Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI

Schaefer, Alexander; Kong, Ru; Gordon, Evan M.; Laumann, Timothy O.; Zuo, Xi‐Nian; Holmes, Avram J.; Eickhoff, Simon B.; Yeo, B.T. Thomas

doi:10.1101/135632

Cited by 491 publications

(979 citation statements)

References 190 publications

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“…Specifically, RSFC is based on resting‐state functional magnetic resonance imaging (RS‐fMRI), which measures spontaneous low‐frequency fluctuations in blood oxygen level‐dependent (BOLD) signal in subjects at rest. RS‐fMRI has attracted attention for its ability to measure correlations in neural activity (via BOLD signal) between brain regions, regardless of their spatial proximity (Power et al, ; Schaefer et al, ), in order to identify co‐activation patterns among regions (i.e., networks).…”

Section: Introductionmentioning

confidence: 99%

Associations between personality and whole‐brain functional connectivity at rest: Evidence across the adult lifespan

2020

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Introduction Personality is associated with cognitive, emotional, and social functioning, and can play a role in age‐related cognitive decline and dementia risk; however, little is known about the brain dynamics underlying personality characteristics, and whether they are moderated by age. Methods We investigated the associations between personality and resting‐state functional MRI data from 365 individuals across the adult lifespan (20–80 years). Participants completed the 50‐item International Personality Item Pool and a resting‐state imaging protocol on a 3T MRI scanner. Within‐network connectivity values were computed based on predefined networks. Regression analyzes were conducted in order to investigate personality–connectivity associations, as well as moderation by age. All models controlled for potential confounders (such as age, sex, education, IQ, and the other personality traits). Results We found that openness was positively associated with connectivity in the default‐mode network, neuroticism was negatively associated with both the ventral and dorsal attention networks, and agreeableness was negatively associated with the dorsal attention network. In addition, age moderated the association between conscientiousness and the frontoparietal network, indicating that this association become stronger in older age. Conclusions Our findings demonstrate that personality is associated with brain connectivity, which may contribute to identifying personality profiles that play a role in protection against or risk for age‐related brain changes and dementia.

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Section: Introductionmentioning

confidence: 99%

Associations between personality and whole‐brain functional connectivity at rest: Evidence across the adult lifespan

2020

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“…It is unlikely that researchers would directly project individual subjects’ fMRI data onto fsaverage surface space for group‐level analysis, and then project their results into MNI152 space for visualization. A more likely scenario might be the projection of surface‐based resting‐state fMRI cortical parcellations (Glasser et al, ; Gordon et al, 2016; Schaefer et al, ; Yeo et al, ) to MNI152 space. The projected resting‐state fMRI parcellation can then be utilized for analyzing new data from individual subjects registered to the MNI152 coordinate system.…”

Section: Methodsmentioning

confidence: 99%

“…For example, it is a common practice for researchers to perform group analysis in MNI152 space, and then project the results to fsaverage space for visualization (Liu, Stufflebeam, Sepulcre, Hedden, & Buckner, ; Sepulcre et al, ; Yeo et al, ). As another example, resting‐state parcellations estimated in fsaverage or fs_LR surface coordinate systems (Glasser et al, ; Gordon et al, ; Schaefer et al, ; Yeo et al, ) can be projected to the MNI152 coordinate system for analyzing fMRI data of new subjects registered to the MNI152 template. Finally, a more accurate MNI152‐fsaverage mapping would facilitate the comparison of thousands of neuroimaging studies reported in either MNI152 or fsaverage coordinate system.…”

Section: Introductionmentioning

confidence: 99%

Accurate nonlinear mapping between MNI volumetric and FreeSurfer surface coordinate systems

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Human Brain Mapping

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The results of most neuroimaging studies are reported in volumetric (e.g., MNI152) or surface (e.g., fsaverage) coordinate systems. Accurate mappings between volumetric and surface coordinate systems can facilitate many applications, such as projecting fMRI group analyses from MNI152/Colin27 to fsaverage for visualization or projecting resting-state fMRI parcellations from fsaverage to MNI152/Colin27 for volumetric analysis of new data. However, there has been surprisingly little research on this topic. Here, we evaluated three approaches for mapping data between MNI152/Colin27 and fsaverage coordinate systems by simulating the above applications: projection of group-average data from MNI152/Colin27 to fsaverage and projection of fsaverage parcellations to MNI152/Colin27. Two of the approaches are currently widely used. A third approach (registration fusion) was previously proposed, but not widely adopted. Two implementations of the registration fusion (RF) approach were considered, with one implementation utilizing the Advanced Normalization Tools (ANTs). We found that RF-ANTs performed the best for mapping between fsaverage and MNI152/Colin27, even for new subjects registered to MNI152/Colin27 using a different software tool (FSL FNIRT). This suggests that RF-ANTs would be useful even for researchers not using ANTs. Finally, it is worth emphasizing that the most optimal approach for mapping data to a coordinate system (e.g., fsaverage) is to register individual subjects directly to the coordinate system, rather than via another coordinate system. Only in scenarios where the optimal approach is not possible (e.g., mapping previously published results from MNI152 to fsaverage), should the approaches evaluated in this manuscript be considered. In these scenarios, we recommend RF-ANTs (https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/registration/Wu2017_RegistrationFusion).

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“…For the whole-brain topographic connectivity analysis, we made use of a previously published whole-brain parcellation atlas of 400 regions. The parcels were generated by maximizing correlations within a parcel while minimizing local changes in correlations within a parcel (Schaefer et al, 2018). For time and computational feasibility, we only used the 200 parcels of the right hemisphere.…”

Section: Regions Of Interest (Rois)mentioning

confidence: 99%

Topographic Mapping as a Basic Principle of Functional Organization for Visual and Prefrontal Functional Connectivity

O’Rawe

Leung

2020

eNeuro

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The organization of region-to-region functional connectivity has major implications for understanding information transfer and transformation between brain regions. We extended connective field mapping methodology to 3-D anatomic space to derive estimates of corticocortical functional organization. Using multiple publicly available human (both male and female) resting-state fMRI data samples for model testing and replication analysis, we have three main findings. First, we found that the functional connectivity between early visual regions maintained a topographic relationship along the anterior-posterior dimension, which corroborates previous research. Higher order visual regions showed a pattern of connectivity that supports convergence and biased sampling, which has implications for their receptive field properties. Second, we demonstrated that topographic organization is a fundamental aspect of functional connectivity across the entire cortex, with higher topographic connectivity between regions within a functional network than across networks. The principle gradient of topographic connectivity across the cortex resembled whole-brain gradients found in previous work. Last but not least, we showed that the organization of higher order regions such as the lateral prefrontal cortex demonstrate functional gradients of topographic connectivity and convergence. These organizational features of the lateral prefrontal cortex predict task-based activation patterns, particularly visual specialization and higher order rules. In sum, these findings suggest that topographic input is a fundamental motif of functional connectivity between cortical regions for information processing and transfer, with maintenance of topography potentially important for preserving the integrity of information from one region to another.

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Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI

Cited by 491 publications

References 190 publications

Associations between personality and whole‐brain functional connectivity at rest: Evidence across the adult lifespan

Associations between personality and whole‐brain functional connectivity at rest: Evidence across the adult lifespan

Accurate nonlinear mapping between MNI volumetric and FreeSurfer surface coordinate systems

Topographic Mapping as a Basic Principle of Functional Organization for Visual and Prefrontal Functional Connectivity

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