References
1. Markov, N. T., Vezoli, J., Chameau, P., Falchier, A., Quilodran, R., Huissoud, C., Lamy, C., Misery, P., Giroud, P., Ullman, S., Barone, P., Dehay, C., Knoblauch, K., & Kennedy, H. (2014). Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex. Journal of Comparative Neurology, 522(1), 225–259. https://doi.org/10.1002/cne.23458
[doi]
2. Degutis, J. K., Chaimow, D., Haenelt, D., Assem, M., Duncan, J., Haynes, J.-D., Weiskopf, N., & Lorenz, R. (2024). Dynamic layer-specific processing in the prefrontal cortex during working memory. Communications Biology, 7(1). https://doi.org/10.1038/s42003-024-06780-8
[doi]
3. Lawrence, S. J. D., Norris, D. G., & de Lange, F. P. (2019). Dissociable laminar profiles of concurrent bottom-up and top-down modulation in the human visual cortex. eLife, 8, e44422. https://doi.org/10.7554/eLife.44422
[doi]
4. Kotlarz, P., Lankinen, K., Hakonen, M., Turpin, T., Polimeni, J. R., & Ahveninen, J. (2025). Multilayer network analysis across cortical depths in 7-T resting-state fMRI. Network Neuroscience, 9(2), 475–503. https://doi.org/10.1162/netn_a_00436
[doi]
5. Chai, Y., Morgan, A. T., Xie, H., Li, L., Huber, L., Bandettini, P. A., & Sutton, B. P. (2024). Unlocking near-whole-brain, layer-specific functional connectivity with 3D VAPER fMRI. Imaging Neuroscience, 2, 1–20. https://doi.org/10.1162/imag_a_00140
[doi]
6. Wang, Y., Eichert, N., Paquola, C., Rodriguez-Cruces, R., DeKraker, J., Royer, J., Cabalo, D. G., Auer, H., Ngo, A., Leppert, I. R., Tardif, C. L., Rudko, D. A., Leech, R., Amunts, K., Valk, S. L., Smallwood, J., Evans, A. C., & Bernhardt, B. C. (2025). Multimodal gradients unify local and global cortical organization. Nature Communications, 16(1), 3911. https://doi.org/10.1038/s41467-025-59177-4
[doi]
7. Vizioli, L., Moeller, S., Dowdle, L., Akçakaya, M., De Martino, F., Yacoub, E., & Uğurbil, K. (2021). Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging. Nature Communications, 12(1), 5181. https://doi.org/10.1038/s41467-021-25431-8
[doi]
8. Schaefer, A., Kong, R., Gordon, E. M., Laumann, T. O., Zuo, X.-N., Holmes, A. J., Eickhoff, S. B., & Yeo, B. T. T. (2018). Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI. Cerebral Cortex, 28(9), 3095–3114. https://doi.org/10.1093/cercor/bhx179
[doi]
9. Vos de Wael, R., Benkarim, O., Paquola, C., Lariviere, S., Royer, J., Tavakol, S., Xu, T., Hong, S.-J., Langs, G., Valk, S., Misic, B., Milham, M., Margulies, D., Smallwood, J., & Bernhardt, B. C. (2020). BrainSpace: A toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets. Communications Biology, 3(1), 103. https://doi.org/10.1038/s42003-020-0794-7
[doi]
10. Saberi, A., Paquola, C., Wagstyl, K., Hettwer, M. D., Bernhardt, B. C., Eickhoff, S. B., & Valk, S. L. (2023). The regional variation of laminar thickness in the human isocortex is related to cortical hierarchy and interregional connectivity. PLOS Biology, 21(11), e3002365. https://doi.org/10.1371/journal.pbio.3002365
[doi]
11. Paquola, C., Wael, R. V. D., Wagstyl, K., Bethlehem, R. A. I., Hong, S.-J., Seidlitz, J., Bullmore, E. T., Evans, A. C., Misic, B., Margulies, D. S., Smallwood, J., & Bernhardt, B. C. (2019). Microstructural and functional gradients are increasingly dissociated in transmodal cortices. PLOS Biology, 17(5), e3000284. https://doi.org/10.1371/journal.pbio.3000284
[doi]
12. Paquola, C., Garber, M., Frässle, S., Royer, J., Zhou, Y., Tavakol, S., Rodriguez-Cruces, R., Cabalo, D. G., Valk, S., Eickhoff, S. B., Margulies, D. S., Evans, A., Amunts, K., Jefferies, E., Smallwood, J., & Bernhardt, B. C. (2025). The architecture of the human default mode network explored through cytoarchitecture, wiring and signal flow. Nature Neuroscience, 28(3), 654–664. https://doi.org/10.1038/s41593-024-01868-0
[doi]
13. Demeter, D. V., & Greene, D. J. (2025). The promise of precision functional mapping for neuroimaging in psychiatry. Neuropsychopharmacology, 50(1), 16–28. https://doi.org/10.1038/s41386-024-01941-z
[doi]