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Total 174 results found since Jan 2013.

Na ïve bayes classifier assisted automated detection of cerebral microbleeds in SWI brain images
Biochem Cell Biol. 2023 Aug 28. doi: 10.1139/bcb-2023-0156. Online ahead of print.ABSTRACTCerebral Microbleeds (CMBs) in the brain are the essential indicators of critical brain disorders such as dementia and ischemic stroke. Generally, CMBs are detected manually by experts which is an exhaustive task with limited productivity. Since, CMBs have complex morphological nature, so manual detection is prone to errors. This paper presents a machine learning-based automated Cerebral Microbleeds detection technique in the brain SWI scans based on statistical feature extraction and classification. The proposed method consists of th...
Source: Biochemistry and Cell Biology - August 28, 2023 Category: Biochemistry Authors: Tayyab Ateeq Zaid Bin Faheem Mohamed Ghoneimy Dr Jehad Ali PhD Computer Engineering Yang Li Abdullah Baz Source Type: research

Scientists Are Just Beginning to Understand COVID-19 ’ s Effect On the Brain
Early in the COVID-19 pandemic, doctors started to notice something striking. For what was originally described as a respiratory virus, SARS-CoV-2 seemed to have a strong effect on the brain, causing everything from loss of taste and smell and brain fog to, in serious cases, stroke. NYU Langone Health, a New York city research hospital, started collating those anecdotes in hopes of better understanding how the virus affects the brain and nervous system. Years later, the project has morphed from focusing solely on acute symptoms to also tracking the long-term neurologic issues that some people with Long COVID experience, sa...
Source: TIME: Health - July 17, 2023 Category: Consumer Health News Authors: Jamie Ducharme Tags: Uncategorized COVID-19 healthscienceclimate Source Type: news

Stroke and molecular imaging: a focus on FDG-PET
Am J Nucl Med Mol Imaging. 2023 Apr 25;13(2):51-63. eCollection 2023.ABSTRACTStroke is the leading cause of disability worldwide, the second most common cause of dementia and the third leading cause of death. Though the etiology of stroke has been explored extensively, there remains open questions in the scientific and clinical study of stroke. Traditional imaging techniques, such as magnetic resonance imaging and computed tomography, have been applied extensively and remain mainstays in clinical practice. Nevertheless, positron emission tomography has proven to be a powerful molecular imaging tool in exploring the scienti...
Source: Molecular Medicine - May 22, 2023 Category: Molecular Biology Authors: Cyrus Ayubcha Aamir Amanullah Krishna H Patel Eric Teichner Saket Gokhale Ulysses Marquez-Valenzuela Thomas J Werner Abass Alavi Source Type: research

Subclinical Vascular Composites Predict Clinical Cardiovascular Disease, Stroke, and Dementia: The Multi-Ethnic Study of Atherosclerosis (MESA)
CONCLUSIONS: Subclinical vascular composites of arteriosclerosis and atherosclerosis may be useful biomarkers to inform the vascular pathways contributing to events of CVD, CHD, stroke, and dementia.PMID:37205504 | PMC:PMC10187443 | DOI:10.1101/2023.05.01.23289364
Source: Atherosclerosis - May 19, 2023 Category: Cardiology Authors: Timothy M Hughes Jordan Tanley Haiying Chen Christopher L Schaich Joseph Yeboah Mark A Espeland Joao A C Lima Bharath Ambale-Venkatesh Erin D Michos Jingzhong Ding Kathleen Hayden Ramon Casanova Suzanne Craft Stephen R Rapp Jos é A Luchsinger Annette L F Source Type: research

The Danish landscape of providing support for caregivers of people with potentially life-threatening disease: A cross-sectional study among representatives of health services in Danish municipalities and hospitals
CONCLUSIONS: Disparities and significant differences across diagnoses exist in the identification of caregivers and the provision of support initiatives. Support initiatives involving caregivers primarily targeted patients. Future studies should investigate how caregivers' needs can be met across different diagnoses and healthcare settings and investigate potential changes in caregivers' needs during disease trajectories. In clinical practice, identification of vulnerable caregivers should be a major focus, and disease-specific clinical guidelines may be required to ensure sufficient support for caregivers.PMID:37026179 | ...
Source: Scandinavian Journal of Public Health - April 7, 2023 Category: International Medicine & Public Health Authors: Karin B Dieperink Jens-Jakob K M øller Tina B Mikkelsen Nina Konstantin Nissen Karen La Cour Nina Rottmann Source Type: research

Association of abnormal p ‐wave parameters with brain mri morphology: the atherosclerosis risk in communities neurocognitive study (ARIC‐NCS)
Conclusion: In this exploratory analysis of a US community-based cohort, ECG surrogates of atrial myopathy are associated with higher prevalence of brain infarcts and microhemorrhage, suggesting subclinical vascular brain injury as a possible mechanism underlying the association of atrial myopathy with dementia.This article is protected by copyright. All rights reserved
Source: Pacing and Clinical Electrophysiology : PACE - March 17, 2023 Category: Cardiology Authors: Jorge L. Reyes, Faye L. Norby, Yuekai Ji, Wendy Wang, Romil Parikh, Michael J. Zhang, Niki C. Oldenburg, Pamela L. Lutsey, Clifford R. Jack, Michelle Johansen, Rebecca F. Gottesman, Josef Coresh, Thomas Mosley, Elsayed Z. Soliman, Alvaro Alo Tags: ORIGINAL ARTICLE Source Type: research

Association of abnormal p-wave parameters with brain mri morphology: the atherosclerosis risk in communities neurocognitive study (ARIC-NCS)
CONCLUSION: In this exploratory analysis of a US community-based cohort, ECG surrogates of atrial myopathy are associated with higher prevalence of brain infarcts and microhemorrhage, suggesting subclinical vascular brain injury as a possible mechanism underlying the association of atrial myopathy with dementia. This article is protected by copyright. All rights reserved.PMID:36924350 | DOI:10.1111/pace.14687
Source: Atherosclerosis - March 16, 2023 Category: Cardiology Authors: Jorge L Reyes Faye L Norby Yuekai Ji Wendy Wang Romil Parikh Michael J Zhang Niki C Oldenburg Pamela L Lutsey Clifford R Jack Michelle Johansen Rebecca F Gottesman Josef Coresh Thomas Mosley Elsayed Z Soliman Alvaro Alonso Lin Yee Chen Source Type: research

A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
ConclusionThis review's objective is to increase scholars' interest in this difficult field and familiarize them with current advancements in it. To create CAD systems aimed at brain tumor identification using MR images, digital image processing approaches, such as preprocessing, segmentation, and classification, are applied. The classic machine learning and deep learning approaches for brain tumor identification are deliberated in this work. This paper provides a summary of commonly used MR image datasets. For classification, various machine learning and deep learning algorithms have been used. This survey examines curren...
Source: Health and Technology - February 27, 2023 Category: Information Technology Source Type: research

Sensors, Vol. 23, Pages 1900: Multi Modal Feature Extraction for Classification of Vascular Dementia in Post-Stroke Patients Based on EEG Signal
This study used 19 EEG channels recorded from normal elderly, post-stroke with mild cognitive impairment, and post-stroke with dementia. The QEEG method used for feature extraction includes relative power, coherence, and signal complexity; the evaluation performance of normal-mild cognitive impairment-dementia classification was conducted using Support Vector Machine and K-Nearest Neighbor. The results of the classification simulation showed the highest accuracy of 96% by Gaussian SVM with a sensitivity and specificity of 95.6% and 97.9%, respectively. This study is expected to be an additional criterion in the diagnosis o...
Source: Sensors - February 8, 2023 Category: Biotechnology Authors: Sugondo Hadiyoso Hasballah Zakaria Paulus Anam Ong Tati Latifah Erawati Rajab Tags: Article Source Type: research