Connectivity Fingerprints: From Areal Descriptions to Abstract Spaces

Mars, Rogier B.; Passingham, Richard E.; Jbabdi, Saâd

doi:10.1016/j.tics.2018.08.009

Cited by 152 publications

(143 citation statements)

References 104 publications

Supporting

Mentioning

125

Contrasting

Order By: Relevance

“…Recent efforts have developed strategies for alignment based on white matter tracts, or myelin (T1w/T2w) maps 15,16 , as well as task-based activations during movie viewing 8 . We anticipate that the joint-embedding approach used in this paper should be readily extensible to diffusion imaging data and encourage future work in this direction 75,76 . Regardless of which data modality is used, the use of a highdimensional common space may help characterize functional similarities and differences across species, particularly in areas where clear anatomical landmarks are difficult or impossible to ascertain.…”

Section: Discussionmentioning

confidence: 99%

Cross-species Functional Alignment Reveals Evolutionary Hierarchy Within the Connectome

Nenning

Schwartz

et al. 2019

Preprint

View full text Add to dashboard Cite

Evolution provides an important window into how cortical organization shapes function and vice versa. The complex mosaic of changes to brain morphology and functional organization that have shaped the mammalian cortex during evolution, complicates attempts to chart cortical differences across species. It limits our ability to fully appreciate how evolution has shaped our brain, especially in systems associated with unique human cognitive capabilities that lack anatomical homologues in other species. Here, we demonstrate a functional-based method for cross-species cortical alignment that leverages recent advances in understanding cortical organization and that enables the quantification of homologous regions across species, even when their location is decoupled from anatomical landmarks. Critically, our method establishes that cross-species similarity in cortical organization decreases with geodesic distance from unimodal systems, and culminates in the most pronounced changes in posterior regions of the default network (angular gyrus, posterior cingulate and middle temporal cortices). Our findings suggest that the establishment of the default network, as the apex of a cognitive hierarchy, as is seen in humans, is a relatively recent evolutionary adaptation. They also highlight functional changes in regions such as the posterior cingulate cortex and angular gyrus as key influences on uniquely human features of cognition.

show abstract

Section: Discussionmentioning

confidence: 99%

Cross-species Functional Alignment Reveals Evolutionary Hierarchy Within the Connectome

Nenning

Schwartz

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…Recognizing the high dimensionality of functional connectivity data, however, emerging efforts have highlighted the need for identifying summary metrics that can distill complex whole-brain connectivity data into more parsimonious sets of organizing principles. Toward this goal, a framework has been introduced to reduce such complexity into a set of dimensions describing the 'connectivity space' of the brain (Haak et al, 2018;Langs et al, 2016;Margulies et al, 2016;Mars et al, 2018aMars et al, , 2018bVos de Wael et al, 2020). Despite the value of these approaches, there is currently a lack of consensus on which method is the most applicable to develop an effective imaging biomarker.…”

Section: Introductionmentioning

confidence: 99%

Toward a Connectivity Gradient-Based Framework for Reproducible Biomarker Discovery

Hong

Nikolaidis

et al. 2020

Preprint

View full text Add to dashboard Cite

Despite myriad demonstrations of feasibility, the high dimensionality of fMRI data remains a critical barrier to its utility for reproducible biomarker discovery. Recent studies applying dimensionality reduction techniques to resting-state fMRI (R-fMRI) have unveiled neurocognitively meaningful connectivity gradients that are present in both human and primate brains, and appear to differ meaningfully among individuals and clinical populations. Here, we provide a critical assessment of the suitability of connectivity gradients for biomarker discovery.Using the Human Connectome Project (discovery subsample=209; two replication subsamples= 209×2) and the Midnight scan club (n=9), we tested the following key biomarker traits -reliability, reproducibility and predictive validity -of functional gradients. In doing so, we systematically assessed the effects of three analytical settings, including i) dimensionality reduction algorithms (i.e., linear vs. non-linear methods), ii) input data types (i.e., raw time series, [un-]thresholded functional connectivity), and iii) amount of the data (R-fMRI time-series lengths). We found that the reproducibility of functional gradients across algorithms and subsamples is generally higher for those explaining more variances of whole-brain connectivity data, as well as those having higher reliability. Notably, among different analytical settings, a linear dimensionality reduction (principal component analysis in our study), more conservatively thresholded functional connectivity (e.g., 95-97%) and longer time-series data (at least ≥20mins) was found to be preferential conditions to obtain higher reliability. Those gradients with higher reliability were able to predict unseen phenotypic scores with a higher accuracy, highlighting reliability as a critical prerequisite for validity. Importantly, prediction accuracy with connectivity gradients exceeded that observed with more traditional edge-based connectivity measures, suggesting the added value of a low-dimensional gradient approach. Finally, the present work highlights the importance and benefits of systematically exploring the parameter space for new imaging methods before widespread deployment.

show abstract

“…We found that a hierarchy existed in the CFR: the CFR was relatively high in the sensory-motor networks, moderate in the dorsal and ventral attentional networks, and relatively low in the frontoparietal, default, and limbic networks. The sensory-motor networks included regions such as the motor, auditory, and visual cortices, and the association frontoparietal and default networks included regions such as the lateral prefrontal cortex and 8 temporal-parietal junction. The CFR in the sensory-motor networks was significantly (p<1e- 6) higher than that in the association networks under a two sample t-test.…”

Section: Hierarchy In the Cfrmentioning

confidence: 99%

“…Anatomical connectivity is regarded as the basis for brain functions in the cortex 7 and can provide a more powerful framework than physical location for describing brain functions 8 .…”

Section: Introductionmentioning

confidence: 99%

Hierarchy of connectivity-function relationship of the human cortex revealed through predicting activity across functional domains

Fan

Song

et al. 2019

Preprint

View full text Add to dashboard Cite

Many studies showed that anatomical connectivity supports both anatomical and functional hierarchies that span across the primary and association cortices in the cerebral cortex.However, it remains unclear whether a hierarchy of connectivity-function relationship (CFR) exists across the human cortex as well as how to characterize the hierarchy of this CFR if it exists. We first addressed whether anatomical connectivity could be used to predict functional activations across different functional domains using multilinear regression models. Then we characterized the CFR by predicting activity from anatomical connectivity throughout the cortex. We found that there is a hierarchy of CFR across the human cortex. Moreover, this CFR hierarchy was correlated to the functional and anatomical hierarchy reflected in functional flexibility, functional variability, and the myelin map. Our results suggest a shared hierarchical mechanism in the cortex, a finding which provides important insights into the anatomical and functional organization of the human brain.

show abstract

Connectivity Fingerprints: From Areal Descriptions to Abstract Spaces

Cited by 152 publications

References 104 publications

Cross-species Functional Alignment Reveals Evolutionary Hierarchy Within the Connectome

Cross-species Functional Alignment Reveals Evolutionary Hierarchy Within the Connectome

Toward a Connectivity Gradient-Based Framework for Reproducible Biomarker Discovery

Hierarchy of connectivity-function relationship of the human cortex revealed through predicting activity across functional domains

Contact Info

Product

Resources

About