Evidence map›Paper›PMID 41144009›Full record

ArticleBrain structure & function2025

Assessment of resting state structural-functional relationships in perisylvian region during the early weeks after birth.

Roxana Namiranian, Hamid Abrishami Moghaddam, Ali Khadem, Reza Jafari, Amirhossein Chalechale

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Article in Brain structure & function, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Roxana NamiranianDepartment of Biomedical Engineering, Faculty of Electrical Engineering, K. N. Toosi University of Technology, 16315-1355, Tehran, Iran.
Hamid Abrishami MoghaddamDepartment of Biomedical Engineering, Faculty of Electrical Engineering, K. N. Toosi University of Technology, 16315-1355, Tehran, Iran. moghaddam@kntu.ac.ir.
Ali KhademDepartment of Biomedical Engineering, Faculty of Electrical Engineering, K. N. Toosi University of Technology, 16315-1355, Tehran, Iran.
Reza JafariDepartment of Electrical and Computer Engineering, Thompson Engineering Building, University of Western Ontario, London, ON, N6A 5B9, Canada.
Amirhossein ChalechaleDepartment of Biomedical Engineering, Faculty of Electrical Engineering, K. N. Toosi University of Technology, 16315-1355, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the structural-functional (S-F) relationships of the perisylvian region during the first weeks after birth in the resting state. Previous joint S-F studies of perisylvian development were mainly conducted on individual structural and functional metrics. By employing a weighted combination of metrics, joint S-F studies can enhance the understanding of perisylvian development in neonates, thereby providing valuable features for the prediction of neurodevelopmental disorders. To this end, we employed both structural and functional metrics derived from 16 perisylvian sub-regions (PSRs). Structural metrics included morphological and myelination measures, while functional metrics encompassed functional connectivity (FC) values between a designated seed PSR and the remaining PSRs. In addition, fractional amplitude of low-frequency fluctuations (fALFF) for all PSRs was computed and used as a distinct group of functional metrics. During statistical procedure, based on sparse canonical correlation analysis (CCA), the structural metrics were correlated with each respective group of functional metrics. Then, CCA was employed to delineate regional interdependencies and derive combined structural-functional features. The findings revealed that combined features outperform individual metrics for characterizing the normal development of the PSRs in term neonates. The myelination is prominently related to both fALFF and FCs, while morphological metrics of the PSRs have very limited contribution in combined structural features. Among the designated PSRs, the FCs of both the right insula and Heschl’s gyrus with other PSRs demonstrated a more robust correlation with the combined structural features.

Indexed as

BrainBrain MappingFemaleHumansInfant, NewbornMagnetic Resonance ImagingMaleNeural PathwaysNeurodevelopmentRestCombined structural and functional featuresEarly neurodevelopmentPerisylvian regionSparse canonical correlation analysisStructural-functional association

Identifiers

PMID41144009

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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.