In Vivo Evaluation of Thermally Drawn Biodegradable Optical Fibers as Brain Implants

Optical fiber technology plays a critical role in modern neuroscience towards understanding the complex neuronal dynamics within the nervous system. In this study, we manufactured and characterized amorphous thermally drawn poly D, L-lactic acid (PDLLA) biodegradable optical fibers in different diameters. These optical fibers were then implanted into the lateral posterior region of the mouse brain for four months, allowing us to assess their degradation characteristics. The gradual dissolution of the implanted PDLLA optical fibers in the brain was confirmed by optical, photoacoustic, and scanning electron microscopy (SEM), light propagation characteristics, and molecular weight measurements. The results indicate that the degradation rate of the biodegradable optical fiber was mainly pronounced during the first week. After four months, degradation led to the formation of micropores on the surface of the implanted fiber within the gray matter region of the brain. We believe that the PDLLA biodegradable optical fiber developed in this study constitutes a promising candidate for further functionalization and development of next-generation biocompatible, soft, and biodegradable bi-directional neural interfaces.

Authors

Institutions

Publication Details

Journal
Journal of Biomedical Materials Research Part B Applied Biomaterials
Published
2025-02-18
DOI
https://doi.org/10.1002/jbm.b.35549
Citations
3
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
2.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In Vivo Evaluation of Thermally Drawn Biodegradable Optical Fibers as Brain Implants

Marcello Meneghetti, Guanghui Li, Parinaz Abdollahiyan, Kunyang Sui et al.
3 citations
Journal of Biomedical Materials Research Part B Applied Biomaterials
Neuroscience and Neural Engineering
2.73
article

In Vivo Evaluation of Thermally Drawn Biodegradable Optical Fibers as Brain Implants

Marcello Meneghetti, Guanghui Li, Parinaz Abdollahiyan, Kunyang Sui, Rune W. Berg, Christos Markos, Jiachen Wang, Yazhou Wang, Cuiling Zhang
article en
3 citations

Abstract

Optical fiber technology plays a critical role in modern neuroscience towards understanding the complex neuronal dynamics within the nervous system. In this study, we manufactured and characterized amorphous thermally drawn poly D, L-lactic acid (PDLLA) biodegradable optical fibers in different diameters. These optical fibers were then implanted into the lateral posterior region of the mouse brain for four months, allowing us to assess their degradation characteristics. The gradual dissolution of the implanted PDLLA optical fibers in the brain was confirmed by optical, photoacoustic, and scanning electron microscopy (SEM), light propagation characteristics, and molecular weight measurements. The results indicate that the degradation rate of the biodegradable optical fiber was mainly pronounced during the first week. After four months, degradation led to the formation of micropores on the surface of the implanted fiber within the gray matter region of the brain. We believe that the PDLLA biodegradable optical fiber developed in this study constitutes a promising candidate for further functionalization and development of next-generation biocompatible, soft, and biodegradable bi-directional neural interfaces.

Journal of Biomedical Materials Research Part B Applied BiomaterialsVol. 113(3)
University of Copenhagen (DK), Technical University of Denmark (DK)
Villum Fonden, Lundbeckfonden, H. Lundbeck A/S
Openalex Percentile: Top 12%
Neuroscience and Neural Engineering
2.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.