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Martínez-Molina MP, Valdebenito-Oyarzo G, Soto-Icaza P, Zamorano F, Figueroa-Vargas A, Carvajal-Paredes P, Stecher X, Salinas C, Valero-Cabré A, Polania R, Billeke P. Lateral prefrontal theta oscillations causally drive a computational mechanism underlying conflict expectation and adaptation. Nat Commun 2024; 15:9858. [PMID: 39543128 PMCID: PMC11564697 DOI: 10.1038/s41467-024-54244-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Accepted: 11/01/2024] [Indexed: 11/17/2024] Open
Abstract
Adapting our behavior to environmental demands relies on our capacity to perceive and manage potential conflicts within our surroundings. While evidence implicates the involvement of the lateral prefrontal cortex and theta oscillations in detecting conflict stimuli, their causal role in conflict expectation remains elusive. Consequently, the exact computations and neural mechanisms underlying these cognitive processes still need to be determined. We employed an integrative approach involving cognitive computational modeling, fMRI, TMS, and EEG to establish a causal link between oscillatory brain function, its neurocomputational role, and the resulting conflict processing and adaptation behavior. Our results reveal a computational process underlying conflict expectation, which correlates with BOLD-fMRI and theta activity in the superior frontal gyrus (SFG). Modulation of theta activity via rhythmic TMS applied over the SFG induces endogenous theta activity, which in turn enhances computations associated with conflict expectation. These findings provide evidence for the causal involvement of SFG theta activity in learning and allocating cognitive resources to address forthcoming conflict stimuli.
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Affiliation(s)
- María Paz Martínez-Molina
- Laboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social, (neuroCICS), Facultad de Gobierno, Universidad del Desarrollo, Santiago, Chile
| | - Gabriela Valdebenito-Oyarzo
- Laboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social, (neuroCICS), Facultad de Gobierno, Universidad del Desarrollo, Santiago, Chile
| | - Patricia Soto-Icaza
- Laboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social, (neuroCICS), Facultad de Gobierno, Universidad del Desarrollo, Santiago, Chile
| | - Francisco Zamorano
- Unidad de Neuroimágenes Cuantitativas avanzadas (UNICA), Departamento de Imágenes, Clínica Alemana, Santiago, Chile
- Facultad de Ciencias para el Cuidado de la Salud, Campus Los Leones, Universidad San Sebastián, Santiago, Chile
| | - Alejandra Figueroa-Vargas
- Laboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social, (neuroCICS), Facultad de Gobierno, Universidad del Desarrollo, Santiago, Chile
- Laboratory for Cognitive and Evolutionary Neuroscience, Centro de Neurociencia Interdisciplinario, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Patricio Carvajal-Paredes
- Laboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social, (neuroCICS), Facultad de Gobierno, Universidad del Desarrollo, Santiago, Chile
| | - Ximena Stecher
- Departamento de Imágenes, Facultad de Medicina Clínica Alemana-Universidad del Desarrollo, Santiago, Chile
| | - César Salinas
- Departamento de Imágenes, Facultad de Medicina Clínica Alemana-Universidad del Desarrollo, Santiago, Chile
| | - Antoni Valero-Cabré
- Causal Dynamics, Plasticity and Rehabilitation Group, FRONTLAB team, Institut du Cerveau et de la Moelle Epinière (ICM), CNRS UMR 7225, INSERM U 1127 and Sorbonne Université, Paris, France
- Laboratory for Cerebral Dynamics Plasticity and Rehabilitation, School of Medicine, Boston University, Boston, MA, USA
- Cognitive Neuroscience and Information Technology Research Program, Open University of Catalonia (UOC), Barcelona, Spain
| | - Rafael Polania
- Decision Neuroscience Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Pablo Billeke
- Laboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social, (neuroCICS), Facultad de Gobierno, Universidad del Desarrollo, Santiago, Chile.
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Lányi O, Koleszár B, Schulze Wenning A, Balogh D, Engh MA, Horváth AA, Fehérvari P, Hegyi P, Molnár Z, Unoka Z, Csukly G. Excitation/inhibition imbalance in schizophrenia: a meta-analysis of inhibitory and excitatory TMS-EMG paradigms. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:56. [PMID: 38879590 PMCID: PMC11180212 DOI: 10.1038/s41537-024-00476-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 05/16/2024] [Indexed: 06/19/2024]
Abstract
Cortical excitation-inhibition (E/I) imbalance is a potential model for the pathophysiology of schizophrenia. Previous research using transcranial magnetic stimulation (TMS) and electromyography (EMG) has suggested inhibitory deficits in schizophrenia. In this meta-analysis we assessed the reliability and clinical potential of TMS-EMG paradigms in schizophrenia following the methodological recommendations of the PRISMA guideline and the Cochrane Handbook. The search was conducted in three databases in November 2022. Included articles reported Short-Interval Intracortical Inhibition (SICI), Intracortical Facilitation (ICF), Long-Interval Intracortical Inhibition (LICI) and Cortical Silent Period (CSP) in patients with schizophrenia and healthy controls. Meta-analyses were conducted using a random-effects model. Subgroup analysis and meta-regressions were used to assess heterogeneity. Results of 36 studies revealed a robust inhibitory deficit in schizophrenia with a significant decrease in SICI (Cohen's d: 0.62). A trend-level association was found between SICI and antipsychotic medication. Our findings support the E/I imbalance hypothesis in schizophrenia and suggest that SICI may be a potential pathophysiological characteristic of the disorder.
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Affiliation(s)
- Orsolya Lányi
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Boróka Koleszár
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | | | - David Balogh
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Marie Anne Engh
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
| | - András Attila Horváth
- Neurocognitive Research Center, Nyírő Gyula National Institute of Psychiatry and Addictology, Budapest, Hungary
| | - Péter Fehérvari
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
- Department of Biostatistics, University of Veterinary Medicine Budapest, Budapest, Hungary
| | - Péter Hegyi
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
- Institute of Pancreatic Diseases, Semmelweis University, Budapest, Hungary
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Zsolt Molnár
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
- Department of Anesthesiology and Intensive Therapy, Semmelweis University, Budapest, Hungary
- Department of Anesthesiology and Intensive Therapy, Poznan University of Medical Sciences, Poznan, Poland
| | - Zsolt Unoka
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Gábor Csukly
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.
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Lefebvre S, Gehrig G, Nadesalingam N, Nuoffer MG, Kyrou A, Wüthrich F, Walther S. The pathobiology of psychomotor slowing in psychosis: altered cortical excitability and connectivity. Brain 2024; 147:1423-1435. [PMID: 38537253 PMCID: PMC10994557 DOI: 10.1093/brain/awad395] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/23/2023] [Accepted: 11/03/2023] [Indexed: 04/06/2024] Open
Abstract
Psychomotor slowing is a frequent symptom of schizophrenia. Short-interval intracortical inhibition assessed by transcranial magnetic stimulation demonstrated inhibitory dysfunction in schizophrenia. The inhibitory deficit results from additional noise during information processing in the motor system in psychosis. Here, we tested whether cortical inhibitory dysfunction was linked to psychomotor slowing and motor network alterations. In this cross-sectional study, we included 60 patients with schizophrenia and psychomotor slowing determined by the Salpêtrière Retardation Rating Scale, 23 patients without slowing and 40 healthy control participants. We acquired single and double-pulse transcranial magnetic stimulation effects from the left primary motor cortex, resting-state functional connectivity and diffusion imaging on the same day. Groups were compared on resting motor threshold, amplitude of the motor evoked potentials, as well as short-interval intracortical inhibition. Regression analyses calculated the association between motor evoked potential amplitudes or cortical inhibition with seed-based resting-state functional connectivity from the left primary motor cortex and fractional anisotropy at whole brain level and within major motor tracts. In patients with schizophrenia and psychomotor slowing, we observed lower amplitudes of motor evoked potentials, while the short-interval intracortical inhibition/motor evoked potentials amplitude ratio was higher than in healthy controls, suggesting lower cortical inhibition in these patients. Patients without slowing also had lower amplitudes of motor evoked potentials. Across the combined patient sample, cortical inhibition deficits were linked to more motor coordination impairments. In patients with schizophrenia and psychomotor slowing, lower amplitudes of motor evoked potentials were associated with lower fractional anisotropy in motor tracts. Moreover, resting-state functional connectivity between the primary motor cortex, the anterior cingulate cortex and the cerebellum increased with stronger cortical inhibition. In contrast, in healthy controls and patients without slowing, stronger cortical inhibition was linked to lower resting-state functional connectivity between the left primary motor cortex and premotor or parietal cortices. Psychomotor slowing in psychosis is linked to less cortical inhibition and aberrant functional connectivity of the primary motor cortex. Higher neural noise in the motor system may drive psychomotor slowing and thus may become a treatment target.
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Affiliation(s)
- Stephanie Lefebvre
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, 3000 Bern, Switzerland
| | - Gwendolyn Gehrig
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
| | - Niluja Nadesalingam
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, 3000 Bern, Switzerland
| | - Melanie G Nuoffer
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, 3000 Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, 3000 Bern, Switzerland
| | - Alexandra Kyrou
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
| | - Florian Wüthrich
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, 3000 Bern, Switzerland
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, 3000 Bern, Switzerland
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, 3000 Bern, Switzerland
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Zhang L, Li Q, Du Y, Gao Y, Bai T, Ji GJ, Tian Y, Wang K. Effect of high-definition transcranial direct current stimulation on improving depression and modulating functional activity in emotion-related cortical-subcortical regions in bipolar depression. J Affect Disord 2023; 323:570-580. [PMID: 36503046 DOI: 10.1016/j.jad.2022.12.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/09/2022] [Accepted: 12/03/2022] [Indexed: 12/13/2022]
Abstract
Preliminary studies have suggested that transcranial direct current stimulation (tDCS) is effective for bipolar depression, However, brain correlates of the depression alleviating are unclear. To determine the efficacy and safety of tDCS as an add-on treatment for patients with bipolar depression and further to identify the effect of tDCS on the resting-state brain activities, we recruited fifty patients with bipolar depression to complete the double-blind, sham-controlled and randomized clinical trial. Fourteen sessions of tDCS were performed once a day for 14 days. The anode was placed over F3 with return electrodes placed at FP1, FZ, C3 and F7. Regional homogeneity (ReHo) was examined on 50 patients with bipolar depression before and after 14-day active or sham tDCS. Patients in the active group showed significantly superior alleviating the depression symptoms compared with those receiving sham. The active group after 14-day active tDCS showed increased ReHo values in the orbitofrontal cortex and middle frontal gyrus and decreased ReHo values in subcortical structures including hippocampus, parahippocampa gyrus, amygdala, putamen and lentiform nucleus. The reduction of depression severity showed positive correlation of increased ReHo values in the orbitofrontal cortex and middle frontal gyrus and negative correlation of altered ReHo values in the putamen and lentiform. TDCS was an effective and safe add-on intervention for this small bipolar depression sample. The reduction of depression induced by tDCS is associated with a modulation of neural synchronization in the cortical and subcortical structures (ReHo values) within an emotion-related brain network.
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Affiliation(s)
- Li Zhang
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui Province, China; Anhui Mental Health Center, Hefei, Anhui Province, China; Brain Disorders and Neuromodulation Research Centre, Anhui Mental Health Center, Hefei, Anhui Province, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China
| | - Qun Li
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui Province, China; Anhui Mental Health Center, Hefei, Anhui Province, China; Brain Disorders and Neuromodulation Research Centre, Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Yuan Du
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui Province, China; Anhui Mental Health Center, Hefei, Anhui Province, China; Brain Disorders and Neuromodulation Research Centre, Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Yue Gao
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, Anhui Province, China; Anhui Mental Health Center, Hefei, Anhui Province, China; Brain Disorders and Neuromodulation Research Centre, Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Tongjian Bai
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230022, China
| | - Gong-Jun Ji
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230022, China; Department of Medical Psychology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Yanghua Tian
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230022, China; Department of Neurology, First Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui Province, China.
| | - Kai Wang
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230022, China; Department of Medical Psychology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Department of Neurology, First Hospital of Anhui Medical University, 218 Jixi Road, Hefei, Anhui Province, China.
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