Quantifying fractal and oscillatory components in neural signals for biomarker development

for estimation to resolve conflicting interpretations. These findings underscore the complementary roles of oscillatory and aperiodic dynamics, offering novel avenues for closed-loop brain-computer interfaces and personalized neurotherapeutics.

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Publication Details

Journal
Progress in Biomedical Engineering
Published
2026-04-15
DOI
https://doi.org/10.1088/2516-1091/ae6003
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantifying fractal and oscillatory components in neural signals for biomarker development

Camillo Porcaro, Alessandra Bertoldo
Progress in Biomedical Engineering
Neural dynamics and brain function
article

Quantifying fractal and oscillatory components in neural signals for biomarker development

Camillo Porcaro, Alessandra Bertoldo
article en

Abstract

for estimation to resolve conflicting interpretations. These findings underscore the complementary roles of oscillatory and aperiodic dynamics, offering novel avenues for closed-loop brain-computer interfaces and personalized neurotherapeutics.

Progress in Biomedical EngineeringVol. 8(2)
University of Padua (IT), National Research Council (IT), Institute of Cognitive Sciences and Technologies (IT), University of Birmingham (GB)
Openalex Percentile: Top 22%
Neural dynamics and brain function
DOIOpen Access PDFOpenAlex
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