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3D Human Brain Atlas in MNI Space with the Harvard Ascending Arousal Network

This is a 3D atlas of the human brain on the MNI ICBM152 2009c template, the standard space of most brain imaging papers. It joins four open atlases in one view. They are the CerebrA cortical and deep labels, the CIT168 subcortical nuclei, the Harvard Ascending Arousal Network of the brainstem, and the Yeo 2011 resting-state networks. Type a coordinate from a paper and the atlas reports the region at that point in each of the four, on the 3D model and on MRI slices.

The arousal network is the reason this atlas is on a site about consciousness. Clinical neurology separates consciousness into arousal, being awake, and awareness, having experience. The Harvard atlas maps the brainstem nuclei that the Edlow group links to wakefulness, the structures whose damage is studied in coma. A consciousness layer marks where each theory of consciousness places its key structures, and where clinical studies of coma and the minimally conscious state found them, with the source for every statement.

Human Brain Atlas MNI ICBM152 2009c
LOADINGStatus
0Structures
4Atlases

Tap a structure, or search for one.

MRI slices

Slices of the MNI 2009c template load when you scroll here (4.1 MB).

What you can do here

  • Look up a coordinate. Enter x, y and z in millimetres, as printed in a paper’s results table, and press Find. Each atlas reports the region at that point. When the point has no label, for example in white matter, the atlas reports the nearest labelled voxel within 3 mm and its distance.
  • Read the slices. The axial, coronal and sagittal slices of the template show every region outlined in its colour. Tap a slice to move the point. The same point is marked with a green crosshair on the 3D model.
  • Select a structure. Tap it on the model, or search by name or abbreviation. The card gives its volume and centre in MNI millimetres, the atlas it comes from and that atlas’s licence.
  • See inside. Turn on the subcortical nuclei or the arousal network, and the cortex becomes a glass shell so the nuclei inside show. A cut plane removes the half of the brain nearest to you.
  • Follow a theory. Choose a theory or a clinical finding under Consciousness. Its structures stay solid and the rest of the brain turns to glass, with a summary of the claim, the source and our note on how its regions were matched to atlas labels.
  • Share a view. The address of the page keeps the selected structure and the point, so a copied link opens the same view.

The opening download is 2.3 MB. The slices, the label grids and the other layers load when you use them, 9.3 MB in all.

The four atlases

Layer Atlas Structures here Licence
Cortex, deep structures CerebrA, Manera et al. 2020 102, 51 per hemisphere CC0 1.0
Subcortical nuclei CIT168, Pauli, Nili and Tyszka 2018 32, 16 per hemisphere CC BY 4.0
Arousal network Harvard Ascending Arousal Network v2.0, Edlow and Kinney 2023 16 brainstem nuclei CC0 1.0
Resting-state networks Yeo 2011 seven networks, Yeo et al. 2011 14, 7 per hemisphere MIT
Template and slices MNI ICBM152 2009c nonlinear symmetric, Fonov et al. 2011   MNI notice below

CerebrA is the Mindboggle-101 labelling registered to the 2009c symmetric template and corrected by hand. CIT168 is a probabilistic atlas built from 168 Human Connectome Project subjects. This atlas uses its deterministic labels, split at the midline into left and right. The Harvard atlas is built from ex vivo MRI and histology of brainstem specimens. The Yeo networks come from resting-state fMRI of 1,000 people.

The consciousness layer

The layer has three groups. Theories place consciousness in different parts of the brain. Integrated information theory points to a posterior hot zone of the cortex, the global neuronal workspace to prefrontal and parietal association cortex, higher-order theories to prefrontal cortex, and recurrent processing to visual cortex itself. Merker argues for the upper brainstem, and dendritic integration for the loop between thalamus and cortex. The arousal network of the Harvard atlas is shown as its own group, because it sustains being awake, not the content of experience. Clinical evidence shows where lesions cause coma, which cortical network loses its connections in patients who cannot communicate, and where stimulation helped a patient in the minimally conscious state.

Each overlay states what the source says and, separately, how we matched its regions to the labels of this atlas. A paper names a region in words, such as a posterior hot zone or the dorsolateral pontine tegmentum. The atlas marks whole labels. The match is ours and is written down for each overlay, so it can be checked and argued with. Where the 2025 Cogitate adversarial test bears on a theory, its result is shown beside the claim.

How the numbers are made

Every number on this page is computed by our build script from the released files, not copied by hand. A structure’s volume is its count of 1 mm voxels on the template grid. Its centre is the mean position of those voxels in MNI millimetres. The surfaces are traced from the label voxels with marching cubes, smoothed lightly and reduced to a triangle budget, so their edges are approximate at the scale of a millimetre. The coordinate lookup reads the label voxels themselves, not the surfaces.

What this atlas does not show

The four atlases do not share one template. CerebrA uses the symmetric 2009c template and CIT168 the asymmetric 2009c template on the same grid. The Harvard and Yeo atlases were made on the FSL MNI152 template and are resampled here by their world coordinates. The templates differ by a few millimetres, so treat a label near a boundary with care. An atlas is also an average. It gives the most likely region at a point for a group of brains, not the region in any one person’s brain.

The thalamus appears as one structure per hemisphere. A version with its separate nuclei waits on a licence question. The cerebellum has three vermis labels and its grey and white matter, not its separate lobules, because the main cerebellar atlas is licensed for non-commercial use only.

The Connectome Atlas shows complete nervous systems neuron by neuron, from the fruit fly to a fragment of human cortex. States of Consciousness shows how brain networks change under anaesthesia and in the unresponsive wakefulness syndrome. The Theory Arena sorts the experiments that support or challenge each theory of consciousness. Zap and Zip shows the brain’s echo to a magnetic pulse, a measure used to assess consciousness at the bedside.

Sources

  • Fonov V, Evans AC, Botteron K, et al. Unbiased average age-appropriate atlases for pediatric studies. NeuroImage 54:313, 2011. doi:10.1016/j.neuroimage.2010.07.033
  • Manera AL, Dadar M, Fonov V, Collins DL. CerebrA, registration and manual label correction of Mindboggle-101 atlas for MNI-ICBM152 template. Scientific Data 7:237, 2020. doi:10.1038/s41597-020-0557-9
  • Pauli WM, Nili AN, Tyszka JM. A high-resolution probabilistic in vivo atlas of human subcortical brain nuclei. Scientific Data 5:180063, 2018. doi:10.1038/sdata.2018.63
  • Edlow BL, Kinney HC. Harvard Ascending Arousal Network Atlas, Version 2.0. Dryad, 2023. doi:10.5061/dryad.zw3r228d2
  • Edlow BL, Olchanyi M, Freeman HJ, et al. Multimodal MRI reveals brainstem connections that sustain wakefulness in human consciousness. Science Translational Medicine, 2024. doi:10.1126/scitranslmed.adj4303
  • Yeo BTT, Krienen FM, Sepulcre J, et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. Journal of Neurophysiology 106:1125, 2011. doi:10.1152/jn.00338.2011

Sources for the consciousness layer

  • Koch C, Massimini M, Boly M, Tononi G. Neural correlates of consciousness, progress and problems. Nature Reviews Neuroscience 17:307, 2016. doi:10.1038/nrn.2016.22
  • Boly M, Massimini M, Tsuchiya N, et al. Are the neural correlates of consciousness in the front or in the back of the cerebral cortex? Journal of Neuroscience 37:9603, 2017. doi:10.1523/JNEUROSCI.3218-16.2017
  • Mashour GA, Roelfsema P, Changeux JP, Dehaene S. Conscious processing and the global neuronal workspace hypothesis. Neuron 105:776, 2020. doi:10.1016/j.neuron.2020.01.026
  • Lau H, Rosenthal D. Empirical support for higher-order theories of conscious awareness. Trends in Cognitive Sciences 15:365, 2011. doi:10.1016/j.tics.2011.05.009
  • Lamme VAF. Towards a true neural stance on consciousness. Trends in Cognitive Sciences 10:494, 2006. doi:10.1016/j.tics.2006.09.001
  • Merker B. Consciousness without a cerebral cortex, a challenge for neuroscience and medicine. Behavioral and Brain Sciences 30:63, 2007. doi:10.1017/S0140525X07000891
  • Aru J, Suzuki M, Larkum ME. Cellular mechanisms of conscious processing. Trends in Cognitive Sciences 24:814, 2020. doi:10.1016/j.tics.2020.07.006
  • Redinbaugh MJ, Phillips JM, Kambi NA, et al. Thalamus modulates consciousness via layer-specific control of cortex. Neuron 106:66, 2020. doi:10.1016/j.neuron.2020.01.005
  • Cogitate Consortium, Ferrante O, Gorska-Klimowska U, et al. Adversarial testing of global neuronal workspace and integrated information theories of consciousness. Nature 642:133, 2025. doi:10.1038/s41586-025-08888-1
  • Parvizi J, Damasio AR. Neuroanatomical correlates of brainstem coma. Brain 126:1524, 2003. doi:10.1093/brain/awg166
  • Fischer DB, Boes AD, Demertzi A, et al. A human brain network derived from coma-causing brainstem lesions. Neurology 87:2427, 2016. doi:10.1212/WNL.0000000000003404
  • Vanhaudenhuyse A, Noirhomme Q, Tshibanda LJF, et al. Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients. Brain 133:161, 2010. doi:10.1093/brain/awp313
  • Schiff ND, Giacino JT, Kalmar K, et al. Behavioural improvements with thalamic stimulation after severe traumatic brain injury. Nature 448:600, 2007. doi:10.1038/nature06041

MNI template notice

The template and the slices derived from it are distributed under this notice, reproduced as the licence requires.

Copyright (C) 1993-2004 Louis Collins, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University. Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, provided that the above copyright notice appear in all copies. The authors and McGill University make no representations about the suitability of this software for any purpose. It is provided “as is” without express or implied warranty. The authors are not responsible for any data loss, equipment damage, property loss, or injury to subjects or patients resulting from the use or misuse of this software package.