Underwent Brain Magnetic Resonance Imaging Research Articles

Clinical spectrum of adult-onset leukoencephalopathy with axonal spheroids and pigmented glia in individuals of Korean ancestry

Adult-onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP) is a rare white matter disease characterized by axonal and glial injury. Although its clinical characteristics have been described in case reports, the prevalence of CSF1R mutations in clinically suspected ALSP cases remains unclear. Herein, we analysed the frequency of CSF1R mutations in patients with probable or possible ALSP and describe the genetic, clinical, radiological, and pathological findings of ALSP cases in individuals of Korean ancestry. Twenty-eight patients with probable or possible ALSP diagnosed at Samsung Medical Center, Seoul, between January 2014 and August 2020, were retrospectively reviewed. All participants underwent brain magnetic resonance imaging (MRI) and CSF1R genetic testing. Overall, 9 of the 28 patients (32.1%) [5/6 (83.3%) of probable ALSP and 4/22 (18.2%) of possible ALSP] were confirmed to have pathogenic or likely pathogenic variants in CSF1R gene. Additionally, one patient without CSF1R mutation exhibited histopathological findings consistent with ALSP on brain biopsy. All patients with CSF1R mutation presented with cognitive impairment and/or psychiatric symptoms. Brain MRI revealed bilateral white matter hyperintensities in all patients, and 5/8 (62.5%) showed diffusion-restricted lesions. Notably, patients with CSF1R mutation had younger age at onset, rapidly progressive course, and diffuse hyperintensity in the splenium compared to patients without CSF1R mutation. Our findings suggest that for definite diagnosis, CSF1R genetic testing is recommended in patients who meet the diagnostic criteria for possible or probable ALSP. Our findings provide insights into the genetic, clinical, radiological, and pathological dimensions of ALSP in individuals of Korean ancestry.

Correlation between MRI findings of pituitary gland and prolactin level among hyperprolactinemia adult female Saudi patients in rural areas: A retrospective multicentric study.

Identifying the prolactin threshold that necessitates pituitary magnetic resonance imaging (MRI) in patients with hyperprolactinemia remains challenging. Therefore, developing standards for serum prolactin level criteria to predict prolactinoma is critical. This study aimed to investigate the correlation between hyperprolactinemia and the presence of pituitary adenoma among Saudi female patients with verified prolactin levels. A retrospective multicentric study, including 4 regions from western Saudia Arabia between July 2020 and September 2023, included 168 female patients with abnormal prolactin levels who underwent brain MRI for the pituitary gland evaluation. The prevalence of pituitary adenoma and its associated factors and the relationship between blood prolactin levels and pituitary adenoma on brain MRI, as well as establishing the cutoff value of serum prolactin concentration linked to the existence of pituitary adenoma, were investigated and analyzed. The mean prolactin level was 72.7 ± 63.2 ng/mL. MRI findings were microadenoma in 77 (46.1%), macroadenoma in 17 (10.2%), Empty sella syndrome (ESS) in 7 (4.2%), and normal in 66 (39.5%) patients. In the ROC curve analysis, prolactin levels demonstrated a moderate degree of accuracy in predicting the existence of a pituitary adenoma (AUC = 0.640; 95% CI = 0.563-0.713; P = .0010], and the sensitivity and specificity were 40.59% and 83.33%, respectively. The ideal cutoff prolactin level for diagnosing pituitary adenoma was > 38.71 ng/mL with a sensitivity of 77.23% and specificity of 40.91%. It is prudent to perform pituitary imaging in most cases of hyperprolactinemia without event etiology, even if the condition is minor, due to the high prevalence of pituitary anomalies in female patients with hyperprolactinemia at serial sampling. A multidisciplinary strategy is necessary for a comprehensive diagnosis, treatment, and follow-up approach to improve the clinical outcomes of these individuals.

Childhood maltreatment and the structural development of hippocampus across childhood and adolescence.

Prior studies suggest that childhood maltreatment is associated with altered hippocampal volume. However, longitudinal studies are currently scarce, making it difficult to determine how alterations in hippocampal volume evolve over time. The current study examined the relationship between childhood maltreatment and hippocampal volumetric development across childhood and adolescence in a community sample. In this longitudinal study, a community sample of 795 participants underwent brain magnetic resonance imaging (MRI) in three waves spanning ages 6-21 years. Childhood maltreatment was assessed using parent-report and children´s self-report at baseline (6-12 years old). Mixed models were used to examine the relationship between childhood maltreatment and hippocampal volume across time. The quadratic term of age was significantly associated with both right and left hippocampal volume development. High exposure to childhood maltreatment was associated with reduced offset of right hippocampal volume and persistent reduced volume throughout adolescence.Critically, the relationship between childhood maltreatment and reduced right hippocampal volume remained significant after adjusting for the presence of any depressive disorder during late childhood and adolescence and hippocampal volume polygenic risk scores. Time-by-CM and Sex-by-CM interactions were not statistically significant. The present study showed that childhood maltreatment is associated with persistent reduction of hippocampal volume in children and adolescents, even after adjusting for the presence of major depressive disorder and genetic determinants of hippocampal structure.

Brain Age Modeling and Cognitive Outcomes in Young Adults With and Without Sickle Cell Anemia

Both sickle cell anemia (SCA) and socioeconomic status have been associated with altered brain structure and cognitive disability, yet precise mechanisms underlying these associations are unclear. To determine whether brains of individuals with and without SCA appear older than chronological age and if brain age modeling using brain age gap (BAG) can estimate cognitive outcomes and mediate the association of socioeconomic status and disease with these outcomes. In this cross-sectional study of 230 adults with and without SCA, individuals underwent brain magnetic resonance imaging (MRI) and cognitive assessment. Brain age was estimated using DeepBrainNet, a model trained to estimate chronological age from 14 468 structural MRIs from healthy individuals across the lifespan. BAG was defined as estimated brain age minus chronological age. Linear regression examined clinical factors associated with BAG and the ability of BAG to estimate cognitive performance compared to neuroimaging metrics of brain health and ischemic brain injury, such as normalized whole brain volume, white matter mean diffusivity (MD), and infarct volume. BAG and white matter MD were tested further as mediators of the association of socioeconomic status and SCA with cognitive performance. Data were analyzed from October 15, 2023, to July 1, 2024. SCA disease status and economic deprivation as measured using the area deprivation index (ADI). Executive function, crystallized function, processing speed, and full-scale intelligence quotient (FSIQ) were derived from the National Institutes of Health (NIH) Toolbox and Wechsler Abbreviated Scale of Intelligence, Second Edition. Among 230 included adults, 123 individuals had SCA (median [IQR] age, 26.4 [21.8-34.3] years; 77 female [63%]) and 107 individuals did not (control cohort; median [IQR] age, 30.1 [26.3-34.8] years; 77 female [72%]). Participants with SCA had a larger median (IQR) BAG compared to individuals in the control cohort (14.2 [8.0-19.2] vs 7.3 [3.2-11.1] years; median difference, 6.13 years; 95% CI, 4.29-8.05 years; P < .001). Individuals in the control cohort demonstrated a larger BAG relative to the reference population (mean difference, 7.52 years; 95% CI, 6.32-8.72 years; P < .001). Higher economic deprivation was associated with BAG in the control cohort (β [SE] per 1% ADI increase, 0.079 [0.028]; 95% CI, 0.023 to 0.135; P = .006), while intracranial vasculopathy (β [SE], 6.562 [1.883]; 95% CI, 2.828 to 10.296; P < .001) and hemoglobin S percentage (β [SE] per 1% increase, 0.089 [0.032]; 95% CI, 0.026 to 0.151; P = .006) were associated with BAG in participants with SCA. Across neuroimaging metrics of brain health, BAG demonstrated the largest effect size for cognitive outcomes in the control cohort (eg, executive function: r = -0.430; P = .001), while white matter MD demonstrated the largest effect size for cognitive outcomes (eg, executive function: r = -0.365; P = .001) in the SCA cohort. Across the study population, BAG mediated the association of ADI with cognitive performance (eg, executive function: β [SE] per 1-unit decrease in ADI, -0.031 [0.014]; 95% CI, -0.061 to -0.006), while BAG (eg, FSIQ: β [SE], -3.79 [1.42]; 95% CI, -6.87 to -1.40) and white matter MD (eg, FSIQ: β [SE], -4.55 [1.82]; 95% CI, -8.14 to -0.94) mediated the association of SCA with cognitive performance. Adults with SCA and a healthy control cohort with greater economic deprivation demonstrated older brain age, suggestive of insufficient brain development, premature brain aging, or both. Brain estimates of chronological age may inform mechanisms of the association between chronic disease and socioeconomic status with cognitive outcomes in healthy and SCA populations, yet will require confirmation in larger and longitudinal studies.

Changes in Cerebral Hemodynamics and Progression of Subclinical Vascular Brain Disease: A Population-Based Cohort Study.

Cerebral hypoperfusion is associated with vascular brain injury and neurodegeneration, but their longitudinal relationship is largely unknown, especially in healthy older adults. We investigated the longitudinal relationship between cerebral hemodynamics and subclinical vascular brain disease in community-dwelling older adults without stroke or dementia at baseline. Participants underwent brain magnetic resonance imaging scans every 3 to 4 years between 2005 and 2016. Cerebral blood flow (CBF) was measured through 2-dimensional phase-contrast magnetic resonance imaging; the cerebrovascular resistance index (CVRi) was defined as the ratio of mean arterial blood pressure to total CBF. Simultaneous progression in subclinical brain disease was evaluated through repeated magnetic resonance imaging assessment of white matter hyperintensities (WMH), cerebral microbleeds, lacune, and brain atrophy. The longitudinal relationship was estimated using generalized estimating equations, with adjustment for age, sex, smoking habits, body mass index, systolic blood pressure (for CBF measures), lipid level, history of diabetes and cardiovascular disease, and the baseline burden of magnetic resonance imaging markers. Among 3623 older adults (mean age, 61.4±9.3 years; 54.6% women), large decreases and increases in CBF and increases in CVRi over time were associated with white matter hyperintensity progression. The risk ratios for white matter hyperintensity progression were 1.36 (95% CI, 1.19-1.55) for large decreases in total CBF (lowest quartile), 1.02 (95% CI, 0.91-1.14) for moderate decreases (second quartile), and 1.28 (95% CI, 1.14-1.45) for large increases (highest quartile), compared with stable CBF (third quartile). The corresponding risk ratios for changes in CVRi were 1.13 (95% CI, 1.00-1.30), 1.25 (95% CI, 1.09-1.43), and 1.33 (95% CI, 1.16-1.52) for the second to fourth (versus lowest) quartiles, respectively, showing a dose-response relationship. The changes in CBF also demonstrate a similar U-shaped association with the progression of brain atrophy and incident microbleeds, whereas increases in CVRi were associated with lower microbleed risk. Longitudinal changes in CBF and CVRi may capture distinct pathophysiologies linking cerebral hemodynamics to subclinical brain disease, extending beyond single-time point measurements.

Prevalence and associations of cerebral microbleeds in an Australian memory clinic cohort

AbstractBackgroundCerebral microbleeds (CMBs) are small brain haemorrhages, identified by magnetic resonance imaging (MRI). They indicate potential for cognitive decline and mortality in memory clinic attendees. The presence of more than four CMBs is exclusionary for some clinical trials of disease‐modifying therapies for Alzheimer's disease (AD). The prevalence and clinical relevance of CMBs in Australian memory clinic populations has not been reported.AimsTo highlight the prevalence of CMBs in an Australian memory clinic cohort and explore associations with diagnoses, topography and cognitive performance.MethodsWe conducted a retrospective cohort study of 393 patients who attended a memory clinic (CDAMS) in Melbourne, Australia from January 2014 to December 2016 who underwent brain MRI. Data collected included age, gender, clinical diagnosis and cognitive scores. Univariable and multivariable regression analyses were performed to identify associations of CMBs with clinical and cognitive findings.ResultsThe prevalence of CMBs was 27% (n=107) with good inter‐rater reliability (κ=0.75). CMBs were significantly associated with increasing age. Prevalence of CMBs was higher in people with mild cognitive impairment (MCI) (32%) and dementia (39%) compared with other diagnostic groups (p&lt;0.001). Lobar‐predominant CMB distribution was associated with AD diagnosis. Presence of multiple CMBs was associated with poorer cognitive performance overall.ConclusionsCMBs are common in an Australian memory clinic population and are associated with poorer cognitive performance. “Real world” prevalence of CMBs may limit accessibility to disease‐modifying therapies for many people.

Cerebral amyloid angiopathy-related inflammation (CAA-ri): A case report.

Cerebral amyloid angiopathy-related inflammation (CAA-ri) is a treatable condition characterized by an acute or subacute onset, with its primary pathological hallmark being the deposition of amyloid, predominantly β-amyloid (Aβ), within intracranial microvessels. Despite its potential for treatment, CAA-ri is a rare disorder that is frequently underrecognized by clinicians in practice. This article provides a comprehensive overview of the clinical manifestations and therapeutic approaches associated with CAA-ri, aiming to enhance awareness among healthcare professionals. A 67-year-old male patient who suffered from a sudden decline in cognitive functioning, intermittent headache, and dysphoria underwent brain magnetic resonance imaging, susceptibility weighted imaging, and cerebrospinal fluid analysis and was considered probable CAA-ri. During the course of disease development, the patient suffered from a sudden decline in cognitive functioning, mainly in the form of unresponsiveness, decreased comprehension, and increased repetitive language, accompanied by intermittent headaches and dysphoria. Brain magnetic resonance imaging showed numerous white matter in both hemispheres. Susceptibility weighted imaging showed multiple spots of hypointensity in the bilateral cerebral and cerebellar hemispheres, a hypointensity signal in the left occipital lobe, and extensive zones of hypointensity in bilateral sulci. Cerebrospinal fluid analysis was abnormal with elevated levels of protein and low levels of P-tau, Aβ42, and Aβ1-42/Aβ1-40. The use of glucocorticoids greatly reduced his symptoms. This lends credence to the probable CAA-ri diagnosis. The symptoms can be successfully alleviated by administering methylprednisolone sodium succinate. During the patient's hospitalization, immunosuppressive therapy, primarily consisting of methylprednisolone sodium succinate and methylprednisolone, was administered, resulting in a significant improvement in symptoms. Post-discharge, the patient was monitored regularly, revealing a gradual enhancement in cognitive function without recurrence. Consequently, immunosuppressive therapy was discontinued 1 year following the patient's discharge. CAA-ri is a rare clinical condition, and timely diagnosis and early treatment are very critical for patient prognosis.

Middle cerebral artery fenestration with a contralateral early branching investigated through magnetic resonance angiography: an embryological view on an incidental finding.

Middle cerebral artery (MCA) anomalies are a small group of congenital variants, including fenestration, duplication and Twig-like MCA. Some other variants, i.e. in the branching pattern, have been described independently from the previous ones, but their association might raise an embryological reasoning. We are presenting an incidental finding in a patient undergoing brain Magnetic Resonance Imaging (MRI) and Angiography (MRA) for episodic headache, i.e. right MCA fenestration and left MCA very early branching. The patient was investigated only by MRA, being the finding incidental and non-pathological. Among the intracranial arteries, MCA has a lower rate of fenestrations and several embryological hypotheses have been proposed, different from the presumed mechanisms underlying vertebral and basilar artery fenestrations. Both fenestration and early branching in MCA in our case might resemble to a partial MCA duplication with proximal and distal fusion in the first and only a proximal fusion in the second one. The pattern of distribution of the early branches in the left MCA territory may support this view, together with the lenticulostriate perforating arteries origin. The association of several MCA anomalies, as fenestration and early branching, might have a common genesis within the same embryological period.

Different iron distribution patterns in Parkinson's disease and its motor subtypes: a quantitative susceptibility mapping study.

This study utilized quantitative susceptibility mapping (QSM) to evaluate magnetic susceptibility of brain nuclei in Parkinson's disease (PD). To explore iron deposition patterns in PD and ascertain if these patterns can distinguish between motor subtypes. This study enrolled 30 healthy controls and 34 patients with PD categorized mainly into postural instability and gait disorder (PIGD) (n = 12) and tremor dominance (TD) (n = 16). A total of 18 regions of interest were delineated, and a comprehensive classification of nuclei was conducted, including the differentiation of globus pallidus (GP) into its external (GPe) and internal (GPi) segments. All participants underwent brain magnetic resonance imaging. Notable differences in magnetic susceptibility were identified in bilateral substantia nigra pars reticulate (SNr) and substantia nigra pars compacta (SNc) between PD and HC. Significant differences in QSM values of bilateral GPe, SNr, and SNc-R were found between TD and PIGD. The susceptibility values of bilateral putamen (PUT) were positively correlated with MDS-UPDRSIII score and Hoehn-Yahr scale in PD. QSM values of bilateral PUT and SNc-L showed associations with MDS-UPDRSIII score in TD. QSM values showed associations with MDS-UPDRSIII in bilateral PUT and Hoehn-Yahr scale in PUT-L and TH-L in PIGD. Pathologic iron deposition exhibits variability across nuclei of PD, with age also influencing this distribution. SN may be meaningful in identifying different subtypes of PD, such as differentiating PD from HC in the future.

Metastasis Detection Using True and Artificial T1-Weighted Postcontrast Images in Brain MRI.

Small lesions are the limiting factor for reducing gadolinium-based contrast agents in brain magnetic resonance imaging (MRI). The purpose of this study was to compare the sensitivity and precision in metastasis detection on true contrast-enhanced T1-weighted (T1w) images and artificial images synthesized by a deep learning method using low-dose images. In this prospective, multicenter study (5 centers, 12 scanners), 917 participants underwent brain MRI between October 2021 and March 2023 including T1w low-dose (0.033 mmol/kg) and full-dose (0.1 mmol/kg) images. Forty participants with metastases or unremarkable brain findings were evaluated in a reading (mean age ± SD, 54.3 ± 15.1 years; 24 men). True and artificial T1w images were assessed for metastases in random order with 4 weeks between readings by 2 neuroradiologists. A reference reader reviewed all data to confirm metastases. Performances were compared using mid-P McNemar tests for sensitivity and Wilcoxon signed rank tests for false-positive findings. The reference reader identified 97 metastases. The sensitivity of reader 1 did not differ significantly between sequences (sensitivity [precision]: true, 66.0% [98.5%]; artificial, 61.9% [98.4%]; P = 0.38). With a lower precision than reader 1, reader 2 found significantly more metastases using true images (sensitivity [precision]: true, 78.4% [87.4%]; artificial, 60.8% [80.8%]; P < 0.001). There was no significant difference in sensitivity for metastases ≥5 mm. The number of false-positive findings did not differ significantly between sequences. One reader showed a significantly higher overall sensitivity using true images. The similar detection performance for metastases ≥5 mm is promising for applying low-dose imaging in less challenging diagnostic tasks than metastasis detection.

Age-related volume decrease in subcortical gray matter is a part of healthy brain aging in men.

With the global population aging, the number of individuals over 60 is expected to double by 2050. Brain volume increases until age 13, stabilizes between 18 and 35, then declines by 0.2% annually. Magnetic resonance imaging (MRI) studies highlight significant gray matter atrophy, necessitating differentiation between normal aging and neurodegeneration. This study assessed the impact of aging on subcortical gray matter in healthy males to identify biomarkers of physiological aging. A retrospective study of 106 healthy males who underwent brain MRI from 2012 to 2016, divided into two age groups: younger and older than 35years. MRI scans were performed using a 3T machine, and volumetric analysis was conducted with VolBrain software. Subcortical gray matter volumes were compared between groups. The Shapiro-Wilk test evaluated normality. Student's t-test and Mann-Whitney U test were used for statistical analysis, with significance defined as p < 0.05. Total intracranial volume was comparable between age groups (p = 0.527). Significant volume reductions (p < 0.05) were observed in subcortical gray matter structures, including the nucleus accumbens, caudate nucleus, globus pallidus, putamen, thalamus, and ventral diencephalon, particularly on the right side in the elderly group. Subcortical gray matter volume in healthy males shows significant differences between older and younger individuals (p < 0.05), with asymmetrical reduction and certain structures on the right aging more rapidly. These findings are significant for distinguishing healthy aging from neurodegeneration.

Natural Course of the Maxillary Sinus Fungus Ball: Results From Seoul National University Hospital Healthcare Center.

The frequency of paranasal sinus fungus balls, a common form of rhinosinusitis, has increased. Although treatment and causative factors have been well investigated, the evolving nature of the fungal balls remains unelucidated. This study aimed to investigate and analyze the changing patterns of fungus balls. This retrospective study analyzed data from 35 participants selected from a pool of 41,497 patients who underwent brain magnetic resonance imaging (MRI) at a large health care center. The extent of the fungus balls was evaluated by grading them from 1 to 4 based on the MR images. The changing process of the fungus ball was analyzed based on demographics, interval between the MRI scans, comorbidities, and specific dental interventions. The fungus ball grades showed significant progression over time. In the analysis of 29 sinuses with initially low-grade (grades 0, 1, and 2) fungus balls, 15 sinuses showed a grade change <2 (no/minimal change group), whereas 14 sinuses showed grade changes of ≥2 (substantial change group). Intergroup comparison showed that only the interval between the initial and final MRI scans differed significantly (p = 0.008). However, factors, such as age, sex, comorbidities, and history of dental procedures, did not differ significantly between the two groups. This study shows the extent of change in fungus balls, primarily over time. These results offer critical insights into the natural course and progression of the maxillary sinus fungus ball. 4 Laryngoscope, 2024.

A Predictive Model for Perinatal Brain Injury Using Machine Learning Based on Early Birth Data.

It is difficult to predict perinatal brain injury, and performing brain magnetic resonance imaging (MRI) based on suspected injury remains a clinical challenge. Therefore, we aimed to develop a reliable method for predicting perinatal brain injury using a machine learning model with early birth data. Neonates admitted to our institution from January 2017 to June 2024 with a gestational age of ≥36 weeks, a birth weight of ≥1800 g, admission within 6 h of birth, and who underwent brain MRI to confirm perinatal brain injury were included. Various machine learning models, including gradient boosting, were trained using early birth data to predict perinatal brain injury. Synthetic minority over-sampling and adaptive synthetic sampling (ADASYN) were applied to address class imbalance. Model performance was evaluated using accuracy, F1 score, and ROC curves. Feature importance scores and Shapley additive explanations (SHAP) values were also calculated. Among 179 neonates, 39 had perinatal brain injury. There were significant differences between the injury and non-injury groups in mode of delivery, Apgar scores, capillary pH, lactate dehydrogenase (LDH) levels, and whether therapeutic hypothermia was performed. The gradient boosting model with the ADASYN method achieved the best performance. In terms of feature importance scores, the 1 min Apgar score was the most influential predictor. Additionally, SHAP analysis showed that LDH levels had the highest SHAP values. the gradient boosting model with ADASYN oversampling effectively predicts perinatal brain injury, potentially improving early detection for predicting long-term outcomes, reducing unnecessary MRI scans, and lowering healthcare costs.

Association of obesity and metabolic health status with cerebral small vessel disease in stroke-free individuals

Abstract Background It remains unclear whether obesity itself or metabolic abnormalities coexisting with obesity, are associated with stroke. Purpose We aimed to investigate the association of obesity and metabolic health status with cerebral small vessel disease (SVD) in stroke-free participants from a brain health check-up. Methods We conducted a cross-sectional study of 6088 stroke-free participants who underwent brain magnetic resonance imaging at a brain check-up between 2013 and 2020. Participants were categorised according to sex-specific waist circumference and metabolic health status. A metabolically healthy status was defined as the absence of components of metabolic syndrome other than a large waist circumference, such as high blood pressure, hyperglycaemia, and dyslipidaemia. The total SVD score was derived from four magnetic resonance imaging markers: silent lacunar infarcts, cerebral microbleeds, moderate-to-severe white matter hyperintensities, and enlarged perivascular spaces. Results The mean age of the participants was 55±12 years and 46% were women. The prevalence of metabolically healthy obesity was 650 (11%) and the proportion of metabolically healthy obesity among individuals with obesity was 24%. The prevalence of metabolically unhealthy obesity was 2043 (34%), and the proportion of metabolically unhealthy obesity among individuals with metabolically unhealthy individuals was 58%. The prevalence of moderate-to-severe SVD scores (≥2) was 348 (6%), which was higher in metabolically unhealthy individuals, regardless of obesity status. Compared with the metabolically healthy non-obesity group, the metabolically unhealthy non-obesity (odds ratio 2.22 [95% CI, 1.44–3.42]) and metabolically unhealthy obesity (odds ratio, 2.76 [95% CI, 1.80–4.24]) groups had a significantly higher multivariable-adjusted risk for a total SVD score of ≥2. Further sensitivity analyses using BMI-defined obesity instead of waist circumference-defined obesity yielded similar results. Conclusions Abdominal and general obesity alone are not associated with higher total SVD scores in stroke-free individuals. Unhealthy metabolic components, especially high blood pressure and hyperglycaemia, are important risk factors for SVD.

Short Sleep Duration and Hypertension: A Double Hit for the Brain.

Short sleep duration has been associated with an increased risk of cognitive impairment and dementia. Short sleep is associated with elevated blood pressure, yet the combined insult of short sleep and hypertension on brain health remains unclear. We assessed whether the association of sleep duration with cognition and vascular brain injury was moderated by hypertensive status. A total of 682 dementia-free participants (mean age, 62±9 years; 53% women) from the Framingham Heart Study completed assessments of cognition, office blood pressure, and self-reported habitual and polysomnography-derived sleep duration; 637 underwent brain magnetic resonance imaging. Linear regressions were performed to assess effect modification by hypertensive status on total sleep time (coded in hours) and cognitive and magnetic resonance imaging outcomes. There was a significant interaction between sleep duration and hypertensive status when predicting executive function/processing speed (Trail Making B-A) and white matter hyperintensities. When results were stratified by hypertensive status, longer sleep duration was associated with better executive functioning/processing speed scores in the hypertensive group (meaning that shorter sleep duration was associated with poorer executive function/processing speed scores) (self-report sleep: β=0.041 [95% CI, 0.012-0.069], P=0.005; polysomnography sleep: β=0.045 [95% CI, 0.002-0.087], P=0.038), but no association was observed for the normotensive group. Similarly, shorter subjective sleep duration was associated with higher white matter hyperintensity burden in the hypertensive group (β=-0.115 [95% CI, -0.227 to -0.004], P=0.042), but not in the normotensive group. In individuals with hypertension, shorter sleep duration was associated with worse cognitive performance and greater brain injury.

Choroid plexus enlargement in patients with end-stage renal disease: implications for glymphatic system dysfunction.

The choroid plexus plays a role in eliminating detrimental metabolites from the brain as an integral component of the glymphatic system. This study aimed to investigate alterations in choroid plexus volume in patients with end-stage renal disease (ESRD) compared with healthy controls. We enrolled 40 patients with ESRD and 42 healthy controls. They underwent brain magnetic resonance imaging (MRI), specifically using three dimensional T1-weighted imaging. We analyzed choroid plexus volumes and compared them between patients with ESRD and healthy controls. The diffusion tensor image analysis along the perivascular space (DTI-ALPS) index was calculated. We compared the DTI-ALPS index between the ESRD patients and healthy controls. Additionally, we evaluated the association between choroid plexus volume and neuropsychological tests results in patients with ESRD. There were significant differences in choroid plexus volumes between patients with ESRD and healthy controls. The choroid plexus volumes in patients with ESRD were higher than those in healthy controls (1.392 vs. 1.138%, p < 0.001). The DTI-ALPS index in patients with ESRD was lower than that in healthy controls (1.470 ± 0.239 vs. 1.641 ± 0.266, p = 0.005). There were no differences in choroid plexus volumes between patients with ESRD, regardless of the presence of cognitive impairment. However, among the neuropsychological tests, the scores for word-list recognition in verbal memory were negatively correlated with the choroid plexus volume (r = -0.428, p = 0.006). We demonstrated a significant enlargement of the choroid plexus volume in patients with ESRD compared to healthy controls. This finding suggests that patients with ESRD have glymphatic system dysfunction, which may be related to cognitive impairment.

Choroid plexus volumes in patients with transient global amnesia: A retrospective study.

Increased choroid plexus (ChP) volume is well known to be associated with glymphatic system dysfunction. This study aimed to investigate glymphatic system function in patients with transient global amnesia (TGA) compared to healthy controls through ChP volumes measurements. We retrospectively enrolled patients with TGA from our hospital, as well as healthy controls. This was retrospectively observational study followed STROBE guideline. All participants underwent brain magnetic resonance imaging, including three-dimensional T1-weighted imaging. We analyzed and compared ChP volumes between patients with TGA and healthy controls and investigated the relationship between ChP volumes and clinical characteristics in patients with TGA. We enrolled 44 patients with TGA and 47 healthy controls. Among the 44 patients with TGA, 38 experienced a single TGA event, while 6 had recurrent TGA events. ChP volumes did not significantly differ between patients with TGA and healthy controls (2.140% vs 2.089%, P = .568). However, ChP volumes were higher in patients with a single TGA event compared to those with recurrent events (2.204% vs 1.740%, P < .013). We observed a significant positive correlation between ChP volumes and age in patients with TGA (R = 0.282, P = .007). ChP volumes were not associated with the duration of amnesia in patients with TGA (R = 0.187, P = .274). We find no differences in the glymphatic system function, as demonstrated by ChP volume for the first time. This study also found a significant correlation between ChP volume and age in patients with TGA, indicating that aging influences glymphatic system function.

Brain Iron in signature regions relating to cognitive aging in older adults: the Taizhou Imaging Study

BackgroundRecent magnetic resonance imaging (MRI) studies have established that brain iron accumulation might accelerate cognitive decline in Alzheimer’s disease (AD) patients. Both normal aging and AD are associated with cerebral atrophy in specific regions. However, no studies have investigated aging- and AD-selective iron deposition-related cognitive changes during normal aging. Here, we applied quantitative susceptibility mapping (QSM) to detect iron levels in cortical signature regions and assessed the relationships among iron, atrophy, and cognitive changes in older adults.MethodsIn this Taizhou Imaging Study, 770 older adults (mean age 62.0 ± 4.93 years, 57.5% women) underwent brain MRI to measure brain iron and atrophy, of whom 219 underwent neuropsychological tests nearly every 12 months for up to a mean follow-up of 2.68 years. Global cognition was assessed using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Domain-specific cognitive scores were obtained from MoCA subscore components. Regional analyses were performed for cortical regions and 2 signature regions where atrophy affected by aging and AD only: Aging (AG) -specific and AD signature meta-ROIs. The QSM and cortical morphometry means of the above ROIs were also computed.ResultsSignificant associations were found between QSM levels and cognitive scores. In particular, after adjusting for cortical thickness of regions of interest (ROIs), participants in the upper tertile of the cortical and AG-specific signature QSM exhibited worse ZMMSE than did those in the lower tertile [β\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\:\\beta\\:$$\\end{document} = -0.104, p = 0.026; β\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\:\\beta\\:$$\\end{document} = -0.118, p = 0.021, respectively]. Longitudinal analysis suggested that QSM values in all ROIs might predict decline in ZMoCA and key domains such as attention and visuospatial function (all p < 0.05). Furthermore, iron levels were negatively correlated with classic MRI markers of cortical atrophy (cortical thickness, gray matter volume, and local gyrification index) in total, AG-specific signature and AD signature regions (all p < 0.05).ConclusionAG- and AD-selective iron deposition was associated with atrophy and cognitive decline in elderly people, highlighting its potential as a neuroimaging marker for cognitive aging.

Relationship between epilepsy and patent foramen ovale

This study aimed to investigate the prevalence and clinical characteristics of epilepsy in patients with patent foramen ovale (PFO) and the effect of PFO closure on seizures. Patients diagnosed with PFO were recruited and underwent brain magnetic resonance imaging, electrocardiography, transesophageal echocardiography, and transthoracic echocardiography with right ventriculography. In patients with epilepsy, electroencephalography was performed. A total of 110 patients completed the assessment. A chief complaint of chest tightness or palpitations was proportionately higher in patients aged<18 years, whereas headaches and seizures were higher in patients aged≥18 years (χ2=4.69,P<0.05). Comorbid epilepsy was observed in 20.9% of patients with PFO. The age at admission in the epileptic group (14-66(27±14)years) was significantly lower than that in the non-epileptic group (16-81(38±21)years) and that in patients with headache as the chief complaint (16-68(39±12)years) (t=3.29, P<0.05). The multivariate analysis found no risk factors related to the prognosis of epilepsy. The incidence of epilepsy was significantly higher in patients with PFO than in the general population.

Lower estimated glomerular filtration rate relates to cognitive impairment and brain alterations

AbstractINTRODUCTIONChronic kidney disease (CKD) is associated with cognitive decline and changes in brain structure. However, their associations remain unclear, particularly the selective vulnerability characteristics that make some brain regions more vulnerable.METHODSWe investigated the baseline association between estimated glomerular filtration rates (eGFR) and cognitive function in 15,897 individuals from the CARTaGENE cohort. We performed vertex‐based magnetic resonance imaging (MRI) analyses between eGFR and longitudinal cortical thickness in the 1397 participants who underwent brain MRI after 6 years. Imaging transcriptomics was used to characterize the gene expression and neurodegenerative features associated with this association.RESULTSLower eGFR correlated with reduced cognitive performance and brain structure. Brain regions associated with eGFR were enriched for mitochondrial and inflammatory‐related genes. These associations occurred independently from age, sex, education, and body mass index (BMI), Framingham risk score, and white matter lesion volume.DISCUSSIONThis study highlights the link between reduced eGFR, cognitive impairment, and brain structure, revealing some of the kidney–brain axis mechanisms.Highlights Lower eGFR is associated with reduced cognitive abilities. Structural brain changes are mediated by eGFR levels. Specific gene expression patterns correlate with lower eGFR and brain changes. Mitochondrial and inflammation‐related genes were enriched in these patterns.