Assessing Brain Network Dynamics During Postural Control Task Using EEG Microstates Article Swipe
Carmine Gelormini
,
Lorena Guerrini
,
Federica Pescaglia
,
Romain Aubonnet
,
Halldór Jónsson
,
Hannes Petersen
,
Giorgio Di Lorenzo
,
Paolo Gargiulo
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/s10548-025-01119-w
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1007/s10548-025-01119-w
The ability to maintain our body's balance and stability in space is crucial for performing daily activities. Effective postural control (PC) strategies rely on integrating visual, vestibular, and proprioceptive sensory inputs. While neuroimaging has revealed key areas involved in PC-including brainstem, cerebellum, and cortical networks-the rapid neural mechanisms underlying dynamic postural tasks remain less understood. Therefore, we used EEG microstate analysis within the BioVRSea experiment to explore the temporal brain dynamics that support PC. This complex paradigm simulates maintaining an upright posture on a moving platform, integrated with virtual reality (VR), to replicate the sensation of balancing on a boat. Data were acquired from 266 healthy subjects using a 64-channel EEG system. Using a modified k-means method, five EEG microstate maps were identified to best model the paradigm. Differences in each microstate maps feature (occurrence, duration, and coverage) between experimental phases were analyzed using a linear mixed model, revealing significant differences between microstates within the experiment phases. The temporal parameters of microstate C showed significantly higher levels in all experimental phases compared to other microstate maps, whereas microstate B displayed an opposite pattern, consistently showing lower levels. This study marks the first attempt to use microstate analysis during a dynamic task, demonstrating the decisive role of microstate C and, conversely, microstate B in differentiating the PC phases. These results demonstrate the utility of microstate technique in studying temporal brain dynamics during PC, with potential applications in the early detection of neurodegenerative diseases.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s10548-025-01119-w
- https://link.springer.com/content/pdf/10.1007/s10548-025-01119-w.pdf
- OA Status
- hybrid
- Cited By
- 1
- References
- 80
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411006285
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- OpenAlex ID
-
https://openalex.org/W4411006285Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s10548-025-01119-wDigital Object Identifier
- Title
-
Assessing Brain Network Dynamics During Postural Control Task Using EEG MicrostatesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-06-03Full publication date if available
- Authors
-
Carmine Gelormini, Lorena Guerrini, Federica Pescaglia, Romain Aubonnet, Halldór Jónsson, Hannes Petersen, Giorgio Di Lorenzo, Paolo GargiuloList of authors in order
- Landing page
-
https://doi.org/10.1007/s10548-025-01119-wPublisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s10548-025-01119-w.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://link.springer.com/content/pdf/10.1007/s10548-025-01119-w.pdfDirect OA link when available
- Concepts
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Electroencephalography, Task (project management), Neurology, Dynamics (music), Control (management), Psychology, Artificial intelligence, Computer science, Physical medicine and rehabilitation, Neuroscience, Cognitive psychology, Medicine, Engineering, Systems engineering, PedagogyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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80Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.feature | 133 |
| abstract_inverted_index.healthy | 105 |
| abstract_inverted_index.inputs. | 30 |
| abstract_inverted_index.k-means | 115 |
| abstract_inverted_index.levels. | 186 |
| abstract_inverted_index.method, | 116 |
| abstract_inverted_index.phases. | 156, 216 |
| abstract_inverted_index.posture | 81 |
| abstract_inverted_index.reality | 89 |
| abstract_inverted_index.results | 218 |
| abstract_inverted_index.sensory | 29 |
| abstract_inverted_index.showing | 184 |
| abstract_inverted_index.support | 72 |
| abstract_inverted_index.system. | 111 |
| abstract_inverted_index.upright | 80 |
| abstract_inverted_index.utility | 221 |
| abstract_inverted_index.virtual | 88 |
| abstract_inverted_index.visual, | 25 |
| abstract_inverted_index.whereas | 176 |
| abstract_inverted_index.BioVRSea | 63 |
| abstract_inverted_index.acquired | 102 |
| abstract_inverted_index.analysis | 60, 196 |
| abstract_inverted_index.analyzed | 142 |
| abstract_inverted_index.compared | 171 |
| abstract_inverted_index.cortical | 43 |
| abstract_inverted_index.decisive | 203 |
| abstract_inverted_index.dynamics | 70, 229 |
| abstract_inverted_index.involved | 37 |
| abstract_inverted_index.maintain | 3 |
| abstract_inverted_index.modified | 114 |
| abstract_inverted_index.opposite | 181 |
| abstract_inverted_index.paradigm | 76 |
| abstract_inverted_index.pattern, | 182 |
| abstract_inverted_index.postural | 18, 50 |
| abstract_inverted_index.revealed | 34 |
| abstract_inverted_index.studying | 226 |
| abstract_inverted_index.subjects | 106 |
| abstract_inverted_index.temporal | 68, 158, 227 |
| abstract_inverted_index.Effective | 17 |
| abstract_inverted_index.balancing | 96 |
| abstract_inverted_index.coverage) | 137 |
| abstract_inverted_index.detection | 238 |
| abstract_inverted_index.diseases. | 241 |
| abstract_inverted_index.displayed | 179 |
| abstract_inverted_index.duration, | 135 |
| abstract_inverted_index.paradigm. | 127 |
| abstract_inverted_index.platform, | 85 |
| abstract_inverted_index.potential | 233 |
| abstract_inverted_index.replicate | 92 |
| abstract_inverted_index.revealing | 148 |
| abstract_inverted_index.sensation | 94 |
| abstract_inverted_index.simulates | 77 |
| abstract_inverted_index.stability | 8 |
| abstract_inverted_index.technique | 224 |
| abstract_inverted_index.64-channel | 109 |
| abstract_inverted_index.Therefore, | 55 |
| abstract_inverted_index.brainstem, | 40 |
| abstract_inverted_index.experiment | 64, 155 |
| abstract_inverted_index.identified | 122 |
| abstract_inverted_index.integrated | 86 |
| abstract_inverted_index.mechanisms | 47 |
| abstract_inverted_index.microstate | 59, 119, 131, 161, 174, 177, 195, 206, 210, 223 |
| abstract_inverted_index.parameters | 159 |
| abstract_inverted_index.performing | 14 |
| abstract_inverted_index.strategies | 21 |
| abstract_inverted_index.underlying | 48 |
| abstract_inverted_index.Differences | 128 |
| abstract_inverted_index.activities. | 16 |
| abstract_inverted_index.cerebellum, | 41 |
| abstract_inverted_index.conversely, | 209 |
| abstract_inverted_index.demonstrate | 219 |
| abstract_inverted_index.differences | 150 |
| abstract_inverted_index.integrating | 24 |
| abstract_inverted_index.maintaining | 78 |
| abstract_inverted_index.microstates | 152 |
| abstract_inverted_index.significant | 149 |
| abstract_inverted_index.understood. | 54 |
| abstract_inverted_index.vestibular, | 26 |
| abstract_inverted_index.(occurrence, | 134 |
| abstract_inverted_index.PC-including | 39 |
| abstract_inverted_index.applications | 234 |
| abstract_inverted_index.consistently | 183 |
| abstract_inverted_index.experimental | 139, 169 |
| abstract_inverted_index.networks-the | 44 |
| abstract_inverted_index.neuroimaging | 32 |
| abstract_inverted_index.demonstrating | 201 |
| abstract_inverted_index.significantly | 164 |
| abstract_inverted_index.proprioceptive | 28 |
| abstract_inverted_index.differentiating | 213 |
| abstract_inverted_index.neurodegenerative | 240 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.4399999976158142 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.86585159 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |