| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_c9a326a5bef35e427d95bf75982f6292
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2bf743a44b3c9fda87c1c3deb4b68d9d |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7257
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-726
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-4633
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7246
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2800-2842 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-4625
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R33-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0042
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-05
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7282
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4824
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7246
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R33-46 |
| filingDate |
2019-12-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3bb85a09f46d6aae9ba4f2fa09fca4f3 |
| publicationDate |
2020-06-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2020178889-A1 |
| titleOfInvention |
System and method for detecting levels of pain using magnetic resonance spectroscopy (mrs) |
| abstract |
One dimensional (1D) and two dimensional (2D) MR spectroscopy of the brain provides an objective test for pain and level of pain. There are two ways of evaluating the data. The first is conventional analysis of the 2D MRS. The second us the use of data mining methods such as testing for correlation between wavelet-based features and self-reported pain intensity, the MBDA method. Both found multiple spectral regions that were highly correlated with self-reported pain. Two of these spectral regions are consistent with changes to the recently assigned substrate α-L Fucose and the Fuc-α(1-2) glycans in the human brain. There are common features recorded compared with prior reports using the MBDA method to evaluate pain associated with spinal cord injury and low back pain. Accordingly, by detecting the levels of selected neurochemical markers in MR spectroscopy of an individual, one can determine the level of pain by comparing spectral data obtained with a reference database which correlates level of selected neurochemicals with levels of pain. |
| priorityDate |
2018-12-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |