S
Steve C.R. Williams
Researcher at King's College London
Publications - 165
Citations - 14761
Steve C.R. Williams is an academic researcher from King's College London. The author has contributed to research in topics: Functional magnetic resonance imaging & Psychosis. The author has an hindex of 59, co-authored 163 publications receiving 12984 citations. Previous affiliations of Steve C.R. Williams include Centre for Mental Health & Imperial College London.
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Journal ArticleDOI
Social intelligence in the normal and autistic brain: an fMRI study.
Simon Baron-Cohen,Howard Ring,Sally Wheelwright,Edward T. Bullmore,Edward T. Bullmore,Mick Brammer,Mick Brammer,Andrew Simmons,Steve C.R. Williams +8 more
TL;DR: Functional magnetic resonance imaging (fMRI) confirmed Brothers' prediction that the STG and amygdala show increased activation when using social intelligence, and provided support for the social brain theory of normal function, and the amygdala theory of autism.
Journal ArticleDOI
Hypofrontality in attention deficit hyperactivity disorder during higher-order motor control: a study with functional MRI.
Katya Rubia,S Overmeyer,Eric Taylor,Michael Brammer,Steve C.R. Williams,Andrew Simmons,Edward T. Bullmore +6 more
TL;DR: Functional magnetic resonance imaging was used to investigate the hypothesis that attention deficit hyperactivity disorder (ADHD) is associated with a dysfunction of prefrontal brain regions during motor response inhibition and motor timing, and hyperactive adolescents showed lower power of response.
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Statistical methods of estimation and inference for functional MR image analysis
Edward T. Bullmore,Michael Brammer,Steve C.R. Williams,Sophia Rabe-Hesketh,Nicolas Janot,Anthony S. David,John D. C. Mellers,Robert Howard,Pak C. Sham +8 more
TL;DR: An approach to fit a time series regression model, including sine and cosine terms at the (fundamental) frequency of experimental stimulation, by pseudogeneralized least squares (PGLS) at each pixel of an image to create inferential brain activation maps (BAMs) of pixels significantly activated by the experimental stimulus.
Journal ArticleDOI
Non-invasive assessment of axonal fiber connectivity in the human brain via diffusion tensor MRI.
TL;DR: A technique for assessing in vivo fiber connectivity in the human brain is presented that utilizes a novel connectivity algorithm that operates in three spatial dimensions and uses estimates of fiber tract orientation and tissue anisotropy to establish the pathways of fiber tracts.
Journal ArticleDOI
Vascular dysfunction-The disregarded partner of Alzheimer's disease
Melanie D. Sweeney,Axel Montagne,Abhay P. Sagare,Daniel A. Nation,Lon S. Schneider,Helena C. Chui,Michael G. Harrington,Judy Pa,Meng Law,Danny J.J. Wang,Russell E. Jacobs,Fergus N. Doubal,Joel Ramirez,Sandra E. Black,Helene Benveniste,Martin Dichgans,Costantino Iadecola,Seth Love,Philip M.W. Bath,Philip M.W. Bath,Hugh S. Markus,Rustam Al-Shahi Salman,Stuart M. Allan,Terence J. Quinn,Rajesh N. Kalaria,David J. Werring,Roxana O. Carare,Rhian M. Touyz,Steve C.R. Williams,Michael A. Moskowitz,Zvonimir S. Katusic,Sarah E. Lutz,Orly Lazarov,Richard D. Minshall,Jalees Rehman,Thomas P. Davis,Cheryl L. Wellington,Hector M. González,Chun Yuan,Samuel N. Lockhart,Timothy M. Hughes,Christopher Chen,Perminder S. Sachdev,John T. O'Brien,Ingmar Skoog,Leonardo Pantoni,Deborah Gustafson,Geert Jan Biessels,Anders Wallin,Eric E. Smith,Vincent Mok,Adrian Wong,Peter Passmore,Frederick Barkof,Frederick Barkof,Majon Muller,Monique M.B. Breteler,Monique M.B. Breteler,Gustavo C. Román,Edith Hamel,Sudha Seshadri,Sudha Seshadri,Rebecca F. Gottesman,Mark A. van Buchem,Zoe Arvanitakis,Julie A. Schneider,Lester R. Drewes,Vladimir Hachinski,Caleb E. Finch,Arthur W. Toga,Joanna M. Wardlaw,Berislav V. Zlokovic +71 more
TL;DR: Vascular imaging biomarkers of small vessel disease of the brain, which is responsible for >50% of dementia worldwide, including AD, are already established, well characterized, and easy to recognize and should be incorporated into the AD Research Framework to gain a better understanding of AD pathophysiology and aid in treatment efforts.