Scale-Free Neurodynamics as Functional Fingerprint of Brain Regions.
Paper
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The authors' code
Jupyter notebook · 5 lines · 777 B · no license
- # %% [markdown]
- # The dataset analysed in this study is publicly available here: https://mni-open-ieegatlas.research.mcgill.ca/ . We downloaded 4 .edf files: Superior temporal gyrus_W.edf, Superior temporal gyrus_D.edf, Superior temporal gyrus_N.edf, Superior temporal gyrus_R.edf, Postcentral gyrus (including medial segment)_W.edf, PPostcentral gyrus (including medial segment)_D.edf, Postcentral gyrus (including medial segment)_N.edf, Postcentral gyrus (including medial segment)_R.edf, Precentral gyrus_W.edf, Precentral gyrus_N.edf, Precentral gyrus_D.edf, Precentral gyrus_R.edf, Medial segment of precentral gyrus_W.edf, Medial segment of precentral gyrus_N.edf, Medial segment of precentral gyrus_D.edf, Medial segment of precentral gyrus_R.edf
- # %%
- !pip install mne
Access to the public MNI data-checkpoint.ipynb at commit 1aa6236, no license · at the source
Overview
- Faculty of Mathematics and Natural Sciences, Kaunas University of Technology, 44249 Kaunas, Lithuania
- Laboratory of Electrophysiology for Translational Neuroscience, Institute of Cognitive Sciences and Technologies—Consiglio Nazionale Delle Ricerche, 00196 Rome, Italy; (F.T.); (C.P.)
- INFN—Istituto Nazionale di Fisica Nucleare, Sezione Roma Tor Vergata, 00133 Rome, Italy
- Department of Biomedical Science, University of Sassari, 07100 Sassari, Italy
- Biomedical Engineering Research to Advance and Innovate Translational Neuroscience (BRAIN Unit), Department of Neuroscience & Padova Neuroscience Center, University of Padova, 35128 Padova, Italy
- Faculty of Engineering, Uninettuno University, 00186 Rome, Italy
- IAPS—INAF Istituto di Astrofisica e Planetologia Spaziali—Istituto Nazionale di Astrofisica, 00133 Rome, Italy
Abstract
This study investigates the ongoing electrical activity of local neural networks—referred to as neurodynamics—across 37 anatomically defined brain regions. We analyzed stereotactic intracranial EEG (sEEG) recordings from 106 subjects during wakeful rest, focusing on scale-free (power-law) properties to determine whether distinct brain regions exhibit unique neurodynamic signatures. Results revealed a power-law regime in two frequency ranges (approximately 0.5–4 Hz and 33–80 Hz). Notably, the power-law exponent (slope) in the high-frequency band differed significantly between cortical and subcortical areas (p < 0.01). These findings suggest that local neurodynamics, as reflected in scale-free characteristics, may serve as a functional “fingerprint” for brain region classification. This approach may contribute to functional brain parcellation efforts and offer new insights into the intrinsic organization of neuronal networks as revealed by resting-state activity analysis.
Reproduced under the paper's license (CC BY), from the paper cited above.
Repository
Its files are read in the Code ↔ Paper reader above.
armonaite/PowerLawAnalysis
1aa6236e2f90684cb588798f87655e5c44a7009c, 27 May 2024Availability: 1 check, the latest on 30 September 2026: the link answers
- 30 September 2026: the link answers
8 files
- Access to the public MNI data-checkpoint.ipynb, Jupyter, 5 lines
- Beta versus delta frequency band-checkpoint.ipynb, Jupyter, 198 lines
- Power Spectral Density-checkpoint.ipynb
, Jupyter, 231 lines - Power-law analysis in delta frequency band_.ipynb, Jupyter, 286 lines
- Power-law analysis in gamma frequency band_.ipynb, Jupyter, 218 lines
- Power-law in delta band-checkpoint.ipynb, Jupyter, 232 lines
- Power-law in gamma band-checkpoint.ipynb, Jupyter, 251 lines
- Variability between subjects (alpha band test)-checkpoint.ipynb, Jupyter, 207 lines
The paper's code and data availability statement is in the Data section.
Tracing map
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Data
No dataset and no data link were found in the paper.
Data Availability Statement
The original data presented in the study are openly available in the Montreal Neurological Institute (MNI) Intracerebral Recording Atlas at https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 30 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 6 keywords, 2 funders, 50 references.
Cite
This paper
Armonaite, K., Tecchio, F., Pinna, B., Porcaro, C., & Conti, L. (2026). Scale-Free Neurodynamics as Functional Fingerprint of Brain Regions. Bioengineering (Basel, Switzerland), 13(3), 323. https://
BibTeX
@article{armonaite2026sc
author = {Armonaite, Karolina and Tecchio, Franca and Pinna, Baingio and Porcaro, Camillo and Conti, Livio},
title = {{Scale-Free Neurodynamics as Functional Fingerprint of Brain Regions}},
journal = {Bioengineering (Basel, Switzerland)},
year = {2026},
month = mar,
volume = {13},
number = {3},
pages = {323},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
issn = {2306-5354},
doi = {10.3390/
url = {https://
pmid = {41899854},
pmcid = {PMC13023962}
}
RIS
TY - JOUR
AU - Armonaite, Karolina
AU - Tecchio, Franca
AU - Pinna, Baingio
AU - Porcaro, Camillo
AU - Conti, Livio
TI - Scale-Free Neurodynamics as Functional Fingerprint of Brain Regions
T2 - Bioengineering (Basel, Switzerland)
J2 - Bioengineering (Basel)
PY - 2026
DA - 2026/
VL - 13
IS - 3
SP - 323
SN - 2306-5354
PB - Multidisciplinary Digital Publishing Institute (MDPI)
DO - 10.3390/
UR - https://
LA - en
ER -
CSL-JSON
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