{"data":{"id":"10.5061/dryad.pzgmsbd12","type":"dois","attributes":{"doi":"10.5061/dryad.pzgmsbd12","prefix":"10.5061","suffix":"dryad.pzgmsbd12","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Yadav, Shubham","nameType":"Personal","givenName":"Shubham","familyName":"Yadav","affiliation":["Massachusetts Institute of Technology"],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-4826-4550","nameIdentifierScheme":"ORCID"}]},{"name":"X. Lee, Ray","nameType":"Personal","givenName":"Ray","familyName":"X. Lee","affiliation":["Massachusetts Institute of Technology"],"nameIdentifiers":[]},{"name":"N. Kajale, Shivam","nameType":"Personal","givenName":"Shivam","familyName":"N. Kajale","affiliation":["Massachusetts Institute of Technology"],"nameIdentifiers":[]},{"name":"Joy, Baju","nameType":"Personal","givenName":"Baju","familyName":"Joy","affiliation":["Massachusetts Institute of Technology"],"nameIdentifiers":[]},{"name":"Saha, Monochura","nameType":"Personal","givenName":"Monochura","familyName":"Saha","affiliation":["Massachusetts Institute of Technology"],"nameIdentifiers":[]},{"name":"Patel, Preet","nameType":"Personal","givenName":"Preet","familyName":"Patel","affiliation":["Massachusetts Institute of Technology"],"nameIdentifiers":[]},{"name":"Bull, Loey","nameType":"Personal","givenName":"Loey","familyName":"Bull","affiliation":["Wellesley College"],"nameIdentifiers":[]},{"name":"Cao, Sarah","nameType":"Personal","givenName":"Sarah","familyName":"Cao","affiliation":["Massachusetts Institute of Technology"],"nameIdentifiers":[]},{"name":"Mitragotri, Samir","nameType":"Personal","givenName":"Samir","familyName":"Mitragotri","affiliation":["Harvard University","Wyss Institute for Biologically Inspired Engineering"],"nameIdentifiers":[]},{"name":"Bono, David","nameType":"Personal","givenName":"David","familyName":"Bono","affiliation":["Massachusetts Institute of Technology"],"nameIdentifiers":[]},{"name":"Sarkar, Deblina","nameType":"Personal","givenName":"Deblina","familyName":"Sarkar","affiliation":["Massachusetts Institute of Technology"],"nameIdentifiers":[]}],"titles":[{"title":"A non-surgical brain implant enabled through cell-electronics hybrid for focal neuromodulation"}],"publisher":"Dryad","container":{},"publicationYear":2025,"subjects":[{"subject":"Bioelectronics","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"},{"subject":"Neuromodulation","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"},{"subject":"Photovoltaic power","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"},{"subject":"Minimally invasive surgery","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"},{"subject":"FOS: Medical and health sciences","schemeUri":"https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf","subjectScheme":"fos"},{"subject":"FOS: Medical and health sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Nano-technology","schemeUri":"https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf","subjectScheme":"fos"},{"subject":"Organic materials","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"},{"subject":"Nanofabrication","schemeUri":"https://github.com/PLOS/plos-thesaurus","subjectScheme":"PLOS Subject Area Thesaurus"}],"contributors":[],"dates":[{"date":"2025-08-07T11:13:07Z","dateType":"Created"},{"date":"2025-08-07T11:40:51Z","dateType":"Submitted"},{"date":"2025-08-13T00:00:00Z","dateType":"Issued"},{"date":"2025-08-13T00:00:00Z","dateType":"Available"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsCitedBy","relatedIdentifier":"10.1038/s41587-025-02809-3","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["79769321388 bytes"],"formats":[],"version":"8","rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Bioelectronic implants for brain stimulation are used to treat brain\n disorders but require invasive surgery. To provide a non-invasive\n alternative, we report non-surgical implants consisting of immune\n cell–electronics hybrids, an approach we call Circulatronics. The devices\n can be delivered intravenously and traffic autonomously to regions of\n inflammation in brain, where they implant and affect neuromodulation,\n circumventing the need for surgery. To achieve suitable electronics, we\n designed and built subcellular-sized, wireless, photovoltaic electronic\n devices (SWEDs) that harvest optical energy with high power conversion\n efficiency. In mice, we demonstrate non-surgical implantation in inflamed\n brain region as an example of therapeutic target for several neural\n diseases, by employing monocytes as cells, covalently attaching them to\n the SWEDs and administering the resulting hybrids intravenously. We also\n demonstrate neural stimulation with 30 µm precision around the inflamed\n region. Thus, by fusing electronic functionality with the biological\n transport and targeting capabilities of living cells, this technology can\n form the foundation for autonomously implanting bioelectronics.","descriptionType":"Abstract"},{"description":"# A non-surgical brain implant enabled through cell-electronics hybrid for\n focal neuromodulation Dataset DOI:\n [10.5061/dryad.pzgmsbd12](10.5061/dryad.pzgmsbd12) ## Description of the\n data and file structure This dataset contains all files required to\n reproduce the results in the publication “Non-surgical Bioelectronic\n Implant for Targeted Focal Brain Stimulation.” ### Files and variables\n #### File: Data.xlsx **Description:** Source data for figures in the main\n text, extended data, and supplementary figures ##### Variables * The\n following sheets are present in the data.xlsx file - each named and\n corresponding to the source data for the figures * Fig. 2d-h * Fig. 3c,\n Fig. 3g-i * Fig. 4f-g * Fig. 5a-f * Fig. E1 * Fig. E2 * Fig. E3 * Fig. E5\n * Fig. E7 * Fig. E9 * Fig. E10 * Fig. S5 * Fig. S6 * Fig. S9 * Fig. S11\n #### File: Fig2b.zip **Description:** Raw SEM images corresponding to the\n figure #### File: FigE3.zip **Description:** Raw SEM images corresponding\n to the figure #### File: FigE5.zip **Description:** contains raw images\n for Fig. E5d. Additionally, corresponding processed images can be found in\n the following sub-folders: * NCB0184_22_014_crop-MaxIP_crop - processed\n .tiff images for Fig. E5d * NCB0184_22_014_crop-MaxIPcrop_noDAPI\n - processed .tiff images for Fig. E5d #### File: FigE9.zip\n **Description:** Raw data/image as well as processed data/image to\n reproduce the figure  #### File: FigS10.zip **Description:** Raw data in\n text format, matlab code to analyze the data and a processed image\n corresponding to the figure  #### File: FigS13.zip **Description:** matlab\n code used to produce the figure and the associated processed figures\n generated using the code #### File: FigE6.zip **Description:** raw\n data/processed images corresponding to regression analysis (including the\n raw unprocessed images) #### File: FigS12.zip **Description:** raw data in\n .doric fomat (matlab code to process it is present in Fig. E8, or Fig.\n 4h), corresponding processed .mat files for direct usage and the plots\n associated with the figure #### File: FigE8.zip **Description:** raw data\n for the two control datasets in .doric fomat (and an associated matlab\n code to process it), corresponding processed .mat files for direct usage\n and the plots associated with the figure #### File: Fig3.zip\n **Description:** Contains data corresponding to sub-figure panels * Fig.\n 3a - FIB/SEM raw images to reproduce the figure  * Fig. 3b - raw and\n processed images to reproduce the figure  * Fig. 3d-f - contains raw\n images for Fig. 3d, 3e, and 3f. Additionally, processed images can be\n found in the following sub-folders: * Fig. 3d * Fig. 3e * Fig. 3f * Fig.\n 3h - processed figures panels can be found. Additionally, the data\n corresponding to regression analysis (including the raw unprocessed\n images) can be found in the following sub-folder * regressional_analysis *\n Fig. 3i - processed figures panels can be found. Raw/unprocessed data can\n be found in Fig. 3h folder #### File: Fig4.zip **Description:** Contains\n data corresponding to sub-figure panels * Fig. 4b-e - contains folders\n with raw/processed images for Fig. 4b, 4c, 4d, and 4e * Fig. 4b - raw and\n processed images to reproduce the figure  * Fig. 4c - raw and processed\n images to reproduce the figure  * Fig. 4d - raw and processed images to\n reproduce the figure  * Fig. 4e - raw and processed images to reproduce\n the figure  * Fig. 4h - raw data in .doric fomat (and an associated matlab\n code to process it), corresponding processed .mat file and the plots\n associated with the figure #### File: Fig5.zip **Description:** Contains\n data corresponding to sub-figure panels * Fig. 5a - processed figures and\n a sub-folder containing the raw data * Data - contains the video\n recordings, matlab scripts to process the data for the experimental and\n control groups (SY127-131 - 3d control, SY132-136 - 3d expt; SY117-121 -\n 12d control, SY122-126 - 12d expt) * Fig. 5b - processed figures. Raw data\n can be found in Fig. 5a subfolder \"Data\" ## Code/software The\n analyses were performed using MATLAB 2023. All codes and functions are\n provided within the dataset to ensure reproducibility.","descriptionType":"TechnicalInfo"}],"geoLocations":[],"fundingReferences":[{"schemeUri":"https://ror.org","funderName":"NIH Office of the Director","awardNumber":"DP2-HL168072","funderIdentifier":"https://ror.org/00fj8a872","funderIdentifierType":"ROR"},{"funderName":"MIND prize","awardNumber":"112711"},{"schemeUri":"https://ror.org","funderName":"G. Harold \u0026 Leila Y. Mathers Foundation","awardNumber":"MF-2111-02062","funderIdentifier":"https://ror.org/02a7hjv13","funderIdentifierType":"ROR"}],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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  <creators>
    <creator>
      <creatorName nameType="Personal">Yadav, Shubham</creatorName>
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      <creatorName nameType="Personal">X. Lee, Ray</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/042nb2s44" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Massachusetts Institute of Technology</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">N. Kajale, Shivam</creatorName>
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    </creator>
    <creator>
      <creatorName nameType="Personal">Joy, Baju</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/042nb2s44" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Massachusetts Institute of Technology</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Saha, Monochura</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/042nb2s44" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Massachusetts Institute of Technology</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Patel, Preet</creatorName>
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    </creator>
    <creator>
      <creatorName nameType="Personal">Bull, Loey</creatorName>
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    </creator>
    <creator>
      <creatorName nameType="Personal">Cao, Sarah</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/042nb2s44" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Massachusetts Institute of Technology</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Mitragotri, Samir</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/03vek6s52" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Harvard University</affiliation>
      <affiliation affiliationIdentifier="https://ror.org/008cfmj78" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Wyss Institute for Biologically Inspired Engineering</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Bono, David</creatorName>
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    </creator>
    <creator>
      <creatorName nameType="Personal">Sarkar, Deblina</creatorName>
      <affiliation affiliationIdentifier="https://ror.org/042nb2s44" affiliationIdentifierScheme="ROR" schemeURI="https://ror.org">Massachusetts Institute of Technology</affiliation>
    </creator>
  </creators>
  <titles>
    <title>
      A non-surgical brain implant enabled through cell-electronics hybrid for
      focal neuromodulation
    </title>
  </titles>
  <publisher publisherIdentifier="https://ror.org/00x6h5n95" publisherIdentifierScheme="ROR" schemeURI="https://ror.org/">Dryad</publisher>
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    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Bioelectronics</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Neuromodulation</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Photovoltaic power</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Minimally invasive surgery</subject>
    <subject subjectScheme="fos" schemeURI="https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf">FOS: Medical and health sciences</subject>
    <subject subjectScheme="fos" schemeURI="https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf">FOS: Nano-technology</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Organic materials</subject>
    <subject subjectScheme="PLOS Subject Area Thesaurus" schemeURI="https://github.com/PLOS/plos-thesaurus">Nanofabrication</subject>
  </subjects>
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      <funderName>NIH Office of the Director</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/00fj8a872</funderIdentifier>
      <awardNumber>DP2-HL168072</awardNumber>
      <awardTitle/>
    </fundingReference>
    <fundingReference>
      <funderName>MIND prize</funderName>
      <awardNumber>112711</awardNumber>
      <awardTitle/>
    </fundingReference>
    <fundingReference>
      <funderName>G. Harold &amp; Leila Y. Mathers Foundation</funderName>
      <funderIdentifier funderIdentifierType="ROR">https://ror.org/02a7hjv13</funderIdentifier>
      <awardNumber>MF-2111-02062</awardNumber>
      <awardTitle/>
    </fundingReference>
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  <dates>
    <date dateType="Created">2025-08-07T11:13:07Z</date>
    <date dateType="Submitted">2025-08-07T11:40:51Z</date>
    <date dateType="Issued">2025-08-13T00:00:00Z</date>
    <date dateType="Available">2025-08-13T00:00:00Z</date>
  </dates>
  <language>en</language>
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  <descriptions>
    <description descriptionType="Abstract">
      Bioelectronic implants for brain stimulation are used to treat brain
      disorders but require invasive surgery. To provide a non-invasive
      alternative, we report non-surgical implants consisting of immune
      cell–electronics hybrids, an approach we call Circulatronics. The devices
      can be delivered intravenously and traffic autonomously to regions of
      inflammation in brain, where they implant and affect neuromodulation,
      circumventing the need for surgery. To achieve suitable electronics, we
      designed and built subcellular-sized, wireless, photovoltaic electronic
      devices (SWEDs) that harvest optical energy with high power conversion
      efficiency. In mice, we demonstrate non-surgical implantation in inflamed
      brain region as an example of therapeutic target for several neural
      diseases, by employing monocytes as cells, covalently attaching them to
      the SWEDs and administering the resulting hybrids intravenously. We also
      demonstrate neural stimulation with 30 µm precision around the inflamed
      region. Thus, by fusing electronic functionality with the biological
      transport and targeting capabilities of living cells, this technology can
      form the foundation for autonomously implanting bioelectronics.
    </description>
    <description descriptionType="TechnicalInfo">
      # A non-surgical brain implant enabled through cell-electronics hybrid for
      focal neuromodulation Dataset DOI:
      [10.5061/dryad.pzgmsbd12](10.5061/dryad.pzgmsbd12) ## Description of the
      data and file structure This dataset contains all files required to
      reproduce the results in the publication “Non-surgical Bioelectronic
      Implant for Targeted Focal Brain Stimulation.” ### Files and variables
      #### File: Data.xlsx **Description:** Source data for figures in the main
      text, extended data, and supplementary figures ##### Variables * The
      following sheets are present in the data.xlsx file - each named and
      corresponding to the source data for the figures * Fig. 2d-h * Fig. 3c,
      Fig. 3g-i * Fig. 4f-g * Fig. 5a-f * Fig. E1 * Fig. E2 * Fig. E3 * Fig. E5
      * Fig. E7 * Fig. E9 * Fig. E10 * Fig. S5 * Fig. S6 * Fig. S9 * Fig. S11
      #### File: Fig2b.zip **Description:** Raw SEM images corresponding to the
      figure #### File: FigE3.zip **Description:** Raw SEM images corresponding
      to the figure #### File: FigE5.zip **Description:** contains raw images
      for Fig. E5d. Additionally, corresponding processed images can be found in
      the following sub-folders: * NCB0184_22_014_crop-MaxIP_crop - processed
      .tiff images for Fig. E5d * NCB0184_22_014_crop-MaxIPcrop_noDAPI
      - processed .tiff images for Fig. E5d #### File: FigE9.zip
      **Description:** Raw data/image as well as processed data/image to
      reproduce the figure  #### File: FigS10.zip **Description:** Raw data in
      text format, matlab code to analyze the data and a processed image
      corresponding to the figure  #### File: FigS13.zip **Description:** matlab
      code used to produce the figure and the associated processed figures
      generated using the code #### File: FigE6.zip **Description:** raw
      data/processed images corresponding to regression analysis (including the
      raw unprocessed images) #### File: FigS12.zip **Description:** raw data in
      .doric fomat (matlab code to process it is present in Fig. E8, or Fig.
      4h), corresponding processed .mat files for direct usage and the plots
      associated with the figure #### File: FigE8.zip **Description:** raw data
      for the two control datasets in .doric fomat (and an associated matlab
      code to process it), corresponding processed .mat files for direct usage
      and the plots associated with the figure #### File: Fig3.zip
      **Description:** Contains data corresponding to sub-figure panels * Fig.
      3a - FIB/SEM raw images to reproduce the figure  * Fig. 3b - raw and
      processed images to reproduce the figure  * Fig. 3d-f - contains raw
      images for Fig. 3d, 3e, and 3f. Additionally, processed images can be
      found in the following sub-folders: * Fig. 3d * Fig. 3e * Fig. 3f * Fig.
      3h - processed figures panels can be found. Additionally, the data
      corresponding to regression analysis (including the raw unprocessed
      images) can be found in the following sub-folder * regressional_analysis *
      Fig. 3i - processed figures panels can be found. Raw/unprocessed data can
      be found in Fig. 3h folder #### File: Fig4.zip **Description:** Contains
      data corresponding to sub-figure panels * Fig. 4b-e - contains folders
      with raw/processed images for Fig. 4b, 4c, 4d, and 4e * Fig. 4b - raw and
      processed images to reproduce the figure  * Fig. 4c - raw and processed
      images to reproduce the figure  * Fig. 4d - raw and processed images to
      reproduce the figure  * Fig. 4e - raw and processed images to reproduce
      the figure  * Fig. 4h - raw data in .doric fomat (and an associated matlab
      code to process it), corresponding processed .mat file and the plots
      associated with the figure #### File: Fig5.zip **Description:** Contains
      data corresponding to sub-figure panels * Fig. 5a - processed figures and
      a sub-folder containing the raw data * Data - contains the video
      recordings, matlab scripts to process the data for the experimental and
      control groups (SY127-131 - 3d control, SY132-136 - 3d expt; SY117-121 -
      12d control, SY122-126 - 12d expt) * Fig. 5b - processed figures. Raw data
      can be found in Fig. 5a subfolder "Data" ## Code/software The
      analyses were performed using MATLAB 2023. All codes and functions are
      provided within the dataset to ensure reproducibility.
    </description>
  </descriptions>
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