Ideggyogyaszati Szemle-Clinical Neuroscience最新文献

Background and purpose:

A prerequisite for the treatment of carotid atherosclerosis is the accurate measurement of the stenosis, that is most commonly evaluated by duplex ultrasonography. In this study, we aimed to verify the reliability of 2D and 3D ultrasonography, comparing the data to results of post-mortem micro-CT examination.

Methods:

Neurological patients with any life-threatening, presumably fatal neurological disease were enrolled. Ultrasound examinations were performed with a Philips Epiq 5G machine, using a VL13-5 broadband linear volume array transducer. Plaque length, diameter and vessel area reduction (stenosis) were calculated using the 2D images. Finally, the stenosis was reassessed using automatized, 3D application as well. After the death of the patient, autopsy was performed, during which the previously examined carotid artery was removed. The samples were examined with micro-CT. Similar to the ultrasound examination, plaque length, diameter and vessel area reduction (stenosis) were determined.

Results:

Ten vessels of seven patients were eligible for complex comparison. Plaque diameter and length measured by CT did not correlate with the ultrasound data. CT-measured axial plaque and vessel areas showed no correlation with ultrasound results either. While determining the strength of correlation between stenoses measured by the different modalities, significant correlation was found between the results measured by ultrasound (2D) and CT (Pearson r: 0.902, P<0.001).

Conclusion:

Three-dimensional ultrasound analysis is a spectacular method for examining carotid plaques, as it can assist in a more detailed evaluation of the plaque morphology and composition, thereby identifying plaques with a particularly high risk of stroke. Micro-CT is an excellent tool for the exact determination of calcified plaque areas, but ultrasound images are not suitable yet for such a precise examination due to acoustic shadowing and artifacts.

John Cunningham virus (JCV) is most commonly acquired in childhood and is often asymptomatic throughout life. However, in the case of primary or secondary immunosuppression, it is known to cause progressive multifocal leukoencephalopathy (PML) in the central nervous system. Hereby, we describe a rare case of PML in a patient without known factors of immunosuppression or use of immunomodulation. A 53-year-old female patient was presented with progressive left-side weakness and tremors in the left hand over a period of two months. The patient was diagnosed with PML based on history, examination, cerebrospinal fluid markers, histopathology, and brain magnetic resonance imaging at presentation. Despite detailed examination, nothing was found in the patient to cause an immunosuppressed state. Therapy was started with mirtazapine with significant neurological improvement.To our knowledge, PML in immunocompetent patient with bening prognosis is a very rare condition. There is also no effective treatment. Our case is a complicated example of this condition.

Introduction - Guillain-Barré syndrome (GBS) is an acute inflammatory demyelinating polyneuropathy. In the vast majority of patients, 1-4 weeks before the onset of GBS-related symptoms, an event such as upper respiratory tract or gastrointestinal tract infection, surgical intervention or vaccination is present. To the best of our knowledge, this is the first case of GBS that occurred after intravesical Bacillus Calmette-Guérin (BCG) therapy in the absence of tuberculosis or any other infection in the English literature.
Case report – A 65-year-old male patient, who had no systemic disorders except hypertension and coronary artery disease, underwent transurethral resection of a bladder tumour further to imaging studies investigating macroscopic haematuria. A pathologic examination revealed a non-muscle-invasive high-grade (pT1HG) transitional cell carcinoma. Immediately after the fourth cycle of intravesical BCG, which was administered 2 months after surgery, the patient experienced numbness and weakness in his lower and upper extremities, respectively. There were no signs or symptoms related to an acute cranial pathology or infectious disease. Nerve conduction studies, which were carried out on the 7th day after the onset of the neurologic symptoms, revealed a demyelinating sensorimotor polyneuropathy with mild secondary axonal damage in upper and lower limbs with a sural sparing pattern.
Conclusion - Without tuberculosis infection, GBS can occur secondary to increased immune response and antibodies triggered by intravesical BCG therapy. However, considering the worldwide use of BCG vaccination and thousands of intravesical BCG therapies, this is a very rare adverse effect. 

Background and purpose:

Among epileptic patients who are monitored using the video-electroencephalography monitoring (VEM) technique, in some patients a psychogenic non-epileptic seizure (PNES) can be identified as a definitive diagnosis. The long-term prognosis of these patients is not well known. In this study, we aimed to determine the factors that affect the prognosis of PNES.

Methods:

Forty-one PNES patients diagnosed using VEM between 2012 and 2022 were questioned about their PNES frequencies in the last 12 months. According to their semiological characteristics, PNES types were divided into motor and non-motor seizures. The effects of clinical characteristics (e.g. age, gender, marital status, education level and PNES type) on the prognoses were identified. 

Results:

Twenty-one PNES patients (51.2%) had long-term seizure freedom after VEM. Thirteen of them (31.7%) entered the seizure-free period immediately after VEM, and the other eight (19.5%) continued suffering from PNES for several years and became seizure free in the last 12 months. In the poor-prognosis group, female cases showed worse prognoses than male cases. The prognoses of motor and non-motor PNES types did not show significant differences. 

Conclusion:

This study showed that 51.2% of the PNES patients examined had long-term seizure freedom and that female patients had worse prognoses than male patients.

Background and purpose:

Neuro­cog­nitive aging and the associated brain diseases impose a major social and economic burden. Therefore, substantial efforts have been put into revealing the lifestyle, the neurobiological and the genetic underpinnings of healthy neurocognitive aging. However, these studies take place almost exclusively in a limited number of highly-developed countries. Thus, it is an important open question to what extent their findings may generalize to neurocognitive aging in other, not yet investigated regions. The purpose of the Hungarian Longitudinal Study of Healthy Brain Aging (HuBA) is to collect multi-modal longitudinal data on healthy neurocognitive aging to address the data gap in this field in Central and Eastern Europe.

Methods:

We adapted the Australian Ima­ging, Biomarkers and Lifestyle (AIBL) study of aging study protocol to local circumstances and collected demographic, lifestyle, men­tal and physical health, medication and medical history related information as well as re­cor­ded a series of magnetic resonance imaging (MRI) data. In addition, participants were al­so offered to participate in the collection of blood samples to assess circulating in­flam­matory biomarkers as well as a sleep study aimed at evaluating the general sleep quality based on multi-day collection of subjective sleep questionnaires and whole-night elec­troencephalographic (EEG) data.

Results:

Baseline data collection has al­ready been accomplished for more than a hundred participants and data collection in the se­cond
session is on the way. The collected data might reveal specific local trends or could also indicate the generalizability of previous findings. Moreover, as the HuBA protocol al­so offers a sleep study designed for tho­rough characterization of participants’ sleep quality and related factors, our extended multi-modal dataset might provide a base for incorporating these measures into healthy and clinical aging research. 

Conclusion:

Besides its straightforward na­tional benefits in terms of health ex­pen­di­ture, we hope that this Hungarian initiative could provide results valid for the whole Cent­ral and Eastern European region and could also promote aging and Alzheimer’s disease research in these countries.

Background and purpose:

Body mass index (BMI) is positively correlated with the frequency of carpal tunnel syndrome (CTS). However, there are different types of obesity, and the localization of adipose tissue differs between the genders. In this study, we purposed to investigate whether there was an association between the amount of local adipose tissue thickness and anthropometry in upper extremity with the presence and/or electrophysiological severity of CTS on both genders.

Methods:

Our study included 150 patients who were diagnosed with CTS clinically and electrophysiologically and 165 healthy controls. The biceps and triceps skinfold thickness, the diameters of the wrist and metacarpal joints, and the upper arm circumferences over the belly of the biceps muscle were measured by using skinfold caliper and measuring cylinder. All data were analyzed by using the Statistics Open For All package (SofaStats) programme. To detect the role of anthropometric indexes, we used multivariable multinomial logistic regression models. 

Results:

We revealed that BMI, biceps and triceps adipose tissue thicknesses were higher in females and also in patients with CTS. There was a positive correlation between electrophysiological grades of CTS and BMI with logistic regression analyzes. The mean Wrist circumference/Metacarpo­ph­arengeal Circumference ratio and biceps circumference were higher in moderate CTS groups. Metacarpofarengeal circumference was smaller in mild and moderate CTS cases compared to healthy ones.

Conclusion:

We suggest that the differen­ces between the anatomical bone structure and local adiposity between the genders may play an important role in the occurrence of CTS. Moreover, the structures of proximal muscle groups and distal metacarpal joints may contribute both to the development and severity of CTS.

Aneurysmal bone cysts are benign but locally aggressive bone tumours, most often affecting children and young adults. In this case report, we present the clinical  picture of a 15-year-old boy with progressive, chronic back pain. An MRI of thoracic spine  confirmed a T2 cystic spinal tumour. After considering potential options surgical removal was our choice and gross total removal was achieved with T1-3 short-segment fixation. Aneurysmal bone cysts are often rapidly expanding lesions with vascular  transformation. In order to avoid irreversible damage, in addition to early diagnosis, it is necessary to carefully consider the therapeutic options, perform surgical removal and stabilization as necessary. In case of the presented patient, extensive surgical removal and short-segmentation were performed. At 18 months of follow-up, he had no complaints and was asymptomatic. Follow-up imaging studies showed no residual or recurrent tumour to date.

Background and purpose:

Glioblastoma (GBM), a highly aggressive form of brain tumors, has been extensively studied using OMICS methods, and the most characteristic molecular determinants have been incorporated into the histopathological diagnosis. Research data, nevertheless, only partially have been adopted in clinical practice. Here we aimed to present results of our epige­no­mic GBM profiling to better understand early and late determinants of these tumors, and to share main elements of our findings with practicing professionals.

Methods:

GBM specimens were surgically obtained after first diagnosis (GBM1) and at recurrence (GBM2). DNA was extracted from 24 sequential pairs of formalin-fixed, paraffin-embedded tumor tissues. The Reduced Representation Bisulfite Sequencing kit was used for library preparation. Pooled libraries were sequenced on an Illumina NextSeq 550 instrument. Methylation controls (MC) were obtained from a publicly available database. Bioinformatic analyses were performed to identify differentially methylated pathways and their elements in cohorts of MC, GBM1 and GBM2.

Results:

Several differentially methylated pathways involved in basic intracellular and brain tissue developmental processes were identified in the GBM1 vs. MC and GBM2 vs. MC comparisons. Among differentially me­thylated pathways, those involved in immune regulation, neurotransmitter (particularly dopaminergic, noradrenergic and glutaminergic) responses and regulation of stem cell differentiation and proliferation stood out in the GBM2 vs. GBM1 comparisons.

Conclusion:

Our study revealed biological complexity of early and late gliomagenesis encompassing mechanisms from basic intracellular through distorted neurodevelopmental processes to more specific immune and highjacked neurotransmitter pathways in the tumor microenvironment. These findings may offer considerations for therapeutic approaches.

Background and purpose:

The aim of the study was to investigate the question: Can MRI radiomics analysis of the periaqueductal gray region elucidate the pathophysiological mechanisms underlying various migraine subtypes, and can a machine learning model using these radiomics features accurately differentiate between migraine patients and healthy individuals, as well as between migraine subtypes, including atypical cases with overlapping symptoms?

Methods:

The study analyzed initial MRI images of individuals taken after their first migraine diagnosis, and additional MRI scans were acquired from healthy subjects. Radiomics modeling was applied to analyze all the MRI images in the periaqueductal gray region. The dataset was randomized, and oversampling was used if there was class imbalance between groups. The optimal algorithm-based feature selection method was employed to select the most important 5-10 features to differentiate between the two groups. The classification performance of AI algorithms was evaluated using receiver operating characteristic analysis to calculate the area under the curve, classification accuracy, sensitivity, and specificity values. Participants were required to have a confirmed diagnosis of either episodic migraine, probable migraine, or chronic migraine. Patients with aura, those who used migraine-preventive medication within the past six months, or had chronic illnesses, psychiatric disorders, cerebrovascular conditions, neoplastic diseases, or other headache types were excluded from the study. Additionally, 102 healthy subjects who met the inclusion and exclusion criteria were included. 

Results:

The algorithm-based information gain method for feature reduction had the best performance among all methods, with the first-order, gray-level size zone matrix, and gray-level co-occurrence matrix classes being the dominant feature classes. The machine learning model correctly classified 82.4% of migraine patients from healthy subjects. Within the migraine group, 74.1% of the episodic migraine-probable migraine patients and 90.5% of the chronic migraine patients were accurately classified. No significant difference was found between probable migraine and episodic migraine patients in terms of the periaqueductal gray region radiomics features. The kNN algorithm showed the best performance for classifying episodic migraine-probable migraine subtypes, while the Random Forest algorithm demonstrated the best performance for classifying the migraine group and chronic migraine subtype.

Conclusion:

A radiomics-based machine learning model, utilizing standard MR images obtained during the diagnosis and follow-up of migraine patients, shows promise not only in aiding migraine diagnosis and classification for clinical approach, but also in understanding the neurological mechanisms underlying migraines. 

Background and purpose:

Atrial fibrillation diagnosed after stroke (AFDAS) is a new term used for AF resulting from autonomic dysregulation. It is associated with a lower stroke recurrence compared to patients with known AF before a stroke (KAF). The aim of the study was to explore the characteristics and mortality rates in AFDAS patients.

Methods:

134 ischemic stroke patients (66.1±14.2 years old, n=73 male) were consecutively included in the study. While patients who had known AF with anticoagulant therapy were grouped as KAF, patients with newly documented AF rhythm (either by daily ECG or ambulatory ECG monitoring) were classified as AFDAS. All patients were followed for 1 year to obtain all-cause mortality, cardiac mortality, and neurogenic mortality.

Results:

Of the 134 stroke patients, AF was detected newly in 38 patients and grouped as AFDAS. KAF patients had higher CHA2DS2VASc scores, hs-CRP and NT-proBNP levels, and more insular cortex involvement than the SR group. During the one-year follow-up, 35 stroke patients died. The mortality rate was significantly higher in patients with KAF (12/22; 54.5%) while the mortality rates were similar between AFDAS patients (11/38; 28.9%) and patients with sinus rhythm (SR) (12/74; 16.2%). KAF was an independent predictor when adjusted by age, sex, CHA2DS2VASc and NIHSS scores, and insular cortex involvement. While AFDAS had increased the mortality risk compared to SR, the difference was not significant in univariable and multivariable models.

Conclusion:

AFDAS patients have similar CHA2DS2VASc scores and mortality rates to patients with SR, which implies that AFDAS might be a relatively benign form of AF.