The Automated Anatomical Labeling (AAL) brain atlas is a widely used macroanatomical parcellation of the human brain that divides the cerebral cortex and some subcortical structures into discrete regions based on sulcal and gyral landmarks defined on a single T1-weighted structural MRI template (the MNI single-subject brain of a healthy young adult). Constructed through manual delineation by expert neuroanatomists on this normalized template, the original AAL atlas comprises 116 regions (including cortical, subcortical, and cerebellar areas), each assigned a unique label and index, with subsequent versions extending or refining these parcellations and adapting them to different templates and modalities. The AAL atlas is extensively used in functional and structural neuroimaging for region-of-interest analyses, connectivity and network studies, voxel-based morphometry, and for standardizing the anatomical labeling of activation clusters and brain networks across studies in cognitive and clinical neuroscience. Atlas Website
Overview generated by GPT-4o (2026).
Click any region name to view its full visualization and description.
Wali Sidiqyar*, Gaurav Rudravaram*, Elyssa M. McMaster, Trent M. Schwartz, Adam M. Saunders, Kurt G. Schilling, Bennett A. Landman "Introducing SPINS: A Shared Public Visualization Library of Neuroanatomical Structures." Medical Imaging with Deep Learning- short paper
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