Local field potential signal transmission is correlated with the anatomical connectivity measured by diffusion tractography

ObjectiveIn this paper we aim to examine the correlation between diffusion tensor imaging (DTI) parameters of anatomical connectivity and characteristics of signal transmission obtained from patient-specific transfer function models. Here, we focused on elucidating the correlation between structural and functional neural connectivity within a cohort of patients diagnosed with dystonia. MethodsDTI images were obtained from twelve patients with dystonia prior to the deep brain stimulation (DBS) surgery. For each patient we processed the imaging data to estimate anatomical measures including fractional anisotropy (FA), axial diffusivity (AD), number of fiber tracts per unit area (N), and fiber tract length (L). After the implantation of temporary depth leads for each patient as part of their treatment plan, intracranial signals were recorded. Transfer function models and the corresponding measures of functional connectivity were computed for each patient using local field potential (LFP) recordings. Linear mixed effect analysis was then employed to determine the relationship between transfer function measures and DTI parameters. ResultsOur results illustrate a positive correlation between FA, AD, and intrinsic neural transmission measures, representing amplification and spread of intrinsic neural oscillations, obtained from the transfer functions models. However, no significant correlation was found between the functional connectivity and number of fiber tracts or fiber lengths. ConclusionOur findings suggest that white matter integrity, as measured by FA and AD, can potentially reflect the amplification and spread of intrinsic brain signals throughout the network. This study underscores the significant relationship between structural and functional connectivity, offering valuable insights into propagation of neural activity in the brain network and potential implications for optimizing noninvasive treatments and planning for neurological disorders.