Kate Kuznetsova

Kate Kuznetsova


Research Interests

My main research interests are neuroimaging, cognitive ageing and the importance of brain connectivity in relation to inteligence, information processing efficiency and ageing. I am also interested in machine learning, Bayesian inference, computational cognitive neuroscience and bioinformatics in general.

Publications:
2015
  Brain white matter structure and information processing speed in healthy older age
Kuznetsova, K, Munoz-Maniega, S, Ritchie, S, Cox, S, Storkey, A, Starr, J, Wardlaw, J, Deary, I & Bastin, M 2015, 'Brain white matter structure and information processing speed in healthy older age' Brain Structure and Function, vol 21, no. 6, pp. 3323-3235. DOI: 10.1007/s00429-015-1097-5
Cognitive decline, especially the slowing of information processing speed, is associated with normal ageing. This decline may be due to brain cortico-cortical disconnection caused by age-related white matter deterioration. We present results from a large, narrow age range cohort of generally healthy, community-dwelling subjects in their seventies who also had their cognitive ability tested in youth (age 11 years). We investigate associations between older age brain white matter structure, several measures of information processing speed and childhood cognitive ability in 581 subjects. Analysis of diffusion tensor MRI data using Tract-based Spatial Statistics (TBSS) showed that all measures of information processing speed, as well as a general speed factor composed from these tests (g speed), were significantly associated with fractional anisotropy (FA) across the white matter skeleton rather than in specific tracts. Cognitive ability measured at age 11 years was not associated with older age white matter FA, except for the g speed-independent components of several individual processing speed tests. These results indicate that quicker and more efficient information processing requires global connectivity in older age, and that associations between white matter FA and information processing speed (both individual test scores and g speed), unlike some other aspects of later life brain structure, are generally not accounted for by cognitive ability measured in youth.
General Information
Organisations: Edinburgh Imaging Facilities.
Authors: Kuznetsova, Ksenia, Munoz-Maniega, Susana, Ritchie, Stuart, Cox, Simon, Storkey, Amos, Starr, John, Wardlaw, Joanna, Deary, Ian & Bastin, Mark.
Pages: 3323-3235
Publication Date: 2015
Publication Information
Category: Article
Journal: Brain Structure and Function
Volume: 21
Issue number: 6
ISSN: 1863-2653
Original Language: English
DOIs: 10.1007/s00429-015-1097-5
2013
  A Diffusion MRI resource of 80 age-varied subjects with neuropsychological and demographic measures.
Cabeen, RP, Andreyeva, K, Bastin, ME & Laidlaw, DH 2013, 'A Diffusion MRI resource of 80 age-varied subjects with neuropsychological and demographic measures.' ISMRM 21st Annual Meeting & Exhibition, Salt Lake City, Utah, United States, 20/04/13 - 26/04/13, .
The primary purpose of this work is to provide a resource of high angular resolution diffusion MRI datasets of 80 normal volunteers aged 25-64 together with neuropsychological testing data spanning general cognitive ability, memory, and information processing speed.
To support the value of these data, we demonstrate statistical correlations between age and tract-based metrics calculated automatically from the data.
The metrics are a function of fiber count, length, diffusion rate, and diffusion anisotropy; the statistical relationship to age was modeled with
linear regression.
General Information
Organisations: Edinburgh Imaging Facilities.
Authors: Cabeen, R. P., Andreyeva, Ksenia, Bastin, M. E. & Laidlaw, D. H..
Publication Date: 2013
Publication Information
Category: Abstract
Original Language: English

Projects:
Voxel-based and whole brain structural connectivity analyses of cognitive ageing in the Lothian Birth Cohort 1936 (PhD)