Publications by authors named "Melanie Fried‐Oken"

Article Synopsis
  • Non-pharmacological interventions could improve quality of life for individuals with primary progressive aphasia (PPA) and their caregivers but need more efficacy trials.
  • The Communication Bridge-2 (CB2) trial is the first international, video chat-based randomized controlled trial focusing on speech-language interventions for PPA.
  • The trial successfully recruited and randomized 95 participant dyads across four countries, demonstrating that global recruitment for non-drug trials in this field is feasible and may serve as a model for future research in Alzheimer's and related dementias.
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This research examined values of individuals with neurodegenerative conditions about features of speed and accuracy as they consider potential use of augmentative and alternative communication brain-computer interface systems (AAC-BCI). Sixty-six individuals with neurodegenerative disease responded to prompts about six hypothetical ethical vignettes. Data were analyzed with qualitative content analysis.

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The 10th International Brain Computer Interface (BCI) Society Meeting, 'Balancing Innovation and Translation', was held from the 6th to 9th of June 2023 in Brussels, Belgium. This report provides a summary of the workshop 'Building Consensus on Clinical Outcome Assessments (COAs) for BCI Devices'. This workshop was intended to give participants an overview of the current state of BCI, future opportunities, and how different countries and regions provide regulatory oversight to support the BCI community to develop safe and effective devices for patients.

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Article Synopsis
  • Smart Predict is a new two-tablet app designed to enhance communication for users of augmentative and alternative communication (AAC) devices by allowing real-time vocabulary support from partners.
  • The system comprises an AAC User app and a Partner app, both used with Android tablets or phones that have Bluetooth, and was tested to improve message efficiency in users who rely on switch scanning for typing.
  • Research showed that using Smart Predict led to faster communication, higher user satisfaction, and reduced perceived effort during conversations, suggesting it's a promising feature for future smart AAC technologies.
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Purpose: Primary progressive aphasia (PPA) is a clinical neurodegenerative dementia syndrome characterized by early, selective, and progressive language impairment. PPA onset is gradual, providing time to potentially identify additional or alternative expressive communication modes; however, reports of communication mode use and effectiveness by persons with PPA have not been described. This study characterized the use, frequency, and perceived effectiveness of communication modes reported by individuals with PPA.

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Purpose: The objective of this study was to explore and describe current trends in the augmentative and alternative communication (AAC) use and service delivery experiences of people with amyotrophic lateral sclerosis (PALS) in the U.S.

Methods: Cross-sectional data were collected from 216 PALS an anonymous online questionnaire in 2021.

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Purpose: To examine the views of individuals with neurodegenerative diseases about ethical issues related to incorporating personalized language models into brain-computer interface (BCI) communication technologies.

Methods: Fifteen semi-structured interviews and 51 online free response surveys were completed with individuals diagnosed with neurodegenerative disease that could lead to loss of speech and motor skills. Each participant responded to questions after six hypothetical ethics vignettes were presented that address the possibility of building language models with personal words and phrases in BCI communication technologies.

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Unlabelled: Augmentative and alternative communication brain-computer interface (AAC-BCI) systems are intended to offer communication access to people with severe speech and physical impairment (SSPI) without requiring volitional movement. As the field moves toward clinical implementation of AAC-BCI systems, research involving participants with SSPI is essential. Research has demonstrated variability in AAC-BCI system performance across users, and mixed results for comparisons of performance for users with and without disabilities.

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Background: Brain-computer interface (BCI) systems are controlled by users through neurophysiological input for a variety of applications, including communication, environmental control, and motor rehabilitation. Although individuals with severe speech and physical impairment are the primary users of this technology, BCIs have emerged as a potential tool for broader populations, including delivering cognitive training/interventions with neurofeedback (NFB).

Methods: This paper describes the development and preliminary testing of a protocol for use of a BCI system with NFB as an intervention for people with mild Alzheimer's disease (AD).

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Background: Primary progressive aphasia (PPA) is a clinical dementia syndrome. Impairments in language (speaking, reading, writing, and understanding) are the primary and persistent symptoms. These impairments progress insidiously and devastate communication confidence, participation, and quality of life for persons living with PPA.

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Error related potentials (ErrP), which are elicited in the EEG in response to a perceived error, have been used for error correction and adaption in the event related potential (ERP)-based brain computer interfaces designed for typing. In these typing interfaces, ERP evidence is collected in response to a sequence of stimuli presented usually in the visual form and the intended user stimulus is probabilistically inferred (stimulus with highest probability) and presented to the user as the decision. If the inferred stimulus is incorrect, ErrP is expected to be elicited in the EEG.

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Article Synopsis
  • Access to communication for individuals with late-stage ALS is crucial, especially when they have limited movement and visual impairments that hinder traditional eye tracking and BCI systems.
  • This study examined the effectiveness of modified eye tracking and SSVEP BCI using a Shuffle Speller typing interface with two participants who faced these challenges.
  • Results showed improved typing performance with the Shuffle Speller interface, achieving up to 89% accuracy with BCI for one participant, highlighting the potential of these technologies while also indicating the need for further development to enhance consistency and accuracy in communication.
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Many brain-computer interfaces (BCIs) for people with severe disabilities present stimuli in the visual modality with little consideration of the visual skills required for successful use. The primary objective of this tutorial is to present researchers and clinical professionals with basic information about the visual skills needed for functional use of visual BCIs, and to offer modifications that would render BCI technology more accessible for persons with vision impairments. First, we provide a background on BCIs that rely on a visual interface.

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Brain computer interfaces (BCIs) are one of the developing technologies, serving as a communication interface for people with neuromuscular disorders. Electroencephalography (EEG) and gaze signals are among the commonly used inputs for the user intent classification problem arising in BCIs. Fusing different types of input modalities, i.

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Article Synopsis
  • * There are problems with availability and reliability of access options, leading to frustration or limited usability under optimal conditions only.
  • * The paper advocates for the urgent need for new technology solutions and improvement of existing ones to enhance access efficiency, accuracy, and user comfort, particularly for adults with acquired neurological conditions.
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The field of augmentative and alternative communication (AAC) has witnessed significant changes since its inception. AAC services are now considered for a much greater number of individuals with complex communication needs and there are many more AAC options available as communication supports, including a proliferation of technologies. The scope and options for communication within society have increased substantially to include a wide array of digital and social media.

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Article Synopsis
  • Much BCI research aims to help people with disabilities (PWD), but including them in studies is still uncommon.
  • Analysis of International BCI Meetings from 1999 to 2016 showed that participation from PWD declined over time, with only 22% of studies actually including these individuals.
  • There's a need for better research practices, like participatory action and user-centered design strategies, to close the gap between BCI development and real-world applications for PWD.
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Primary progressive aphasia (PPA) is a neurodegenerative syndrome characterized by insidious language deterioration. This young-onset disorder leaves adults with reduced communication skills for participation in social activities. There is limited evidence regarding group treatment for individuals with PPA, though the principles of chronic aphasia groups can be applied to this clinical population.

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Article Synopsis
  • The study assessed how fatigue and drowsiness impacted brain-computer interface (BCI) performance among 20 healthy participants over a two-hour period.
  • Self-rated measures indicated increased sleepiness and boredom, while physiological data showed notably decreased P300 amplitude alongside slight increases in alpha power and eye-blink rate.
  • The findings suggest that drowsiness and boredom negatively affect BCI performance, partially linked to diminished P300 amplitude, and imply potential improvements by using physiological feedback or adaptive classifiers.
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Individuals with severe speech and physical impairments may have concomitant visual acuity impairments (VAI) or ocular motility impairments (OMI) impacting visual BCI use. We report on the use of the Shuffle Speller typing interface for an SSVEP BCI copy-spelling task under three conditions: simulated VAI, simulated OMI, and unimpaired vision. To mitigate the effect of visual impairments, we introduce a method that adaptively selects a user-specific trial length to maximize expected information transfer rate (ITR); expected ITR is shown to closely approximate the rate of correct letter selections.

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Approximately 53 million Americans live with a disability. For decades, the National Institutes of Health (NIH) has been conducting and supporting research to discover new ways to minimize disability and enhance the quality of life of people with disabilities. After the passage of the Americans With Disabilities Act, NIH established the National Center for Medical Rehabilitation Research, with the goal of developing and implementing a rehabilitation research agenda.

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Approximately 53 million Americans live with a disability. For decades, the National Institutes of Health (NIH) has been conducting and supporting research to discover new ways to minimize disability and enhance the quality of life of people with disabilities. After the passage of the American With Disabilities Act, the NIH established the National Center for Medical Rehabilitation Research with the goal of developing and implementing a rehabilitation research agenda.

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Approximately 53 million Americans live with a disability. For decades, the National Institutes of Health (NIH) has been conducting and supporting research to discover new ways to minimize disability and enhance the quality of life of people with disabilities. After the passage of the Americans With Disabilities Act, NIH established the National Center for Medical Rehabilitation Research, with the goal of developing and implementing a rehabilitation research agenda.

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