Brain Magnetic Resonance Imaging Research Articles

Comparison of brief olfactory and cognitive assessments to neuroimaging biomarkers in the prediction of cognitive decline and dementia in the MCSA cohort.

We evaluated impaired odor identification and global cognition as simple, cost-effective alternatives to neuroimaging biomarkers to predict cognitive decline and dementia in the Mayo Clinic Study of Aging. Six hundred forty-seven participants (mean 8.1, standard deviation 3.4 years' follow-up) had the following baseline procedures: modified Blessed Information Memory Concentration Test (BIMCT), 12-item Brief Smell Identification Test (BSIT), structural brain magnetic resonance imaging (MRI), and positron emission tomography (PET) imaging with 11C-Pittsburgh compound B (11C-PiB) and fluorodeoxyglucose (FDG; subset). Cognitive decline developed in 102 participants and dementia in 34 participants. In survival analyses, PiB PET showed robust prediction for cognitive decline. Impaired BSIT, impaired BIMCT, MRI, and FDG measures were also significant predictors. The combination of demographics + BSIT + BIMCT showed strong predictive utility (C-index 0.81), similar to demographics + PiB PET (C-index 0.80). Similar but stronger results were obtained for prediction of dementia. Impairment in both odor identification test and global cognition was comparable to PiB PET for predicting cognitive decline and dementia. In 647 participants in the population-based Mayo Clinic Study of Aging, several clinical markers and biomarkers each predicted cognitive decline or dementia during an average 8 years of follow-up. The combination of the demographic variables of age, sex, and education with a brief odor identification test (BSIT) and a global cognitive test (Blessed Information Memory Concentration Test) showed strong predictive utility (C-index 0.81) for cognitive decline that was similar to the demographic variables combined with Pittsburgh Compound B amyloid imaging (C-index 0.80). Combining a brief odor identification test with a brief cognitive test needs consideration as a simple, cost-effective option in the clinical assessment of individuals at risk of cognitive decline and dementia, as well as a potential tool to identify individuals who may benefit from disease-modifying treatments and to screen participants for prevention trials.

Rocky Mountain Spotted Fever Encephalitis and "Starry Sky" Pattern on MRI: A Case Report.

Rocky Mountain Spotted Fever (RMSF) is a tick-borne disease caused by Rickettsia rickettsii (R. rickettsii). RMSF presents after a tick bite with fever, rash, and headache but can also cause more serious neurological manifestations. We report a case of RMSF encephalitis presenting with altered sensorium and rapid progression to coma, fever, and petechial rash, and an magnetic resonance imaging (MRI) brain notable for a "starry sky" pattern. A 61-year-old woman presented with confusion and fever and was diagnosed with a urinary tract infection. Two days later, she became comatose. MRI brain revealed lacunar infarcts in the right centrum semiovale and splenium of the corpus callosum. Lumbar puncture was notable for neutrophilic pleocytosis and elevated protein with negative bacterial and viral cultures. Empiric meningitis therapy was initiated, and she was transferred to our institution. On transfer, she was febrile, comatose, and had a diffuse petechial rash. Repeat MRI brain demonstrated diffuse, innumerable punctate foci of diffusion restriction with susceptibility-weighted signal attenuation throughout cerebral hemispheres in a "starry sky" pattern. Skin biopsy revealed perivascular lymphocytic infiltrates. Serologic RSMF antibody titers were obtained, and doxycycline was initiated for presumed RMSF encephalitis. The family opted to pursue palliative measures, given no clinical improvement. RSMF titers and postmortem PCR from brain tissue were positive for R. rickettsii. This case report highlights the clinical presentation of RMSF encephalitis. RMSF encephalitis should be suspected in a patient presenting with encephalopathy, fever, petechial rash, and MRI brain findings of diffuse punctate foci of diffusion restriction and susceptibility-weighted signal attenuation in a "starry-sky" pattern.

Adjuvant High-Dose Erythropoietin With Delayed Therapeutic Hypothermia in Neonatal Hypoxic-Ischemic Encephalopathy

BackgroundTo evaluate the benefits of high-dose erythropoietin (EPO) combined with therapeutic hypothermia (TH) on brain magnetic resonance imaging (MRI) scores and neurodevelopmental outcomes in neonates with moderate to severe hypoxic-ischemic-ecephalopathy (HIE), especially in neonates who received TH between six to 12 hours of birth. MethodsThis prospective, single-blind, randomized, placebo-controlled trial enrolled term newborns with moderate to severe HIE admitted to neonatal intensive care unit between April 2018 and April 2022. Hypothermia was started within 12 hours of birth. Infants were randomized to receive EPO 1000 U/kg or an equal volume of normal saline (placebo) on days 1, 2, 3, 5, and 7 of age in combination with hypothermia. ResultsFifty-seven neonates with moderate to severe HIE were recruited; 10 were excluded. Forty-seven patients were included: 32 received TH within six hours (group I) and in 15 TH was started within six to 12 hours of birth (group II). The clinical characteristics of mothers and infants, maternal complications, and resuscitations performed during the perinatal period showed no statistical differences between EPO group and placebo groups I and II. The MRI scores and brain injury patterns did not differ between the EPO and placebo groups. There is no statistical significance in either group's seizure and severe electroencephalography background (initial and after rewarming) between EPO and placebo in each group. There were no differences in developmental outcomes (abnormal Denver II > 2 area, Gross Motor Function Classification Score >1); Bayley Scales of Infant and Toddler Development, third edition (BSID-III) score (cognitive, language, and motor); or disability (hearing impairment and impaired vision) between the EPO and placebo groups I and II at 12 and 18 months. ConclusionsAmong term infants with moderate to severe HIE, TH with EPO administration, compared with TH alone, did not reduce brain injury on MRI or the risk of neurological sequelae both in patients who received TH within six hours and in those who received TH later (six to 12 hours). Further studies on the benefit of EPO injection alone or before TH in situations where TH cannot be performed are required.

Algorithm development and metal oxide nanoparticle analysis in magnetic resonance imaging: Advancing neurodegenerative disease diagnostics

Magnetic resonance imaging (MRI) is critical in the diagnosis of neurodegenerative diseases, enabling the detection of brain lesions. Recent research has examined metallic nanoparticles (NPs) as MRI contrast agents (CAs) that can enhance lesion visibility by altering relaxation times. This study investigates the effects of metal oxide NPs on MRI relaxation times and brain lesion signals and proposes an algorithm for automated relaxation time determination using these NPs. The utilized NPs were synthesized using the sol‒gel method and characterized using Fourier-transform infrared spectroscopy and X-ray diffraction. MRI scans were performed on a phantom infused with varying concentrations of each metal oxide NP to assess changes in pixel signal intensities and relaxation rates. Our analysis involved segmenting the MRI images to focus on regions with different NP concentrations. The algorithm computed the longitudinal relaxation time for each region, revealing that Fe2O3 NPs exhibited the most substantial effect on signal intensity and relaxation time. The results indicated a high correlation (r = 0.9977), demonstrating strong agreement and confirming the reliability of our method. Our findings suggest that metallic oxide NPs, particularly Fe2O3, can considerably alter magnetization and act as effective negative CAs in MRI. These capabilities can improve the monitoring and treatment efficacy of neurodegenerative diseases. Our method for quantifying longitudinal relaxation times can potentially enhance routine clinical MRI assessments, offering a promising tool for future clinical applications.

Accelerating multi-coil MR image reconstruction using weak supervision.

Deep-learning-based MR image reconstruction in settings where large fully sampled dataset collection is infeasible requires methods that effectively use both under-sampled and fully sampled datasets. This paper evaluates a weakly supervised, multi-coil, physics-guided approach to MR image reconstruction, leveraging both dataset types, to improve both the quality and robustness of reconstruction. A physics-guided end-to-end variational network (VarNet) is pretrained in a self-supervised manner using a 4 under-sampled dataset following the self-supervised learning via data undersampling (SSDU) methodology. The pre-trained weights are transferred to another VarNet, which is fine-tuned using a smaller, fully sampled dataset by optimizing multi-scale structural similarity (MS-SSIM) loss in image space. The proposed methodology is compared with fully self-supervised and fully supervised training. Reconstruction quality improvements in SSIM, PSNR, and NRMSE when abundant training data is available (the high-data regime), and enhanced robustness when training data is scarce (the low-data regime) are demonstrated using weak supervision for knee and brain MR image reconstructions at 8 and 10 acceleration, respectively. Multi-coil physics-guided MR image reconstruction using both under-sampled and fully sampled datasets is achievable with transfer learning and fine-tuning. This methodology can provide improved reconstruction quality in the high-data regime and improved robustness in the low-data regime at high acceleration rates.

Uncommon Pediatric Immune-Mediated Epilepsy: Disease Course, Diagnosis, and Outcome - A Series of Three Cases.

Immune-mediated epilepsy (IME) constitutes a substantial proportion of drug-refractory epilepsies. Rapid diagnosis and prompt immunosuppression are required along with antiseizure medications (ASMs). Here we report three unrelated children who presented with fever, encephalopathy, and refractory epilepsy and subsequently tested positive for rare intraneuronal and surface receptor antibodies, namely, contactin-associated protein like 2 (CASPR2), glutamic acid decarboxylase (GAD65), and paraneoplastic antigen Ma2 (PNMA2). In all of them, brain magnetic resonance imaging (MRI) was noncontributory. Electroencephalography showed nonspecific interictal epileptic discharges. F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET) brain scan revealed abnormality in metabolic pattern with hypermetabolism in basal ganglia, thalami, frontotemporal cortices, and cerebellar hemispheres, consistent with autoimmune encephalitis. Immunosuppression was initiated along with ASMs. Complete seizure freedom was achieved in GAD65 antibody IME and >50% seizure reduction in CASPR2 and PNMA2 antibody IME. A variable degree of behavioral problems persisted in all. Early immunosuppression is warranted in IME, but does not universally guarantee a complete response.

Acute necrotizing encephalopathy caused by bacterial infection

PurposeAcute necrotizing encephalopathy (ANE), a rare and severe brain disorder, is typically linked to prior infections. ANE predominantly affects children, with most reported cases attributed to viral infections. However, instances of bacterial-induced ANE are infrequent. Here, we present a case of adult-onset ANE associated with bacterial infection.Case descriptionsThe patient exhibited a hyperinflammatory state following a urinary tract bacterial infection, with neurological function rapidly declining into a coma as the illness progressed. Gram culture of blood suggested Escherichia coli infection. A magnetic resonance imaging (MRI) scan of the brain showed symmetrical hyperintense lesions involving bilateral thalami and pons in T2-weighted and fluid-attenuated inversion recovery images. These lesions also presented with diffuse cerebral edema and diffusion restriction and subacute hemorrhage. Based on clinical symptoms and typical brain MRI, ANE was diagnosed, and the patient underwent immunotherapy.ConclusionsThis case underscores the occurrence of ANE triggered by bacterial infection, expanding our understanding of the pathogens associated with this condition. It suggests that ANE may be an immune-mediated disorder rather than solely an infectious disease.

Empowering Brain Tumor Diagnosis through Explainable Deep Learning

Brain tumors are among the most lethal diseases, and early detection is crucial for improving patient outcomes. Currently, magnetic resonance imaging (MRI) is the most effective method for early brain tumor detection due to its superior imaging quality for soft tissues. However, manual analysis of brain MRI scans is prone to errors, largely influenced by the radiologists’ experience and fatigue. To address these challenges, computer-aided diagnosis (CAD) systems are more significant. These advanced computer vision techniques such as deep learning provide accurate predictions based on medical images, enhancing diagnostic precision and reliability. This paper presents a novel CAD framework for multi-class brain tumor classification. The framework employs six pre-trained deep learning models as the base and incorporates comprehensive data preprocessing and augmentation strategies to enhance computational efficiency. To address issues related to transparency and interpretability in deep learning models, Gradient-weighted Class Activation Mapping (Grad-CAM) is utilized to visualize the decision-making processes involved in tumor classification from MRI scans. Additionally, a user-friendly Brain Tumor Detection System has been developed using Streamlit, demonstrating its practical applicability in real-world settings and providing a valuable tool for clinicians. All simulation results are derived from a public benchmark dataset, showing that the proposed framework achieves state-of-the-art performance, with accuracy approaching 99% in ResNet-50, Xception, and InceptionV3 models.

9234 A Case of Gigantism Due to An AIP Gene Mutation: Implications for Genetic Counseling and Preimplantation Genetic Diagnosis

Abstract Disclosure: M. Serebro: None. M. Yacobi Bach: None. N. Even Zohar: None. A. Reches: None. Y. Greenman: None. From the age of 17 the patient experienced accelerated growth, facial changes, and enlargement of hands and feet. Despite having a sister already diagnosed with acromegaly, the patient did not undergo endocrine evaluation until the age of 25, when he was diagnosed with gigantism. Magnetic resonance imaging (MRI) revealed the presence of a macroadenoma with suprasellar extension reaching the optic chiasm. The patient underwent transsphenoidal surgery and excision of a sparsely granulated somatotroph adenoma that was Pit1 positive and exhibited weak immunostaining for growth hormone (GH). Insulin-like growth factor 1 (IGF1) levels normalized after surgery, and a fasting GH level was 0.6 ng/ml. Given the family history and the early onset of the disease, genetic counseling was recommended. Genetic testing revealed a heterozygote likely pathogenic variant in the AIP gene (c.713G>A). This finding prompted the recommendation for genetic testing of all first-degree relatives. The patient and his wife, who desired to have children, were referred to obstetrics and gynecology for pregestational diagnosis. Family segregation testing indicated that the patient's mother also carried the same AIP variant. Preimplantation genetic diagnosis (PGD) was conducted, revealing that 11 out of 20 embryos were carriers of the AIP variant. The non-carrier embryos were selected for implantation, and pregnancy was achieved. Efforts to inform first-degree relatives about the importance of genetic testing were undertaken, and one sister was tested and found to be healthy. Other siblings have not yet been tested. The patient's mother, identified as an AIP variant carrier, underwent endocrine laboratory tests that showed GH, IGF1, and prolactin levels within the normal range. Brain MRI did not reveal a pituitary lesion.This case highlights the significance of genetic counseling and testing in patients with familial endocrine disorders, the potential implications of a molecular diagnosis of a pathogenic AIP variant, and the challenges faced in reproductive decision-making for affected individuals and their families. Presentation: 6/3/2024

8168 From Salt to the Sella- Discovering Empty Sella Syndrome as a Rare Cause of Severe Hyponatremia

Abstract Disclosure: P. Vemparala: None. S. Challagulla: None. Introduction: Hyponatremia is a common electrolyte disorder with potentially life-threatening consequences. Careful evaluation of hyponatremia can uncover significant underlying conditions. We present an interesting case of a patient who presented with symptoms of severe hyponatremia and a workup led us to the discovery of empty sella syndrome as the etiology. Case Presentation: A 54-year-old male with hypertension presented with 2 days of left-sided headache, blurred vision, generalized weakness, and vomiting. Pertinent medication history revealed the use of thiazide diuretic, bupropion and varenicline. Physical examination was unremarkable. Laboratory data showed severe hyponatremia with a serum sodium of 118 meq/L. Initial improvement with fluids was followed by a decline (106-112 meq/L). CT head without contrast showed a prominent empty sella turcica. Workup revealed urine osmolality and elevated urine sodium. A low AM cortisol level of 1.0 mcg/dl (reference range- AM- 7.0 - 25.0 mcg/dl), and decreased adrenocorticotropic hormone (ACTH) level of 5.2 pg/ml (reference range- 7.2 - 63.3 pg/ml) suggested secondary adrenal insufficiency. All other anterior pituitary hormones were normal. Brain magnetic resonance imaging (MRI) confirmed the diagnosis of partial empty sella. Treatment with hypertonic saline, fluid restriction, and steroids led to symptom resolution. Conclusion: Empty sella syndrome is a rare pituitary condition that can be primary- characterized by herniation of the subarachnoid space within the sella, or secondary- which occurs when the sella is empty due to damage to the pituitary gland by tumor, radiation, etc. It can cause potential hypopituitarism, be asymptomatic, or present with symptoms of raised intracranial pressure. In patients with hypopituitarism, deficiencies of ACTH and TSH are rarer and appear to be more common with a complete empty sella. This case emphasizes the need for a comprehensive hyponatremia workup, awareness of secondary adrenal insufficiency, and recognition of the life-threatening potential of even partial empty sella syndrome when untreated. Presentation: 6/1/2024

Seizure recurrence following the first unprovoked seizure: Risk factors among children in UAE.

In a retrospective study of paediatric and adolescent patients in Abu Dhabi, UAE, who experienced their first unprovoked seizure between March 2016 and March 2020, with a minimum one-year follow-up, we identified significant risk factors associated with seizure recurrence. Among 317 patients, 96.2% experienced seizure recurrence, with the majority (68.8%) occurring within the first 6-month follow-up period. Notable risk factors for recurrence included focal seizures, symptomatic seizure causes, abnormal initial electroencephalogram (EEG) findings, abnormal brain magnetic resonance imaging results, and the presence of neurological disorders. Interestingly, the type of epileptiform activity in the initial EEG did not predict recurrence risk. Over a 3-year period, the overall recurrence risk was 98.4%, particularly higher in cases with symptomatic seizures compared to idiopathic (genetic) ones. These findings underscore the importance of vigilant monitoring, particularly in the early post-seizure follow-up period, and advocate for initial EEG assessments, especially in cases of remote symptomatic first unprovoked seizures.

Enhancing Stroke Recognition: A Comparative Analysis of Balance and Eyes-Face, Arms, Speech, Time (BE-FAST) and Face, Arms, Speech, Time (FAST) in Identifying Posterior Circulation Strokes.

Background/Objectives: Posterior circulation stroke (PCS) poses a diagnostic challenge due to the diverse and subtle clinical manifestations. While the FAST (Face, Arms, Speech, Time) mnemonic has proven effective in identifying anterior circulation stroke, its sensitivity to posterior events is less clear. Recently, the addition of Balance and Eyes to the mnemonic has been proposed as a more comprehensive tool for stroke recognition. Despite this, evidence directly comparing the effectiveness of BE-FAST and FAST in identifying PCS remains limited. Methods: A retrospective analysis was performed on stroke calls at a comprehensive stroke centre, Sydney, Australia. BE-FAST symptoms first assessed at an emergency department triage were recorded, along with automated acute computerised tomography perfusion (CTP) imaging findings. Haemorrhagic strokes were excluded from analysis. An ischaemic stroke diagnosis was confirmed 48-72 h later with magnetic resonance imaging (MRI) brain. The performance of 1. BE-FAST and FAST and 2. BE-FAST and CTP in the hyperacute detection of posterior circulation ischaemic stroke was compared. Results: Out of 164 identified ischaemic infarcts confirmed on MRIs, 46 were PCS. Of these, 27 were FAST-positive, while 45 were BE-FAST-positive. Overall, BE-FAST demonstrated a higher sensitivity compared to FAST in identifying PCS (97.8 vs. 58.7) but suffered from a lower specificity (10.0 vs. 39.8). Notably, 39.1% (n = 18) of patients with PCS would have been missed if only FAST were used. Furthermore, of the 26 PCS negative on CTP, 25 were BE-FAST-positive, and 14 were FAST-positive. Conclusions: The incorporation of Balance and Eye assessments into the FAST protocol improves PCS detection, although may yield more false positives.

Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decomposition

The advent of artificial intelligence in medical imaging has paved the way for significant advancements in the diagnosis of brain tumors. This study presents a novel ensemble approach that uses magnetic resonance imaging (MRI) to identify and categorize common brain cancers, such as pituitary, meningioma, and glioma. The proposed workflow is composed of a two-fold approach: firstly, it employs non-trivial image enhancement techniques in data preprocessing, low-rank Tucker decomposition for dimensionality reduction, and machine learning (ML) classifiers to detect and predict the type of brain tumor. Secondly, persistent homology (PH), a topological data analysis (TDA) technique, is exploited to extract potential critical areas in MRI scans. When paired with the ML classifier output, this additional information can help domain experts to identify areas of interest that might contain tumor signatures, improving the interpretability of ML predictions. When compared to automated diagnoses, this transparency adds another level of confidence and is essential for clinical acceptance. The performance of the system was quantitatively evaluated on a well-known MRI dataset, with an overall classification accuracy of 97.28% using an extremely randomized trees model. The promising results show that the integration of TDA, ML, and low-rank approximation methods is a successful approach for brain tumor identification and categorization, providing a solid foundation for further study and clinical application.

Morphological Evaluation of Corpus Callosum Atrophy Over Time in Relapsing Remitting Multiple Sclerosis

Objective: Multiple sclerosis (MS) is a chronic central nervous system (CNS) disease that generally affects young adults and is marked by inflammation, demyelination, and neurodegeneration. Magnetic resonance imaging (MRI) is widely used diagnosis tool for relapsing remitting MS (RRMS). Corpus callosum (CC), the largest commissural tract in brain which is associated with both cognitive and physical impairment by atrophy in MS. Our study aimed to evaluate CC in RRMS patients using MR images and compare it to measurements from healthy controls within the same age. Methods: We manually measured changes in CC thickness in T1 brain MR images of RRMS patients in 2017, 2019, and 2022. Results: Our results showed that control group had greater thickness, length, and index values in all CC sections compared to patient group. Additionally, a significant difference was observed in thickness of genu and splenium sections and CC index between patient and control groups. However, no significant difference was detected in truncus part of CC or overall CC length. CC measurements in patient group decreased over time, with 1st MRI showing greater values than 2nd and 3rd MRI scans. Furthermore, there was a statistically significant difference in thickness of truncus part of CC and volume values of subcortical areas between 2nd-3rd and 1st-3rd MRI measurements. Conclusion: As a result of these findings, our study provides important information about changes in CC measurements for MS patients.

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.

West Nile Virus Neuroinvasive Disease: Lessons From Two Cases.

West Nile neuroinvasive disease (WNND) displays a wide range of clinical manifestations due to its involvement of various structures within the central nervous system and peripheral nervous system, often including prolonged unresponsiveness as the presenting symptom. We describe 2 patients presenting with coma and bilateral thalamic lesions on brain magnetic resonance imaging, found to have WNND after extensive workup. These cases illustrate some of the challenges associated with evaluating coma in general and specifically in diagnosing WNND. The clinical diagnosis of WNND requires a high index of suspicion, particularly in immunocompromised and elderly patients. Brain and spine magnetic resonance imaging findings can help narrow down the differential diagnosis, although other diseases may manifest similarly. Serological studies on the cerebrospinal fluid are essential to confirm the diagnosis but have inherent limitations. Given these challenges, WNND should be considered in all patients living in endemic areas who present with unexplained altered mental status during the late summer and early fall seasons.

T2 Hyperintensities in Children with Neurofibromatosis Type 1

Areas of increased signal intensity, known as T2 hyperintensities (T2Hs), observed on T2-weighted magnetic resonance imaging (MRI) scans, are linked to a spectrum of brain abnormalities in children with neurofibromatosis type 1 (NF1). Defining the radiological characteristics that distinguish non-neoplastic from neoplastic T2Hs in children with NF1 is crucial. Then, we could identify lesions that most likely to require oncologic surveillance. We conducted a single-center retrospective review of all available brain MRIs from 98 children with NF1 and 50 healthy pediatric controls. All T2Hs identified on MRI were characterized based on location, imaging features, presence of lesion related symptoms. Subsequently, all T2Hs were classified using newly established criteria and categorized into three distinct groups: low-risk tumor lesions, medium-risk tumor lesions, and high-risk tumor lesions. Lesions deemed to be high-risk will be recommended for surgical treatment. T2Hs were present in 61 (62.2%) individuals of the NF1 cohort. T2Hs were a highly sensitive (100%; 95% confidence interval [CI] 92.9%-100.0%) and specific (62.2%; 95% CI 51.9%-71.8%) marker for the diagnosis of NF1. In children aged 4-10, the detection rate of T2Hs is significantly higher than in children under 4 years old and those aged between 10 and 18(P<0.05). T2Hs were most frequently located in basal ganglia, cerebellar hemispheres, and brainstem. During the follow-up process, none of lesions categorized as low-risk or medium-risk tumor lesions progressed to high-risk tumor lesions. Seven patients had high-risk tumor lesions and underwent surgical treatment.The pathological assessment identified 5 cases of glioma among the 7 patients, along with 1 case of gliosis and 1 case of vascular dysplasia. Low-risk and medium-risk tumor lesions can both be classified as unidentified bright objects(UBOs).UBOs constituted the majority of T2Hs in children with NF1. High-risk tumor lesions should be considered as probable tumors.With the application of standardized radiologic criteria, a high prevalence of probable brain tumors will be identified in this at-risk population of children, which underscores the importance of vigilant and appropriate oncological surveillance to ensure timely detection and intervention for these tumors.

Brain Magnetic Resonance Imaging Responses to Nonhypoxic Hypobaric Decompression

INTRODUCTION: The pathophysiological basis of neurological decompression sickness and the association between cerebral subcortical white matter (WM) change and nonhypoxic hypobaria remain poorly understood. Recent study of altitude decompression sickness risk evaluated acute WM responses to intensive hypobaric exposure using brain magnetic resonance imaging. METHODS: Six healthy men (20 to 50 yr) completed 6 h of hyperoxic hypobaria during three same-day altitude chamber decompressions to pressure altitudes ≥ 22,000 ft (6706 m). Research magnetic resonance imaging sequences, conducted on the days preceding and following decompression, evaluated subcortical WM integrity, cerebral blood flow, neuronal integrity (fractional anisotropy), and neurometabolite concentrations. RESULTS: No subcortical lesions were evident on diffusion weighted imaging and WM fractional anisotropy was unaffected. Mean WM blood flow was upregulated by 20% to over 25 mL · 100 g−1 · min−1. Gray matter flow was unchanged. There were no changes in gray matter or cerebellar neurometabolites. In parietal subcortical WM, levels of γ-aminobutyric acid (GABA) fell from (mean ± SD) 1.68 ± 0.2 to 1.35 ± 0.3 institutional units while glutathione (GSH) fell from 1.71 ± 0.4 to 1.25 ± 0.3 institutional units. Lactate increased postexposure in five subjects. CONCLUSIONS: Postexposure decrements in GABA and GSH imply WM insult with loss of neuroprotection and oxidative stress. An association between decrements in GABA and GSH support a common origin, while GSH decrements also correlate with WM blood flow responses. WM lactate increments are prone to error but suggest dysregulation of subcortical microvascular flow. WM neurometabolite and blood flow indices did not normalize by 24 h postexposure. Connolly D, Davagnanam I, Wylezinska-Arridge M, Mallon D, Wastling S, Lee VM. Brain magnetic resonance imaging responses to nonhypoxic hypobaric decompression. Aerosp Med Hum Perform. 2024; 95(10):733–740.

Variants loci and phenotype correlation of TRIM8-related neuro-renal syndrome: three cases reports and literature review.

TRIM8-related neuro-renal syndrome (NRS), caused by pathogenic variants of the TRIM8 gene, is characterized by epilepsy, developmental delay (DD) and renal disorders. The severity of the neurological effects as well as the presence of renal disorders is variable among patients. Here, we report three additional patients with clinical features compatible with NRS and summarize the association between the variants' loci and phenotype of TIRM8-related NRS. A retrospective analysis was conducted for three Chinese children with NRS due to TRIM8 variants identified through whole-exome sequencing (WES). Previous reports of patients with TRIM8-related NRS were reviewed systematically. Demographic and clinical data were collected from these patients. Two de novo TRIM8 truncating variants in three NRS patients were identified in our study, including c.1327_c.1328delCCinsTG (p. Arg443*) and c.1375C>T (p.Gln459*). Our three patients all exhibited drug-resistant epilepsy and early-onset DD, and two of whom developed electrical status epilepticus during sleep (ESES). Brain magnetic resonance imaging (MRI) showed periventricular leukomalacia in one patient and normal in the other two. All three patients demonstrated nephrotic range proteinuria (NRP) or nephrotic syndrome (NS) with normal renal function during follow-up. There was a total of 27 patients with TRIM8-related NRS have been identified to date. The most common clinical features are renal diseases (89%), DD (89%), followed by epilepsy (78%). 67% of patients eventually progressed to end-stage renal disease (ESRD). Focal seizure was the most frequent seizure type (57%). 52% of patients presented drug-resistant epilepsy. 64% of patients exhibited non-specific brain MRI abnormalities. Brain atrophy was the most common change (50%). Two patients with TRIM8 variants closer to the N-terminal had neurological diseases without renal damage. Five patients with TRIM8 variants closer to the C-terminal had no severe neurological diseases. Seven patients had Gln459* variant which is the most common variant (7/27, 25.9%). The severity of the renal and neurological damage of the seven patients was variable. This study expands the number of individuals with confirmed NRS due to pathogenic variants in TRIM8. Neurological and renal phenotype with the same variant locus differed in their severity. Further research is needed to explore the relationship between genotype and phenotype of TRIM8 variants.

Primary Central Nervous System Burkitt's Lymphoma in a Pediatric Patient: A Case Report and Literature Review.

The objective of this research is to examine the therapy and outlook of pediatric primary central nervous system Burkitt lymphomas. This study involves a retrospective analysis of the clinical data of a child with primary central nervous system Burkitt lymphoma who underwent treatment in our department. In addition, pertinent literature was reviewed to provide a comprehensive understanding of the topic. The patient was admitted to the neurosurgery department with symptoms of headache and vomiting. Brain magnetic resonance imaging (MRI) revealed multiple lesions in the right frontal and temporal lobes, dorsal thalamus, and posterior medulla oblongata. Most of the tumor mass was surgically removed from the right ventricle and diagnosed as Burkitt lymphoma. Abnormal lymph nodes were not found outside of the central nervous system. The patient achieved complete remission (CR) after receiving 6 cycles of treatment (R-AA-BB-CC-AA-BB-CC) based on the regimen of the Southern Pediatric Non-Hodgkin Lymphoma Treatment Collaboration Group 2017. As of November 23, 2023, the patient remained alive with no evidence of recurrence. Primary central nervous system Burkitt lymphoma is rare in children, and there is no universally accepted treatment protocol. However, the regimen outlined by the South China Children's Cancer Group-Non-Hodgkin Lymphoma in 2017 (SCCCG-NHL-2017) can serve as a useful reference for treating pediatric non-Hodgkin lymphoma.