Comprehensive cellular‐resolution atlas of the adult human brain
Open accessAbstract
Detailed anatomical understanding of the human brain is essential for unraveling its functional architecture, yet current reference atlases have major limitations such as lack of whole‐brain coverage, relatively low image resolution, and sparse structural annotation. We present the first digital human brain atlas to incorporate neuroimaging, high‐resolution histology, and chemoarchitecture across a complete adult female brain, consisting of magnetic resonance imaging (MRI), diffusion‐weighted imaging (DWI), and 1,356 large‐format cellular resolution (1 µm/pixel) Nissl and immunohistochemistry anatomical plates. The atlas is comprehensively annotated for 862 structures, including 117 white matter tracts and several novel cyto‐ and chemoarchitecturally defined structures, and these annotations were transferred onto the matching MRI dataset. Neocortical delineations were done for sulci, gyri, and modified Brodmann areas to link macroscopic anatomical and microscopic cytoarchitectural parcellations. Correlated neuroimaging and histological structural delineation allowed fine feature identification in MRI data and subsequent structural identification in MRI data from other brains. This interactive online digital atlas is integrated with existing Allen Institute for Brain Science gene expression atlases and is publicly accessible as a resource for the neuroscience community. J. Comp. Neurol. 524:3127–3481, 2016. © 2016 The Authors The Journal of Comparative Neurology Published by Wiley Periodicals, Inc.
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TL;DR
The paper presents a digital adult human brain atlas combining ex vivo MRI, DWI, and high-resolution histology from a complete adult female brain, with 1,356 cellular-resolution anatomical plates and 862 annotated structures. It is publicly accessible, interactive, and integrated with existing Allen Institute human brain gene expression atlases.
Key findings
- The atlas includes MRI, DWI, and 1,356 large-format cellular-resolution (1 µm/pixel) Nissl and immunohistochemistry plates from the same adult female brain; 106 Nissl-stained sections were annotated for 862 structures using 11,398 polygons, including 117 white matter tracts.
- Annotations cover modified Brodmann areas, sulci/gyri, subcortical nuclei, brainstem, and cerebellum, and identify novel or newly detailed structures/subdivisions such as MDam in the thalamus, BMm in the amygdala, the lateral olfactory area (LOA), area prostriata (APro), and the basal interstitial nucleus of the cerebellum (BIcb).
- Correlated histology and MRI allowed feature extraction and transfer: the medial geniculate nucleus showed high signal intensity and the dorsal lateral geniculate nucleus low signal intensity, enabling identification in MRI from other Allen Human Brain Atlas cases; 76 coronal MRI slices at 2-mm intervals were annotated.
- The resource is freely accessible online and linked to adult and developing human brain transcriptional atlases.
Methods
- Single 34-year-old female donor with no history of neurological disease; brain was fixed, scanned ex vivo with 7 T structural MRI and 3 T DWI, bisected, slabbed, and sectioned coronally at 50 µm. Of 2,716 total sections, 679 were Nissl-stained (200-µm interval), 339 NFP-immunostained (400-µm interval), and 338 PV-immunostained (400-µm interval); 1,356 sections were digitized at 1 µm/pixel.
- Anatomical delineation used 106 selected Nissl sections with sampling intervals of 0.4–3.4 mm, combined with adjacent NFP and PV sections; outlines were drawn on printouts, converted to digital polygons, and linked to a hierarchical whole-brain ontology.
- MRI annotations were made on 76 coronal slices at 2-mm intervals; DWI tractography used the FACT algorithm with a 60° angular threshold, tracts longer than 20 mm, and 90% skip applied.
Limitations
- Stated: the atlas is based on a single representative brain specimen, and the authors note that interindividual variability makes it unrealistic to map histological annotations from one specimen directly into a probabilistic reference space.
- Stated: transposing Nissl-based delineations into full 3D annotations registered to MRI is challenging because of incomplete and nonuniform sampling of the annotated plates.
- Stated: sectioning and mounting produced artifacts including large cracks and smaller tears in some sections; evident from the text, the resource is descriptive and single-donor, with no group-level statistical validation, and annotations are manual and could be reannotated by other researchers.
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Claims the paper makes
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- Findingnone given
The atlas annotations were transferred onto the matching MRI dataset.
“and these annotations were transferred onto the matching MRI dataset.”
Quote in the paperSubstantial claim - Findingown data
The atlas includes several novel cyto- and chemoarchitecturally defined structures.
“and several novel cyto‐ and chemoarchitecturally defined structures”
Quote in the paperSubstantial claim - Findingown data
The paper presents a digital human brain atlas incorporating neuroimaging, high-resolution histology, and chemoarchitecture across a complete adult female brain.
“We present the first digital human brain atlas to incorporate neuroimaging, high‐resolution histology, and chemoarchitecture across a complete adult female brain”
Quote in the paperSubstantial claim- Rests on an assumption: A single adult female brain without neurological disease is representative of the adult human brain for the purpose of a reference atlas.
- Findingnone given
The interactive online digital atlas is integrated with existing Allen Institute for Brain Science gene expression atlases.
“This interactive online digital atlas is integrated with existing Allen Institute for Brain Science gene expression atlases”
Quote in the paperNot a substantial claim - Findingown data
The atlas consists of MRI, DWI, and 1,356 large-format cellular resolution (1 μm/pixel) Nissl and immunohistochemistry anatomical plates.
“consisting of magnetic resonance imaging (MRI), diffusion‐weighted imaging (DWI), and 1,356 large‐format cellular resolution (1 µm/pixel) Nissl and immunohistochemistry anatomical plates”
Quote in the paperSubstantial claim
- Findingown data
The 862 annotated structures include 117 white matter tracts.
“including 117 white matter tracts”
Quote in the paperNot a substantial claim - Findingown data
The atlas is comprehensively annotated for 862 structures.
“The atlas is comprehensively annotated for 862 structures”
- Also stated in: § Digital atlas design and annotation · plain
“In total, 862 brain structures were digitally annotated on the 106 whole‐hemisphere images using 11,398 polygons.”
Quote in the paperSubstantial claim- Rests on an assumption: A single adult female brain without neurological disease is representative of the adult human brain for the purpose of a reference atlas.
- Also stated in: § Digital atlas design and annotation · plain
- Findingcitation
Brodmann's large area 11 was replaced with smaller areas 14, 11, and 13 according to modern anatomical studies and our own investigation of Nissl preparations and PV- and NFP-immunostained sections.
“Another example of modification of Brodmann's areas is the orbitofrontal cortex, where Brodmann's large area 11 was replaced with smaller areas 14, 11, and 13 according to a few modern anatomical studies in human (Hof et al., 1995a; Öngür et al., 2003) and our own investigation of Nissl preparations and PV‐ and NFP‐immunostained sections.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Hof et al., 1995a
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- cites Öngür et al., 2003
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- Findingown data
Ex vivo MRI and DWI scans (at 7 T and 3 T, respectively) of both hemispheres were collected prior to histological processing.
“ex vivo MRI and DWI scans (at 7 T and 3 T, respectively) of both hemispheres were collected (Fig. 2A,B) prior to histological processing.”
Quote in the paperSubstantial claim - Findingown data
Histological sections were imaged at cellular resolution allowing neuronal soma, dendrites, and axons to be clearly identified.
“Histological sections were imaged at cellular resolution allowing neuronal soma, dendrites, and axons to be clearly identified (Fig. 2F).”
Quote in the paperSubstantial claim - Findingcitation
Brodmann's areas 22 and 21 were subdivided into rostral, intermediate, and caudal parts based on different staining intensity in PV-stained sections.
“For instance, Brodmann's areas 22 and 21 (roughly corresponding to von Economo's areas TA and TEd) were subdivided into rostral, intermediate, and caudal parts based on different staining intensity in PV‐stained sections (Ding et al., 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ding et al., 2009
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- Findingown data
PV immunoreactivity discerns a variety of fiber tracts and trajectories, including the commissure of the inferior colliculus and the optic radiation.
“PV immunoreactivity shows similar discernment of a variety of fiber tracts and trajectories, such as the commissure of the inferior colliculus (Fig. 6F) and the optic radiation (Fig. 7D,E).”
Quote in the paperSubstantial claim - Findingown data
The combined analysis of Nissl staining and NFP or PV immunolabeling was useful in defining many subcortical regions and subdivisions such as ventroposterior inferior (VPI), parafascicular (Pf), and centromedian (CM) nuclei in the thalamus and cranial motor nuclei of the brainstem.
“The combined analysis of Nissl staining and NFP or PV immunolabeling was also useful in defining many subcortical regions and subdivisions such as ventroposterior inferior (VPI), parafascicular (Pf), and centromedian (CM) nuclei in the thalamus (Thal; Fig. 6D) and cranial motor nuclei of the brainstem (Figs. 6E, 7A–C).”
Quote in the paperSubstantial claim - Findingown data
APro is much larger in human than in macaque monkey.
“Our mapping indicates that APro is much larger in human (Fig. 12) than in macaque monkey (Ding et al., 2003).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ding et al., 2003
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- Rests on an assumption: The exact location and extent of area prostriata in the human brain has not been reported in detail so far.
- Findingown data
The atlas consists of brain-wide neuroimaging (MRI, DWI) and histological data (Nissl, NFP, PV) based on whole-hemisphere serial sectioning, staining, and true cellular resolution imaging.
“The atlas consists of brain‐wide neuroimaging (MRI, DWI) and histological data (Nissl, NFP, PV) based on whole‐hemisphere serial sectioning, staining, and true cellular resolution imaging.”
Quote in the paperSubstantial claim - Findingown data
These data allowed a detailed parcellation of regions that had not yet been examined in detail by others, such as the area prostriata and other structures described above.
“In many other cases these data allowed a detailed parcellation of regions that had not yet been examined in detail by others, such as the area prostriata and other structures described above.”
Quote in the paperSubstantial claim - Findingreasoning
Combining the extracted signal-intensity features with basic spatial topography, the MG and DLG in MRI scans from other brains from the Allen Human Brain Atlas are clearly discerned.
“Combining these features with basic spatial topography, the MG and DLG in the MRI scans from other brains from the Allen Human Brain Atlas (Hawrylycz et al., 2012) are clearly discerned (Fig. 14C,D).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hawrylycz et al., 2012
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- Findingown data
A group of densely packed larger cells exists between the paraventricular nucleus (PaV) and the main portion of the mediodorsal nucleus (MD) of the thalamus, named the anteromedial subdivision of the MD (MDam).
“One example is in the mediodorsal nucleus (MD) of the thalamus, where we observed a group of densely packed larger cells between the paraventricular nucleus (PaV) and the main portion of the MD, which we named the anteromedial subdivision of the MD (MDam in Fig. 10A).”
Quote in the paperSubstantial claim - Findingown data
BMm displays enriched cellular expression of the GABA receptor subunit E (GABRE) compared with the neighboring BMD and BMV.
“The BMm displays enriched cellular expression of the γ‐aminobutyric acid (GABA) receptor subunit E (GABRE) compared with the neighboring BMD and BMV (Fig. 10D).”
Quote in the paperSubstantial claim - Findingown data
The combination of high image resolution and dense (200-μm-interval) Nissl sampling made it possible to reveal or clarify a number of complex or smaller brain structures.
“In addition to confirming previously identified structures, the combination of high image resolution and dense (200‐µm‐interval) Nissl sampling made it possible to reveal or clarify a number of complex or smaller brain structures”
Quote in the paperSubstantial claim - Findingown data
Area prostriata (APro) and the basal interstitial nucleus of the cerebellum (BIcb), previously described only in non-human primates, were identified in the human brain.
“Two other structures described previously only in non‐human primates were identified as well, such as area prostriata (APro) and the basal interstitial nucleus of the cerebellum (BIcb).”
Quote in the paperSubstantial claim - Findingcitation
In many cases, this parcellation agrees with parcellations generated using other techniques such as receptor autoradiography and Nissl-based gray-level indices.
“In many cases this parcellation agrees with those generated using other techniques such as receptor autoradiography and Nissl‐based gray‐level indices (Zilles and Amunts, 2009; Amunts et al., 2010; Vogt et al., 2013).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Zilles and Amunts, 2009
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- cites Amunts et al., 2010 source
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- cites Vogt et al., 2013
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- Findingnone given
The atlas is comprehensively annotated using a unified hierarchical structural ontology based on combined cyto- and chemoarchitectural parcellation of 862 gray matter and white matter structures.
“Most importantly, the atlas is comprehensively annotated using a unified hierarchical structural ontology based on combined cyto‐ and chemoarchitectural parcellation of 862 gray matter and white matter structures.”
Quote in the paperSubstantial claim - Findingown data
APro is located at the junction of the retrosplenial, post- and parasubiculum, posterior cingulate, and anterior-dorsal primary visual cortices.
“APro is a region located at the junction of the retrosplenial, post‐ and parasubiculum, posterior cingulate, and anterior–dorsal primary visual cortices.”
Quote in the paperSubstantial claim - Findingown data
In sections immunostained for NFP, only the largest neurons are labeled.
“In sections immunostained for NFP, only the largest neurons are labeled (Fig. 11B).”
Quote in the paperNot a substantial claim - Findingown data
A novel subdivision of the basomedial nucleus (BM) of the amygdala, located medial to the dorsal and ventral subdivisions of the BM (BMD and BMV), was identified and termed BMm.
“Similarly, we identified a novel subdivision of the basomedial nucleus (BM) of the amygdala. This subdivision is located medial to the dorsal and ventral subdivisions of the BM (BMD and BMV) and was termed BMm (medial subdivision of BM; Fig. 10C and inset).”
Quote in the paperSubstantial claim - Findingown data
In Nissl-stained materials, the SI contains many cellular patches of differing sizes, packing densities, and staining intensities, with cells of contrasting shapes and sizes, compared with the LOA.
“In Nissl‐stained materials, the SI contains many cellular patches of differing sizes, packing densities, and staining intensities, with cells of contrasting shapes and sizes, compared with the LOA (Fig. 11A).”
Quote in the paperSubstantial claim - Findingown data
NFP immunoreactivity was in many cases more informative than Nissl stain for delineation of cortical regions based on the selective labeling of pyramidal neuron populations in different layers.
“NFP immunoreactivity was in many cases more informative than Nissl stain for delineation of cortical regions based on the selective labeling of pyramidal neuron populations in different layers.”
Quote in the paperSubstantial claim - Findingown data
The boundaries between areas 29 and the neighboring suprasplenial subiculum (SuS) and caudal presubiculum (PrSc) were confidently identified based on staining features revealed in Nissl- and adjacent PV- and NFP-immunostained sections.
“For example, the boundaries between areas 29 and the neighboring suprasplenial subiculum (SuS) and caudal presubiculum (PrSc; also known as the postsubiculum [PoS]) were confidently identified based on staining features revealed in Nissl‐ (Fig. 5A), and adjacent PV‐ and NFP‐ (Fig. 5B and inset) immunostained sections.”
Quote in the paperSubstantial claim - Findingown data
Motor roots of the cranial nuclei in the brainstem are clearly delineated by NFP staining.
“Motor roots of the cranial nuclei in the brainstem are clearly delineated by NFP staining (Figs. 6E, G, 7A).”
Quote in the paperNot a substantial claim - Findingown data
A corresponding part of the somatosensory radiation (sr) is also clearly visible in the 7 T MRI dataset.
“Interestingly, a corresponding part of the somatosensory radiation (named here the “sr”) is also clearly visible (Fig. 19, levels 38–46).”
Quote in the paperNot a substantial claim - Findingcitation
Linkage to the Allen Human Brain Atlas allowed corroboration of the identified structures with other gene expression data.
“while the linkage to the Allen Human Brain Atlas (Hawrylycz et al., 2012) allowed corroboration of these structures with other gene expression data”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hawrylycz et al., 2012
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- Findingown data
The denser sampling of subcortical regions allowed comprehensive detailed annotation of fine nuclear architecture for all major regions.
“The denser sampling of subcortical regions allowed comprehensive detailed annotation of fine nuclear architecture for all major regions, as illustrated for the hypothalamus (Fig. 4) and the amygdala (Fig. 9).”
Quote in the paperSubstantial claim - Findingcitation
The resource is integrated with other human brain cellular resolution gene expression and transcriptomic atlases.
“A freely accessible online atlas browser was created to allow easy visualization and navigation, and the resource is integrated with other human brain cellular resolution gene expression and transcriptomic atlases (Hawrylycz et al., 2012; Miller et al., 2014).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Hawrylycz et al., 2012
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- cites Miller et al., 2014
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- Findingown data
The unique human dataset of interleaved Nissl staining, and NFP and PV immunolabeling in a whole hemisphere allowed a complete parcellation based on variations in overall cell density, NFP immunolabeling of subsets of long-range excitatory projection neurons, and PV-expressing neurons and neuropil.
“This unique human dataset of interleaved Nissl staining, and NFP and PV immunolabeling in a whole hemisphere, allowed a complete parcellation based on variations in overall cell density, NFP immunolabeling of subsets of long‐range excitatory projection neurons, and PV‐expressing neurons and neuropil.”
Quote in the paperSubstantial claim - Findingreasoning
The ontology provides enhanced interlinking capabilities among a broad range of datasets including adult and developing human brain transcriptional atlases included in the Allen Brain Atlas.
“It also provides enhanced interlinking capabilities among a broad range of datasets including adult (Hawrylycz et al., 2012) and developing (Miller et al., 2014) human brain transcriptional atlases included in the Allen Brain Atlas (www.brain-map.org).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Hawrylycz et al., 2012
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- cites Miller et al., 2014
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- Findingown data
By comparison with the accompanying MRI plates, some white matter fiber tracts can be identified.
“By comparison with the accompanying MRI plates, some white matter fiber tracts can be identified.”
Quote in the paperNot a substantial claim - Findingown data
We have created a cellular resolution, comprehensively annotated atlas for an entire adult human brain hemisphere based on a combined analysis of cyto- and chemoarchitectures and modern literature.
“In summary, we have created a cellular resolution, comprehensively annotated atlas for an entire adult human brain hemisphere (Fig. 17) based on a combined analysis of cyto‐ and chemoarchitectures and modern literature.”
Quote in the paperSubstantial claim - Findingnone given
The current generation of both MRI and DWI data in the same specimen as the histological data allows the direct correlation of cytoarchitectural features with MRI features or landmarks.
“On the other hand, the current generation of both MRI and DWI data in the same specimen as the histological data allows the direct correlation of cytoarchitectural features with MRI features or landmarks.”
Quote in the paperSubstantial claim - Findingown data
Several clearly delineated fiber tracts are annotated, including the optic radiation at levels 42-69 and somatosensory radiation at levels 38-46.
“Several clearly delineated fiber tracts are annotated as well, including the optic radiation (“or” at levels 42–69) and somatosensory radiation (‘sr” at levels 38–46).”
Quote in the paperNot a substantial claim - Premisecitation
Neuroimaging data lack the cytoarchitectural resolution of single-brain histological reference atlases.
“they lack the cytoarchitectural resolution of single‐brain histological reference atlases (Evans et al., 2012; Caspers et al., 2013a)”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Evans et al., 2012
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- cites Caspers et al., 2013a
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- Interpretationown data
The atlas is the first digital human brain atlas to incorporate neuroimaging, high-resolution histology, and chemoarchitecture across a complete adult female brain.
“We present the first digital human brain atlas to incorporate neuroimaging, high‐resolution histology, and chemoarchitecture across a complete adult female brain”
Quote in the paperSubstantial claim- Rests on an assumption: A single adult female brain without neurological disease is representative of the adult human brain for the purpose of a reference atlas.
- Study design and conductown data
No staining was observed when the anti-PV antibody was used to stain cortical tissues from PV knockout mice.
“No staining was observed when the antibody was used to stain cortical tissues from PV knockout mice.”
Quote in the paperSubstantial claim - Premiseown data
Currently available large-scale histological reference atlases of the human brain vary substantially in their degree of brain coverage, information content, and structural annotation.
“Currently available large‐scale histological reference atlases of the human brain vary substantially in their degree of brain coverage, information content, and structural annotation (Table 1)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Table 1
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- Study design and conductreasoning
This strategy enabled adequate sampling of small but functionally critical structures such as the suprachiasmatic nucleus in the hypothalamus and the area postrema in the medulla.
“This strategy enabled adequate sampling of small but functionally critical structures such as the suprachiasmatic nucleus in the hypothalamus (Fig. 4) and the area postrema in the medulla.”
Quote in the paperSubstantial claim - Study design and conductcitation
The anti-PV antibody specifically stained the 1999Ca-binding 'spot' of PV (MW 12,000) from rat cerebellum on 2D immunoblot assays.
“This antibody specifically stained the 1999Ca‐binding “spot” of PV (MW 12,000) from rat cerebellum on 2D immunoblot assays (Celio et al., 1988)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Celio et al., 1988
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- Premisereasoning
Much of the more recent work is absent in these atlases.
“and much of the more recent work is absent in these atlases.”
Quote in the paperSubstantial claim - Premisecitation
The anti-PV antibody labels subsets of nonpyramidal neurons in cerebral cortex of many species including human.
“This antibody labels subsets of nonpyramidal neurons in cerebral cortex of many species including human (Hof et al., 1999; Nimchinsky et al., 1997; Ding and Van Hoesen, 2010, 2015).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Hof et al., 1999
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- cites Nimchinsky et al., 1997
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- cites Ding and Van Hoesen, 2010
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- Interpretationreasoning
The MG is so similar in signal intensity to the adjoining white matter that it would probably be misidentified as white matter if the extracted feature (high signal intensity) was not used.
“The MG is so similar in signal intensity to the adjoining white matter (consistently high signal intensity in T1‐weighted images) that it would probably be misidentified as white matter if the extracted feature (i.e., high signal intensity) was not used.”
Quote in the paperSubstantial claim - Study design and conductown data
Anatomical delineation for the 106 selected plates was based on a combined analysis of cyto- (Nissl stain) and chemoarchitecture (NFP and PV immunohistochemistry).
“Anatomical delineation for the 106 selected plates (Fig. 2H) was based on a combined analysis of cyto‐ (Nissl stain) and chemoarchitecture (NFP and PV immunohistochemistry).”
Quote in the paperSubstantial claim - Premisecitation
The relationship between cortical geometry and architectonic identity is variable across the cortex.
“and the relationship between cortical geometry and architectonic identity is variable across the cortex (Fischl et al., 2008).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fischl et al., 2008
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- Interpretationown data
Transposing the Nissl-based anatomical delineations into full 3D annotations registered to the accompanying MRI volume is challenging due to the incomplete and nonuniform sampling of those annotations.
“Transposing the Nissl‐based anatomical delineations into full 3D annotations registered to the accompanying MRI volume is challenging due to the incomplete and nonuniform sampling of those annotations.”
Quote in the paperSubstantial claim - Premisecitation
It is not currently possible to analyze large numbers of whole brains histologically and thus build a probabilistic histological atlas.
“It is not currently possible to analyze large numbers of whole brains histologically and thus build a probabilistic histological atlas, although strong efforts are under way to move in the direction of generating probabilistic histological reference atlases using standard histological (JuBrain; Caspers et al., 2013a) as well as novel imaging techniques (Magnain et al., 2014, 2015; Wang et al., 201”
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- cites Magnain et al., 2014, 2015
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- cites Wang et al., 2014
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- Premisecitation
All currently available human brain reference atlases lack some of the features of an ideal modern digital atlas.
“All currently available human brain reference atlases lack some of these features (see Table 1), mainly due to the large size and structural complexity of the human brain and the resource‐intensive and technology‐limiting nature of the endeavor (Amunts et al., 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Amunts et al., 2013
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- Interpretationreasoning
The combination of anatomic completeness, multimodal histological cellular-resolution imaging, modified Brodmann's areas delineations in neocortex, neuroimaging, and intuitive digital interactivity provides an advance over other current large-scale human brain atlases.
“This combination of anatomic completeness, multimodal histological cellular‐resolution imaging, modified Brodmann's areas delineations in neocortex, neuroimaging (Fig. 19), and intuitive digital interactivity provides an advance over other current large‐scale human brain atlases.”
Quote in the paperSubstantial claim - Interpretationreasoning
It is not realistically meaningful to map histological annotations from a single specimen directly into a probabilistic reference space, even with advances in techniques for deformable registration.
“Thus it is not realistically meaningful to map histological annotations from a single specimen directly into a probabilistic reference space, even with advances in techniques for deformable registration.”
Quote in the paperSubstantial claim - Premisecitation
Human brains exhibit a remarkable amount of interindividual variability, particularly in the gyri and sulci of the cerebral cortex.
“Furthermore, human brains exhibit a remarkable amount of interindividual variability, particularly in the gyri and sulci of the cerebral cortex (Mazziotta et al., 2001; Uylings et al., 2005; Toga et al., 2006; Amunts et al., 2007; Ding and Van Hoesen, 2010; Zilles and Amunts, 2010, 2013).”
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- cites Uylings et al., 2005
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- cites Toga et al., 2006
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- Interpretationreasoning
This dataset may allow feature extraction that can be applied to other brains to identify fine anatomical structures not otherwise identifiable, especially when higher resolution imaging techniques such as 9.4-Tesla MRI, optical coherence tomography, and polarized light microscopy become available.
“As we demonstrate, this dataset may thus allow feature extraction that can be applied to other brains to identify fine anatomical structures not otherwise identifiable, especially when higher resolution imaging techniques such as 9.4‐Tesla MRI, optical coherence tomography, and polarized light microscopy become available (Fatterpekar et al., 2002; Magnain et al., 2015; Zilles et al., 2016).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Fatterpekar et al., 2002
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- cites Magnain et al., 2015
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- cites Zilles et al., 2016
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- Classified as probably not a substantial claim. 33
- May combine two claims. 34
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe atlas is publicly accessible as a resource for the neuroscience community.
“and is publicly accessible as a resource for the neuroscience community.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingnone givenNeocortical delineations were done for sulci, gyri, and modified Brodmann areas to link macroscopic anatomical and microscopic cytoarchitectural parcellations.
“Neocortical delineations were done for sulci, gyri, and modified Brodmann areas to link macroscopic anatomical and microscopic cytoarchitectural parcellations.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
FindingreasoningWe used Brodmann's nomenclature as the primary reference because it is more commonly used, with modifications based on modern literature and the combined whole-brain large-scale cyto- and chemoarchitectural analysis here.
“We used Brodmann's nomenclature as the primary reference because it is more commonly used, with modifications based on modern literature (see below) and the combined whole‐brain large‐scale cyto‐ and chemoarchitectural analysis here.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataA total of 1,356 sections on 3- × 5-inch slides were digitized for this resource.
“A total of 1,356 sections on 3‐ × 5‐inch slides were digitized for this resource”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenWhere smaller subcortical structures are more abundant, a much denser sampling was used (0.4-1.0-mm interval).
“Where smaller subcortical structures are more abundant, a much denser sampling was used (0.4–1.0‐mm interval).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationFor the insular cortex, three major subdivisions were delineated: agranular, dysgranular, and granular insula, with the latter two further divided into rostral and caudal parts.
“Finally, for the insular cortex that was not numbered by Brodmann in human (1909; see Simić and Hof, 2015), three major subdivisions were delineated and these included agranular, dysgranular, and granular insula (e.g., Bauernfeind et al., 2013; Morel et al., 2013), with the latter two further divided into rostral and caudal parts.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Bauernfeind et al., 2013
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- cites Morel et al., 2013
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May combine two claims.
Findingown dataStructures from the ontology were delineated as polygons on each Nissl digital image, including both gyral and modified Brodmann areas of the neocortex.
“Structures from the ontology were delineated as polygons on each Nissl digital image (Fig. 2H), and these structures include both gyral (Fig. 2I1) and modified Brodmann areas (Fig. 2I2) of the neocortex.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenFor detailed anatomical delineation, 106 Nissl-stained sections were selected out of 679.
“For detailed anatomical delineation, 106 Nissl‐stained sections were selected out of 679.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Findingown dataThe ontology is fundamentally divided into the basic subdivisions of forebrain, midbrain, and hindbrain, further divided into four major branches comprising gray matter, white matter, ventricles, and surface features.
“The ontology is fundamentally divided into the basic subdivisions of forebrain, midbrain, and hindbrain, further divided into four major branches comprising gray matter, white matter, ventricles, and surface features.”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationWe created a whole-brain ontology spanning all adult structures and including a developmental axis for transient structures observed during specification and cytoarchitectural maturation.
“We created a whole‐brain ontology spanning all adult structures (Table 3) and including a developmental axis for transient structures observed during the specification and cytoarchitectural maturation (Miller et al. 2014).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Miller et al. 2014
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSampling intervals varied from 0.4 to 3.4 mm across the full anterior-posterior extent of the entire left hemisphere.
“Sampling intervals varied from 0.4 to 3.4 mm across the full anterior–posterior (A‐P) extent of the entire left hemisphere.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenSparser sampling (3.4 mm) was selectively applied to the most anterior (prefrontal) and posterior (occipital) cortical levels that primarily contain cortex and a few large subcortical structures.
“Sparser sampling (3.4 mm) was selectively applied to the most anterior (prefrontal) and posterior (occipital) cortical levels that primarily contain cortex and a few large subcortical structures.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe preparation appeared to result in a slight elongation of the brain.
“This preparation appeared to result in a slight elongation of the brain.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn situ hybridization data of acetylcholinesterase (ACHE) and neurotensin (NTS) are selectively enriched in MDam compared with the main part of the MD, supporting this partition.
“In situ hybridization data of both acetylcholinesterase (ACHE) and neurotensin (NTS) supports this partition, as they are selectively enriched in this region compared with the main part of the MD (Fig. 10B and inset).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the ventral temporal neocortex, the border between areas 36 and 20 can be more accurately defined with PV immunostaining than Nissl alone, as area 20 (20i) displays significantly stronger PV immunoreactivity than area 36.
“Similarly, in the ventral temporal neocortex, the border between areas 36 and 20 can be more accurately defined with PV immunostaining than Nissl alone, as area 20 (20i) displays significantly stronger PV immunoreactivity than area 36 (Fig. 5D,E).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe Pir has a dark and continuous layer 2 and a less darkly stained layer 3.
“In contrast, the Pir has a dark and continuous layer 2 and a less darkly stained layer 3.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the same brain, the medial geniculate nucleus (MG) has high and the dorsal lateral geniculate nucleus (DLG) low signal intensity on MRI.
“A comparison of the architecture‐based atlas (Fig. 14A) and the corresponding MRI plate (Fig. 14B) from the same brain shows that the MG has high and the DLG low signal intensity.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMany large pyramidal neurons in layer 5 of the primary motor cortex (M1C) are NFP-immunoreactive, while only a small number of medium-sized neurons are observed in that layer of the primary somatosensory cortex (S1C).
“For example, many large pyramidal neurons in layer 5 of the primary motor cortex (M1C; Fig. 6A) are NFP‐immunoreactive, while only a small number of medium‐sized neurons are observed in that layer of the primary somatosensory cortex (S1C; Fig. 6B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCompared with the Pir, the LOA lacks a dark, densely packed layer 2 on Nissl stain and has much stronger NFP immunoreactivity.
“Compared with the Pir, the LOA does not have a dark, densely packed layer 2 on Nissl stain and has much stronger NFP immunoreactivity.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe BIcb in the human brain is located deep to the medial interpositus nucleus (InPM; globose nucleus) of the cerebellum and consists of scattered large NFP-immunoreactive neurons.
“The BIcb in the human brain is located deep to the medial interpositus nucleus (InPM; globose nucleus) of the cerebellum and consists of scattered large NFP‐immunoractive neurons (Fig. 13).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe optic radiation and auditory radiation are clearly visible in the 7 T MRI images and can be followed for a long distance due to their darker appearance than the surrounding white matter.
“Some well‐known white matter tracts such as the optic radiation (“or” in Fig. 19, levels 42–69) and auditory radiation (“ar”) are clearly visible in the 7 T MRI images and can be clearly followed for a long distance due to their darker appearance than the surrounding white matter.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenA freely accessible online atlas browser was created to allow easy visualization and navigation.
“A freely accessible online atlas browser was created to allow easy visualization and navigation, and the resource is integrated with other human brain cellular resolution gene expression and transcriptomic atlases (Hawrylycz et al., 2012; Miller et al., 2014).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningTogether, this comprehensive ontology covers all brain regions and can be used interactively to browse and search delineated structure polygons.
“Together, this comprehensive ontology covers all brain regions and can be used interactively to browse and search delineated structure polygons.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe inferior parietal area (rostrodorsal area 40) has a narrower band of superficial layer labeling and a stronger bilaminar pattern.
“In contrast, the inferior parietal area (rostrodorsal area 40 [area 40rd], located posterior to S1C; Fig. 6C), has a narrower band of superficial layer labeling and a stronger bilaminar pattern.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIndividual Nissl plates can be matched to corresponding planes of the MRI data, allowing identification of features of specific structures that can then be mapped onto MRI data from other brains without accompanying architecture-based delineations.
“However, individual Nissl plates can be matched to corresponding planes of the MRI data to allow the identification of features of specific structures that can then be mapped onto MRI data from other brains without accompanying architecture‐based delineations.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataA new area, the lateral olfactory area (LOA), runs along the side of the lateral olfactory stria, medial to the piriform cortex (Pir) and lateral to the substantia innominata (SI), and has distinct histological features from the neighboring Pir and SI.
“Another new area was identified running along the side of lateral olfactory stria, situated medially to the piriform cortex (Pir) and laterally to the substantia innominata (SI). This was termed the lateral olfactory area (LOA) and was found to have distinct histological features from the neighboring Pir and SI (Fig. 11).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDark NFP and PV immunoreactivity highlights SuS and PrSc, respectively, and these complementary and corroborating data allowed a consensus digital annotation of these regions.
“Dark NFP and PV immunoreactivity highlights SuS and PrSc, respectively, and these complementary and corroborating data allowed a consensus digital annotation of these regions (Fig. 5C).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe SI does not display laminar organization, while the LOA has a clear but discontinuous layer 2 and one deep layer.
“The SI does not display laminar organization, while the LOA has a clear but discontinuous layer 2 and one deep layer.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningAt level 40 of Figure 19, the callosal and cingulate bundles, superior longitudinal fasciculus (slf-m, slf-I, and slf-l), and somatosensory radiation can be easily localized with the guide of the annotated MRI atlas.
“For example, at level 40 of Figure 19, the callosal and cingulate bundles, superior longitudinal fasciculus (slf‐m, slf‐I, and slf‐l), and somatosensory radiation can be easily localized with the guide of the annotated MRI atlas.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningCorrelated neuroimaging and histological structural delineation allowed fine feature identification in MRI data and subsequent structural identification in MRI data from other brains.
“Correlated neuroimaging and histological structural delineation allowed fine feature identification in MRI data and subsequent structural identification in MRI data from other brains.”
Quote in the paperSubstantial claim- Rests on an assumption: Anatomical delineations and annotations based on this one brain can be transferred to MRI data from other brains.
May combine two claims.
PremisecitationInterpretation of neuroimaging data relies heavily on anatomical reference atlases for localization of underlying anatomical partitions and provides a common framework for communicating within and across allied disciplines.
“Interpretation of these data relies heavily on anatomical reference atlases for localization of underlying anatomical partitions, which also provides a common framework for communicating within and across allied disciplines”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Mazziotta et al., 2001
Not checked in the free run.
- cites Toga et al., 2006
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- cites Evans et al., 2012
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNeuroimaging data are typically registered to probabilistic reference frameworks to deal with interindividual variation.
“While neuroimaging data are typically registered to probabilistic reference frameworks (Das et al., 2016) to deal with interindividual variation”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Das et al., 2016
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAdditional efforts have used ultra-high-resolution MRI of ex vivo brains to build intrinsically 3D models of cytoarchitectural boundaries, and quantify the predictive power of macroscopic features for localizing microscopically defined boundaries.
“Additional efforts have used ultra‐high‐resolution MRI of ex vivo brains to build intrinsically 3D models of cytoarchitectural boundaries, and quantify the predictive power of macroscopic features for localizing microscopically defined boundaries”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Augustinack et al., 2005
Not checked in the free run.
- cites Fischl et al., 2008
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- cites Iglesias et al., 2015
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Study design and conductown dataThe brain used for this reference atlas was from a 34-year-old female donor with no history of neurological diseases or remarkable brain abnormality.
“The brain used for this reference atlas was from a 34‐year‐old female donor with no history of neurological diseases or remarkable brain abnormality obtained from the University of Maryland Brain and Tissue Bank”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe anti-NFP antibody (SMI-32) is a mouse monoclonal IgG1 recognizing a double band at MW 200,000 and 180,000, which merge into a single neurofilament H line on 2D blots.
“The antibody against NFP (BioLegend, Cat.# SMI‐32, RRID: AB_2314904) is a mouse monoclonal IgG1 recognizing a double band at MW 200,000 and 180,000, which merge into a single neurofilament H line on 2D blots (Sternberger and Sternberger, 1983)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sternberger and Sternberger, 1983
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThese artifacts are easily identifiable but should not be confused with structural features of the underlying tissues.
“In general these artifacts are easily identifiable but should not be confused with structural features of the underlying tissues.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA 3D model of an adult human brain based on whole-brain serial sectioning, silver staining, and MRI was recently created.
“a 3‐dimensional (3D) model of an adult human brain based on whole‐brain serial sectioning, silver staining, and MRI (Amunts et al., 2013) was recently created”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Amunts et al., 2013
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThere is a strong need to bridge these levels of resolution to understand structure-function relationships in the human brain.
“There is therefore a strong need to bridge these levels of resolution to understand structure–function relationships in the human brain (Caspers et al., 2013a; Pascual et al., 2015).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Caspers et al., 2013a
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- cites Pascual et al., 2015
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Study design and conductnone givenAll work was performed according to guidelines for the research use of human brain tissue and with approval by the Human Investigation Committees and Institutional Ethics Committees of the University of Maryland, the institution from which the sample was obtained.
“All work was performed according to guidelines for the research use of human brain tissue and with approval by the Human Investigation Committees and Institutional Ethics Committees of the University of Maryland, the institution from which the sample was obtained.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe most commonly used cytoarchitecture-based human brain atlas is Brodmann's cortical map.
“The most commonly used cytoarchitecture‐based human brain atlas is Brodmann's cortical map (Brodmann, 1909; Talairach and Tournoux, 1988; Simić and Hof, 2015)”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Brodmann, 1909
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- cites Talairach and Tournoux, 1988
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- cites Simić and Hof, 2015
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PremisecitationA probabilistic cytoarchitectural atlas (JuBrain) is being generated.
“and a probabilistic cytoarchitectural atlas (JuBrain; see Caspers et al., 2013a) is also being generated.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Caspers et al., 2013a
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Study design and conductreasoningCertain artifacts in the tissue sections are present, including large cracks through most of the section in some cases as well as smaller tears in white and gray matter structures.
“Due to the challenges of sectioning and mounting thin sections from complete hemispheres, certain artifacts in the tissue sections are present. These artifacts include large cracks through most of the section in some cases as well as smaller tears in white and gray matter structures.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisereasoningThe staining of these specimens is limited, the imaging of the histology data currently lacks cellular resolution, and detailed annotation or parcellation of all brain regions based on cytoarchitecture remains to be performed.
“However, the staining of these specimens is limited, the imaging of the histology data currently lacks cellular resolution, and detailed annotation or parcellation of all brain regions based on cytoarchitecture remains to be performed.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn human and monkey cerebral cortex, the anti-NFP antibody stains a subpopulation of large pyramidal neurons with labeling largely restricted to dendritic processes and soma.
“In human and monkey cerebral cortex, the antibody stains a subpopulation of large pyramidal neurons with the labeling largely restricted to dendritic processes and soma (Campbell and Morrison, 1989; Hof et al., 1995a, 1995b; Nimchinsky et al., 1997; Ding et al., 2003, 2009).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Campbell and Morrison, 1989
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- cites Hof et al., 1995a
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- cites Ding et al., 2009
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Probably not a substantial claim: may not pass S2 (checkable).
PremisereasoningCytoarchitectural resolution is essential for more detailed studies of structural and cellular organization of the brain.
“which is essential for more detailed studies of structural and cellular organization of the brain.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Premisenone givenAn essential component of modern interactive digital atlases is a unifying hierarchical structural ontology that provides unique IDs (and colors for representation) for each structure in a parent-child architecture.
“An essential component of modern interactive digital atlases is a unifying hierarchical structural ontology that provides unique IDs (and colors for representation) for each structure in a parent–child architecture.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe immunostaining of sections through human temporal cortex produced a pattern of NFP labeling that was identical to previous descriptions.
“The immunostaining of sections through human temporal cortex produced a pattern of NFP labeling that was identical to previous descriptions (Ding et al., 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ding et al., 2009
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenA subset of Nissl-stained sections was selected for detailed anatomical delineation with sampling density higher in regions with greater structural complexity.
“A subset of Nissl‐stained sections was selected for detailed anatomical delineation with sampling density higher in regions with greater structural complexity.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataMacroscopic landmarks (cortical sulci and gyri) were used as guides to match histological and MRI planes of section, and local topography was used to label identifiable structures including all neocortical areas and major subcortical regions.
“Macroscopic landmarks such as cortical sulci and gyri were used as guides to match histological and MRI planes of section, and local topography was used (e.g. see Figs. 14, 15) to label identifiable structures including all neocortical areas and major subcortical regions.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataIn this 7 T MRI dataset, the sr stands out from surrounding white matter like the optic and auditory radiations, and thus deserves an independent term (somatosensory radiation).
“In this 7 T MRI dataset, like the “or” and “ar,” the “sr” is observed to stand out from surrounding white matter and thus deserves an independent term (i.e., somatosensory radiation) as do optic and auditory radiations.”
Quote in the paperSubstantial claim- Rests on an assumption: The somatosensory radiation is normally treated as part of the superior radiation in the literature and mainly originates from the ventroposterior lateral nucleus of the thalamus and targets the primary somatosensory cortex.
Classified as probably not a substantial claim. May combine two claims.
Premisenone givenThe somatosensory radiation is normally treated as part of the superior radiation in the literature and mainly originates from the ventroposterior lateral nucleus of the thalamus and targets the primary somatosensory cortex.
“The “sr” is normally treated as part of the superior radiation in the literature and mainly originates from the ventroposterior lateral nucleus of the thalamus and targets the primary somatosensory cortex.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
PremisecitationBrain reference atlases are essential resources for neuroscience research, serving to identify and annotate the complex anatomical architecture of the brain and allow communication across laboratories and various research disciplines attempting to link structure to function.
“Brain reference atlases are essential resources for neuroscience research, serving to identify and annotate the complex anatomical architecture of the brain and allow communication across laboratories and various research disciplines attempting to link structure to function (Fischl et al., 1999; Toga et al., 2006; Amunts et al., 2007; Evans et al., 2012).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Fischl et al., 1999
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- cites Toga et al., 2006
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- cites Amunts et al., 2007
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAPro has been described in detail in macaque monkey and is important for fast processing of peripheral vision.
“It has been described in detail in macaque monkey (Morecraft et al., 2000; Ding et al., 2003) and is important for fast procession of peripheral vision (Yu et al., 2012).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Morecraft et al., 2000
Not checked in the free run.
- cites Ding et al., 2003
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- cites Yu et al., 2012
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May combine two claims.
PremisecitationOne brain may have area 35 located in the medial bank of a deep collateral sulcus, while another may have its area 35 in the lateral bank of a shallow collateral sulcus, or even the crown of the anterior fusiform gyrus.
“For instance, one brain may have area 35 located in the medial bank of a deep collateral sulcus (CoS), while another may have its area 35 in the lateral bank of a shallow CoS, or even the crown of the anterior fusiform gyrus (Ding and Van Hoesen, 2010).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ding and Van Hoesen, 2010
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InterpretationreasoningThis versatile and publicly accessible resource gives a range of users a means to learn, teach, and investigate human brain structure and function, including the diagnosis and treatment of brain disease.
“This versatile and publicly accessible resource gives a range of users a means to learn, teach, and investigate human brain structure and function, including the diagnosis and treatment of brain disease.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
A single adult female brain without neurological disease is representative of the adult human brain for the purpose of a reference atlas.
“The brain used for this reference atlas was from a 34‐year‐old female donor with no history of neurological diseases or remarkable brain abnormality”
The paper relies on this without support.
Anatomical delineations and annotations based on this one brain can be transferred to MRI data from other brains.
“Correlated neuroimaging and histological structural delineation allowed fine feature identification in MRI data and subsequent structural identification in MRI data from other brains.”
The paper relies on this without support.
The homologs of MDam and BMm in other species have not been reported.
“The homologs of MDam and BMm in other species have not been reported.”
The paper relies on this without support.
The exact location and extent of area prostriata in the human brain has not been reported in detail so far.
“Although its existence in the human brain was briefly described, its exact location and extent has not been reported in detail so far.”
The paper relies on this without support.
The somatosensory radiation is normally treated as part of the superior radiation in the literature and mainly originates from the ventroposterior lateral nucleus of the thalamus and targets the primary somatosensory cortex.
“The “sr” is normally treated as part of the superior radiation in the literature and mainly originates from the ventroposterior lateral nucleus of the thalamus and targets the primary somatosensory cortex.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The anatomical boundaries of the five ROIs were confirmed by comparison to the most detailed and up-to-date atlas of the human brain.
“compared to the most detailed and up-to-date atlas of the human brain52 to confirm the anatomical boundaries of our five ROI”
From Effect of age and autism spectrum disorder on oxytocin receptor density in the human basal forebrain and midbrain (2018) · cites this paper as [52]
Acetylcholinesterase stains were compared to human and rhesus macaque atlases to define anatomical boundaries.
“Acetylcholinesterase stains were compared to both human (Ding et al. 2016) and rhesus macaque atlases (Paxinos et al. 2000) to define anatomical boundaries.”
From Distribution of brain oxytocin and vasopressin V1a receptors in chimpanzees (Pan troglodytes): comparison with humans and other primate species (2022) · cites this paper as Ding et al. 2016
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Anti-NFP antibody dilution differs between methods and Table 2
MinorThe methods give the SMI-32 dilution as 1:3,000, while Table 2 lists 1:5,000 for the same antibody.
“antibody SMI‐32 (1:3,000, BioLegend, San Diego, CA)”
“| Anti‐NFP | Nonphosphorylated epitopes on the medium and heavy subunits of the neurofilament triplet proteins | BioLegend, Cat.# SMI‐32, RRID: AB_2314904 | Mouse monoclonal IgG1 | 1:5,000 |”
Reported section dimensions cannot fit on the stated slides
MinorA section described as approximately 3.2 × 4.3 metres cannot be mounted on a 3 × 5 inch slide. The dimension or its unit is inconsistent with the stated slide size.
“a single section (representative dimension: ∼3.2 × 4.3 m) typically took 6–8 hours to complete.”
“A total of 1,356 sections on 3‐ × 5‐inch slides were digitized for this resource”
Figure 2 cortical-map labels are reversed
MinorThe Figure 2 caption assigns modified Brodmann areas to I1 and the gyral map to I2, but the results text assigns them the other way around.
“I: Interactive color‐coded digital atlas with both modified Brodmann (I1) and traditional gyral (I2) cortical maps.”
“these structures include both gyral (Fig. 2I1) and modified Brodmann areas (Fig. 2I2) of the neocortex.”
Figure 6 references swap the nerve-root and commissure panels
MinorThe results cite panel G for motor roots and panel F for the inferior-colliculus commissure. The Figure 6 caption identifies F as a nerve-root panel and G as the commissure panel.
“Motor roots of the cranial nuclei in the brainstem are clearly delineated by NFP staining (Figs. 6E, G, 7A). PV immunoreactivity shows similar discernment of a variety of fiber tracts and trajectories, such as the commissure of the inferior colliculus (Fig. 6F)”
“E,F: NFP is observed in select white matter tracts in the brainstem including the facial (r7 in E) and trochlear (r4 in F) nerve roots. 6N, abducens nucleus; r7, facial nerve root; x4, decussation of trochlear nerve roots (r4 in F). G: PV is selectively expressed in the commissure of the inferior colliculus (cmic).”
Figure 17 repeats section 05_047 at levels 44 and 65
MinorThe same section identifier appears at two widely separated anterior-to-posterior levels. Level 65 also falls among entries identified as slab 06 rather than slab 05.
“Figure: Figure 17 Level 65a (05_047)”
“Figure: Figure 17 Level 44a (05_047)”
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An anatomically comprehensive atlas of the adult human brain transcriptome
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A probabilistic MR atlas of the human cerebellum
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“Although routine standard histology is limited to small pieces of the human brain (typically a tissue section is ~1/10,000,000 of the whole brain volume), there still have been efforts to perform it for whole human brain mapping (Amunts et al., 2013; Ding et al., 2016).”
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Transcriptomic cytoarchitecture reveals principles of human neocortex organization
Jorstad, N. L., Close, J., Johansen, N., Yanny, A. M., Barkan, E. R., Travaglini, K. J., Bertagnolli, D., Campos, J., Casper, T., Crichton, K., et al. (2023) · Science · doi:10.1126/science.adf6812 · Cited by 209 · see citing works
Self-citationAdler, D. H., Wisse, L. E. M., Ittyerah, R., Pluta, J. B., Ding, S., Xie, L., Wang, J., Kadivar, S., Robinson, J. L., Schuck, T., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1801093115 · Cited by 200 · see citing works
“The neuroanatomy literature defines cytoarchitecturally and con-nectomically distinct subfields of the hippocampus (1 – 3), which are believed to be differentially involved in memory functions (4) and to be selectively affected by Alzheimer ’ s disease (AD), aging, epilepsy, and other disorders (5).”
BackgroundSelf-citationLayer-dependent activity in human prefrontal cortex during working memory
Finn, E. S., Huber, L., Jangraw, D. C., Molfese, P. J., & Bandettini, P. A. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0487-z · Cited by 192 · see citing works
A survey of methods for 3D histology reconstruction
Pichat, J., Iglesias, J. E., Yousry, T., Ourselin, S., & Modat, M. (2018) · Medical Image Analysis · doi:10.1016/j.media.2018.02.004 · Cited by 207 · see citing works
“One can also derive more accurate segmentations of architectonic boundaries to be used in the creation of atlases (Ding et al., 2016; Oh et al., 2014; Amunts et al., 2013; Hawrylycz et al., 2012; Yushkevich et al., 2009) as well as brain mapping (Amunts and Zilles, 2015).”
Topographic organization of the cerebral cortex and brain cartography
Eickhoff, S. B., Constable, R. T., & Yeo, B. T. T. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.018 · Cited by 178 · see citing works
LayNii: A software suite for layer-fMRI
Huber, L., Poser, B. A., Bandettini, P. A., Arora, K., Wagstyl, K., Cho, S., Goense, J. B. M., Nothnagel, N., Morgan, A., van den Hurk, J., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118091 · Cited by 152 · see citing works
χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain
Shin, H., Lee, J., Yun, Y. H., Yoo, S. H., Jang, J., Oh, S., Nam, Y., Jung, S., Kim, S., Fukunaga, M., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118371 · Cited by 2 · see citing works
A comparative atlas of single-cell chromatin accessibility in the human brain
Li, Y. E., Preissl, S., Miller, M., Johnson, N. D., Wang, Z., Jiao, H., Zhu, C., Wang, Z., Xie, Y., Poirion, O., et al. (2023) · Science · doi:10.1126/science.adf7044 · Cited by 173 · see citing works
“We dissected 42 brain regions from the human cortex (CTX), hippocampus (HIP), basal nuclei (BN), midbrain (MB), thalamus (THM), cerebellum (CB), and pons (PN) [according to the Allen Brain Reference Atlas (27)] from three neurotypical male donors (D1, D2, and D4), ages 29, 42, and 58, respectively (Fig.”
MethodInfluentialSelf-citationA protocol for manual segmentation of medial temporal lobe subregions in 7 Tesla MRI
Berron, D., Vieweg, P., Hochkeppler, A., Pluta, J. B., Ding, S., Maass, A., Luther, A., Xie, L., Das, S. R., Wolk, D. A., et al. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.05.022 · Cited by 148 · see citing works
Self-citationParcellating Cerebral Cortex: How Invasive Animal Studies Inform Noninvasive Mapmaking in Humans
Essen, D. C. V., & Glasser, M. F. (2018) · Neuron · doi:10.1016/j.neuron.2018.07.002 · Cited by 137 · see citing works
A tripartite view of the posterior cingulate cortex
Foster, B. L., Koslov, S. R., Aponik-Gremillion, L., Monko, M. E., Hayden, B. Y., & Heilbronner, S. R. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00661-x · Cited by 150 · see citing works
“The human RSC shows a highly similar organization, with the possible exception of area 30, which may partially extend out of the callosal sulcus and onto the most ventral aspect of the medial surface (termed the isthmus) where the posterior cingulate gyrus transitions into the parahippocampal gyrus (see refs.(17,56,25…”
BackgroundVisualizing anatomically registered data with brainrender
Claudi, F., Tyson, A. L., Petrucco, L., Margrie, T. W., Portugues, R., & Branco, T. (2021) · eLife · doi:10.7554/elife.65751 · Cited by 135 · see citing works
From whole-mount to single-cell spatial assessment of gene expression in 3D
Waylen, L. N., Nim, H. T., Martelotto, L. G., & Ramialison, M. (2020) · Communications Biology · doi:10.1038/s42003-020-01341-1 · Cited by 136 · see citing works
“Previously, the Allen Mouse Brain Atlas constructed by the Allen Institute for Brain Sciences 14 integrated bulk and computational methods with in situ hybridisation gene expression data, later accompanied by human and macaque atlases 15,16 .”
MethodEwert, S., Horn, A., Finkel, F., Li, N., Kühn, A. A., & Herrington, T. M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.061 · Cited by 132 · see citing works
Microstructural imaging of human neocortex in vivo
Edwards, L., Kirilina, E. P., Mohammadi, S., & Weiskopf, N. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.055 · Cited by 122 · see citing works
Huber, L., Finn, E. S., Handwerker, D. A., Bönstrup, M., Glen, D., Kashyap, S., Ivanov, D., Petridou, N., Marrett, S., Goense, J. B. M., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116463 · Cited by 126 · see citing works
Middlebrooks, E. H., Domingo, R. A., Vivas-Buitrago, T. G. M., Okromelidze, L., Tsuboi, T., Wong, J. K., Eisinger, R. S., Almeida, L., Burns, M. R., Horn, A., et al. (2020) · American Journal of Neuroradiology · doi:10.3174/ajnr.a6693 · Cited by 134 · see citing works
“The authors reported “a distinct media-lateral organization of, respectively, the ATR and MFB within the vALIC [ventral ALIC]”; however, the MFB does not traverse the ALIC and is ventral to ATR, not lateral (Fig 5).(63,64) Given the described anatomy of the slMFB and DBS response, it is possible that these fibers with…”
BackgroundSignature morphoelectric properties of diverse GABAergic interneurons in the human neocortex
Lee, B. R., Dalley, R., Miller, J. A., Chartrand, T., Close, J., Mann, R., Mukora, A., Ng, L., Alfiler, L., Baker, K., et al. (2023) · Science · doi:10.1126/science.adf6484 · Cited by 125 · see citing works
“Available surgical photodocumentation (MRI or brainmodel annotation) is used to place the human tissue blocks in approximate 3D space by matching the photodocumentation to a MRI reference brain volume “ICBM2009bNonlinear Symmetric” (73), with Human CCF overlayed (74) within the ITK-SNAP interactive software.”
MethodSelf-citationRecent progress in translational engineered in vitro models of the central nervous system
Nikolakopoulou, P., Rauti, R., Voulgaris, D., Shlomy, I., Maoz, B. M., & Herland, A. (2020) · Brain · doi:10.1093/brain/awaa268 · Cited by 128 · see citing works
“The human brain consists of more than 250 different brain regions (Ding et al. , 2016), which have a highly specialized ECM (Dauth et al. , 2016), architecture and functionality (Novak and Kaye, 2000; Lau et al. , 2013; Dauth et al. , 2016).”
Toward a Common Terminology for the Thalamus
Mai, J. K., & Majtanik, M. (2019) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2018.00114 · Cited by 113 · see citing works
“None of these terms refers only to the subependymal or periventricular site of the third ventricle but includes also adjacent areas (Rose, 1942; Van Buren and Borke, 1972; Morel et al., 1997; Krauth et al., 2010; Ding et al., 2016).”
BackgroundInfluentialAnatomical structures, cell types and biomarkers of the Human Reference Atlas
Börner, K., Teichmann, S. A., Quardokus, E. M., Gee, J. C., Browne, K., Osumi-Sutherland, D., Herr, B. W., Bueckle, A., Paul, H., Haniffa, M. A., et al. (2021) · Nature Cell Biology · doi:10.1038/s41556-021-00788-6 · Cited by 111 · see citing works
“In the following sections, we provide four examples illustrating the value of the tables and associated 3D reference organs: (1) to support experimental tissue data registration and annotation across organs and scales (see the next section); (2) to compare and integrate data from different assay types (see the ‘Compar…”
MethodSelf-citationNeuronal vulnerability in Parkinson disease: Should the focus be on axons and synaptic terminals?
Wong, Y. C., Luk, K. C., Purtell, K., Burke, S., Stoessl, A. J., Trudeau, L., Yue, Z., Krainc, D., Oertel, W. H., Obeso, J. A., et al. (2019) · Movement Disorders · doi:10.1002/mds.27823 · Cited by 123 · see citing works
Connectomic deep brain stimulation for obsessive-compulsive disorder
Baldermann, J. C., Schüller, T., Kohl, S., Voon, V., Li, N., Hollunder, B., Figee, M., Haber, S. N., Sheth, S. A., Mosley, P. E., et al. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.07.010 · Cited by 118 · see citing works
“However, anatomy textbooks of the human brain (44), histological atlases (45,46), and a recent anatomical review of brain regions relevant for OCD DBS (21) confirm that the MFB is not part of the internal capsule (Figure 4).”
BackgroundThe Subcortical Atlas of the Rhesus Macaque (SARM) for neuroimaging
Hartig, R., Glen, D., Jung, B., Logothetis, N. K., Paxinos, G., Garza‐Villarreal, E. A., Messinger, A., & Evrard, H. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117996 · Cited by 95 · see citing works
Smith, J. B., Alloway, K. D., Hof, P. R., Orman, R., Reser, D. H., Watakabe, A., & Watson, G. D. R. (2018) · The Journal of Comparative Neurology · doi:10.1002/cne.24537 · Cited by 97 · see citing works
“It is likely that the “endopiriform nucleus” has been classified into the amygdaloid complex in some studies (Ding et al., 2016; Kordower et al., 1992; Kritzer et al., 1988), because it contained the VEn, which should be regarded as entirely different from the CLA–DEn complex.”
BackgroundInfluentialMapping the human subcortical auditory system using histology, postmortem MRI and in vivo MRI at 7T
Sitek, K. R., Gülban, Ö. F., Calabrese, E., Johnson, G. A., Lage‐Castellanos, A., Moerel, M., Ghosh, S., & Martino, F. D. (2019) · eLife · doi:10.7554/elife.48932 · Cited by 90 · see citing works
Debates on the dorsomedial prefrontal/dorsal anterior cingulate cortex: insights for future research
Clairis, N., & Lopez‐Persem, A. (2023) · Brain · doi:10.1093/brain/awad263 · Cited by 97 · see citing works
Freeman, S. M., Palumbo, M. C., Lawrence, R. H., Smith, A. L., Goodman, M. M., & Bales, K. L. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0315-3 · Cited by 82 · see citing works
Big Science, Team Science, and Open Science for Neuroscience
Koch, C., & Jones, A. R. (2016) · Neuron · doi:10.1016/j.neuron.2016.10.019 · Cited by 88 · see citing works
“These massive online resources are complemented by a mesoscopic mouse connectivity atlas (Oh et al., 2014) and a cellular-resolution (1 mm/pixel) annotated atlas of an adult human brain (Ding et al., 2016).”
BackgroundBrainGlobe Atlas API: a common interface for neuroanatomical atlases
Claudi, F., Petrucco, L., Tyson, A. L., et al. (2020) · The Journal of Open Source Software · doi:10.21105/joss.02668 · Cited by 94 · see citing works
“Currently six atlases across three species (larval zebrafish, mouse and human) are available (Chon, Vanselow, Cheng, & Kim, 2019; Ding et al., 2016; Kunst et al., 2019; Wang et al., 2020), with work underway to add further atlases (e.g. rat, drosophila).”
BackgroundMiller, J. A., Voorhies, W. I., Lurie, D. J., D’Esposito, M., & Weiner, K. S. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2362-20.2021 · Cited by 82 · see citing works
Chartrand, T., Dalley, R., Close, J., Goriounova, N. A., Lee, B. R., Mann, R., Miller, J. A., Molnar, G., Mukora, A., Alfiler, L., et al. (2023) · Science · doi:10.1126/science.adf0805 · Cited by 88 · see citing works
Self-citationDing, S.-L., Yao, Z., Hirokawa, K. E., Nguyen, T. N., Graybuck, L. T., Fong, O., Bohn, P., Ngo, K., Smith, K. A., Koch, C., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107648 · Cited by 82 · see citing works
Dalton, M. A., D’Souza, A., Lv, J., & Calamante, F. (2022) · eLife · doi:10.7554/elife.76143 · Cited by 83 · see citing works
“Schematic representations were taken from the Allen Adult Human Brain Atlas website (https://atlas.brain-map.org/; Ding et al., 2016; Allen Institute for Brain Science, 2004).”
Dopamine and the interdependency of time perception and reward
Fung, B. J., Sutlief, E., & Shuler, M. G. H. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.030 · Cited by 79 · see citing works
Functional neuroanatomical review of the ventral tegmental area
Trutti, A. C., Mulder, M., Hommel, B., & Forstmann, B. U. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.062 · Cited by 90 · see citing works
Hemispheric asymmetries in the amygdala: A comparative primer
Ocklenburg, S., Peterburs, J., & Mundorf, A. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102283 · Cited by 84 · see citing works
Haast, R. A. M., Ivanov, D., Formisano, E., & Uludaǧ, K. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00112 · Cited by 78 · see citing works
“…highest correlations are observed between the Frontiers in Neuroanatomy | www.frontiersin.org 9 November 2016 | Volume 10 | Article 112 WM/GM border and mid-thickness level, but the correlation decreases strong when moving toward the GM/CSF border for R1 (or T1w) vs. T2∗ (or T2∗w, see Figure 7B).”
BackgroundA unified 3D map of microscopic architecture and MRI of the human brain
Alkemade, A., Bazin, P., Balesar, R. A., Pine, K., Kirilina, E. P., Möller, H. E., Trampel, R., Kros, J. M., Keuken, M. C., Bleys, R. L. A. W., et al. (2022) · Science Advances · doi:10.1126/sciadv.abj7892 · Cited by 72 · see citing works
Disruption of the ascending arousal network in acute traumatic disorders of consciousness
Snider, S. B., Bodien, Y. G., Bianciardi, M., Brown, E. N., Wu, O., & Edlow, B. L. (2019) · Neurology · doi:10.1212/wnl.0000000000008163 · Cited by 81 · see citing works
Menon, V., Gallardo, G., Pinsk, M. A., Nguyen, V.-D., Li, J., Cai, W., & Wassermann, D. (2020) · eLife · doi:10.7554/elife.53470 · Cited by 79 · see citing works
Progress update from the hippocampal subfields group
Olsen, R. K., Carr, V. A., Daugherty, A. M., Joie, R. L., Amaral, R. S. C., Amunts, K., Augustinack, J. C., Bakker, A., Bender, A. R., Berron, D., et al. (2019) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2019.04.001 · Cited by 67 · see citing works
“, CA4 is a separate hippocampal subfield according to Duvernoy [26,27] and Ding et al [37,38], whereas R.”
Self-citationPearl, J. R., Colantuoni, C., Bergey, D. E., Funk, C. C., Shannon, P. T., Basu, B., Casella, A. M., Oshone, R. T., Hood, L., Price, N. D., et al. (2019) · Cell Systems · doi:10.1016/j.cels.2019.01.002 · Cited by 60 · see citing works
A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images
Greve, D. N., Billot, B., Cordero, D., Hoopes, A., Hoffmann, M., Dalca, A. V., Fischl, B. R., Iglesias, J. E., & Augustinack, J. C. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118610 · Cited by 80 · see citing works
“Neuroanatomy structures: We used several neuroanatomical publications and references to guide our anatomical delineation ( L. Heimer, 2008 ; Mai et al., 2004 ; Ding et al., 2016 ; Edlow et al., 2018 ; Haines, 2007 ).”
MethodBrown, S. S. G., Rutland, J. W., Verma, G., Feldman, R. E., Alper, J., Schneider, M., Delman, B. N., Murrough, J., & Balchandani, P. (2019) · Scientific Reports · doi:10.1038/s41598-019-46687-7 · Cited by 75 · see citing works
Incentive motivation: ‘wanting’ roles of central amygdala circuitry
Warlow, S. M., & Berridge, K. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113376 · Cited by 64 · see citing works
Spatial transcriptomics reveals human cortical layer and area specification
Qian, X., Coleman, K., Jiang, S., Kriz, A. J., Marciano, J. H., Luo, C., Cai, C., Manam, M. D., Caglayan, E., Lai, A., et al. (2025) · Nature · doi:10.1038/s41586-025-09010-1 · Cited by 96 · see citing works
García‐Cabezas, M. Á., Hacker, J. L., & Zikopoulos, B. (2020) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2020.576015 · Cited by 69 · see citing works
“On the other hand, area prostriata (Figure 7C), a visual area in the occipital lobe adjacent to the hippocampal formation (Ding et al., 2016), had the simplest laminar architecture comparable to Agranular and Dysgranular areas in the pOFC (Figures 2C,D) and the ACC (Figures 4C,E).”
BackgroundNovello, M., Bosman, L. W. J., & Zeeuw, C. I. D. (2022) · The Cerebellum · doi:10.1007/s12311-022-01499-w · Cited by 74 · see citing works
Pallebage‐Gamarallage, M. M., Foxley, S., Menke, R., Huszár, I. N., Jenkinson, M., Tendler, B. C., Wang, C., Jbabdi, S., Turner, M. R., Miller, K. L., et al. (2018) · BMC Neuroscience · doi:10.1186/s12868-018-0416-1 · Cited by 63 · see citing works
Relationship between nuclei-specific amygdala connectivity and mental health dimensions in humans
Klein-Flügge, M. C., Jensen, D. E. A., Takagi, Y., Priestley, L., Verhagen, L., Smith, S. M., & Rushworth, M. F. S. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01434-3 · Cited by 64 · see citing works
Altered hippocampus and amygdala subregion connectome hierarchy in major depressive disorder
Jacob, Y., Morris, L. S., Verma, G., Rutter, S., Balchandani, P., & Murrough, J. W. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-01976-0 · Cited by 62 · see citing works
Principles and open questions in functional brain network reconstruction
Korhonen, O., Zanin, M., & Papo, D. (2021) · Human Brain Mapping · doi:10.1002/hbm.25462 · Cited by 56 · see citing works
Hippocampal circuit dysfunction in psychosis
Knight, S., McCutcheon, R. A., Dwir, D., Grace, A. A., O’Daly, O., McGuire, P. K., & Modinos, G. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02115-5 · Cited by 58 · see citing works
“This will include not only multi-modal imaging but also the integration of genetic [242] and other neurobiological information [243] in the modelling of the dysfunction.”
BackgroundA role for the cerebellum in motor-triggered alleviation of anxiety
Zhang, X., Wu, W.-X., Shen, L.-P., Ji, M., Zhao, P., Yu, L., Yin, J., Xie, S.-T., Xie, Y.-Y., Zhang, Y.-X., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.01.007 · Cited by 70 · see citing works
Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex
ten Donkelaar, H. J., Tzourio‐Mazoyer, N., & Mai, J. K. (2018) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2018.00093 · Cited by 57 · see citing works
“The insula is surrounded by the circular sulcus of the insula (sulcus circularis insulae of Reil) or periinsular sulcus, and contains several vertically directed gyri, usually three short gyri (gyri breves insulae), anterior, middle and posterior, and one or two long gyri (gyri longi insulae), anterior and posterior,…”
BackgroundMaoz, B. M. (2021) · APL Bioengineering · doi:10.1063/5.0055812 · Cited by 57 · see citing works
Irmady, K., Hale, C. R., Qadri, R., Fak, J. J., Simelane, S., Carroll, T., Przedborski, S., & Darnell, R. B. (2023) · Nature Communications · doi:10.1038/s41467-023-39652-6 · Cited by 63 · see citing works
A Spotlight on Bridging Microscale and Macroscale Human Brain Architecture
van den Heuvel, M. P., & Yeo, B. T. T. (2017) · Neuron · doi:10.1016/j.neuron.2017.02.048 · Cited by 51 · see citing works
“To overcome this, Ding et al. (2016) matched individual Nissl plates to corresponding planes in the high-resolution anatomical MRI scans, which enabled identification of cytoarchitectonic delineated structures in macroscale 3D space.”
BackgroundMethodInfluentialde Florès, R., Berron, D., Ding, S., Ittyerah, R., Pluta, J. B., Xie, L., Adler, D. H., Robinson, J. L., Schuck, T., Trojanowski, J. Q., et al. (2019) · Hippocampus · doi:10.1002/hipo.23172 · Cited by 53 · see citing works
“In fact, these types can also be found in anatomical atlases, with Harding, Halliday, and Kril (1998) showing a more body-like shape throughout the length of the hippocampal tail, whereas the other type is shown, for example, in Duvernoy (2005), Insausti and Amaral (2012), and Ding et al. (2016).”
BackgroundMethodResultInfluentialSelf-citationA guide to the BRAIN Initiative Cell Census Network data ecosystem
Hawrylycz, M., Martone, M. E., Ascoli, G. A., Bjaalie, J. G., Dong, H., Ghosh, S., Gillis, J. A., Hertzano, R. P., Haynor, D. R., Hof, P. R., et al. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3002133 · Cited by 55 · see citing works
Self-citationThe Role of the Human Hypothalamus in Food Intake Networks: An MRI Perspective
Roger, C., Lasbleiz, A., Guye, M., Dutour, A., Gaborit, B., & Ranjeva, J. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2021.760914 · Cited by 55 · see citing works
“More recently, the first digital human brain atlas to gather neuroimaging, high-resolution histology, and chemoarchitecture was created (53).”
BackgroundVisualizing the Human Subcortex Using Ultra-high Field Magnetic Resonance Imaging
Keuken, M. C., Isaacs, B. R., Trampel, R., van der Zwaag, W., & Forstmann, B. U. (2018) · Brain Topography · doi:10.1007/s10548-018-0638-7 · Cited by 55 · see citing works
Integrated platform for multiscale molecular imaging and phenotyping of the human brain
Park, J., Wang, J., Guan, W., Gjesteby, L., Pollack, D., Kamentsky, L. D., Evans, N. B., Stirman, J., Gu, X., Zhao, C., et al. (2024) · Science · doi:10.1126/science.adh9979 · Cited by 67 · see citing works
Ewert, S., Plettig, P., Chakravarty, M. M., et al. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/062851 · Cited by 56 · see citing works
Evolution of Human Brain Atlases in Terms of Content, Applications, Functionality, and Availability
Nowinski, W. L. (2020) · Neuroinformatics · doi:10.1007/s12021-020-09481-9 · Cited by 55 · see citing works
Area Prostriata in the Human Brain
Mikellidou, K., Kurzawski, J. W., Frijia, F., Montanaro, D., Greco, V., Burr, D. C., & Morrone, M. C. (2017) · Current Biology · doi:10.1016/j.cub.2017.08.065 · Cited by 48 · see citing works
Flattery, C. N. R., Ross, A. P., Sahu, S. P., Siegel, E. R., Dooyema, J. M., Cree, M. A., Stopa, E. G., Young, L. J., Rilling, J. K., Albers, H. E., et al. (2018) · American Journal of Primatology · doi:10.1002/ajp.22875 · Cited by 50 · see citing works
“These blocks included posterior orbital, cingulate, and insular cortex, as well as portions of fronto-parietal and anterior temporal cortex, and correspond to level 15 through 56 in the Ding et al. (2016) human atlas.”
BackgroundStructural and resting state functional connectivity beyond the cortex
Harrison, O. K., Guell, X., Klein-Flügge, M. C., & Barry, R. L. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118379 · Cited by 44 · see citing works
Amiez, C., Sallet, J., Novek, J., Hadj‐Bouziane, F., Giacometti, C., Andersson, J., Hopkins, W. D., & Petrides, M. (2021) · Communications Biology · doi:10.1038/s42003-020-01571-3 · Cited by 49 · see citing works
The human mediodorsal thalamus: Organization, connectivity, and function
Li, K., Fan, L., Cui, Y. J., Wei, X., He, Y., Yang, J., Lu, Y., Li, W., Shi, W., Cao, L., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118876 · Cited by 52 · see citing works
Wan, L., Ai, J.-Q., Yang, C. G., Jiang, J., Zhang, Q., Luo, Z., Huang, R., Tu, T., Pan, A., Tu, E., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.717263 · Cited by 37 · see citing works
A multimodal computational pipeline for 3D histology of the human brain
Mancini, M., Casamitjana, A., Peter, L., Robinson, E., Crampsie, S., Thomas, D. L., Holton, J. L., Jaunmuktane, Z., & Iglesias, J. E. (2020) · Scientific Reports · doi:10.1038/s41598-020-69163-z · Cited by 47 · see citing works
Spatial Transcriptomics: Molecular Maps of the Mammalian Brain
Ortiz, C., Carlén, M., & Meletis, K. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-100520-082639 · Cited by 45 · see citing works
Higher and deeper: Bringing layer fMRI to association cortex
Finn, E. S., Huber, L., & Bandettini, P. A. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101930 · Cited by 47 · see citing works
“, 2019), this can be achieved using ex-vivo atlases that have both histology and MRI components (Amunts et al., 2013; Ding et al., 2016).”
BackgroundFrench, L., Ma, T., Oh, H., Tseng, G. C., & Sibille, E. L. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00162 · Cited by 45 · see citing works
Ascending arousal network connectivity during recovery from traumatic coma
Snider, S. B., Bodien, Y. G., Frau‐Pascual, A., et al. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102503 · Cited by 46 · see citing works
“In 7 subjects (6 Chronic DoC, 1 Recovery Follow-up), hypothalamic, thalamic or basal forebrain masks were manually edited (FSLeyes) in diffusion space according to the Allen Brain Atlas (Ding et al., 2016) to correct misalignments.”
MethodMultimodal MRI reveals brainstem connections that sustain wakefulness in human consciousness
Edlow, B. L., Olchanyi, M., Freeman, H. J., Li, J., Maffei, C., Snider, S. B., Zöllei, L., Iglesias, J. E., Augustinack, J. C., Bodien, Y. G., et al. (2024) · Science Translational Medicine · doi:10.1126/scitranslmed.adj4303 · Cited by 53 · see citing works
“To segment the thalamic, hypothalamic, and basal fore-brain nuclei for specimens 2 and 3, we manually traced each node based on the Allen Institute human brain atlas ( 40 ).”
MethodSelf-citationThe unfolded protein response is activated in the olfactory system in Alzheimer’s disease
Murray, H. C., Dieriks, B. V., Swanson, M. E. V., Anekal, P. V., Turner, C. P., Faull, R. L. M., Belluscio, L., Koretsky, A. P., & Curtis, M. A. (2020) · Acta Neuropathologica Communications · doi:10.1186/s40478-020-00986-7 · Cited by 43 · see citing works
“The piriform cortex, entorhinal cortex and CA1 region of the hippocampus were delineated according to the Allen Human Brain Atlas [3, 13].”
Kang, W., Ju, C., Joo, J., Lee, J., Shon, Y., & Park, S. (2022) · Nature Communications · doi:10.1038/s41467-022-35540-7 · Cited by 43 · see citing works
“…(WF) stimulation to the large hippocampal structure may induce unsuitable or excessive effects on its adjacent structures, such as the amygdala, the entorhinal cortex, and the parahippocampal gyrus, resulting in diverse adverse effects, such as memory impairment and emotional disorders 20 – 22 .”
Integrative inference of brain cell similarities and differences from single-cell genomicsPreprint
Welch, J. D., Kozareva, V., Ferreira, A. N., Vanderburg, C. R., Martin, C., & Macosko, E. Z. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/459891 · Cited by 40 · see citing works
The role of the motor thalamus in deep brain stimulation for essential tremor
Neudorfer, C., Kultas‐Ilinsky, K., Ilinsky, I. A., Paschen, S., Helmers, A., Cosgrove, G. R., Richardson, R. M., Horn, A., & Deuschl, G. (2024) · Neurotherapeutics · doi:10.1016/j.neurot.2023.e00313 · Cited by 40 · see citing works
Vestibular function and cortical and sub-cortical alterations in an aging population
Jacob, A., Tward, D. J., Resnick, S. M., Smith, P. F., Christophe Lopez, A., Rebello, E., Wei, E. X., Ratnanather, J. T., & Agrawal, Y. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e04728 · Cited by 37 · see citing works
Topological Maps and Brain Computations From Low to High
Sereno, M. I., Sood, M. R., & Huang, R. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.787737 · Cited by 35 · see citing works
Yao, S., Harder, A., Darki, F., Chang, Y.-W., Li, A., Nikouei, K., Volpe, G., Lundström, J. N., Zeng, J., Wray, N. R., et al. (2025) · Nature Communications · doi:10.1038/s41467-024-55611-1 · Cited by 52 · see citing works
- Authors
- Ding, S., Royall, J. J., Sunkin, S. M., Ng, L., Facer, B. A. C., Lesnar, P., Guillozet‐Bongaarts, A., McMurray, B., Szafer, A., Dolbeare, T. A., Stevens, A., Tirrell, L., Benner, T., Caldejon, S., Dalley, R. A., Dee, N., Lau, C., Nyhus, J., Reding, M., Riley, Z. L., Sandman, D., Shen, E., van der Kouwe, A., Varjabedian, A., Write, M., Zollei, L., Dang, C., Knowles, J. A., Koch, C., Phillips, J. W., Sestan, N., Wohnoutka, P., Zielke, H. R., Hohmann, J. G., Jones, A. R., Bernard, A., Hawrylycz, M. J., Hof, P. R., Fischl, B., & Lein, E. S.
- Affiliations
- Allen Institute for Brain Science (US)
- Harvard University (US)
- Department of Radiology, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown Massachusetts 02129
- University of Southern California (US)
- Allen Institute for Brain Science Seattle Washington 98109
- Department of Neurobiology and Kavli Institute for Neuroscience Yale University School of Medicine New Haven Connecticut 06510
- University of Maryland, Baltimore (US)
- Icahn School of Medicine at Mount Sinai (US)
- Corresponding author
- Ding, Song‐Lin
- Lein, Ed S.
- ORCID
- Ding, Song‐Lin
- Sunkin, Susan M.
- Ng, Lydia
- Lesnar, Phil
- Szafer, Aaron
- Dolbeare, Tim A.
- Stevens, Allison
- Tirrell, Lee
- Caldejon, Shiella
- Dalley, Rachel A.
- Dee, Nick
- Nyhus, Julie
- Reding, Melissa
- Knowles, James A.
- Phillips, John W.
- Wohnoutka, Paul
- Hohmann, John G.
- Jones, Allan R.
- Bernard, Amy
- Hawrylycz, Michael J.
- Hof, Patrick R.
- Fischl, Bruce
- Lein, Ed S.
- Venue
- Journal of Comparative Neurology
- Publisher
- Wiley
- Published
- 2016-09-15
- Volume
- 524
- Issue
- 16
- Pages
- 3127-3481
- ISSN
- 0021-9967 (ISSN-L)
- 1096-9861
- PMC
- PMC5054943
- OpenAlex
- W2504912000
- Cited by
- 447
- References
- 91
- Citations by year
- 2026: 39 · 2025: 59 · 2024: 52 · 2023: 55 · 2022: 46 · 2021: 49 · 2020: 50 · 2019: 42 · 2018: 35 · 2017: 18 · 2016: 2
- FWCI
- 28.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Journal of Comparative Neurology (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- National Institutes of Health (RC2 MH089921)
- NIH Blueprint for Neuroscience Research (5U01‐MH093765)
- National Institute on Aging (5R01AG008122 & R01AG016495)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Keywords
- digital brain atlas, white matter tracts, cytoarchitecture, chemoarchitecture, Nissl staining, immunohistochemistry, diffusion-weighted imaging, MRI-histology correlation, Brodmann areas, female brain
- MeSH terms
- Adult, Anatomy, Artistic, Brain, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Parvalbumins, Neurofilament Proteins, Diffusion Magnetic Resonance Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-08.
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