Evidence map›Paper›PMID 40771095›Full record

ArticlePhysiological reports2025

Cognitive brain lateralization through neurovascular coupling in healthy subjects: A statistical complexity analysis.

Héctor Rojas-Pescio, Lucy Beishon, Ronney B Panerai, Max Chacón

Abstract read
In one paragraph

Article in Physiological reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Héctor Rojas-PescioDepartamento de Ingeniería Informática, Universidad de Santiago de Chile, Santiago, Chile.ORCID 0000-0002-9543-3516
Lucy BeishonDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Ronney B PaneraiDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Max ChacónDepartamento de Ingeniería Informática, Universidad de Santiago de Chile, Santiago, Chile.

Funding

Agencia Nacional de Investigación y Desarrollo (ANID) 21221884ANID | Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT) 1241202National Institute for Health Research
6 · The paper itself

Abstract

Human sensory, cognitive, and motor processes often result in asymmetric cerebral hemisphere activation, observable through neurovascular coupling (NVC). Brain lateralization enables simultaneous performance of distinct functions, enhancing cognitive capacity. This study examined cognitive lateralization through NVC responses to the Addenbrooke's Cognitive Examination-III (ACE-III) assessment, using entropy-based methods and statistical complexity measures (SCM). We tested whether applying dispersion entropy (DE) to cerebral blood velocity (CBv), critical closing pressure (CrCP), and resistance area-product (RAP) signals could identify significant hemispheric differences during cognitive tasks. Statistical analysis revealed SCM effectively detected lateralization (best p-value = 0.001), whereas entropy alone did not differentiate hemisphere activity. Furthermore, cognitive stimulation (attention, fluency, language, memory, and visuospatial tasks) generally produced lower SCM values compared to baseline, predominantly in the dominant hemisphere. These findings indicate that NVC exhibits distinct complexity patterns based on hemisphere dominance and cognitive domain stimulated. Additionally, comparison with prior ACE-III analyses, using population-normalized mean peak change, reinforces that advanced biomedical-oriented information theory methods, such as DE and SCM, offer valuable insights into cerebral lateralization mechanisms and NVC responses during cognitive stimulation.

Indexed as

BrainCognitionFunctional LateralityNeurovascular CouplingAdultCerebrovascular CirculationFemaleHumansMaleYoung Adultbrain lateralizationcognitive examinationdispersion entropyneurovascular couplingstatistical complexity

Identifiers

PMID40771095
PMCPMC12329349

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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.