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Condition: Parkinson's Disease
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Total 6 results found since Jan 2013.

Cancers, Vol. 11, Pages 111: A Review on a Deep Learning Perspective in Brain Cancer Classification
uca Saba Jasjit S. Suri A World Health Organization (WHO) Feb 2018 report has recently shown that mortality rate due to brain or central nervous system (CNS) cancer is the highest in the Asian continent. It is of critical importance that cancer be detected earlier so that many of these lives can be saved. Cancer grading is an important aspect for targeted therapy. As cancer diagnosis is highly invasive, time consuming and expensive, there is an immediate requirement to develop a non-invasive, cost-effective and efficient tools for brain cancer characterization and grade estimation. Brain scans using magnetic resonanc...
Source: Cancers - January 18, 2019 Category: Cancer & Oncology Authors: Gopal S. Tandel Mainak Biswas Omprakash G. Kakde Ashish Tiwari Harman S. Suri Monica Turk John R. Laird Christopher K. Kwaku A. Annabel A. Ankrah N. N. Khanna B. K. Madhusudhan Luca Saba Jasjit S. Suri Tags: Review Source Type: research

Collectivism Is Associated With Greater Neurocognitive Fluency in Older Adults
This study aimed to evaluate the impact of self-construal on neurocognitive functions in older adults. A total of 86 community-dwelling older adults 60 years and older were assessed with three common self-report measures of self-construal along individualism and collectivism (IC). A cognitive battery was administered to assess verbal and non-verbal fluency abilities. Latent profile analysis (LPA) was used to categorize individuals according to IC, and one-way analyses of covariance (ANCOVA), including relevant covariates (e.g., ethnicity, gender, linguistic abilities), were used to compare neurocognitive functions between ...
Source: Frontiers in Human Neuroscience - April 10, 2019 Category: Neuroscience Source Type: research

Light-Induced Pupillary Responses in Alzheimer's Disease
Light-Induced Pupillary Responses in Alzheimer's Disease Pratik S. Chougule1, Raymond P. Najjar1,2, Maxwell T. Finkelstein1, Nagaendran Kandiah3,4 and Dan Milea1,2,5* 1Department of Visual Neurosciences, Singapore Eye Research Institute, Singapore, Singapore 2The Ophthalmology & Visual Sciences ACP, Duke-National University of Singapore (NUS) Medical School, Singapore, Singapore 3Department of Neurology, National Neuroscience Institute, Singapore, Singapore 4Duke-National University of Singapore (NUS), Singapore, Singapore 5Singapore National Eye Centre, Singapore, Singapore The impact of Alzhe...
Source: Frontiers in Neurology - April 11, 2019 Category: Neurology Source Type: research

Beta Amyloid Deposition Is Not Associated With Cognitive Impairment in Parkinson's Disease
In this study, we used a well-validated visual assessment to clinically rate scans as being amyloid positive or negative (38). As there is not an accepted threshold based on standardized centiloid reference regions, we defined an amyloid positivity centiloid cut-off threshold in our sample. Our cut-off (CL = 31.3, SUVR = 1.21) corresponds well to the estimated value proposed by Rowe and colleagues (34) in the context of AD (CL = 25–30), however our estimated threshold may be biased by the low number of Aβ positive patients. Our results suggest a lower prevalence of amyloid-positive PDD individuals than in ...
Source: Frontiers in Neurology - April 23, 2019 Category: Neurology 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