World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
116
Citations
59538
World Ranking
434
National Ranking
57

Overview

Richard N. Henson is affiliated with the MRC Cognition and Brain Sciences Unit in the United Kingdom. Their research primarily spans the fields of Neuroscience and Medicine, with significant contributions to subfields such as Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental Health, Cardiology and Cardiovascular Medicine, as well as Health, Toxicology and Mutagenesis.

The scientist's work focuses extensively on topics including Functional Brain Connectivity Studies, Dementia and Cognitive Impairment Research, Neural Dynamics and Brain Function, Memory and Neural Mechanisms, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, and Memory Processes and Influences.

Frequent co-authors collaborating with Richard N. Henson include James B. Rowe, Kamen A. Tsvetanov, Rogier Kievit, Ethan Knights, and David Bartrés-Faz.

Publications are regularly found in a variety of venues, particularly bioRxiv (Cold Spring Harbor Laboratory), Neurobiology of Aging, NeuroImage, Alzheimer's & Dementia, and eLife.

Recent papers authored or co-authored by Richard N. Henson include:

  • Individual variations in 'brain age' relate to early-life factors more than to longitudinal brain change, 2021, eLife
  • Noradrenergic-dependent functions are associated with age-related locus coeruleus signal intensity differences, 2020, Nature Communications
  • Educational attainment does not influence brain aging, 2021, Proceedings of the National Academy of Sciences
  • The effects of age on resting-state BOLD signal variability is explained by cardiovascular and cerebrovascular factors, 2020, Psychophysiology
  • A predictive account of how novelty influences declarative memory, 2021, Neurobiology of Learning and Memory

Best Publications

  • A voxel-based morphometric study of ageing in 465 normal adult human brains.

    Catriona D. Good;Ingrid S. Johnsrude;John Ashburner;Richard N.A. Henson;Richard N.A. Henson

  • A voxel-based morphometric study of ageing in 465 normal adult human brains

    C.D. Good;I.S. Johnsrude;J. Ashburner;R.N.A. Henson

  • Repetition and the brain: neural models of stimulus-specific effects

    Kalanit Grill-Spector;Richard Henson;Alex Martin

  • Frontal lobes and human memory: Insights from functional neuroimaging

    P. C. Fletcher;R. N. A. Henson

  • Cerebral asymmetry and the effects of sex and handedness on brain structure: a voxel-based morphometric analysis of 465 normal adult human brains.

    Catriona D. Good;Ingrid S. Johnsrude;John Ashburner;Richard N. A. Henson;Richard N. A. Henson

  • Recollection and Familiarity in Recognition Memory: An Event-Related Functional Magnetic Resonance Imaging Study

    Richard N. A. Henson;M. D. Rugg;T. Shallice;O. Josephs

  • How schema and novelty augment memory formation.

    Marlieke T.R. van Kesteren;Marlieke T.R. van Kesteren;Dirk J. Ruiter;Guillén Fernández;Guillén Fernández;Richard N. Henson

  • Neuroimaging studies of priming.

    R.N.A Henson

  • Short-term memory for serial order: the start-end model

    Richard N.A. Henson

  • Classical and Bayesian inference in neuroimaging: applications.

    Karl J. Friston;Daniel E. Glaser;Richard N. A. Henson;Stefan J. Kiebel

  • Neuroimaging evidence for dissociable forms of repetition priming.

    R. Henson;T. Shallice;Raymond J. Dolan

  • The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample.

    Jason R. Taylor;Nitin Williams;Rhodri Cusack;Tibor Auer

  • Stochastic designs in event-related fMRI.

    K.J. Friston;E. Zarahn;O. Josephs;R.N.A. Henson

  • Good practice for conducting and reporting MEG research

    Joachim Gross;Sylvain Baillet;Gareth R. Barnes;Richard N. A. Henson

  • The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing

    Meredith A Shafto;Lorraine K Tyler;Marie Dixon;Jason R Taylor;Jason R Taylor

  • Multiple sparse priors for the M/EEG inverse problem

    Karl J. Friston;Lee M. Harrison;Jean Daunizeau;Stefan J. Kiebel

  • EEG and MEG data analysis in SPM8.

    Vladimir Litvak;Jérémie Mattout;Stefan J. Kiebel;Christophe Phillips

  • Morphing Marilyn into Maggie dissociates physical and identity face representations in the brain

    Pia Rotshtein;Richard N A Henson;Alessandro Treves;Jon Driver

  • Right prefrontal cortex and episodic memory retrieval: a functional MRI test of the monitoring hypothesis

    R. N. Henson;T. Shallice;Raymond J. Dolan

  • Multiple levels of visual object constancy revealed by event-related fMRI of repetition priming

    P. Vuilleumier;R. N. Henson;J. Driver;Raymond J. Dolan

  • Guidelines for reporting an fMRI study

    Russell A. Poldrack;Paul C. Fletcher;Richard N. Henson;Keith J. Worsley

  • Neural response suppression, haemodynamic repetition effects, and behavioural priming.

    R.N.A Henson;M.D Rugg

Frequent Co-Authors

James B. Rowe
James B. Rowe University of Cambridge
Raymond J. Dolan
Raymond J. Dolan University College London
Karl J. Friston
Karl J. Friston University College London
Rogier A. Kievit
Rogier A. Kievit Donders Institute
Michael D. Rugg
Michael D. Rugg The University of Texas at Dallas
Lorraine K. Tyler
Lorraine K. Tyler University of Cambridge
Edward T. Bullmore
Edward T. Bullmore King's College London
Jon S. Simons
Jon S. Simons University of Cambridge
Tim Shallice
Tim Shallice University College London
Andrew J. Calder
Andrew J. Calder University of Cambridge

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a career in neuroscience opens up diverse opportunities, thanks to the increasing availability of online bachelor's degree programs. These flexible options allow you to study at your own pace and can be a cost-effective route to a reputable qualification.

Many neuroscience graduates pursue roles in research, healthcare, and technology, often linking their studies to some of the highest paying degrees available today. Allied majors like biomedical engineering, pharmacy, and computer science are also among the highest paid college majors, providing strong career and salary prospects.

Cost is a major consideration for many students. Fortunately, there are online colleges that take financial aid, helping to make an advanced education in neuroscience more affordable. Evaluating your online degree options carefully can help you find a program that fits both your budget and your career ambitions.

Best Scientists Citing Richard N. Henson

Trending Scientists