scholarly journals Analysis on the MRI and BAEP  Results of Neonatal Brain with Different Levels of Bilirubin

2020 ◽  
Author(s):  
LU ZHONGXING ◽  
SHOULING DING ◽  
FEN WANG ◽  
Haitao Lv
Keyword(s):  
Central Nervous System ◽  
Brain Mri ◽  
Full Term ◽  
Normal Brain ◽  
Central Nervous System Damage ◽  
Severe Group ◽  
The Difference ◽  
The Brain ◽  
Abnormal Ratio ◽  
Abnormal Brain

Abstract Background：To explore whether there is abnormality of neonatal brains’ MRI and BAEP with different bilirubin levels, and to provide an objective basis for early diagnosis on the bilirubin induced subclinical damage on brains.Methods: To retrospectively analyze the clinical data of 103 neonatal patients, who had been hospitalized in Neonatology Department of Taicang First People’s Hospital from March 2013 to September 2015, to conduct routine brain MRI examination , BAEP testing and to analyze BAEP and MRI image results of the neonatal patients, who were divided into three groups based on the levels of total serum bilirubin concentration (TSB), 16 cases in mild group (TSB:0.0~229.0μmol/L), 49 cases in moderate group (TSB: 229.0~342.0μmol/L) and 38 cases in severe group (TSB≥342.0μmol/L); Results: We found as follows: A. Comparison of the bilirubin value of the different group : 1. The bilirubin value of the mild group is 171.99±33.50 μmol/L, the moderate group is293.98±32.09 μmol/L, and the severe group is 375.59±34.25 μmol /L . And the comparison of bilirubin values of the three groups of neonates (P＜0.01) indicates the difference is statistically significant (P＜0.01). 2. The bilirubin value of the pre-term group is 289.70±85.38μmol/Land the full-term group is 310.36±72.32 μmol/L, but the comparison of the bilirubin values between pre-term group and full-term group indicates that the difference is not statistically significant (P＞0.05).3. The bilirubin value of the normal brain MRI group(82) is 305.55±74.54 μmol/L and the abnormal brain MRI group is 303.56±83.04μmol/L; the comparison of bilirubin values between the two groups indicates that the difference is not statistically significant(P＞0.05). B. The weight value of the ﹤2500g group is 2.04±0.21 and the ≥2500ggroup is 3.39±0.46; the weight comparison of the two groups indicates that the difference is statistically significant (P＜0.01). C. Comparison of the abnormal MRI of the different groups: 1.The brain MRI result's abnormal ratio of the mild group is 31.25%, the moderate group is 16.33% and the severe group is 21.05%, but the comparison of brain MRI results of the three neonates groups indicates that the difference is not statistically significant (P＞0.05). 2.The brain MRI result's abnormal ratio of the pre-term is 30.77% and the full-term group is 16.88%, but the comparison of brain MRI results between prem-term group and full-term group indicates that the difference is not statistically significant (P＞0.05). 3.The brain MRI result's abnormal ratio of the ﹤2500g group is 37.50% and the ≥2500g group is 17.24%; but the comparison of brain MRI results of two neonates groups indicates that the difference is not statistically significant(P＞0.05). D. Comparison of abnormal MRI signal values of globus pallidus on T1WI in different groups: 1. The comparison of normal group signal values with that of mild group (p < 0.05), with that of moderate group and with that of severe group (p < 0.01) indicates that the difference is statistically significant; 2. The comparison of signal values between mild and moderate groups (p < 0.05) and between mild group and severe group (p < 0.01) indicates that the difference is statistically significant; 3. The comparison of signal values between moderate group and severe group indicates that the difference is statistically significant(p < 0.05). E. Comparison of BAEP testing results in groups: 1. There were 27(26.21%) cases in abnormalities of the BAEP results of all 103cases bilirubin patients. 2. There were 15(18.29%) cases in abnormalities of the BAEP result of the 82 cases normal brain MRL , 2(40%) cases in abnormalities of the BAEP result of the 5 cases abnormal MRI in mild bilirubin group, 4（50%） cases in abnormalities of the BAEP result of the 8 cases abnormal MRI in moderate bilirubin group and 6（75%）cases in abnormalities of the BAEP result of the 8 cases abnormal brain MRI in severe bilirubin group. 3. After one month review of the BAEP result, there was 0（0.00%） abnormal case in the normal MRI and the mild group; there were 1（20%） abnormal case in the moderate group and 2（25%） cases in the severe group. Conclusion: At low level of bilirubin, central nervous system damage may also occur and can be detected as abnormality by MRI and BAEP. Meanwhile, MRI and BAEP can also provide early abnormal information for the judgment of central nervous system damage of the children with NHB who have no acute bilirubin encephalopathy (ABE) clinical features, and provide clues for early treatment and early intervention.

scholarly journals Analysis on the MRI and BAEP  Results of Neonatal Brain with Different Levels of Bilirubin

2020 ◽  
Author(s):  
Lu Zhongxing ◽  
Shouling Ding ◽  
Fen Wang ◽  
Haitao Lv
Keyword(s):  
Central Nervous System ◽  
Brain Mri ◽  
Full Term ◽  
Normal Brain ◽  
Central Nervous System Damage ◽  
Severe Group ◽  
The Difference ◽  
The Brain ◽  
Abnormal Ratio ◽  
Abnormal Brain

Abstract Background：To explore whether there is abnormality of neonatal brains’ MRI and BAEP with different bilirubin levels, and to provide an objective basis for early diagnosis on the bilirubin induced subclinical damage on brains.Methods: To prospective study: analyze the clinical data of 103 neonatal patients, who had been hospitalized in Neonatology Department of Taicang First People’s Hospital from March 2013 to September 2015, to conduct routine brain MRI examination , BAEP testing and to analyze BAEP and MRI image results of the neonatal patients, who were divided into three groups based on the levels of total serum bilirubin concentration (TSB), 16 cases in mild group (TSB:0.0~229.0μmol/L), 49 cases in moderate group (TSB: 229.0~342.0μmol/L) and 38 cases in severe group (TSB≥342.0μmol/L); Results: We found as follows: A. Comparison of the bilirubin value of the different group : 1. The bilirubin value of the mild group is 171.99±33.50 μmol/L, the moderate group is293.98±32.09 μmol/L, and the severe group is 375.59±34.25 μmol /L . And the comparison of bilirubin values of the three groups of neonates (P＜0.01) indicates the difference is statistically significant (P＜0.01). 2. The bilirubin value of the pre-term group is 289.70±85.38μmol/Land the full-term group is 310.36±72.32 μmol/L, but the comparison of the bilirubin values between pre-term group and full-term group indicates that the difference is not statistically significant (P＞0.05).3. The bilirubin value of the normal brain MRI group(82) is 305.55±74.54 μmol/L and the abnormal brain MRI group is 303.56±83.04μmol/L; the comparison of bilirubin values between the two groups indicates that the difference is not statistically significant(P＞0.05). B. The weight value of the ﹤2500g group is 2.04±0.21 and the ≥2500ggroup is 3.39±0.46; the weight comparison of the two groups indicates that the difference is statistically significant (P＜0.01). C. Comparison of the abnormal MRI of the different groups: 1.The brain MRI result's abnormal ratio of the mild group is 31.25%, the moderate group is 16.33% and the severe group is 21.05%, but the comparison of brain MRI results of the three neonates groups indicates that the difference is not statistically significant (P＞0.05). 2.The brain MRI result's abnormal ratio of the pre-term is 30.77% and the full-term group is 16.88%, but the comparison of brain MRI results between prem-term group and full-term group indicates that the difference is not statistically significant (P＞0.05). 3.The brain MRI result's abnormal ratio of the ﹤2500g group is 37.50% and the ≥2500g group is 17.24%; but the comparison of brain MRI results of two neonates groups indicates that the difference is not statistically significant(P＞0.05). D. Comparison of abnormal MRI signal values of globus pallidus on T1WI in different groups: 1. The comparison of normal group signal values with that of mild group (p < 0.05), with that of moderate group and with that of severe group (p < 0.01) indicates that the difference is statistically significant; 2. The comparison of signal values between mild and moderate groups (p < 0.05) and between mild group and severe group (p < 0.01) indicates that the difference is statistically significant; 3. The comparison of signal values between moderate group and severe group indicates that the difference is statistically significant(p < 0.05). E. Comparison of BAEP testing results in groups: 1. There were 27(26.21%) cases in abnormalities of the BAEP results of all 103cases bilirubin patients. 2. There were 15(18.29%) cases in abnormalities of the BAEP result of the 82 cases normal brain MRL , 2(40%) cases in abnormalities of the BAEP result of the 5 cases abnormal MRI in mild bilirubin group, 4（50%） cases in abnormalities of the BAEP result of the 8 cases abnormal MRI in moderate bilirubin group and 6（75%）cases in abnormalities of the BAEP result of the 8 cases abnormal brain MRI in severe bilirubin group. 3. After one month review of the BAEP result, there was 0（0.00%） abnormal case in the normal MRI and the mild group; there were 1（20%） abnormal case in the moderate group and 2（25%） cases in the severe group. Conclusion: At low level of bilirubin, central nervous system damage may also occur and can be detected as abnormality by MRI and BAEP. Meanwhile, MRI and BAEP can also provide early abnormal information for the judgment of central nervous system damage of the children with NHB who have no acute bilirubin encephalopathy (ABE) clinical features, and provide clues for early treatment and early intervention.

scholarly journals Neurobrucellosis mimicking primary vasculitis of the central nervous system: we should perform a metagenomic analysis of the cerebrospinal fluid prior to brain biopsy

2021 ◽  
Author(s):  
Marina Barrionuevo Mathias ◽  
Fernando Gatti ◽  
Gustavo Bruniera ◽  
Vitor Paes ◽  
Gisele Sampaio Silva ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Psychiatric Symptoms ◽  
Brain Mri ◽  
Genetic Material ◽  
Clinical Manifestations ◽  
Brain Biopsy ◽  
Metagenomic Analysis ◽  
Normal Brain ◽  
The Central Nervous System

Context Primary angiitis of the central nervous system (PACNS) is characterized by the inflammation of small and medium CNS arteries; the clinical manifestations include headache, cognitive impairment and focal neurological deficits. The gold standard test for diagnosis is brain biopsy. Neurobrucellosis is an infection associated with cattle farming, which leads to neurological and psychiatric symptoms. We report a case of neurobrucellosis mimicking PACNS. Case report Male, 32 years old, with fever, headache, dizziness and cognitive impairments for 30 days. History of stroke 2 years before, with mild sequelae right hemiparesis; investigation showed suspected intracranial dissection. On physical examination, he had apathy, preserved strength, reduced reflexes with plantar flexor responses. General laboratory tests, autoantibodies and serology were normal. Brain MRI showed deep left nucleocapsular gliosis and cerebral angiography revealed stenosis of the ICA and MCA. CSF showed 42 cells/ mm³, glucose 46 mg/dL, protein 82 mg/dL. Blood PCR was negative for Brucella. Immunophenotyping of the CSF and PET-CT excluded neoplasia. Brain biopsy was inconclusive for vasculitis. Metagenomic analysis of the CSF detected 78% of Brucella genetic material. Serum agglutination test was 1:40 for brucella. Conclusions PACNS is diagnosed by exclusion. The patient filled criteria for possible PACNS, image compatible with vascular stenosis, but inconclusive brain biopsy. Brucellosis is an endemic disease in underdeveloped countries that can present as CNS vasculitis. Metagenomic analysis allows the detection of different pathogens using a single method. The case illustrates the use of metagenomics in rare diseases characterized by vasculitis, with change in clinical outcomes and conduct.

scholarly journals Mycobacterium of tuberculosis with defective cell wall, determined in the brain of the biological model with spongional changes

2019 ◽  
Vol 23 (1) ◽  
pp. 12-19
Author(s):  
O.P. Lysenko ◽  
V.V. Vlasenko ◽  
H.K. Palii ◽  
I.H. Vlasenko ◽  
O.A. Nazarchuk
Keyword(s):  
Central Nervous System ◽  
Cell Wall ◽  
Nervous System ◽  
Mycobacterium Tuberculosis ◽  
Brain Damage ◽  
Molecular Genetic Study ◽  
Central Nervous System Damage ◽  
Infectious Dose ◽  
Microbiological Methods ◽  
The Brain

Mycobacterium tuberculosis is endowed with resistance to adverse factors and rapidly forms drug resistance. The aim is to study of the connection of tuberculosis infection and the development of brain damage with signs of spongymorphic changes. There were investigated canned 10% formalin fragments of the brain of 2 goats with signs of central nervous system damage by histological, microbiological methods. For microbiological examination, 3–5 years brain samples after were sowed on the MycСel DW nutrient medium with a growth stimulator. The molecular genetic study was performed using a polymerase chain reaction on a Molecular Imager GelDoc TM XR + (BioRad) device. The polypeptide profile was studied electrophoretically. In the goats, who died with symptoms of central nervous system damage, spongiform changes were detected in the brain. In the brain samples, DNA and mycobacterium tuberculosis with a defective cell wall have been detected, accumulation of mycobacterial antigens has been observed in the cells of the brain and in the intercellular space. Despite the fact that brain samples were in 10% formalin for 1 month, 3 years and 5 years, in all cases mycobacterium tuberculosis with a defective cell wall was isolated. Their viability was comparable to the infectiousness of prions. The isolation of mycobacterium tuberculosis with a defective cell wall from the brain did not differ in morphology and polypeptide composition from isolates from tuberculin, FLK-BLV, lymph nodes of cows, patients with tuberculosis. This indicates a high probability that mycobacterial infection, depending on the infectious dose, the characteristics of the strain and host genome, as well as the state of the immune system, can cause oncogenic action, cause active tuberculosis, brain damage, and the cardiovascular system.

Evaluation of brain iron content in Egyptian Patients with Sickle cell disease and its impact on Neurocognitive functions

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Mohsen Saleh Elalfy ◽  
Fatma Soliman Elsayed Ebeid ◽  
Mohammed Ahmed Samir Ibrahim ◽  
Hanaa Midhat Abdel Gader Hussein
Keyword(s):  
Iron Overload ◽  
Brain Mri ◽  
Healthy Controls ◽  
Brain Iron ◽  
Cell Disease ◽  
Neurocognitive Functions ◽  
The Difference ◽  
Mri Study ◽  
The Brain ◽  
Age And Sex

Abstract Background Sickle cell disease (SCD) is considered the most prevalent monogenic diseases worldwide. Iron overload is one of the major complications in those patients, especially who in need for frequent transfusion, affecting many organs including the brain. MRI is a valuable, reliable and non-invasive method for quantifying iron concentration in many organs as the liver and heart and it is now used for monitoring of the chelation therapy in SCD patients. Several studies began reporting differences in global cognitive function, particularly for children with SCD, they are at a high risk for neurocognitive impairment they often scored lower on general IQ measures than healthy children which is due to iron overload in brain tissue from the chronic transfusions which can lead to strokes and may be a silent stroke. Objective The current study assessed brain iron content (using R2* values) in the caudate and thalamic regions through quantitative brain MRI study in SCD patients in comparison to age and sex-matched healthy controls. Methods A case-control study recruited 32 patients with SCD and 11 healthy controls. Brain MRI study using multi-echo fast gradient echo sequence was done for all the patients and controls. Brain R2* values of both caudate and thalamic regions (right and left sides) were calculated for only 15 SCD patients and the 11 controls. All recruited SCD patients and controls were examined for the neurocognitive functions by these tests: Wechsler IV Intelligence Scale for Adult shows (Verbal, Perceptual, Memory, Processing and Total IQ), their all normal values between 90 – 110. Benton Visual Retention Test have cut of point at (&gt; 4 or = 4). Those values are the same for the difference between the obtained correct and the expected correct, and the difference between the obtained error and expected error. Results The fifteen patient with SCD who underwent brain MRI were age and sex matched with the eleven healthy control (15 SCD patients: mean-age: 16.93 ± 3.41 years, 40.6% females and 11healthy controls: mean age: 18.73 ± 4.84 years, 54.5% females) were enrolled in the study. As regards the brain MRI, there was no statistically significant differences between SCD and control group in all regions of interests (p &gt; 0.05). Our study showed that 72.7% of our SCD patients had under threshold TIQ scores. Also18% of the patients showed moderate anxiety, 9% mild anxiety and 9% showed severe anxiety. Conclusion The results of our study showed that even in cases of iron overload which affects vital organs as the liver, cardiac and brain iron overload don't occur.

scholarly journals Cholesterol: Its Regulation and Role in Central Nervous System Disorders

Cholesterol ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
Matthias Orth ◽  
Stefano Bellosta
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Metabolic Pathways ◽  
Cholesterol Metabolism ◽  
Major Constituent ◽  
Normal Brain ◽  
Lipoprotein Receptors ◽  
Brain Cholesterol ◽  
Brain Functions ◽  
The Brain

Cholesterol is a major constituent of the human brain, and the brain is the most cholesterol-rich organ. Numerous lipoprotein receptors and apolipoproteins are expressed in the brain. Cholesterol is tightly regulated between the major brain cells and is essential for normal brain development. The metabolism of brain cholesterol differs markedly from that of other tissues. Brain cholesterol is primarily derived by de novo synthesis and the blood brain barrier prevents the uptake of lipoprotein cholesterol from the circulation. Defects in cholesterol metabolism lead to structural and functional central nervous system diseases such as Smith-Lemli-Opitz syndrome, Niemann-Pick type C disease, and Alzheimer’s disease. These diseases affect different metabolic pathways (cholesterol biosynthesis, lipid transport and lipoprotein assembly, apolipoproteins, lipoprotein receptors, and signaling molecules). We review the metabolic pathways of cholesterol in the CNS and its cell-specific and microdomain-specific interaction with other pathways such as the amyloid precursor protein and discuss potential treatment strategies as well as the effects of the widespread use of LDL cholesterol-lowering drugs on brain functions.

scholarly journals Diagnosing Ring-Enhancing Lesions in the Brain of a Patient With AIDS Without Brain Biopsy: A Case of Central Nervous System Histoplasmoma

2017 ◽  
Vol 8 (2) ◽  
pp. 86-91 ◽  
Author(s):  
Rachel Beekman ◽  
Jessica M. Hu ◽  
Steven I. Aronin ◽  
Maricar F. Malinis
Keyword(s):  
Central Nervous System ◽  
Cerebrospinal Fluid ◽  
Nervous System ◽  
Histoplasma Capsulatum ◽  
Brain Mri ◽  
Central Nervous System Involvement ◽  
Brain Biopsy ◽  
Empiric Therapy ◽  
Fluid Analysis ◽  
The Brain

We report a case of a Puerto Rican male with advanced AIDS who presented with multiple falls and pancytopenia. Magnetic resonance imaging (MRI) of the brain, as initial workup, revealed 2 ring-enhancing brain lesions. Initial cerebrospinal fluid analysis revealed minimal cells, mildly elevated protein, and no organism seen on gram stain. Due to prohibitive thrombocytopenia, brain biopsy was deferred. He had neither clinical nor radiographic improvement despite empiric therapy for both toxoplasmosis and bacterial abscesses. Indicated by pancytopenia, bone marrow (BM) aspiration was performed. Culture of BM aspirate grew Histoplasma capsulatum. Urine histoplasma antigen was markedly elevated. He was treated with liposomal amphotericin B (LamB) for progressive disseminated histoplasmosis with probable central nervous system involvement. Cerebrospinal fluid histoplasma antigen obtained after 2 months of LamB was detected. After prolonged course of LamB, he took itraconazole. Brain MRI at 7-month follow-up revealed significant improvement from baseline study.

Alveolar rhabdomyosarcoma metastatic to the brain

2021 ◽  
Vol 14 (3) ◽  
pp. e240516
Author(s):  
Freddie Rodriguez-Beato ◽  
Orlando De Jesus ◽  
Javier Sanchez-Ortiz ◽  
Patricia Delgado ◽  
Juan L Perez-Berenguer ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Brain Metastases ◽  
Stereotactic Biopsy ◽  
Brain Mri ◽  
Initial Diagnosis ◽  
Alveolar Rhabdomyosarcoma ◽  
Acute Neurological Deterioration ◽  
Cingulate Gyri ◽  
The Brain

Alveolar rhabdomyosarcoma (ARMS) has a predilection for the peripheral extremities, and brain metastases are rare, with only a few cases reported after the initial diagnosis. We present a 22-year-old male patient with a right orbital-ethmoidal ARMS who presented with a recurrence to the brain 1 year after the initial diagnosis. He was referred to our institution due to acute neurological deterioration. A brain MRI was performed, showing an enhancing bilateral parafalcine lesion centred about the bilateral cingulate gyri with extension into the corpus callosum. The patient was taken to the operating room for a stereotactic biopsy under general anaesthesia, which was compatible with metastatic ARMS. Our case is exceedingly rare, considering the initial diagnosis of an orbital/ethmoidal ARMS, its subsequent metastasis to the brain and its clinical sequelae after a biopsy. Prognosis after cerebral metastatic ARMS is dismal, with most patients expiring due to central nervous system metastatic disease.

Microglia and the Brain: Complementary Partners in Development and Disease

2018 ◽  
Vol 34 (1) ◽  
pp. 523-544 ◽  
Author(s):  
Timothy R. Hammond ◽  
Daisy Robinton ◽  
Beth Stevens
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Neurodegenerative Disease ◽  
Immune Cells ◽  
New Technologies ◽  
Normal Brain ◽  
The Central Nervous System ◽  
Synaptic Maturation ◽  
The Brain ◽  
Normal Brain Development

An explosion of findings driven by powerful new technologies has expanded our understanding of microglia, the resident immune cells of the central nervous system (CNS). This wave of discoveries has fueled a growing interest in the roles that these cells play in the development of the CNS and in the neuropathology of a diverse array of disorders. In this review, we discuss the crucial roles that microglia play in shaping the brain—from their influence on neurons and glia within the developing CNS to their roles in synaptic maturation and brain wiring—as well as some of the obstacles to overcome when assessing their contributions to normal brain development. Furthermore, we examine how normal developmental functions of microglia are perturbed or remerge in neurodevelopmental and neurodegenerative disease.

scholarly journals Physiology of Microglia

2011 ◽  
Vol 91 (2) ◽  
pp. 461-553 ◽  
Author(s):  
Helmut Kettenmann ◽  
Uwe-Karsten Hanisch ◽  
Mami Noda ◽  
Alexei Verkhratsky
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Immune Cell ◽  
Brain Parenchyma ◽  
Microglial Cells ◽  
Activation Process ◽  
Normal Brain ◽  
The Central Nervous System ◽  
Cellular Compartments ◽  
The Brain

Microglial cells are the resident macrophages in the central nervous system. These cells of mesodermal/mesenchymal origin migrate into all regions of the central nervous system, disseminate through the brain parenchyma, and acquire a specific ramified morphological phenotype termed “resting microglia.” Recent studies indicate that even in the normal brain, microglia have highly motile processes by which they scan their territorial domains. By a large number of signaling pathways they can communicate with macroglial cells and neurons and with cells of the immune system. Likewise, microglial cells express receptors classically described for brain-specific communication such as neurotransmitter receptors and those first discovered as immune cell-specific such as for cytokines. Microglial cells are considered the most susceptible sensors of brain pathology. Upon any detection of signs for brain lesions or nervous system dysfunction, microglial cells undergo a complex, multistage activation process that converts them into the “activated microglial cell.” This cell form has the capacity to release a large number of substances that can act detrimental or beneficial for the surrounding cells. Activated microglial cells can migrate to the site of injury, proliferate, and phagocytose cells and cellular compartments.

Design and Development of 3D Brain MRI System Using Deep Neural Networks

2021 ◽  
Vol 11 (10) ◽  
pp. 2653-2659
Author(s):  
M. Vadivel ◽  
R. Ganesan
Keyword(s):  
Brain Tumor ◽  
Deep Neural Networks ◽  
Brain Mri ◽  
Research Work ◽  
Specific Region ◽  
Classification Algorithms ◽  
Normal Brain ◽  
Proposed Model ◽  
Abnormal Cells ◽  
The Brain

A Brain tumor is otherwise known as intracranial tumor. It is a formation of abnormal cells within the brain. A tumor cells grows continuously in the brain and destroys the cells in that specific region causing brain damage. The main problem in the tumor detection is that some normal brain cells tend to behave as tumor cell which leads to misclassification or unwanted brain surgery. A great challenge for the researchers is to identify the region and appropriate tumor mass. Due to this main reason, automated classifications are acquired for the early detection of brain tumor. In this research work, two standard datasets were used to test the developed classification algorithms. In this study, four different deep learning models were utilized to identify the accurate fit model to classify the brain tumor. From the results, it was observed that googlenet has achieved maximum mean classification accuracy of 98.2%, sensitivity 98.67% and specificity 96.17%. Our proposed model can be used to classify the brain tumor more accurately and effectively.

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