neuromaps: structural and functional interpretation of brain maps

被引:165
作者
Markello, Ross D. [1 ]
Hansen, Justine Y. [1 ]
Liu, Zhen-Qi [1 ]
Bazinet, Vincent [1 ]
Shafiei, Golia [1 ]
Suarez, Laura E. [1 ]
Blostein, Nadia [2 ]
Seidlitz, Jakob [3 ]
Baillet, Sylvain [1 ]
Satterthwaite, Theodore D. [3 ]
Chakravarty, M. Mallar [2 ]
Raznahan, Armin [4 ]
Misic, Bratislav [1 ]
机构
[1] McGill Univ, Montreal Neurol Inst, Montreal, PQ, Canada
[2] McGill Univ, Douglas Mental Hlth Univ Inst, Cerebral Imaging Ctr, Montreal, PQ, Canada
[3] Univ Penn, Perelman Sch Med, Lifespan Informat & Neuroimaging Ctr, Philadelphia, PA 19104 USA
[4] NIMH, Sect Dev Neurogen, Bethesda, MD 20892 USA
基金
加拿大健康研究院; 加拿大自然科学与工程研究理事会; 美国国家卫生研究院;
关键词
SURFACE-BASED ANALYSIS; IN-VIVO ATLAS; REGISTRATION; SYSTEM; SCHIZOPHRENIA; TALAIRACH; CORTEX; MYELIN; CONNECTIVITY; ORGANIZATION;
D O I
10.1038/s41592-022-01625-w
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Imaging technologies are increasingly used to generate high-resolution reference maps of brain structure and function. Comparing experimentally generated maps to these reference maps facilitates cross-disciplinary scientific discovery. Although recent data sharing initiatives increase the accessibility of brain maps, data are often shared in disparate coordinate systems, precluding systematic and accurate comparisons. Here we introduce neuromaps, a toolbox for accessing, transforming and analyzing structural and functional brain annotations. We implement functionalities for generating high-quality transformations between four standard coordinate systems. The toolbox includes curated reference maps and biological ontologies of the human brain, such as molecular, microstructural, electrophysiological, developmental and functional ontologies. Robust quantitative assessment of map-to-map similarity is enabled via a suite of spatial autocorrelation-preserving null models. neuromaps combines open-access data with transparent functionality for standardizing and comparing brain maps, providing a systematic workflow for comprehensive structural and functional annotation enrichment analysis of the human brain.
引用
收藏
页码:1472 / +
页数:15
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