Common Microscale and Macroscale Principles of Connectivity in the Human Brain

Abstract

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The spatial extent of anatomical connections within the thalamus varies across the cortical hierarchy in humans and macaques

“…Our findings align with theoretical proposals that hypothesize similar principles governing connectivity at multiple levels of analysis (84, 85). Moreover, it implies that principles of variation at the level of thalamic fibers can provide insights into the properties of large-scale white matter tracts.…”

BrainStat: A toolbox for brain-wide statistics and multimodal feature associations

“…It is worth noting that in general, the application of contextual association analysis does not necessarily imply any assumption on the directionality of associations between micro- and macroscale properties of brain organization, nor between structure and function. Indeed, microscale-macroscale associations ( Arnatkeviciute et al, 2021 ; Fornito et al, 2019 ; Scholtens et al, 2022 ; Wang et al, 2022 ; Markello et al, 2021 ) as well as structure-function relationships ( Benkarim et al, 2022 ; Goñi et al, 2014 ; Honey et al, 2009 ; Paquola et al, 2022 ; Suárez et al, 2020 ) in the human brain, remain a topic of highly active research, often suggesting complex, and bidirectional relations between different domains.…”

Power in network neuroscience

“…Connectomists have always been acutely aware of the methodological and statistical challenges in the field [18][19][20][21] many of them related to the growing complexity of our study designs and the large number of connections examined in connectome studies (Figure 1). The field widely recognizes the importance of accurate connectome reconstruction [22] and is continuously improving the quality of connectivity maps [23][24][25][26][27], estimating the effects of noisy connections on network reconstruction and inference [28][29][30][31], and developing new tools to robustly study and compare the network architecture of brain systems [27,32,33]. These investigations place necessary focus on the importance of avoiding incorrect false positive effects in connectome investigations [24].…”