Conformable polyimide-based μECoGs: Bringing the electrodes closer to the signal source
Open accessAbstract
Structural biocompatibility is a fundamental requirement for chronically stable bioelectronic devices. Newest neurotechnologies are increasingly focused on minimizing the foreign body response through the development of devices that match the mechanical properties of the implanted tissue and mimic its surface composition, often compromising on their robustness. In this study, an analytical approach is proposed to determine the threshold of conformability for polyimide-based electrocorticography devices. A finite element model was used to quantify the depression of the cortex following the application of devices mechanically above or below conformability threshold. Findings were validated in vivo on rat animal models. Impedance measurements were performed for 40 days after implantation to monitor the status of the biotic/abiotic interface with both conformable and non-conformable implants. Multi-unit activity was then recorded for 12 weeks after implantation using the most compliant device type. It can therefore be concluded that conformability is an essential prerequisite for steady and reliable implants which does not only depend on the Young's modulus of the device material: it strongly relies on the relation between tissue curvature at the implantation site and corresponding device's thickness and geometry, which eventually define the moment of inertia and the interactions at the material-tissue interface.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Recent studies have shown that high-density electrocorticography can decode speech representations, allowing words and short sentences to be articulated.
“More recent work has demonstrated the utility of high-density ECoG in decoding neural representations of speech, enabling the articulation of words and short sentences 6,69,99 .”
From The Layer 7 Cortical Interface: A Scalable and Minimally Invasive Brain–Computer Interface Platform (2022) · cites this paper as [69]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The Rat Brain in Stereotaxic Coordinates
Paxinos, G., & Watson, C. (1983) · Elsevier eBooks · doi:10.1016/c2009-0-63235-9 · Cited by 28,585 · see citing works
Response of brain tissue to chronically implanted neural electrodes
Polikov, V. S., Tresco, P. A., & Reichert, W. M. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.08.015 · Cited by 1,896 · see citing works
Dissolvable films of silk fibroin for ultrathin conformal bio-integrated electronics
Kim, D.-H., Viventi, J., Amsden, J. J., Xiao, J., Vigeland, L., Kim, Y.-S., Blanco, J. A., Panilaitis, B., Frechette, E. S., Contreras, D., et al. (2010) · Nature Materials · doi:10.1038/nmat2745 · Cited by 1,721 · see citing works
Electronic dura mater for long-term multimodal neural interfaces
Minev, I. R., Musienko, P., Hirsch, A., Barraud, Q., Wenger, N., Moraud, E. M., Gandar, J., Capogrosso, M., Milekovic, T., Asboth, L., et al. (2015) · Science · doi:10.1126/science.1260318 · Cited by 1,082 · see citing works
NeuroGrid: recording action potentials from the surface of the brain
Khodagholy, D., Gelinas, J. N., Thesen, T., Doyle, W., Devinsky, O., Malliaras, G. G., & Buzsáki, G. (2015) · Nature Neuroscience · doi:10.1038/nn.3905 · Cited by 938 · see citing works
Hodgson, E. K., & Fridovich, I. (1975) · Biochemistry · doi:10.1021/bi00695a010 · Cited by 785 · see citing works
Ultraflexible nanoelectronic probes form reliable, glial scar–free neural integration
Luan, L., Wei, X., Zhao, Z., Siegel, J. J., Potnis, O., Tuppen, C. A., Lin, S. Q., Kazmi, S., Fowler, R. A., Holloway, S., et al. (2017) · Science Advances · doi:10.1126/sciadv.1601966 · Cited by 618 · see citing works
Hassler, C., Boretius, T., & Stieglitz, T. (2011) · Journal of Polymer Science Part B: Polymer Physics · doi:10.1002/polb.22169 · Cited by 501 · see citing works
Self-citationA Conformal, Bio-Interfaced Class of Silicon Electronics for Mapping Cardiac Electrophysiology
Viventi, J., Kim, D., Moss, J. D., Kim, Y., Blanco, J. A., Annetta, N. V., Hicks, A., Xiao, J., Huang, Y., Callans, D. J., et al. (2010) · Science Translational Medicine · doi:10.1126/scitranslmed.3000738 · Cited by 419 · see citing works
Moshayedi, P., Ng, G., Kwok, J. C. F., Yeo, G. S. H., Bryant, C. E., Fawcett, J. W., Franze, K., & Guck, J. R. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.01.038 · Cited by 382 · see citing works
Subbaroyan, J., Martin, D. C., & Kipke, D. R. (2005) · Journal of Neural Engineering · doi:10.1088/1741-2560/2/4/006 · Cited by 368 · see citing works
Chung, J. E., Joo, H. R., Fan, J. L., Liu, D. F., Barnett, A. H., Chen, S., Geaghan-Breiner, C., Karlsson, M. P., Karlsson, M., Lee, K. Y., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.11.002 · Cited by 327 · see citing works
Boehler, C., Oberueber, F., Schlabach, S., Stieglitz, T., & Asplund, M. (2016) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6b13468 · Cited by 203 · see citing works
Self-citationMechanical Properties of Dura Mater from the Rat Brain and Spinal Cord
Maikos, J. T., Elias, R. A. I., & Shreiber, D. I. (2008) · Journal of Neurotrauma · doi:10.1089/neu.2007.0348 · Cited by 168 · see citing works
Spinal Cord Microstimulation Generates Functional Limb Movements in Chronically Implanted Cats
Mushahwar, V. K. (2000) · Experimental Neurology · doi:10.1006/exnr.2000.7381 · Cited by 160 · see citing works
Chronically Implanted Intracranial Electrodes: Tissue Reaction and Electrical Changes
Campbell, A., & Wu, C. (2018) · Micromachines · doi:10.3390/mi9090430 · Cited by 144 · see citing works
Hill, N. J., Lal, T., Schroder, M., Hinterberger, T., Wilhelm, B., Nijboer, F., Mochty, U., Widman, G., Elger, C. E., Schölkopf, B., et al. (2006) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2006.875548 · Cited by 119 · see citing works
Thin films and microelectrode arrays for neuroprosthetics
Ordonez, J., Schuettler, M., Boehler, C., Boretius, T., & Stieglitz, T. (2012) · MRS Bulletin · doi:10.1557/mrs.2012.117 · Cited by 118 · see citing works
Self-citationWellman, S. M., & Kozai, T. D. Y. (2017) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.7b00403 · Cited by 94 · see citing works
Subdural Monitoring in the Evaluation of Children for Epilepsy Surgery
Jayakar, P. A., DUCHOWNY, M. S., & Resnick, T. (1994) · Journal of Child Neurology · doi:10.1177/0883073894009002091 · Cited by 76 · see citing works
Hartman, F. C., LaMuraglia, G. M., Tomozawa, Y., et al. (1975) · Biochemistry · doi:10.1021/bi00695a007 · Cited by 74 · see citing works
The effect of micro-ECoG substrate footprint on the meningeal tissue response
Schendel, A. A., Nonte, M. W., Vokoun, C. R., Richner, T. J., Brodnick, S. K., Atry, F., Frye, S. T., Bostrom, P., Pashaie, R., Thongpang, S., et al. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/4/046011 · Cited by 67 · see citing works
Capillarity induced folding of elastic sheets
Py, C., Reverdy, P. B., Doppler, L., et al. (2009) · The European Physical Journal Special Topics · doi:10.1140/epjst/e2009-00880-4 · Cited by 52 · see citing works
Correlation Structure in Micro-ECoG Recordings is Described by Spatially Coherent Components
Rogers, N., Hermiz, J., Ganji, M., Kaestner, E. J., Kılıç, K., Hossain, L., Thunemann, M., Cleary, D. R., Carter, B. S., Barba, D., et al. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006769 · Cited by 37 · see citing works
Mapping the fine structure of cortical activity with different micro-ECoG electrode array geometries
Wang, X., Gkogkidis, C. A., Iljina, O., Fiederer, L. D. J., Henle, C., Mader, I., Kaminsky, J., Stieglitz, T., Gierthmuehlen, M., & Tonio Ball, A. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa785e · Cited by 36 · see citing works
Self-citationConductive PEDOT Covalently Bound to Transparent FTO Electrodes
Carli, S., Casarin, L., Bergamini, G., et al. (2014) · The Journal of Physical Chemistry C · doi:10.1021/jp412758g · Cited by 34 · see citing works
Self-citationVomero, M., Zucchini, E., Delfino, E., et al. (2018) · Materials · doi:10.3390/ma11122486 · Cited by 33 · see citing works
Self-citationVomero, M., Castagnola, E., Ordonez, J. S., Carli, S., Zucchini, E., Maggiolini, E., Gueli, C., Goshi, N., Ciarpella, F., Cea, C., et al. (2017) · Advanced Biosystems · doi:10.1002/adbi.201700081 · Cited by 32 · see citing works
Self-citationChung, J. E., Joo, H. R., Fan, J. L., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/242693 · Cited by 32 · see citing works
Synchrony surfacing: Epicortical recording of correlated action potentials
Bockhorst, T., Pieper, F., Engler, G., Stieglitz, T., Galindo-Leon, E. E., & Engel, A. K. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14167 · Cited by 25 · see citing works
Self-citationRembado, I., Castagnola, E., Turella, L., Ius, T., Budai, R., Ansaldo, A., Angotzi, G. N., de Bertoldi, F., Ricci, D., Škrap, M., et al. (2016) · International Journal of Neural Systems · doi:10.1142/s0129065716500520 · Cited by 22 · see citing works
Self-citationAchieving Ultra-Conformability With Polyimide-Based ECoG Arrays
Vomero, M., Cruz, M. F. P., Zucchini, E., Shabanian, A., Delfino, E., Carli, S., Fadiga, L., Ricci, D., & Stieglitz, T. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8513171 · Cited by 13 · see citing works
Self-citationMonoanion inhibition and chlorine-35 nuclear magnetic resonance studies of renal dipeptidase
Ferren, L. G., Ward, R. L., & Campbell, B. J. (1975) · Biochemistry · doi:10.1021/bi00695a008 · Cited by 10 · see citing works
Development of a Corrugated Polyimide-Based Electrode for Intrafascicular Use in Peripheral Nerves
Boretius, T., Zimmermann, D., & Stieglitz, T. (2009) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-642-03889-1_9 · Cited by 2 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Biomedical Implants with Charge‐Transfer Monitoring and Regulating Abilities
Wang, D., Tan, J., Zhu, H., Mei, Y., & Liu, X. (2021) · Advanced Science · doi:10.1002/advs.202004393 · Cited by 49 · see citing works
The Layer 7 Cortical Interface: A Scalable and Minimally Invasive Brain–Computer Interface Platform
Hettick, M., Ho, E., Poole, A. J., Monge, M., Papageorgiou, D., Takahashi, K., LaMarca, M., Trietsch, D., Reed, K., Murphy, M., et al. (2022) · doi:10.1101/2022.01.02.474656 · Cited by 31 · see citing works
Schander, A., Gancz, J., Tintelott, M., & Lang, W. (2021) · Micromachines · doi:10.3390/mi12111279 · Cited by 28 · see citing works
NeuroBus - Architecture for an Ultra-Flexible Neural Interface
Sporer, M., Vasilaş, I.-G., Adžemović, A., Graber, N., Reich, S., Gueli, C., Eickenscheidt, M., Diester, I., Stieglitz, T., & Ortmanns, M. (2024) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2024.3354785 · Cited by 13 · see citing works
Self-citationImplantable Device Fabrication and Packaging
Stieglitz, T. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_102 · Cited by 7 · see citing works
Self-citation
- Authors
- Vomero, M., Porto Cruz, M. F., Zucchini, E., Ciarpella, F., Delfino, E., Carli, S., Boehler, C., Asplund, M., Ricci, D., Fadiga, L., & Stieglitz, T.
- Affiliations
- University of Freiburg (DE)
- University of Ferrara (IT)
- University of Verona (IT)
- Center for Translational Neurophysiology of Speech and Communication (IT)
- Corresponding author
- Vomero, Maria
- ORCID
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 255
- Pages
- 120178
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W3035668073
- Cited by
- 95
- References
- 34
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 18 · 2023: 21 · 2022: 13 · 2021: 18 · 2020: 1
- FWCI
- 6.07
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Biomaterials (publishedVersion)
- PubMed (publishedVersion)
- CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion)
- Institutional Research Information System University of Ferrara (University of Ferrara) (submittedVersion, cc-by-nc-nd)
- Funders
- Deutsche Forschungsgemeinschaft
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Materials Science › Polymers and Plastics › Conducting polymers and applications
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Keywords
- electrocorticography, polyimide electrodes, foreign body reaction, finite element analysis, cortical depression, tissue curvature, device thickness, multi-unit recording, impedance monitoring, PEDOT:PSS, electrode diameter
- MeSH terms
- Animals, Cerebral Cortex, Electrodes, Implanted, Microelectrodes, Electric Impedance, Models, Animal, Rats
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
