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,Meredith A. Shafto,Marie Dixon,Lorraine K. Tyler,Cam-CAN,Richard N. Henson +8 more
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TLDR
The Cam-CAN Stage 2 repository contains multi-modal (MRI, MEG, and cognitive-behavioural) data from a large, cross-sectional adult lifespan (18–87 years old) population-based sample, providing a depth of neurocognitive phenotyping that is currently unparalleled, enabling integrative analyses of age-related changes in brain structure, brain function, and cognition.About:
This article is published in NeuroImage.The article was published on 2017-01-01 and is currently open access. It has received 491 citations till now. The article focuses on the topics: Functional neuroimaging & Neurocognitive.read more
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Magnetoencephalography for brain electrophysiology and imaging
TL;DR: A review of magnetoencephalography (MEG) among the techniques available to explore and resolve brain function and dysfunction can be found in this paper, where the authors identify and discuss current practical challenges, in particular in signal extraction and interpretation.
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Building a Science of Individual Differences from fMRI.
Julien Dubois,Ralph Adolphs +1 more
TL;DR: It is emphasized that individual assessment of neural function with fMRI presents specific challenges and necessitates careful consideration of anatomical and vascular between- subject variability as well as sources of within-subject variability.
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Autoreject: Automated artifact rejection for MEG and EEG data.
TL;DR: In this article, an automated algorithm for unified rejection and repair of bad trials in magnetoencephalography (MEG) and EEG (EEG) signals is presented. But this approach is limited to EEG and cannot handle MEG.
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A distributed brain network predicts general intelligence from resting-state human neuroimaging data
TL;DR: This article used the final release of the Young Adult Human Connectome Project, providing a full hour of resting-state fMRI per subject; controlled for gender, age and brain volume; and derived a reliable estimate of general intelligence from scores on multiple cognitive tasks.
References
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“Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician
Marshal F. Folstein,Marshal F. Folstein,Susan E B Folstein,Susan E B Folstein,Paul R. McHugh,Paul R. McHugh +5 more
TL;DR: A simplified, scored form of the cognitive mental status examination, the “Mini-Mental State” (MMS) which includes eleven questions, requires only 5-10 min to administer, and is therefore practical to use serially and routinely.
A practical method for grading the cognitive state of patients for the clinician
TL;DR: The Mini-Mental State (MMS) as mentioned in this paper is a simplified version of the standard WAIS with eleven questions and requires only 5-10 min to administer, and is therefore practical to use serially and routinely.
Journal ArticleDOI
Advances in functional and structural MR image analysis and implementation as FSL.
Stephen M. Smith,Mark Jenkinson,Mark W. Woolrich,Mark W. Woolrich,Christian F. Beckmann,Behrens Tej.,Heidi Johansen-Berg,Peter R. Bannister,M De Luca,Ivana Drobnjak,D E Flitney,Rami K. Niazy,J Saunders,J Vickers,Yongyue Zhang,N. De Stefano,J M Brady,Paul M. Matthews +17 more
TL;DR: A review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB) on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data.
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An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.
Rahul S. Desikan,Florent Ségonne,Bruce Fischl,Bruce Fischl,Brian T. Quinn,Bradford C. Dickerson,Deborah Blacker,Randy L. Buckner,Randy L. Buckner,Anders M. Dale,R. Paul Maguire,Bradley T. Hyman,Marilyn S. Albert,Ronald J. Killiany +13 more
TL;DR: An automated labeling system for subdividing the human cerebral cortex into standard gyral-based neuroanatomical regions is both anatomically valid and reliable and may be useful for both morphometric and functional studies of the cerebral cortex.
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A fast diffeomorphic image registration algorithm
TL;DR: DARTEL has been applied to intersubject registration of 471 whole brain images, and the resulting deformations were evaluated in terms of how well they encode the shape information necessary to separate male and female subjects and to predict the ages of the subjects.