FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4317603857> ?p ?o ?g. }

• W4317603857 abstract "Abstract Closed-loop neuromodulation measures dynamic neural or physiological activity to optimize interventions for clinical and nonclinical behavioral, cognitive, wellness, attentional, or general task performance enhancement. Conventional closed-loop stimulation approaches can contain biased biomarker detection (decoders and error-based triggering) and stimulation-type application. We present and verify a novel deep learning framework for designing and deploying flexible, data-driven, automated closed-loop neuromodulation that is scalable using diverse datasets, agnostic to stimulation technology (supporting multi-modal stimulation: tACS, tDCS, tFUS, TMS), and without the need for personalized ground-truth performance data. Our approach is based on identified periods of responsiveness – detected states that result in a change in performance when stimulation is applied compared to no stimulation. To demonstrate our framework, we acquire, analyze, and apply a data-driven approach to our open sourced GX dataset, which includes concurrent physiological (ECG, EOG) and neuronal (EEG) measures, paired with continuous vigilance/attention-fatigue tracking, and High-Definition transcranial electrical stimulation (HD-tES). Our framework’s decision process for intervention application identified 88.26% of trials as correct applications, showed potential improvement with varying stimulation types, or missed opportunities to stimulate, whereas 11.25% of trials were predicted to stimulate at inopportune times. With emerging datasets and stimulation technologies, our unifying and integrative framework; leveraging deep learning (Convolutional Neural Networks - CNNs); demonstrates the adaptability and feasibility of automated multimodal neuromodulation for both clinical and nonclinical applications." @default.
• W4317603857 created "2023-01-21" @default.
• W4317603857 creator A5027446107 @default.
• W4317603857 creator A5029856778 @default.
• W4317603857 creator A5032013918 @default.
• W4317603857 creator A5076155222 @default.
• W4317603857 creator A5084887008 @default.
• W4317603857 date "2023-01-20" @default.
• W4317603857 modified "2023-10-16" @default.
• W4317603857 title "A Scalable Framework for Closed-Loop Neuromodulation with Deep Learning" @default.
• W4317603857 cites W1925510761 @default.
• W4317603857 cites W1997775229 @default.
• W4317603857 cites W2114168755 @default.
• W4317603857 cites W2115679772 @default.
• W4317603857 cites W2123171443 @default.
• W4317603857 cites W2128495200 @default.
• W4317603857 cites W2143685192 @default.
• W4317603857 cites W2158048307 @default.
• W4317603857 cites W2158394922 @default.
• W4317603857 cites W2268864503 @default.
• W4317603857 cites W2279337033 @default.
• W4317603857 cites W2284684215 @default.
• W4317603857 cites W2329406888 @default.
• W4317603857 cites W2394972785 @default.
• W4317603857 cites W2486024398 @default.
• W4317603857 cites W2566775857 @default.
• W4317603857 cites W2581605628 @default.
• W4317603857 cites W2741907166 @default.
• W4317603857 cites W2760356194 @default.
• W4317603857 cites W2797694788 @default.
• W4317603857 cites W2800244550 @default.
• W4317603857 cites W2801939620 @default.
• W4317603857 cites W2884615982 @default.
• W4317603857 cites W2886040293 @default.
• W4317603857 cites W2886555678 @default.
• W4317603857 cites W2888688605 @default.
• W4317603857 cites W2896984162 @default.
• W4317603857 cites W2899430109 @default.
• W4317603857 cites W2902311118 @default.
• W4317603857 cites W2903380895 @default.
• W4317603857 cites W2907525741 @default.
• W4317603857 cites W2908603469 @default.
• W4317603857 cites W2912707482 @default.
• W4317603857 cites W2917762754 @default.
• W4317603857 cites W2919115771 @default.
• W4317603857 cites W2927492584 @default.
• W4317603857 cites W2927777239 @default.
• W4317603857 cites W2951963925 @default.
• W4317603857 cites W2963355311 @default.
• W4317603857 cites W2994842882 @default.
• W4317603857 cites W3011487486 @default.
• W4317603857 cites W3014991793 @default.
• W4317603857 cites W3016200845 @default.
• W4317603857 cites W3035127016 @default.
• W4317603857 cites W3041058752 @default.
• W4317603857 cites W3046474724 @default.
• W4317603857 cites W3048643622 @default.
• W4317603857 cites W3049582893 @default.
• W4317603857 cites W3081576626 @default.
• W4317603857 cites W3081748802 @default.
• W4317603857 cites W3083716152 @default.
• W4317603857 cites W3090425814 @default.
• W4317603857 cites W3099878876 @default.
• W4317603857 cites W3102455230 @default.
• W4317603857 cites W3103145119 @default.
• W4317603857 cites W3105342897 @default.
• W4317603857 cites W3135561562 @default.
• W4317603857 cites W3136357635 @default.
• W4317603857 cites W3150635270 @default.
• W4317603857 cites W3151694771 @default.
• W4317603857 cites W3154064874 @default.
• W4317603857 cites W3157209438 @default.
• W4317603857 cites W3157269653 @default.
• W4317603857 cites W3160475070 @default.
• W4317603857 cites W3163343958 @default.
• W4317603857 cites W3174334125 @default.
• W4317603857 cites W3186708420 @default.
• W4317603857 cites W3201282232 @default.
• W4317603857 cites W3201299036 @default.
• W4317603857 cites W3202708773 @default.
• W4317603857 cites W3209977923 @default.
• W4317603857 cites W3211307130 @default.
• W4317603857 cites W4200362038 @default.
• W4317603857 cites W4206968992 @default.
• W4317603857 cites W4206977145 @default.
• W4317603857 cites W4210458691 @default.
• W4317603857 cites W4224232147 @default.
• W4317603857 cites W4226083754 @default.
• W4317603857 cites W4280615554 @default.
• W4317603857 cites W4283217248 @default.
• W4317603857 cites W4283396577 @default.
• W4317603857 cites W4283591647 @default.
• W4317603857 cites W4285508994 @default.
• W4317603857 cites W4289528791 @default.
• W4317603857 cites W4290727142 @default.
• W4317603857 cites W4293105349 @default.
• W4317603857 cites W4293762926 @default.
• W4317603857 cites W4300862091 @default.
• W4317603857 cites W4308319079 @default.
• W4317603857 cites W4308885870 @default.

• next