Abstract
Thyroid dysfunction is very often accompanied by cognitive and affective disorders. The frequency of these disorders in patients with compensated Hashimoto’s thyroiditis (HT) is unknown. The aim of the present study was to evaluate brain dysfunction in euthyroid HT patients by means of event-related potentials (ERP) and magnetic resonance spectroscopy (MRS) and to correlate it with cognitive function. 68 patients with HT (59 female, 9 male) and 45 healthy controls were included in the study. All the patients underwent ERP including an analysis of N200 and P300 response parameters. MRS voxels were located in the posterior cingulate gyrus (PCG) and the left parietal white matter (PWM). The NAA/Cr, mI/Cr, and Cho/Cr ratios were analysed. The ERP parameters, MRS metabolite ratios and hormonal concentrations (TSH, fT3, fT4) as well as TGAb and TPOAb titer were also correlated. There was a significant prolongation of the latencies of N200 and P300 potentials and a significant decrease of P300 amplitude in HT patients than in the control group. There was a significant positive correlation between the mI/Cr ratio in the PCG area and P300 latencies. NAA/Cr ratio in the PCG region showed significant negative correlations with all N200 latencies. The results may suggest brain dysfunction in neurologically asymptomatic HT patients. ERPs undergo significant changes in patients with HT and may, in combination with MRS, constitute an important element in the recognition and monitoring of cognitive functions in this group of patients.
Subject terms: Neuroscience, Endocrinology, Neurology
Introduction
Hashimoto's thyroiditis (HT) is currently the most common autoimmune disease in humans1. Thyroid dysfunction is often accompanied by cognitive and affective disorders. The occurrence of cognitive disorders is particularly important, which are often overlooked, and can lead to the development of depression and have a great impact on the quality of life of patients2,3. Symptomatic clinically hypothyroidism can lead to changes in many cognitive domains, including attention, concentration, memory, and executive functions 4,5. Subclinical hypothyroidism may have a similar but more subtle effect on cognitive function6. However, there are few reports on cognitive disorders in patients with HT with compensated thyroid function, in whom difficulties with memory, focusing attention, or slowing down of thinking are often observed7,8. The cause of these symptoms has not yet been clarified.
One of the non-invasive and repeatable methods for assessing bioelectrical activity of non-specific areas of the brain associated with information processing processes is the study of cognitive event-related potentials (ERP). They allow us to objectify the clinical assessment of intellectual and cognitive functions9,10. In clinical practice, they allow to assess memory, decision-making and attention span processes11–13. ERPs are formed in extensive central nervous system neural networks, enabling assessment of the integrity and functional activity of the nerve pathways at the cortical and sub-cortical levels. Averaged cortical responses form a complex of components that correspond to the subsequent stages of recognition, analysis, and classification of the stimulus based on defined cognitive functions11. The most commonly used and best known in clinical practice is the potential of P300, also called by many researchers "the wave of attention"14,15. The method requires the active participation of the examined person and completing the task associated with a stimulus of a certain modality. It is believed that latency is a measure of the time spent on developing a stimulus and the amplitude indicates the size of the cognitive structures involved and corresponds to the subjective measure of the difficulty of the task16. The P300 wave itself arises when the problem is solved. The N200 wave, much less frequently evaluated and analysed in the literature, reflects the processes of initial identification and analysis of the stimulus. Most often it is an unconscious process and defined as readiness to solve a task14,17. One of the practical applications of ERP are attempts to use it as a diagnostic method in early diagnosis and assessment of the progress of the dementia process of various etiologies. Prolongation of P300 wave latency has been reported in patients with vascular or Alzheimer's dementia, Parkinson's disease, multiple sclerosis or metabolic encephalopathies16,18. Changes in ERP were also found in 42.5–56.6% of multiple sclerosis patients with cognitive impairment. They correlated with general disability and the duration of the disease. It has also been shown that depressive disorders are not only of cortical but also subcortical origin19,20.
Magnetic resonance (MR) is the method of choice in imaging of the brain. The advanced MR techniques empower the assessment of alterations which are far beyond the anatomical structure, searching deeper to discover any other variations almost at the cellular level. Magnetic resonance spectroscopy (MRS) has enabled the evaluation of certain metabolites in a variety of disorders involving the central nervous system (CNS). MRS is capable of detecting the changes in metabolite profiles in normal appearing white matter (NAWM) and normal appearing grey matter (NAGM)21,22. Accordingly, this advanced MR method may provide a potentially unique insight into the pathophysiology of cerebral changes associated with HT. Moreover, it should be stressed that in the available world literature there are no articles concerning the analysis of metabolic alterations within NAWM and NAGM in patients with HT apart from a single study by Bladowska et al.
The aim of the present study was to evaluate brain dysfunction in HT patients by means of ERP and MRS and to correlate it with cognitive function.
Material and methods
The study comprised 68 patients with HT (59 women and 9 men, aged 20–63 years, mean 44.3) who met the criteria for the diagnosis of HT1. All the patients underwent ultrasound examination of the thyroid gland, were in the euthyreosis phase and treated with levothyroxine.
Patients with the presence of any neurological, psychiatric, cognitive, and autoimmune diseases, history of traumatic brain injury, underweight (BMI < 18.5 kg/m2) or obesity with a BMI of ≥ 35 kg/m2, defects in hearing, and administration of medications which change brain bioelectrical activity (e.g. neuroleptics, steroids, antiepileptic) were excluded. The control group (CG) consisted of 45 age and sex-matched healthy volunteers (39 women and 6 men, aged 22–64 years, mean 44.1). The exclusion criteria and the study protocol were the same in the CG.
The study protocol included a detailed neurological examination, with assessment of mental state using the Montreal Cognitive Assessment test (MoCA), Trail Making Test (TMT-A), Symbol Digit Modalities Test (SDMD) and Clock-Drawing Test (CDT) to screen for cognitive impairment, ERP and MRI examination. Laboratory tests included serum concentration of thyrotropin (TSH), free tri-iodothyronine (fT3), free thyroxine (fT4), and serum auto-antibodies against thyroid peroxidase (TPOAb) and thyroglobulin (TGAb) titers.
Approval for this research was given by the Commission of Ethics at the Wrocław Medical University (number of permission: KB-313/2013). Informed consent was obtained from each patient to participate in this study.
Event related potentials protocol
Brain bioelectrical activity was recorded using superficial Ag/AgCl electrodes placed in the frontal region (Fz), central region (Cz) and parietal region (Pz), according to the international 10–20 system, with reference to linked earlobes and with a forearm ground. Impedance of all electrodes was maintained below 5 kΩ. ERP were elicited using the classic auditory “oddball paradigm”. The target tones (high frequency: 2000 Hz) occurred 20% of the time in each trial and non-target tones (low frequency: 1000 Hz) 80% of the time. Auditory stimuli were tones of 70 dB intensity and 200 ms duration. The patients were sitting in a comfortable position in a semi-darkened room and were asked to mentally count the stimuli. At least 30 target trials were averaged in each run and two runs were performed with each patient.
The responses were evaluated by means of a Nicolet 1000 Viking, with a 0.30/s, 70 Hz bandpass filter, sweep time 1000 ms and pre-stimulus baseline 250 ms. N200 was identified as a negative component with a latency of 180–320 ms and P300 was identified as a positive component with a latency of 280–450 ms after start of the stimulus. The latencies and amplitudes of N200 and P300 waves (“peak to peak”) were analysed. The procedure was compliant with the International Federation of Clinical Neurophysiology (IFCN) recommended standards11,15. We used the same methods as in our previous paper18.
MR imaging
Imaging was performed with a 1.5 T SignaHdx MR scanner (GE Healthcare) using a head and neck 16-channel coil. The conventional MR sequences included: axial T1-weighted, axial, sagittal, and coronal T2-weighted images, FLAIR (fluid-attenuated inversion recovery sequence) and diffusion-weighted imaging (DWI) images. The protocol of magnetic resonance spectroscopy (MRS) examination used in our study was exactly the same as in previously published papers21. Post-processing of the images was performed using updated ReadyView software (GE Healthcare, ADW 4.6).
Magnetic resonance spectroscopy protocol
The MRS examinations were conducted using the Single Voxel Spectroscopy (SVS) method (PRESS sequence) with the following acquisition parameters: TE = 35 ms, TR = 1500 ms, 128 acquisitions, number of excitations = 8. Using the localising axial T2-weighted images, voxels of 2 × 2 × 2 cm (8 cm3) size were placed in the normal appearing brain in 2 regions: the posterior cingulate gyrus cortex—PCG (Fig. 1) and the left parietal white matter—PWM (Fig. 2). The total acquisition time was 3 min 45 s for each voxel. MR spectroscopy studies were conducted by using the automated single-voxel MR spectroscopy package Proton Brain Examination/Single Voxel (PROBE/SV; GE Medical Systems, Milwaukee, WI). The pre-imaging algorithm of the PROBE software automatically adjusted the transmitter and receiver gains and centre frequency. The local magnetic field homogeneity was optimised with the three-plane auto-shim procedure with linear gradient shimming, and the flip angle of the third water-suppression pulse was adjusted for chemical shift water suppression (CHESS) before PRESS acquisition. Each spectrum was automatically fitted to four peaks corresponding to the levels of N-acetylaspartate (NAA) (2.02 ppm), total creatine (Cr) (3.03 ppm), choline-containing compounds (Cho) (3.23 ppm) and myo-inositol (mI) (3.56 ppm). Metabolite intensity ratios of NAA/Cr, Cho/Cr, and mI/Cr were automatically calculated at the end of each PROBE/SV acquisition.
Figure 1.
MR spectroscopy: axial T2-weighted image (A) showing a single voxel placed in the posterior cingulate gyrus region (PCG). The obtained spectrum (B) revealed a decrease in the NAA/Cr ratio in PCG. Figures
source: Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University; images performed with a with a 1.5 T SignaHdx MR scanner (GE Healthcare).
Figure 2.
MR spectroscopy: axial T2-weighted image (A) presenting a single voxel placed in the left parietal white matter (PWM). The obtained spectrum (B) showed a decreased NAA/Cr ratio in PWM. Figures source: Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University; images performed with a with a 1.5 T SignaHdx MR scanner (GE Healthcare).
MRS data were post-processed by means of software provided by the manufacturer (GE workstation, ADW 4.4). The ratios of NAA, Cho, and mI to creatine (NAA/Cr, Cho/Cr, mI/Cr, respectively) were assessed. We used the same methods as in our previous paper21,22.
Statistical analysis
Statistical computations were performed using the Statistica PL software package version 13.0, and p < 0.05 was set as a significant level.
The event-related potentials (ERP) values in patients with HT and healthy subjects were compared using the Student T-test. Additionally, in order to assess sensitivity, specificity, and accuracy of ERP in distinguishing patients with HT and normal controls, receiver-operating characteristic (ROC) analysis was performed for ERP showing the most significant differences between these two groups. The rate of accuracy was based on the area under the ROC curve. Associations between event-related potentials and MRS measurements in patients with HT were assessed using Pearson’s correlation coefficient.
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Approval for this research was given by the Commission of Ethics at the Wrocław Medical University (number of permission: KB-313/2013). Informed consent was obtained from each patient to participate in this study. This article does not contain any studies with animals performed by any of the authors.
Informed consent
Informed consent was obtained from all individual participants included in the study.
Results
Endocrinological, neurological examination and cognition
The mean value for TSH was 1.94 ± 1.08 UIU/ml (normal value 0.35–5.6 UIU/ml), fT3 2.94 ± 0.40 pg/ml (normal value 2.5–3.9 pg/ml), fT4 1.03 ± 0.16 ng/dl (normal value 0.61–1.12 ng/dl), TPOAb 482 ± 371 IU/ml, TGAb 133 ± 238 IU/ml (Table 1). The disease duration ranged from 7 to 41 years, and the average disease duration was 39 months (for women 37 months and for men 14 months).
Table 1.
Demographic and laboratory characteristics of HT patients and control group.
| HT patients (n = 68) | Control group (n = 45) | p value | |
|---|---|---|---|
| Sex (female/male) | 59/9 | 39/6 | 0.461 |
| Age (years) | 44.3 | 44.1 | 0.367 |
| Education (years) | 11.5 | 12 | 0.275 |
| BMI (kg/m2) | 24.6 ± 3.1 | 24.7 ± 3.3 | 0.402 |
| TSH (UIU/ml) | 1.94 ± 1.08 | 1.71 ± 1.1 | 0.167 |
| fT3 (PG/ml) | 2.94 ± 0.40 | 2.91 ± 0.46 | 0.225 |
| fT4 (NG/dl) | 1.03 ± 0.16 | 1.06 ± 0.23 | 0.243 |
| TGAb (IU/ml) | 133 ± 238 | – | – |
| TPOAb (IU/ml) | 482 ± 371 | – | – |
| dose of levothyroxine (µg/day) | 64 ± 37 | – | – |
At diagnosis 45 patients (38 women, 7 men) have overt hypothyroidism and 23 (21 women, 2 men) have subclinical hypothyroidism.
The neurological examination and the results of the MoCA, TMT-A, SDMT and CDT were normal in all patients (100%).
Event-related potentials
The mean values for the latency of N200 and P300 potentials recorded from all electrodes (Fz, Cz, Pz) were significantly longer in HT patients than in the control group (p < 0.001). The mean amplitude of P300 potentials recorded from all electrodes was significantly lower in HT patients than in the control (Table 2).
Table 2.
The mean value of the latency (ms) and amplitude (uV) of N200 and P300 potentials in patients with HT and in the control group.
| ERP | HT patients (n = 68) | Control group (n = 45) | p-value | ||
|---|---|---|---|---|---|
| Mean | SD | Mean | SD | ||
| Latency (ms) | |||||
| N200 Fz | 246.5 | 34.7 | 211.5 | 20.2 | < 0.001 |
| Cz | 245.6 | 33.7 | 211.3 | 20.6 | < 0.001 |
| Pz | 245.9 | 32.9 | 212.1 | 19.7 | < 0.001 |
| P300 Fz | 351.6 | 22.5 | 322.8 | 21.2 | < 0.001 |
| Cz | 352.1 | 22.7 | 323.5 | 22.3 | < 0.001 |
| Pz | 353.4 | 22.4 | 325.6 | 22.9 | < 0.001 |
| Amplitude (uV) | |||||
| N200 Fz | 3.51 | 2.83 | 4.00 | 2.44 | 0.36 |
| Cz | 3.39 | 2.23 | 3.44 | 2.53 | 0.92 |
| Pz | 2.99 | 2.18 | 3.06 | 1.89 | 0.86 |
| P300 Fz | 5.57 | 3.68 | 8.04 | 3.93 | 0.002 |
| Cz | 5.63 | 3.72 | 8.02 | 3.73 | 0.001 |
| Pz | 5.03 | 3.59 | 7.86 | 3.81 | 0.0001 |
ERP event-related potential, HT Hashimoto’s thyroiditis, SD standard deviation, Fz frontal region, Cz central region, Pz parietal region.
Event-related potentials in HT patients and control group according to age
In order to compare HT patients to control group according to their age, HT patients and CG were divided into three groups as follows: 20–39 years, 40–59 years and over 60 years old.
HT patients showed a statistically significant longer N200 and P300 latencies and lower P300 amplitudes from all electrodes in all aged groups compared to the control group (Table 3).
Table 3.
Mean values and standard deviations (SD) of N200 and P300 parameters in HT patients depending on their age.
| Age | 20–39 years | 40–59 years | > 60 years | ||||||
|---|---|---|---|---|---|---|---|---|---|
| No of patients | HT (n = 26) | CG (n = 17) | p-value | HT (n = 30) | CG (n = 18) | p-value | HT (n = 12) | CG (n = 10) | p-value |
| Mean (SD) | Mean (SD) | Mean (SD) | Mean (SD) | Mean (SD) | Mean (SD) | ||||
| Latency (ms) | |||||||||
| N200 Fz | 231.3 (31.9) | 204.1 (19.1) | < 0.001 | 249.3 (30.5) | 212.8 (20.5) | < 0.001 | 272.6 (35.2) | 223.0 (17.3) | < 0.001 |
| Cz | 231.6 (31.9) | 201.4 (17.4) | < 0.001 | 248.0 (29.4) | 213.7 (20.7) | < 0.001 | 270.2 (34.3) | 225.1 (18.1) | 0.001 |
| Pz | 233.7 (30.0) | 202.7 (18.3) | < 0.001 | 247.8 (31.5) | 214.1 (18.3) | < 0.001 | 267.9 (32.4) | 225.1 (17.5) | 0.001 |
| P300 Fz | 338.7 (21.8) | 312.8 (19.8) | < 0.001 | 354.5 (17.3) | 323.4 (19.9) | < 0.001 | 372.1 (18.6) | 340.5 (14.4) | < 0.001 |
| Cz | 337.9 (20.6) | 313.8 (19.6) | < 0.001 | 355.5 (16.7) | 324.7 (24.2) | < 0.001 | 374.7 (19.5) | 339.6 (13.5) | < 0.001 |
| Pz | 341.5 (19.8) | 318.1 (22.5) | < 0.001 | 355.3 (16.9) | 325.2 (24.7) | < 0.001 | 374.5 (24.7) | 340.9 (11.8) | < 0.001 |
| Amplitude (uV) | |||||||||
| N200 Fz | 4.68 (3.72) | 5.17 (2.95) | 0.65 | 2.88 (1.76) | 3.11 (1.51) | 0.65 | 2.58 (1.97) | 3.56 (2.23) | 0.28 |
| Cz | 4.14 (2.85) | 4.24 (3.61) | 0.92 | 2.95 (1.65) | 2.83 (1.51) | 0.81 | 2.89 (1.56) | 3.16 (1.35) | 0.68 |
| Pz | 3.31 (2.73) | 3.34 (2.78) | 0.96 | 2.80 (1.87) | 2.67 (0.99) | 0.80 | 2.76 (1.53) | 3.24 (1.10) | 0.42 |
| P300 Fz | 5.65 (2.83) | 9.86 (4.75) | < 0.001 | 6.03 (4.58) | 6.12 (2.56) | 0.96 | 5.41 (2.93) | 8.39 (2.87) | 0.02 |
| Cz | 5.38 (2.44) | 9.96 (4.56) | < 0.001 | 6.15 (4.91) | 6.31 (2.53) | 0.89 | 4.90 (2.48) | 7.65 (2.35) | 0.01 |
| Pz | 4.81 (2.57) | 10.2 (4.43) | < 0.001 | 5.76 (4.55) | 6.85 (2.63) | 0.94 | 3.68 (2.33) | 7.5 (2.18) | < 0.001 |
CG control group, HT Hashimoto’s thyroiditis, SD standard deviation, Fz frontal region, Cz central region, Pz parietal region.
Event-related potentials in HT patients depending on the length of the disease
In order to compare HT patients to the control group according to the duration of the disease, HT patients were divided into four groups as follows: duration of the disease up to 10 years (19 subjects), duration of the disease 11–20 years (20 subjects), duration of the disease 21–30 years (16 subjects), duration of the disease over 30 years (13 subjects).
HT patients showed a statistically significant longer N200 and P300 latencies and lower P300 amplitudes from all electrodes in all groups compared to the control group (Table 4).
Table 4.
Mean values and standard deviations (SD) of N200 and P300 parameters in HT patients depending on the duration of the disease.
| Duration of the disease | N/A | < 10 years | 11–20 years | 21–30 years | > 30 years | ||||
|---|---|---|---|---|---|---|---|---|---|
| No of patients | CG (n = 45) | HT (n = 19) | HT vs CG | HT (n = 20) | HT vs CG | HT (n = 16) | HT vs CG | HT (n = 13) | HT vs CG |
| Mean (SD) | Mean (SD) | p-value | Mean (SD) | p-value | Mean (SD) | p-value | Mean (SD) | p-value | |
| Latency (ms) | |||||||||
| N200 Fz | 211.5 (20.2) | 232.4 (27.9) | 0.001 | 234.2 (30.1) | < 0.001 | 256.9 (34.3) | < 0.001 | 273.4 (33.8) | < 0.001 |
| Cz | 211.3 (20.6) | 232.3 (28.9) | 0.001 | 234.5 (29.1) | < 0.001 | 255.9 (33.4) | < 0.001 | 270.4 (32.8) | < 0.001 |
| Pz | 212.1 (19.7) | 235.2 (25.4) | 0.002 | 233.4 (28.9) | 0.001 | 256.5 (36.4) | < 0.001 | 268.0 (31.0) | < 0.001 |
| P300 Fz | 322.8 (21.2) | 336.3 (21.5) | 0.02 | 347.7 (16.7) | < 0.001 | 358.9 (19.7) | < 0.001 | 370.8 (18.5) | < 0.001 |
| Cz | 323.5 (22.3) | 336.4 (21.7) | 0.04 | 347.6 (14.2) | < 0.001 | 359.3 (20.0) | < 0.001 | 373.3 (19.3) | < 0.001 |
| Pz | 325.6 (22.9) | 340.6 (20.2) | 0.01 | 348.0 (14.1) | < 0.001 | 359.1 (20.6) | < 0.001 | 373.4 (24.0) | < 0.001 |
| Amplitude (uV) | |||||||||
| N200 Fz | 4.00 (2.44) | 4.66 (3.88) | 0.41 | 3.58 (2.65) | 0.54 | 2.93 (1.72) | 0.11 | 2.46 (1.93) | 0.14 |
| Cz | 3.44 (2.53) | 4.04 (2.92) | 0.42 | 3.39 (2.19) | 0.94 | 3.02 (1.79) | 0.54 | 2.92 (1.52) | 0.48 |
| Pz | 3.06 (1.89) | 3.22 (2.39) | 0.77 | 3.03 (2.49) | 0.96 | 2.88 (2.16) | 0.75 | 2.73 (1.49) | 0.57 |
| P300 Fz | 8.04 (3.93) | 6.04 (3.19) | 0.05 | 5.89 (4.58) | 0.05 | 5.55 (3.88) | 0.03 | 5.50 (2.82) | 0.03 |
| Cz | 8.02 (3.73) | 5.69 (2.66) | 0.01 | 5.94 (4.79) | 0.05 | 5.71 (4.39) | 0.05 | 5.02 (2.41) | < 0.001 |
| Pz | 7.86 (3.81) | 4.95 (2.54) | 0.01 | 5.02 (4.26) | 0.001 | 6.16 (4.48) | 0.01 | 3.86 (2.21) | < 0.001 |
CG control group, HT Hashimoto’s thyroiditis, SD standard deviation, Fz frontal region, Cz central region, Pz parietal region.
ROC analysis for event-related potentials
ROC analysis was performed separately for the N200 and P300 ERP components (Table 5, Figs. 3, 4). Both ROC curves demonstrated good diagnostic accuracy with the area under the curve above 0.80 for the latency value of N200 (Fig. 3) and for the latency value of P300 (Fig. 4a–c). ROC analysis for the value of the amplitude showed good accuracy with the area under the curve above 0.70 only for P300 components (Fig. 4d–f).
Table 5.
Results of ROC analyses for the N200 and P300 ERP components.
| ERP | Cut point values | Specificity | Sensitivity | Accuracy |
|---|---|---|---|---|
| Latency (ms) | ||||
| N200 Fz | 225 | 0.84 | 0.67 | 0.82 |
| Cz | 224 | 0.84 | 0.66 | 0.82 |
| Pz | 221 | 0.84 | 0.67 | 0.82 |
| P300 Fz | 343 | 0.86 | 0.71 | 0.82 |
| Cz | 344 | 0.91 | 0.67 | 0.82 |
| Pz | 349 | 0.91 | 0.57 | 0.81 |
| Amplitude (uV) | ||||
| P300 Fz | 4.71 | 0.8 | 0.57 | 0.71 |
| Cz | 5.23 | 0.77 | 0.66 | 0.73 |
| Pz | 5.32 | 0.82 | 0.66 | 0.75 |
ERP event-related potential, Fz frontal region, Cz central region, Pz parietal region.
Figure 3.
(a–c) The receiver-operating characteristic (ROC) curves for the N200 latency. (a) Fz N200. (b) Cz N200. (c) Pz N200. Fz frontal region, Cz central region, Pz parietal region; X axis—specificity; Y axis—sensitivity.
Figure 4.
(a–f) The receiver-operating characteristic (ROC) curves for the P300 components. (a) Fz latency. (b) Cz latency. (c) Pz latency. (d) Fz amplitude. (e) Cz amplitude. (f) Pz amplitude. Fz frontal region, Cz central region, Pz parietal region; X axis—specificity; Y axis—sensitivity;
Correlations of ERP and MRS measurements
There was a significant positive correlation between the mI/Cr ratio in the PCG area and P300 latencies (Fz, Cz, Pz) (r = 0.224, p = 0.045; r = 0.225, p = 0.035; r = 0.252, p = 0.038, respectively) (Fig. 5a–c). NAA/Cr ratio in the PCG region showed significant negative correlations with all N200 latencies (Fz, Cz, Pz) (r = -0.358, p = 0.003; r = − 0.329, p = 0.006; r = − 0.311, p = 0.01, respectively) (Fig. 5d–f).
Figure 5.
(a–f) Correlations of ERP and MRS measurements in the posterior cingulate gyrus (PCG) region. (a) A significantly positive correlation between mI/Cr ratio and P300 Fz latency (r = 0.224, p = 0.045). (b) A significantly positive correlation between mI/Cr ratio and P300 Cz latency (r = 0.225, p = 0.035). (c) A significantly positive correlation between mI/Cr and P300 Pz latency (r = 0.252, p = 0.038). (d) A significantly negative correlation between NAA/Cr ratio and N200 Fz latency (r = -0.358, p = 0.003). (e) A significantly negative correlation between NAA/Cr ratio and N200 Cz latency (r = − 0.329, p = 0.006). (f) A significantly negative correlation between NAA/Cr ratio and N200 Pz latency (r = − 0.311, p = 0.01). Fz frontal region, Cz central region, Pz parietal region, NAA N-acetylaspartate, Cr creatine, mI myo-inositol.
There were no significant correlations between ERP and metabolite ratios in the PWM region.
There were no statistically significant differences between ERP and MRS parameters in patients with different initial diagnosis—overt hypothyroidism and subclinical hypothyroidism.
Correlations of EPR and thyroid hormones
There were no statistically significant correlations between the mean ERP parameters, thyroid hormones levels, and TGAb and TPOAb either.
Correlations of MRS measurements and thyroid hormones
The MRS parameters showed no statistically significant correlations neither with thyroid hormones levels nor TGAb and TPOAb .
Discussion
The clinical manifestations of autoimmune thyroiditis are not specific and are often low. However, many patients report numerous subjective complaints that have a significant impact on their quality of life5,7. In The Colorado Thyroid Disease Prevalence Study conducted in 2000, 18,750 people with compensated thyroid function were identified among 25,000 people in the general population, 114 patients with overt hypothyroidism and over 2300 patients with subclinical hypothyroidism23. It was shown that 12.1% of patients with euthyroid thyroid disease and 13.7% of patients with subclinical hypothyroidism reported constellations of symptoms and complaints found in 16.6% of patients with overt hypothyroidism. Among the reported complaints, memory disorders (24%), slow thinking (22%) and fatigue (18%) were most frequently mentioned23. Sharma et al.24 analysed the clinical profile of 13 patients with diagnosed Hashimoto encephalopathy (HE) for the complaints reported by patients. Most often, patients complained of memory and concentration disorders and cognitive impairment (76.9%), sleep disorders (69.21%) including hypersomnia (46.2%) or insomnia (23%). The pathomechanism of these symptoms has not yet been clarified.
Up to now, ERP and MRS studies have not been conducted in large groups of patients with hormonally compensated Hashimoto's thyroiditis. It is worth mentioning that Bladowska et al. assessed metabolic alterations within the normal appearing brain in 55 subjects with HT using MRS and they also correlated MRS measurements with hormonal concentrations22. They found significantly decreased NAA/Cr ratios in PCG and parietal white matter (PWM) in HT patients. Their results also showed significant positive correlations between the NAA/Cr ratio and fT3 level. Since the reduction of NAA/Cr ratios suggests a decrease of neuronal activity, the study by Bladowska et al. indicated the early cerebral metabolic disturbances associated with Hashimoto’s thyroiditis and thus suggesting that MRS could be a sensitive marker of cognitive decline in presymptomatic subjects22. A few, isolated studies describe cases of a rare complication of Hashimoto's encephalopathy25. A report describing the results of MRS in a 52-year-old woman with HE was published by Chinese authors. In the patient's brain they found a reduced level of NAA and mI, in addition—diffuse, atypical inflammatory changes26. In a SPECT study, features of diffuse hypoperfusion were described in patients with HE27.
We have found significantly longer latencies in the N200 and P300 components in HT patients, and reduced P300 wave amplitudes in all leads. During the ERP and brain imaging examinations, all patients remained in euthyreosis and none of them had signs of CNS damage in the neurological examination. People with conditions that could affect brain bioelectrical activity and/or damage the nervous system were excluded from the analysis.
Changes in ERP parameters are a measure of the depth of cognitive impairment, however, their bundles with the severity and extent of changes in the CNS remain ambiguous14. Despite specific CNS structures generating individual ERP components such as prefrontal, temporo-parietal cortex and hippocampal region, their result is considered to reflect the overall functioning of extensive neural networks14,16. Analysing the correlations of various neuropsychological tests with ERP, no specific tests were identified that would best correlate with ERP results. The results of various authors are ambiguous and most often relate to tests used to assess global cognitive functioning28,29.
Interestingly, we found significant correlations of ERP and MRS measurements. NAA/Cr ratio in the PCG region showed significant negative correlations with all N200 latencies. NAA is a neuronal marker, thus its concentration correlates with neuronal density and neuronal function. As mentioned above, the decrease of NAA/Cr ratio may indicate a reduction of neuronal activity. We observed that the lower NAA/Cr ratios in the PCG region, the longer are the values for the latency of N200 potentials recorded from all electrodes. Furthermore, it should be stressed that the PCG is a very special brain region involved in cognitive function. The PCG is a part of the memory-related default mode network (DMN), an important system of interacting brain regions associated with Alzheimer's Disease (AD). Disorders of the DMN are considered to be an important feature of AD. Moreover, the PCG cortex plays important roles in episodic memory, spatial attention, self-evaluation, and other cognitive functions30. Studies have been suggested that abnormal outgoing connections from the PCG cortex to other brain areas may be an imaging biomarker for the early stages of cognitive impairment, especially AD. The most important goal is to perform medical interventions as early as possible. It has been reported that early appropriate management of risk patients can not only effectively delay the progression of the disease and extend survival, but also improve the quality of life of the affected subjects and reduce the burden on the whole of society30.
According to these findings our results suggest that both the decrease of NAA/Cr ratio and the longer values for the latency of N200 potentials may indicate the functional deterioration in the PCG cortex.
Furthermore, there was also a significant positive correlation between the mI/Cr ratio in the PCG area and P300 latencies. It is known that mI is an in vivo biomarker of glial cell inflammation and activation. Increased mI levels are thought to be connected with CNS inflammation and gliosis, which may be responsible for neuronal dysfunction21,22. It should be emphasised that we did not observe any significant correlations between ERP and metabolite ratios in the white matter of the PWM region, which means that functional impairment may begin in the cortex. Thus early functional disorders can be evaluated with assessing bioelectrical activity of cortical areas of the brain using the cognitive event-related potentials.
Our findings showing the significant relationship between the increased mI/Cr ratio in the PCG cortex and the longer values for the latency of P300 potentials are in accordance with our other results described above, suggesting that MRS and ERP may serve as a useful tool in indicating the risk group of patients prone to developing cognitive impairment and thus to be taken care of as soon as possible.
Although studies have shown an increased risk of cognitive impairment in HT patients, even in the euthyroid state, the mechanisms behind it remain unclear3,8. Long-term potentiation in the Schaffer collateral-CA1 pathway of the hippocampus may to play a key role in the development of these disorders. In a study on an experimental model of euthyroid HT mice, abnormalities in synaptic plasticity of the Schaffer collateral-CA1 synapses in the hippocampus, worse memory and spatial learning were shown. In transmission electron microscopy the synapses and astrocytes in the hippocampus was damaged. The elements in glutamate-glutamine circulation located in astrocytes, were downregulated and elevated levels of glutamate in the hippocampus was observed30,31.
Other studies suggested that inflammation characterised by elevated cytokines plays a key role in the pathogenesis of cognitive impairment in HT7,24. Previous studies have shown increased production of cytokines, including interleukin-1β, interleukin-6, tumour necrosis factor alpha and monocyte chemotactic protein-1 in patients with HT. Vitamin D participates in modulating the secretion of cytokines and these results suggest that vitamin D deficiency may play a key role in the cognitive impairment of HT patients7. Similar conclusions can be drawn from the study by Cai et al., who demonstrated astrocyte and microglia activation with increased expression of proinflammatory cytokine genes in the frontal cortex on experimental models of an HT mouse, which influenced the serotonin system in this region of the brain32. No significant direct effect of the anti-thyroid antibodies themselves on the structures of the central nervous system has been demonstrated, although some researchers have suggested that they may weaken the integrity of the myelin sheath and affect many neurotransmitters3.
As mentioned above, we observed significant metabolic changes in the PCG region as well as significant correlations between MRS parameters and ERP. Our results indicate that there are alterations in the important brain region involved in the cognition process, thus obviously leading to cognitive impairment in HT patients. However, it should be stressed that the advanced MR techniques, although able to show even subtle preclinical changes, do not allow us to speculate as to which mechanism could be responsible for brain injury and finally cognitive impairment, as their results are non-specific. By using the MRS method it is possible to assess the metabolic impairment in specific brain regions such as the PCG region, which has already been proven to be associated with cognition, but these alterations may not presume the underlying mechanism22,33.
The limitations include conducting the study in only one time point in HT patients, which is known to have a fluctuating hormonal course. However, our previous report was the first pilot study in the world literature whose findings might encourage further research. Our future studies will focus on monitoring ERP and MRS parameters in the course of the disease and analysing the relationship between cognitive impairment and their predictive cognitive outcome of HT patients.
Conclusions
To our knowledge, this is the first study examining ERP and MRS findings in euthyroid patients with HT without cognitive impairment.
We found significant correlations of ERP and MRS measurements in the PCG region. The NAA/Cr ratio showed significant negative correlations with all N200 latencies, while the mI/Cr ratio revealed a significant positive correlation with P300 latencies, which means that decreased values of the N200 and P300 latencies are associated with metabolic alterations in the PCG cortex. Both findings may indicate important functional changes in the cortex of the PCG which can be assessed with ERP as well as MRS measurements. Therefore functional disorders observed in the PCG cortex may suggest some brain dysfunction in neurologically asymptomatic HT patients. The mandatory goal of everyday clinical practice is to assess the group of HT subjects who are at risk of cognitive disorders and accordingly they need early and dedicated medical care in order to achieve cerebral function recovery or at least to stop progression of brain damage in the course of HT.
The lack of significant differences between the ERP and MRS parameters in HT patients with different initial diagnosis may indicate the influence of the autoimmune process itself, and not of the severity of pre-therapy thyroid dysfunction, on the development of cognitive impairment.
ERPs undergo significant changes in patients with HT and may, apart from neuroimaging studies, constitute an important element of recognising and monitoring cognitive functions in this group of patients. The significant correlations we observed with the MRS parameters justify further research in this area.
Author contributions
M.W.-P.: the conception and design of the study, acquisition of data, analysis and interpretation of data, drafting of the manuscript. J.B.: the conception and design of the study, acquisition of data, analysis and interpretation of data. S.B.: final approval of the version to be submitted, study supervision; M.S.: final approval of the version to be submitted, study supervision; E.D.: acquisition of data, analysis and interpretation of data. M.E.: the conception and design of the study, drafting the article or revising it critically for important intellectual content.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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