UvA-DARE (Digital Academic Repository) A probabilistic atlas of the basal ganglia using 7 T MRI

A common localization procedure in functional imaging studies includes the overlay of statistical parametric functional magnetic resonance imaging (fMRI) maps or coordinates with neuroanato- mical atlases in standard space, e.g., MNI-space. This procedure allows the identi fi cation of speci fi c brain regions. Most standard MRI software packages include a wide range of atlases but have a poor coverage of the subcortex. We estimated that approximately 7% of the known subcortical structures are mapped in standard MRI-compatible atlases [1]. Here we provide a data description of a subcortical probabilistic atlas based on ultra-high resolution in-vivo anatomical imaging using 7 T (T) MRI. The atlas includes six subcortical nuclei: the striatum (STR), the globus pallidus internal and external segment (GPi/e), the subthalamic nucleus (STN), the substantia nigra (SN), and the red nucleus (RN). These probabilistic atlases are shared on freely available platforms such as NITRC and NeuroVault and are published in NeuroImage “ Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI ” [2].

[1]  Robert Turner,et al.  Multi-modal ultra-high resolution structural 7-Tesla MRI data repository , 2014, Scientific data.

[2]  Ferdinand Schweser,et al.  Toward online reconstruction of quantitative susceptibility maps: Superfast dipole inversion , 2013, Magnetic resonance in medicine.

[3]  B. Forstmann,et al.  Ultra-High 7T MRI of Structural Age-Related Changes of the Subthalamic Nucleus , 2012, The Journal of Neuroscience.

[4]  D. Louis Collins,et al.  Brain templates and atlases , 2012, NeuroImage.

[5]  Arno Klein,et al.  A reproducible evaluation of ANTs similarity metric performance in brain image registration , 2011, NeuroImage.

[6]  D. Louis Collins,et al.  Unbiased average age-appropriate atlases for pediatric studies , 2011, NeuroImage.

[7]  Tobias Kober,et al.  MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field , 2010, NeuroImage.

[8]  Uwe Aickelin,et al.  Tailored RF pulse for magnetization inversion at ultrahigh field , 2010, Magnetic resonance in medicine.

[9]  Brian Avants,et al.  Multivariate analysis of structural and diffusion imaging in traumatic brain injury. , 2008, Academic radiology.

[10]  Toshinori Hirai,et al.  Human subthalamic nucleus: evaluation with high-resolution MR imaging at 3.0 T , 2008, Neuroradiology.

[11]  James R. MacFall,et al.  Aging, gender, and the elderly adult brain: An examination of analytical strategies , 2008, Neurobiology of Aging.

[12]  D. Louis Collins,et al.  Symmetric Atlasing and Model Based Segmentation: An Application to the Hippocampus in Older Adults , 2006, MICCAI.

[13]  A. Toga,et al.  Mapping brain maturation , 2006, Trends in Neurosciences.

[14]  W. D. den Dunnen,et al.  Anatomical alterations of the subthalamic nucleus in relation to age: A postmortem study , 2005, Movement disorders : official journal of the Movement Disorder Society.

[15]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.

[16]  C. B. Colby.  The weirdest people in the world , 1973 .

[17]  R. C. Oldfield.  The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[18]  Jacob Cohen.  A Coefficient of Agreement for Nominal Scales , 1960 .

[19]  L. R. Dice.  Measures of the Amount of Ecologic Association Between Species , 1945 .

[20]  B. Forstmann,et al.  A perspective on terra incognita: uncovering the neuroanatomy of the human subcortex , 2013 .

[21]  Joan Y. Chiao,et al.  Cultural neuroscience: a once and future discipline. , 2009, Progress in brain research.

[22]  A. Haase,et al.  Rapid NMR Imaging Using Low Flip-Angle Pulses , 2004 .