Krienen FM*, Goldman M, Zhang Q, del Rosario R, Florio M, Machold R, Saunders A, Levandowski K, Zaniewski H, Schuman B, Wu C, Lutservitz A, Mullally CD, Reed N, Bien E, Bortolin L, Fernandez-Otero M, Lin J, Wysoker A, Nemesh J, Kulp D, Burns M, Tkachev V, Smith R, Walsh CA, Dimidschstein J, Rudy B, Kean L, Berretta S, Fishell G, Feng G, McCarroll SA*. Innovations in primate interneuron repertoire. Nature in press. [*corresponding author]
Saunders, A., Macosko, E., Wysoker, A., Goldman, M., Krienen, FM., de Rivera, H., et al. (2018). A Single-Cell Atlas of Cell Types, States, and Other Transcriptional Patterns from Nine Regions of the Adult Mouse Brain, Cell. 1–27. http://doi.org/10.1101/299081
Anderson KM, Krienen FM, Choi EY, Reinen JM, Yeo BTT, Holmes AJ. Gene expression links functionally coupled aspects of cortex and striatum. Nature Communications, in press
Charvet CJ, Stimpson CD, Kim YD, Raghanti MA, Lewandowski AH, Hof PR, Gómez-Robles A, Krienen FM, Sherwood CC. Gradients in cytoarchitectural landscapes of the isocortex: diprotodont marsupials in comparison to eutherian mammals. The Journal of Comparative Neurology 525(8), 1811-1826
Krienen FM, Yeo BTT, Ge T, Buckner RL, Sherwood CC. (2016) Transcriptional profiles of supragranular-enriched genes associate with corticocortical network architecture in the human brain. PNAS [PDF]
Yeo BTT, Krienen FM, Eickhoff SB, Yaakub SN, Fox PT, Buckner RL, Asplund CL, Chee MWL. (2015) Functional specialization and flexibility in human association cortex. Cerebral Cortex [PDF]
Krienen FM, Yeo BTT, Buckner RL. (2014) Reconfigurable state-dependent functional coupling modes cluster around a core functional architecture. Phil. Trans. R. Soc. B , 369(1653). [PDF]
Buckner RL,Krienen FM. (2013). The evolution of distributed networks in the human brain. Trends in Cognitive Sciences, 17(12).[PDF]
Yeo BTT, Krienen FM, Chee MW, Buckner RL. (2013). Estimates of segregation and overlap of functional connectivity networks in the human cerebral cortex. NeuroImage, 88.
Baker JT, Holmes AJ, Masters GA, Yeo BTT, Krienen FM, Buckner RL, Ongur D. (2013). Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder. JAMA Psychiatry.
Buckner RL, Krienen FM, Yeo BTT. (2013). Opportunities and limitations of intrinsic functional connectivity MRI. Nature Neuroscience, 16(7). [PDF]
Yeo BTT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, et al. (2011). The organization of the human cerebral cortex estimated by functional connectivity. Journal of Neurophysiology, 106(3). [PARCELLATIONS][VIDEOS][PDF]
Buckner RL, Krienen FM, Castellanos AC, Diaz J, Yeo BTT. (2011). The organization of the human cerebellum estimated by functional connectivity. Journal of Neurophysiology, 106(5). [PDF]
Krienen FM, Tu PC, Buckner RL (2010). Clan mentality: evidence that medial prefrontal cortex responds to close others. Journal of Neuroscience, 30(41). [PDF]
Buckner RL, Sepulcre J, Talukdar T, Krienen FM, Liu H, Hedden T, Andrews-Hanna JR, Sperling RA, Johnson KA. (2009). Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer’s disease. Journal of Neuroscience 29(6). [PDF]
We made the cover!!
Cover Picture: Large portions of the human cerebellum in the lateral and posterior hemispheres are functionally coupled with distinct regions in prefrontal cortex, while the anterior cerebellum is preferentially correlated with primary motor cortex. Spontaneous BOLD fluctuations measured during passive task states are constrained by known anatomical projections and can reflect polysynaptic connectivity; for these reasons functional connectivity MRI is a powerful method for mapping the topography of human cerebro-cerebellar circuits. See Krienen and Buckner. 2009. Segregated fronto-cerebellar circuits revealed by intrinsic functional connectivity. Cereb Cortex 19(10): 2498–2510.
Cover Picture: The social world of humans is complex and places great processing demands on the brain. The cover illustrates an individual’s social network, generated by the Facebook application Nexus. Each white node in the graph represents a person, and the edges connecting them are colored to emphasize differential social closeness—blue edges, clustered around the enlarged white center node, represent close social bonds, while bonds with those who are less socially close are colored orange. In their paper, Krienen et al. find that brain systems including medial prefrontal cortex (MPFC) are preferentially responsive when making inferences about others who are socially close to us, even if we believe we do not share their views. For more information, see the article by Krienen et al. in this issue (pages 13906–13915).