Analysis of Connectome Graphs Based on Boundary Scale Article Swipe
M. J. Morón
,
Ludovica Maria Amedeo
,
Alberto Monterroso Muñoz
,
Helena Molina‐Abril
,
Fernando Díaz-del-Río
,
Fabiano Bini
,
Franco Marinozzi
,
Pedro Real
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s23208607
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s23208607
The purpose of this work is to advance in the computational study of connectome graphs from a topological point of view. Specifically, starting from a sequence of hypergraphs associated to a brain graph (obtained using the Boundary Scale model, BS2), we analyze the resulting scale-space representation using classical topological features, such as Betti numbers and average node and edge degrees. In this way, the topological information that can be extracted from the original graph is substantially enriched, thus providing an insightful description of the graph from a clinical perspective. To assess the qualitative and quantitative topological information gain of the BS2 model, we carried out an empirical analysis of neuroimaging data using a dataset that contains the connectomes of 96 healthy subjects, 52 women and 44 men, generated from MRI scans in the Human Connectome Project. The results obtained shed light on the differences between these two classes of subjects in terms of neural connectivity.
Related Topics
Concepts
Connectome
Computer science
Graph
Representation (politics)
Node (physics)
Bijection
Perspective (graphical)
Topology (electrical circuits)
Scale (ratio)
Boundary (topology)
Theoretical computer science
Artificial neural network
Graph theory
Pattern recognition (psychology)
Artificial intelligence
Mathematics
Combinatorics
Psychology
Functional connectivity
Geography
Neuroscience
Physics
Cartography
Law
Politics
Political science
Mathematical analysis
Quantum mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s23208607
- https://www.mdpi.com/1424-8220/23/20/8607/pdf?version=1697808443
- OA Status
- gold
- Cited By
- 1
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387822772
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4387822772Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s23208607Digital Object Identifier
- Title
-
Analysis of Connectome Graphs Based on Boundary ScaleWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-20Full publication date if available
- Authors
-
M. J. Morón, Ludovica Maria Amedeo, Alberto Monterroso Muñoz, Helena Molina‐Abril, Fernando Díaz-del-Río, Fabiano Bini, Franco Marinozzi, Pedro RealList of authors in order
- Landing page
-
https://doi.org/10.3390/s23208607Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/23/20/8607/pdf?version=1697808443Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/23/20/8607/pdf?version=1697808443Direct OA link when available
- Concepts
-
Connectome, Computer science, Graph, Representation (politics), Node (physics), Bijection, Perspective (graphical), Topology (electrical circuits), Scale (ratio), Boundary (topology), Theoretical computer science, Artificial neural network, Graph theory, Pattern recognition (psychology), Artificial intelligence, Mathematics, Combinatorics, Psychology, Functional connectivity, Geography, Neuroscience, Physics, Cartography, Law, Politics, Political science, Mathematical analysis, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1Per-year citation counts (last 5 years)
- References (count)
-
31Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.features, | 49 |
| abstract_inverted_index.generated | 127 |
| abstract_inverted_index.providing | 78 |
| abstract_inverted_index.resulting | 43 |
| abstract_inverted_index.subjects, | 121 |
| abstract_inverted_index.Connectome | 134 |
| abstract_inverted_index.associated | 28 |
| abstract_inverted_index.connectome | 13 |
| abstract_inverted_index.insightful | 80 |
| abstract_inverted_index.connectomes | 117 |
| abstract_inverted_index.description | 81 |
| abstract_inverted_index.differences | 143 |
| abstract_inverted_index.hypergraphs | 27 |
| abstract_inverted_index.information | 65, 96 |
| abstract_inverted_index.qualitative | 92 |
| abstract_inverted_index.scale-space | 44 |
| abstract_inverted_index.topological | 17, 48, 64, 95 |
| abstract_inverted_index.neuroimaging | 109 |
| abstract_inverted_index.perspective. | 88 |
| abstract_inverted_index.quantitative | 94 |
| abstract_inverted_index.Specifically, | 21 |
| abstract_inverted_index.computational | 10 |
| abstract_inverted_index.connectivity. | 154 |
| abstract_inverted_index.substantially | 75 |
| abstract_inverted_index.representation | 45 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5093101382 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I861853513 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/5 |
| sustainable_development_goals[0].score | 0.5899999737739563 |
| sustainable_development_goals[0].display_name | Gender equality |
| citation_normalized_percentile.value | 0.52681415 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |