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Mapping critical cortical hubs and white matter pathways by direct electrical stimulation: an original functional atlas of the human brain
Open accessAbstract
OBJECTIVE: The structural and functional organization of brain networks subserving basic daily activities (i.e. language, visuo-spatial cognition, movement, semantics, etc.) are not completely understood to date. Here, we report the first probabilistic cortical and subcortical atlas of critical structures mediating human brain functions based on direct electrical stimulation (DES), a well-validated tool for the exploration of cerebral processing and for performing safe surgical interventions in eloquent areas. METHODS: We collected 1162 cortical and 659 subcortical DES responses during testing of 16 functional domains in 256 patients undergoing awake surgery. Spatial coordinates for each functional response were calculated, and probability distributions for the entire patient cohort were mapped onto a standardized three-dimensional brain template using a multinomial statistical analysis. In addition, matching analyses were performed against prior established anatomy-based cortical and white matter (WM) atlases. RESULTS: The probabilistic maps for each functional domain were provided. The topographical analysis demonstrated a wide spatial distribution of cortical functional responses, while subcortical responses were more restricted, localizing to known WM pathways. These DES-derived data showed reliable matching with existing cortical and WM atlases as well as recent neuroimaging and neurophysiological data. CONCLUSIONS: We present the first integrated and comprehensive cortical-subcortical atlas of structures essential for humans' neural functions based on highly-specific DES mapping during real-time neuropsychological testing. This novel atlas can serve as a complementary tool for neuroscientists, along with data obtained from other modalities, to improve and refine our understanding of the functional anatomy of critical brain networks.
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“By combining tractography atlases with intraoperative electrical stimulation for functional mapping, researchers have constructed probabilistic atlases of white matter pathways and structural hubs that define a minimal common brain connectome with a low inter-individual variability and a low potential of post-lesional compensation (Herbet et al., 2016; Sarubbo et al., 2020).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Sarubbo et al., 2020
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“…in neurosurgical practice for the identification of critical network components at both the cortical and the subcortical levels, allowing neurosurgeons to preserve neurologic functions despite resections in or near eloquent areas (Sanai et al., 2008; Sanai and Berger, 2010; Duffau et al., 2005a).”
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MethodSelf-citationMaffei, C., Jovicich, J., Benedictis, A. D., Corsini, F., Barbareschi, M., Chioffi, F., & Sarubbo, S. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1471-6 · Cited by 46
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“These data support the hypothesis of a hemispheric segregation between verbal and non-verbal semantics (Moritz-Gasser et al., 2013; Han et al., 2013), with the latter mediated by the right IFOF (Herbet et al., 2017).”
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Zhang, F., Daducci, A., He, Y., Schiavi, S., Seguin, C., Smith, R. E., Yeh, C.-H., Zhao, T., & O’Donnell, L. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2021.118870 · Cited by 302
“probabilistic atlases of white matter pathways and structural hubs that define a minimal common brain connectome with a low inter-individual variability and a low potential of postlesional compensation [193, 370].”
The Role of the Dorsolateral Prefrontal Cortex for Speech and Language Processing
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“Interestingly, an recent electrocorticography study showed that the cerebral regions for non-spoken sign language might differ from those of monolingual spoken language in terms of language production (Shum et al., 2020).”
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Self-citation
Metadata
- Authors
- Sarubbo, S., Tate, M., De Benedictis, A., Merler, S., Moritz-Gasser, S., Herbet, G., & Duffau, H.
- Affiliations
- Provincia Autonoma di Trento (IT)
- Northwestern University (US)
- Fondazione Bruno Kessler (IT)
- Inserm (FR)
- Corresponding author
- Sarubbo, Silvio
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 205
- Pages
- 116237
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC7217287
- OpenAlex
- W2981249254
- Cited by
- 206
- References
- 81
- Citations by year
- 2026: 22 · 2025: 35 · 2024: 18 · 2023: 35 · 2022: 35 · 2021: 41 · 2020: 18
- FWCI
- 15.87
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Iris (University of Trento) (submittedVersion, cc-by-nc-nd)
- HAL (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health
- National Center for Advancing Translational Sciences (KL2TR001424, MT)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Clinical Neurology › Deep Brain Stimulation and Movement Disorders
- Keywords
- direct electrical stimulation, cortical hubs, white matter tracts, subcortical structures, awake craniotomy, eloquent brain areas, probabilistic mapping, brain networks, language, visuospatial cognition, movement, semantics, neurosurgical planning
- MeSH terms
- Adult, Atlases as Topic, Brain Mapping, Cerebral Cortex, Electric Stimulation, Humans, Magnetic Resonance Imaging, Neural Pathways, Neurosurgical Procedures, Preoperative Period, White Matter
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.
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