کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6023068 1580865 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Functional magnetic resonance imaging of the cervical spinal cord during thermal stimulation across consecutive runs
ترجمه فارسی عنوان
تصویربرداری رزونانس مغناطیسی کارکردی از نخاع گردنی در طول تحریک حرارتی در طول فرآیندهای متوالی
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
چکیده انگلیسی


- fMRI was used to detect sensory activity in the cervical spinal cord.
- Warm and painful thermal stimuli were applied to the ventral right forearm.
- The activity was localized to the dorsal hemicord at the group and subject level.
- The spatial extent and magnitude of the activity was greater for painful stimuli.
- A machine-learning algorithm decoded the stimuli based on the pattern of activity.

The spinal cord is the first site of nociceptive processing in the central nervous system and has a role in the development and perpetuation of clinical pain states. Advancements in functional magnetic resonance imaging are providing a means to non-invasively measure spinal cord function, and functional magnetic resonance imaging may provide an objective method to study spinal cord nociceptive processing in humans. In this study, we tested the validity and reliability of functional magnetic resonance imaging using a selective field-of-view gradient-echo echo-planar-imaging sequence to detect activity induced blood oxygenation level-dependent signal changes in the cervical spinal cord of healthy volunteers during warm and painful thermal stimulation across consecutive runs. At the group and subject level, the activity was localized more to the dorsal hemicord, the spatial extent and magnitude of the activity was greater for the painful stimulus than the warm stimulus, and the spatial extent and magnitude of the activity exceeded that of a control analysis. Furthermore, the spatial extent of the activity for the painful stimuli increased across the runs likely reflecting sensitization. Overall, the spatial localization of the activity varied considerably across the runs, but despite this variability, a machine-learning algorithm was able to successfully decode the stimuli in the spinal cord based on the distributed pattern of the activity. In conclusion, we were able to successfully detect and characterize cervical spinal cord activity during thermal stimulation at the group and subject level.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 143, December 2016, Pages 267-279
نویسندگان
, , , , ,