ArticleCerebral cortex (New York, N.Y. : 1991)2023
Connectivity gradients in spontaneous brain activity at multiple frequency bands.
Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Biological correlates of temperament: systematic reviews, empirical studies, and a conceptual framework linking neurotransmitter signaling, intrinsic brain activity, and the hyperthymic-depressive spectrum.Molecular psychiatry · 2025Pooled it
- Polarisation of brain dynamics in mania and depression.Dialogues in clinical neuroscience · 2026Article
- Frequency-dependent alterations of degree centrality in patients with poststroke depression: a resting-state functional MRI study.Neuroreport · 2026Article
- Gait dynamics and brain function abnormalities in Parkinson's disease with freezing of gait: a clinical study using resting-state fMRI and wearable devices.Frontiers in neuroscience · 2025Article
- Lesion-network mapping in task-dependent frequencies uncovers remote consequences of focal damage.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Cortical activations in cognitive task performance at multiple frequency bands.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- A working model of neural activity and phenomenal experience in psychosis.Molecular psychiatry · 2024Review
- A three-dimensional model of neural activity and phenomenal-behavioral patterns.Molecular psychiatry · 2024Review
- Article
- Hemispheric coupling between structural and functional asymmetries in clinically asymptomatic carotid stenosis with cognitive impairment.Brain imaging and behavior · 2024Article
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2 authors.
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Abstract
The intrinsic organizational structure of the brain is reflected in spontaneous brain oscillations. Its functional integration and segregation hierarchy have been discovered in space by leveraging gradient approaches to low-frequency functional connectivity. This hierarchy of brain oscillations has not yet been fully understood, since previous studies have mainly concentrated on the brain oscillations from a single limited frequency range (~ 0.01-0.1 Hz). In this work, we extended the frequency range and performed gradient analysis across multiple frequency bands of fast resting-state fMRI signals from the Human Connectome Project and condensed a frequency-rank cortical map of the highest gradient. We found that the coarse skeletons of the functional organization hierarchy are generalizable across the multiple frequency bands. Beyond that, the highest integration levels of connectivity vary in the frequency domain across different large-scale brain networks. These findings are replicated in another independent dataset and demonstrated that different brain networks can integrate information at varying rates, indicating the significance of examining the intrinsic architecture of spontaneous brain activity from the perspective of multiple frequency bands.
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