Background Tactile acuity is defined as the skin’s ability to discriminate spatial patterns of stimulation. The two-point discrimination (TPD) threshold is commonly used to assess tactile acuity in non-specific low back pain (nsLBP) [1]. Another approach, the two-point estimation (TPE) task [2], is more time-efficient and, therefore potentially suitable for clinical use. The TPD is closely linked to functional and structural reorganisation in the primary somatosensory cortices (S1) [3] [4], yet studies on neural correlates of TPE are lacking. This study aims to identify potential associations between outcomes of lumbar TPE and TPD and resting-state functional connectivity (rsFC) and structural connectivity (SC) of the S1 region.
Methods Preliminary data from the ongoing cross-sectional ‘PREDICT-LBP’ (PRedictive Evidence Driven Intelligent Classification Tool for Low Back Pain) study [5] are analysed. Whole-brain resting-state functional MRI (voxel size: 3mm isotropic; TE: 30; TR: 2500; acquisition time: 8:12min) and diffusion-weighted MRI (voxel size: 2mm isotropic, TE: 90; TR: 10000; 105 directions in 3 shells, b: 1000/1800/2500) are acquired with a 3T Philips Achieva MR system, providing rsFC and SC, respectively. MRI data processing is performed according to literature standards [6] [ Background Tactile acuity is defined as the skin’s ability to discriminate spatial patterns of stimulation. The two-point discrimination (TPD) threshold is commonly used to assess tactile acuity in non-specific low back pain (nsLBP) [1]. Another approach, the two-point estimation (TPE) task [2], is more time-efficient and, therefore potentially suitable for clinical use. The TPD is closely linked to functional and structural reorganisation in the primary somatosensory cortices (S1) [3] [4], yet studies on neural correlates of TPE are lacking. This study aims to identify potential associations between outcomes of lumbar TPE and TPD and resting-state functional connectivity (rsFC) and structural connectivity (SC) of the S1 region.
Methods Preliminary data from the ongoing cross-sectional ‘PREDICT-LBP’ (PRedictive Evidence Driven Intelligent Classification Tool for Low Back Pain) study [5] are analysed. Whole-brain resting-state functional MRI (voxel size: 3mm isotropic; TE: 30; TR: 2500; acquisition time: 8:12min) and diffusion-weighted MRI (voxel size: 2mm isotropic, TE: 90; TR: 10000; 105 directions in 3 shells, b: 1000/1800/2500) are acquired with a 3T Philips Achieva MR system, providing rsFC and SC, respectively. MRI data processing is performed according to literature standards [6] [
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