Developing Advanced AI Ecosystems to Enhance Diagnosis and Care for Patients with Depression

Klein, Franziska; Müller-Von Aschwege, Frerk; Elfert, Patrick; Räker, Julien; Philipsen, Alexandra; Braun, Niclas; Selaskowski, Benjamin; Wiebe, Annika; Guth, Matthias; Spallek, Johannes; Seuss, Sigrid; Storey, Benjamin; Geppert, Leo N.; Lück, Ingo; Hein, Andreas

doi:10.3233/shti230731

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…Accordingly, combining EEG and fNIRS could provide a more comprehensive and accurate view of brain activity [147,148]. This multimodal approach, already explored in the field of brain-computer interfaces [149], takes advantage of the high temporal resolution of EEG and the spatial specificity of fNIRS and could potentially improve the effectiveness and efficiency of neurofeedback [150]. Because both EEG and fNIRS are mobile technologies, this multimodal approach is well-suited for use in real-world environments and paves the way for more effective and personalized neurofeedback protocols that could benefit a wider range of users.…”

Section: (A) Advancements In Hardware and Methodologymentioning

confidence: 99%

“…In addition, wearable neurofeedback in telemedicine or telerehabilitation are another exciting prospect, where there are already initial approaches in the EEG field [166,167]. Integration with (mental) health apps and wearables such as smartwatches and the associated tracking of various health metrics enables improved monitoring of a person's well-being [150]. This data could further individualize fNIRS neurofeedback and tailor sessions based on daily activities or physiological states such as physical activity, sleep patterns, and physiological information (e.g., heart rate).…”

Section: (A) Advancements In Hardware and Methodologymentioning

confidence: 99%

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From Lab to Life: Challenges and Perspectives of fNIRS for Hemodynamic-based Neurofeedback in Real-World Environments

Klein,

Kohl,

Lührs

et al. 2023

Preprint

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Neurofeedback allows individuals to monitor and self-regulate their brain activity, potentially improving human brain function. Beyond the traditional electrophysiological approach using primarily electroencephalography (EEG), brain hemodynamics measured with functional magnetic resonance imaging (fMRI) and more recently functional near-infrared spectroscopy (fNIRS) have been used, particularly to improve the spatial specificity of neurofeedback. Over the last years, especially fNIRS has attracted great attention because it offers several advantages over fMRI such as increased user accessibility, cost-effectiveness, and mobility - the latter being the most distinct feature of fNIRS. The next logical step would be to transfer hemodynamic neurofeedback protocols that have already been proven and validated by fMRI to mobile fNIRS. However, this undertaking is not always easy, especially since fNIRS novices may miss important fNIRS-specific methodological challenges. This review is aimed at researchers from different fields who wish exploiting the unique capabilities of fNIRS for neurofeedback. It carefully addresses fNIRS-specific challenges and offers suggestions for possible solutions. If the challenges raised are addressed and further developed, fNIRS could emerge as a useful neurofeedback technique with its own unique application potential - the targeted training of brain activity in real-world environments, thereby significantly expanding the scope and scalability of hemodynamic neurofeedback applications.

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Section: (A) Advancements In Hardware and Methodologymentioning

confidence: 99%

Section: (A) Advancements In Hardware and Methodologymentioning

confidence: 99%

From Lab to Life: Challenges and Perspectives of fNIRS for Hemodynamic-based Neurofeedback in Real-World Environments

Klein,

Kohl,

Lührs

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments

Klein,

Kohl,

Lührs

et al. 2024

Phil. Trans. R. Soc. B

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Neurofeedback allows individuals to monitor and self-regulate their brain activity, potentially improving human brain function. Beyond the traditional electrophysiological approach using primarily electroencephalography, brain haemodynamics measured with functional magnetic resonance imaging (fMRI) and more recently, functional near-infrared spectroscopy (fNIRS) have been used (haemodynamic-based neurofeedback), particularly to improve the spatial specificity of neurofeedback. Over recent years, especially fNIRS has attracted great attention because it offers several advantages over fMRI such as increased user accessibility, cost-effectiveness and mobility—the latter being the most distinct feature of fNIRS. The next logical step would be to transfer haemodynamic-based neurofeedback protocols that have already been proven and validated by fMRI to mobile fNIRS. However, this undertaking is not always easy, especially since fNIRS novices may miss important fNIRS-specific methodological challenges. This review is aimed at researchers from different fields who seek to exploit the unique capabilities of fNIRS for neurofeedback. It carefully addresses fNIRS-specific challenges and offers suggestions for possible solutions. If the challenges raised are addressed and further developed, fNIRS could emerge as a useful neurofeedback technique with its own unique application potential—the targeted training of brain activity in real-world environments, thereby significantly expanding the scope and scalability of haemodynamic-based neurofeedback applications. This article is part of the theme issue ‘Neurofeedback: new territories and neurocognitive mechanisms of endogenous neuromodulation’.

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Developing Advanced AI Ecosystems to Enhance Diagnosis and Care for Patients with Depression

Cited by 2 publications

References 15 publications

From Lab to Life: Challenges and Perspectives of fNIRS for Hemodynamic-based Neurofeedback in Real-World Environments

From Lab to Life: Challenges and Perspectives of fNIRS for Hemodynamic-based Neurofeedback in Real-World Environments

From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments

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