Ying Xiong1, Qiang Zhang2, and Wenzhen Zhu1
1Department of Radiology, Tongji Hospital, Tongji Medical College, HUST, Wuhan, China, 2Department of Neurology, Tongji Hospital, Tongji Medical College, HUST, Wuhan, China
Synopsis
This
study aims to detailly investigate the alterations in spontaneous brain
activity in T2DM patients with and without MCI and characterize its
relationships with clinical measurements. Forty-four T2DM patients were divided
into two sub-groups(impaired and normal cognition), together with 25 healthy
controls, were scanned at 3Tscanner. T2DM patients with normal cognition had increased
regional-homogeneity in many important brain
regions than controls. Those with MCI exhibited regional-homogeneity in right
inferior frontal gyrus in a further step. Increased
regional-homogeneity correlated with neuropsychological assessment, glycosylated-hemoglobinA1c
and disease duration. Rs-fMRI can be an appropriate approach for studying the alteration
in spontaneous brain activity in diabetes.
Introduction/Purpose
Patients
with Type 2 Diabetes (T2DM) have considerably higher risk of developing mild
cognitive impairment (MCI) and dementia.1
Altered spontaneous brain activity in T2DM has been revealed through resting-state
functional MRI (rs-fMRI).2,3 A number
of patients with diabetes can progress to mild cognitive impairments (MCI), or
even dementia rapidly. However, some of them may stay at an unchanged normal cognition
status for a long period. In this study, we aimed to detailly
investigate the possible alterations in spontaneous brain activity in T2DM
patients with and without MCI, together with the healthy controls. Correlations
between regional
homogeneity (ReHo) changes
and clinical metrics (disease duration and glycated hemoglobin A1c or HbA1c
level, neuropsychological scores) were analyzed.Methods
Subjects With the approval of the Institutional Review Board, 44 T2DM patients
(based on diagnostic criteria of American Diabetes Association, 51-72years)
were divided into cognitive impairment (DM-MCI, n=22, 63.0±5.7years) group and normal
cognition (DM-NC, n=22, 59.1±6.2 years)
group based on the clinical symptoms and a battery of systematic
neuropsychological tests (Mini-Mental State Examination or MMSE, Montreal
Cognitive Assessment or MoCA, Auditory Verbal Learning Test, Trail Making
Tests, Hachinski Test, Activity of Daily Living Test). Blood biochemistry
including plasma fasting/postprandial glucose and glycosylated
hemoglobinA1c (HbA1c) were also tested. Twenty-five healthy subjects were
enrolled as controls. MR data acquisition On a 3 Tesla MRI
scanner (Discovery 750, GE Health Care, Waukesha, Wisconsin, USA) with
32-channel head coil, rs-fMRI data were obtained axially using a gradient-echo
planar imaging (EPI) sequence with the following parameters: TR/TE =2000/35ms,
FOV=24.0×24.0cm2, 40 continuous slices with 4mm slice thickness,
Bandwidth=250kHz, Flip Angle=90°. Data processing The registered fMRI
data were segmented into 90 cerebral regions using the anatomically
labeled (AAL) template.4 To
explore the within-group ReHo patterns, one-sample t tests were performed on
the individual zReHo maps for each group. To display the most significant
results and reflect the intrinsic nature of the zReHo algorithms, a conservative
statistical significance was set at p<0.005 and a cluster size of 27 voxels,
which corresponded to a corrected p<0.005 (multiple comparisons with
AlphaSim, http://afni.nih.gov/afni/docpdf/AlphaSim.pdf).
To investigate the between-group differences of ReHo values, two-sample t tests
were conducted voxel-wisely (within a Gray-Matter mask). The ReHo value was
calculated with the dpabi (Data Processing & Analysis of Brain Imaging)
toolkit5 (www.nitrc.org/projects) and
SPM12 (www.fil.ion.ucl.ac.uk/spm) software. The Pearson’s correlation
coefficients between ReHo values and MMSE/MoCA scores, diabetes duration, and HbA1c
levels were computed. Age and gender were imported as
covariates. The statistical threshold was set at p<0.05 and a minimum
cluster size of 140 voxels, which corresponded to a corrected p<0.05
(AlphaSim correction). The statistical analyses were carried out using SPSS
software (SPSS Inc., Chicago, IL).Results
The DM-MCI group
had longer disease duration (8.7±7.7years) and higher HbA1c (8.1±1.6%) level
than DM-NC group (5.3±4.5years; 6.9±1.3%) (p<0.05). Within-group analysis In every
group, standardized zReHo values in the cingulate cortex, precuneus, and
frontal/parietal/occipital cortex were significantly higher than the global mean
values (Fig.1). Intergroup analysis The DM-NC group showed increased ReHo in the
left superior temporal gyrus, angular gyrus, bilateral calcarine
and lingual gyrus, occipital cortex, and vermis/cerebelum regions than
healthy controls (Fig.2A, table). Compared with the normal cognition group, the
DM-MCI group exhibited a step further increased ReHo in
the right inferior frontal gyrus, triangular part (Fig.2B, table). Correlation
analysis
ReHo value was found to be correlated with HbA1c level in the left cuneus (R=-0.64,
Fig.3A) and diabetic duration in left rectus gyrus (R=0.62, Fig.3B) for all the
T2DM subjects. ReHo values also correlated with neurocognitive scores in the
right middle frontal gyrus (R=-0.68, Fig.3C) and the right superior frontal
gyrus, medial orbital (R=-0.70, Fig.3D).Discussion and conclusions
This
study confirmed the intrinsic and spontaneous neural activity alterations in T2DM
patients. T2DM patients with longer duration and poorer glucose control were
more likely to have cognitive problems. Based on the ReHo measurements, which has been used to analyze the synchronization of a given voxel with its
neighboring voxels,6 increased local neuronal synchronization was detected in many important
brain regions in T2DM subjects. Those patients with cognitive impairment
exhibited increased ReHo in the right inferior frontal
gyrus further. This region might be more vulnerable in T2DM induced
cognitive dysfunction. T2DM induced cognitive impairment is a progressive process,
during which the neuronal synchronization can increase gradually. Rs-fMRI can be an appropriate approach for studying the alteration
in spontaneous brain activity in diabetes.Acknowledgements
This
project was supported by the National Natural Science Funds of China (Grant No. 81601480 and 81471230).References
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