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Two common and distinct forms of variation in human functional brain networks.

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Title: Two common and distinct forms of variation in human functional brain networks.
Authors: Dworetsky, Ally (AUTHOR), Seitzman, Benjamin A. (AUTHOR), Adeyemo, Babatunde (AUTHOR), Nielsen, Ashley N. (AUTHOR), Hatoum, Alexander S. (AUTHOR), Smith, Derek M. (AUTHOR), Nichols, Thomas E. (AUTHOR), Neta, Maital (AUTHOR), Petersen, Steven E. (AUTHOR), Gratton, Caterina (AUTHOR)
Source: Nature Neuroscience. Jun2024, Vol. 27 Issue 6, p1187-1198. 12p.
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 previous work treats individual differences as linked to boundary shifts between the borders of regions, here we show that cortical 'variants' also occur at a distance from their typical position, forming ectopic intrusions. Both 'border' and 'ectopic' variants are common across individuals, but differ in their location, network associations, properties of subgroups of individuals, activations during tasks, and prediction of behavioral phenotypes. Border variants also track significantly more with shared genetics than ectopic variants, suggesting a closer link between ectopic variants and environmental influences. This work argues that these two dissociable forms of variation—border shifts and ectopic intrusions—must be separately accounted for in the analysis of individual differences in cortical systems across people. The layout of cortical systems varies across people, which is assumed to be largely due to border shifts between nearby systems. Dworetsky et al. reveal a qualitatively different variation in systems that occurs at a distance from expected locations. [ABSTRACT FROM AUTHOR]
Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Two common and distinct forms of variation in human functional brain networks.
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  Data: <searchLink fieldCode="AR" term="%22Dworetsky%2C+Ally%22">Dworetsky, Ally</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Seitzman%2C+Benjamin+A%2E%22">Seitzman, Benjamin A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Adeyemo%2C+Babatunde%22">Adeyemo, Babatunde</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nielsen%2C+Ashley+N%2E%22">Nielsen, Ashley N.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hatoum%2C+Alexander+S%2E%22">Hatoum, Alexander S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Smith%2C+Derek+M%2E%22">Smith, Derek M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nichols%2C+Thomas+E%2E%22">Nichols, Thomas E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Neta%2C+Maital%22">Neta, Maital</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Petersen%2C+Steven+E%2E%22">Petersen, Steven E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gratton%2C+Caterina%22">Gratton, Caterina</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Nature+Neuroscience%22">Nature Neuroscience</searchLink>. Jun2024, Vol. 27 Issue 6, p1187-1198. 12p.
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  Data: 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 previous work treats individual differences as linked to boundary shifts between the borders of regions, here we show that cortical 'variants' also occur at a distance from their typical position, forming ectopic intrusions. Both 'border' and 'ectopic' variants are common across individuals, but differ in their location, network associations, properties of subgroups of individuals, activations during tasks, and prediction of behavioral phenotypes. Border variants also track significantly more with shared genetics than ectopic variants, suggesting a closer link between ectopic variants and environmental influences. This work argues that these two dissociable forms of variation—border shifts and ectopic intrusions—must be separately accounted for in the analysis of individual differences in cortical systems across people. The layout of cortical systems varies across people, which is assumed to be largely due to border shifts between nearby systems. Dworetsky et al. reveal a qualitatively different variation in systems that occurs at a distance from expected locations. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Nature Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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