Normative models reveal distinct cortical abnormalities to dimensions of psychopathologies in preadolescents Article Swipe
Qiudong Deng
,
Elizabeth Levitis
,
Rick A. Adams
,
André Altmann
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.11.29.626043
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.11.29.626043
Background Evidence suggests a non-specific mapping between psychiatric disorders and underlying neurobiological substrates. A dimensional psychopathology framework may prove useful for organizing observed neurobiological alterations along broad psychopathological dimensions. Methods We applied latent class analysis, with an additional constraint on classification uncertainty, to identify clinical cohorts of symptomatic homogeneity to represent the high-risk end of specific psychopathological dimensions (i.e., internalizing/externalizing, p-factor ), using baseline data ( N = 11860) from the Adolescent Brain and Cognitive Development (ABCD) Study. These cohorts were compared against neurotypical individuals in deviations from the normality of cortical development, quantified using autoencoder-based normative models, to reveal cortical abnormalities. Results We identified cortical thickness related to psychopathologies in the ABCD data, particularly to externalizing syndromes, and revealed distinct structural abnormalities to broad psychopathological dimensions. Conclusion This study highlights the value of person-centered analytic techniques, combined with normative modeling, to complement traditional associational methodologies in revealing neurobiological correlates of dimensional psychopathologies.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.11.29.626043
- https://www.biorxiv.org/content/biorxiv/early/2024/12/02/2024.11.29.626043.full.pdf
- OA Status
- green
- References
- 65
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404906084
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- Title
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Normative models reveal distinct cortical abnormalities to dimensions of psychopathologies in preadolescentsWork title
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preprintOpenAlex work type
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enPrimary language
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2024Year of publication
- Publication date
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2024-12-02Full publication date if available
- Authors
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Qiudong Deng, Elizabeth Levitis, Rick A. Adams, André AltmannList of authors in order
- Landing page
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https://doi.org/10.1101/2024.11.29.626043Publisher landing page
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https://www.biorxiv.org/content/biorxiv/early/2024/12/02/2024.11.29.626043.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2024/12/02/2024.11.29.626043.full.pdfDirect OA link when available
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Normative, Psychology, Developmental psychology, Neuroscience, Cognitive psychology, Social psychology, Epistemology, PhilosophyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.p-factor | 61 |
| abstract_inverted_index.revealed | 120 |
| abstract_inverted_index.specific | 56 |
| abstract_inverted_index.suggests | 3 |
| abstract_inverted_index.Cognitive | 75 |
| abstract_inverted_index.analysis, | 35 |
| abstract_inverted_index.disorders | 9 |
| abstract_inverted_index.framework | 17 |
| abstract_inverted_index.high-risk | 53 |
| abstract_inverted_index.modeling, | 141 |
| abstract_inverted_index.normality | 90 |
| abstract_inverted_index.normative | 97, 140 |
| abstract_inverted_index.represent | 51 |
| abstract_inverted_index.revealing | 148 |
| abstract_inverted_index.thickness | 107 |
| abstract_inverted_index.Adolescent | 72 |
| abstract_inverted_index.Background | 1 |
| abstract_inverted_index.Conclusion | 128 |
| abstract_inverted_index.additional | 38 |
| abstract_inverted_index.complement | 143 |
| abstract_inverted_index.constraint | 39 |
| abstract_inverted_index.correlates | 150 |
| abstract_inverted_index.deviations | 87 |
| abstract_inverted_index.dimensions | 58 |
| abstract_inverted_index.highlights | 131 |
| abstract_inverted_index.identified | 105 |
| abstract_inverted_index.organizing | 22 |
| abstract_inverted_index.quantified | 94 |
| abstract_inverted_index.structural | 122 |
| abstract_inverted_index.syndromes, | 118 |
| abstract_inverted_index.underlying | 11 |
| abstract_inverted_index.Development | 76 |
| abstract_inverted_index.alterations | 25 |
| abstract_inverted_index.dimensional | 15, 152 |
| abstract_inverted_index.dimensions. | 29, 127 |
| abstract_inverted_index.homogeneity | 49 |
| abstract_inverted_index.individuals | 85 |
| abstract_inverted_index.psychiatric | 8 |
| abstract_inverted_index.substrates. | 13 |
| abstract_inverted_index.symptomatic | 48 |
| abstract_inverted_index.techniques, | 137 |
| abstract_inverted_index.traditional | 144 |
| abstract_inverted_index.development, | 93 |
| abstract_inverted_index.neurotypical | 84 |
| abstract_inverted_index.non-specific | 5 |
| abstract_inverted_index.particularly | 115 |
| abstract_inverted_index.uncertainty, | 42 |
| abstract_inverted_index.abnormalities | 123 |
| abstract_inverted_index.associational | 145 |
| abstract_inverted_index.externalizing | 117 |
| abstract_inverted_index.methodologies | 146 |
| abstract_inverted_index.abnormalities. | 102 |
| abstract_inverted_index.classification | 41 |
| abstract_inverted_index.neurobiological | 12, 24, 149 |
| abstract_inverted_index.person-centered | 135 |
| abstract_inverted_index.psychopathology | 16 |
| abstract_inverted_index.autoencoder-based | 96 |
| abstract_inverted_index.psychopathologies | 110 |
| abstract_inverted_index.psychopathological | 28, 57, 126 |
| abstract_inverted_index.psychopathologies. | 153 |
| abstract_inverted_index.internalizing/externalizing, | 60 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5110715539 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I45129253 |
| citation_normalized_percentile.value | 0.35440411 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |