Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus

Katsumi, Yuta; Zhang, Jiahe; Chen, Danlei; Kamona, Nada; Bunce, Jamie G.; Hutchinson, J. Benjamin; Yarossi, Mathew; Tunik, Eugene; Dickerson, Bradford C.; Quigley, Karen S.; Barrett, Lisa Feldman

doi:10.1038/s42003-023-04796-0

Cited by 29 publications

(18 citation statements)

References 189 publications

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“…Functional decoding of the four clusters revealed the functional information of the first four components provided. Cluster 1 and 4 were associated with the DMN and the sensorimotor network, consistent with the two ends of the principal gradient (Katsumi et al, 2023; Margulies et al, 2016). Cluster 2 was associated with the frontoparietal network, usually found in the third component (Katsumi et al, 2023; Smallwood et al, 2021).…”

Section: Discussionsupporting

confidence: 63%

“…Cluster 1 and 4 were associated with the DMN and the sensorimotor network, consistent with the two ends of the principal gradient (Katsumi et al, 2023; Margulies et al, 2016). Cluster 2 was associated with the frontoparietal network, usually found in the third component (Katsumi et al, 2023; Smallwood et al, 2021). Finally, Cluster 3 was associated with the visual cortex, which is usually separated from the sensorimotor network when including the second component (Katsumi et al, 2023; Margulies et al, 2016).…”

Section: Discussionsupporting

confidence: 63%

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Methods for decoding cortical gradients of functional connectivity

Peraza

Salo

Riedel³

et al. 2023

Preprint

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Macroscale gradients have emerged as a central principle for understanding functional brain organization. Previous studies have demonstrated that a principal gradient of connectivity in the human brain exists, with unimodal primary sensorimotor regions situated at one end, and transmodal regions associated with the default mode network and representative of abstract functioning at the other. The functional significance and interpretation of macroscale gradients remains a central topic of discussion in the neuroimaging community, with some studies demonstrating that gradients may be described using meta-analytic functional decoding techniques. However, additional methodological development is necessary to more fully leverage available meta-analytic methods and resources and quantitatively evaluate their relative performance. Here, we conducted a comprehensive series of analyses to investigate and improve the framework of data-driven, meta-analytic methods, thereby establishing a principled approach for gradient segmentation and functional decoding. We found that a small number of segments determined by a K-means segmentation approach and an LDA-based meta-analysis combined with the NeuroQuery database was the optimal combination of methods for decoding functional connectivity gradients. Taken together, the current work aims to provide recommendations on best practices, along with flexible methods, for gradient-based functional decoding of fMRI data.

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Section: Discussionsupporting

confidence: 63%

Section: Discussionsupporting

confidence: 63%

Methods for decoding cortical gradients of functional connectivity

Peraza

Salo

Riedel³

et al. 2023

Preprint

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“…These gradients were evident in terms of hippocampal-cortical connectivity, hippocampal geometric eigenmodes, and their roles in supporting cortical hierarchies, indicating that the organizational principles are not only evident in how the hippocampus communicates with the neocortex but also in its structural properties and influence on the hierarchical organization of high-order functions. Our results challenge classical views on hippocampal long-axis differentiation, which have predominantly (except 81 ) identified a consistent monotonic gradient across multiple organizational traits 1,2,[4][5][6]24 . We propose that the organization and function of the hippocampus are more complex and nuanced than previously thought.…”

Section: Discussioncontrasting

confidence: 60%

Dual long-axis reorganization of hippocampus in youth

Zeng,

Li,

et al. 2023

Preprint

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The reorganization of human hippocampus, especially its interaction with cortex, remains largely undefined in youth. The organization of a single hippocampal long-axis has been predominantly characterized as monotonic1–6, despite recent indications of nonmonotonic features in neuron density7and geometric eigenmodes8. While the human cortical hierarchy has been well recognized for significant developmental and evolutionary advantages9–12, hippocampus has been typically considered an evolutionarily conserved brain structure1,13,14, and overlooked regarding its integrative role of cortical hierarchical processing during development. Here, we corroborated the presence and significance of a dual long-axis representation of the hippocampal connectome and geometry including both linear and quadratic gradients along its long-axis in youth. This finding was robust across two independent large-scale developmental cohorts. Charting development of the dual long-axis gradients underscored their specific contributions to the cortical hierarchy maturation from the frontoparietal and salience/ventral attention networks. The observed developmental variability in spontaneous brain activities in youth parallels the gradients of myelin content. During childhood through adolescence to early adulthood, the hippocampus reorganized the dual long-axis by gradually relaxing its geometric constraints on the intrinsic network organization of cortical spontaneous activity for refined executive functions. Molecular processes underlying such reorganization of the dual long-axis in hippocampus are linked to neural growth, stress hormone regulation, and neuroactive signaling. Our findings enrich the understanding of hippocampal-cortical reorganizational principles across structural, functional, and molecular dimensions as well as its maturation, and define the plasticity distribution within the human hippocampus at systems level, holding potentials to enhance and translate neurodevelopment and neuropsychiatric healthcare.

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“…We next computed gradient-weighted cortical maps 33 to determine how BF gradients were expressed by the cortex. The gradient-weighted cortical maps were created by multiplying each row of the initial connectivity matrix (M BF voxels x N cortical parcels ) with the corresponding structural principal gradient (sG1) or functional principal gradient (fG1) value to create a gradient-weighted connectivity matrix.…”

Section: Primary Bf Structural and Functional Gradientsmentioning

confidence: 99%

Multimodal gradients of basal forebrain connectivity across the neocortex

Chakraborty

Haast

Kanel

et al. 2023

Preprint

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The cholinergic innervation of the cortex originates almost entirely from populations of neurons in the basal forebrain. Structurally, the ascending basal forebrain cholinergic projections are highly branched, with individual cells targeting multiple different cortical regions. However, it is not known whether the structural organization of basal forebrain projections reflects their functional integration with the cortex. We therefore used high resolution 7T diffusion and resting state functional MRI in humans to examine multimodal gradients of forebrain cholinergic connectivity with the neocortex. Moving from anteromedial to posterolateral BF, structural and functional gradients became progressively detethered, with the most pronounced dissimilarity localized in the nucleus basalis of Meynert (NbM). Structure-function tethering was shaped in part by the distance of cortical parcels from the BF and their myelin content. Functional but not structural connectivity with the BF grew stronger at shorter geodesic distances, with weakly myelinated transmodal cortical areas most strongly expressing this divergence. We then used an in vivo cell type-specific marker of the presynaptic cholinergic nerve terminals, [18F] FEOBV PET, to demonstrate that the transmodal cortical areas exhibiting highest structure-function detethering with BF gradients are also among the most densely innervated by its cholinergic projections. Altogether, multimodal gradients of basal forebrain connectivity reveal inhomogeneity in structure-function tethering which becomes most pronounced in the transition from anteromedial to posterolateral BF. Cortical cholinergic projections emanating from the NbM in particular may exhibit a broad repertoire of connections with key transmodal cortical areas associated with the ventral attention network.

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Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus

Cited by 29 publications

References 189 publications

Methods for decoding cortical gradients of functional connectivity

Methods for decoding cortical gradients of functional connectivity

Dual long-axis reorganization of hippocampus in youth

Multimodal gradients of basal forebrain connectivity across the neocortex

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