Clinical Pearls and Methods for Intraoperative Motor Mapping Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1093/neuros/nyaa359
Resection of brain tumors involving motor areas and pathways requires the identification and preservation of various cortical and subcortical structures involved in motor control at the time of the procedure, in order to maintain the patient's full motor capacities. The use of brain mapping techniques has now been integrated into clinical practice for many years, as they help the surgeon to identify the neural structures involved in motor functions. A common definition of motor function, as well as knowledge of its neural organization, has been continuously evolving, underlining the need for implementing intraoperative strategies at the time of the procedure. Similarly, mapping strategies have been subjected to continuous changes, enhancing the likelihood of preservation of full motor capacities. As a general rule, the motor mapping strategy should be as flexible as possible and adapted strictly to the individual patient and clinical context of the tumor. In this work, we present an overview of current knowledge of motor organization, indications for motor mapping, available motor mapping, and monitoring strategies, as well as their advantages and limitations. The use of motor mapping improves resection and outcomes in patients harboring tumors involving motor areas and pathways, and should be considered the gold standard in the resection of this type of tumor.
Related Topics
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1093/neuros/nyaa359
- OA Status
- hybrid
- Cited By
- 46
- References
- 69
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3124308997
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3124308997Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/neuros/nyaa359Digital Object Identifier
- Title
-
Clinical Pearls and Methods for Intraoperative Motor MappingWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-07-25Full publication date if available
- Authors
-
Marco Rossi, Tommaso Sciortino, Marco Conti Nibali, Lorenzo Gay, Luca Viganò, Guglielmo Puglisi, Antonella Leonetti, Henrietta Howells, Luca Fornia, Gabriella Cerri, Marco Riva, Lorenzo BelloList of authors in order
- Landing page
-
https://doi.org/10.1093/neuros/nyaa359Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1093/neuros/nyaa359Direct OA link when available
- Concepts
-
Motor function, Context (archaeology), Motor control, Motor area, Supplementary motor area, Computer science, Motor skill, Motor cortex, Function (biology), Medicine, Neuroscience, Physical medicine and rehabilitation, Psychology, Functional magnetic resonance imaging, Biology, Paleontology, Evolutionary biology, StimulationTop concepts (fields/topics) attached by OpenAlex
- Cited by
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46Total citation count in OpenAlex
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2025: 8, 2024: 13, 2023: 9, 2022: 10, 2021: 6Per-year citation counts (last 5 years)
- References (count)
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69Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.improves | 181 |
| abstract_inverted_index.involved | 21, 66 |
| abstract_inverted_index.maintain | 34 |
| abstract_inverted_index.mapping, | 162, 165 |
| abstract_inverted_index.outcomes | 184 |
| abstract_inverted_index.overview | 152 |
| abstract_inverted_index.pathways | 9 |
| abstract_inverted_index.patients | 186 |
| abstract_inverted_index.possible | 132 |
| abstract_inverted_index.practice | 52 |
| abstract_inverted_index.requires | 10 |
| abstract_inverted_index.standard | 200 |
| abstract_inverted_index.strategy | 126 |
| abstract_inverted_index.strictly | 135 |
| abstract_inverted_index.Resection | 1 |
| abstract_inverted_index.available | 163 |
| abstract_inverted_index.enhancing | 110 |
| abstract_inverted_index.evolving, | 87 |
| abstract_inverted_index.function, | 75 |
| abstract_inverted_index.harboring | 187 |
| abstract_inverted_index.involving | 5, 189 |
| abstract_inverted_index.knowledge | 79, 155 |
| abstract_inverted_index.pathways, | 193 |
| abstract_inverted_index.patient's | 36 |
| abstract_inverted_index.resection | 182, 203 |
| abstract_inverted_index.subjected | 106 |
| abstract_inverted_index.Similarly, | 101 |
| abstract_inverted_index.advantages | 173 |
| abstract_inverted_index.considered | 197 |
| abstract_inverted_index.continuous | 108 |
| abstract_inverted_index.definition | 72 |
| abstract_inverted_index.functions. | 69 |
| abstract_inverted_index.individual | 138 |
| abstract_inverted_index.integrated | 49 |
| abstract_inverted_index.likelihood | 112 |
| abstract_inverted_index.monitoring | 167 |
| abstract_inverted_index.procedure, | 30 |
| abstract_inverted_index.procedure. | 100 |
| abstract_inverted_index.strategies | 94, 103 |
| abstract_inverted_index.structures | 20, 65 |
| abstract_inverted_index.techniques | 45 |
| abstract_inverted_index.capacities. | 39, 118 |
| abstract_inverted_index.indications | 159 |
| abstract_inverted_index.strategies, | 168 |
| abstract_inverted_index.subcortical | 19 |
| abstract_inverted_index.underlining | 88 |
| abstract_inverted_index.continuously | 86 |
| abstract_inverted_index.implementing | 92 |
| abstract_inverted_index.limitations. | 175 |
| abstract_inverted_index.preservation | 14, 114 |
| abstract_inverted_index.organization, | 83, 158 |
| abstract_inverted_index.identification | 12 |
| abstract_inverted_index.intraoperative | 93 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| corresponding_author_ids | https://openalex.org/A5084124153 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I189158943 |
| citation_normalized_percentile.value | 0.96482509 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |