2019 PDNC Kamen Tsvetanov

Dr Kamen Tsvetanov

2019 Post-doctoral Non-clinical Fellowship

Multifactorial Integrative Network Inference of NeurodeGeneration (MINING)

Neurodegeneration impacts brain function years before symptoms, presenting both a challenge and an opportunity to understand, treat and ultimately prevent dementia. The challenge lies in understanding why certain individuals can remain functionally resilient to advancing neuropathology and atrophy, and what determines their eventual conversion to a symptomatic state. Conversely, the opportunity lies in identifying the drivers of disease progression at the stage when intervention would be most desirable and effective.

This endeavour requires identifying the factors that moderate large-scale neural dynamics, while considering genetics, lifestyle, and overall health, and their consequences for cognitive function. The primary focus of the work was on providing an understanding of latent disease and conversion, through the integration of multimodal quantitative measures of brain structure, function and connectomics as determinants of cognition. By leveraging data from cohorts with known genetic risk and employing multivariate imaging analysis, I studied the critical role of neural dynamics in supporting cognitive ability in the presence of progressive yet presymptomatic pathology.

The Fellowship allowed me to develop a novel framework and advance multivariate methodologies aimed at determining the distinct contributions of brain structure and function that are linked to differences in cognitive abilities. This work enabled me to obtain Alzheimer’s Society Dementia Research Leader Fellowship, where my research will focus on studying the brain changes underlying functional resilience in relation to genetic, vascular and comorbidity factors.


Cognition's dependence on functional network integrity with age is conditional on structural network integrity

X Liu, LK Tyler, Cam-CAN, SW Davis, J Rowe, KA Tsvetanov

Neurobiology of Aging, 2023, https://doi.org/10.1016/j.neurobiolaging.2023.06.001


Reduced locus coeruleus integrity linked to response inhibition deficits in parkinsonian disorders

R Ye, FH Hezemans, C O’Callaghan, KA Tsvetanov, C Rua, PS Jones et al.

Journal of Neuroscience, 2023 43 (42), 7928-7040, https://doi.org/10.1523/JNEUROSCI.0289-22.2023


Early neurotransmitters changes in prodromal frontotemporal dementia: A GENFI study

E Premi, M Pengo, I Mattioli, V Cantoni, J Dukart, R Gasparotti, E Buratti et al.

Neurobiology of disease 179, 106068, https://doi.org/10.1016/j.nbd.2023.106068


Neural Evidence of Functional Compensation for Fluid Intelligence in Healthy Ageing

E Knights, RN Henson, AM Morcom, DJ Mitchell, KA Tsvetanov

bioRxiv, 2023.09. 29.560099


Evaluating models of the ageing BOLD response

RN Henson, W Olszowy, KA Tsvetanov, CamCAN, P Zeidman

bioRxiv, 2023.08. 24.554634


Associative memory is more strongly predicted by age-related differences in the prefrontal cortex than medial temporal lobes

T Guardia, N Mazloum-Farzaghi, RK Olsen, KA Tsvetanov, KL Campbell

Neuroimage: Reports 2023, 3 (2), 100168


Lifespan differences in visual short-term memory load-modulated functional connectivity

S Lugtmeijer, L Geerligs, KA Tsvetanov, DJ Mitchell, KL Campbell

NeuroImage 2023, 270, 119982


Microglial activation in the frontal cortex predicts cognitive decline in frontotemporal dementia

M Malpetti, TE Cope, D Street, PS Jones, FH Hezemans, E Mak, K Tsvetanov et al.

Brain, 2023;, awad078, https://doi.org/10.1093/brain/awad078


Distinct components of cardiovascular health are linked with age-related differences in cognitive abilities

DLO King, RN Henson, R Kievit, N Wolpe, C Brayne, LK Tyler, JB Rowe, K Tsvetanov

Scientific Reports 2023 13 (1), doi: 10.1038/s41598-022-27252-1


Cognition's dependence on functional network integrity with age is conditional on structural network integrity

X Liu, LK Tyler, Cam-CAN, SW Davis, J Rowe, KA Tsvetanov

bioRxiv, 2023 2023.01. 02.522493


Cerebral blood flow predicts multiple demand network activity and fluid intelligence across the adult lifespan

S Wu, LK Tyler, RNA Henson, JB Rowe, KA Tsvetanov

Neurobiology of aging 2023 121, 1-14


Multimodal fusion analysis of functional, cerebrovascular and structural neuroimaging in healthy aging subjects

X Liu, LK Tyler, Cam‐CAN, JB Rowe, KA Tsvetanov

Human Brain Mapping 2022 43 (18), 5490-5508


In vivo 18F-flortaucipir PET does not accurately support the staging of progressive supranuclear palsy

Malpetti M, Kaalund SS, Tsvetanov KA, et al.

Journal of Nuclear Medicine 2022 63 (7), 1052-1057


Quality assessment of anatomical MRI images from Generative Adversarial Networks: Human assessment and image quality metrics

MS Treder, R Codrai, KA Tsvetanov

Journal of Neuroscience Methods 2022 374, 109579


Noradrenergic deficits contribute to apathy in Parkinson’s disease through the precision of expected outcomes

Hezemans FH, Wolpe N, O'Callaghan C, et al.

PLoS Computational Biology 2022 18 (5), e1010079


Prefrontal cortical connectivity mediates locus coeruleus noradrenergic regulation of inhibitory control in older adults

A Tomassini, FH Hezemans, R Ye, KA Tsvetanov, N Wolpe, JB Rowe

Journal of Neuroscience 2022 42 (16), 3484-3493


Proton magnetic resonance spectroscopy in frontotemporal lobar degeneration-related syndromes

AG Murley, KA Tsvetanov, MA Rouse et al.

Neurobiology of aging 2022 111, 64-70


The role of the arousal system in age‐related differences in cortical functional network architecture

T Guardia, L Geerligs, KA Tsvetanov, R Ye, KL Campbell

Human Brain Mapping 2022 43 (3), 985-997


The “Neural Shift” of Sleep Quality and Cognitive Aging: A Resting-State MEG Study of Transient Neural Dynamics

R Tibon, KA Tsvetanov

Frontiers in Aging Neuroscience 2022 13, 987


Hospitalisation for COVID-19 predicts long lasting cerebrovascular impairment: A prospective observational cohort study

KA Tsvetanov, LRB Spindler, EA Stamatakis et al.

NeuroImage: Clinical 2022 36, 103253


Reduced locus coeruleus integrity linked to response inhibition deficits in parkinsonian disorders

R Ye, FH Hezemans, C O’Callaghan, KA Tsvetanov et al.

medRxiv, 2021, 2021.10. 14.21264996


Transient neural network dynamics in cognitive ageing

R Tibon, KA Tsvetanov, D Price, D Nesbitt, CAN Cam, R Henson

Neurobiology of Aging 2021 105, 217-228


Locus coeruleus integrity and the effect of atomoxetine on response inhibition in Parkinson’s disease

C O’Callaghan, FH Hezemans, R Ye et al.

Brain 2021 144 (8), 2513-2526


Language disorder in progressive supranuclear palsy and corticobasal syndrome: neural correlates and detection by the MLSE screening tool

KA Peterson, PS Jones, N Patel, KA Tsvetanov et al.

Frontiers in Aging Neuroscience 2021 13, 675739


The effects of age on resting‐state BOLD signal variability is explained by cardiovascular and cerebrovascular factors

KA Tsvetanov, RNA Henson, PS Jones et al.

Psychophysiology 2021 58 (7), e13714


Apathy in presymptomatic genetic frontotemporal dementia predicts cognitive decline and is driven by structural brain changes

M Malpetti, PS Jones, KA Tsvetanov et al.

Alzheimer's & Dementia 2021 17 (6), 969-983


Brain functional network integrity sustains cognitive function despite atrophy in presymptomatic genetic frontotemporal dementia

KA Tsvetanov, S Gazzina, PS Jones et al.

Alzheimer's & Dementia 2021 17 (3), 500-514


Correlation constraints for regression models: Controlling bias in brain age prediction

MS Treder, JP Shock, DJ Stein, SF Du Plessis, S Seedat, KA Tsvetanov

Frontiers in psychiatry 2021 12, 615754


An in vivo probabilistic atlas of the human locus coeruleus at ultra-high field

R Ye, C Rua, C O'Callaghan, PS Jones et al.

NeuroImage 2021 225, 117487


Separating vascular and neuronal effects of age on fMRI BOLD signals

KA Tsvetanov, RNA Henson, JB Rowe

Philosophical Transactions of the Royal Society B 2021 376 (1815), 20190631


Dispersion of functional gradients across the adult lifespan

RAI Bethlehem, C Paquola, J Seidlitz et al.

Neuroimage 2020 222 117299