Simultaneous cortical, subcortical, and brainstem mapping of sensory activation.
Neha A ReddyRebecca G ClementsJonathan C W BrooksMolly G BrightPublished in: bioRxiv : the preprint server for biology (2024)
Non-painful tactile sensory stimuli are processed in the cortex, subcortex, and brainstem. Recent functional magnetic resonance imaging (fMRI) studies have highlighted the value of whole-brain, systems-level investigation for examining pain processing. However, whole-brain fMRI studies are uncommon, in part due to challenges with signal to noise when studying the brainstem. Furthermore, the differentiation of small sensory brainstem structures such as the cuneate and gracile nuclei necessitates high resolution imaging. To address this gap in systems-level sensory investigation, we employed a whole-brain, multi-echo fMRI acquisition at 3T with multi-echo independent component analysis (ME-ICA) denoising and brainstem-specific modeling to enable detection of activation across the entire sensory system. In healthy participants, we examined patterns of activity in response to non-painful brushing of the right hand, left hand, and right foot, and found the expected lateralization, with distinct cortical and subcortical responses for upper and lower limb stimulation. At the brainstem level, we were able to differentiate the small, adjacent cuneate and gracile nuclei, corresponding to hand and foot stimulation respectively. Our findings demonstrate that simultaneous cortical, subcortical, and brainstem mapping at 3T could be a key tool to understand the sensory system in both healthy individuals and clinical cohorts with sensory deficits.
Keyphrases
- resting state
- high resolution
- functional connectivity
- white matter
- magnetic resonance imaging
- lower limb
- magnetic resonance
- multiple sclerosis
- chronic pain
- computed tomography
- traumatic brain injury
- contrast enhanced
- spinal cord injury
- air pollution
- mass spectrometry
- pain management
- machine learning
- diffusion weighted imaging
- quantum dots
- deep learning
- real time pcr
- high speed
- label free
- tandem mass spectrometry