Evidence map›Paper›PMID 42291241›Full record

ArticleiScience2026

Fractal dynamics of the healthy human brain: A subcortical-to-cortical gradient of temporal complexity.

Lorenzo Pini, Sadaf Moaveninejad, Maurizio Corbetta, Camillo Porcaro

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lorenzo PiniDepartment of Neuroscience, University of Padova, Padova, Italy.
Sadaf MoaveninejadDepartment of Neuroscience, University of Padova, Padova, Italy.
Maurizio CorbettaDepartment of Neuroscience, University of Padova, Padova, Italy.
Camillo PorcaroPadova Neuroscience Center, University of Padova, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loss of brain signal complexity can indicate signs of diseases, yet standard scans often miss these patterns. Establishing a high-resolution benchmark of healthy temporal complexity is essential for developing early cerebral biomarkers. To construct a fractal normative reference map of brain complexity, we analyzed high-resolution 7T fMRI scans from 173 healthy adults. We used fractal dimension analysis to map the brain spatiotemporal organization and test its relationship with human intelligence. We discovered a robust physiological gradient, from the globus pallidus (GP) (hub of maximal "healthy chaos") to fronto-parietal cognitive networks (which prioritize stability). This architecture predicts fluid intelligence. This study establishes the globus pallidus as the engine of neural flexibility while cortical network underlying cognitive abilities exhibit more regular dynamics, linked with fluid intelligence. These results offer insights to detect the dynamic rigidity that often precedes structural damage in neurological diseases, a hypothesis that requires validation in future clinical studies.

Indexed as

cognitive neuroscienceneurologytechniques in neuroscience

Identifiers

PMID42291241
PMCPMC13255024

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.