Maria Petracca1, Matteo Battocchio 2, Simona Schiavi2,3, Mohamed Mounir El Mendili1, Lazar Fleysher1, Alessandro Daducci2, and Matilde Inglese1,3
1Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2University of Verona, Verona, Italy, 3University of Genoa/IRCCS AOU San Martino-IST, Genova, Italy
Synopsis
We explored the
presence and clinical impact of interhemispheric disconnection in progressive
multiple sclerosis (PMS) through a tractography-based approach, quantifying the
number of streamlines passing through callosal subregions. In PMS, we
identified a reduced number of streamlines in the splenium and the anterior
portion of the corpus callosum (CC) body. Patients with primary and secondary
progressive phenotype presented different patterns of CC involvement. The
reduced number of streamlines in central and anterior CC was related to motor
disability and fatigue, while loss of the integrity in the posterior portion of
CC was the main feature of cognitively impaired patients.
Purpose
Callosal damage and
disconnection have been described across different multiple sclerosis (MS)
phenotypes, in relationship with both motor and cognitive disability. Motor
callosal disconnection has been reported at the earliest stages of
relapsing-remitting MS (RRMS), prior to development of macroscopic lesion and
in presence of preserved motor function1. In benign MS, deficit of
executive functions and verbal learning are associated with decreased mean
fractional anisotropy (FA) in the body and genu of the corpus callosum (CC)2.
Moreover, in primary-progressive MS (PPMS) baseline callosal damage, quantified
with a voxel-wise analysis of FA, is able to predict motor and cognitive disability
progression at 5-year follow-up3. Based on this background, we
decided to investigate the integrity of callosal subregions in a group of primary
and secondary progressive MS patients (PMS) through a tractography-based
approach, and to explore the clinical impact of interhemispheric disconnection
on objective disability and perceived fatigue. Methods
Twenty-four PMS
patients (16F, mean age 54.8±9.3 years; 12 PPMS, 6F, mean age 53.0±10.9 years and
12 SPMS, 10F, mean age 57.0±6.7years) and 18 healthy controls (HC) (8F, mean
age 50.4±7.9 years) were prospectively enrolled. Patients were classified as
cognitively impaired (CI) when showing z-scores ≤ -2 in at least 2 cognitive domains of the
minimal assessment of cognitive function in MS (MACFIMS) battery. All subjects underwent MRI on a Siemens Skyra
3T. The protocol included: 3D T2-weighted image and T1-weighted
magnetization-prepared rapid gradient echo (MPRAGE) image with voxel size
1x1x1mm3, and a DKI sequence with b-values of 1000, 2000s/mm2
and 30 directions each in addition to b=0s/mm2 images and voxel size
of 2×2×2mm3. For the PMS patients white matter lesions were outlined
on T2-W and T1-W images and a lesion filling was applied on T1-W images to
perform tractography with ACT4. DKI images were corrected for motion
and eddy currents and used to perform tractography with iFOD2 algorithm5
implemented in MRtrix3. From the global tractography obtained, the streamlines
passing through the CC were extracted using the FreeSurfer classical
parcellation in 5 portions: anterior, mid-anterior, central, mid-posterior and
posterior (Figure 1). The number of streamlines passing through these portions
was used to perform between-groups ANOVA and to test partial correlations with
the Expanded Disability Status Scale (EDSS) and the Modified Fatigue Impact
Scale (MFIS). Age and gender were entered as covariates in all statistical
analysis, as well as the volume of the considered CC portion in each subject,
in order to account for anatomical variability. Correlations were further
adjusted for disease duration.Results and Discussion
When compared with HC,
PMS patients showed a significantly lower number of streamlines passing through
posterior (p=0.007) and mid-anterior (p=0.024) CC. Differences in the other CC
portions, although present, did not reach the statistical threshold. The
results of the between group comparison (PMS vs HC) are summarized in Table 1.
A post-hoc analysis
conducted on the patient subgroups showed: (i) significant differences between
SPMS and HC in posterior (p=0.027), central (p=0.008) and mid-anterior (p=0.006)
CC, and between PPMS and HC in posterior CC (p=0.018); (ii) significant
differences between CI patients and HC in posterior (p=0.007) and mid-anterior
(p=0.05) CC.
Global motor
disability, expressed by EDSS, was negatively correlated with the number of streamlines
passing through central and anterior CC. Likewise, global fatigue was
correlated with the number of streamlines passing through central CC and showed
a correlation trend with anterior CC. While disconnection in central CC was
related to physical fatigue, disconnection in anterior CC was related to both
physical and psychosocial fatigue.
Two-tails partial
correlation results with the clinical scores are summarized in Table 2.Conclusion
The analysis of CC
integrity confirms the presence of an interhemispheric disconnection in PMS,
mainly affecting the splenium and the anterior portion of the CC body. PPMS and
SPMS patients presented different degree and pattern of CC involvement, with
PPMS showing predominant loss of streamlines related to the occipito-temporal
regions and SPMS showing additional involvement of the motor and premotor
regions. Loss of the integrity in the posterior portion of CC was the main
feature of CI patients. The different spatial pattern of CC involvement observed
in the two MS phenotype might be related to a different lesion load and
distribution and might be associated to different pattern of grey matter
atrophy. The reduced number of streamlines passing through the central and
anterior portions of CC, which likely results in altered communication between the
motor and prefrontal regions of the two hemispheres, was reflected in both
motor disability and physical/psychosocial fatigue.Acknowledgements
This study was supported in part by the National Multiple Sclerosis Society (NMSS RG 5120A3/1).References
[1] M. Wahl, A. Hübers
A, B. Lauterbach-Soon, E. Hattingen, P. Jung, L. G. Cohen, U. Ziemann. Motor
callosal disconnection in early relapsing-remitting multiple sclerosis.
Hum Brain Mapp.
2011;32:846-55.
[2] M. Bester, M.
Lazar, M. Petracca, J.S. Babb, J. Herbert, R. I. Grossman, M. Inglese M.
Tract-specific white matter correlates of fatigue and cognitive impairment in
benign multiple sclerosis.
J Neurol Sci. 2013;330:61-6.
[3] B. Bodini, M.
Cercignani, Z. Khaleeli, D. H. Miller, M. Ron, S. Penny, A. J. Thompson, O.
Ciccarelli. Corpus callosum damage predicts disability progression and
cognitive dysfunction in primary-progressive MS after five years. Hum Brain
Mapp. 2013;34:1163-72.
[4] R. E. Smith, J.-D.
Tournier, F. Calamante, A. Connelly. Anatomically-constrained tractography:
Improved diffusion MRI streamlines tractography through effective use of
anatomical information. NeuroImage, 2012, 62, 1924-1938.
[5] J.-D. Tournier,
F.; Calamante, A. Connelly. Improved probabilistic streamlines tractography by
2nd order integration over fibre orientation distributions. Proceedings of the
International Society for Magnetic Resonance in Medicine, 2010, 1670.