Pedro Henrique Rodrigues da Silva1, Ana Paula Afonso Camargo2, Antonio Carlos Santos Senra Filho3, Luiz Otavio Murta Junior3, Octávio Marques Pontes Neto2, and Renata Ferranti Leoni1
1Department of Physics, FFCLRP, University of São Paulo, Ribeirão Preto, Brazil, 2Department of Neurosciences and Behavioral Science, FMRP, University of São Paulo, Ribeirão Preto, Brazil, 3Department of Computing and Mathematics, FFCLRP, University of São Paulo, Ribeirão Preto, Brazil
Synopsis
Studies have
suggested that cerebral
white matter hyperintensity (WMH) is due to hypertension and is associated with carotid
artery stenosis (CAS). However,
it is unclear whether this association is attributable to effects on WM and how
asymptomatic
CAS contributes to it. Therefore,
we aimed to assess the association between ACAS and WMH lesions and its
relationship with cognitive decline using MRI to provide information that may help
predicting cases at risk of brain ischemia. Our data showed that ACAS is associated with WMH
lesions and cognitive decline, indicating that ACAS, in addition to age, is
likely to cause WM lesions.
Introduction and Purpose
Cerebral white matter hyperintensity (WMH) lesions are common with
advancing age and are associated with cognitive decline in elderly individuals.
Longitudinal
studies have demonstrated that WMH increases the risk of incident stroke,
dementia, and mortality1. Particularly, WMH is a usual finding on fluid attenuation inversion
recovery (FLAIR-MRI) images of elderly subjects. Although the pathogenesis
of WMH is poorly understood and is probably multifactorial, studies have
suggested that WMH is largely due to hypertension and is associated with carotid
artery stenosis (CAS), considered one of the major causes of ischemic stroke and associated with cognitive
impairment1. However, it is unclear whether this association is
attributable to effects on WM2 and how asymptomatic CAS contributes
to it. Therefore, the
present study aimed to assess the association between ACAS and WMH lesions and
its relation with cognitive decline using MRI to provide information that may help
predicting cases at risk of brain ischemia.Material and Methods
Eleven elderly patients with severe
(≥70%) unilateral ACAS were compared with 11 healthy elderly controls using a
comprehensive neuropsychological battery and FLAIR images. All subjects participated in this study after reading and signing
an informed consent approved by the Ethics in Research Committee of the Clinical
Hospital of Ribeirao Preto. Cognitive assessment included Mini Mental State
Examination (MMSE I), Symbol Digit Test (MMSE II), Digit Span, Trail Making
Test A and B, Stroop Test, Phonemic and Semantic Verbal Fluency Tests and
Complex Rey Figure (copy, immediate and late memory).
MRI was
acquired on a 3T system (Philips) using 32-channel head coil for reception. For
anatomical reference, images were acquired using a 3DT1W GRE sequence
(TR/TE=7/3.1 ms, FA=8°, FOV=240x240 mm2, 160 1-mm slices). FLAIR images were collected using a 2D fast SE
sequence (TR/TE=8000/120 ms, TI=2 s, matrix=256x256, FOV=240x240 mm2, 42 3-mm slices, no gap), and was preprocessed
to remove brain volume (FSL-BET)3, attenuate noise level using AAD
filter4, correct bias field inhomogeneities (N4 filter)5 and
normalize to a T1 space using rigid registration strategy. Then, WMH lesion
load (WMH-LL) estimate was performed in SPM12 applying an automatic algorithm
based on parametric signal comparison with atlas (LST-LPA)6. Each lesion
mask was visually inspected to correct for minor lesion segmentation artifacts.
Lesion load was obtained for regions of WM tracts (WMT).
Cognitive scores and WMH-LL comparison between groups
was performed with Mann-Whitney U Test. Correlations between the scores and WMH-LL were performed using the Spearman
correlation coefficient. Statistical analysis
was performed in STATA14 Software7.
Results
Characteristics of the participants
are summarized in Table 1. Compared with healthy controls, patients had worse information
processing speed scores, poorer memory and complex visuospatial performances and
impaired executive functions. Moreover, patients had higher WMH-LL (p<0.05)
in almost all studied tracts (Table 2 and Figure 1).
When comparing hemispheres ipsi and contralateral to
the stenosis (patient group), WMH-LL in the cingulum (hippocampus) tract showed
significant difference between hemispheres (ipsi: 52.27(88.90); contra:
7.90(11.03); p=0.036).
In the
control group, WMH-LL correlated with global cognition, memory, visuospatial
and executive function measures (p<0.01), while in the patient group the
correlations reduced in number of tracts and cognitive tests involved, with lower
correlations with global cognition and executive function measures (p<0.05)
(Table 4). Interestingly, age was associated with WMH-LL only for the control
group.Discussion
Subjects with ACAS
showed substantial deficits on tasks of mental speed, memory, visuospatial
abilities and executive functions. Compared with healthy controls, patients had higher WMH-LL in almost all
studied tracts. Even the controls presented WMH lesions, as showed in previous
studies of aging2. However, the presence of ACAS significantly
increased the lesion load, indicating that it is associated with WMH, which can
lead to cognitive decline.
Additionally, difference in WMH-LL estimates
was found between the hemispheres ipsilateral and contralateral to the stenosis
in the cingulum tract in patients. The cingulum takes memory
information and integrates it to other parts of the brain. Damage to the
cingulum also damages the hippocampus, which is pivotal in memory storage8.
In general, we found that WMH were associated with
increased decline in global cognition, perceptual speed, memory and executive
functions when comparing patients with controls. These findings suggest that WM
damage contribute to decline in multiple cognitive systems in elderly. Moreover,
it is interesting to note that age correlated with WMH-LL only in controls,
indicating that CAS even at presymptomatic stage is more important than age in
the contribution to WMH-LL.Conclusion
Our data showed that ACAS is associated with WMH
lesions and cognitive decline, indicating that ACAS, in addition to age, is
likely to cause white matter lesions.Acknowledgements
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, CAPES, Brasil.References
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