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Bhattacharjee S, Kashyap R, Udupa K, Bashir S, Venkatsubramanian G, Oishi K, Desmond JE, Rapp B, Chen SHA. Alignment of behaviour and tDCS stimulation site induces maximum response: evidence from online tDCS and ERP. Sci Rep 2024; 14:19715. [PMID: 39181919 PMCID: PMC11344783 DOI: 10.1038/s41598-024-68691-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 07/26/2024] [Indexed: 08/27/2024] Open
Abstract
tDCS modulates the activity of the neuronal networks to induce the desired behavioural changes. Two factors determine its effectiveness- (1) whether the network being stimulated is relevant to the task, and (2) if there is a scope for improvement in behavioral performance. To explore this, both dorsal (sub-lexical) and ventral (lexical) reading networks were stimulated (20 min, 2 mA) in 25 healthy young volunteers. Participants performed two reading tasks with different levels of lexical involvement: word fragment completion tasks (WCT) and word association tasks (WAT), while event-related potentials (ERPs) were recorded simultaneously. The study used a within-subject design over three sessions, comparing various electrode montages targeting the dorsal pathway's left inferior parietal lobule or the ventral reading pathway's left middle temporal lobule, as well as sham stimulation. The impact of tDCS sessions (dorsal, ventral, & sham) and task type (WCT & WAT) on priming effects (primed vs. unprimed) of behavioral performance (accuracy and reaction times), and ERP parameters (N400 amplitudes and latencies) were statistically analyzed.It was found that tDCS modulated the performance of WAT only (a task with a lower priming effect). The failure to modulate WCT (larger priming effect) indicated that tDCS was effective for conditions with room for improvement compared to a task where performance has reached the ceiling. Ventral stimulation enhanced accuracy in the WAT condition and shortened the N400 latency of the priming effect. In contrast, dorsal stimulation delayed the priming effect reaction time in the WAT condition and enhanced the N400 amplitude. To conclude, enhancement in performance due to tDCS occurs when the network (ventral) being stimulated aligns with the cognitive demands of the task and there is a scope for improvement.
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Affiliation(s)
- Sagarika Bhattacharjee
- Department of Neurophysiology, National Institute of Mental Health And Neuro Sciences (NIMHANS), Hosur Road, Bangalore, Karnataka, 560029, India.
- Psychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore.
| | - Rajan Kashyap
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health And Neuro Sciences (NIMHANS), Hosur Road, Bangalore, Karnataka, 560029, India.
| | - Kaviraja Udupa
- Department of Neurophysiology, National Institute of Mental Health And Neuro Sciences (NIMHANS), Hosur Road, Bangalore, Karnataka, 560029, India
| | - Shahid Bashir
- Neuroscience Center, King Fahad Specialist Hospital Dammam, Dammam, Saudi Arabia
| | - Ganesan Venkatsubramanian
- Department of Psychiatry, National Institute of Mental Health And Neuro Sciences (NIMHANS), Bengaluru, India
| | - Kenichi Oishi
- The Johns Hopkins University, School of Medicine, Baltimore, USA
| | - John E Desmond
- The Johns Hopkins University, School of Medicine, Baltimore, USA
| | - Brenda Rapp
- Department of Cognitive Science, The Johns Hopkins University, Baltimore, USA
| | - S H Annabel Chen
- Psychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore
- Centre for Research in Child Development (CRCD), National Institute of Education, Singapore, Singapore
- Lee Kong Chian School of Medicine (LKC Medicine), Nanyang Technological University, Singapore, Singapore
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Jiang Q, Lin J, Li C, Hou Y, Shang H. Gray Matter Abnormalities in Myotonic Dystrophy Type 1: A Voxel-Wise Meta-Analysis. Front Neurol 2022; 13:891789. [PMID: 35873771 PMCID: PMC9301187 DOI: 10.3389/fneur.2022.891789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 05/20/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundA growing number of voxel-based morphometry (VBM) studies have demonstrated widespread gray matter (GM) abnormalities in myotonic dystrophy type 1 (DM1), but the findings are heterogeneous. This study integrated previous VBM studies to identify consistent GM changes in the brains of patients with DM1.MethodsSystematic retrieval was conducted in Web of Science, Pubmed, and Embase databases to identify VBM studies that met the inclusion requirements. Data were extracted. The Seed-based d Mapping with Permutation of Subject Images (SDM-PSI) software was used for meta-analysis of voxel aspects.ResultsA total of eight VBM studies were included, including 176 patients with DM1 and 198 healthy controls (HCs). GM volume in patients with DM1 was extensively reduced compared with HCs, including bilateral rolandic operculum, bilateral posterior central gyrus, bilateral precentral gyrus, right insula, right heschl gyrus, right superior temporal gyrus, bilateral supplementary motor area, bilateral middle cingulate gyrus/paracingulate gyrus, left paracentral lobule, and bilateral caudate nucleus. Meta-regression analysis found that regional GM abnormalities were associated with disease duration and Rey-Osterrieth Complex Figure (ROCF)-recall scores.ConclusionDM1 is not only a disease of muscle injury but also a multisystem disease involving brain motor and neuropsychiatric regions, providing a basis for the pathophysiological mechanism of DM1.
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Pell MD, Sethi S, Rigoulot S, Rothermich K, Liu P, Jiang X. Emotional voices modulate perception and predictions about an upcoming face. Cortex 2022; 149:148-164. [DOI: 10.1016/j.cortex.2021.12.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 09/15/2021] [Accepted: 01/05/2022] [Indexed: 11/26/2022]
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Focality-Oriented Selection of Current Dose for Transcranial Direct Current Stimulation. J Pers Med 2021; 11:jpm11090940. [PMID: 34575717 PMCID: PMC8466113 DOI: 10.3390/jpm11090940] [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: 06/22/2021] [Revised: 09/18/2021] [Accepted: 09/18/2021] [Indexed: 11/30/2022] Open
Abstract
Background: In transcranial direct current stimulation (tDCS), the injected current becomes distributed across the brain areas. The objective is to stimulate the target region of interest (ROI) while minimizing the current in non-target ROIs (the 'focality' of tDCS). For this purpose, determining the appropriate current dose for an individual is difficult. Aim: To introduce a dose-target determination index (DTDI) to quantify the focality of tDCS and examine the dose-focality relationship in three different populations. Method: Here, we extended our previous toolbox i-SATA to the MNI reference space. After a tDCS montage is simulated for a current dose, the i-SATA(MNI) computes the average (over voxels) current density for every region in the brain. DTDI is the ratio of the average current density at the target ROI to the ROI with a maximum value (the peak region). Ideally, target ROI should be the peak region, so DTDI shall range from 0 to 1. The higher the value, the better the dose. We estimated the variation of DTDI within and across individuals using T1-weighted brain images of 45 males and females distributed equally across three age groups: (a) young adults (20 ≤ x ˂ 40 years), (b) mid adults (40 ≤ x ˂ 60 years), and (c) older adults (60 ≤ x ˂ 80 years). DTDI's were evaluated for the frontal montage with electrodes at F3 and the right supraorbital for three current doses of 1 mA, 2 mA, and 3 mA, with the target ROI at the left middle frontal gyrus. Result: As the dose is incremented, DTDI may show (a) increase, (b) decrease, and (c) no change across the individuals depending on the relationship (nonlinear or linear) between the injected tDCS current and the distribution of current density in the target ROI. The nonlinearity is predominant in older adults with a decrease in focality. The decline is stronger in males. Higher current dose at older age can enhance the focality of stimulation. Conclusion: DTDI provides information on which tDCS current dose will optimize the focality of stimulation. The recommended DTDI dose should be prioritized based on the age (>40 years) and sex (especially for males) of an individual. The toolbox i-SATA(MNI) is freely available.
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García AM, Hesse E, Birba A, Adolfi F, Mikulan E, Caro MM, Petroni A, Bekinschtein TA, del Carmen García M, Silva W, Ciraolo C, Vaucheret E, Sedeño L, Ibáñez A. Time to Face Language: Embodied Mechanisms Underpin the Inception of Face-Related Meanings in the Human Brain. Cereb Cortex 2020; 30:6051-6068. [PMID: 32577713 PMCID: PMC7673477 DOI: 10.1093/cercor/bhaa178] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Revised: 04/21/2020] [Accepted: 06/02/2020] [Indexed: 12/18/2022] Open
Abstract
In construing meaning, the brain recruits multimodal (conceptual) systems and embodied (modality-specific) mechanisms. Yet, no consensus exists on how crucial the latter are for the inception of semantic distinctions. To address this issue, we combined electroencephalographic (EEG) and intracranial EEG (iEEG) to examine when nouns denoting facial body parts (FBPs) and nonFBPs are discriminated in face-processing and multimodal networks. First, FBP words increased N170 amplitude (a hallmark of early facial processing). Second, they triggered fast (~100 ms) activity boosts within the face-processing network, alongside later (~275 ms) effects in multimodal circuits. Third, iEEG recordings from face-processing hubs allowed decoding ~80% of items before 200 ms, while classification based on multimodal-network activity only surpassed ~70% after 250 ms. Finally, EEG and iEEG connectivity between both networks proved greater in early (0-200 ms) than later (200-400 ms) windows. Collectively, our findings indicate that, at least for some lexico-semantic categories, meaning is construed through fast reenactments of modality-specific experience.
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Affiliation(s)
- Adolfo M García
- Universidad de San Andrés, B1644BID Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), C1425FQB Buenos Aires, Argentina
- Faculty of Education, National University of Cuyo (UNCuyo), MM5502GKA Mendoza, Argentina
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, 9170020 Santiago, Chile
- Global Brain Health Institute, University of California, CA 94158 San Francisco, USA
| | - Eugenia Hesse
- Universidad de San Andrés, B1644BID Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), C1425FQB Buenos Aires, Argentina
| | - Agustina Birba
- Universidad de San Andrés, B1644BID Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), C1425FQB Buenos Aires, Argentina
| | - Federico Adolfi
- National Scientific and Technical Research Council (CONICET), C1425FQB Buenos Aires, Argentina
| | - Ezequiel Mikulan
- Department of Biomedical and Clinical Sciences “L. Sacco”, University of Milan, 20122 Milan, Italy
| | - Miguel Martorell Caro
- National Scientific and Technical Research Council (CONICET), C1425FQB Buenos Aires, Argentina
| | - Agustín Petroni
- Instituto de Ingeniería Biomédica, Facultad de Ingeniería, Universidad de Buenos Aires, C1063ACV Buenos Aires, Argentina
- Laboratorio de Inteligencia Artificial Aplicada, Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, ICC-CONICET, C1063ACV Buenos Aires, Argentina
| | | | - María del Carmen García
- Programa de Cirugía de Epilepsia, Hospital Italiano de Buenos Aires, C1181ACH, Buenos Aires, Argentina
| | - Walter Silva
- Programa de Cirugía de Epilepsia, Hospital Italiano de Buenos Aires, C1181ACH, Buenos Aires, Argentina
| | - Carlos Ciraolo
- Programa de Cirugía de Epilepsia, Hospital Italiano de Buenos Aires, C1181ACH, Buenos Aires, Argentina
| | - Esteban Vaucheret
- Programa de Cirugía de Epilepsia, Hospital Italiano de Buenos Aires, C1181ACH, Buenos Aires, Argentina
| | - Lucas Sedeño
- National Scientific and Technical Research Council (CONICET), C1425FQB Buenos Aires, Argentina
| | - Agustín Ibáñez
- Universidad de San Andrés, B1644BID Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), C1425FQB Buenos Aires, Argentina
- Global Brain Health Institute, University of California, CA 94158 San Francisco, USA
- Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, 8320000, Santiago, Chile
- Universidad Autónoma del Caribe, 080003, Barranquilla, Colombia
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Bhattacharjee S, Kashyap R, Abualait T, Annabel Chen SH, Yoo WK, Bashir S. The Role of Primary Motor Cortex: More Than Movement Execution. J Mot Behav 2020; 53:258-274. [PMID: 32194004 DOI: 10.1080/00222895.2020.1738992] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
The predominant role of the primary motor cortex (M1) in motor execution is well acknowledged. However, additional roles of M1 are getting evident in humans owing to advances in noninvasive brain stimulation (NIBS) techniques. This review collates such studies in humans and proposes that M1 also plays a key role in higher cognitive processes. The review commences with the studies that have investigated the nature of connectivity of M1 with other cortical regions in light of studies based on NIBS. The review then moves on to discuss the studies that have demonstrated the role of M1 in higher cognitive processes such as attention, motor learning, motor consolidation, movement inhibition, somatomotor response, and movement imagery. Overall, the purpose of the review is to highlight the additional role of M1 in motor cognition besides motor control, which remains unexplored.
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Affiliation(s)
| | - Rajan Kashyap
- Center for Research and Development in Learning (CRADLE), Nanyang Technological University, Singapore
| | - Turki Abualait
- Physical Therapy Department, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Shen-Hsing Annabel Chen
- Lee Kong Chian School of Medicine (LKC Medicine), Nanyang Technological University, Singapore.,Office of Educational Research, National Institute of Education, Nanyang Technological University, Singapore
| | - Woo-Kyoung Yoo
- Department of Physical Medicine and Rehabilitation, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Shahid Bashir
- Neuroscience Center, King Fahad Specialist Hospital Dammam, Dammam, Saudi Arabia.,Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
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