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Bhadra K, Giraud AL, Marchesotti S. Learning to operate an imagined speech Brain-Computer Interface involves the spatial and frequency tuning of neural activity. Commun Biol 2025; 8:271. [PMID: 39979463 PMCID: PMC11842755 DOI: 10.1038/s42003-025-07464-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 01/03/2025] [Indexed: 02/22/2025] Open
Abstract
Brain-Computer Interfaces (BCI) will revolutionize the way people with severe impairment of speech production can communicate. While current efforts focus on training classifiers on vast amounts of neurophysiological signals to decode imagined speech, much less attention has been given to users' ability to adapt their neural activity to improve BCI-control. To address whether BCI-control improves with training and characterize the underlying neural dynamics, we trained 15 healthy participants to operate a binary BCI system based on electroencephalography (EEG) signals through syllable imagery for five consecutive days. Despite considerable interindividual variability in performance and learning, a significant improvement in BCI-control was globally observed. Using a control experiment, we show that a continuous feedback about the decoded activity is necessary for learning to occur. Performance improvement was associated with a broad EEG power increase in frontal theta activity and focal enhancement in temporal low-gamma activity, showing that learning to operate an imagined-speech BCI involves dynamic changes in neural features at different spectral scales. These findings demonstrate that combining machine and human learning is a successful strategy to enhance BCI controllability.
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Affiliation(s)
- Kinkini Bhadra
- Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Anne-Lise Giraud
- Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Université Paris Cité, Institut Pasteur, AP-HP, Inserm, Fondation Pour l'Audition, Institut de l'Audition, IHU reConnect, Paris, France
| | - Silvia Marchesotti
- Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
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Gauld C, Jurek L, Fourneret P. Diversity, epistemic injustice and medicalization. Cortex 2024; 176:234-236. [PMID: 38580533 DOI: 10.1016/j.cortex.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 01/26/2024] [Accepted: 03/11/2024] [Indexed: 04/07/2024]
Abstract
This Viewpoint explores challenges within the neurodiversity framework, with a particular focus on autism, and discusses three critical aspects: the risk of epistemic injustice, the balance between over and undermedicalization, and the terminological complexities associated with the "neuro-" prefix. It underscores the importance of a balanced approach that avoids overmedicalization while providing essential support, addresses concerns about the indiscriminate use of "neurodiverse", questions the terminology on neurodiversity, and suggests considering a broader term like "biopsychosocial diversity". Ultimately, this Viewpoint advocates for a measured approach to neurodiversity, emphasizing historical context and a diverse perspective to foster collaboration between cognitive science and behavior research.
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Affiliation(s)
- Christophe Gauld
- Service de Psychopathologie du Développement de l'Enfant et de l'Adolescent, Hospices Civils de Lyon, France; Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1, France.
| | - Lucie Jurek
- Department of Child and Adolescent Psychiatry, CH le Vinatier, Lyon, France; RESHAPE, Research on Healthcare Performance, U1290 INSERM, Claude Bernard University Lyon 1, Lyon, France
| | - Pierre Fourneret
- Service de Psychopathologie du Développement de l'Enfant et de l'Adolescent, Hospices Civils de Lyon, France; Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS & Université Claude Bernard Lyon 1, France
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Fernyhough C, Borghi AM. Inner speech as language process and cognitive tool. Trends Cogn Sci 2023; 27:1180-1193. [PMID: 37770286 DOI: 10.1016/j.tics.2023.08.014] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/16/2023] [Accepted: 08/22/2023] [Indexed: 09/30/2023]
Abstract
Many people report a form of internal language known as inner speech (IS). This review examines recent growth of research interest in the phenomenon, which has broadly supported a theoretical model in which IS is a functional language process that can confer benefits for cognition in a range of domains. A key insight to have emerged in recent years is that IS is an embodied experience characterized by varied subjective qualities, which can be usefully modeled in artificial systems and whose neural signals have the potential to be decoded through advancing brain-computer interface technologies. Challenges for future research include understanding individual differences in IS and mapping form to function across IS subtypes.
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Affiliation(s)
- Charles Fernyhough
- Department of Psychology and Centre for Research into Inner Experience, Durham University, Durham DH1 3LE, UK.
| | - Anna M Borghi
- Department of Dynamic and Clinical Psychology, and Health Studies, Sapienza University of Rome and Institute of Cognitive Sciences and Technologies, Italian National Research Council, 00185 Rome, Italy
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Music Therapy in Global Aphasia: A Case Report. MEDICINES (BASEL, SWITZERLAND) 2023; 10:medicines10020016. [PMID: 36827216 PMCID: PMC9962669 DOI: 10.3390/medicines10020016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/13/2023] [Accepted: 01/19/2023] [Indexed: 01/26/2023]
Abstract
Patients affected by global aphasia are no longer able to understand, produce, name objects, write and read. It occurs as a result of functional damage of ischemic or hemorrhagic origin affecting the entire peri-silvan region and frontal operculum. Rehabilitation training aims to promote an early intervention in the acute phase. We described a case of a 57-year-old female patient with left intraparenchymal fronto-temporo-parietal cerebral hemorrhage and right hemiplegia. After admission to clinical rehabilitative center, the patient was not able to perform simple orders and she presented a severe impairment of auditory and written comprehension. Eloquence was characterized by stereotypical emission of monosyllabic sounds and showed compromised praxis-constructive abilities. Rehabilitation included a program of Neurologic Music Therapy (NMT), specifically Symbolic Communication Training Through Music (SYCOM) and Musical Speech Stimulation (MUSTIM). Rehabilitative treatment was measured by improved cognitive and language performance of the patient from T0 to T1. Music rehabilitative interventions and continuous speech therapy improve visual attention and communicative intentionality. In order to confirm the effectiveness of data presented, further extensive studies of the sample would be necessary, to assess the real role of music therapy in post-stroke global aphasia.
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Nieberlein L, Rampp S, Gussew A, Prell J, Hartwigsen G. Reorganization and Plasticity of the Language Network in Patients with Cerebral Gliomas. Neuroimage Clin 2023; 37:103326. [PMID: 36736198 PMCID: PMC9926312 DOI: 10.1016/j.nicl.2023.103326] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 12/15/2022] [Accepted: 01/16/2023] [Indexed: 01/19/2023]
Abstract
Language is organized in large-scale networks in the human brain that show a strong potential for flexible interactions and adaptation. Neuroplasticity is the central mechanism that allows such dynamic modulation to changing conditions across the life span and is particularly important for network reorganization after brain lesions. Most studies on language reorganization focused on language recovery after stroke. Yet, a strong degree of adaptive neuroplasticity can also be observed in patients with brain tumors in language-eloquent brain areas. This review discusses key mechanisms for neural reorganization in patients with brain tumors. Our main aim is to elucidate the underlying mechanisms for intra- and interhemispheric plasticity in the language network in these patients. The following reorganization patterns are discussed: 1) Persisting function within the tumor; 2) Reorganization in perilesional regions; 3) Reorganization in a distributed network of the affected hemisphere; 4) Reorganization to the contralesional hemisphere. In this context, we shed light on language-related reorganization patterns in frontal and temporo-parietal areas and discuss their functional relevance. We also address tumor-related changes in structural and functional connectivity between eloquent brain regions. Thereby, we aim to expand the general understanding of the plastic potential of the neural language network and facilitate clinical decision-making processes for effective, function-preserving tumor treatment.
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Affiliation(s)
- Laura Nieberlein
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
| | - Stefan Rampp
- Department of Neurosurgery, University Hospital Halle (Saale), Germany; Department of Neurosurgery, University Hospital Erlangen, Germany
| | - Alexander Gussew
- Department of Medical Physics, University Hospital Halle (Saale), Germany
| | - Julian Prell
- Department of Neurosurgery, University Hospital Halle (Saale), Germany
| | - Gesa Hartwigsen
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Wilhelm Wundt Institute for Psychology, Leipzig University, Germany
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Skipper JI. A voice without a mouth no more: The neurobiology of language and consciousness. Neurosci Biobehav Rev 2022; 140:104772. [PMID: 35835286 DOI: 10.1016/j.neubiorev.2022.104772] [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: 08/16/2021] [Revised: 05/18/2022] [Accepted: 07/05/2022] [Indexed: 11/26/2022]
Abstract
Most research on the neurobiology of language ignores consciousness and vice versa. Here, language, with an emphasis on inner speech, is hypothesised to generate and sustain self-awareness, i.e., higher-order consciousness. Converging evidence supporting this hypothesis is reviewed. To account for these findings, a 'HOLISTIC' model of neurobiology of language, inner speech, and consciousness is proposed. It involves a 'core' set of inner speech production regions that initiate the experience of feeling and hearing words. These take on affective qualities, deriving from activation of associated sensory, motor, and emotional representations, involving a largely unconscious dynamic 'periphery', distributed throughout the whole brain. Responding to those words forms the basis for sustained network activity, involving 'default mode' activation and prefrontal and thalamic/brainstem selection of contextually relevant responses. Evidence for the model is reviewed, supporting neuroimaging meta-analyses conducted, and comparisons with other theories of consciousness made. The HOLISTIC model constitutes a more parsimonious and complete account of the 'neural correlates of consciousness' that has implications for a mechanistic account of mental health and wellbeing.
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Panachakel JT, Ramakrishnan AG. Decoding Covert Speech From EEG-A Comprehensive Review. Front Neurosci 2021; 15:642251. [PMID: 33994922 PMCID: PMC8116487 DOI: 10.3389/fnins.2021.642251] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 03/18/2021] [Indexed: 11/13/2022] Open
Abstract
Over the past decade, many researchers have come up with different implementations of systems for decoding covert or imagined speech from EEG (electroencephalogram). They differ from each other in several aspects, from data acquisition to machine learning algorithms, due to which, a comparison between different implementations is often difficult. This review article puts together all the relevant works published in the last decade on decoding imagined speech from EEG into a single framework. Every important aspect of designing such a system, such as selection of words to be imagined, number of electrodes to be recorded, temporal and spatial filtering, feature extraction and classifier are reviewed. This helps a researcher to compare the relative merits and demerits of the different approaches and choose the one that is most optimal. Speech being the most natural form of communication which human beings acquire even without formal education, imagined speech is an ideal choice of prompt for evoking brain activity patterns for a BCI (brain-computer interface) system, although the research on developing real-time (online) speech imagery based BCI systems is still in its infancy. Covert speech based BCI can help people with disabilities to improve their quality of life. It can also be used for covert communication in environments that do not support vocal communication. This paper also discusses some future directions, which will aid the deployment of speech imagery based BCI for practical applications, rather than only for laboratory experiments.
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Affiliation(s)
- Jerrin Thomas Panachakel
- Medical Intelligence and Language Engineering Laboratory, Department of Electrical Engineering, Indian Institute of Science, Bangalore, India
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Correlations between Dual-Pathway White Matter Alterations and Language Impairment in Patients with Aphasia: A Systematic Review and Meta-analysis. Neuropsychol Rev 2021; 31:402-418. [PMID: 33656701 DOI: 10.1007/s11065-021-09482-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 01/25/2021] [Indexed: 02/06/2023]
Abstract
While converging evidence suggests linguistic roles of white matter tracts, detailed associations between white matter alterations of dual pathways and language abilities remain unknown in aphasic patients. We aimed to verify language functions of dual-pathway tracts from specific domains and investigate the influence of moderators. PubMed, Web of Science, Embase, and CENTRAL were searched for studies published between January 1, 1985 and March 17, 2019. A meta-analysis of 46 studies including 1353 aphasic patients was performed by pooling correlation coefficients between linguistic domains and diffusion metrics of dual-pathway tracts. Among these tracts, the fractional anisotropy (FA) value of the left inferior fronto-occipital fasciculus predominated across most linguistic aspects, showing the strongest correlations with global severity, comprehension, naming and reading ability. The left uncinate fasciculus and inferior longitudinal fasciculus also showed significant FA - comprehension correlations. For syntactic processing, FA values of the left superior longitudinal fasciculus and arcuate fasciculus showed significant positive correlations. Meta-regression revealed no influence of etiology on FA - language correlations, while sex had a moderating effect on the FA - comprehension correlation of the arcuate fasciculus, and age influenced the FA - naming correlation in the superior longitudinal fasciculus. In conclusion, multifunctional characteristics of tracts were revealed in aphasic patients, including broad linguistic associations of the inferior fronto-occipital fasciculus, and repetition and syntactic involvement of the arcuate fasciculus. Language associations of the inferior longitudinal fasciculus and uncinate fasciculus were clarified regarding comprehension subdomains. The insignificant moderating effect of the etiology indicates damage of dual pathways is the common neural mechanism, while sex and age influence the correlation with comprehension and naming ability, respectively, in specific tracts.
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