Browsing by Author "Radojičić, Aleksandra (25122016700)"

Background/Aim. Examination of cerebrovascular reactivity in patients with primary headaches is focused mainly on migraine, while the smaller number of studies deals with tensiontype and cluster headache, or comparison of cerebral haemodynamic in migraine and tension-type headache (TTH). In this study, we hypothesized that cerebrovascular reactivity differs among different types of episodic primary headaches. In order to prove that we aimed to compare the interictal cerebrovascular reactivity in patients with the episodic form of the three most common types of primary headaches using the breath holding test. Methods. Examination was performed in 243 patients, 100 migraineurs with aura (group I), 70 migraineurs without aura (group II), 38 patients with episodic tension-type headache (group III), 35 patients with episodic form of cluster headache (group IV) and 35 healthy controls (group V). The Doppler instrument was used for transcranial doppler (TCD) sonography and breath-holding test performance. Blood flow mean velocities (MV), pulsatility indices (PI) and breath-holding index (BHI) for middle cerebral artery among these groups were analyzed. Results. The mean velocities and pulsatility indices were not different in 4 groups of headache patients and controls. The BHI was found to be significantly greater in the migraineurs with aura (1.668 ± 0.269) compared with the patients with migraineurs without aura (1.411 ± 0.358, p = 0.005), tension type headache (1.401 ± 0.428, p = 0.035), cluster headache (1.203 ± 0.311, p < 0.01) and controls (1.195 ± 0.269, p < 0.01) showing an exaggerated reactivity to hypercapnia in patients with migraine with aura. Conclusion. In conclusion, our finding support the literature data that increased cerebrovascular reactivity is a feature of migraine with aura. Result of unchanged cerebrovascular reactivity in migraine without aura, cluster headache and tension-type headache is expected, still, it is possible that in future, using different technique, we will be able to put more light on vascular changes that are following different headache disorders. © 2018, Inst. Sci. inf., Univ. Defence in Belgrade. All rights reserved.

Background: Previous studies have developed the Migraine Aura Complexity Score (MACS) system. MACS shows great potential in studying the complexity of migraine with aura (MwA) pathophysiology especially when implemented in neuroimaging studies. The use of sophisticated machine learning (ML) algorithms, together with deep profiling of MwA, could bring new knowledge in this field. We aimed to test several ML algorithms to study the potential of structural cortical features for predicting the MACS and therefore gain a better insight into MwA pathophysiology. Methods: The data set used in this research consists of 340 MRI features collected from 40 MwA patients. Average MACS score was obtained for each subject. Feature selection for ML models was performed using several approaches, including a correlation test and a wrapper feature selection methodology. Regression was performed with the Support Vector Machine (SVM), Linear Regression, and Radial Basis Function network. Results: SVM achieved a 0.89 coefficient of determination score with a wrapper feature selection. The results suggest a set of cortical features, located mostly in the parietal and temporal lobes, that show changes in MwA patients depending on aura complexity. Conclusions: The SVM algorithm demonstrated the best potential in average MACS prediction when using a wrapper feature selection methodology. The proposed method achieved promising results in determining MwA complexity, which can provide a basis for future MwA studies and the development of MwA diagnosis and treatment. © 2023, The Author(s).

Introduction: Migraine with aura (MwA) is a neurological condition manifested in moderate to severe headaches associated with transient visual and somatosensory symptoms, as well as higher cortical dysfunctions. Considering that about 5% of the world’s population suffers from this condition and manifestation could be abundant and characterized by various symptoms, it is of great importance to focus on finding new and advanced techniques for the detection of different phenotypes, which in turn, can allow better diagnosis, classification, and biomarker validation, resulting in tailored treatments of MwA patients. Methods: This research aimed to test different machine learning techniques to distinguish healthy people from those suffering from MwA, as well as people with simple MwA and those experiencing complex MwA. Magnetic resonance imaging (MRI) post-processed data (cortical thickness, cortical surface area, cortical volume, cortical mean Gaussian curvature, and cortical folding index) was collected from 78 subjects [46 MwA patients (22 simple MwA and 24 complex MwA) and 32 healthy controls] with 340 different features used for the algorithm training. Results: The results show that an algorithm based on post-processed MRI data yields a high classification accuracy (97%) of MwA patients and precise distinction between simple MwA and complex MwA with an accuracy of 98%. Additionally, the sets of features relevant to the classification were identified. The feature importance ranking indicates the thickness of the left temporal pole, right lingual gyrus, and left pars opercularis as the most prominent markers for MwA classification, while the thickness of left pericalcarine gyrus and left pars opercularis are proposed as the two most important features for the simple and complex MwA classification. Discussion: This method shows significant potential in the validation of MwA diagnosis and subtype classification, which can tackle and challenge the current treatments of MwA. Copyright © 2023 Mitrović, Petrušić, Radojičić, Daković and Savić.

Introduction: Migraine with aura (MwA) is a neurological condition manifested in moderate to severe headaches associated with transient visual and somatosensory symptoms, as well as higher cortical dysfunctions. Considering that about 5% of the world’s population suffers from this condition and manifestation could be abundant and characterized by various symptoms, it is of great importance to focus on finding new and advanced techniques for the detection of different phenotypes, which in turn, can allow better diagnosis, classification, and biomarker validation, resulting in tailored treatments of MwA patients. Methods: This research aimed to test different machine learning techniques to distinguish healthy people from those suffering from MwA, as well as people with simple MwA and those experiencing complex MwA. Magnetic resonance imaging (MRI) post-processed data (cortical thickness, cortical surface area, cortical volume, cortical mean Gaussian curvature, and cortical folding index) was collected from 78 subjects [46 MwA patients (22 simple MwA and 24 complex MwA) and 32 healthy controls] with 340 different features used for the algorithm training. Results: The results show that an algorithm based on post-processed MRI data yields a high classification accuracy (97%) of MwA patients and precise distinction between simple MwA and complex MwA with an accuracy of 98%. Additionally, the sets of features relevant to the classification were identified. The feature importance ranking indicates the thickness of the left temporal pole, right lingual gyrus, and left pars opercularis as the most prominent markers for MwA classification, while the thickness of left pericalcarine gyrus and left pars opercularis are proposed as the two most important features for the simple and complex MwA classification. Discussion: This method shows significant potential in the validation of MwA diagnosis and subtype classification, which can tackle and challenge the current treatments of MwA. Copyright © 2023 Mitrović, Petrušić, Radojičić, Daković and Savić.

Background: This study investigated for a possible contributing role of hippocampus in the different clinical phenotypic manifestations of migraine aura. Methods: Herein, patients were categorized as those with pure visual aura (MwAv), those who reported additional somatosensory and dysphasic symptoms (MwAvsd), and healthy controls (HCs). Neuroimaging data obtained using FreeSurfer-based segmentation of hippocampal subfields were compared between HCs and patients with migraine with aura, as well as between HCs and those with MwAv and MwAvsd. The average migraine aura complexity score (MACS) was calculated for each patient to investigate the correlation between hippocampal subfield volume and migraine aura complexity. Results: Herein, 46 patients with migraine with aura (28 MwAvsd and 18 MwAv) and 31 HCs were included. There were no significant differences in the hippocampal subfields between HCs and patients with migraine with aura. The average MACS negatively correlated with the volumes of the left and right hippocampi, Cornu Ammonis (CA) 1, CA3, CA4, molecular layer, left granule cell layer of the dentate gyrus, hippocampal fissure, and hippocampus-amygdala transition area. The MwAvsd subgroup had significantly smaller whole hippocampal volumes in both hemispheres, as well as in both subicula, compared with the MwAv subgroup and HCs. In addition, the left molecular layer, right CA1, and hippocampal fissures were significantly smaller in the MwAvsd group than in the MwAv subgroup and HCs. Conclusions: Smaller left and right hippocampal volumes, particularly of the subiculum/CA1 area, may play an important role in the pathophysiology of somatosensory and dysphasic symptoms in migraine with aura. © The Author(s) 2024.

INTRODUCTION: Hemiballism (HB) is a relatively rare hyperkinetic disorder commonly caused by an acute stroke. Such patients usually receive symptomatic therapy with limited effect. We report the case of an acute stroke patient with HB who was successfully treated with intravenous recombinant tissue plasminogen activator (rtPA). CASE REPORT: A 67-year-old man with a history of hypertension and ischemic coronary heart disease presented in the emergency room 85 minutes after sudden onset of involuntary coarse flinging movements of the left arm and leg. Neurological investigation revealed oromandibular dyskinesia; left blepharospasm; dyskinetic movements of the head and neck; dysarthria; and forceful, jerky, irregular, flinging, large-amplitude involuntary movements involving his left arm and left leg. Initial brain computed tomography showed only mild confluent periventricular hypodensities in the vicinity of the frontal horns. The calculated National Institutes of Health Stroke Scale score was 1, for dysarthria. The sudden onset of HB, however, suggested an acute stroke and we decided to treat the patient with intravenous rtPA. Thrombolytic therapy with rtPA began 200 minutes after symptom onset, and after the patient's increased arterial blood pressure was resolved. Follow-up examination performed 12 hours after therapy revealed only mild dysarthria; mild ataxia of the left arm, and ataxic gait. Delayed brain computed tomography did not indicate recent ischemia, although a fluid attenuated inversion recovery magnetic resonance imaging sequence revealed high signal intensity lesions in the vicinity of the right putamen and left cerebellar hemisphere. After 1 month, a follow-up examination revealed only mild dysarthria and mild ataxia of the left arm. CONCLUSIONS: Acute stroke patients with low National Institutes of Health Stroke Scale score, including patients with HB, should be considered as candidates for thrombolytic treatment. Copyright © 2011 by Lippincott Williams &Wilkins.

Introduction. Tolosa-Hunt syndrome (THS) is a rare entity, characterized by unilateral orbital pain associated with paresis of one or more of the oculomotor cranial nerves and caused by a granulomatous inflammation in the cavernous sinus, superior orbital fissure or orbit. The low prevalence of THS with a broad spectrum of other disorders that could cause painful ophtalmoplegia resulted in a stricter diagnostic criteria of THS in the latest edition of the International Classification of Headache Disorders. Current criteria require demonstration of granuloma by magnetic resonance imaging or biopsy. The diagnosis could be difficult and the initiation of treatment delayed due to a high variablity of clinical presentation of TSH. Reducing the number of patients that, based on clinical presentation, could be classified as having THS, but do not fullfil all diagnostic criteria further complicates establishing of correct diagnosis. Case report. Hereby we presented eight patients diagnosed with and treated for THS. Inspite the exclusion of other causes of painful ophtalmoplegia, granuloma could not be demonstrated in a half of patients. Clinical presentation of THS in patients with and without shown granuloma, did not significantly differ concerning headache characteristics (localization, intensity, quality, duration preceding cranial nerve palsy, response to steroids), the affected cranial nerve, disease course and response to the treatment, as well as types of diagnostic procedures that were performed in ruling out other diseases from the extensive differential diagnosis of painful ophthalmoplegia. Conclusion. There is no significant difference between the THS patients with and without demonstrated granuloma. © 2017, Institut za Vojnomedicinske Naucne Informacije/Documentaciju. All rights reserved.