Kamen A. Tsvetanov - Concepedia

Author

Kamen A. Tsvetanov

Also Known As

Cam-CAN, Cam-Can, Darren Price, David Samu, James B Rowe, James B. Rowe, K. A. Tsvetanov, K.A. Tsvetanov, Kamen A Tsvetanov, Kamen A. Tsvetanov

152

Publications

5.6K

Citations

H-Index

Concepts

All Affiliations

University of Cambridge MRC Cognition and Brain Sciences Unit Medical Research Council Cambridge University Hospitals NHS Foundation Trust University College London

About

Kamen A. Tsvetanov is an author at University of Cambridge specializing in neuroscience, social sciences, and neurology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Social Sciences	10	10	495
2	Medicine	8	8	427
3	Cognitive Science	6	6	164
4	Engineering	1	1	27
5	Health Sciences	1	1	27

Kamen A. Tsvetanov

Publications

4.8K

Citations

H-Index

Page 1

	Year	Citations
Brain charts for the human lifespan Richard A. I. Bethlehem, Jakob Seidlitz, Simon R. White, Nature	2022	1.6K
Neuroinflammation and Functional Connectivity in Alzheimer's Disease: Interactive Influences on Cognitive Performance Luca Passamonti, Kamen A. Tsvetanov, P. Simon Jones, Journal of Neuroscience	2019	219
Extrinsic and Intrinsic Brain Network Connectivity Maintains Cognition across the Lifespan Despite Accelerated Decay of Regional Brain Activation Kamen A. Tsvetanov, Richard N. Henson, Lorraine K. Tyler, Journal of Neuroscience	2016	203
The effect of ageing on f<scp>MRI</scp>: Correction for the confounding effects of vascular reactivity evaluated by joint f<scp>MRI</scp> and <scp>MEG</scp> in 335 adults Kamen A. Tsvetanov, Richard N. Henson, Lorraine K. Tyler, Human Brain Mapping	2015	192
Distinct aspects of frontal lobe structure mediate age-related differences in fluid intelligence and multitasking Rogier Kievit, Simon W. Davis, Daniel J. Mitchell, Nature Communications	2014	192
Challenges in measuring individual differences in functional connectivity using fMRI: The case of healthy aging Linda Geerligs, Kamen A. Tsvetanov, Cam‐CAN, Human Brain Mapping Neuroimaging BiomarkersBrain FunctionResting-state FmriMedicineFmri Connectivity Studies	2017	189
Microglial activation and tau burden predict cognitive decline in Alzheimer’s disease Maura Malpetti, Rogier Kievit, Luca Passamonti, Brain	2020	186
Ageing increases reliance on sensorimotor prediction through structural and functional differences in frontostriatal circuits Noham Wolpe, James N. Ingram, Kamen A. Tsvetanov, Nature Communications	2016	165
Redefining the multidimensional clinical phenotypes of frontotemporal lobar degeneration syndromes Alexander G. Murley, Ian Coyle‐Gilchrist, Matthew A Rouse, Brain	2020	159
Noradrenergic-dependent functions are associated with age-related locus coeruleus signal intensity differences Kathy Liu, Rogier Kievit, Kamen A. Tsvetanov, Nature Communications	2020	144

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