Abstract

Context

Hypothyroidism is often associated with cognitive and emotional dysregulation; however, the underlying neuropathological mechanisms remain elusive.

Objective

The study aimed to characterize abnormal alterations in hippocampal subfield volumes and functional connectivity (FC) in patients with subclinical hypothyroidism (SCH) and overt hypothyroidism (OH).

Methods

This cross-sectional observational study comprised 47 and 40 patients with newly diagnosed adult-onset primary SCH and OH, respectively, and 53 well-matched healthy controls (HCs). The demographics, clinical variables, and neuropsychological scale scores were collected. Next, the hippocampal subfield volumes and seed-based FC were compared between the groups. Finally, correlation analyses were performed.

Results

SCH and OH exhibited significant alterations in cognitive and emotional scale scores. Specifically, the volumes of the right granule cell molecular layer of the dentate gyrus (GC-ML-DG) head, cornu ammonis (CA) 4, and CA3 head were reduced in the SCH and OH groups. Moreover, the volumes of the right molecular layer head, CA1 body, left GC-ML-DG head, and CA4 head were lower in SCH. In addition, the hippocampal subfield volumes decreased more significantly in SCH than OH. The seed-based FC decreased in SCH but increased in OH compared with HCs. Correlation analyses revealed thyroid hormone was negatively correlated with FC values in hypothyroidism.

Conclusion

Patients with SCH and OH might be at risk of cognitive decline, anxiety, or depression, and exhibited alterations in volume and FC in specific hippocampal subfields. Furthermore, the reduction in volume was more pronounced in SCH. This study provides novel insights into the neuropathological mechanisms of brain impairment in hypothyroidism.

Hypothyroidism is a common pathological phenomenon of thyroid hormone (TH) deficiency (1). Subclinical hypothyroidism (SCH) is diagnosed when free thyroxine (FT4) concentrations are within the normal reference range and thyroid-stimulating hormone (TSH) concentrations are above the reference range. If FT4 concentrations are decreased below the reference range, TSH concentrations are increased above the reference range, the diagnosis of overt hypothyroidism (OH) is made. In about 2% to 5% of cases each year, SCH may progress to OH (2). Previous studies have shown that hypothyroidism can be accompanied by symptoms of cognitive impairment (3), dementia (4), depression, and anxiety (5). However, the underlying neuropathophysiological mechanisms of SCH and OH in abnormal cognition and emotion remain unclear.

Magnetic resonance imaging (MRI) is a noninvasive technique that provides high-quality spatial resolution images and information on functional and tissue properties (6) and is widely used in neuroimaging studies of various diseases including hypothyroidism. Previous MRI studies have shown that patients with SCH or OH possessed brain structural and functional alterations, such as reduced gray matter or white matter volumes (7, 8), and decreased functional connectivity (FC) values (9, 10). However, few studies have combined structural and functional MRI methods to investigate the detailed mechanisms of brain impairment in SCH and OH.

The hippocampus is a central structure involved in learning, memory, and emotion processes (11, 12). As a limbic structure located in the medial temporal lobe, the hippocampus is a TH receptor-rich region of the brain (13). A previous study found that lower FT4 levels were positively associated with hippocampal atrophy (14). In addition, the hippocampal volume of adults with hypothyroidism has been shown to decline (15, 16), and lower hippocampal volume is associated with higher TSH levels (16). Another study using proton magnetic resonance spectroscopy documented changes in metabolites within the hippocampus among individuals with hypothyroidism (17). Nevertheless, it remains unclear whether there is a discrepancy in the effects of SCH and OH on the hippocampus.

The hippocampus is a specialized structure that includes the head, body, and tail (18), and can be divided into multiple subfields (19). Structural MRI offers exquisite anatomical detail and high sensitivity to pathological changes that allow for the assessment of structural changes in the brain (20, 21). FreeSurfer is a suite of tools for analyzing neuroimaging data (22) using probabilistic atlases constructed from ultrahigh resolution MRI data to generate automated segmentation of hippocampal substructures (23) that has been widely used in psychiatric and endocrine disorders such as schizophrenia (19), bipolar disorder (24), depression (24, 25), and diabetes (26). In addition, resting-state functional MRI (rs-fMRI), which reflects the baseline brain neuronal activity based on the blood oxygen level–dependent signals (27), is a promising method for studying FC. It can generate an FC map of the seed region of interest in the brain (28), providing information on which brain regions are functionally linked to the seed regions and to what extent (29). In previous studies, rs-fMRI methods have been used to explore FC in hippocampal subfields in major depression disorder or multiple sclerosis (30, 31). However, whether the structure of specific hippocampal subfields is affected differently by SCH and OH and whether the function of the corresponding damaged subfields is also differentially affected warrants further elucidation.

Therefore, this study explored structural or functional changes in hippocampal subfields in patients with adult-onset primary SCH and OH using FreeSurfer-based hippocampal subfields segmentation combined with resting-state FC analysis based on significantly differential hippocampal subfields as regions of interest. We hypothesized that (1) the volume or FC of specific hippocampal subfields is altered in patients with adult-onset SCH or OH. (2) These alterations may be associated with clinical variables and neuropsychological test scores of patients with adult-onset hypothyroidism.

Materials and Methods

Subjects

Ninety-two newly diagnosed, untreated subjects with adult-onset hypothyroidism (50 subjects with SCH and 42 with OH) were recruited from the Outpatient Department of Endocrinology of Gansu Provincial Hospital from October 2019 to October 2022. In addition, 58 healthy controls (HCs) whose TSH and FT4 levels were in the normal range were recruited from the surrounding communities. In total, 10 subjects (5 HCs, 3 SCH, and 2 OH) were excluded due to abnormal scale data, excessive head movement (mean frame-wise displacement > 0.2), and/or incomplete or missing images (Fig 1). The diagnosis of hypothyroidism was based on the Guidelines for Diagnosis and Management of Hypothyroidism in Adults (2017 Edition) (32). The SCH was defined as serum FT4 levels within the normal reference range (9.01-19.05 pmol/L) and TSH levels above the reference range (0.35-4.94 mIU/L). The OH was defined as lower serum FT4 levels and higher serum TSH levels.

A flowchart shows the subjects selection. HCs, healthy controls; SCH, subclinical hypothyroidism; OH, overt hypothyroidism; mFD, mean framewise displacement.
Figure 1.

A flowchart shows the subjects selection. HCs, healthy controls; SCH, subclinical hypothyroidism; OH, overt hypothyroidism; mFD, mean framewise displacement.

The participants were Han Chinese, right-handed, with at least 6 years of education, and aged between 18 and 60 years. The exclusion criteria were as follows: a history of neurological or psychiatric disorders, organic lesion of the central nervous system, prior endocrine disease, nonthyroid autoimmune disease (eg, systemic lupus erythematosus, rheumatoid arthritis, and Sjögren syndrome) (33-35), cardiovascular disease, other major chronic diseases, severe visual or hearing impairment, a history of alcohol or psychotropic substance abuse, pregnant or lactating women or women using oral contraceptives, or any contraindications to MRI examination. Detailed inclusion and exclusion criteria were provided in a previous study (36).

This study was approved by the Medical Ethics Committee of Gansu Provincial Hospital (approval number: 2019-196, 2023-500). Written informed consent was obtained from all subjects.

Clinical Variables and Neuropsychological Assessments

All participants underwent comprehensive clinical and neuropsychological evaluation. The following demographic details were recorded: age, sex, and years of education. Venous blood samples were collected at 8:00 Am (after fasting for more than 10 hours), and serum levels of TSH, triiodothyronine (T3), thyroxine (T4), free triiodothyronine (FT3), and FT4 were measured using a magnetic particle–based chemiluminescence immunoassay.

Global cognition was evaluated using the Beijing version of the Montreal Cognitive Assessment (MoCA), which contains some subscales evaluating domains, including visuospatial/executive function, naming, memory and delayed recall, attention, language, abstraction, and orientation. Depressive or anxiety symptoms were assessed using the 24-item Hamilton Depression Rating Scale (HAMD-24) and the Hamilton Anxiety Rating Scale (HAMA), respectively. All neuropsychological scales were administered by clinicians with specialized training in assessing neuropsychological scales and under the guidance of an experienced neurologist.

MRI Data Acquisition

All subjects underwent structural MRI and rs-fMRI examination on the same day as the completion of the neuropsychological tests. MRI data acquisition was performed using a 3.0 Tesla Magnetom Skyra MRI scanner (Siemens Healthcare, Erlangen, Germany) with a 32-channel coil by 2 experienced radiologists from the Department of Radiology. All participants were instructed to close their eyes, relax, and remain awake during the MRI scanning. A conventional MRI sequence, including axial T1 weighted image (T1WI), T2WI, and T2-FLAIR images, was used to exclude anatomical abnormalities. High-resolution 3-dimensional (3D) T1WI based on the magnetization-prepared repaid acquisition gradient echo sequence and rs-fMRI scans based on the blood oxygen level–dependent gradient-echo echo-planar imaging sequence were performed. The scanning parameters are shown in Table 1.

Table 1.

Scanning parameters of MRI

SequenceScan planeTR (ms)TE (ms)TIFAFOV (mm2)MatrixSlicesThickness (mm)GapNEXTime pointsScanning times
3D-T1WISagittal scan25302.3511007256 × 256256 × 2561921011323
Rs-fMRIAxial scan20003090224 × 22464 × 64333.50.71420848
SequenceScan planeTR (ms)TE (ms)TIFAFOV (mm2)MatrixSlicesThickness (mm)GapNEXTime pointsScanning times
3D-T1WISagittal scan25302.3511007256 × 256256 × 2561921011323
Rs-fMRIAxial scan20003090224 × 22464 × 64333.50.71420848

3D-T1WI, 3-dimensional volumetric T1-weighted imaging sequence; FA, flip angle; FOV, field of view; NEX, number of excitations; rs-fMRI, resting-state functional magnetic resonance imaging; TR, repetition time; TE, echo time; TI, inversion time.

Table 1.

Scanning parameters of MRI

SequenceScan planeTR (ms)TE (ms)TIFAFOV (mm2)MatrixSlicesThickness (mm)GapNEXTime pointsScanning times
3D-T1WISagittal scan25302.3511007256 × 256256 × 2561921011323
Rs-fMRIAxial scan20003090224 × 22464 × 64333.50.71420848
SequenceScan planeTR (ms)TE (ms)TIFAFOV (mm2)MatrixSlicesThickness (mm)GapNEXTime pointsScanning times
3D-T1WISagittal scan25302.3511007256 × 256256 × 2561921011323
Rs-fMRIAxial scan20003090224 × 22464 × 64333.50.71420848

3D-T1WI, 3-dimensional volumetric T1-weighted imaging sequence; FA, flip angle; FOV, field of view; NEX, number of excitations; rs-fMRI, resting-state functional magnetic resonance imaging; TR, repetition time; TE, echo time; TI, inversion time.

Structure MRI Data Preprocessing and Hippocampal Volume Calculation

The preprocessing of 3D-T1WI images was reconstructed in the FreeSurfer v7.2.0 (https://surfer.nmr.mgh.harvard.edu) recon-all pipeline to automate cortical and subcortical segmentation as well as tissue segmentation (23). An automated pipeline for hippocampal subfield segmentation is included in FreeSurfer (22). The automatic segmentation pipeline of hippocampal subfields in FreeSurfer subdivided hippocampal substructures into the head and body. It further divided the hippocampus into the left and right hippocampal tail, subiculum head, subiculum body, cornu ammonis (CA) 1 head, CA1 body, hippocampal fissure, presubiculum head, presubiculum body, parasubiculum, molecular layer (ML) head, ML body, granule cell molecular layer of the dentate gyrus (GC-ML-DG) head, GC-ML-DG body, CA3 head, CA3 body, CA4 head, CA4 body, fimbria, and hippocampus amygdala transition area (Fig. 2O). Postextraction of hippocampal subfield volumes was carried out for subsequent statistical analysis. We performed a standardized quality control of the hippocampal subfield segmentation via the ENIGMA consortium (37).

Comparison of hippocampal subfield volume of HCs, SCH, and OH groups. (A) Right GC-ML-DG head subfield. (B) Intergroup differences in right GC-ML-DG head volume among the 3 groups. (C) Left GC-ML-DG head subfield. (D) Intergroup differences in left GC-ML-DG head volume among the 3 groups. (E) Right CA4 head subfield. (F) Intergroup differences in right CA4 head volume among the 3 groups. (G) Left CA4 head subfield. (H) Intergroup differences in left CA4 head volume among the 3 groups. (I) Right ML head subfield. (J) Intergroup differences in right ML head volume among the 3 groups. (K) Right CA3 head subfield. (L) Intergroup differences in right CA3 head volume among the 3 groups. (M) Right CA1 body subfield. (N) Intergroup differences in right CA1 body volume among the 3 groups. (O) Graphical representation of hippocampal subfields segmentation. GC-ML-DG, granule cell molecular layer of the dentate gyrus; ML, molecular layer; HCs, healthy controls; SCH, subclinical hypothyroidism. OH, overt hypothyroidism.
Figure 2.

Comparison of hippocampal subfield volume of HCs, SCH, and OH groups. (A) Right GC-ML-DG head subfield. (B) Intergroup differences in right GC-ML-DG head volume among the 3 groups. (C) Left GC-ML-DG head subfield. (D) Intergroup differences in left GC-ML-DG head volume among the 3 groups. (E) Right CA4 head subfield. (F) Intergroup differences in right CA4 head volume among the 3 groups. (G) Left CA4 head subfield. (H) Intergroup differences in left CA4 head volume among the 3 groups. (I) Right ML head subfield. (J) Intergroup differences in right ML head volume among the 3 groups. (K) Right CA3 head subfield. (L) Intergroup differences in right CA3 head volume among the 3 groups. (M) Right CA1 body subfield. (N) Intergroup differences in right CA1 body volume among the 3 groups. (O) Graphical representation of hippocampal subfields segmentation. GC-ML-DG, granule cell molecular layer of the dentate gyrus; ML, molecular layer; HCs, healthy controls; SCH, subclinical hypothyroidism. OH, overt hypothyroidism.

rs-fMRI Data Preprocessing

All rs-fMRI data were preprocessed using Data Processing & Analysis for Resting-State Brain Imaging (DPABI V5.1, http://rfmri.org/dpabi) based on Statistical Parametric Mapping (SPM12) running on the MATLAB R2018b platform. The process consisted of 8 steps: (1) data format conversion; (2) removal of the first 10 time points; (3) slice time correction; (4) head movement correction to exclude participants with mean framewise displacement >2 mm; (5) spatial normalization into the standard Montreal Neurological Institute space and 3 × 3 × 3 mm resized voxels; (6) spatial smoothing using a 6-mm full-width half-maximum Gaussian kernel; (7) removal of the linear trend; (8) nuisance covariates regression to adjust for head movement, cerebrospinal fluid, white matter, and mean value signal of the whole brain.

Seed-Based FC Analysis

Seed-based FC analysis was performed using DPABI V5.1 software, and the seed regions were defined as specific hippocampal subfields with significant differences among the 3 groups based on the prior structural MRI analysis in this study. Pearson correlation analysis was performed between the mean time series of the seed regions and the whole brain voxels to generate the FC map for each subject. Next, Fisher's r to z transformation was conducted to improve the normality of the data for subsequent statistical analysis. Gaussian random field theory was used for multiple comparisons; the thresholds were voxel level P < .001 and cluster level P < .05.

Statistical Analysis

All statistical analyses of demographics, clinical variables, and neuropsychological scores were performed using SPSS 25.0 statistical software. The chi-square test was used to analyze the sex differences. Data with a normal distribution were analyzed by 1-way analysis of variance followed by the least significant difference (LSD) post hoc test to detect intergroup differences. Variables with a skewed distribution were compared using Kruskal–Wallis tests to evaluate differences. Comparisons of hippocampal subfield volumes were examined with analysis of covariance, controlling for age, sex, years of education, and estimated total intracranial volume (eTIV). Partial correlation analyses were performed between significant hippocampal subfield volumes and clinical variables or neuropsychological tests in hypothyroidism, controlling for age, sex, years of education, and eTIV (false discovery rate correction). The FC values between significantly differential hippocampal subfields and other brain regions were analyzed using 1-way analysis of variance, with age, sex, years of education, and head movements as covariates based on the statistical toolbox of DPABI software. Pearson or Spearman correlation analysis was performed between significant FC values and clinical variables or neuropsychological tests in hypothyroidism (false discovery rate correction). LSD post hoc tests were applied to confirm intergroup effects. The threshold of statistical significance was set as P < .05.

Results

Subjects

A total of 140 participants (HCs = 53, SCH = 47, and OH = 40) were included in the final analysis. There were no significant differences among the 3 groups in terms of age, sex, years of education, naming, language, and orientation scores (P > .05). Compared with HCs, SCH had lower T4 and FT4 levels, lower scores of MoCA subitems, such as visuospatial/executive function, attention, abstraction, and memory, lower total MoCA scores and eTIV, higher TSH levels, HAMD-24, and HAMA scores. In addition, compared with HCs, OH had lower T3, T4, FT3, and FT4 levels, lower scores of MoCA subitems, including visuospatial/executive function, attention, abstraction, and memory, lower total MoCA scores and eTIV, higher TSH levels, HAMD-24, and HAMA scores. The OH group had higher TSH levels and lower eTIV than SCH, and no significant differences were detected in other demographic data (P > .05) (shown in Table 2).

Table 2.

Demographics, clinical variables and neuropsychological test scores of HCs, SCH, and OH groups

ParametersHCs (n = 53)SCH (n = 47)OH (n = 40)χ2/F/zP
Demographics
Age (years)36.17 ± 9.8838.19 ± 10.0839.17 ± 9.701.137.324
Sex (male/female)19/3411/3610/302.240.326
Education (years)14.75 ± 3.2813.96 ± 3.3813.48 ± 3.521.717.184
Clinical variables
TSH (mIU/L)1.99 (1.26-2.24)12.19 (10.07-18.54)a53.73 (25.09-99.46)a,b109.297<.001
T3 (nmol/L)1.55 (1.41-1.72)1.61 (1.40-1.81)1.08 (0.67-1.48)a,b34.930<.001
T4 (nmol/L)97.25 (89.55-103.39)81.28 (70.90-93.21)a44.89 (23.30-53.92)a,b93.326<.001
FT3 (pmol/L)4.36 ± 0.454.37 ± 0.673.02 ± 1.13a,b43.216<.001
FT4 (pmol/L)13.22 ± 1.2010.85 ± 1.30a6.12 ± 2.21a,b232.798<.001
Neuropsychological tests
MoCA (score)27.98 ± 1.6825.57 ± 2.78a25.83 ± 3.11a13.564<.001
Visuospatial/executive4.74 ± 0.593.79 ± 0.91a4.03 ± 1.00a17.582<.001
Naming3.00 ± 0.002.87 ± 0.402.93 ± 0.272.822.063
Attention5.81 ± 0.445.38 ± 0.85a5.38 ± 0.98a5.226.007
Language2.77 ± 0.512.51 ± 0.692.60 ± 0.672.335.101
Abstraction2.00 ± 0.001.72 ± 0.50a1.80 ± 0.41a7.871.001
Delayed recall4.00 (3.00-5.00)3.00 (2.00-4.00)a2.50 (2.00-4.00)a20.575<.001
Orientation6.00 ± 0.005.98 ± 0.156.00 ± 0.000.989.375
HAMD-24 (score)3.00 (1.00-4.50)9.00 (3.00-14.00)a6.00 (1.25-10.75)a22.846<.001
HAMA (score)1.00 (0.00-2.00)5.00 (3.00-9.00)a3.00 (1.00-6.75)a30.420<.001
ParametersHCs (n = 53)SCH (n = 47)OH (n = 40)χ2/F/zP
Demographics
Age (years)36.17 ± 9.8838.19 ± 10.0839.17 ± 9.701.137.324
Sex (male/female)19/3411/3610/302.240.326
Education (years)14.75 ± 3.2813.96 ± 3.3813.48 ± 3.521.717.184
Clinical variables
TSH (mIU/L)1.99 (1.26-2.24)12.19 (10.07-18.54)a53.73 (25.09-99.46)a,b109.297<.001
T3 (nmol/L)1.55 (1.41-1.72)1.61 (1.40-1.81)1.08 (0.67-1.48)a,b34.930<.001
T4 (nmol/L)97.25 (89.55-103.39)81.28 (70.90-93.21)a44.89 (23.30-53.92)a,b93.326<.001
FT3 (pmol/L)4.36 ± 0.454.37 ± 0.673.02 ± 1.13a,b43.216<.001
FT4 (pmol/L)13.22 ± 1.2010.85 ± 1.30a6.12 ± 2.21a,b232.798<.001
Neuropsychological tests
MoCA (score)27.98 ± 1.6825.57 ± 2.78a25.83 ± 3.11a13.564<.001
Visuospatial/executive4.74 ± 0.593.79 ± 0.91a4.03 ± 1.00a17.582<.001
Naming3.00 ± 0.002.87 ± 0.402.93 ± 0.272.822.063
Attention5.81 ± 0.445.38 ± 0.85a5.38 ± 0.98a5.226.007
Language2.77 ± 0.512.51 ± 0.692.60 ± 0.672.335.101
Abstraction2.00 ± 0.001.72 ± 0.50a1.80 ± 0.41a7.871.001
Delayed recall4.00 (3.00-5.00)3.00 (2.00-4.00)a2.50 (2.00-4.00)a20.575<.001
Orientation6.00 ± 0.005.98 ± 0.156.00 ± 0.000.989.375
HAMD-24 (score)3.00 (1.00-4.50)9.00 (3.00-14.00)a6.00 (1.25-10.75)a22.846<.001
HAMA (score)1.00 (0.00-2.00)5.00 (3.00-9.00)a3.00 (1.00-6.75)a30.420<.001

Abbreviations: FT3, free triiodothyronine; FT4, free thyroxine; HAMA, Hamilton Anxiety Rating Scale; HAMD-24, 24-item Hamilton Depression Rating Scale; HC, healthy control; MoCA, Montreal Cognitive Assessment Scale; OH, overt hypothyroidism; SCH, subclinical hypothyroidism; T3, triiodothyronine; T4, thyroxine; TSH, thyroid-stimulating hormone.

aCompared with healthy controls, P < .05.

bCompared with SCH, P < .05.

Table 2.

Demographics, clinical variables and neuropsychological test scores of HCs, SCH, and OH groups

ParametersHCs (n = 53)SCH (n = 47)OH (n = 40)χ2/F/zP
Demographics
Age (years)36.17 ± 9.8838.19 ± 10.0839.17 ± 9.701.137.324
Sex (male/female)19/3411/3610/302.240.326
Education (years)14.75 ± 3.2813.96 ± 3.3813.48 ± 3.521.717.184
Clinical variables
TSH (mIU/L)1.99 (1.26-2.24)12.19 (10.07-18.54)a53.73 (25.09-99.46)a,b109.297<.001
T3 (nmol/L)1.55 (1.41-1.72)1.61 (1.40-1.81)1.08 (0.67-1.48)a,b34.930<.001
T4 (nmol/L)97.25 (89.55-103.39)81.28 (70.90-93.21)a44.89 (23.30-53.92)a,b93.326<.001
FT3 (pmol/L)4.36 ± 0.454.37 ± 0.673.02 ± 1.13a,b43.216<.001
FT4 (pmol/L)13.22 ± 1.2010.85 ± 1.30a6.12 ± 2.21a,b232.798<.001
Neuropsychological tests
MoCA (score)27.98 ± 1.6825.57 ± 2.78a25.83 ± 3.11a13.564<.001
Visuospatial/executive4.74 ± 0.593.79 ± 0.91a4.03 ± 1.00a17.582<.001
Naming3.00 ± 0.002.87 ± 0.402.93 ± 0.272.822.063
Attention5.81 ± 0.445.38 ± 0.85a5.38 ± 0.98a5.226.007
Language2.77 ± 0.512.51 ± 0.692.60 ± 0.672.335.101
Abstraction2.00 ± 0.001.72 ± 0.50a1.80 ± 0.41a7.871.001
Delayed recall4.00 (3.00-5.00)3.00 (2.00-4.00)a2.50 (2.00-4.00)a20.575<.001
Orientation6.00 ± 0.005.98 ± 0.156.00 ± 0.000.989.375
HAMD-24 (score)3.00 (1.00-4.50)9.00 (3.00-14.00)a6.00 (1.25-10.75)a22.846<.001
HAMA (score)1.00 (0.00-2.00)5.00 (3.00-9.00)a3.00 (1.00-6.75)a30.420<.001
ParametersHCs (n = 53)SCH (n = 47)OH (n = 40)χ2/F/zP
Demographics
Age (years)36.17 ± 9.8838.19 ± 10.0839.17 ± 9.701.137.324
Sex (male/female)19/3411/3610/302.240.326
Education (years)14.75 ± 3.2813.96 ± 3.3813.48 ± 3.521.717.184
Clinical variables
TSH (mIU/L)1.99 (1.26-2.24)12.19 (10.07-18.54)a53.73 (25.09-99.46)a,b109.297<.001
T3 (nmol/L)1.55 (1.41-1.72)1.61 (1.40-1.81)1.08 (0.67-1.48)a,b34.930<.001
T4 (nmol/L)97.25 (89.55-103.39)81.28 (70.90-93.21)a44.89 (23.30-53.92)a,b93.326<.001
FT3 (pmol/L)4.36 ± 0.454.37 ± 0.673.02 ± 1.13a,b43.216<.001
FT4 (pmol/L)13.22 ± 1.2010.85 ± 1.30a6.12 ± 2.21a,b232.798<.001
Neuropsychological tests
MoCA (score)27.98 ± 1.6825.57 ± 2.78a25.83 ± 3.11a13.564<.001
Visuospatial/executive4.74 ± 0.593.79 ± 0.91a4.03 ± 1.00a17.582<.001
Naming3.00 ± 0.002.87 ± 0.402.93 ± 0.272.822.063
Attention5.81 ± 0.445.38 ± 0.85a5.38 ± 0.98a5.226.007
Language2.77 ± 0.512.51 ± 0.692.60 ± 0.672.335.101
Abstraction2.00 ± 0.001.72 ± 0.50a1.80 ± 0.41a7.871.001
Delayed recall4.00 (3.00-5.00)3.00 (2.00-4.00)a2.50 (2.00-4.00)a20.575<.001
Orientation6.00 ± 0.005.98 ± 0.156.00 ± 0.000.989.375
HAMD-24 (score)3.00 (1.00-4.50)9.00 (3.00-14.00)a6.00 (1.25-10.75)a22.846<.001
HAMA (score)1.00 (0.00-2.00)5.00 (3.00-9.00)a3.00 (1.00-6.75)a30.420<.001

Abbreviations: FT3, free triiodothyronine; FT4, free thyroxine; HAMA, Hamilton Anxiety Rating Scale; HAMD-24, 24-item Hamilton Depression Rating Scale; HC, healthy control; MoCA, Montreal Cognitive Assessment Scale; OH, overt hypothyroidism; SCH, subclinical hypothyroidism; T3, triiodothyronine; T4, thyroxine; TSH, thyroid-stimulating hormone.

aCompared with healthy controls, P < .05.

bCompared with SCH, P < .05.

Comparison of Hippocampal Subfield Volumes Among Groups

The volumes of bilateral GC-ML-DG head (right: P = .004; left: P = .028) and CA4 head (right: P = .004; left: P = .023), right hippocampal CA1 body (P = .036), CA3 head (P = .003), ML head (P = .046), and whole hippocampal head (P = .034) were significantly different among the 3 groups. The volumes of bilateral GC-ML-DG head (right: P = .001; left: P = .008), CA4 head (right: P = .001; left: P = .007), right CA1 body (P = .040), CA3 head (P = .001), ML head (P = .013), and whole hippocampal head (P = .010) were significantly lower in SCH than in HCs after the LSD post hoc test. Compared with HCs, OH had lower volumes of the right GC-ML-DG head (P = .018), CA4 head (P = .020), and CA3 head (P = .009) after the LSD post hoc test. In addition, the volume of the right CA1 body (P = .018) was lower in SCH than OH. No significant differences were found in the volumes of other hippocampal subfields (Fig. 2).

Seed-Based FC Alterations Among Groups

FC values were decreased in SCH and increased in OH compared with the HCs group (Gaussian random field corrected, voxel P < .001, cluster P < .05). Compared with the HCs group, FC values between the right CA3 head and left paracentral lobule, between the right ML head and left frontal superior medial, between the left CA4 head and right cingulate anterior were reduced in SCH. Moreover, compared with the HCs group, FC values between the right ML head and right frontal medial orbital, between the right ML head and left frontal superior medial, between the left CA4 head and right cingulate anterior were increased in OH. Compared with SCH, FC values between the right CA3 head and left paracentral lobule, between the right ML head and right frontal medial orbital, between the right ML head and left frontal superior medial, between the left CA4 head and right cingulate anterior were also increased in the OH group (Table 3 and Figs. 3 and 4).

Regions with significant differences in functional connectivity between the hippocampus subfield and the whole brain between HCs, SCH, and OH groups. (A) Significant abnormality of FC values of the right CA3 head–left paracentral lobule among the 3 groups. (B) Significant abnormality of FC values of the right ML head–right frontal medial orbital among the 3 groups. (C) Significant abnormality of FC values of the right ML head–left frontal superior medial among the 3 groups. (D) Significant abnormality of FC values of the left CA4 head–right cingulate anterior among the 3 groups. HCs, healthy controls; SCH, subclinical hypothyroidism. OH, overt hypothyroidism; ML, molecular layer; FC, functional connectivity.
Figure 3.

Regions with significant differences in functional connectivity between the hippocampus subfield and the whole brain between HCs, SCH, and OH groups. (A) Significant abnormality of FC values of the right CA3 head–left paracentral lobule among the 3 groups. (B) Significant abnormality of FC values of the right ML head–right frontal medial orbital among the 3 groups. (C) Significant abnormality of FC values of the right ML head–left frontal superior medial among the 3 groups. (D) Significant abnormality of FC values of the left CA4 head–right cingulate anterior among the 3 groups. HCs, healthy controls; SCH, subclinical hypothyroidism. OH, overt hypothyroidism; ML, molecular layer; FC, functional connectivity.

Standard error of mean histogram showing significant differences in functional connectivity between the hippocampus subregions and the entire brain in HCs, SCH, and OH groups. (A) Intergroup differences of FC values of the right CA3 head–left paracentral lobule among the 3 groups. (B) Intergroup differences of FC values of the right ML head–right frontal medial orbital among the 3 groups. (C) Intergroup differences of FC values of the right ML head–left frontal superior medial among the 3 groups. (D) Intergroup differences of FC values of the left CA4 head–right cingulate anterior among the 3 groups. HCs, healthy controls. SCH, subclinical hypothyroidism. OH, overt hypothyroidism. ML, molecular layer; FC, functional connectivity.
Figure 4.

Standard error of mean histogram showing significant differences in functional connectivity between the hippocampus subregions and the entire brain in HCs, SCH, and OH groups. (A) Intergroup differences of FC values of the right CA3 head–left paracentral lobule among the 3 groups. (B) Intergroup differences of FC values of the right ML head–right frontal medial orbital among the 3 groups. (C) Intergroup differences of FC values of the right ML head–left frontal superior medial among the 3 groups. (D) Intergroup differences of FC values of the left CA4 head–right cingulate anterior among the 3 groups. HCs, healthy controls. SCH, subclinical hypothyroidism. OH, overt hypothyroidism. ML, molecular layer; FC, functional connectivity.

Table 3.

Total anomaly in significant clusters located using functional connectivity values in whole brain hemisphere among HCs, SCH, and OH groups

Seed regionsSignificant brain regionsVoxel sizeCoordinates MNIF values
XYZ
Right CA3 headLeft paracentral lobule23−9−335112.891
Right ML headRight frontal medial orbital47339−158.945
Left frontal superior medial18063010.007
Left CA4 headRight cingulate anterior237−636−314.341
Seed regionsSignificant brain regionsVoxel sizeCoordinates MNIF values
XYZ
Right CA3 headLeft paracentral lobule23−9−335112.891
Right ML headRight frontal medial orbital47339−158.945
Left frontal superior medial18063010.007
Left CA4 headRight cingulate anterior237−636−314.341

Abbreviations: HC, healthy controls; ML, molecular layer; MNI, Montreal Neurological Institute; OH, overt hypothyroidism; SCH, subclinical hypothyroidism.

Table 3.

Total anomaly in significant clusters located using functional connectivity values in whole brain hemisphere among HCs, SCH, and OH groups

Seed regionsSignificant brain regionsVoxel sizeCoordinates MNIF values
XYZ
Right CA3 headLeft paracentral lobule23−9−335112.891
Right ML headRight frontal medial orbital47339−158.945
Left frontal superior medial18063010.007
Left CA4 headRight cingulate anterior237−636−314.341
Seed regionsSignificant brain regionsVoxel sizeCoordinates MNIF values
XYZ
Right CA3 headLeft paracentral lobule23−9−335112.891
Right ML headRight frontal medial orbital47339−158.945
Left frontal superior medial18063010.007
Left CA4 headRight cingulate anterior237−636−314.341

Abbreviations: HC, healthy controls; ML, molecular layer; MNI, Montreal Neurological Institute; OH, overt hypothyroidism; SCH, subclinical hypothyroidism.

Correlation Analysis

Partial correlation analyses were used to assess the correlations between hippocampal subfield volumes and clinical variables or neuropsychological scales. Taking age, sex, years of education, and eTIV as covariates, no significant correlations were observed between clinical variables or neuropsychological scales and differential hippocampal subfield volumes in patients with adult-onset hypothyroidism. Spearman correlation analyses were employed to evaluate the correlations between FC values and clinical variables or neuropsychological scales. Results showed that the FC values between the right CA3 head and left paracentral lobule were negatively correlated with T4 (r = −0.353, P = .005) and FT4 (r = −0.338, P = .008). The FC values between the right ML head and right frontal medial orbital were negatively correlated with T3 (r = −0.323, P = .012), T4 (r = −0.386, P = .002), and FT4 (r = −0.414, P = .001). The FC values between the right ML head and left frontal superior medial were negatively correlated with T4 (r = −0.313, P = .015), and FT4 (r = −0.431, P = .001). The FC values between the left CA4 head and right cingulate anterior were negatively correlated with T3 (r = −0.310, P = .015), T4 (r = −0.402, P = .001), FT3 (r = −0.366, P = .004), and FT4 (r = −0.436, P = .001) (Fig 5).

Correlations between the abnormal brain regions and clinical variables or neuropsychological test scores in hypothyroidism. (A) T3 was negatively correlated with the FC of the right ML head and right frontal medial orbital. (B) T3 was negatively correlated with the FC of the left CA4 head and right cingulate anterior. (C) T4 was negatively correlated with the FC of the right CA3 head and left paracentral lobule. (D) T4 was negatively correlated with the FC of the right ML head and right frontal medial orbital. (E) T4 was negatively correlated with the FC of the right ML head and left frontal superior medial. (F) T4 was negatively correlated with the FC of the left CA4 head and right cingulate anterior. (G) FT3 was negatively correlated with the FC of the left CA4 head and right cingulate anterior. (H) FT4 was negatively correlated with the FC of the right CA3 head and left paracentral lobule. (I) FT4 was negatively correlated with the FC of the right ML head and right frontal medial orbital. (J) FT4 was negatively correlated with the FC of the right ML head and left frontal superior medial. (K) FT4 was negatively correlated with the FC of the left CA4 head and right cingulate anterior. ML, molecular layer; T3, triiodothyronine; T4, thyroxine; FT3, free triiodothyronine; FT4, free thyroxine.
Figure 5.

Correlations between the abnormal brain regions and clinical variables or neuropsychological test scores in hypothyroidism. (A) T3 was negatively correlated with the FC of the right ML head and right frontal medial orbital. (B) T3 was negatively correlated with the FC of the left CA4 head and right cingulate anterior. (C) T4 was negatively correlated with the FC of the right CA3 head and left paracentral lobule. (D) T4 was negatively correlated with the FC of the right ML head and right frontal medial orbital. (E) T4 was negatively correlated with the FC of the right ML head and left frontal superior medial. (F) T4 was negatively correlated with the FC of the left CA4 head and right cingulate anterior. (G) FT3 was negatively correlated with the FC of the left CA4 head and right cingulate anterior. (H) FT4 was negatively correlated with the FC of the right CA3 head and left paracentral lobule. (I) FT4 was negatively correlated with the FC of the right ML head and right frontal medial orbital. (J) FT4 was negatively correlated with the FC of the right ML head and left frontal superior medial. (K) FT4 was negatively correlated with the FC of the left CA4 head and right cingulate anterior. ML, molecular layer; T3, triiodothyronine; T4, thyroxine; FT3, free triiodothyronine; FT4, free thyroxine.

Discussion

To the best of our knowledge, this is the first study to assess hippocampal subfield volume and FC in patients with adult-onset hypothyroidism. The major findings of this study are that, compared with HCs, both SCH and OH showed varying degrees of cognitive and affective impairment, and the distribution of impaired hippocampal subfields in SCH and OH was essentially comparable. Notably, the SCH group exhibited more severe reductions in hippocampal subfield volumes, with the right CA3 head, GC-ML-DG head, and CA4 head as predominantly affected subfields. Furthermore, compared with HCs, FC values between the CA3 head and paracentral lobule, ML head and frontal lobe, CA4 head and cingulate decreased in the SCH group, while the FC values increased between the ML head and frontal lobe and the CA4 head and cingulate in the OH group. Notably, TH levels were negatively correlated with FC values between significantly differential hippocampal subfields and other brain regions, suggesting that TH may be involved in brain functional alterations in patients with adult-onset hypothyroidism.

In this study, we found that the volumes of GC-ML-DG and CA3 were decreased in both SCH and OH groups, and the volume of CA1 was reduced in the SCH group. Studies have reported that GC-ML-DG, CA3, and CA1 are interconnected through sequential information delivery to form a “trisynaptic circuit” (38,39). The hippocampus is a target region for TH action (40), and postnatal development of the hippocampal DG is affected by TH (41). In adult rats, it was found that neurogenesis deficits caused by TH deficiency altered the entire GC-ML-DG, resulting in a significant reduction in the total dentate granule cell number and GC-ML-DG volume (13, 42). The GC-ML-DG is also involved in neurogenesis and synaptic plasticity during brain development and in adulthood (43), which is essential for learning and memory (44). CA3 abnormalities may underlie the psychopathological features of certain psychiatric disorders (43) and are involved in various crucial memory processes such as forming accurate spatial memory (45). Evidence has revealed that adult-onset hypothyroidism induces morphological changes in CA3 pyramidal cells while reducing the number of neurons in the CA3 area of the hippocampus (46). The extracellular glutamate and aspartate levels, which play important roles in cognitive processes, were decreased in CA3 in adult hypothyroid rats (47). Basal calcium-dependent calmodulin kinase II (CaMKII) activity and the levels of phosphorylated CaMKII, total CaMKII, and calmodulin are reduced in the hippocampal CA1 area in adult-onset hypothyroidism (48), which may modulate hippocampal synaptic strength and the dendritic spine shape (49), possibly reflecting a loss of the CA1 volume. Taken together, these findings may underscore the relationship between the “trisynaptic circuit” and cognitive impairment of adult-onset hypothyroidism. However, no correlations were found between specific hippocampal subfields and cognitive function in the present study, which merits further exploration.

Our study found a decreased ML volume in the SCH group and an increased FC between the ML and frontal lobe in the OH group. The ML contains interneurons and apical dendrites of hippocampal pyramidal cells, which represent the input areas of the hippocampal subfields and receive a large amount of incoming information (50), stretching from the DG along the CA subfields to the subiculum (51). A reduced ML volume may arise from decreased internal and external hippocampal connectivity and loss of neurons from CA to subiculum, leading to a reduction in ML synaptic number and ultimately memory deficits (52), which is also correlated with cognitive performance in mild cognitive impairment or Alzheimer's disease (53). Importantly, we found increased FC values between the ML and frontal lobe in the OH group. It was previously demonstrated that the frontal lobe is involved in various cognition functions and emotion regulation (54, 55). Therefore, we hypothesize that increased FC may be a potential neural compensatory mechanism for patients with OH to maintain normal cognition and emotion. Collectively, the current study may help to indicate some of the changes the brain undergoes in adult-onset hypothyroid states.

CA4 is considered an essential anatomical site for neural pathways connecting the hippocampus to other brain regions (56). Our findings demonstrated a reduction in CA4 volume among patients with adult-onset hypothyroidism. A previous study showed that the hippocampal CA4 region may be damaged in patients with hypothyroidism (57). In the present study, we found that FC values of the CA4 and anterior cingulate gyrus were decreased in the SCH group. A fMRI-based study reported lower activation of the anterior cingulate cortex in SCH (7), which supports our findings.

It is noteworthy that specific hippocampal subfield volumes were lower in the SCH and OH groups compared with the HCs group. However, the volume reduction was more severe in SCH. Intriguingly, the FC in hippocampal subfields was decreased in SCH but increased in OH. A previous study found that high TSH levels were associated with a reduced hippocampal volume (16), while TH levels were negatively correlated with hippocampal volume (58), which may explain why the SCH group had a greater volume loss than the OH group. Studies have shown that enhanced FC is a secondary outcome of neural atrophy and a compensatory mechanism for maintaining function in multiple sclerosis (59, 60). Therefore, we speculate that increased FC in OH may serve as a compensatory mechanism in response to the decreases in volume. Interestingly, we found negative correlations between lower TH levels and higher FC values in hypothyroidism, which aligns with our findings that FC was increased in the OH group, expanding our understanding of the neuropathophysiological mechanisms underlying brain impairment in OH.

Nevertheless, this study has several limitations. Firstly, this study is a cross-sectional study and therefore we could not explain the causal relationship between adult-onset hypothyroidism and brain impairment. In future, longitudinal follow-up studies are advocated to address this issue. Moreover, resting-state studies have inherent limitations because correlation patterns observed at rest may inadvertently reflect uncontrolled mental tasks (61), future studies should explore task-state functional MRI. Finally, although T1WI has the advantage that the acquisition of dedicated images is not required in terms of measuring subfield volumes, the contrast of T1WI has not been optimized for the hippocampus; thus, T1WI subfield approaches have a typically lower effect size than T2WI approaches (62). Follow-up studies should be conducted with T2WI approaches to study hippocampal subfields.

In conclusion, we found similar atrophy patterns in specific hippocampal subfields in both adult-onset SCH and OH. Notably, the SCH group exhibited a more pronounced decrease in volume than the OH group. Furthermore, the negative correlations between TH levels and FC values suggest that TH may play a pivotal role in the brain functional impairment in adult-onset hypothyroidism. These findings advance our understanding of the neuropathological mechanisms underlying brain impairment in patients with adult-onset SCH or OH.

Acknowledgments

We thank the subjects and the investigators who participated in this study.

Funding

This work was supported by the Natural Science Foundation of Gansu Province (20JR5RA153), the National Natural Science Foundation of China (No. 82060152), the Key Research and Development Program of Gansu Province (23YFFA0048), and the Research Fund of Gansu Provincial Hospital (22GSSYD-53).

Author Contributions

T.Z.: writing-original draft, writing-review & editing and formal analysis; L.Z.: study idea and design, writing-review & editing; W.S.: data curation; C.C., Q.S.: data collection; C.Y., H.Z., and J.C.: MRI data processing; L.T.: study idea and design.

Disclosures

No competing financial interests exist for any author.

Data Availability

Some or all datasets generated during and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.

References

1

Chaker
 
L
,
Bianco
 
AC
,
Jonklaas
 
J
,
Peeters
 
RP
.
Hypothyroidism
.
Lancet
.
2017
;
390
(
10101
):
1550
1562
.

2

Khandelwal
 
D
,
Tandon
 
N
.
Overt and subclinical hypothyroidism: who to treat and how
.
Drugs
.
2012
;
72
(
1
):
17
33
.

3

Rieben
 
C
,
Segna
 
D
,
da Costa
 
BR
, et al.  
Subclinical thyroid dysfunction and the risk of cognitive decline: a meta-analysis of prospective cohort studies
.
J Clin Endocrinol Metab
.
2016
;
101
(
12
):
4945
4954
.

4

Chaker
 
L
,
Wolters
 
FJ
,
Bos
 
D
, et al.  
Thyroid function and the risk of dementia: The Rotterdam Study
.
Neurology
.
2016
;
87
(
16
):
1688
1695
.

5

Ittermann
 
T
,
Völzke
 
H
,
Baumeister
 
SE
, et al.  
Diagnosed thyroid disorders are associated with depression and anxiety
.
Soc Psychiatry Psychiatr Epidemiol
.
2015
;
50
(
9
):
1417
1425
.

6

Mavrogeni
 
SI
,
Poulos
 
G
,
Kolovou
 
G
,
Theodorakis
 
G
.
Magnetic resonance imaging-conditional devices: luxury or real clinical need?
 
Hellenic J Cardiol
.
2017
;
58
(
4
):
256
260
.

7

Yin
 
J
,
Xie
 
L
,
Luo
 
D
, et al.  
Changes of structural and functional attention control networks in subclinical hypothyroidism
.
Front Behav Neurosci
.
2021
;
15
:
725908
.

8

Singh
 
S
,
Modi
 
S
,
Bagga
 
D
, et al.  
Voxel-based morphometric analysis in hypothyroidism using diffeomorphic anatomic registration via an exponentiated lie algebra algorithm approach
.
J Neuroendocrinol
.
2013
;
25
(
3
):
229
234
.

9

Kumar
 
M
,
Modi
 
S
,
Rana
 
P
, et al.  
Alteration in intrinsic and extrinsic functional connectivity of resting state networks associated with subclinical hypothyroid
.
J Neuroendocrinol
.
2018
;
30
(
5
).

10

Singh
 
S
,
Kumar
 
M
,
Modi
 
S
, et al.  
Alterations of functional connectivity among resting-state networks in hypothyroidism
.
J Neuroendocrinol
.
2015
;
27
(
7
):
609
615
.

11

Sala
 
M
,
Perez
 
J
,
Soloff
 
P
, et al.  
Stress and hippocampal abnormalities in psychiatric disorders
.
Eur Neuropsychopharmacol
.
2004
;
14
(
5
):
393
405
.

12

Tamminga
 
CA
,
Stan
 
AD
,
Wagner
 
AD
.
The hippocampal formation in schizophrenia
.
Am J Psychiatry
.
2010
;
167
(
10
):
1178
1193
.

13

Ambrogini
 
P
,
Cuppini
 
R
,
Ferri
 
P
, et al.  
Thyroid hormones affect neurogenesis in the dentate gyrus of adult rat
.
Neuroendocrinology
.
2005
;
81
(
4
):
244
253
.

14

Willoughby
 
KA
,
McAndrews
 
MP
,
Rovet
 
JF
.
Effects of maternal hypothyroidism on offspring hippocampus and memory
.
Thyroid
.
2014
;
24
(
3
):
576
584
.

15

Cooke
 
GE
,
Mullally
 
S
,
Correia
 
N
, et al.  
Hippocampal volume is decreased in adults with hypothyroidism
.
Thyroid
.
2014
;
24
(
3
):
433
440
.

16

Ittermann
 
T
,
Wittfeld
 
K
,
Nauck
 
M
, et al.  
High thyrotropin is associated with reduced hippocampal volume in a population-based study from Germany
.
Thyroid
.
2018
;
28
(
11
):
1434
1442
.

17

Singh
 
S
,
Rana
 
P
,
Kumar
 
P
, et al.  
Hippocampal neurometabolite changes in hypothyroidism: an in vivo (1) H magnetic resonance spectroscopy study before and after thyroxine treatment
.
J Neuroendocrinol
.
2016
;
28
(
9
).

18

Knierim
 
JJ
.
The hippocampus
.
Curr Biol
.
2015
;
25
(
23
):
R1116
R1121
.

19

Haukvik
 
UK
,
Westlye
 
LT
,
Mørch-Johnsen
 
L
, et al.  
In vivo hippocampal subfield volumes in schizophrenia and bipolar disorder
.
Biol Psychiatry
.
2015
;
77
(
6
):
581
588
.

20

Perri
 
K
,
De Mori
 
L
,
Tortora
 
D
, et al.  
Cognitive and white matter microstructure development in congenital hypothyroidism and familial thyroid disorders
.
J Clin Endocrinol Metab
.
2021
;
106
(
10
):
e3990
e4006
.

21

Symms
 
M
,
Jäger
 
HR
,
Schmierer
 
K
, et al.  
A review of structural magnetic resonance neuroimaging
.
J Neurol Neurosurg Psychiatry
.
2004
;
75
(
9
):
1235
1244
.

22

Fischl
 
B
.
FreeSurfer
.
Neuroimage
.
2012
;
62
(
2
):
774
781
.

23

Iglesias
 
JE
,
Augustinack
 
JC
,
Nguyen
 
K
, et al.  
A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: application to adaptive segmentation of in vivo MRI
.
Neuroimage
.
2015
;
115
:
117
137
.

24

Han
 
K-M
,
Kim
 
A
,
Kang
 
W
, et al.  
Hippocampal subfield volumes in major depressive disorder and bipolar disorder
.
Eur Psychiatry
.
2019
;
57
:
70
77
.

25

Han
 
K-M
,
Won
 
E
,
Sim
 
Y
,
Tae
 
W-S
.
Hippocampal subfield analysis in medication-naïve female patients with major depressive disorder
.
J Affect Disord
.
2016
;
194
:
21
29
.

26

Monereo-Sánchez
 
J
,
Jansen
 
JFA
,
Köhler
 
S
, et al.  
The association of prediabetes and type 2 diabetes with hippocampal subfields volume: The Maastricht study
.
Neuroimage Clin
.
2023
;
39
,
103455
.

27

Damoiseaux
 
JS
,
Rombouts
 
SARB
,
Barkhof
 
F
, et al.  
Consistent resting-state networks across healthy subjects
.
Proc Natl Acad Sci U S A
.
2006
;
103
(
37
):
13848
13853
.

28

Roosendaal
 
SD
,
Hulst
 
HE
,
Vrenken
 
H
, et al.  
Structural and functional hippocampal changes in multiple sclerosis patients with intact memory function
.
Radiology
.
2010
;
255
(
2
):
595
604
.

29

van den Heuvel
 
MP
,
Hulshoff Pol
 
HE
.
Exploring the brain network: a review on resting-state fMRI functional connectivity
.
Eur Neuropsychopharmacol
.
2010
;
20
(
8
):
519
534
.

30

Hao
 
ZY
,
Zhong
 
Y
,
Ma
 
ZJ
, et al.  
Abnormal resting-state functional connectivity of hippocampal subfields in patients with major depressive disorder
.
BMC Psychiatry
.
2020
;
20
(
1
):
71
.

31

González Torre
 
JA
,
Cruz-Gómez
 
ÁJ
,
Belenguer
 
A
, et al.  
Hippocampal dysfunction is associated with memory impairment in multiple sclerosis: a volumetric and functional connectivity study
.
Mult Scler
.
2017
;
23
(
14
):
1854
1863
.

32

Association EBoCM
.
Guidelines for the diagnosis and treatment of adult hypothyroidism
.
Chin J Endocrinol Metab
.
2017
;
33
(
2
):
167
180
.

33

Bonacchi
 
R
,
Rocca
 
MA
,
Ramirez
 
GA
, et al.  
Resting state network functional connectivity abnormalities in systemic lupus erythematosus: correlations with neuropsychiatric impairment
.
Mol Psychiatry
.
2021
;
26
(
7
):
3634
3645
.

34

Meade
 
T
,
Manolios
 
N
,
Cumming
 
SR
, et al.  
Cognitive impairment in rheumatoid arthritis: a systematic review
.
Arthritis Care Res (Hoboken)
.
2018
;
70
(
1
):
39
52
.

35

Segal
 
BM
,
Mueller
 
BA
,
Zhu
 
X
, et al.  
Disruption of brain white matter microstructure in primary Sjögren's syndrome: evidence from diffusion tensor imaging
.
Rheumatology (Oxford)
.
2010
;
49
(
8
):
1530
1539
.

36

Su
 
W
,
Zhao
 
L
,
Bao
 
S
, et al.  
Alterations in gray matter morphology and functional connectivity in adult patients with newly diagnosed untreated hypothyroidism
.
Thyroid
.
2023
;
33
(
7
):
791
803
.

37

Sämann
 
PG
,
Iglesias
 
JE
,
Gutman
 
B
, et al.  
FreeSurfer-based segmentation of hippocampal subfields: a review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts
.
Hum Brain Mapp
.
2022
;
43
(
1
):
207
233
.

38

Hainmueller
 
T
,
Bartos
 
M
.
Dentate gyrus circuits for encoding, retrieval and discrimination of episodic memories
.
Nature Reviews Neuroscience
.
2020
;
21
(
3
):
153
168
.

39

Gbyl
 
K
,
Støttrup
 
MM
,
Mitta Raghava
 
J
, et al.  
Hippocampal volume and memory impairment after electroconvulsive therapy in patients with depression
.
Acta Psychiatr Scand
.
2021
;
143
(
3
):
238
252
.

40

Gould
 
E
,
Woolley
 
CS
,
McEwen
 
BS
.
The hippocampal formation: morphological changes induced by thyroid, gonadal and adrenal hormones
.
Psychoneuroendocrinology
.
1991
;
16
(
1-3
):
67
84
.

41

Sánchez-Huerta
 
K
,
García-Martínez
 
Y
,
Vergara
 
P
, et al.  
Thyroid hormones are essential to preserve non-proliferative cells of adult neurogenesis of the dentate gyrus
.
Mol Cell Neurosci
.
2016
;
76
:
1
10
.

42

Madeira
 
MD
,
Cadete-Leite
 
A
,
Andrade
 
JP
, et al.  
Effects of hypothyroidism upon the granular layer of the dentate gyrus in male and female adult rats: a morphometric study
.
J Comp Neurol
.
1991
;
314
(
1
):
171
186
.

43

Baglivo
 
V
,
Cao
 
B
,
Mwangi
 
B
, et al.  
Hippocampal subfield volumes in patients with first-episode psychosis
.
Schizophr Bull
.
2018
;
44
(
3
):
552
559
.

44

van Praag
 
H
,
Schinder
 
AF
,
Christie
 
BR
, et al.  
Functional neurogenesis in the adult hippocampus
.
Nature
.
2002
;
415
(
6875
):
1030
1034
.

45

Gilbert
 
PE
,
Brushfield
 
AM
.
The role of the CA3 hippocampal subregion in spatial memory: a process oriented behavioral assessment
.
Prog Neuropsychopharmacol Biol Psychiatry
.
2009
;
33
(
5
):
774
781
.

46

Madeira
 
MD
,
Sousa
 
N
,
Lima-Andrade
 
MT
, et al.  
Selective vulnerability of the hippocampal pyramidal neurons to hypothyroidism in male and female rats
.
J Comp Neurol
.
1992
;
322
(
4
):
501
518
.

47

Sánchez-Huerta
 
KB
,
Montes
 
S
,
Pérez-Severiano
 
F
, et al.  
Hypothyroidism reduces glutamate-synaptic release by ouabain depolarization in rat CA3-hippocampal region
.
J Neurosci Res
.
2012
;
90
(
4
):
905
912
.

48

Alkadhi
 
KA
,
Alzoubi
 
KH
.
Comparison of effects of spatial and non-spatial memory acquisition on the CaMKII pathway during hypothyroidism and nicotine treatment
.
Mol Neurobiol
.
2020
;
57
(
4
):
1930
1937
.

49

Penny
 
CJ
,
Gold
 
MG
.
Mechanisms for localising calcineurin and CaMKII in dendritic spines
.
Cell Signal
.
2018
;
49
:
46
58
.

50

Wang
 
N
,
Zhang
 
L
,
Yang
 
H
, et al.  
Do multiple system atrophy and Parkinson's disease show distinct patterns of volumetric alterations across hippocampal subfields? An exploratory study
.
Eur Radiol
.
2019
;
29
(
9
):
4948
4956
.

51

Haukvik
 
UK
,
Gurholt
 
TP
,
Nerland
 
S
, et al.  
In vivo hippocampal subfield volumes in bipolar disorder-A mega-analysis from The Enhancing Neuro Imaging Genetics through Meta-Analysis Bipolar Disorder Working Group
.
Hum Brain Mapp
.
2022
;
43
(
1
):
385
398
.

52

Zeng
 
Q
,
Li
 
K
,
Luo
 
X
, et al.  
Distinct atrophy pattern of hippocampal subfields in patients with progressive and stable mild cognitive impairment: a longitudinal MRI study
.
J Alzheimers Dis
.
2021
;
79
(
1
):
237
247
.

53

Scheff
 
SW
,
Price
 
DA
,
Schmitt
 
FA
,
Mufson
 
EJ
.
Hippocampal synaptic loss in early Alzheimer's disease and mild cognitive impairment
.
Neurobiol Aging
.
2006
;
27
(
10
):
1372
1384
.

54

Chayer
 
C
,
Freedman
 
M
.
Frontal lobe functions
.
Curr Neurol Neurosci Rep
.
2001
;
1
(
6
):
547
552
.

55

Ray
 
RD
,
Zald
 
DH
.
Anatomical insights into the interaction of emotion and cognition in the prefrontal cortex
.
Neurosci Biobehav Rev
.
2012
;
36
(
1
):
479
501
.

56

Chen
 
HJ
,
Qiu
 
J
,
Qi
 
Y
, et al.  
Hippocampal subfield morphology in regular hemodialysis patients
.
Nephrol Dial Transplant
.
2023
;
38
(
4
):
992
1001
.

57

Shuaib
 
A
,
Ijaz
 
S
,
Mazagri
 
R
, et al.  
Hypothyroidism protects the brain during transient forebrain ischemia in gerbils
.
Exp Neurol
.
1994
;
127
(
1
):
119
125
.

58

de Jong
 
FJ
,
den Heijer
 
T
,
Visser
 
TJ
, et al.  
Thyroid hormones, dementia, and atrophy of the medial temporal lobe
.
J Clin Endocrinol Metab
.
2006
;
91
(
7
):
2569
2573
.

59

Schoonheim
 
MM
,
Geurts
 
JJG
,
Barkhof
 
F
.
The limits of functional reorganization in multiple sclerosis
.
Neurology
.
2010
;
74
(
16
):
1246
1247
.

60

Cruz-Gómez
 
ÁJ
,
Ventura-Campos
 
N
,
Belenguer
 
A
, et al.  
The link between resting-state functional connectivity and cognition in MS patients
.
Mult Scler
.
2014
;
20
(
3
):
338
348
.

61

Stark
 
CE
,
Squire
 
LR
.
When zero is not zero: the problem of ambiguous baseline conditions in fMRI
.
Proc Natl Acad Sci U S A
.
2001
;
98
(
22
):
12760
12766
.

62

Mueller
 
SG
,
Yushkevich
 
PA
,
Das
 
S
, et al.  
Systematic comparison of different techniques to measure hippocampal subfield volumes in ADNI2
.
Neuroimage Clin
.
2018
;
17
:
1006
1018
.

Abbreviations

     
  • CaMKII

    calcium-dependent calmodulin kinase II

  •  
  • eTIV

    estimated total intracranial volume

  •  
  • FC

    functional connectivity

  •  
  • FT3

    free triiodothyronine

  •  
  • FT4

    free thyroxine

  •  
  • GC-ML-DG

    granule cell molecular layer of the dentate gyrus

  •  
  • HAMA

    Hamilton Anxiety Rating Scale

  •  
  • HAMD-24

    24-item Hamilton Depression Rating Scale

  •  
  • HCs

    healthy controls

  •  
  • LSD

    least significant difference

  •  
  • ML

    molecular layer

  •  
  • MoCA

    Montreal Cognitive Assessment Scale

  •  
  • MRI

    magnetic resonance imaging

  •  
  • OH

    overt hypothyroidism

  •  
  • rs-fMRI

    resting-state functional MRI

  •  
  • SCH

    subclinical hypothyroidism\

  •  
  • T1WI

    T1 weighted image

  •  
  • T3

    triiodothyronine

  •  
  • T4

    thyroxine

  •  
  • TH

    thyroid hormone

  •  
  • TSH

    thyroid-stimulating hormone

Author notes

Taotao Zhang and Lianping Zhao are joint first authors.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights)