Qiuli Zhang1, Ming Zhang1, Jingxia Dang2, Jiaoting Jin2, Fang Hu2, Haining Li1, Dandan Zheng3, and Yuchen Zhang4
1Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China, People's Republic of, 2Department of Neurology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China, People's Republic of, 3GE Healthcare, MR Research China, Beijing, China, People's Republic of, 4Zonglian College, Xi'an Jiaotong University, Xi'an, China, People's Republic of
Synopsis
Clinical
heterogeneity is a feature in ALS. Here we analyzed
subcortical structure volume and executive function between male and female ALS
patients, compared with corresponding normal controls. Our results showed that
male and female patients exhibited distinct subcortical structure atrophy. The linear
regression results also indicated that compared with male patients, whose
cognitive status was mostly related with age and education level, the executive
dusfunction in female patients may be deteriorated by emotional disorder.Purpose
Accumulating
evidence has demonstrated multi-dimensional dysfunction in amyotrophic lateral
sclerosis (ALS), including motor, cognitive and behavioral impairments. Widespread
cortical and subcortical dysfunction in ALS has been established to understand the
underlying pathological changes in vivo. However, genetic and clinical
heterogeneity contaminated the consistence of these findings and limited the clinical
application for patients management. Evidence from Bede et al has found widespread
basal ganglia impairment in ALS, which was more pronounced in patients carrying
C9orf72 hexnucleotide repeat. Their study indicated that frontolstriatal loop
dysfunction can deepen our understanding of neuropsychological profile of ALS
[1]. In addition, disease
onset, progression pattern, as well as gender dimorphism
also contribute to ALS heterogeneous
[2]. Some studies have hypothesis that female and male ALS
patients may add the heterogeneity in this complex disease. Therefore, we focus on gender differences in ALS through analyzing subcortical structures and cognitive profiles,
especially the subregions of the striatum.
Methods
Forty-
one ALS patients (26 men) and 41 age matched healthy controls (19 men) were
included in this study. Male and female patients showed reduced education level
compared with respective normal controls (F=14.022, P<0.000). GE 3.0T HDxt
was used to acquire 3D-T1 images. We used FIRST (http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FIRST)
to segment the subcortical structures automatically. Normalized subcortical
volume was calculated by multiplying the scaling factor determined by SIENAX. In
order to limit the number of variables, the mean normalized subcortical volume was
estimated by dividing the bilateral total volume. We used revised-ALSFRS,
disease duration, disease progression rate and upper motor neuron score to
evaluate the clinical motor deficits in ALS patients, which showed no group
difference between male and female patients. Global cognitive status was assessed
by MMSE. Because of the sensitivity for executive impairment and heavy load on
the integrity of fronto-striatal circuits, we used digit span (forward and
backward) and semantic fluency (naming animal, fruits and vegetables in 1
minutes, separately) to estimate executive function
[3]. For
statistical analysis, multivariate general linear model was used to analyze volumetric
and cognitive data separately. Group was set as a fixed factor (including male
patients, female patients, male controls and female controls), controlling for
age and education level. Post hoc pairwise comparisons were conducted among
these 4 levels. Linear regression model was only applied in ALS patients with
cognitive score as dependent variable, age, education level and the nucleus with
significant group difference were included as predictors.
Results
Multi-variate
GLM analyses demonstrated reduced volume in three subregions of striatum and
hippocampus. We did not found any group differences between amygdala, thalamus
and globus pallidus. Post hoc pairwise comparison showed atrophy of the caudate
and hippocampus in male patients compared with female controls. While female
patients showed significant reduced volume in accumben nucleus, in contrast with
both male and female controls (Fig. 1). The cognitive performance of MMSE, semantic
fluency and digit span were poorer in both patients than normal controls. In female
patients, atrophy in accumben nucleus and lower education level predict poorer
performance in global cognition (Fig. 2). Lower education level and older age
contributed to poorer cognitive test in male patients.
Discussion
All the
subregions of striatum and hippocampus atrophy can be found in ALS patients, indicating
that subcortical structure, especially striatum should be taking into account in
searching for effective biomarker in ALS. The difference of specific involvement
of subcortical structure between male and female patients, as well as the predictors
for executive function demonstrated gender imparity in the underlying pathology.
Although the caudate nucleus was functional connected with associative network,
which is important in maintain normal cognition[4]. Aging and lower
education level may be more important in deteriorating the executive function
in male patients. Additionally, it is well know that accumben nucleus was
involved in limbic system for emotional processing[4]. Thus, despite
atrophy in accumben nucleus can predict cognitive decline in female patients,
we cannot rule out the influence from emotional disorder, such as depression
and anxiety. Because evidence from depression found that female gender was
important risk factor for depression[5].
Conclusion
Specific
atrophy in striatum and hippocampus between male and female ALS patients, in
combination with their cognitive profile, indicated that we should take into consideration
gender dimorphism for further study. And emotional evaluation should gain our
attention when assessing for cognitive function in female patients, because of
the possibility of exacerbation effect from emotional status.
Acknowledgements
The authors report noconflicts of interest.References
[1] Bede,
P. et al., Neurology, 2013. 81(24): 2107-2115. [2] McCombe, P.A, et al,Gender
medicine, 2010. 7(6): 557-570. [3] Phukan, J., et al., Journal of Neurology,
Neurosurgery & Psychiatry, 2012. 83(1):102-108. [4] Choi, E.Y. et al.Journal
of neurophysiology, 2012. 108(8): 2242-2263. [5] Cole, M.G. et al,American
Journal of Psychiatry, 2003. 160(6):1147-1156.