Two common and distinct forms of variation in human functional brain networks
Abstract The cortex has a characteristic layout with specialized functional areas forming distributed large-scale networks. However, substantial work shows striking variation in this organization across people, which relates to differences in behavior. While most prior work treats all individual differences as equivalent and primarily linked to boundary shifts between the borders of regions, here we show that cortical ‘variants’ actually occur in two different forms. In addition to border shifts, variants also occur at a distance from their typical position, forming ectopic intrusions. Both forms of variants are common across individuals, but the forms differ in their location, network associations, and activations during tasks, patterns that replicate across datasets and methods of definition. Border shift variants also track significantly more with shared genetics than ectopic variants, suggesting a closer link between ectopic variants and environmental influences. Further, variant properties are categorically different between subgroups of individuals. Exploratory evidence suggests that variants can predict individual differences in behavior, but the two forms differ in which behavioral phenotypes they predict. This work argues that individual differences in brain organization commonly occur in two dissociable forms – border shifts and ectopic intrusions – suggesting that these types of variation are indexing distinct forms of cortical variation that must be separately accounted for in the analysis of cortical systems across people. This work expands our knowledge of cortical variation in humans and helps reconceptualize the discussion of how cortical systems variability arises and links to individual differences in cognition and behavior..
Medienart: |
Preprint |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
bioRxiv.org - (2023) vom: 14. Nov. Zur Gesamtaufnahme - year:2023 |
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Sprache: |
Englisch |
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Beteiligte Personen: |
Dworetsky, Ally [VerfasserIn] |
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Links: |
Volltext [kostenfrei] |
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Themen: |
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doi: |
10.1101/2021.09.17.460799 |
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funding: |
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PPN (Katalog-ID): |
XBI032607369 |
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520 | |a Abstract The cortex has a characteristic layout with specialized functional areas forming distributed large-scale networks. However, substantial work shows striking variation in this organization across people, which relates to differences in behavior. While most prior work treats all individual differences as equivalent and primarily linked to boundary shifts between the borders of regions, here we show that cortical ‘variants’ actually occur in two different forms. In addition to border shifts, variants also occur at a distance from their typical position, forming ectopic intrusions. Both forms of variants are common across individuals, but the forms differ in their location, network associations, and activations during tasks, patterns that replicate across datasets and methods of definition. Border shift variants also track significantly more with shared genetics than ectopic variants, suggesting a closer link between ectopic variants and environmental influences. Further, variant properties are categorically different between subgroups of individuals. Exploratory evidence suggests that variants can predict individual differences in behavior, but the two forms differ in which behavioral phenotypes they predict. This work argues that individual differences in brain organization commonly occur in two dissociable forms – border shifts and ectopic intrusions – suggesting that these types of variation are indexing distinct forms of cortical variation that must be separately accounted for in the analysis of cortical systems across people. This work expands our knowledge of cortical variation in humans and helps reconceptualize the discussion of how cortical systems variability arises and links to individual differences in cognition and behavior. | ||
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700 | 1 | |a Nielsen, Ashley N. |4 aut | |
700 | 1 | |a Hatoum, Alexander S. |4 aut | |
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700 | 1 | |a Nichols, Thomas E. |4 aut | |
700 | 1 | |a Neta, Maital |4 aut | |
700 | 1 | |a Petersen, Steven E. |4 aut | |
700 | 1 | |a Gratton, Caterina |4 aut | |
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