpha band (10Hz), but not with stimulation above (15Hz) or below (7Hz) this range, the occipital deficit in alpha power was partially reverted. However, the frontal deficit persisted and contributed to a significantly reduced topographic relationship between occipital and frontal alpha activity for resting EEG and 10Hz SSVEP alpha power in schizophrenia patients. No significant differences were observed between healthy and medicated controls or between medicated controls and schizophrenia. These findings suggest a potential intrinsic deficit in frontal eyes-closed EEG alpha oscillations in schizophrenia, whereby potent visual stimulation centered in that frequency range results in an increase in the occipital alpha power of these patients, which however does not extend to frontal regions. Future research to evaluate the cortical and subcortical mechanisms of these effects is warranted.
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Affiliation(s)
- Michael R Goldstein
- Department of Psychiatry, University of Wisconsin, Madison, WI, United States; Department of Psychology, University of Arizona, Tucson, AZ, United States
| | - Michael J Peterson
- Department of Psychiatry, University of Wisconsin, Madison, WI, United States
| | | | - Giulio Tononi
- Department of Psychiatry, University of Wisconsin, Madison, WI, United States
| | - Fabio Ferrarelli
- Department of Psychiatry, University of Wisconsin, Madison, WI, United States.
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41
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Dougall N, Maayan N, Soares‐Weiser K, McDermott LM, McIntosh A. Transcranial magnetic stimulation (TMS) for schizophrenia. Cochrane Database Syst Rev 2015; 2015:CD006081. [PMID: 26289586 PMCID: PMC9395125 DOI: 10.1002/14651858.cd006081.pub2] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND People with schizophrenia often experience symptoms which fail to fully respond to antipsychotic medication. Transcranial magnetic stimulation (TMS) has been proposed as a new treatment for people with schizophrenia, especially those who experience persistent auditory hallucinations. OBJECTIVES To estimate the effects of TMS alone, compared with sham TMS or with 'standard management' and any other comparison interventions in reducing psychotic symptoms associated with schizophrenia. SEARCH METHODS We searched the Cochrane Schizophrenia Group Trials Register (June 2006, June 2008, April 2013). This register is compiled by methodical searches of MEDLINE, EMBASE, BIOSIS, CINAHL, Dissertation abstracts, LILACS, PSYNDEX, PsycINFO, RUSSMED, and Sociofile, and is supplemented with handsearching of relevant journals and numerous conference proceedings. SELECTION CRITERIA We included all randomised controlled trials recruiting at least five participants and comparing TMS with sham TMS or any other treatment for people with schizophrenia. DATA COLLECTION AND ANALYSIS We extracted data independently. For dichotomous data we calculated relative risks (RRs) and their 95% confidence intervals (CIs). For continuous data, we calculated mean differences (MD) and 95% CI. We used a fixed-effect model. We assessed overall quality of the evidence using the GRADE approach. MAIN RESULTS We included 41 studies with 1473 participants in the review. We found significant differences in favour of temporoparietal TMS compared to sham TMS for global state measured on the CGI scale (7 RCTs, n = 224, MD -0.5, 95% CI -0.76 to -0.23, very low-quality evidence) and positive symptoms measured on the PANSS scale (5 RCTs, n = 127, MD -6.09, 95% CI -10.95 to -1.22, very low-quality evidence). Participants experienced significantly more headaches in the temporoparietal TMS group (10 RCTs, n = 392, RR 2.65, 95% CI 1.56 to 4.50, very low-quality evidence). However, no more participants left the study early from the TMS group than from the sham group (very low-quality evidence). Cognitive state was assessed using 39 different measures, and all were equivocal (very low-quality evidence).We included only two trials which compared temporoparietal TMS with standard treatment. In both trials the participants received first- and second-generation antipsychotic medication in both treatment groups, therefore TMS was used an adjunctive therapy to medication. We found no significant differences in the number of participants that showed clinical improvement in global state (1 RCT, n = 100, RR 1.19, 95% CI 0.91 to 1.57) or left the study early (2 RCTs, n = 140, RR 0.33, 95% CI 0.08 to 1.46) (both very low-quality evidence). No studies reported on global state score, mental state, cognitive state and adverse effects.For prefrontal TMS compared to sham TMS, global state was measured on three different scales, all of which presented equivocal results (very low quality evidence). We could not pool data for mental state on the PANSS scale due to high heterogeneity. Cognitive state was assessed using 19 different measures, with 15/19 being equivocal (very low-quality evidence). Prefrontal TMS caused more headaches (6 RCTs, n = 164, RR 2.77, 95% CI 1.22 to 6.26, very low-quality evidence) but there was no difference in the number of participants leaving the study early (very low-quality evidence). No studies reported data for clinical improvement.We found a significant difference in favour of prefrontal theta burst stimulation TMS compared to sham TMS for mental state on the PANNS scale (3 RCTs, n = 108, MD -5.71, 95% CI -9.32 to -2.10, very low evidence). We found no difference for clinical improvement, cognitive state, number of headaches, and leaving the study early (very low-quality evidence).None of the included studies reported satisfaction with care. AUTHORS' CONCLUSIONS Based on this review, there is insufficient evidence to support or refute the use of TMS to treat symptoms of schizophrenia. Although some evidence suggests that TMS, and in particular temporoparietal TMS, may improve certain symptoms (such as auditory hallucinations and positive symptoms of schizophrenia) compared to sham TMS, the results were not robust enough to be unequivocal across the assessment measures used. There was insufficient evidence to suggest any added benefit with TMS used as an adjunctive therapy to antipsychotic medication.The overall quality of evidence was graded as very low due to risk of bias, and this was accompanied by an imprecision in estimates due to the relatively small number of participants in the studies. Thus, consideration is required in improving the quality of trial processes, as well as the quality of reporting of ongoing and future TMS trials, so as to facilitate accurate future judgements in assessing risk of bias. Differences in TMS techniques in relation to stimulation intensity, stimulation length, brain areas stimulated and variations in the design of sham TMS all contributed to the heterogeneity of study findings and limited the interpretation and applicability of the results. In addition, the trials assessed their outcomes with a variety of scales, and usable data were limited. Therefore, to better evaluate the treatment effects of TMS in people with schizophrenia, we favour the use of standardised treatment protocols and outcome measures.
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Affiliation(s)
- Nadine Dougall
- University of StirlingNMAHP Research UnitUnit 13 Scion HouseStirling University Innovation ParkStirlingUKFK9 4NF
| | - Nicola Maayan
- Enhance Reviews LtdCentral Office, Cobweb BuildingsThe Lane, LyfordWantageUKOX12 0EE
| | - Karla Soares‐Weiser
- Enhance Reviews LtdCentral Office, Cobweb BuildingsThe Lane, LyfordWantageUKOX12 0EE
| | - Lisa M McDermott
- King's College LondonPrimary Care and Public Health Sciences42 Weston StreetLondonUKSE1 3QD
| | - Andrew McIntosh
- University of Edinburgh, Royal Edinburgh HospitalEdinburghUKEH10 5HF
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Leuchter AF, Cook IA, Feifel D, Goethe JW, Husain M, Carpenter LL, Thase ME, Krystal AD, Philip NS, Bhati MT, Burke WJ, Howland RH, Sheline YI, Aaronson ST, Iosifescu DV, O'Reardon JP, Gilmer WS, Jain R, Burgoyne KS, Phillips B, Manberg PJ, Massaro J, Hunter AM, Lisanby SH, George MS. Efficacy and Safety of Low-field Synchronized Transcranial Magnetic Stimulation (sTMS) for Treatment of Major Depression. Brain Stimul 2015; 8:787-94. [DOI: 10.1016/j.brs.2015.05.005] [Citation(s) in RCA: 78] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Revised: 05/15/2015] [Accepted: 05/19/2015] [Indexed: 11/26/2022] Open
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Dlabac-de Lange JJ, Bais L, van Es FD, Visser BGJ, Reinink E, Bakker B, van den Heuvel ER, Aleman A, Knegtering H. Efficacy of bilateral repetitive transcranial magnetic stimulation for negative symptoms of schizophrenia: results of a multicenter double-blind randomized controlled trial. Psychol Med 2015; 45:1263-1275. [PMID: 25354751 DOI: 10.1017/s0033291714002360] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Few studies have investigated the efficacy of repetitive transcranial magnetic stimulation (rTMS) treatment for negative symptoms of schizophrenia, reporting inconsistent results. We aimed to investigate whether 10 Hz stimulation of the bilateral dorsolateral prefrontal cortex during 3 weeks enhances treatment effects. METHOD A multicenter double-blind randomized controlled trial was performed in 32 patients with schizophrenia or schizo-affective disorder, and moderate to severe negative symptoms [Positive and Negative Syndrome Scale (PANSS) negative subscale ⩾15]. Patients were randomized to a 3-week course of active or sham rTMS. Primary outcome was severity of negative symptoms as measured with the Scale for the Assessment of Negative Symptoms (SANS) and the PANSS negative symptom score. Secondary outcome measures included cognition, insight, quality of life and mood. Subjects were followed up at 4 weeks and at 3 months. For analysis of the data a mixed-effects linear model was used. RESULTS A significant improvement of the SANS in the active group compared with sham up to 3 months follow-up (p = 0.03) was found. The PANSS negative symptom scores did not show a significant change (p = 0.19). Of the cognitive tests, only one showed a significant improvement after rTMS as compared with sham. Finally, a significant change of insight was found with better scores in the treatment group. CONCLUSIONS Bilateral 10 Hz prefrontal rTMS reduced negative symptoms, as measured with the SANS. More studies are needed to investigate optimal parameters for rTMS, the cognitive effects and the neural basis.
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Affiliation(s)
- J J Dlabac-de Lange
- University of Groningen,University Medical Center Groningen,Department of Psychiatry,Hanzeplein 1,Groningen,The Netherlands
| | - L Bais
- University of Groningen,University Medical Center Groningen,Department of Neuroscience and BCN Neuroimaging Center,Antonius Deusinglaan 2,Groningen,The Netherlands
| | - F D van Es
- University of Groningen,University Medical Center Groningen,Department of Psychiatry,Hanzeplein 1,Groningen,The Netherlands
| | - B G J Visser
- University of Groningen,University Medical Center Groningen,Department of Psychiatry,Hanzeplein 1,Groningen,The Netherlands
| | - E Reinink
- Lentis Research,Center for Mental Health,Hereweg 80,Groningen,The Netherlands
| | - B Bakker
- Lentis Research,Center for Mental Health,Hereweg 80,Groningen,The Netherlands
| | - E R van den Heuvel
- University of Groningen,University Medical Center Groningen,Department of Epidemiology,Hanzeplein 1,Groningen,The Netherlands
| | - A Aleman
- University of Groningen,University Medical Center Groningen,Department of Neuroscience and BCN Neuroimaging Center,Antonius Deusinglaan 2,Groningen,The Netherlands
| | - H Knegtering
- University of Groningen,University Medical Center Groningen,Department of Psychiatry,Hanzeplein 1,Groningen,The Netherlands
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Quan WX, Zhu XL, Qiao H, Zhang WF, Tan SP, Zhou DF, Wang XQ. The effects of high-frequency repetitive transcranial magnetic stimulation (rTMS) on negative symptoms of schizophrenia and the follow-up study. Neurosci Lett 2014; 584:197-201. [PMID: 25449864 DOI: 10.1016/j.neulet.2014.10.029] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Revised: 09/25/2014] [Accepted: 10/16/2014] [Indexed: 11/25/2022]
Abstract
In this double-blind, randomized controlled study, we assessed the therapeutic effects of high-frequency left dorsolateral prefrontal cortex (DLPFC) repetitive transcranial magnetic stimulation (rTMS) on negative symptoms of schizophrenia. For the study, 117 patients with prominent negative symptoms were randomized to a 20-day course of either active rTMS applied to the left DLPFC (n = 78) or sham rTMS (n = 39). The primary outcome measures were the Positive and Negative Symptom Scale (PANSS) and the Scale for the Assessment of Negative Symptoms (SANS). Secondary outcomes included the Clinical Global Impressions Scale (CGI) and the Udvalg for Kliniske Under sogelser (UKU) Side Effect Rating Scale. We found that treatment with high-frequency rTMS for 6 weeks significantly improved negative symptoms in the active group as compared to the sham group. However, active rTMS was not correlated with significant improvement in the CGI severity of illness scale (CGI-S). The improvement of negative symptoms persisted to the 24-week follow-up assessment. These results indicate that there is a lasting beneficial effect of rTMS on negative symptoms in absence of decrease in CGI scores. We conclude that rTMS may serve as a relatively noninvasive treatment that alleviates negative symptoms in patients with schizophrenia.
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Affiliation(s)
- Wen Xiang Quan
- Institute of Mental Health, Peking University, 51 Hua Yuan Bei Road, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Institute of Mental Health, The Sixth Hospital, Peking University, China
| | - Xiao Lin Zhu
- Center for Psychiatric Research, Beijing Huilongguan Hospital, Beijing 100096, China
| | - Hong Qiao
- Institute of Mental Health, Peking University, 51 Hua Yuan Bei Road, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Institute of Mental Health, The Sixth Hospital, Peking University, China
| | - Wu Fang Zhang
- Institute of Mental Health, Peking University, 51 Hua Yuan Bei Road, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Institute of Mental Health, The Sixth Hospital, Peking University, China
| | - Shu Ping Tan
- Center for Psychiatric Research, Beijing Huilongguan Hospital, Beijing 100096, China
| | - Dong Feng Zhou
- Institute of Mental Health, Peking University, 51 Hua Yuan Bei Road, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Institute of Mental Health, The Sixth Hospital, Peking University, China
| | - Xiang Qun Wang
- Institute of Mental Health, Peking University, 51 Hua Yuan Bei Road, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Institute of Mental Health, The Sixth Hospital, Peking University, China.
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Neuromodulation for depression: invasive and noninvasive (deep brain stimulation, transcranial magnetic stimulation, trigeminal nerve stimulation). Neurosurg Clin N Am 2014; 25:103-16. [PMID: 24262903 DOI: 10.1016/j.nec.2013.10.002] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Major depressive disorder is among the most disabling illnesses and, despite best practices with medication and psychotherapy, many patients remain ill even after several treatment trials. For many of these patients with treatment-resistant or pharmacoresistant depression, treatment with neuromodulation offers an alternative. Options range from systems that are implanted to others that are entirely noninvasive. This review surveys recent literature to update readers on 3 particular interventions: deep brain stimulation, transcranial magnetic stimulation, and trigeminal nerve stimulation. Additional comparative research is needed to delineate the relative advantages of these treatments, and how best to match individual patients to neuromodulation intervention.
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Rabany L, Deutsch L, Levkovitz Y. Double-blind, randomized sham controlled study of deep-TMS add-on treatment for negative symptoms and cognitive deficits in schizophrenia. J Psychopharmacol 2014; 28:686-90. [PMID: 24829210 DOI: 10.1177/0269881114533600] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Negative symptoms and cognitive deficits are considered core symptoms of schizophrenia, yet treatment for them remains inadequate. Deep-transcranial magnetic stimulation (TMS) is a novel technology that enables non-invasive stimulation of deep layers of the prefrontal cortex. Preliminary evidence suggests that deep-TMS could be effective in the treatment of negative symptoms and cognitive deficits. The current study is the first double-blind, randomized sham-controlled study to examine the feasibility of deep-TMS add-on treatment for negative symptoms and cognitive deficits in schizophrenia. Twenty daily H1 deep-TMS treatments (20Hz, 120% MT) were delivered, in a double-blind, randomized sham-controlled design (n=30). Extensive clinical and cognitive assessments were carried out throughout the study and for an additional one month follow-up period. The results indicate that at the end of the treatment period, negative symptoms (as indicated by the Scale for the Assessment of Negative Symptoms (SANS)) significantly reduced in the TMS group (-7.7), but not in the sham group (-1.9). Differences between the groups were not statistically significant.
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Affiliation(s)
- Liron Rabany
- Sagol School of Neuroscience, Tel-Aviv University, Tel Aviv, Israel The Emotion-Cognition Research Center, Shalvata Mental Health Care Center, Hod-Hasharon, Israel, which is affiliated with the Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel
| | - Lisa Deutsch
- Biostatistical Consulting, BioStats, Modiin, Israel
| | - Yechiel Levkovitz
- The Emotion-Cognition Research Center, Shalvata Mental Health Care Center, Hod-Hasharon, Israel, which is affiliated with the Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel
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47
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Lefaucheur JP, André-Obadia N, Antal A, Ayache SS, Baeken C, Benninger DH, Cantello RM, Cincotta M, de Carvalho M, De Ridder D, Devanne H, Di Lazzaro V, Filipović SR, Hummel FC, Jääskeläinen SK, Kimiskidis VK, Koch G, Langguth B, Nyffeler T, Oliviero A, Padberg F, Poulet E, Rossi S, Rossini PM, Rothwell JC, Schönfeldt-Lecuona C, Siebner HR, Slotema CW, Stagg CJ, Valls-Sole J, Ziemann U, Paulus W, Garcia-Larrea L. Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS). Clin Neurophysiol 2014; 125:2150-2206. [PMID: 25034472 DOI: 10.1016/j.clinph.2014.05.021] [Citation(s) in RCA: 1287] [Impact Index Per Article: 128.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2014] [Revised: 05/09/2014] [Accepted: 05/13/2014] [Indexed: 12/11/2022]
Abstract
A group of European experts was commissioned to establish guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS) from evidence published up until March 2014, regarding pain, movement disorders, stroke, amyotrophic lateral sclerosis, multiple sclerosis, epilepsy, consciousness disorders, tinnitus, depression, anxiety disorders, obsessive-compulsive disorder, schizophrenia, craving/addiction, and conversion. Despite unavoidable inhomogeneities, there is a sufficient body of evidence to accept with level A (definite efficacy) the analgesic effect of high-frequency (HF) rTMS of the primary motor cortex (M1) contralateral to the pain and the antidepressant effect of HF-rTMS of the left dorsolateral prefrontal cortex (DLPFC). A Level B recommendation (probable efficacy) is proposed for the antidepressant effect of low-frequency (LF) rTMS of the right DLPFC, HF-rTMS of the left DLPFC for the negative symptoms of schizophrenia, and LF-rTMS of contralesional M1 in chronic motor stroke. The effects of rTMS in a number of indications reach level C (possible efficacy), including LF-rTMS of the left temporoparietal cortex in tinnitus and auditory hallucinations. It remains to determine how to optimize rTMS protocols and techniques to give them relevance in routine clinical practice. In addition, professionals carrying out rTMS protocols should undergo rigorous training to ensure the quality of the technical realization, guarantee the proper care of patients, and maximize the chances of success. Under these conditions, the therapeutic use of rTMS should be able to develop in the coming years.
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Affiliation(s)
- Jean-Pascal Lefaucheur
- Department of Physiology, Henri Mondor Hospital, Assistance Publique - Hôpitaux de Paris, Créteil, France; EA 4391, Nerve Excitability and Therapeutic Team, Faculty of Medicine, Paris Est Créteil University, Créteil, France.
| | - Nathalie André-Obadia
- Neurophysiology and Epilepsy Unit, Pierre Wertheimer Neurological Hospital, Hospices Civils de Lyon, Bron, France; Inserm U 1028, NeuroPain Team, Neuroscience Research Center of Lyon (CRNL), Lyon-1 University, Bron, France
| | - Andrea Antal
- Department of Clinical Neurophysiology, Georg-August University, Göttingen, Germany
| | - Samar S Ayache
- Department of Physiology, Henri Mondor Hospital, Assistance Publique - Hôpitaux de Paris, Créteil, France; EA 4391, Nerve Excitability and Therapeutic Team, Faculty of Medicine, Paris Est Créteil University, Créteil, France
| | - Chris Baeken
- Department of Psychiatry and Medical Psychology, Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, Ghent, Belgium; Department of Psychiatry, University Hospital (UZBrussel), Brussels, Belgium
| | - David H Benninger
- Neurology Service, Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Roberto M Cantello
- Department of Translational Medicine, Section of Neurology, University of Piemonte Orientale "A. Avogadro", Novara, Italy
| | | | - Mamede de Carvalho
- Institute of Physiology, Institute of Molecular Medicine, Faculty of Medicine, University of Lisbon, Portugal
| | - Dirk De Ridder
- Brai(2)n, Tinnitus Research Initiative Clinic Antwerp, Belgium; Department of Neurosurgery, University Hospital Antwerp, Belgium
| | - Hervé Devanne
- Department of Clinical Neurophysiology, Lille University Hospital, Lille, France; ULCO, Lille-Nord de France University, Lille, France
| | - Vincenzo Di Lazzaro
- Department of Neurosciences, Institute of Neurology, Campus Bio-Medico University, Rome, Italy
| | - Saša R Filipović
- Department of Neurophysiology, Institute for Medical Research, University of Belgrade, Beograd, Serbia
| | - Friedhelm C Hummel
- Brain Imaging and Neurostimulation (BINS) Laboratory, Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Satu K Jääskeläinen
- Department of Clinical Neurophysiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Vasilios K Kimiskidis
- Laboratory of Clinical Neurophysiology, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Giacomo Koch
- Non-Invasive Brain Stimulation Unit, Neurologia Clinica e Comportamentale, Fondazione Santa Lucia IRCCS, Rome, Italy
| | - Berthold Langguth
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Thomas Nyffeler
- Perception and Eye Movement Laboratory, Department of Neurology, University Hospital, Inselspital, University of Bern, Bern, Switzerland
| | - Antonio Oliviero
- FENNSI Group, Hospital Nacional de Parapléjicos, SESCAM, Toledo, Spain
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University, Munich, Germany
| | - Emmanuel Poulet
- Department of Emergency Psychiatry, CHU Lyon, Edouard Herriot Hospital, Hospices Civils de Lyon, Lyon, France; EAM 4615, Lyon-1 University, Bron, France
| | - Simone Rossi
- Brain Investigation & Neuromodulation Lab, Unit of Neurology and Clinical Neurophysiology, Department of Neuroscience, University of Siena, Siena, Italy
| | - Paolo Maria Rossini
- Brain Connectivity Laboratory, IRCCS San Raffaele Pisana, Rome, Italy; Institute of Neurology, Catholic University, Rome, Italy
| | - John C Rothwell
- Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College London, London, United Kingdom
| | | | - Hartwig R Siebner
- Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | | | - Charlotte J Stagg
- Oxford Centre for Functional MRI of the Brain (FMRIB), Department of Clinical Neurosciences, University of Oxford, United Kingdom
| | - Josep Valls-Sole
- EMG Unit, Neurology Service, Hospital Clinic, Department of Medicine, University of Barcelona, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Ulf Ziemann
- Department of Neurology & Stroke, and Hertie Institute for Clinical Brain Research, Eberhard Karls University, Tübingen, Germany
| | - Walter Paulus
- Department of Clinical Neurophysiology, Georg-August University, Göttingen, Germany
| | - Luis Garcia-Larrea
- Inserm U 1028, NeuroPain Team, Neuroscience Research Center of Lyon (CRNL), Lyon-1 University, Bron, France; Pain Unit, Pierre Wertheimer Neurological Hospital, Hospices Civils de Lyon, Bron, France
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48
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Revisiting the therapeutic effect of rTMS on negative symptoms in schizophrenia: a meta-analysis. Psychiatry Res 2014; 215:505-13. [PMID: 24411074 PMCID: PMC4127383 DOI: 10.1016/j.psychres.2013.12.019] [Citation(s) in RCA: 92] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2013] [Revised: 11/18/2013] [Accepted: 12/14/2013] [Indexed: 02/06/2023]
Abstract
This study sought to determine the moderators in the treatment effect of repetitive transcranial magnetic stimulation (rTMS) on negative symptoms in schizophrenia. We performed a meta-analysis of prospective studies on the therapeutic application of rTMS in schizophrenia assessing the effects of both low-frequency and high-frequency rTMS on negative symptoms. Results indicate that rTMS is effective in alleviating negative symptoms in schizophrenia. The effect size was moderate (0.63 and 0.53, respectively). The effect size of rTMS on negative symptoms in sham-controlled trials was 0.80 as measured by the SANS and 0.41 as measured by the PANSS. A longer duration of illness was associated with poorer efficacy of rTMS on negative symptoms. A 10 Hz setting, at least 3 consecutive weeks of treatment, treatment site at the left dorsolateral prefrontal cortex (DLPFC) and a 110% motor threshold (MT) were found to be the best rTMS parameters for the treatment of negative symptoms. The results of our meta-analysis suggest that rTMS is an effective treatment option for negative symptoms in schizophrenia. The moderators of rTMS on negative symptoms included duration of illness, stimulus frequency, duration of illness, position and intensity of treatment as well as the type of outcome measures used.
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49
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rTMS in the treatment of drug addiction: an update about human studies. Behav Neurol 2014; 2014:815215. [PMID: 24803733 PMCID: PMC4006612 DOI: 10.1155/2014/815215] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2013] [Accepted: 04/22/2013] [Indexed: 01/29/2023] Open
Abstract
Drug addiction can be a devastating and chronic relapsing disorder with social, psychological, and physical consequences, and more effective treatment options are needed. Repetitive transcranial magnetic stimulation (rTMS) is a noninvasive brain stimulation technique that has been assessed in a growing number of studies for its therapeutic potential in treating addiction. This review paper offers an overview on the current state of clinical research in treating drug addiction with rTMS. Because of the limited research in this area, all studies (including case reports) that evaluated the therapeutic use of rTMS in nicotine, alcohol, or illicit drug addiction were included in this review. Papers published prior to December 2012 were found through an NCBI PubMed search. A total of eleven studies were identified that met review criteria. There is nascent evidence that rTMS could be effective in reducing cocaine craving and nicotine and alcohol craving and consumption and might represent a potential therapeutic tool for treating addiction. Further studies are needed to identify the optimal parameters of stimulation for the most effective treatment of drug addiction, to improve our comprehension of the treatment neurophysiological effects, and to conduct rigorous, controlled efficacy studies with adequate power.
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50
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Voineskos D, Daskalakis ZJ. A primer on the treatment of schizophrenia through repetitive transcranial magnetic stimulation. Expert Rev Neurother 2014; 13:1079-82. [DOI: 10.1586/14737175.2013.840416] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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