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Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation

F Maita1, E Palmieri1, I Lucarini1

  • 1Istituto per la Microelettronica e Microsistemi, Consiglio Nazionale delle Ricerche, Rome, Italy.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|April 13, 2026
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Summary

Functional disorder, a novel design paradigm, enhances neural interface performance by optimizing nanostructured biointerfaces for improved cell-electrode interactions and signal recording.

Keywords:
disordered nanostructuresfractal nanotopographyfunctional disorderin vitro neural cultureneural and glial interfaces

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Area of Science:

  • Biomaterials Science
  • Neuroscience
  • Nanotechnology

Background:

  • Neural interface performance relies on electrode-tissue interactions at multiple scales.
  • Current designs often lack the complexity to optimize these interactions.
  • A new design paradigm is needed for advanced biointerfaces.

Purpose of the Study:

  • Introduce functional disorder as a unifying design paradigm for nanostructured biointerfaces.
  • Explore how tailored nanotopography influences interfacial properties and biological responses.
  • Provide a framework for designing next-generation neural interfaces.

Main Methods:

  • Review of fabrication strategies for nanostructured biointerfaces.
  • Analysis of structure-property relationships in disordered nanomaterials.
  • Examination of how nanotopography affects electrical and biological interfacial properties.

Main Results:

  • Functional disorder, defined as non-periodic, multiscale nanotopography, is functionally relevant at the cell-electrode interface.
  • Tailored nanotopography reduces impedance, enhances electrical coupling, and improves signal recording.
  • Disordered nano-architectures influence cell adhesion, morphology, and differentiation.

Conclusions:

  • Functional disorder offers a rational and scalable framework for designing advanced in vitro neural interfaces.
  • This approach improves performance, robustness, and biological integration.
  • It enables more stable and physiologically relevant neural recording platforms.