bioRxivNeurosciencePreprint
Dissociating Resting-State Networks of Pedohebephilic Preference and Child Sexual Offending Using Network-Based Prediction
Emin SeriniD, Kainat Raza Khan, Tillmann H.C. Krueger, Christopher SinkeiD, Klaus Michael BeieriD, Martin WalteriD, Boris SchifferiD, Till Randolf AmelungiD, Henrik WalteriD
Abstract
Pedohebephilia (P+), the sexual preference for prepubescent and early pubertal minors, regularly causes distress in those affected. While associated with child sexual offending (CSO), P+ is not a prerequisite for CSO. Limited neuroimaging studies have identified alterations associated with P+, while these may primarily reflect offending history. The correlates of P+ independent of CSO therefore remain unclear. We examined this distinction using intrinsic functional networks within a multivariate predictive framework. Using resting-state functional connectivity (rsFC) and network-based prediction (NBS-Predict), we performed pairwise classifications among non-offending pedohebephilic men (P+CSO-, n=35), pedohebephilic men with CSO (P+CSO+, n=38), and non-pedohebephilic controls without CSO (P-CSO-, n=63). Classification-relevant subnetwork nodal strength was associated post hoc with trait impulsivity within P+ groups. P+CSO- were significantly distinguished from P-CSO- (balanced accuracy [BAC]=.621, pFDR=.041), and showed reductions between default-mode hubs and temporoparietal somatomotor and ventral attention regions. P+CSO+ were also significantly distinguished from P+CSO- (BAC=.645, pFDR=.032) and yielded a smaller subnetwork centered on the substantia nigra. Against P-CSO-, P+CSO+ showed widespread reductions, particularly across subcortical, default mode, visual, limbic, and somatomotor regions (BAC=.640, pFDR=.032). Right precentral gyrus nodal strength correlated with impulsivity in P+CSO+ only (r = .57, pFDR=.024). Whole-brain rsFC contains information, distinguishing pedohebephilic preference in the absence of known CSO, while P+CSO+ show additional, more widespread network alterations involving systems implicated in action selection and behavioral regulation. These findings open new avenues for integrating pedohebephilia into broader neurobiological research frameworks.
- organism: human
- assay: field survey / ecological data
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: deep learning
- approach: statistical model
- Citations
- 0
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