Angelina K. Kancheva- Master of Science
- PhD Student at University of Glasgow
Angelina K. Kancheva
- Master of Science
- PhD Student at University of Glasgow
PhD Student, Medical Research Council-funded Doctoral Training Program in Precision Medicine, University of Glasgow
About
14
Publications
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Citations
Introduction
I am a diligent and dedicated PhD student on the joint Precision Medicine Doctoral Training Program hosted by the University of Edinburgh and the University of Glasgow. My project, based at the University of Glasgow, aims to describe the complete clinical phenotype of cerebral small vessel disease using large-scale neuroimaging and clinical data from UK Biobank and related cohorts.
Skills and Expertise
Current institution
Additional affiliations
June 2019 - May 2020
Position
- Research Assistant
Description
- As part of the COMPAR-EU project, I identified, compared, and ranked the most (cost-)effective self-management interventions (SMIs) for adults in Europe with the four high-priority chronic diseases: type 2 diabetes, obesity, chronic obstructive pulmonary disease, and heart failure.
January 2019 - November 2019
Position
- Research Intern
Description
- I investigated the association between infarct location and post-stroke cognitive impairment in a cohort of 762 patients with acute ischemic stroke. Learned skills include: (1) Identified and delineated acute infarcts on magnetic resonance imaging (MRI) scans; (2) Performed lesion-symptom mapping analyses (voxel- and region of interest-based) using image analysis software (NiiStat, SPM, NPM, MRIcron); (3) Improved my brain anatomy and statistical knowledge and skills.
Education
September 2018 - November 2021
Field of study
- Research Master Neuroscience & Cognition, Experimental and Clinical Neuroscience track
September 2011 - June 2017
Publications
Publications (14)
Introduction
Chronic pain is associated with single cardiometabolic diseases (CMDs). Less is known about the association of chronic pain with the co-occurrence of multiple CMDs, known as cardiometabolic multimorbidity (CMM).
Objectives
This study aims to examine the association between chronic pain and incidence of CMM and if it existed, to what e...
Background: It is unclear to what extent genetic risk offsets the protective effects of better premorbid cognitive health, on risk of Alzheimer’s disease (AD). To address this, we tested for associations between measures of premorbid cognitive health, apolipoprotein (APOE) e4 ‘risk’ genotype, and their interaction, with risk of incident AD and age...
Background and Objectives: Cerebral small vessel disease (cSVD) is the most common pathology underlying vascular cognitive impairment. Although other clinical features of cSVD are increasingly recognized, it is likely that certain symptoms are being overlooked. A comprehensive description of cSVD associations with clinical phenotypes at scale is la...
Background and objectives:
Cerebral small vessel disease (cSVD) causes lacunar and hemorrhagic stroke and is an important contributor to vascular cognitive impairment. Other potential physical and psychological consequences of cSVD have been described across various body systems. Descriptions of cSVD are available in journals specific to those ind...
Vascular cognitive impairment is common after stroke, in memory clinics, medicine for the elderly services, and undiagnosed in the community. Vascular disease is said to be the second most common cause of dementia after Alzheimer disease, yet vascular dysfunction is now known to predate cognitive decline in Alzheimer disease, and most dementias at...
Self-management interventions (SMIs) may enhance heart failure (HF) outcomes and address challenges associated with disease management. This study aims to review randomized evidence and identify knowledge gaps in SMIs for adult HF patients. Within the COMPAR-EU project, from 2010 to 2018, we conducted searches in the databases MEDLINE, CINAHL, Emba...
Background and Objectives: Cerebral small vessel disease (cSVD) causes lacunar and hemorrhagic stroke and is an important contributor to vascular cognitive impairment. Other potential physical and psychological consequences of cSVD have been described across various body systems. Descriptions of
cSVD are available in journals specific to those indi...
Objectives:
To conduct an evidence map on self-management interventions and patient-relevant outcomes for adults living with overweight/obesity.
Methods:
Following Arksey and O'Malley methodology, we searched in five electronical databases including randomized controlled trials (RCTs) on SMIs for overweight/obesity. We used the terms "self-manag...
Self-management interventions (SMIs) may improve outcomes in Chronic Obstructive Pulmonary Disease (COPD). However, accurate comparisons of their relative effectiveness are challenging, partly due to a lack of clarity and detail regarding the intervention content being evaluated. This study systematically describes intervention components and chara...
Secondary white matter degeneration is a common occurrence after ischemic stroke, as identified by Diffusion Tensor Imaging (DTI). However, despite recent advances, the time course of the process is not completely understood. The primary aim of this study was to assess secondary degeneration using an approach whereby we create a patient-specific mo...
Secondary white matter degeneration is a common occurrence after ischemic stroke, as identified by Diffusion Tensor Imaging (DTI). However, despite recent advances, the time course of the process is not completely understood. The primary aim of this study was to assess secondary degeneration using an approach whereby we create a patient-specific mo...
Background:
Imaging markers of intracranial aneurysm (IA) development are not well established.
Purpose:
To provide an overview of imaging markers of IA development.
Methods:
A systematic search of PubMed and Embase up to December 1st 2020 using predefined criteria. Thirty-six studies met our inclusion criteria. We performed a quantitative sum...
Background
Post-stroke cognitive impairment can occur after damage to various brain regions, and cognitive deficits depend on infarct location. The Mini-Mental State Examination (MMSE) is still widely used to assess post-stroke cognition, but it has been criticized for capturing only certain cognitive deficits. Along these lines, it might be hypoth...
Questions
Questions (2)
I am running a logistic regression analysis exploring the association between Alzheimer's Disease (AD) status (outcome) and plasma biomarkers of AD (predictors), namely, Ab40, Ab42, the ratio, as well as p-tau217 and p-tau181.
However, I have all the plasma AB measured in pg/mL, p-tau217 in u/mL, and p-tau181 in ng/L.
How can I convert these units to make them comparable?
I know there is a 1-to-1 correspondence between pg/mL and ng/L, but do not necessarily know what to do with u/mL.
Many thanks in advance!
Hello all,
I have a question about normalization in SPM. I'm pre-processing individual subject data where there are a few sessions per subject, which I have included in a single pre-processing batch.
I'm unsure whether DARTEL normalization is suitable for normalizing individual functional data and what pipeline to follow. To give more details, does it make sense to do motion correction and coregistration first and then DARTEL-normalize the coregistered images per subject? Or does it only make sense to use DARTEL on group data?
Many thanks in advance.
Best,
Angelina
