Spatial Information of Somatosensory Stimuli in the Brain: Multivariate Pattern Analysis of Functional Magnetic Resonance Imaging Data.
In-Seon LeeWon-Mo JungHi-Joon ParkYounbyoung ChaePublished in: Neural plasticity (2020)
Our findings suggest that the SI, as well as the MI, intraparietal sulcus, paracentral gyrus, and superior frontal gyrus, is responsible for the somatotopic representation of body parts stimulated by tactile stimuli. The MVPA approach for identifying neural patterns encoding spatial information of somatosensory stimuli may be affected by the stimulus type (penetrating needle versus non-invasive touch) and the number of classes (classification of four small points on the body versus two large body parts). Future studies with larger samples will identify stimulus-specific neural patterns representing stimulated locations, independent of subjective tactile perception and emotional responses. Identification of distinct neural patterns of body surfaces will help in improving neural biomarkers for pain and other sensory percepts in the future.
Keyphrases
- magnetic resonance imaging
- current status
- machine learning
- computed tomography
- chronic pain
- functional connectivity
- resting state
- deep learning
- health information
- electronic health record
- multiple sclerosis
- escherichia coli
- depressive symptoms
- healthcare
- ultrasound guided
- big data
- data analysis
- spinal cord
- pain management
- cystic fibrosis
- neuropathic pain
- blood brain barrier
- staphylococcus aureus
- sleep quality
- diffusion weighted imaging