September 10, 2025Network NeuroscienceOpen Access

Network Control Theory applied to the Human Connectome: A Study on Variability and Discriminability of fMRI Connectomic Features under Normal and Defective Sensorineural Conditions

View Full Paper

Ask AI

Bookmark

Authors

SPSimone PapalloUniversity of Campania "Luigi Vanvitelli"ARAlessandro Pasquale De RosaUniversity of Campania "Luigi Vanvitelli"SPSara PonticorvoUniversity of Minnesota

Discussion

Member takes

Implication

Study reveals variability in fMRI connectomic features among cognitively unimpaired elders and younger adults, indicating potential for clinical metrics.

Key Points

Low intra-individual and moderate inter-individual variability of NCT features were observed across different settings.
Controllability analyses indicated significant group effects, distinguishing normal from disease-affected connectomes.
Energy cost linked to time horizon did not show group discrimination but influenced controllability outcomes.
This work evaluates fMRI-derived NCT features, aiding clinical applications in understanding neurologically meaningful changes.

Cite This Study

Papallo et al. (2025) studied this question.

synapsesocial.com/papers/68c23f1fb210217d64795637 https://doi.org/10.1162/netn.a.36

View Full Paper

Ask AI

Bookmark

Implication

Study reveals variability in fMRI connectomic features among cognitively unimpaired elders and younger adults, indicating potential for clinical metrics.

Network Control Theory applied to the Human Connectome: A Study on Variability and Discriminability of fMRI Connectomic Features under Normal and Defective Sensorineural Conditions

Discussion

Member takes

Implication

Key Points

Cite This Study

Network Control Theory applied to the Human Connectome: A Study on Variability and Discriminability of fMRI Connectomic Features under Normal and Defective Sensorineural Conditions

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider