Journal Article10.1016/J.NEUROIMAGE.2006.01.021
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.
read more
About: This article is published in NeuroImage. The article was published on 01 Jul 2006.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Quantifying interindividual variability and asymmetry of face-selective regions: a probabilistic functional atlas.
Zonglei Zhen,Zonglei Zhen,Zetian Yang,Zetian Yang,Lijie Huang,Lijie Huang,Xiangzhen Kong,Xiangzhen Kong,Xu Wang,Xu Wang,Xiaobin Dang,Xiaobin Dang,Yangyue Huang,Yangyue Huang,Yiying Song,Yiying Song,Jia Liu +16 more
TL;DR: This work presents the first effort to characterize comprehensively the variability of FSRs in a large sample of healthy subjects, and invites future work on the origin of the variability and its relation to individual differences in behavioral performance.
141
Oscillatory hyperactivity and hyperconnectivity in young APOE-ɛ4 carriers and hypoconnectivity in Alzheimer’s disease
Loes Koelewijn,Thomas M. Lancaster,David Edmund Johannes Linden,Diana C. Dima,Bethany C. Routley,Lorenzo Magazzini,Kali Barawi,Lisa Brindley,Rachael Adams,Katherine E. Tansey,Aline Bompas,Andrea Tales,Antony James Bayer,Krish D. Singh +13 more
TL;DR: Study of resting-state oscillatory connectivity in healthy young humans genotyped for APOE-ɛ4 suggests that this is present decades before the onset of AD symptomology and supports theories of initial hyperconnectivity driving eventual profound disconnection in AD.
Decreased frontal gyrification correlates with altered connectivity in children with autism
Marie Schaer,Marie Schaer,Marie-Christine Ottet,Elisa Scariati,Daniel Dukes,Martina Franchini,Stephan Eliez,Bronwyn Glaser +7 more
TL;DR: It is demonstrated that gyrification changes are related to connectivity, which supports the idea that an imbalance between short- and long-range white matter tracts not only impairs the integration of information from multiple neural systems, but also alters the shape of the brain early on in autism.
White matter integrity and reaction time intraindividual variability in healthy aging and early-stage Alzheimer disease
TL;DR: Associations between white matter volume, IIV, and ex-Gaussian RT distribution parameters in cognitively normal aging and early-stage AD support a role of white matter integrity in IIV and distributional skewing, and are consistent with the hypothesis thatIIV and RT distributional Skewing are sensitive to breakdowns in executive control processes in normal and pathological aging.
140
Amyloid and tau imaging biomarkers explain cognitive decline from late middle-age
Tobey J. Betthauser,Rebecca L. Koscik,Erin M. Jonaitis,Samantha L. Allison,Karly Alex Cody,Claire M. Erickson,Howard A. Rowley,Charles K. Stone,Kimberly D. Mueller,Lindsay R. Clark,Cynthia M. Carlsson,Nathaniel A. Chin,Sanjay Asthana,Bradley T. Christian,Sterling C. Johnson +14 more
TL;DR: Differences in cognitive performance over time were investigated between neuroimaging biomarker groups for beta-amyloid and tau in initially cognitively unimpaired persons and the combination of pathologic beta-amide and t Tau was detrimental to cognitive decline in preclinical AD during late middle-age.
140
References
•Book
An introduction to the bootstrap
Bradley Efron,Robert Tibshirani +1 more
- 01 Jan 1993
TL;DR: This article presents bootstrap methods for estimation, using simple arguments, with Minitab macros for implementing these methods, as well as some examples of how these methods could be used for estimation purposes.
Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain
Nathalie Tzourio-Mazoyer,B. Landeau,D. Papathanassiou,Fabrice Crivello,Octave Etard,Nicolas Delcroix,Bernard Mazoyer,Marc Joliot +7 more
TL;DR: An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute was performed and it is believed that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain.
16.1K
Cortical surface-based analysis. I. Segmentation and surface reconstruction
TL;DR: A set of automated procedures for obtaining accurate reconstructions of the cortical surface are described, which have been applied to data from more than 100 subjects, requiring little or no manual intervention.
11.1K
•Book
Health Measurement Scales: A Practical Guide to Their Development and Use
David L. Streiner,Geoffrey R. Norman,John Cairney +2 more
- 07 Dec 1989
TL;DR: In this article, the authors propose three basic concepts: devising the items, selecting the items and selecting the responses, from items to scales, reliability and validity of the responses.
9.5K