Hypoparathyroidism: changes in brain structure, cognitive impairment, and reduced quality of life.

Hypoparathyroidism (HypoPT) is a disease with no/or inadequate production/secretion of parathyroid hormone (PTH) from the parathyroid glands. Low levels of PTH result in hypocalcemia, which is often treated with calcium supplementation and active vitamin-D analogs. However, increasing evidence suggests that HypoPT has a profound impact on several organ systems. Quality of life (QOL) is reduced in patients with HypoPT, partly due to symptoms related to the central nervous system-including subjective feelings of confusion, a reduced ability to focus and think clearly (ie, "brain fog"). However, the extent to which these complex symptoms relate to quantifiable changes in patients' cognitive performance as determined by neuropsychological tests remains unclear. The brains of HypoPT patients may reveal tissue calcifications, but the extent to which long-term brain exposure to low PTH levels and/or changing calcium levels affects brain structure is unknown. In a cross-sectional study, we investigated PTH levels, QOL, cognitive impairment, and brain structure in well-treated post-surgical and non-surgical hypoparathyroid patients compared with healthy controls. QOL was quantified by the SF36v2, WHO-5 wellbeing Index, and two disease-specific questionnaires-the HPQ28 and Hypoparathyroidism Symptom Diary. Cognitive functions were tested using comprehensive neuropsychological. Brain structure was quantified by morphological analyses of magnetic resonance imaging images. We found reduced QOL and cognitive functioning in terms of processing speed, executive functions, visual memory, and auditory memory in HypoPT. Furthermore, HypoPT revealed a reduced volume of the hippocampus-and the size of the thalamus in postsurgical patients was associated with the disease duration. Importantly, patients reporting severe brain fog had a smaller hippocampus than those with less brainfog. HypoPT is associated with quantifiable cognitive deficits and changes in brain structure that align with patient symptoms. Our exploratory study warrants further studies of the neurobiological impact of PTH and of the impact of PTH replacements therapy on patients' cognitive functioning.

Hypoparathyroidism (HypoPT) is a disease with insufficient or no production of parathyroid hormone (PTH) from the parathyroid glands resulting in low plasma levels of PTH and calcium. One of the reported symptoms and complications of HypoPT is low quality of life (QOL) and mild impaired cognitive function, often described as "brain fog." We have compared patients with HypoPT and healthy controls in regard to QOL, cognitive function, and brain structure. We have used QOL questionnaires, neuropsychological tests, and magnetic resonance imaging (MRI). We found a reduced QOL and cognitive function in patients with HypoPT. Furthermore, MRI showed a difference in brain structure, with a reduced volume of the hippocampus area, especially in those reporting severe symptoms of "brain fog." Disease duration was found to be associated with the size of the thalamus. Our study suggests that there might be an association between HypoPT patients' symptoms of cognitive deficits and changes in brain structure.

Microstructural changes in the thalamus after mild traumatic brain injury: A longitudinal diffusion and mean kurtosis tensor MRI study.

PRIMARY OBJECTIVE: The primary aim of this study was to assess microstructural changes in the thalamus, hippocampus and corpus callosum with a fast mean kurtosis tensor (MKT) technique, in the acute and sub-acute phase after mTBI. It was hypothesized that MKT would differ between baseline and follow-up in patients. The secondary aim was to relate diffusion measures to symptoms of mTBI. RESEARCH DESIGN: A longitudinal case-control study. METHODS AND PROCEDURES: Twenty-seven patients with mTBI and 27 age- and gender-matched healthy controls were enrolled in the study. Patients were scanned within 2 weeks and 3 months after mTBI, while the controls were scanned once. MAIN OUTCOMES AND RESULTS: MKT decreased significantly (p = 0.02) from baseline to follow-up in the thalamus in patients. Compared to healthy subjects, thalamic MKT values were significantly larger in patients at baseline (p = 0.048). Secondary analysis revealed a significant decrease (p = 0.01) in fractional anisotropy in the splenium of corpus callosum from baseline to follow-up. CONCLUSIONS: The current study indicates microstructural changes in the thalamus and corpus callosum from within 14 days to 3 months after mTBI and suggests MKT as a potential biomarker after mTBI.

Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantification.

PURPOSE: In both structural and functional MRI, there is a need for accurate and reliable automatic segmentation of brain regions. Inconsistent segmentation reduces sensitivity and may bias results in clinical studies. The current study compares the performance of publicly available segmentation tools and their impact on diffusion quantification, emphasizing the importance of using recently developed segmentation algorithms and imaging techniques. METHODS: Four publicly available, automatic segmentation methods (volBrain, FSL, FreeSurfer and SPM) are compared to manual segmentation of the thalamus and hippocampus imaged with a recently proposed T1-weighted MRI sequence (MP2RAGE). We evaluate morphometric accuracy on 22 healthy subjects and impact on diffusivity measurements obtained from aligned diffusion-weighted images on a subset of 10 subjects. RESULTS: Compared to manual segmentation, the highest Dice similarity index of the thalamus is obtained with volBrain using a local library ([Formula: see text], [Formula: see text]) followed by volBrain using an external library ([Formula: see text], [Formula: see text]), FSL ([Formula: see text], [Formula: see text]), FreeSurfer ([Formula: see text], [Formula: see text]) and SPM ([Formula: see text], [Formula: see text]). The same order is found for hippocampus with volBrain local ([Formula: see text], [Formula: see text]), volBrain external ([Formula: see text], [Formula: see text]), FSL ([Formula: see text], [Formula: see text]), FreeSurfer ([Formula: see text], [Formula: see text]) and SPM ([Formula: see text], [Formula: see text]). For diffusivity measurements, volBrain provides values closest to those obtained from manual segmentations. volBrain is the only method where FA values do not differ significantly from manual segmentation of the thalamus. CONCLUSIONS: Overall we find that volBrain is superior in thalamus and hippocampus segmentation compared to FSL, FreeSurfer and SPM. Furthermore, the choice of segmentation technique and training library affects quantitative results from diffusivity measures in thalamus and hippocampus.