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Santoro V, Hou MD, Premoli I, Belardinelli P, Biondi A, Carobin A, Puledda F, Michalopoulou PG, Richardson MP, Rocchi L, Shergill SS. Investigating cortical excitability and inhibition in patients with schizophrenia: A TMS-EEG study. Brain Res Bull 2024; 212:110972. [PMID: 38710310 DOI: 10.1016/j.brainresbull.2024.110972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 04/24/2024] [Accepted: 04/30/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND Transcranial magnetic stimulation (TMS) combined with electromyography (EMG) has widely been used as a non-invasive brain stimulation tool to assess excitation/inhibition (E/I) balance. E/I imbalance is a putative mechanism underlying symptoms in patients with schizophrenia. Combined TMS-electroencephalography (TMS-EEG) provides a detailed examination of cortical excitability to assess the pathophysiology of schizophrenia. This study aimed to investigate differences in TMS-evoked potentials (TEPs), TMS-related spectral perturbations (TRSP) and intertrial coherence (ITC) between patients with schizophrenia and healthy controls. MATERIALS AND METHODS TMS was applied over the motor cortex during EEG recording. Differences in TEPs, TRSP and ITC between the patient and healthy subjects were analysed for all electrodes at each time point, by applying multiple independent sample t-tests with a cluster-based permutation analysis to correct for multiple comparisons. RESULTS Patients demonstrated significantly reduced amplitudes of early and late TEP components compared to healthy controls. Patients also showed a significant reduction of early delta (50-160 ms) and theta TRSP (30-250ms),followed by a reduction in alpha and beta suppression (220-560 ms; 190-420 ms). Patients showed a reduction of both early (50-110 ms) gamma increase and later (180-230 ms) gamma suppression. Finally, the ITC was significantly lower in patients in the alpha band, from 30 to 260 ms. CONCLUSION Our findings support the putative role of impaired GABA-receptor mediated inhibition in schizophrenia impacting excitatory neurotransmission. Further studies can usefully elucidate mechanisms underlying specific symptoms clusters using TMS-EEG biometrics.
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Affiliation(s)
- V Santoro
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom; Headache Group, Wolfson SPaRC, Institute of Psychiatry Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom.
| | - M D Hou
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - I Premoli
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - P Belardinelli
- Cimec, Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - A Biondi
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - A Carobin
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - F Puledda
- Headache Group, Wolfson SPaRC, Institute of Psychiatry Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - P G Michalopoulou
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - M P Richardson
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom
| | - L Rocchi
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom; Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - S S Shergill
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, United Kingdom; Kent and Medway Medical School, Canterbury CT2 7FS, United Kingdom; Kent and Medway NHS and Social Care Partnership Trust, Maidstone, ME7 4JL, United Kingdom
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Gilligan G, Panico R, Lazos J, Morelatto R, Belardinelli P, Criscuolo MI, Bolesina N, Molina Ávila I, Pimentel Solá JM, Rivarola E, Morgante MJ, Ingrassia Tonelli ME, Gimenez J, Doratti P, Werner LC, Prado-Ribeiro AC, Brandão TB, Vechiato-Filho AJ, Cuzzullin MC, Saldivia-Siracusa C, Lopes MA, Agostini M, Romañach MJ, Abrahão AC, Fonsêca TC, Kaminagakura E, Anbinder AL, Santos Alves K, de Almeida Lança ML, Sacsaquispe-Contreras S, Rodriguez Ibazetta K, Gerber-Mora R, Aranda Romo S, Tejeda Nava FJ, Cordero-Torres K, Moreno Silva R, Gonzalez-Arriagada W, Toro R, Silveira FM, Gonzalez N, Vargas PA, Santos-Silva AR, Bologna-Molina R, Villarroel-Dorrego M, Martinez B, Piemonte E. Oral squamous cell carcinomas and oral potentially malignant disorders: A Latin American study. Oral Dis 2023. [PMID: 37877476 DOI: 10.1111/odi.14778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 09/09/2023] [Accepted: 10/10/2023] [Indexed: 10/26/2023]
Abstract
OBJECTIVE To determine the frequency of oral squamous cell carcinoma (OSCC) associated or not with oral potentially malignant disorders (OPMD), and the epidemiological profile and traditional risk factors in Latin America. METHODS A retrospective observational study was conducted in 17 Latin American centres. There were included cases of OSCC, analysing age, gender, OSCC and their association with previous OPMD. Clinicopathological variables were retrieved. The condition of sequential-OSCC versus OSCC-de novo (OSCC-dn) was analysed concerning the aforementioned variables. Quantitative variables were analysed using Student's t-test, and qualitative variables with chi-square. RESULTS In total, 2705 OSCC were included with a mean age of 62.8 years old. 55.8% were men. 53.75% of the patients were smokers and 38% were common drinkers. The lateral tongue border was the most affected site (24.65%). There were regional variations in OPMD, being leukoplakia the most frequent. Of the overall 2705 OSCC cases, 81.4% corresponded to OSCC-dn, while s-OSCC were 18.6%. Regarding lip vermillion SCC, 35.7% corresponded to de novo lip SCC and 64.3% were associated with previous OPMD. CONCLUSIONS In Latin America, OSCC-dn seems to be more frequent with regional variations of some clinical and histopathological features. Further prospective studies are needed to analyse this phenomenon.
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Affiliation(s)
- Gerardo Gilligan
- Oral Medicine Department "A", Facultad de Odontología, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - René Panico
- Oral Medicine Department "A", Facultad de Odontología, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Jerónimo Lazos
- Oral Medicine Department "A", Facultad de Odontología, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Rosana Morelatto
- Oral Medicine Department "B", Facultad de Odontología, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Paola Belardinelli
- Oral Medicine Department "B", Facultad de Odontología, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Maria Ines Criscuolo
- Oral Medicine Department "B", Facultad de Odontología, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Nicolas Bolesina
- Oral Medicine Department "B", Facultad de Odontología, Universidad Nacional de Córdoba, Córdoba, Argentina
| | | | | | | | | | | | | | | | | | - Ana Carolina Prado-Ribeiro
- Dental Oncology Service, Instituto do Câncer do Estado de São Paulo (ICESP), Fundação da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil
- Oral Diagnosis Department, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil
| | - Thais Bianca Brandão
- Dental Oncology Service, Instituto do Câncer do Estado de São Paulo (ICESP), Fundação da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil
| | - Aljomar Jose Vechiato-Filho
- Dental Oncology Service, Instituto do Câncer do Estado de São Paulo (ICESP), Fundação da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil
- Oral Diagnosis Department, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil
| | - Maria Claudia Cuzzullin
- Oral Diagnosis Department, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil
| | | | - Marcio Ajudarte Lopes
- Oral Diagnosis Department, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil
| | - Michelle Agostini
- Department of Oral Diagnosis and Pathology, School of Dentistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Mario José Romañach
- Department of Oral Diagnosis and Pathology, School of Dentistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Aline Corrêa Abrahão
- Department of Oral Diagnosis and Pathology, School of Dentistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Thamyres Campos Fonsêca
- Department of Oral Diagnosis and Pathology, School of Dentistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Estela Kaminagakura
- Department of Biosciences and Oral Diagnosis, Institute of Science and Technology, São Paulo State University (Unesp), São José dos Campos, Brazil
| | - Ana Lia Anbinder
- Department of Biosciences and Oral Diagnosis, Institute of Science and Technology, São Paulo State University (Unesp), São José dos Campos, Brazil
| | - Kamilla Santos Alves
- Department of Biosciences and Oral Diagnosis, Institute of Science and Technology, São Paulo State University (Unesp), São José dos Campos, Brazil
| | - Maria Leticia de Almeida Lança
- Department of Biosciences and Oral Diagnosis, Institute of Science and Technology, São Paulo State University (Unesp), São José dos Campos, Brazil
| | | | | | | | - Saray Aranda Romo
- Facultad de Estomatología, Universidad Autónoma de San Luis de Potosí, San Luis Potosi, Mexico
| | | | | | | | | | - Raiza Toro
- Instituto de Investigaciones Odontológicas, Facultad de Odontología, Universidad Central de Venezuela, Caracas, Venezuela
| | - Felipe Martins Silveira
- Oral Medicine and Oral Pathology Diagnosis Department, Facultad de Odontología, Universidad de la República UDELAR, Montevideo, Uruguay
| | - Natalia Gonzalez
- Oral Medicine and Oral Pathology Diagnosis Department, Facultad de Odontología, Universidad de la República UDELAR, Montevideo, Uruguay
| | - Pablo Agustin Vargas
- Oral Diagnosis Department, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil
| | - Alan Roger Santos-Silva
- Oral Diagnosis Department, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil
| | - Ronell Bologna-Molina
- Oral Medicine and Oral Pathology Diagnosis Department, Facultad de Odontología, Universidad de la República UDELAR, Montevideo, Uruguay
| | - Mariana Villarroel-Dorrego
- Instituto de Investigaciones Odontológicas, Facultad de Odontología, Universidad Central de Venezuela, Caracas, Venezuela
| | - Benjamin Martinez
- Oral Pathology Department, Facultad de Odontología, Universidad Mayor de Chile, Santiago de Chile, Chile
| | - Eduardo Piemonte
- Oral Medicine Department "A", Facultad de Odontología, Universidad Nacional de Córdoba, Córdoba, Argentina
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Metsomaa J, Belardinelli P, Ermolova M, Ziemann U, Zrenner C. Causal decoding of individual cortical excitability states. Neuroimage 2021; 245:118652. [PMID: 34687858 DOI: 10.1016/j.neuroimage.2021.118652] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 09/30/2021] [Accepted: 10/11/2021] [Indexed: 10/20/2022] Open
Abstract
Brain responsiveness to stimulation fluctuates with rapidly shifting cortical excitability state, as reflected by oscillations in the electroencephalogram (EEG). For example, the amplitude of motor-evoked potentials (MEPs) elicited by transcranial magnetic stimulation (TMS) of motor cortex changes from trial to trial. To date, individual estimation of the cortical processes leading to this excitability fluctuation has not been possible. Here, we propose a data-driven method to derive individually optimized EEG classifiers in healthy humans using a supervised learning approach that relates pre-TMS EEG activity dynamics to MEP amplitude. Our approach enables considering multiple brain regions and frequency bands, without defining them a priori, whose compound phase-pattern information determines the excitability. The individualized classifier leads to an increased classification accuracy of cortical excitability states from 57% to 67% when compared to μ-oscillation phase extracted by standard fixed spatial filters. Results show that, for the used TMS protocol, excitability fluctuates predominantly in the μ-oscillation range, and relevant cortical areas cluster around the stimulated motor cortex, but between subjects there is variability in relevant power spectra, phases, and cortical regions. This novel decoding method allows causal investigation of the cortical excitability state, which is critical also for individualizing therapeutic brain stimulation.
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Affiliation(s)
- J Metsomaa
- Department of Neurology & Stroke, University of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen
| | - P Belardinelli
- Department of Neurology & Stroke, University of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen; CIMeC, Center for Mind-Brain Sciences, University of Trento, Italy
| | - M Ermolova
- Department of Neurology & Stroke, University of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen
| | - U Ziemann
- Department of Neurology & Stroke, University of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen.
| | - C Zrenner
- Department of Neurology & Stroke, University of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen; Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, and Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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Tepsic S, Gruber G, Møller CB, Magén C, Belardinelli P, Hernández ER, Alijani F, Verlot P, Bachtold A. Interrelation of Elasticity and Thermal Bath in Nanotube Cantilevers. Phys Rev Lett 2021; 126:175502. [PMID: 33988423 DOI: 10.1103/physrevlett.126.175502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 03/16/2021] [Indexed: 06/12/2023]
Abstract
We report the first study on the thermal behavior of the stiffness of individual carbon nanotubes, which is achieved by measuring the resonance frequency of their fundamental mechanical bending modes. We observe a reduction of the Young's modulus over a large temperature range with a slope -(173±65) ppm/K in its relative shift. These findings are reproduced by two different theoretical models based on the thermal dynamics of the lattice. These results reveal how the measured fundamental bending modes depend on the phonons in the nanotube via the Young's modulus. An alternative description based on the coupling between the measured mechanical modes and the phonon thermal bath in the Akhiezer limit is discussed.
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Affiliation(s)
- S Tepsic
- ICFO-Institut De Ciencies Fotoniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels (Barcelona), Spain
| | - G Gruber
- ICFO-Institut De Ciencies Fotoniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels (Barcelona), Spain
| | - C B Møller
- ICFO-Institut De Ciencies Fotoniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels (Barcelona), Spain
| | - C Magén
- Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, 50009 Zaragoza, Spain
- Laboratorio de Microscopías Avanzadas (LMA), Universidad de Zaragoza, 50018 Zaragoza, Spain
| | - P Belardinelli
- DICEA, Polytechnic University of Marche, 60131 Ancona, Italy
| | - E R Hernández
- Instituto de Ciencia de Materiales de Madrid (ICMM-CSIC), 28049 Madrid, Spain
| | - F Alijani
- Department of Precision and Microsystems Engineering, 3ME, Mekelweg 2, (2628 CD) Delft, The Netherlands
| | - P Verlot
- School of Physics and Astronomy-The University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom
| | - A Bachtold
- ICFO-Institut De Ciencies Fotoniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels (Barcelona), Spain
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Belardinelli P, Gordon P, Stenroos M, Metsomaa J, Ermolova M, Zrenner C, Ziemann U. P287 Effects of beamforming-extracted source oscillations on brain-state-dependent TMS. Clin Neurophysiol 2020. [DOI: 10.1016/j.clinph.2019.12.397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Ermolova M, Zrenner C, Metsomaa J, Belardinelli P, Ziemann U. P196 Pre-stimulus EEG-based connectivity predicts the amplitude of TMS evoked motor potentials. Clin Neurophysiol 2020. [DOI: 10.1016/j.clinph.2019.12.307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Topka M, Scholten M, Zrenner C, Belardinelli P, Ziemann U, Weiss D. P57 Investigating the Role of the Primary Motor Cortex in Upper Limb Freezing. Clin Neurophysiol 2020. [DOI: 10.1016/j.clinph.2019.12.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Gordon P, Zrenner B, Dörre S, Belardinelli P, Zrenner C, Ziemann U. Influence of theta phase on EEG synchronized TMS to the dorsolateral prefrontal cortex. Brain Stimul 2019. [DOI: 10.1016/j.brs.2018.12.730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Zrenner B, Gordon P, Kempf A, Belardinelli P, McDermott E, Soekadar S, Fallgatter A, Zrenner C, Ziemann U, Dahlhaus FM. Alpha-synchronized stimulation of the left DLPFC in depression using real-time EEG-triggered TMS. Brain Stimul 2019. [DOI: 10.1016/j.brs.2018.12.753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Zrenner C, Gordon P, Desideri D, Stenroos M, Belardinelli P. Brain-state dependent TMS triggered by individual cortical source activity using online beamforming. Brain Stimul 2019. [DOI: 10.1016/j.brs.2018.12.717] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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König F, Liang C, Desideri D, Möller Dahlhaus F, Gordon P, Zipser C, Zrenner C, Ziemann U, Belardinelli P. TMS-EEG signatures of glutamatergic neurotransmission in the human cortex. Brain Stimul 2019. [DOI: 10.1016/j.brs.2018.12.722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Piemonte E, Lazos J, Belardinelli P, Secchi D, Brunotto M, Lanfranchi-Tizeira H. Oral cancer associated with chronic mechanical irritation of the oral mucosa. Med Oral Patol Oral Cir Bucal 2018; 23:e151-e160. [PMID: 29476673 PMCID: PMC5911359 DOI: 10.4317/medoral.22017] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Accepted: 12/23/2017] [Indexed: 11/10/2022] Open
Abstract
Background Most of the studies dealing with Chronic Mechanical Irritation (CMI) and Oral Cancer (OC) only considered prosthetic and dental variables separately, and CMI functional factors are not registered. Thus, the aim of this study was to assess OC risk in individuals with dental, prosthetic and functional CMI. Also, we examined CMI presence in relation to tumor size. Material and Methods A case-control study was carried out from 2009 to 2013. Study group were squamous cell carcinoma cases; control group was patients seeking dental treatment in the same institution. Results 153 patients were studied (Study group n=53, Control group n=100). CMI reproducibility displayed a correlation coefficient of 1 (p<0.0001). Bivariate analysis showed statistically significant associations for all variables (age, gender, tobacco and alcohol consumption and CMI). Multivariate analysis exhibited statistical significance for age, alcohol, and CMI, but not for gender or tobacco. Relationship of CMI with tumor size showed no statistically significant differences. Conclusions CMI could be regarded as a risk factor for oral cancer. In individuals with other OC risk factors, proper treatment of the mechanical injuring factors (dental, prosthetic and functional) could be an important measure to reduce the risk of oral cancer. Key words:Oral cancer, risk factors, chronic mechanical irritation, tumor size, case-control study.
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Affiliation(s)
- E Piemonte
- Trelew 1142, B Altos de Vélez Sársfield, Zip Code 5016, Córdoba, Argentine,
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Belardinelli P, Desideri D, Zrenner C, Ziemann U. Real-time source-level EEG network activity state triggered TMS with millisecond resolution. Brain Stimul 2017. [DOI: 10.1016/j.brs.2017.01.415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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14
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Desideri D, Belardinelli P, Zrenner C, Ziemann U. Cortico-cortical excitability is influenced by the phase of oscillatory activity at the time of the stimulus. Brain Stimul 2017. [DOI: 10.1016/j.brs.2017.01.435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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15
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Stefanou M, Desideri D, Belardinelli P, Zrenner C, Ziemann U. Interhemispheric communication through neuronal coherence revealed by closed-loop EEG-dual-site-TMS. Brain Stimul 2017. [DOI: 10.1016/j.brs.2017.01.436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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16
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Zrenner C, Belardinelli P, Desideri D, Ziemann U. Phase of brain oscillations determines the direction of induced plasticity in real-time EEG-triggered TMS. Brain Stimul 2017. [DOI: 10.1016/j.brs.2017.01.277] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Király J, Premoli I, Zipser C, Belardinelli P, Ziemann U, Müller-Dahlhaus F. EPV 23. Characterization of GABAA-receptor mediated neurotransmission in the human cortex by paired-pulse TMS-EEG. Clin Neurophysiol 2016. [DOI: 10.1016/j.clinph.2016.05.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Király J, Premoli I, Zipser C, Belardinelli P, Ziemann U, Müller-Dahlhaus F. Characterization of GABAA-receptor mediated neurotransmission in the human cortex by paired-pulse TMS-EEG. Clin Neurophysiol 2016. [DOI: 10.1016/j.clinph.2015.11.146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Zipser C, Premoli I, Castellanos N, Rivolta D, Belardinelli P, Heidegger T, Müller-Dahlhaus F, Ziemann U. ID 300 – Cortical excitability and connectivity in early RRMS using TMS-EEG. Clin Neurophysiol 2016. [DOI: 10.1016/j.clinph.2015.11.414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Király J, Premoli I, Zipser C, Belardinelli P, Ziemann U, Müller-Dahlhaus F. V36. Characterization of GABAA-receptor mediated neurotransmission in the human cortex by paired-pulse TMS-EEG. Clin Neurophysiol 2015. [DOI: 10.1016/j.clinph.2015.04.114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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21
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Premoli I, Perales Castellanos N, Rivolta D, Belardinelli P, Bajo R, Zipser C, Espenhahn S, Heidegger T, Mueller-Dahlhaus F, Ziemann U. P1088: TMS-EEG signatures of GABAergic neurotransmission. Clin Neurophysiol 2014. [DOI: 10.1016/s1388-2457(14)51116-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Piemonte E, Lazos J, Brunotto M, Belardinelli P, Secchi D, Castillo G, Talavera A, Lanfranchi H. OI0375 Multifactorial risk index for oral cancer. Oral Surg Oral Med Oral Pathol Oral Radiol 2014. [DOI: 10.1016/j.oooo.2014.01.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Belardinelli P, Jalava A, Gross J, Kujala J, Salmelin R. Optimal spatial filtering for brain oscillatory activity using the Relevance Vector Machine. Cogn Process 2013; 14:357-69. [PMID: 23729235 DOI: 10.1007/s10339-013-0568-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2013] [Accepted: 05/08/2013] [Indexed: 10/26/2022]
Abstract
Over the past decade, various techniques have been proposed for localization of cerebral sources of oscillatory activity on the basis of magnetoencephalography (MEG) or electroencephalography recordings. Beamformers in the frequency domain, in particular, have proved useful in this endeavor. However, the localization accuracy and efficacy of such spatial filters can be markedly limited by bias from correlation between cerebral sources and short duration of source activity, both essential issues in the localization of brain data. Here, we evaluate a method for frequency-domain localization of oscillatory neural activity based on the relevance vector machine (RVM). RVM is a Bayesian algorithm for learning sparse models from possibly overcomplete data sets. The performance of our frequency-domain RVM method (fdRVM) was compared with that of dynamic imaging of coherent sources (DICS), a frequency-domain spatial filter that employs a minimum variance adaptive beamformer (MVAB) approach. The methods were tested both on simulated and real data. Two types of simulated MEG data sets were generated, one with continuous source activity and the other with transiently active sources. The real data sets were from slow finger movements and resting state. Results from simulations show comparable performance for DICS and fdRVM at high signal-to-noise ratios and low correlation. At low SNR or in conditions of high correlation between sources, fdRVM performs markedly better. fdRVM was successful on real data as well, indicating salient focal activations in the sensorimotor area. The resulting high spatial resolution of fdRVM and its sensitivity to low-SNR transient signals could be particularly beneficial when mapping event-related changes of oscillatory activity.
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Affiliation(s)
- P Belardinelli
- O.V. Lounasmaa Laboratory, Brain Research Unit, Aalto University, Espoo, Finland,
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Belardinelli P, Ciancetta L, Staudt M, Pizzella V, Londei A, Birbaumer N, Romani GL, Braun C. Motor control in young patients with unilateral brain lesions: an MEG study. Cogn Process 2010; 10 Suppl 2:S185-8. [PMID: 19693562 DOI: 10.1007/s10339-009-0282-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- P Belardinelli
- Low Temperature Laboratory, Brain Research Unit, Helsinki University of Technology, Helsinki, Finland.
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Belardinelli P, Jalava A, Gross J, Kujala J, Salmelin R. Localizing Brain Oscillatory Activity by means of Relevance Vector Machine. Neuroimage 2009. [DOI: 10.1016/s1053-8119(09)71787-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Brunetti M, Della Penna S, Ferretti A, Del Gratta C, Cianflone F, Belardinelli P, Caulo M, Pizzella V, Olivetti Belardinelli M, Romani GL. A frontoparietal network for spatial attention reorienting in the auditory domain: a human fMRI/MEG study of functional and temporal dynamics. Cereb Cortex 2007; 18:1139-47. [PMID: 17720687 DOI: 10.1093/cercor/bhm145] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Several studies have identified a supramodal network critical to the reorienting of attention toward stimuli at novel locations and which involves the right temporoparietal junction and the inferior frontal areas. The present functional magnetic resonance imaging (fMRI)\magnetoencephalography (MEG) study investigates: 1) the cerebral circuit underlying attentional reorienting to spatially varying sound locations; 2) the circuit related to the regular change of sound location in the same hemifield, the change of sound location across hemifields, or sounds presented randomly at different locations on the azimuth plane; 3) functional temporal dynamics of the observed cortical areas exploiting the complementary characteristics of the fMRI and MEG paradigms. fMRI results suggest 3 distinct roles: the supratemporal plane appears modulated by variations of sound location; the inferior parietal lobule is modulated by the cross-meridian effect; and the inferior frontal cortex is engaged by the inhibition of a motor response. MEG data help to elucidate the temporal dynamics of this network by providing high-resolution time series with which to measure latency of neural activation manipulated by the reorienting of attention.
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Affiliation(s)
- M Brunetti
- Institute of Advanced Biomedical Technologies, University G.D'Annunzio of Chieti, Via dei Vestini, 33, 66013 Chieti (CH), Italy.
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Belardinelli P, Ciancetta L, Staudt M, Pizzella V, Londei A, Birbaumer N, Romani GL, Braun C. Cerebro-muscular and cerebro-cerebral coherence in patients with pre- and perinatally acquired unilateral brain lesions. Neuroimage 2007; 37:1301-14. [PMID: 17669666 DOI: 10.1016/j.neuroimage.2007.05.053] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2007] [Revised: 04/24/2007] [Accepted: 05/25/2007] [Indexed: 11/20/2022] Open
Abstract
The cerebral networks involved in motor control were analyzed in four young hemi-paretic patients (21-25 years) with pre- and perinatally acquired brain lesions (3 with left periventricular brain lesions, 1 with left schizencephaly) by means of MEG source coherence analysis. Previous TMS and fMRI studies on the same patients had investigated their residual ability to move the paretic hand by means of a reorganized primary motor cortex (M1) representation in the contralesional hemisphere. The purpose of this study is to identify the effects of such a cerebral reorganization and the related dynamic aspects which allow the patients to move the paretic arm. Patients underwent a pinch grip task (1-N isometric contraction) using their paretic and non-paretic hands in alternation. MEG signals were recorded using a whole-head 151-channel magnetoencephalograph. EMG was simultaneously recorded as a reference for coherence calculations. 3D coherence mapping was performed in the beta frequency range (14-30 Hz). This approach confirmed the relocation of motor functions from the lesioned (left) to the contralesional (right) hemisphere. In case of left, non-paretic pinch grip, coherent activity originated from contralateral (right) M1 exclusively. In the case of right (paretic) grip, coherent activity in ipsilateral M1 as well as significant coherence of ipsilateral cerebellum with both muscle activity and M1 itself was detected in 3 out of 4 subjects. As expected, the patient with no cerebellar involvement during paretic hand contraction showed the worst motor performance in the grip task. Coupling direction analysis demonstrated that throughout pinch grip the coupling direction goes from M1 to cerebellum. The present study verified the assumption that the intact hemisphere takes over motor control from the paretic (ipsilateral) hand in the presence of early unilateral brain lesion. Moreover, the role of cerebellum in motor deficit compensation and its close interaction with ipsilateral primary motor cortex was studied in detail.
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Affiliation(s)
- P Belardinelli
- Institute for Advanced Biomedical Technologies, G. D'Annunzio University Foundation, Chieti, Italy, and Department of Pediatric Neurology and Child Development, University Children's Hospital, Germany.
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Belardinelli P, Ciancetta L, Pizzella V, Del Gratta C, Romani GL. Localizing complex neural circuits with MEG data. Cogn Process 2006; 7:53-9. [PMID: 16628466 DOI: 10.1007/s10339-005-0024-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2005] [Revised: 11/14/2005] [Accepted: 11/15/2005] [Indexed: 10/25/2022]
Abstract
During cognitive processing, the various cortical areas, with specialized functions, supply for different tasks. In most cases then, the information flows are processed in a parallel way by brain networks which work together integrating the single performances for a common goal. Such a step is generally performed at higher processing levels in the associative areas. The frequency range at which neuronal pools oscillate is generally wider than the one which is detectable by bold changes in fMRI studies. A high time resolution technique like magnetoencephalography or electroencephalography is therefore required as well as new data processing algorithms for detecting different coherent brain areas cooperating for one cognitive task. Our experiments show that no algorithm for the inverse problem solution is immune from bias. We propose therefore, as a possible solution, our software LOCANTO (LOcalization and Coherence ANalysis TOol). This new package features a set of tools for the detection of coherent areas. For such a task, as a default, it employs the algorithm with best performances for the neural landscape to be detected. If the neural landscape under attention involves more than two interacting areas the SLoreta algorithm is used. Our study shows in fact that SLoreta performance is not biased when the correlation among multiple sources is high. On the other hand, the Beamforming algorithm is more precise than SLoreta at localizing single or double sources but it gets a relevant localization bias when the sources are more than three and are highly correlated.
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Brunetti M, Belardinelli P, Caulo M, Del Gratta C, Della Penna S, Ferretti A, Lucci G, Moretti A, Pizzella V, Tartaro A, Torquati K, Olivetti Belardinelli M, Romani GL. Human brain activation during passive listening to sounds from different locations: an fMRI and MEG study. Hum Brain Mapp 2006; 26:251-61. [PMID: 15954141 PMCID: PMC6871706 DOI: 10.1002/hbm.20164] [Citation(s) in RCA: 82] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Recent animal and human studies indicate the existence of a neural pathway for sound localization, which is similar to the "where" pathway of the visual system and distinct from the sound identification pathway. This study sought to highlight this pathway using a passive listening protocol. We employed fMRI to study cortical areas, activated during the processing of sounds coming from different locations, and MEG to disclose the temporal dynamics of these areas. In addition, the hypothesis of different activation levels in the right and in the left hemispheres, due to hemispheric specialization of the human brain, was investigated. The fMRI results indicate that the processing of sound, coming from different locations, activates a complex neuronal circuit, similar to the sound localization system described in monkeys known as the auditory "where" pathway. This system includes Heschl's gyrus, the superior temporal gyrus, the supramarginal gyrus, and the inferior and middle frontal lobe. The MEG analysis allowed assessment of the timing of this circuit: the activation of Heschl's gyrus was observed 139 ms after the auditory stimulus, the peak latency of the source located in the superior temporal gyrus was at 156 ms, and the inferior parietal lobule and the supramarginal gyrus peaked at 162 ms. Both hemispheres were found to be involved in the processing of sounds coming from different locations, but a stronger activation was observed in the right hemisphere.
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Affiliation(s)
- M Brunetti
- Institute of Advanced Biomedical Technologies, University of Chieti, Chieti, Italy.
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