Kaszás, Attila and Meszéna, Domokos and Fiáth, Richárd and Slézia, Andrea and Ulbert, István and Katona, Gergely (2025) Capturing the Electrical Activity of all Cortical Neurons: Are Solutions Within Reach? ADVANCED SCIENCE, 12 (32). No. e06225. ISSN 2198-3844
|
Text
Kaszas_et_al_Adv_Sci.pdf - Published Version Available under License Creative Commons Attribution. Download (9MB) | Preview |
Abstract
Recent advancements in high‐density implantable intracortical electrode technology have significantly improved neural interfaces for both research and clinical applications. However, a significant challenge persists: scaling up these devices to achieve recording of nearly all single‐unit activity across large brain volumes. This critical review explores recent progress in neural electrode design, focusing on the challenges of achieving scalable solutions for this ambitious goal. The physical and technical constraints of both rigid and flexible probes are addressed, highlighting the limitations imposed by shank stiffness, mechanical tissue damage, and foreign body response. It is identified that the physics of inserting the electrodes into the brain tissue poses a fundamental constraint, which inherently restricts achievable electrode density. Biohybrid strategies, integrating biological and synthetic components, have shown promise, but they have yet to overcome the major challenges necessary to achieve a scalable functional interface. It is concluded that, given the current limitations of available techniques, there is a pressing need to explore fundamentally novel approaches to realize the vision of recording the electrical activity of every cortical neuron within the brain.
| Item Type: | Article |
|---|---|
| Additional Information: | Funding Agency and Grant Number: Thematic Programme of Excellence [TKP2021-EGA-42]; Hungarian Brain Research Program [NAP2022-I-2/2022]; Pharmaceutical Research and Development Laboratory Project [RRF-2.3.1-21-2022-00015]; OTKA Hungarian postdoctoral grant [PD143582]; Hungarian Research Network [HUN-REN-HAZAHIVO-2023, KSZF-174/2023, 2019-2.1.7-ERA-NET-2021-00023]; Bolyai Jnos Scholarship of the Hungarian Academy of Sciences; National Research Excellence Programme [150574, STARTING_24]; ERA-NET [2019-2.1.7-ERA-NET-2021-00023] Funding text: A.K. and D.M. contributed equally to this work. The concept of the "butcher number," originating from Prof. Markus Meister, was gratefully adapted with his consent. The authors also thank Dr. & Aacute;dam Denes for his helpful comments. This work was supported by the Thematic Programme of Excellence (TKP2021-EGA-42), Hungarian Brain Research Program (NAP2022-I-2/2022), Pharmaceutical Research and Development Laboratory Project (PharmaLab, RRF-2.3.1-21-2022-00015), OTKA Hungarian postdoctoral grant (PD143582), Hungarian Research Network (HUN-REN-HAZAHIVO-2023, KSZF-174/2023), and ERA-NET (2019-2.1.7-ERA-NET-2021-00023). R.F. was supported by the Bolyai Janos Scholarship of the Hungarian Academy of Sciences and the National Research Excellence Programme (STARTING_24, 150574). Open access is enabled by the Electronic Information Service National Programme (Hungary). |
| Subjects: | R Medicine / orvostudomány > RC Internal medicine / belgyógyászat > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry / idegkórtan, neurológia, pszichiátria |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 02 Sep 2025 07:05 |
| Last Modified: | 02 Sep 2025 07:05 |
| URI: | https://real.mtak.hu/id/eprint/223111 |
Actions (login required)
 |
Edit Item |
