Browse the latest research summaries in the field of neuroimaging for spinal cord injury patients and caregivers.
Showing 71-80 of 90 results
NeuroImage: Clinical, 2017 • June 1, 2017
The study revealed atrophy and myelin reductions within major brainstem pathways and nuclei involved in motor and sensory function in chronic traumatic SCI. Atrophy was observed in motor and sensory p...
KEY FINDING: Volume loss was detected in the corticospinal tracts (CSTs) and in the medial lemniscus in SCI patients compared to healthy controls.
JOURNAL OF NEUROTRAUMA, 2017 • April 15, 2017
The study investigates alterations in brain connectivity in mTBI patients using rsfMRI and relates these alterations to cognitive and behavioral outcomes at 6 months post-injury. The results show that...
KEY FINDING: mTBI patients, regardless of whether they show lesions on standard scans, exhibit alterations in brain network connectivity that correlate with cognitive performance six months post-injury.
Indian Journal of Radiology and Imaging, 2011 • August 1, 2011
This study investigates the feasibility of spinal tractography and fractional anisotropy (FA) value comparison in spinal cord injury patients versus a control group. DTI was performed on 29 subjects (...
KEY FINDING: The mean FA value was 0.550±0.09 in the control group and 0.367±0.14 in the patients; this difference was statistically significant (P=0.001).
J. Magn. Reson. Imaging, 2010 • November 1, 2010
The study aimed to determine if a 3D-MDEFT sequence, typically used for brain morphometry, could also provide reliable measures of spinal cord cross-sectional area (SCA). Images of the brain and cervi...
KEY FINDING: The 3D-MDEFT approach showed similar precision to standard methods for scan-rescan reproducibility of spinal cord area (SCA) measurements.
Brain Stimul., 2014 • March 1, 2014
This study investigates the effects of motor cortex stimulation (MCS) on cortical responses to noxious stimuli in rats with spinal cord lesions (SCL). The results show that MCS suppresses evoked blood...
KEY FINDING: MCS significantly suppressed evoked blood oxygen dependent signals in the primary somatosensory cortex and the prefrontal cortex.
Hum Brain Mapp, 2009 • March 1, 2009
This study investigates the feasibility and reliability of using functional electrical stimulation (FES) in an MRI environment to observe brain activity. The experiment involved alternating stimulatio...
KEY FINDING: FES stimulation reliably activates the sensorimotor network, including the contralateral primary motor cortex, somatosensory cortex, and premotor cortex.
NeuroImage: Clinical, 2019 • January 9, 2019
The study investigates brain functional and structural reorganization in patients with subacute incomplete cervical cord injury (ICCI) using fMRI and voxel-based morphometry. The results suggest that ...
KEY FINDING: ICCI patients exhibited decreased activation in the left postcentral gyrus (postCG), the brainstem (midbrain and right pons) and the right cerebellar lobules IV-VI compared to healthy controls.
AJNR Am J Neuroradiol, 1999 • May 1, 1999
The study examined the relationship between MR imaging findings of cervical spinal cord injury (SCI) and the recovery of functional motor skills, as measured by the functional independence measure (FI...
KEY FINDING: Patients without spinal cord hemorrhage showed significantly greater improvement in self-care and mobility scores compared to those with hemorrhage.
Neural Regeneration Research, 2013 • September 1, 2013
This retrospective study analyzed 36 cases of inflammatory demyelinating pseudotumors in the spinal cord, highlighting their clinical, imaging, and pathological characteristics to aid in differential ...
KEY FINDING: Most patients experienced acute or subacute onset, exhibiting sensorimotor disorders.
Frontiers in Aging Neuroscience, 2017 • September 7, 2017
The study investigated the use of combined SPECT and EEG data to improve the differential diagnosis of amnestic disorders. The researchers aimed to see if combining cerebral perfusion data with EEG c...
KEY FINDING: Combining SPECT with EEG biomarkers improved classification accuracy for aSCC vs. AD (90%), aMCI vs. AD (70%), and AD vs. DCI (100%).