Novel voxelwise residual analysis of [¹¹C]raclopride PET data improves detection of low-amplitude dopamine release.

ABSTRACT: Existing methods for voxelwise transient dopamine (DA) release detection rely on explicit kinetic modeling of the [¹¹C]raclopride PET time activity curve, which at the voxel level is typically confounded by noise, leading to poor performance for detection of low-amplitude DA release-induced signals. Here we present a novel data-driven, task-informed method-referred to as Residual Space Detection (RSD)-that transforms PET time activity curves to a residual space where DA release-induced perturbations can be isolated and processed. Using simulations, we demonstrate that this method significantly increases detection performance compared to existing kinetic model-based methods for low-magnitude DA release (simulated +100% peak increase in basal DA concentration). In addition, result

SUBMITTER: Bevington CW 

PROVIDER: S-EPMC11197141 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature