Disrupted white matter microstructure in insomnia disorder: a diffusion kurtosis imaging study
Ting Chen1, Yanxia Wen2, Chunxue Ye2
1Research Center of Dermatology and Venereal Diseases, College of Medicine and Health Sciences, China Three Gorges University, Yichang, 443000, China; Chongqing Western Hospital, Chongqing, 400052, China.
Background:
Insomnia disorder (ID) is associated with neurocognitive dysfunction, but the underlying white matter microstructural abnormalities and their neurobiological mechanisms remain poorly characterized.
Methods:
Diffusion kurtosis imaging (DKI) and tract-based spatial statistics were employed to compare white matter integrity between 30 ID patients and 30 age-matched healthy controls. Diffusion kurtosis and tensor parameters were analyzed to evaluate microstructural complexity and directional coherence.
Results:
ID patients exhibited extensively reduced radial kurtosis (RK) across critical white matter tracts, including the forceps minors, inferior fronto-occipital fasciculus and the left inferior longitudinal fasciculus. Moreover, ID patients exhibited reduced fractional anisotropy (FA) across white matter tracts, including the forceps minors, inferior fronto-occipital fasciculus and the anterior thalamic radiation. Step-wise regression analyses revealed that both RK and FA decreases were negatively correlated with insomnia duration (RK = 1.46-0.006 ∗ duration, p = 0.03; FA = 0.50-0.001 ∗ age - 0.001∗ duration, p < 0.001), suggesting progressive white matter degeneration with prolonged sleep disruption.
Conclusion:
ID is linked to microstructural disintegration in emotion- and arousal-modulating white matter networks, with DKI parameters (particularly RK) demonstrating superior sensitivity to early pathological changes compared to conventional diffusion metrics. Despite these promising results, the cross-sectional design and relatively small sample size warrant caution, and future longitudinal studies in larger cohorts are needed to confirm these findings. These findings advance the characterization of insomnia-related neuropathology and highlight the potential of DKI as a biomarker for monitoring disease progression and guiding targeted interventions.


