Decoding the Human Brain during Intelligence Testing Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.04.01.646660
Understanding the brain mechanisms underlying complex human cognition is a major objective in neuroscience. Previous studies have identified neural correlates of intelligence at different temporal and spatial scales using functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) separately. This study treats intelligence as a multilayer phenomenon across temporal and spatial scales and examines how the connectedness of brain regions as well as the complexity of multilayer brain dynamics relates to performance in an established intelligence test. Graph-theoretical analyses of fMRI-derived functional connectivity (N=67) revealed that the connectedness of frontal and parietal regions was associated with individual performance. Further, multiscale entropy analyses of EEG signals (N=131) disclosed that higher test scores were linked to more complex long-range processes and, at a trend level, to less complex short-range processes. These findings support the Multilayer Processing Theory, proposing the interplay between flexible long-range and modular short-range processes as the neural bases of intelligence.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2025.04.01.646660
- OA Status
- green
- References
- 98
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409080254
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4409080254Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2025.04.01.646660Digital Object Identifier
- Title
-
Decoding the Human Brain during Intelligence TestingWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-04-01Full publication date if available
- Authors
-
Jonas A. Thiele, Joshua Faskowitz, Olaf Sporns, Adam Chuderski, Rex E. Jung, Kirsten HilgerList of authors in order
- Landing page
-
https://doi.org/10.1101/2025.04.01.646660Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1101/2025.04.01.646660Direct OA link when available
- Concepts
-
Decoding methods, Computer science, Human brain, Human intelligence, Psychology, Neuroscience, Artificial intelligence, AlgorithmTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
98Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4409080254 |
|---|---|
| doi | https://doi.org/10.1101/2025.04.01.646660 |
| ids.doi | https://doi.org/10.1101/2025.04.01.646660 |
| ids.openalex | https://openalex.org/W4409080254 |
| fwci | 0.0 |
| type | preprint |
| title | Decoding the Human Brain during Intelligence Testing |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T12268 |
| topics[0].field.id | https://openalex.org/fields/32 |
| topics[0].field.display_name | Psychology |
| topics[0].score | 0.3328000009059906 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3207 |
| topics[0].subfield.display_name | Social Psychology |
| topics[0].display_name | Deception detection and forensic psychology |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C57273362 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6696142554283142 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q576722 |
| concepts[0].display_name | Decoding methods |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.5441766977310181 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C2777670902 |
| concepts[2].level | 2 |
| concepts[2].score | 0.47843435406684875 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q492038 |
| concepts[2].display_name | Human brain |
| concepts[3].id | https://openalex.org/C105409693 |
| concepts[3].level | 2 |
| concepts[3].score | 0.44484713673591614 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q5937824 |
| concepts[3].display_name | Human intelligence |
| concepts[4].id | https://openalex.org/C15744967 |
| concepts[4].level | 0 |
| concepts[4].score | 0.35606828331947327 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[4].display_name | Psychology |
| concepts[5].id | https://openalex.org/C169760540 |
| concepts[5].level | 1 |
| concepts[5].score | 0.299257755279541 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q207011 |
| concepts[5].display_name | Neuroscience |
| concepts[6].id | https://openalex.org/C154945302 |
| concepts[6].level | 1 |
| concepts[6].score | 0.28173741698265076 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[6].display_name | Artificial intelligence |
| concepts[7].id | https://openalex.org/C11413529 |
| concepts[7].level | 1 |
| concepts[7].score | 0.09129562973976135 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[7].display_name | Algorithm |
| keywords[0].id | https://openalex.org/keywords/decoding-methods |
| keywords[0].score | 0.6696142554283142 |
| keywords[0].display_name | Decoding methods |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.5441766977310181 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/human-brain |
| keywords[2].score | 0.47843435406684875 |
| keywords[2].display_name | Human brain |
| keywords[3].id | https://openalex.org/keywords/human-intelligence |
| keywords[3].score | 0.44484713673591614 |
| keywords[3].display_name | Human intelligence |
| keywords[4].id | https://openalex.org/keywords/psychology |
| keywords[4].score | 0.35606828331947327 |
| keywords[4].display_name | Psychology |
| keywords[5].id | https://openalex.org/keywords/neuroscience |
| keywords[5].score | 0.299257755279541 |
| keywords[5].display_name | Neuroscience |
| keywords[6].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[6].score | 0.28173741698265076 |
| keywords[6].display_name | Artificial intelligence |
| keywords[7].id | https://openalex.org/keywords/algorithm |
| keywords[7].score | 0.09129562973976135 |
| keywords[7].display_name | Algorithm |
| language | en |
| locations[0].id | doi:10.1101/2025.04.01.646660 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402567 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| locations[0].source.host_organization | https://openalex.org/I2750212522 |
| locations[0].source.host_organization_name | Cold Spring Harbor Laboratory |
| locations[0].source.host_organization_lineage | https://openalex.org/I2750212522 |
| locations[0].license | cc-by-nc-nd |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.1101/2025.04.01.646660 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5091775613 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-2702-9690 |
| authorships[0].author.display_name | Jonas A. Thiele |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Jonas Alexander Thiele |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5005941814 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-1814-7206 |
| authorships[1].author.display_name | Joshua Faskowitz |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Joshua Faskowitz |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5002202464 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-7265-4036 |
| authorships[2].author.display_name | Olaf Sporns |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Olaf Sporns |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5032774978 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-6198-6748 |
| authorships[3].author.display_name | Adam Chuderski |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Adam Chuderski |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5038892405 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-3718-0597 |
| authorships[4].author.display_name | Rex E. Jung |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Rex Jung |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5085426182 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-3940-5884 |
| authorships[5].author.display_name | Kirsten Hilger |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Kirsten Hilger |
| authorships[5].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1101/2025.04.01.646660 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Decoding the Human Brain during Intelligence Testing |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12268 |
| primary_topic.field.id | https://openalex.org/fields/32 |
| primary_topic.field.display_name | Psychology |
| primary_topic.score | 0.3328000009059906 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3207 |
| primary_topic.subfield.display_name | Social Psychology |
| primary_topic.display_name | Deception detection and forensic psychology |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2390279801, https://openalex.org/W4391913857, https://openalex.org/W2358668433, https://openalex.org/W4396701345, https://openalex.org/W2376932109, https://openalex.org/W2001405890, https://openalex.org/W4396696052 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1101/2025.04.01.646660 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402567 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| best_oa_location.source.host_organization | https://openalex.org/I2750212522 |
| best_oa_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| best_oa_location.license | cc-by-nc-nd |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.1101/2025.04.01.646660 |
| primary_location.id | doi:10.1101/2025.04.01.646660 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402567 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| primary_location.source.host_organization | https://openalex.org/I2750212522 |
| primary_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| primary_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| primary_location.license | cc-by-nc-nd |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1101/2025.04.01.646660 |
| publication_date | 2025-04-01 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W2151591509, https://openalex.org/W4312019529, https://openalex.org/W1970928383, https://openalex.org/W2770249652, https://openalex.org/W309617809, https://openalex.org/W2130010412, https://openalex.org/W6911420828, https://openalex.org/W2131681506, https://openalex.org/W1907418661, https://openalex.org/W4220849880, https://openalex.org/W2108058953, https://openalex.org/W2559820108, https://openalex.org/W2557390385, https://openalex.org/W2159292586, https://openalex.org/W2394994316, https://openalex.org/W2143909130, https://openalex.org/W2950844668, https://openalex.org/W2090687144, https://openalex.org/W2151721316, https://openalex.org/W4213205356, https://openalex.org/W2133299302, https://openalex.org/W2128495200, https://openalex.org/W4283751476, https://openalex.org/W4400940557, https://openalex.org/W2064450945, https://openalex.org/W2791781046, https://openalex.org/W2043553533, https://openalex.org/W2085430940, https://openalex.org/W6912935740, https://openalex.org/W2951583631, https://openalex.org/W2605370253, https://openalex.org/W2025009638, https://openalex.org/W2768528933, https://openalex.org/W4301167889, https://openalex.org/W4386602382, https://openalex.org/W2929474527, https://openalex.org/W2119915586, https://openalex.org/W2113619522, https://openalex.org/W6931666312, https://openalex.org/W3080643742, https://openalex.org/W2020044743, https://openalex.org/W2100145912, https://openalex.org/W2017987256, https://openalex.org/W2140312669, https://openalex.org/W2734952001, https://openalex.org/W2081312620, https://openalex.org/W2949076297, https://openalex.org/W2516844838, https://openalex.org/W2530399318, https://openalex.org/W2551846389, https://openalex.org/W2978074800, https://openalex.org/W4282826279, https://openalex.org/W3167892509, https://openalex.org/W2052644075, https://openalex.org/W2165360032, https://openalex.org/W2591418495, https://openalex.org/W2105629360, https://openalex.org/W2150408076, https://openalex.org/W1999830133, https://openalex.org/W3097364310, https://openalex.org/W4220838968, https://openalex.org/W1978694642, https://openalex.org/W4385683832, https://openalex.org/W4404561748, https://openalex.org/W4385596501, https://openalex.org/W2166073443, https://openalex.org/W2049673035, https://openalex.org/W2953090092, https://openalex.org/W2151438491, https://openalex.org/W1973776237, https://openalex.org/W2084479203, https://openalex.org/W2162010696, https://openalex.org/W6619908883, https://openalex.org/W1894134410, https://openalex.org/W2025543856, https://openalex.org/W1971729008, https://openalex.org/W2167822639, https://openalex.org/W2068252829, https://openalex.org/W4226017441, https://openalex.org/W4402900304, https://openalex.org/W2785432401, https://openalex.org/W3038079694, https://openalex.org/W2518624331, https://openalex.org/W2911129983, https://openalex.org/W2021590775, https://openalex.org/W3149222464, https://openalex.org/W2133487567, https://openalex.org/W3023265517, https://openalex.org/W2040240188, https://openalex.org/W2024495622, https://openalex.org/W4226101178, https://openalex.org/W4405219003, https://openalex.org/W2117340355, https://openalex.org/W2078389813, https://openalex.org/W2485041709, https://openalex.org/W4295750005, https://openalex.org/W2136573752, https://openalex.org/W4390849939 |
| referenced_works_count | 98 |
| abstract_inverted_index.a | 9, 43, 119 |
| abstract_inverted_index.an | 72 |
| abstract_inverted_index.as | 42, 59, 61, 144 |
| abstract_inverted_index.at | 22, 118 |
| abstract_inverted_index.in | 12, 71 |
| abstract_inverted_index.is | 8 |
| abstract_inverted_index.of | 20, 56, 64, 78, 87, 101, 148 |
| abstract_inverted_index.to | 69, 112, 122 |
| abstract_inverted_index.EEG | 102 |
| abstract_inverted_index.and | 25, 34, 48, 51, 89, 140 |
| abstract_inverted_index.how | 53 |
| abstract_inverted_index.the | 1, 54, 62, 85, 130, 135, 145 |
| abstract_inverted_index.was | 92 |
| abstract_inverted_index.This | 38 |
| abstract_inverted_index.and, | 117 |
| abstract_inverted_index.have | 16 |
| abstract_inverted_index.less | 123 |
| abstract_inverted_index.more | 113 |
| abstract_inverted_index.test | 108 |
| abstract_inverted_index.that | 84, 106 |
| abstract_inverted_index.well | 60 |
| abstract_inverted_index.were | 110 |
| abstract_inverted_index.with | 94 |
| abstract_inverted_index.(EEG) | 36 |
| abstract_inverted_index.These | 127 |
| abstract_inverted_index.bases | 147 |
| abstract_inverted_index.brain | 2, 57, 66 |
| abstract_inverted_index.human | 6 |
| abstract_inverted_index.major | 10 |
| abstract_inverted_index.study | 39 |
| abstract_inverted_index.test. | 75 |
| abstract_inverted_index.trend | 120 |
| abstract_inverted_index.using | 28 |
| abstract_inverted_index.(N=67) | 82 |
| abstract_inverted_index.(fMRI) | 33 |
| abstract_inverted_index.across | 46 |
| abstract_inverted_index.higher | 107 |
| abstract_inverted_index.level, | 121 |
| abstract_inverted_index.linked | 111 |
| abstract_inverted_index.neural | 18, 146 |
| abstract_inverted_index.scales | 27, 50 |
| abstract_inverted_index.scores | 109 |
| abstract_inverted_index.treats | 40 |
| abstract_inverted_index.(N=131) | 104 |
| abstract_inverted_index.Theory, | 133 |
| abstract_inverted_index.between | 137 |
| abstract_inverted_index.complex | 5, 114, 124 |
| abstract_inverted_index.entropy | 99 |
| abstract_inverted_index.frontal | 88 |
| abstract_inverted_index.imaging | 32 |
| abstract_inverted_index.modular | 141 |
| abstract_inverted_index.regions | 58, 91 |
| abstract_inverted_index.relates | 68 |
| abstract_inverted_index.signals | 103 |
| abstract_inverted_index.spatial | 26, 49 |
| abstract_inverted_index.studies | 15 |
| abstract_inverted_index.support | 129 |
| abstract_inverted_index.Further, | 97 |
| abstract_inverted_index.Previous | 14 |
| abstract_inverted_index.analyses | 77, 100 |
| abstract_inverted_index.dynamics | 67 |
| abstract_inverted_index.examines | 52 |
| abstract_inverted_index.findings | 128 |
| abstract_inverted_index.flexible | 138 |
| abstract_inverted_index.magnetic | 30 |
| abstract_inverted_index.parietal | 90 |
| abstract_inverted_index.revealed | 83 |
| abstract_inverted_index.temporal | 24, 47 |
| abstract_inverted_index.cognition | 7 |
| abstract_inverted_index.different | 23 |
| abstract_inverted_index.disclosed | 105 |
| abstract_inverted_index.interplay | 136 |
| abstract_inverted_index.objective | 11 |
| abstract_inverted_index.processes | 116, 143 |
| abstract_inverted_index.proposing | 134 |
| abstract_inverted_index.resonance | 31 |
| abstract_inverted_index.Multilayer | 131 |
| abstract_inverted_index.Processing | 132 |
| abstract_inverted_index.associated | 93 |
| abstract_inverted_index.complexity | 63 |
| abstract_inverted_index.correlates | 19 |
| abstract_inverted_index.functional | 29, 80 |
| abstract_inverted_index.identified | 17 |
| abstract_inverted_index.individual | 95 |
| abstract_inverted_index.long-range | 115, 139 |
| abstract_inverted_index.mechanisms | 3 |
| abstract_inverted_index.multilayer | 44, 65 |
| abstract_inverted_index.multiscale | 98 |
| abstract_inverted_index.phenomenon | 45 |
| abstract_inverted_index.processes. | 126 |
| abstract_inverted_index.underlying | 4 |
| abstract_inverted_index.established | 73 |
| abstract_inverted_index.performance | 70 |
| abstract_inverted_index.separately. | 37 |
| abstract_inverted_index.short-range | 125, 142 |
| abstract_inverted_index.connectivity | 81 |
| abstract_inverted_index.fMRI-derived | 79 |
| abstract_inverted_index.intelligence | 21, 41, 74 |
| abstract_inverted_index.performance. | 96 |
| abstract_inverted_index.Understanding | 0 |
| abstract_inverted_index.connectedness | 55, 86 |
| abstract_inverted_index.intelligence. | 149 |
| abstract_inverted_index.neuroscience. | 13 |
| abstract_inverted_index.Graph-theoretical | 76 |
| abstract_inverted_index.electroencephalography | 35 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.11888828 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |