Increased brain structural–functional coupling in the frontoparietal control network of chronic tobacco smokers

Abstract Previous studies on chronic smokers have shown altered structural and functional connectivity in large-scale networks; however, both domains have largely been studied in isolation. Here, we estimated structural–functional (SC-FC) coupling in chronic tobacco smokers (47) versus nonsmokers (46) using multimodal magnetic resonance imaging. Structural and functional connectomes were derived, with structural connectivity estimated using SIFT2-weighted tractography and inverse node-volume normalization. SC-FC coupling was computed as the Spearman correlation between SC and FC edge weights for the whole brain and seven Schaefer–Yeo canonical networks. Estimates accounted for interregional distance and were evaluated across densities of 10%–30%. Smokers showed higher coupling in the frontoparietal control network (FPCN) across network densities and Schaefter 246–446 parcellations, but this effect did not survive multiple-comparison correction. Dorsal attention and subcortical effects were also observed at some resolutions, but they were less consistent across parcellations. The FPCN pattern remained directionally consistent in sensitivity analyses including network-specific thresholding and adjustment for motion and global signal, although it did not survive omnibus correction across all tested networks. Within smokers, FPCN coupling was not associated with smoking exposure, nicotine dependence, or trait impulsivity. These results suggest a network-specific alteration in structure–function alignment that warrants further study.

Authors

Institutions

Publication Details

Journal
Network Neuroscience
Published
2026-09-09
DOI
https://doi.org/10.1162/netn.a.606
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Increased brain structural–functional coupling in the frontoparietal control network of chronic tobacco smokers

Nicola Sambuco, Brian Taylor, Humberto Monsivais, Francesco Versace
Network Neuroscience
Functional Brain Connectivity Studies
article

Increased brain structural–functional coupling in the frontoparietal control network of chronic tobacco smokers

Nicola Sambuco, Brian Taylor, Humberto Monsivais, Francesco Versace
article en

Abstract

Abstract Previous studies on chronic smokers have shown altered structural and functional connectivity in large-scale networks; however, both domains have largely been studied in isolation. Here, we estimated structural–functional (SC-FC) coupling in chronic tobacco smokers (47) versus nonsmokers (46) using multimodal magnetic resonance imaging. Structural and functional connectomes were derived, with structural connectivity estimated using SIFT2-weighted tractography and inverse node-volume normalization. SC-FC coupling was computed as the Spearman correlation between SC and FC edge weights for the whole brain and seven Schaefer–Yeo canonical networks. Estimates accounted for interregional distance and were evaluated across densities of 10%–30%. Smokers showed higher coupling in the frontoparietal control network (FPCN) across network densities and Schaefter 246–446 parcellations, but this effect did not survive multiple-comparison correction. Dorsal attention and subcortical effects were also observed at some resolutions, but they were less consistent across parcellations. The FPCN pattern remained directionally consistent in sensitivity analyses including network-specific thresholding and adjustment for motion and global signal, although it did not survive omnibus correction across all tested networks. Within smokers, FPCN coupling was not associated with smoking exposure, nicotine dependence, or trait impulsivity. These results suggest a network-specific alteration in structure–function alignment that warrants further study.

Network Neuroscience
The University of Texas MD Anderson Cancer Center (US), University of Bari Aldo Moro (IT)
Good health and well-being
Openalex Percentile: Top 9%
Functional Brain Connectivity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.