Dissociating Resting-State Networks of Pedohebephilic Preference and Child Sexual Offending Using Network-Based Prediction
Emin Serin, Kainat Raza Khan, Tillmann H.C. Krueger, Christopher Sinke, Klaus Michael Beier, Martin Walter, Boris Schiffer, Till Randolf Amelung, Henrik Walter
The paper distinguishes pedohebephilic preference from child sexual offending using resting-state functional connectivity and network-based prediction, identifying distinct neural network alterations.
bioRxiv · Oct 26, 2026 · PreprintNeuroscience