Multimodal pre-screening can predict BCI performance variability: A novel subject-specific experimental scheme.

BACKGROUND: Brain-computer interface (BCI) systems currently lack the required robustness for long-term daily use due to inter- and intra-subject performance variability. In this study, we propose a novel personalized scheme for a multimodal BCI system, primarily using functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG), to identify, predict, and compensate for factors affecting competence-related and interfering factors associated with performance. METHOD: 11 (out of 13 recruited) participants, including five participants with motor deficits, completed four sessions on average. During the training sessions, the subjects performed a short pre-screening phase, followed by three variations of a novel visou-mental (VM) protocol. Features extracted from the pre-screening phase were used to construct predictive platforms using stepwise multivariate linear regression (MLR) models. In the test sessions, we employed a task-correction phase where our predictive models were used to predict the ideal task variation to maximize performance, followed by an interference-correction phase. We then investigated the associations between predicted and actual performances and evaluated the outcome of correction strategies. RESULT: The predictive models resulted in respective adjusted R-squared values of 0.942, 0.724, and 0.939 for the first, second, and third variation of the task, respectively. The statistical analyses showed significant associations between the performances predicted by predictive models and the actual performances for the first two task variations, with rhos of 0.7289 (p-value = 0.011) and 0.6970 (p-value = 0.017), respectively. For 81.82 % of the subjects, the task/workload correction stage correctly determined which task variation provided the highest accuracy, with an average performance gain of 5.18 % when applying the correction strategies. CONCLUSION: Our proposed method can lead to an integrated multimodal predictive framework to compensate for BCI performance variability, particularly, for people with severe motor deficits.

Neurodiversity, Networks, and Narratives: Exploring Intimacy and Expressive Freedom in the Time of Covid-19.

The Narratives of Neurodiversity Network (NNN) is a neurodivergent academic, creative, and educator collective that came together with allies during the Covid-19 pandemic to create a network centred around emerging narratives about neurodiversity and exploring new ways of learning and socialising. The network focuses on exploring the roles of written, spoken, and visual narratives across cultural locations about neuro-atypical experiences in generating improved agency and self-advocacy for those who have been subject to pathologization through neuro-normativity and intersecting oppression. During the last year, widening access to digital platforms has provided a space to explore these issues outside of traditional academic spaces. We run a monthly "Salon," our mixed-media "reading, listening, and watching" group, in an effort to find positive representation within contemporary culture. Discussions have moved beyond mimesis and into a consideration of how narrative and storyworlds can question the supposed naturalness of certain ways of being in and perceiving the world. This article interrogates the network's core principles of nonhierarchical co-production, including the roles of creativity, community, identity, and emancipatory research which were animated by the new techno-social context. We consider the cultural lives of neurodiversity in the West and beyond, including ethical and aesthetic dimensions. We share a faith in the power of storytelling to inform new social identities for neurodivergent people and to inform scientific understandings of atypical cognition. In exploring this, we speak through a porous first-person plural narrator, to unsettle the idea that there is a hegemonic "we" speaking on behalf of all neurodivergent people.

Promotion of Communication Access, Choice, and Agency for Autistic Students.

PURPOSE: Families and professionals often consider augmentative and alternative communication (AAC) a "last resort" for persons with communication challenges; however, speaking autistic adults have reported that they would have benefited from access to AAC as children. This tutorial discusses the history of this "last resort" practice and its perpetuation within the medical model of disability. The tutorial focuses on communication access, choice, and agency for autistic students. METHOD: We provide a brief overview of the AAC community and their preferred terminology, review the history of traditional approaches to research on AAC and autism, and then examine the relationship between disability models and ableism to views of spoken language as a priority of intervention. Studies on this topic are rare, and resisting ableism requires acknowledging and honoring disabled people's experiences and expertise. Therefore, we promote autistic expertise within the framework of evidence-based practice and discuss the experiences of autistic people and spoken language. Finally, we consider the role of the speech-language pathologist (SLP) in assessment and offer autistic-based strategies and recommendations for communication support. CONCLUSIONS: Speaking autistic students who could benefit from AAC may not have access to AAC due to the prioritization of spoken language and lack of awareness of the benefit of AAC. We recommend that SLPs and school-based professionals support and facilitate access, communicative choice, and agency by implementing multimodal communication strategies to include AAC use for autistic students regardless of their spoken language status. Promoting all types of communication and ensuring opportunities for communication across multiple modalities are paramount to a child's agency and self-determination, as is normalization of AAC.

P300 latency jitter and its correlates in people with amyotrophic lateral sclerosis.

OBJECTIVE: People with amyotrophic lateral sclerosis (ALS) can benefit from brain-computer interfaces (BCIs). However, users with ALS may experience significant variations in BCI performance and event-related potential (ERP) characteristics. This study investigated latency jitter and its correlates in ALS. METHODS: Electroencephalographic (EEG) responses were recorded from six people with ALS and nine neurotypical controls. ERP amplitudes and latencies were extracted. Classifier-based latency estimation was used to calculate latency jitter. ERP components and latency jitter were compared between groups using Wilcoxon rank-sum tests. Correlations between latency jitter and each of the clinical measures, ERP features, and performance measures were investigated using Spearman and repeated measures correlations. RESULTS: Latency jitter was significantly increased in participants with ALS and significantly negatively correlated with BCI performance in both ALS and control participants. ERP amplitudes were significantly attenuated in ALS, and significant correlations between ERP features and latency jitter were observed. There was no significant correlation between latency jitter and clinical measures. CONCLUSIONS: Latency jitter is increased in ALS and correlates with both BCI performance and ERP features. SIGNIFICANCE: These results highlight the associations of latency jitter with BCI performance and ERP characteristics and could inform future BCI designs for people with ALS.

Electrical and Hemodynamic Neural Functions in People With ALS: An EEG-fNIRS Resting-State Study.

OBJECTIVE: Amyotrophic lateral sclerosis (ALS) is a complex neurodegenerative disease that causes the progressive loss of voluntary muscle control. Recent studies have reported conflicting results on alterations in resting-state functional brain networks in ALS by adopting unimodal techniques that measure either electrophysiological or vascular-hemodynamic neural functions. However, no study to date has explored simultaneous electrical and vascular-hemodynamic changes in the resting-state brain in ALS. Using complementary multimodal electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) recording and analysis techniques, we explored the underlying multidimensional neural contributions to altered oscillations and functional connectivity in people with ALS. METHODS: 10 ALS patients and 9 age-matched controls underwent multimodal EEG-fNIRS recording in the resting state. Resting-state functional connectivity (RSFC) and power spectra of both modalities in both groups were analyzed and compared statistically. RESULTS: Increased fronto-parietal EEG connectivity in the alpha and beta bands and increased interhemispheric and right intra-hemispheric fNIRS connectivity in the frontal and prefrontal regions were observed in ALS. Frontal, central, and temporal theta and alpha EEG power decreased in ALS, as did parietal and occipital alpha EEG power, while frontal and parietal hemodynamic spectral power increased in ALS. SIGNIFICANCE: These results suggest that electro-vascular disruption in neuronal networks extends to the extra-motor regions in ALS patients, which can ultimately introduce novel neural markers of ALS that can be exploited further as diagnostic and prognostic tools.

Enhancing Communication for People in Late-Stage ALS Using an fNIRS-Based BCI System.

OBJECTIVE: Brain-computer interface (BCI) based communication remains a challenge for people with later-stage amyotrophic lateral sclerosis (ALS) who lose all voluntary muscle control. Although recent studies have demonstrated the feasibility of functional near-infrared spectroscopy (fNIRS) to successfully control BCIs primarily for healthy cohorts, these systems are yet inefficient for people with severe motor disabilities like ALS. In this study, we developed a new fNIRS-based BCI system in concert with a single-trial Visuo-Mental (VM) paradigm to investigate the feasibility of enhanced communication for ALS patients, particularly those in the later stages of the disease. METHODS: In the first part of the study, we recorded data from six ALS patients using our proposed protocol (fNIRS-VM) and compared the results with the conventional electroencephalography (EEG)-based multi-trial P3Speller (P3S). In the second part, we recorded longitudinal data from one patient in the late locked-in state (LIS) who had fully lost eye-gaze control. Using statistical parametric mapping (SPM) and correlation analysis, the optimal channels and hemodynamic features were selected and used in linear discriminant analysis (LDA). RESULTS: Over all the subjects, we obtained an average accuracy of 81.3%±5.7% within comparatively short times (< 4 sec) in the fNIRS-VM protocol relative to an average accuracy of 74.0%±8.9% in the P3S, though not competitive in patients with no substantial visual problems. Our longitudinal analysis showed substantially superior accuracy using the proposed fNIRS-VM protocol (73.2%±2.0%) over the P3S (61.8%±1.5%). SIGNIFICANCE: Our findings indicate the potential efficacy of our proposed system for communication and control for late-stage ALS patients.

Augmentative and Alternative Communication for Speaking Autistic Adults: Overview and Recommendations.

In recent years, technologies used for augmentative and alternative communication (AAC) have seen increasing development and availability. As a result, more and more autistic people are using AAC. With the increased use of AAC by autistic people, research on autism and AAC has also increased. However, the vast majority of this research focuses on nonspeaking autistic children. AAC use by autistic adults and by speaking autistic people has received limited academic attention. Speaking autistic adults often use AAC and many have publicly shared information about their strategies and experiences. In this article, we provide an overview of the speech differences autistic adults choose to support through AAC, including varying difficulties with speech depending on environment and content. We also discuss the technologies and strategies adopted by autistic adults, including free or low-cost tools that are not specific to AAC, mobile technologies, and signed languages or gestures. We explore barriers to AAC use, including a lack of awareness of relevant options, misconceptions about who AAC supports are for, and the cost of dedicated AAC applications or devices. We then provide suggestions for autistic adults, people supporting autistic adults, and researchers. Overall communication-rather than speech-should be prioritized. Mainstream communication technologies can support communication for autistic adults and a variety of tools can support communication across contexts. Further research into the use and effectiveness of AAC for autistic adults is needed, as is research on barriers to AAC use. Lay Summary: What is augmentative and alternative communication?: Augmentative and alternative communication (AAC) describes the ways people communicate without, or in addition to, speech.What do we know about AAC for autistic adults who can speak?: Research on AAC and autism has focused on nonspeaking children. However, autistic adults who use AAC sometimes tell each other about AAC. This community knowledge includes reasons AAC is important, useful AAC strategies, and barriers to AAC use. This article talks about autistic community knowledge about AAC and then makes suggestions.Why is AAC important for autistic adults who can speak?: Autistic adults, including those who talk, may not always be able to meet all their communication needs with speech alone. Autistic people who use speech may experience intermittent, unreliable, and/or insufficient speech.What AAC strategies do speaking autistic adults use?: The three main ways that autistic adults report on using AAC include: (1)Free or low-cost tools that are not specific to AAC (e.g., online chat rooms, text messaging applications, or handwriting).(2)Mobile applications designed for communication support.(3)Signed languages such as American Sign Language.What are some common barriers to AAC use for speaking autistic adults?: Several barriers may prevent AAC use. These include the following: Knowledge of AAC optionsAttitudes about who AAC is useful forBeliefs that the use of AAC should be decreased if a person can speakCost of AAC devices and applications.What are our recommendations to autistic adults who might use AAC and their supporters?: Support autistics in defining their own communication needs, regardless of speech.Evaluate communication goals and match them with system features when making decisions about AAC.Prioritize all communication, not just speech.Explore a variety of options to support communication.Explore low- and no-cost options to support communication. What are some research questions that still need to be answered?: What communication strategies do autistic adults see as effective?What AAC strategies are being used, in what environments, and by whom?What prevents effective AAC use?How can AAC specialists and autistic adults best collaborate to promote and evaluate AAC use?How can communication supports be designed to better meet the needs of autistic adults?