According to the study, in patients with type 1 diabetes, cognitive impairment was presented as mild in 36.9% (n = 24) of the patients, moderate in 30.76 (n = 20) and severe in 1.53% (n = 1). Neuropsychological testing data showed a decrease in the overall score of the MoCA test and lower scores on the tasks for attention (serial subtraction) and memory (p <0.001).
The characteristics of the patients are presented in Table 1, the groups were comparable, with the exception of the level of fasting glycemia.
Table 1 Characteristics of patients with type 1 DM
Parameters
|
Patients with type 1 DM and cognitive impairment, n=120
|
Patients with type 1 DM without cognitive impairment, n=30
|
P
|
Age, years
|
27[18:45]
|
26 [23:39]
|
0,2
|
Disease duration, years
|
11[1:32]
|
13 [2:24]
|
0,2
|
Fasting plasma glucose, mmol/l
|
9.1 [6.4:16.4]
|
7,9 [5.5:18.3]
|
0,05
|
HbA1c,%
|
7.6[6:12.4]
|
6.9 [4.5:10.3]
|
0,2
|
Body weight index, kg/m2
|
22.6[17.4:30.6]
|
21.8 [16:30.4]
|
0,2
|
Note: p≤0,05 – significant differences |
Interhemispheric asymmetry according to standard brain MRI
Initially, the method of segmentation was used to assess the volume of brain structures, as a result of which the total volumes of white, gray matter, including the hemisphere and hippocampus, were obtained (Table 2).
Table 2 Brain segmentation in patients with type 1 DM
Anatomic region
|
Patients with type 1 DM, n=150
|
P
|
With cognitive impairment, n=120
|
Without cognitive impairment, n=30
|
Grey matter, mm3
|
478009
[457669,1-511273,8]
|
497704
[442993,1-586559,6]
|
0,106
|
Grey matter, left hemisphere, mm3
|
225046
[212392,9-232197,2]
|
252441
[224292,9-271860,4]
|
0,0004
|
Gray matter, right hemisphere, mm3
|
235085
[219200,2-254713,2]
|
253587
[223200,3-270387,4]
|
0,015
|
White matter, mm3
|
455968
[421138,4- 473940,5]
|
503517 [440036,6- 509720,7]
|
0,005
|
White matter, left hemisphere, mm3
|
232213
[217884,9-239910,2]
|
241831 [217516,8-264238,8]
|
0,639
|
White matter, right hemisphere, mm3
|
235509
[211609,8-237965,5]
|
270207
[228287,6-310513,8]
|
0,046
|
Left hippocampus, mm3
|
73 [72,1-73,4]
|
73 [72,9-74,8]
|
0,141
|
Right hippocampus, mm3
|
72 [71,1-73,2]
|
73 [72,4-75,0]
|
0,005
|
Note: p≤0,05 – significant differences |
In patients with type 1 diabetes and cognitive impairments, changes were noted in the volumes of white matter of both hemispheres, gray matter and the hippocampus on the right, compared to the patients from the control group, which indicate signs of atrophy in aforementioned areas.
Interhemispheric asymmetry according to contrast and non-contrast cerebral perfusion
We defined the null hypothesis as the absence of significant differences between the perfusion indices of the right and left cerebral hemispheres, while the alternative hypothesis is the presence of significant differences between the samples. To accept or reject this paradigm, the Mann-Whitney test was applied. Table 3 shows the values of the Mann-Whitney U-statistics for which the alternative hypothesis is accepted, that is, statistically significant differences between the samples are proved.
Table 3 Asymmetry of neurovascularization according to contrast and non-contrast perfusion in patients with type 1 diabetes mellitus and cognitive impairment
Localization and indices of perfusion
|
U-statistics
|
P value
|
Frontal lobe, white matter, MTT/sec
|
201,5000
|
0,032032
|
Temporal lobe, grey matter, ASL/CBF
|
201,5000
|
0,032032
|
Note: U-Mann-Whitney test, p-value ≤ 0.05; MTT - mean transit time, AS, arterial spin labeling - method of spin labeling of arterial blood, CBF - cerebral blood flow. |
Thus, during contrast perfusion in the area of the white matter of the frontal lobe, asymmetry was observed in the parameter of the average time of blood passage. When assessing non-contrast perfusion, differences were shown in the main parameter of cerebral blood flow in the occipital lobe of the gray matter in patients with type 1 diabetes and cognitive impairment. Apparently, this is an example of how the processes of neuroplasticity are implemented, aimed at compensating for cognitive impairments.
Interhemispheric asymmetry as assessed using proton spectroscopy of the brain
Based on the initial data of proton spectroscopy, a correlation matrix was built to check the presence of variables that have a high degree of connection with each other during proton spectroscopy of the brain (Fig. 1).
The figure shows that the relationship between the variables exists, but it is not pronounced enough to exclude any variable, since the maximum coefficient does not exceed 0.8. Therefore, based on the correlation matrix, no feature can be rejected as uninformative. The Kruskal-Wallis test was used to check the informativeness of the features (Table 4).
Table 4 Values of the Kruskal-Wallis rank test for parameters of proton spectroscopy of the brain of patients with type 1 diabetes mellitus
Parameter
|
Statistics
|
p-value
|
NAA left
|
22,62228
|
0,0001
|
NAA right
|
26,53589
|
0,0003
|
Cho left
|
28,52084
|
0,0000
|
Cho right
|
14,18308
|
0,0027
|
Cr left
|
5,721290
|
0,1260
|
Cr right
|
33,81858
|
0,0000
|
Cr2 left
|
29,96852
|
0,0002
|
Cr2 right
|
34,03594
|
0,0001
|
NAA/Cr left
|
33,19992
|
0,0000
|
Naa/Cr right
|
31,45471
|
0,0001
|
NAA/Cho left
|
34,10368
|
0,0004
|
Naa/Cho right
|
33,72973
|
0,0001
|
Cho/Cr left
|
23,58656
|
0,0000
|
Cho/Cr right
|
18,70439
|
0,0003
|
Based on the data in the table, we can conclude that for each variable the hypothesis of significance does not change at the significance level of 0.5, because the p-value does not exceed this figure. Figure 2 shows a diagram of the distribution of the importance of features
Figure 3 demonstrates that the least informative trait is Cr on the left, with the most informative being NAA / Cho on the left and Cr2 on the right. Thus, the asymmetry of the hippocampal region on the right is associated with a change in metabolism depicted as the change in the NAA / Cho ratio.