Diffusion tensor imaging reveals diffuse white matter injuries in locked-in syndrome patients.

Locked-in syndrome (LIS) is a state of quadriplegia and anarthria with preserved consciousness, which is generally triggered by a disruption of specific white matter fiber tracts, following a lesion in the ventral part of the pons. However, the impact of focal lesions on the whole brain white matter microstructure and structural connectivity pathways remains unknown. We used diffusion tensor magnetic resonance imaging (DT-MRI) and tract-based statistics to characterise the whole white matter tracts in seven consecutive LIS patients, with ventral pontine injuries but no significant supratentorial lesions detected with morphological MRI. The imaging was performed in the acute phase of the disease (26 ± 13 days after the accident). DT-MRI-derived metrics were used to quantitatively assess global white matter alterations. All diffusion coefficient Z-scores were decreased for almost all fiber tracts in all LIS patients, with diffuse white matter alterations in both infratentorial and supratentorial areas. A mixture model of two multidimensional Gaussian distributions was fitted to cluster the white matter fiber tracts studied in two groups: the least (group 1) and most injured white matter fiber tracts (group 2). The greatest injuries were revealed along pathways crossing the lesion responsible for the LIS: left and right medial lemniscus (98.4% and 97.9% probability of belonging to group 2, respectively), left and right superior cerebellar peduncles (69.3% and 45.7% probability) and left and right corticospinal tract (20.6% and 46.5% probability). This approach demonstrated globally compromised white matter tracts in the acute phase of LIS, potentially underlying cognitive deficits.

Resting-state networks distinguish locked-in from vegetative state patients.

PURPOSE: Locked-in syndrome and vegetative state are distinct outcomes from coma. Despite their differences, they are clinically difficult to distinguish at the early stage and current diagnostic tools remain insufficient. Since some brain functions are preserved in locked-in syndrome, we postulated that networks of spontaneously co-activated brain areas might be present in locked-in patients, similar to healthy controls, but not in patients in a vegetative state. METHODS: Five patients with locked-in syndrome, 12 patients in a vegetative state and 19 healthy controls underwent a resting-state fMRI scan. Individual spatial independent component analysis was used to separate spontaneous brain co-activations from noise. These co-activity maps were selected and then classified by two raters as either one of eight resting-state networks commonly shared across subjects or as specific to a subject. RESULTS: The numbers of spontaneous co-activity maps, total resting-state networks, and resting-state networks underlying high-level cognitive activity were shown to differentiate controls and locked-in patients from patients in a vegetative state. Analyses of each common resting-state network revealed that the default mode network accurately distinguished locked-in from vegetative-state patients. The frontoparietal network also had maximum specificity but more limited sensitivity. CONCLUSIONS: This study reinforces previous reports on the preservation of the default mode network in locked-in syndrome in contrast to vegetative state but extends them by suggesting that other networks might be relevant to the diagnosis of locked-in syndrome. The aforementioned analysis of fMRI brain activity at rest might be a step in the development of a diagnostic biomarker to distinguish locked-in syndrome from vegetative state.

Cellular magnetic resonance imaging for the differentiation of infectious and degenerative vertebral disorders: preliminary results.

PURPOSE: To evaluate macrophage imaging using the ability of superparamagnetic iron oxide (SPIO) magnetic resonance imaging (MRI) to differentiate infectious vertebral osteomyelitis and degenerative disk-related inflammatory endplates. The in vivo demonstration of the different distribution of macrophages in those two disorders may allow a more accurate characterization of vertebral endplate abnormalities than classical extracellular MR changes. MATERIALS AND METHODS: In 12 patients with endplate abnormalities (six cases of bacteriologically proven spondylodiscitis, six cases of disk degeneration-related endplate changes), two MRI sessions were realized: before and 24 hours after injection of SPIO. The signal-to-noise ratio (SNR) of endplates were qualitatively and quantitatively compared on pre- and post-SPIO injection T1 and T2-weighted (T2w) MR images (Wilcoxon signed rank test). RESULTS: In the infection group, the SNR of abnormal endplates showed a significant signal loss on T2w MR images (P = 0.03) but not on T1w images (P = 0.46). In the degenerative spine group, no significant signal loss was observed on T1 (P = 0.6) nor on T2w MR images (P = 0.6). Signal loss was only visually observable in abnormal endplate in one patient of the spondylodiscitis group on T2w MR images. CONCLUSION: MRI of the spine with iron oxide injection differentiates infection from aseptic inflammation on quantitative analysis, but the use of SPIO makes direct visual evaluation less satisfactory.