دورية أكاديمية
Decoding visual information from high-density diffuse optical tomography neuroimaging data.
العنوان: | Decoding visual information from high-density diffuse optical tomography neuroimaging data. |
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المؤلفون: | Tripathy K; Department of Radiology, Washington University School of Medicine, Couch Biomedical Research Building, 4515 McKinley Avenue, 2nd Floor, St. Louis, MO 63110, USA. Electronic address: tripathyk@wustl.edu., Markow ZE; Department of Radiology, Washington University School of Medicine, Couch Biomedical Research Building, 4515 McKinley Avenue, 2nd Floor, St. Louis, MO 63110, USA., Fishell AK; Department of Radiology, Washington University School of Medicine, Couch Biomedical Research Building, 4515 McKinley Avenue, 2nd Floor, St. Louis, MO 63110, USA., Sherafati A; Department of Radiology, Washington University School of Medicine, Couch Biomedical Research Building, 4515 McKinley Avenue, 2nd Floor, St. Louis, MO 63110, USA., Burns-Yocum TM; Department of Radiology, Washington University School of Medicine, Couch Biomedical Research Building, 4515 McKinley Avenue, 2nd Floor, St. Louis, MO 63110, USA., Schroeder ML; Department of Radiology, Washington University School of Medicine, Couch Biomedical Research Building, 4515 McKinley Avenue, 2nd Floor, St. Louis, MO 63110, USA., Svoboda AM; Department of Radiology, Washington University School of Medicine, Couch Biomedical Research Building, 4515 McKinley Avenue, 2nd Floor, St. Louis, MO 63110, USA., Eggebrecht AT; Department of Radiology, Washington University School of Medicine, Couch Biomedical Research Building, 4515 McKinley Avenue, 2nd Floor, St. Louis, MO 63110, USA., Anastasio MA; Department of Bioengineering, University of Illinois, Urbana-Champaign, IL, USA., Schlaggar BL; Kennedy Krieger Institute, Baltimore, MD, USA., Culver JP; Department of Radiology, Washington University School of Medicine, Couch Biomedical Research Building, 4515 McKinley Avenue, 2nd Floor, St. Louis, MO 63110, USA. |
المصدر: | NeuroImage [Neuroimage] 2021 Feb 01; Vol. 226, pp. 117516. Date of Electronic Publication: 2020 Oct 31. |
نوع المنشور: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
اللغة: | English |
بيانات الدورية: | Publisher: Academic Press Country of Publication: United States NLM ID: 9215515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9572 (Electronic) Linking ISSN: 10538119 NLM ISO Abbreviation: Neuroimage Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Orlando, FL : Academic Press, c1992- |
مواضيع طبية MeSH: | Functional Neuroimaging/*methods , Image Processing, Computer-Assisted/*methods , Tomography, Optical/*methods , Visual Perception/*physiology, Adult ; Female ; Humans ; Male ; Middle Aged |
مستخلص: | Background: Neural decoding could be useful in many ways, from serving as a neuroscience research tool to providing a means of augmented communication for patients with neurological conditions. However, applications of decoding are currently constrained by the limitations of traditional neuroimaging modalities. Electrocorticography requires invasive neurosurgery, magnetic resonance imaging (MRI) is too cumbersome for uses like daily communication, and alternatives like functional near-infrared spectroscopy (fNIRS) offer poor image quality. High-density diffuse optical tomography (HD-DOT) is an emerging modality that uses denser optode arrays than fNIRS to combine logistical advantages of optical neuroimaging with enhanced image quality. Despite the resulting promise of HD-DOT for facilitating field applications of neuroimaging, decoding of brain activity as measured by HD-DOT has yet to be evaluated. Objective: To assess the feasibility and performance of decoding with HD-DOT in visual cortex. Methods and Results: To establish the feasibility of decoding at the single-trial level with HD-DOT, a template matching strategy was used to decode visual stimulus position. A receiver operating characteristic (ROC) analysis was used to quantify the sensitivity, specificity, and reproducibility of binary visual decoding. Mean areas under the curve (AUCs) greater than 0.97 across 10 imaging sessions in a highly sampled participant were observed. ROC analyses of decoding across 5 participants established both reproducibility in multiple individuals and the feasibility of inter-individual decoding (mean AUCs > 0.7), although decoding performance varied between individuals. Phase-encoded checkerboard stimuli were used to assess more complex, non-binary decoding with HD-DOT. Across 3 highly sampled participants, the phase of a 60° wide checkerboard wedge rotating 10° per second through 360° was decoded with a within-participant error of 25.8±24.7°. Decoding between participants was also feasible based on permutation-based significance testing. Conclusions: Visual stimulus information can be decoded accurately, reproducibly, and across a range of detail (for both binary and non-binary outcomes) at the single-trial level (without needing to block-average test data) using HD-DOT data. These results lay the foundation for future studies of more complex decoding with HD-DOT and applications in clinical populations. Competing Interests: Declaration of Competing Interest None. (Copyright © 2020. Published by Elsevier Inc.) |
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معلومات مُعتمدة: | K01 MH103594 United States MH NIMH NIH HHS; R01 NS090874 United States NS NINDS NIH HHS; R01 NS109487 United States NS NINDS NIH HHS; U01 EB027005 United States EB NIBIB NIH HHS |
فهرسة مساهمة: | Keywords: Decoding; Functional neuroimaging; High-density diffuse optical tomography; Retinotopy |
تواريخ الأحداث: | Date Created: 20201102 Date Completed: 20210301 Latest Revision: 20221208 |
رمز التحديث: | 20240628 |
مُعرف محوري في PubMed: | PMC8006181 |
DOI: | 10.1016/j.neuroimage.2020.117516 |
PMID: | 33137479 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1095-9572 |
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DOI: | 10.1016/j.neuroimage.2020.117516 |