{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T00:52:24Z","timestamp":1791247944855,"version":"4.1.0"},"reference-count":196,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T00:00:00Z","timestamp":1781740800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T00:00:00Z","timestamp":1791244800000},"content-version":"vor","delay-in-days":110,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/100000025","name":"U.S. Department of Health & Human Services | NIH | National Institute of Mental Health","doi-asserted-by":"publisher","award":["R01MH120080"],"award-info":[{"award-number":["R01MH120080"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"U.S. Department of Health & Human Services | NIH | National Institute of Mental Health","doi-asserted-by":"publisher","award":["R01MH120080"],"award-info":[{"award-number":["R01MH120080"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Commun Biol"],"DOI":"10.1038\/s42003-026-10508-1","type":"journal-article","created":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T15:59:51Z","timestamp":1781798391000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Molecular and cellular correlates of human cortical lateralization"],"prefix":"10.1038","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5733-0743","authenticated-orcid":false,"given":"Lo\u00efc","family":"Labache","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0866-3477","authenticated-orcid":false,"given":"Sidhant","family":"Chopra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2630-0063","authenticated-orcid":false,"given":"Xi-Han","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6583-803X","authenticated-orcid":false,"given":"Avram J.","family":"Holmes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,18]]},"reference":[{"key":"10508_CR1","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.tics.2012.12.004","volume":"17","author":"P-Y Herv\u00e9","year":"2013","unstructured":"Herv\u00e9, P.-Y., Zago, L., Petit, L., Mazoyer, B. & Tzourio-Mazoyer, N. Revisiting human hemispheric specialization with neuroimaging. Trends Cogn. Sci. 17, 69\u201380 (2013).","journal-title":"Trends Cogn. Sci."},{"key":"10508_CR2","doi-asserted-by":"crossref","unstructured":"Wan, B. et al. Heritability and cross-species comparisons of human cortical functional organization asymmetry. Elife 11, e77215 (2022).","DOI":"10.7554\/eLife.77215"},{"key":"10508_CR3","doi-asserted-by":"publisher","first-page":"710","DOI":"10.1017\/S1355617717000376","volume":"23","author":"MC Corballis","year":"2017","unstructured":"Corballis, M. C. & H\u00e4berling, I. S. The many sides of hemispheric asymmetry: a selective review and outlook. J. Int. Neuropsychol. Soc. 23, 710\u2013718 (2017).","journal-title":"J. Int. Neuropsychol. Soc."},{"key":"10508_CR4","doi-asserted-by":"crossref","unstructured":"Labache, L. et al. Typical and atypical language brain organization based on intrinsic connectivity and multitask functional asymmetries. Elife 9, e58722 (2020).","DOI":"10.7554\/eLife.58722"},{"key":"10508_CR5","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-39131-y","volume":"14","author":"L Labache","year":"2023","unstructured":"Labache, L., Ge, T., Yeo, B. & Holmes, A. Language network lateralization is reflected throughout the macroscale functional organization of cortex. Nat. Commun. 14, 3405 (2023).","journal-title":"Nat. Commun."},{"key":"10508_CR6","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/0093-934X(83)90044-5","volume":"20","author":"MP Bryden","year":"1983","unstructured":"Bryden, M. P., H\u00e9caen, H. & DeAgostini, M. Patterns of cerebral organization. Brain Lang. 20, 249\u2013262 (1983).","journal-title":"Brain Lang."},{"key":"10508_CR7","doi-asserted-by":"publisher","first-page":"e9682","DOI":"10.1371\/journal.pone.0009682","volume":"5","author":"G Badzakova-Trajkov","year":"2010","unstructured":"Badzakova-Trajkov, G., H\u00e4berling, I. S., Roberts, R. P. & Corballis, M. C. Cerebral asymmetries: complementary and independent processes. PLoS ONE 5, e9682 (2010).","journal-title":"PLoS ONE"},{"key":"10508_CR8","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/j.neuron.2017.02.045","volume":"94","author":"O G\u00fcnt\u00fcrk\u00fcn","year":"2017","unstructured":"G\u00fcnt\u00fcrk\u00fcn, O. & Ocklenburg, S. Ontogenesis of Lateralization. Neuron 94, 249\u2013263 (2017).","journal-title":"Neuron"},{"key":"10508_CR9","doi-asserted-by":"crossref","unstructured":"Heger, P., Zheng, W., Rottmann, A., Panfilio, K. A. & Wiehe, T. The genetic factors of bilaterian evolution. Elife 9, e45530 (2020).","DOI":"10.7554\/eLife.45530"},{"key":"10508_CR10","doi-asserted-by":"publisher","first-page":"1293","DOI":"10.1093\/brain\/123.7.1293","volume":"123","author":"MS Gazzaniga","year":"2000","unstructured":"Gazzaniga, M. S. Cerebral specialization and interhemispheric communication: does the corpus callosum enable the human condition? Brain 123, 1293\u20131326 (2000).","journal-title":"Brain"},{"key":"10508_CR11","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/B978-0-443-15646-5.00028-2","volume":"208","author":"CA Marzi","year":"2025","unstructured":"Marzi, C. A. Interhemispheric differences in visual attention. Handb. Clin. Neurol. 208, 115\u2013125 (2025).","journal-title":"Handb. Clin. Neurol."},{"key":"10508_CR12","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1515\/revneuro-2015-0052","volume":"27","author":"S Ocklenburg","year":"2016","unstructured":"Ocklenburg, S., Friedrich, P., G\u00fcnt\u00fcrk\u00fcn, O. & Gen\u00e7, E. Intrahemispheric white matter asymmetries: the missing link between brain structure and functional lateralization? Rev. Neurosci. 27, 465\u2013480 (2016).","journal-title":"Rev. Neurosci."},{"key":"10508_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.plrev.2019.06.002","volume":"30","author":"G Vingerhoets","year":"2019","unstructured":"Vingerhoets, G. Phenotypes in hemispheric functional segregation? Perspectives and challenges. Phys. Life Rev. 30, 1\u201318 (2019).","journal-title":"Phys. Life Rev."},{"key":"10508_CR14","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.plrev.2019.07.004","volume":"30","author":"C Francks","year":"2019","unstructured":"Francks, C. In search of the biological roots of typical and atypical human brain asymmetry: Comment on \u2018Phenotypes in hemispheric functional segregation? Perspectives and challenges\u2019 by Guy Vingerhoets. Phys. Life Rev. 30, 22\u201324 (2019).","journal-title":"Phys. Life Rev."},{"key":"10508_CR15","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/B978-0-444-64150-2.00011-3","volume":"173","author":"N Tzourio-Mazoyer","year":"2020","unstructured":"Tzourio-Mazoyer, N., Zago, L., Cochet, H. & Crivello, F. Development of handedness, anatomical and functional brain lateralization. Handb. Clin. Neurol. 173, 99\u2013105 (2020).","journal-title":"Handb. Clin. Neurol."},{"key":"10508_CR16","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1002\/1096-8628(20010715)101:4<370::AID-AJMG1223>3.0.CO;2-G","volume":"101","author":"DH Geschwind","year":"2001","unstructured":"Geschwind, D. H. & Miller, B. L. Molecular approaches to cerebral laterality: development and neurodegeneration. Am. J. Med. Genet. 101, 370\u2013381 (2001).","journal-title":"Am. J. Med. Genet."},{"key":"10508_CR17","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1002\/hbm.25033","volume":"43","author":"X-Z Kong","year":"2022","unstructured":"Kong, X.-Z. et al. Mapping brain asymmetry in health and disease through the ENIGMA consortium. Hum. Brain Mapp. 43, 167\u2013181 (2022).","journal-title":"Hum. Brain Mapp."},{"key":"10508_CR18","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/B978-0-443-15646-5.00026-9","volume":"208","author":"E Bruner","year":"2025","unstructured":"Bruner, E. Hemispheric asymmetries, paleoneurology, and the evolution of the human genus. Handb. Clin. Neurol. 208, 231\u2013240 (2025).","journal-title":"Handb. Clin. Neurol."},{"key":"10508_CR19","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1002\/hbm.20523","volume":"30","author":"R Everts","year":"2009","unstructured":"Everts, R. et al. Strengthening of laterality of verbal and visuospatial functions during childhood and adolescence. Hum. Brain Mapp. 30, 473\u2013483 (2009).","journal-title":"Hum. Brain Mapp."},{"key":"10508_CR20","doi-asserted-by":"publisher","first-page":"2268","DOI":"10.1523\/JNEUROSCI.4682-09.2010","volume":"30","author":"J Hill","year":"2010","unstructured":"Hill, J. et al. A surface-based analysis of hemispheric asymmetries and folding of cerebral cortex in term-born human infants. J. Neurosci. 30, 2268\u20132276 (2010).","journal-title":"J. Neurosci."},{"key":"10508_CR21","doi-asserted-by":"publisher","first-page":"2009","DOI":"10.1038\/s41593-024-01736-x","volume":"27","author":"H-M Dong","year":"2024","unstructured":"Dong, H.-M. et al. Ventral attention network connectivity is linked to cortical maturation and cognitive ability in childhood. Nat. Neurosci. 27, 2009\u20132020 (2024).","journal-title":"Nat. Neurosci."},{"key":"10508_CR22","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1038\/s41582-024-00974-8","volume":"20","author":"S Ocklenburg","year":"2024","unstructured":"Ocklenburg, S. et al. Clinical implications of brain asymmetries. Nat. Rev. Neurol. 20, 383\u2013394 (2024).","journal-title":"Nat. Rev. Neurol."},{"key":"10508_CR23","doi-asserted-by":"publisher","first-page":"1230531","DOI":"10.1126\/science.1230531","volume":"340","author":"DVM Bishop","year":"2013","unstructured":"Bishop, D. V. M. Cerebral asymmetry and language development: cause, correlate, or consequence? Science 340, 1230531 (2013).","journal-title":"Science"},{"key":"10508_CR24","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1037\/bul0000471","volume":"151","author":"J Packheiser","year":"2025","unstructured":"Packheiser, J. et al. Handedness in mental and neurodevelopmental disorders: a systematic review and second-order meta-analysis. Psychol. Bull. 151, 476\u2013512 (2025).","journal-title":"Psychol. Bull."},{"key":"10508_CR25","doi-asserted-by":"crossref","unstructured":"Mundorf, A. & Ocklenburg, S. The Clinical Neuroscience of Lateralization (Routledge, 2021).","DOI":"10.4324\/9781003082507"},{"key":"10508_CR26","first-page":"802","volume":"6","author":"DL Floris","year":"2021","unstructured":"Floris, D. L. et al. Atypical brain asymmetry in autism\u2014a candidate for clinically meaningful stratification. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 6, 802\u2013812 (2021).","journal-title":"Biol. Psychiatry Cogn. Neurosci. Neuroimaging"},{"key":"10508_CR27","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.neuropsychologia.2014.01.008","volume":"56","author":"M Zeev-Wolf","year":"2014","unstructured":"Zeev-Wolf, M., Goldstein, A., Levkovitz, Y. & Faust, M. Fine-coarse semantic processing in schizophrenia: a reversed pattern of hemispheric dominance. Neuropsychologia 56, 119\u2013128 (2014).","journal-title":"Neuropsychologia"},{"key":"10508_CR28","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1016\/B978-0-443-15646-5.00008-7","volume":"208","author":"S Banjac","year":"2025","unstructured":"Banjac, S. & Baciu, M. Unveiling the hemispheric specialization of language: organization and neuroplasticity. Handb. Clin. Neurol. 208, 351\u2013365 (2025).","journal-title":"Handb. Clin. Neurol."},{"key":"10508_CR29","doi-asserted-by":"publisher","first-page":"1569","DOI":"10.1038\/s41593-022-01186-3","volume":"25","author":"JY Hansen","year":"2022","unstructured":"Hansen, J. Y. et al. Mapping neurotransmitter systems to the structural and functional organization of the human neocortex. Nat. Neurosci. 25, 1569\u20131581 (2022).","journal-title":"Nat. Neurosci."},{"key":"10508_CR30","doi-asserted-by":"publisher","first-page":"1013","DOI":"10.1093\/brain\/121.6.1013","volume":"121","author":"MM Mesulam","year":"1998","unstructured":"Mesulam, M. M. From sensation to cognition. Brain 121, 1013\u20131052 (1998).","journal-title":"Brain"},{"key":"10508_CR31","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/B978-0-444-63639-3.00024-4","volume":"150","author":"N Palomero-Gallagher","year":"2018","unstructured":"Palomero-Gallagher, N. & Zilles, K. Cyto- and receptor architectonic mapping of the human brain. Handb. Clin. Neurol. 150, 355\u2013387 (2018).","journal-title":"Handb. Clin. Neurol."},{"key":"10508_CR32","doi-asserted-by":"crossref","unstructured":"H\u00e4nisch, B. et al. Cerebral chemoarchitecture shares organizational traits with brain structure and function. Elife 12, e83843 (2023).","DOI":"10.7554\/eLife.83843"},{"key":"10508_CR33","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1002\/ana.410280502","volume":"28","author":"MM Mesulam","year":"1990","unstructured":"Mesulam, M. M. Large-scale neurocognitive networks and distributed processing for attention, language, and memory. Ann. Neurol. 28, 597\u2013613 (1990).","journal-title":"Ann. Neurol."},{"key":"10508_CR34","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.cortex.2014.07.007","volume":"63","author":"K Zilles","year":"2015","unstructured":"Zilles, K., Bacha-Trams, M., Palomero-Gallagher, N., Amunts, K. & Friederici, A. D. Common molecular basis of the sentence comprehension network revealed by neurotransmitter receptor fingerprints. Cortex 63, 79\u201389 (2015).","journal-title":"Cortex"},{"key":"10508_CR35","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1037\/0033-295X.91.2.185","volume":"91","author":"DM Tucker","year":"1984","unstructured":"Tucker, D. M. & Williamson, P. A. Asymmetric neural control systems in human self-regulation. Psychol. Rev. 91, 185\u2013215 (1984).","journal-title":"Psychol. Rev."},{"key":"10508_CR36","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1038\/nrn1009","volume":"4","author":"AW Toga","year":"2003","unstructured":"Toga, A. W. & Thompson, P. M. Mapping brain asymmetry. Nat. Rev. Neurosci. 4, 37\u201348 (2003).","journal-title":"Nat. Rev. Neurosci."},{"key":"10508_CR37","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1038\/nrn1930","volume":"7","author":"T Sun","year":"2006","unstructured":"Sun, T. & Walsh, C. A. Molecular approaches to brain asymmetry and handedness. Nat. Rev. Neurosci. 7, 655\u2013662 (2006).","journal-title":"Nat. Rev. Neurosci."},{"key":"10508_CR38","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2306990120","volume":"120","author":"Z Liao","year":"2023","unstructured":"Liao, Z. et al. Hemispheric asymmetry in cortical thinning reflects intrinsic organization of the neurotransmitter systems and homotopic functional connectivity. Proc. Natl. Acad. Sci. USA. 120, e2306990120 (2023).","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10508_CR39","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0006-8993(82)90472-3","volume":"234","author":"SD Glick","year":"1982","unstructured":"Glick, S. D., Ross, D. A. & Hough, L. B. Lateral asymmetry of neurotransmitters in human brain. Brain Res. 234, 53\u201363 (1982).","journal-title":"Brain Res"},{"key":"10508_CR40","doi-asserted-by":"crossref","unstructured":"Johansen, A. et al. An in vivo high-resolution human brain atlas of synaptic density. J. Neurosci. 44, e1750232024 (2024).","DOI":"10.1523\/JNEUROSCI.1750-23.2024"},{"key":"10508_CR41","doi-asserted-by":"publisher","unstructured":"Zhang, X.-H. et al. The cell-type underpinnings of the human functional cortical connectome. Nat. Neurosci. https:\/\/doi.org\/10.1038\/s41593-024-01812-2 (2024).","DOI":"10.1038\/s41593-024-01812-2"},{"key":"10508_CR42","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-03811-x","volume":"9","author":"KM Anderson","year":"2018","unstructured":"Anderson, K. M. et al. Gene expression links functional networks across cortex and striatum. Nat. Commun. 9, 1428 (2018).","journal-title":"Nat. Commun."},{"key":"10508_CR43","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-16710-x","volume":"11","author":"KM Anderson","year":"2020","unstructured":"Anderson, K. M. et al. Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk. Nat. Commun. 11, 2889 (2020).","journal-title":"Nat. Commun."},{"key":"10508_CR44","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2401687121","volume":"121","author":"MMK Wong","year":"2024","unstructured":"Wong, M. M. K. et al. The neocortical infrastructure for language involves region-specific patterns of laminar gene expression. Proc. Natl. Acad. Sci. USA. 121, e2401687121 (2024).","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10508_CR45","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1016\/j.tem.2024.08.006","volume":"35","author":"C Kelly","year":"2024","unstructured":"Kelly, C. et al. A platform to map the mind-mitochondria connection and the hallmarks of psychobiology: the MiSBIE study. Trends Endocrinol. Metab. 35, 884\u2013901 (2024).","journal-title":"Trends Endocrinol. Metab."},{"key":"10508_CR46","doi-asserted-by":"publisher","unstructured":"Mosharov, E. V. et al. A human brain map of mitochondrial respiratory capacity and diversity. Naturehttps:\/\/doi.org\/10.1038\/s41586-025-08740-6 (2025).","DOI":"10.1038\/s41586-025-08740-6"},{"key":"10508_CR47","doi-asserted-by":"publisher","unstructured":"Jamadar, S. D., Behler, A., Deery, H. & Breakspear, M. The metabolic costs of cognition. Trends. Cogn. Sci. https:\/\/doi.org\/10.1016\/j.tics.2024.11.010 (2025).","DOI":"10.1016\/j.tics.2024.11.010"},{"key":"10508_CR48","doi-asserted-by":"crossref","unstructured":"Wan, B., Riedl, V., Castrillon, G., Kirschner, M. & Valk, S. L. Bridging glucose metabolism and intrinsic functional organization of the human cortex. Commun. Biol. 9, 377 (2026).","DOI":"10.1038\/s42003-026-09693-w"},{"key":"10508_CR49","doi-asserted-by":"publisher","first-page":"859","DOI":"10.1007\/s00429-018-1810-2","volume":"224","author":"L Labache","year":"2019","unstructured":"Labache, L. et al. A SENtence Supramodal Areas AtlaS (SENSAAS) based on multiple task-induced activation mapping and graph analysis of intrinsic connectivity in 144 healthy right-handers. Brain Struct. Funct. 224, 859\u2013882 (2019).","journal-title":"Brain Struct. Funct."},{"key":"10508_CR50","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1162\/imag_a_00208","volume":"2","author":"L Labache","year":"2024","unstructured":"Labache, L., Petit, L., Joliot, M. & Zago, L. Atlas for the Lateralized Visuospatial Attention Networks (ALANs): insights from fMRI and network analyses. Imaging Neurosci. 2, 1\u201322 (2024).","journal-title":"Imaging Neurosci."},{"key":"10508_CR51","doi-asserted-by":"publisher","first-page":"1225","DOI":"10.1016\/j.neuroimage.2015.02.071","volume":"124","author":"B Mazoyer","year":"2016","unstructured":"Mazoyer, B. et al. BIL&GIN: A neuroimaging, cognitive, behavioral, and genetic database for the study of human brain lateralization. Neuroimage 124, 1225\u20131231 (2016).","journal-title":"Neuroimage"},{"key":"10508_CR52","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.jneumeth.2015.07.013","volume":"254","author":"M Joliot","year":"2015","unstructured":"Joliot, M. et al. AICHA: an atlas of intrinsic connectivity of homotopic areas. J. Neurosci. Methods 254, 46\u201359 (2015).","journal-title":"J. Neurosci. Methods"},{"key":"10508_CR53","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.116745","volume":"216","author":"H-T Wang","year":"2020","unstructured":"Wang, H.-T. et al. Finding the needle in a high-dimensional haystack: canonical correlation analysis for neuroscientists. Neuroimage 216, 116745 (2020).","journal-title":"Neuroimage"},{"key":"10508_CR54","doi-asserted-by":"publisher","first-page":"e1004994","DOI":"10.1371\/journal.pcbi.1004994","volume":"12","author":"D Bzdok","year":"2016","unstructured":"Bzdok, D. et al. Formal models of the network co-occurrence underlying mental operations. PLoS Comput. Biol. 12, e1004994 (2016).","journal-title":"PLoS Comput. Biol."},{"key":"10508_CR55","doi-asserted-by":"publisher","first-page":"1565","DOI":"10.1038\/nn.4125","volume":"18","author":"SM Smith","year":"2015","unstructured":"Smith, S. M. et al. A positive-negative mode of population covariation links brain connectivity, demographics and behavior. Nat. Neurosci. 18, 1565\u20131567 (2015).","journal-title":"Nat. Neurosci."},{"key":"10508_CR56","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1038\/s41583-022-00601-9","volume":"23","author":"F V\u00e1\u0161a","year":"2022","unstructured":"V\u00e1\u0161a, F. & Mi\u0161i\u0107, B. Null models in network neuroscience. Nat. Rev. Neurosci. 23, 493\u2013504 (2022).","journal-title":"Nat. Rev. Neurosci."},{"key":"10508_CR57","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1016\/B978-0-12-823384-9.00013-X","volume":"185","author":"MD Stockbridge","year":"2022","unstructured":"Stockbridge, M. D. Better language through chemistry: augmenting speech-language therapy with pharmacotherapy in the treatment of aphasia. Handb. Clin. Neurol. 185, 261\u2013272 (2022).","journal-title":"Handb. Clin. Neurol."},{"key":"10508_CR58","doi-asserted-by":"crossref","unstructured":"Tzourio-Mazoyer, N., Labache, L., Zago, L., Hesling, I. & Mazoyer, B. Neural support of manual preference revealed by BOLD variations during right and left finger-tapping in a sample of 287 healthy adults balanced for handedness. Laterality 26, 398\u2013420 (2021).","DOI":"10.1080\/1357650X.2020.1862142"},{"key":"10508_CR59","doi-asserted-by":"publisher","first-page":"1125","DOI":"10.1152\/jn.00338.2011","volume":"106","author":"BTT Yeo","year":"2011","unstructured":"Yeo, B. T. T. et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 1125\u20131165 (2011).","journal-title":"J. Neurophysiol."},{"key":"10508_CR60","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1146\/annurev-cellbio-111822-114733","volume":"40","author":"JC Landoni","year":"2024","unstructured":"Landoni, J. C., Kleele, T., Winter, J., Stepp, W. & Manley, S. Mitochondrial structure, dynamics, and physiology: light microscopy to disentangle the network. Annu. Rev. Cell Dev. Biol. 40, 219\u2013240 (2024).","journal-title":"Annu. Rev. Cell Dev. Biol."},{"key":"10508_CR61","doi-asserted-by":"publisher","first-page":"13642","DOI":"10.1073\/pnas.1303346110","volume":"110","author":"D Tomasi","year":"2013","unstructured":"Tomasi, D., Wang, G.-J. & Volkow, N. D. Energetic cost of brain functional connectivity. Proc. Natl. Acad. Sci. USA. 110, 13642\u201313647 (2013).","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10508_CR62","doi-asserted-by":"publisher","first-page":"1433","DOI":"10.1177\/0271678X241237974","volume":"44","author":"T Volpi","year":"2024","unstructured":"Volpi, T. et al. The brain\u2019s \u2018dark energy\u2019 puzzle: How strongly is glucose metabolism linked to resting-state brain activity? J. Cereb. Blood Flow. Metab. 44, 1433\u20131449 (2024).","journal-title":"J. Cereb. Blood Flow. Metab."},{"key":"10508_CR63","doi-asserted-by":"publisher","first-page":"1731","DOI":"10.1038\/s41593-019-0479-z","volume":"22","author":"C Fecher","year":"2019","unstructured":"Fecher, C. et al. Cell-type-specific profiling of brain mitochondria reveals functional and molecular diversity. Nat. Neurosci. 22, 1731\u20131742 (2019).","journal-title":"Nat. Neurosci."},{"key":"10508_CR64","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-39941-0","volume":"14","author":"AM Rosenberg","year":"2023","unstructured":"Rosenberg, A. M. et al. Brain mitochondrial diversity and network organization predict anxiety-like behavior in male mice. Nat. Commun. 14, 4726 (2023).","journal-title":"Nat. Commun."},{"key":"10508_CR65","doi-asserted-by":"crossref","unstructured":"O\u2019Dell, R. S. et al. Association of synaptic density and glucose metabolism with cognitive performance in early Alzheimer\u2019s disease: a PET imaging study with [11C]UCB-J and [18F]FDG. Alzheimers. Dement. 18, e062595 (2022).","DOI":"10.1002\/alz.062595"},{"key":"10508_CR66","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1073\/pnas.1321881111","volume":"111","author":"M Picard","year":"2014","unstructured":"Picard, M. & McEwen, B. S. Mitochondria impact brain function and cognition. Proc. Natl. Acad. Sci. USA. 111, 7\u20138 (2014).","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10508_CR67","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B Stat. Methodol. 57, 289\u2013300 (1995).","journal-title":"J. R. Stat. Soc. Ser. B Stat. Methodol."},{"key":"10508_CR68","doi-asserted-by":"publisher","DOI":"10.1126\/science.ade9516","volume":"382","author":"NL Jorstad","year":"2023","unstructured":"Jorstad, N. L. et al. Comparative transcriptomics reveals human-specific cortical features. Science 382, eade9516 (2023).","journal-title":"Science"},{"key":"10508_CR69","doi-asserted-by":"publisher","first-page":"12574","DOI":"10.1073\/pnas.1608282113","volume":"113","author":"DS Margulies","year":"2016","unstructured":"Margulies, D. S. et al. Situating the default-mode network along a principal gradient of macroscale cortical organization. Proc. Natl. Acad. Sci. USA. 113, 12574\u201312579 (2016).","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10508_CR70","doi-asserted-by":"publisher","unstructured":"Salvo, J. J. et al. The ventral visual stream for reading converges on the transmodal language network. Preprint at https:\/\/doi.org\/10.1101\/2025.09.17.676937 (2025).","DOI":"10.1101\/2025.09.17.676937"},{"key":"10508_CR71","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-54243-9","volume":"15","author":"B Wan","year":"2024","unstructured":"Wan, B. et al. Microstructural asymmetry in the human cortex. Nat. Commun. 15, 10124 (2024).","journal-title":"Nat. Commun."},{"key":"10508_CR72","doi-asserted-by":"publisher","first-page":"1006773","DOI":"10.3389\/fnsyn.2022.1006773","volume":"14","author":"S Moberg","year":"2022","unstructured":"Moberg, S. & Takahashi, N. Neocortical layer 5 subclasses: from cellular properties to roles in behavior. Front Synaptic Neurosci. 14, 1006773 (2022).","journal-title":"Front Synaptic Neurosci."},{"key":"10508_CR73","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1093\/brain\/awad304","volume":"147","author":"W Wen","year":"2024","unstructured":"Wen, W., Cheng, J. & Tang, Y. Brain perivascular macrophages: current understanding and future prospects. Brain 147, 39\u201355 (2024).","journal-title":"Brain"},{"key":"10508_CR74","doi-asserted-by":"publisher","first-page":"750","DOI":"10.1038\/s41586-022-05056-7","volume":"608","author":"JA Stogsdill","year":"2022","unstructured":"Stogsdill, J. A. et al. Pyramidal neuron subtype diversity governs microglia states in the neocortex. Nature 608, 750\u2013756 (2022).","journal-title":"Nature"},{"key":"10508_CR75","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1007\/s00424-024-02923-2","volume":"476","author":"X Mao","year":"2024","unstructured":"Mao, X. & Staiger, J. F. Multimodal cortical neuronal cell type classification. Pflug. Arch. 476, 721\u2013733 (2024).","journal-title":"Pflug. Arch."},{"key":"10508_CR76","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1038\/nn.3917","volume":"18","author":"KD Harris","year":"2015","unstructured":"Harris, K. D. & Shepherd, G. M. G. The neocortical circuit: themes and variations. Nat. Neurosci. 18, 170\u2013181 (2015).","journal-title":"Nat. Neurosci."},{"key":"10508_CR77","doi-asserted-by":"publisher","first-page":"1415","DOI":"10.1152\/jn.00753.2019","volume":"124","author":"RM Braga","year":"2020","unstructured":"Braga, R. M., DiNicola, L. M., Becker, H. C. & Buckner, R. L. Situating the left-lateralized language network in the broader organization of multiple specialized large-scale distributed networks. J. Neurophysiol. 124, 1415\u20131448 (2020).","journal-title":"J. Neurophysiol."},{"key":"10508_CR78","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1038\/s41586-021-03941-1","volume":"598","author":"H Peng","year":"2021","unstructured":"Peng, H. et al. Morphological diversity of single neurons in molecularly defined cell types. Nature 598, 174\u2013181 (2021).","journal-title":"Nature"},{"key":"10508_CR79","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2023.120010","volume":"273","author":"X Yan","year":"2023","unstructured":"Yan, X. et al. Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity. Neuroimage 273, 120010 (2023).","journal-title":"Neuroimage"},{"key":"10508_CR80","unstructured":"Sneath, P. H. & Sokal, R. R. Numerical Taxonomy. The Principles and Practice of Numerical Classification (a Series of Books in Biology) Vol. 573 (WF Freeman and Co., 1973)."},{"key":"10508_CR81","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1080\/01621459.1963.10500845","volume":"58","author":"JH Ward Jr","year":"1963","unstructured":"Ward, J. H. Jr Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc. 58, 236\u2013244 (1963).","journal-title":"J. Am. Stat. Assoc."},{"key":"10508_CR82","doi-asserted-by":"crossref","unstructured":"Charrad, M., Ghazzali, N., Boiteau, V. & Niknafs, A. NbClust: an R Package for determining the relevant number of clusters in a data set. J. Stat. Softw. 61, 1\u201336 (2014).","DOI":"10.18637\/jss.v061.i06"},{"key":"10508_CR83","doi-asserted-by":"crossref","unstructured":"Kong, R. Q. et al. A network correspondence toolbox for quantitative evaluation of novel neuroimaging results. Nat. Commun. 16, 2930 (2025).","DOI":"10.1038\/s41467-025-58176-9"},{"key":"10508_CR84","doi-asserted-by":"publisher","first-page":"297","DOI":"10.2307\/1932409","volume":"26","author":"LR Dice","year":"1945","unstructured":"Dice, L. R. Measures of the amount of ecologic association between species. Ecology 26, 297\u2013302 (1945).","journal-title":"Ecology"},{"key":"10508_CR85","unstructured":"S\u00f8rensen, T. A Method of Establishing Groups of Equal Amplitude in Plant Sociology Based on Similarity of Species Content and Its Application to Analyses of the Vegetation on Danish Commons (1948)."},{"key":"10508_CR86","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1038\/nrn755","volume":"3","author":"M Corbetta","year":"2002","unstructured":"Corbetta, M. & Shulman, G. L. Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 3, 201\u2013215 (2002).","journal-title":"Nat. Rev. Neurosci."},{"key":"10508_CR87","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1038\/s41583-024-00895-x","volume":"26","author":"NUF Dosenbach","year":"2025","unstructured":"Dosenbach, N. U. F., Raichle, M. E. & Gordon, E. M. The brain\u2019s action-mode network. Nat. Rev. Neurosci. 26, 158\u2013168 (2025).","journal-title":"Nat. Rev. Neurosci."},{"key":"10508_CR88","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1016\/j.neuron.2011.09.006","volume":"72","author":"JD Power","year":"2011","unstructured":"Power, J. D. et al. Functional network organization of the human brain. Neuron 72, 665\u2013678 (2011).","journal-title":"Neuron"},{"key":"10508_CR89","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1038\/156177a0","volume":"156","author":"GA Barnard","year":"1945","unstructured":"Barnard, G. A. A new test for 2 \u00d7 2 tables. Nature 156, 177\u2013177 (1945).","journal-title":"Nature"},{"key":"10508_CR90","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.neuron.2012.09.011","volume":"76","author":"SJ Sara","year":"2012","unstructured":"Sara, S. J. & Bouret, S. Orienting and reorienting: the locus coeruleus mediates cognition through arousal. Neuron 76, 130\u2013141 (2012).","journal-title":"Neuron"},{"key":"10508_CR91","doi-asserted-by":"publisher","first-page":"2047","DOI":"10.1162\/jocn.2009.21280","volume":"21","author":"JM Fuster","year":"2009","unstructured":"Fuster, J. M. Cortex and memory: emergence of a new paradigm. J. Cogn. Neurosci. 21, 2047\u20132072 (2009).","journal-title":"J. Cogn. Neurosci."},{"key":"10508_CR92","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1016\/j.tins.2005.09.002","volume":"28","author":"S Bouret","year":"2005","unstructured":"Bouret, S. & Sara, S. J. Network reset: a simplified overarching theory of locus coeruleus noradrenaline function. Trends Neurosci. 28, 574\u2013582 (2005).","journal-title":"Trends Neurosci."},{"key":"10508_CR93","doi-asserted-by":"publisher","first-page":"1151","DOI":"10.1126\/science.1209603","volume":"334","author":"EJ Hermans","year":"2011","unstructured":"Hermans, E. J. et al. Stress-related noradrenergic activity prompts large-scale neural network reconfiguration. Science 334, 1151\u20131153 (2011).","journal-title":"Science"},{"key":"10508_CR94","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2022.119455","volume":"260","author":"NL Taylor","year":"2022","unstructured":"Taylor, N. L. et al. Structural connections between the noradrenergic and cholinergic system shape the dynamics of functional brain networks. Neuroimage 260, 119455 (2022).","journal-title":"Neuroimage"},{"key":"10508_CR95","doi-asserted-by":"publisher","unstructured":"O\u2019Callaghan, C. Noradrenaline drives learning across scales of time and neurobiological organisation. Trends Cogn. Sci. https:\/\/doi.org\/10.1016\/j.tics.2025.07.003 (2025).","DOI":"10.1016\/j.tics.2025.07.003"},{"key":"10508_CR96","doi-asserted-by":"publisher","first-page":"2167","DOI":"10.1038\/s41593-024-01755-8","volume":"27","author":"C Grimm","year":"2024","unstructured":"Grimm, C. et al. Tonic and burst-like locus coeruleus stimulation distinctly shift network activity across the cortical hierarchy. Nat. Neurosci. 27, 2167\u20132177 (2024).","journal-title":"Nat. Neurosci."},{"key":"10508_CR97","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/B978-0-443-15646-5.00025-7","volume":"208","author":"L Veronelli","year":"2025","unstructured":"Veronelli, L. & Vallar, G. Left- and right-side unilateral spatial neglect: Hemispheric differences. Handb. Clin. Neurol. 208, 127\u2013154 (2025).","journal-title":"Handb. Clin. Neurol."},{"key":"10508_CR98","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1038\/s41386-021-01100-8","volume":"47","author":"R Cools","year":"2022","unstructured":"Cools, R. & Arnsten, A. F. T. Neuromodulation of prefrontal cortex cognitive function in primates: the powerful roles of monoamines and acetylcholine. Neuropsychopharmacology 47, 309\u2013328 (2022).","journal-title":"Neuropsychopharmacology"},{"key":"10508_CR99","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1038\/s41593-021-00824-6","volume":"24","author":"JM Shine","year":"2021","unstructured":"Shine, J. M. et al. Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics. Nat. Neurosci. 24, 765\u2013776 (2021).","journal-title":"Nat. Neurosci."},{"key":"10508_CR100","doi-asserted-by":"crossref","unstructured":"Francks, C. In Human Language 595\u2013608 (The MIT Press, 2019).","DOI":"10.7551\/mitpress\/10841.003.0050"},{"key":"10508_CR101","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/B978-0-443-15646-5.00029-4","volume":"208","author":"Z Sha","year":"2025","unstructured":"Sha, Z. & Francks, C. Large-scale genetic mapping for human brain asymmetry. Handb. Clin. Neurol. 208, 241\u2013254 (2025).","journal-title":"Handb. Clin. Neurol."},{"key":"10508_CR102","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1016\/0896-6273(88)90187-0","volume":"1","author":"DP McCobb","year":"1988","unstructured":"McCobb, D. P., Cohan, C. S., Connor, J. A. & Kater, S. B. Interactive effects of serotonin and acetylcholine on neurite elongation. Neuron 1, 377\u2013385 (1988).","journal-title":"Neuron"},{"key":"10508_CR103","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-46277-w","volume":"15","author":"D Schijven","year":"2024","unstructured":"Schijven, D., Soheili-Nezhad, S., Fisher, S. E. & Francks, C. Exome-wide analysis implicates rare protein-altering variants in human handedness. Nat. Commun. 15, 2632 (2024).","journal-title":"Nat. Commun."},{"key":"10508_CR104","doi-asserted-by":"publisher","DOI":"10.1111\/gbb.12572","volume":"18","author":"A Carrion-Castillo","year":"2019","unstructured":"Carrion-Castillo, A. et al. Genome sequencing for rightward hemispheric language dominance. Genes Brain Behav. 18, e12572 (2019).","journal-title":"Genes Brain Behav."},{"key":"10508_CR105","doi-asserted-by":"publisher","unstructured":"Mazoyer, B. et al. Gaussian mixture modeling of hemispheric lateralization for language in a large sample of healthy individuals balanced for handedness. PLoS ONE https:\/\/doi.org\/10.1371\/journal.pone.0101165 (2014).","DOI":"10.1371\/journal.pone.0101165"},{"key":"10508_CR106","doi-asserted-by":"publisher","first-page":"1142","DOI":"10.1038\/s41551-024-01242-2","volume":"8","author":"AI Luppi","year":"2024","unstructured":"Luppi, A. I. et al. Contributions of network structure, chemoarchitecture and diagnostic categories to transitions between cognitive topographies. Nat. Biomed. Eng. 8, 1142\u20131161 (2024).","journal-title":"Nat. Biomed. Eng."},{"key":"10508_CR107","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2213880120","volume":"120","author":"D Schijven","year":"2023","unstructured":"Schijven, D. et al. Large-scale analysis of structural brain asymmetries in schizophrenia via the ENIGMA consortium. Proc. Natl. Acad. Sci. USA. 120, e2213880120 (2023).","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"10508_CR108","doi-asserted-by":"publisher","first-page":"7652","DOI":"10.1038\/s41380-021-01204-z","volume":"26","author":"Z Sha","year":"2021","unstructured":"Sha, Z., Schijven, D. & Francks, C. Patterns of brain asymmetry associated with polygenic risks for autism and schizophrenia implicate language and executive functions but not brain masculinization. Mol. Psychiatry 26, 7652\u20137660 (2021).","journal-title":"Mol. Psychiatry"},{"key":"10508_CR109","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.neures.2010.06.013","volume":"68","author":"D Hecht","year":"2010","unstructured":"Hecht, D. Depression and the hyperactive right-hemisphere. Neurosci. Res. 68, 77\u201387 (2010).","journal-title":"Neurosci. Res."},{"key":"10508_CR110","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1111\/j.1469-8986.2009.00958.x","volume":"47","author":"JD Herrington","year":"2010","unstructured":"Herrington, J. D. et al. Localization of asymmetric brain function in emotion and depression. Psychophysiology 47, 442\u2013454 (2010).","journal-title":"Psychophysiology"},{"key":"10508_CR111","doi-asserted-by":"publisher","unstructured":"Cocuzza, C. V. et al. Brain network dynamics reflect psychiatric illness status and transdiagnostic symptom profiles across health and disease. bioRxiv : the preprint server for biology, 2025.05.23.655864. https:\/\/doi.org\/10.1101\/2025.05.23.655864 (2025).","DOI":"10.1101\/2025.05.23.655864"},{"key":"10508_CR112","doi-asserted-by":"crossref","unstructured":"Tzourio-Mazoyer, N. & Courtin, C. In Studies in Language Companion Series 237\u2013256 (John Benjamins Publishing Company, 2013).","DOI":"10.1075\/slcs.144.10tzo"},{"key":"10508_CR113","doi-asserted-by":"publisher","first-page":"2899","DOI":"10.1093\/cercor\/bhs277","volume":"23","author":"R Tomer","year":"2013","unstructured":"Tomer, R. et al. Dopamine asymmetries predict orienting bias in healthy individuals. Cereb. Cortex 23, 2899\u20132904 (2013).","journal-title":"Cereb. Cortex"},{"key":"10508_CR114","doi-asserted-by":"publisher","first-page":"e53643","DOI":"10.1371\/journal.pone.0053643","volume":"8","author":"S Ocklenburg","year":"2013","unstructured":"Ocklenburg, S. et al. Cholecystokinin A receptor (CCKAR) gene variation is associated with language lateralization. PLoS ONE 8, e53643 (2013).","journal-title":"PLoS ONE"},{"key":"10508_CR115","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1242\/jeb.196.1.263","volume":"196","author":"RD Blakely","year":"1994","unstructured":"Blakely, R. D., De Felice, L. J. & Hartzell, H. C. Molecular physiology of norepinephrine and serotonin transporters. J. Exp. Biol. 196, 263\u2013281 (1994).","journal-title":"J. Exp. Biol."},{"key":"10508_CR116","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1056\/NEJM199602293340907","volume":"334","author":"PA Insel","year":"1996","unstructured":"Insel, P. A. Seminars in medicine of the Beth Israel Hospital, Boston. Adrenergic receptors\u2014evolving concepts and clinical implications. N. Engl. J. Med. 334, 580\u2013585 (1996).","journal-title":"N. Engl. J. Med."},{"key":"10508_CR117","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1038\/nature17654","volume":"533","author":"H Pontzer","year":"2016","unstructured":"Pontzer, H. et al. Metabolic acceleration and the evolution of human brain size and life history. Nature 533, 390\u2013392 (2016).","journal-title":"Nature"},{"key":"10508_CR118","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.adi7632","volume":"9","author":"G Castrillon","year":"2023","unstructured":"Castrillon, G. et al. An energy costly architecture of neuromodulators for human brain evolution and cognition. Sci. Adv. 9, eadi7632 (2023).","journal-title":"Sci. Adv."},{"key":"10508_CR119","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1038\/s41583-023-00675-z","volume":"24","author":"P Vanderhaeghen","year":"2023","unstructured":"Vanderhaeghen, P. & Polleux, F. Developmental mechanisms underlying the evolution of human cortical circuits. Nat. Rev. Neurosci. 24, 213\u2013232 (2023).","journal-title":"Nat. Rev. Neurosci."},{"key":"10508_CR120","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1111\/j.1749-6632.1977.tb41913.x","volume":"299","author":"J Levy","year":"1977","unstructured":"Levy, J. The mammalian brain and the adaptive advantage of cerebral asymmetry. Ann. N. Y Acad. Sci. 299, 264\u2013272 (1977).","journal-title":"Ann. N. Y Acad. Sci."},{"key":"10508_CR121","doi-asserted-by":"publisher","first-page":"3086","DOI":"10.1016\/j.neuropsychologia.2010.06.020","volume":"48","author":"G Badzakova-Trajkov","year":"2010","unstructured":"Badzakova-Trajkov, G., H\u00e4berling, I. S. & Corballis, M. C. Cerebral asymmetries in monozygotic twins: an fMRI study. Neuropsychologia 48, 3086\u20133093 (2010).","journal-title":"Neuropsychologia"},{"key":"10508_CR122","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1038\/s41586-021-03813-8","volume":"598","author":"J Berg","year":"2021","unstructured":"Berg, J. et al. Human neocortical expansion involves glutamatergic neuron diversification. Nature 598, 151\u2013158 (2021).","journal-title":"Nature"},{"key":"10508_CR123","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1038\/nature12983","volume":"505","author":"A Kepecs","year":"2014","unstructured":"Kepecs, A. & Fishell, G. Interneuron cell types are fit to function. Nature 505, 318\u2013326 (2014).","journal-title":"Nature"},{"key":"10508_CR124","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1037\/rev0000361","volume":"130","author":"R Chin","year":"2023","unstructured":"Chin, R., Chang, S. W. C. & Holmes, A. J. Beyond cortex: the evolution of the human brain. Psychol. Rev. 130, 285\u2013307 (2023).","journal-title":"Psychol. Rev."},{"key":"10508_CR125","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.cobeha.2021.03.029","volume":"40","author":"LM DiNicola","year":"2021","unstructured":"DiNicola, L. M. & Buckner, R. L. Precision estimates of parallel distributed association networks: evidence for domain specialization and implications for evolution and development. Curr. Opin. Behav. Sci. 40, 120\u2013129 (2021).","journal-title":"Curr. Opin. Behav. Sci."},{"key":"10508_CR126","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1017\/S0140525X0528010X","volume":"28","author":"TJ Crow","year":"2005","unstructured":"Crow, T. J. The cerebral torque and directional asymmetry for hand use are correlates of the capacity for language in homo sapiens. Behav. Brain Sci. 28, 595\u2013596 (2005).","journal-title":"Behav. Brain Sci."},{"key":"10508_CR127","doi-asserted-by":"publisher","first-page":"2075","DOI":"10.1016\/j.neuron.2021.04.024","volume":"109","author":"G Hartwigsen","year":"2021","unstructured":"Hartwigsen, G., Bengio, Y. & Bzdok, D. How does hemispheric specialization contribute to human-defining cognition? Neuron 109, 2075\u20132090 (2021).","journal-title":"Neuron"},{"key":"10508_CR128","doi-asserted-by":"crossref","unstructured":"Roger, E. et al. When age tips the balance: a dual mechanism affecting hemispheric specialization for language. Imaging Neurosci. 3, IMAG.a.63 (2025).","DOI":"10.1162\/IMAG.a.63"},{"key":"10508_CR129","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3389\/fnana.2014.00015","volume":"8","author":"MA Hofman","year":"2014","unstructured":"Hofman, M. A. Evolution of the human brain: when bigger is better. Front Neuroanat. 8, 15 (2014).","journal-title":"Front Neuroanat."},{"key":"10508_CR130","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1111\/j.1467-8721.2008.00581.x","volume":"17","author":"WD Hopkins","year":"2008","unstructured":"Hopkins, W. D. & Cantalupo, C. Theoretical speculations on the evolutionary origins of hemispheric specialization. Curr. Dir. Psychol. Sci. 17, 233\u2013237 (2008).","journal-title":"Curr. Dir. Psychol. Sci."},{"key":"10508_CR131","doi-asserted-by":"publisher","first-page":"fcab211","DOI":"10.1093\/braincomms\/fcab211","volume":"3","author":"N Lubben","year":"2021","unstructured":"Lubben, N., Ensink, E., Coetzee, G. A. & Labrie, V. The enigma and implications of brain hemispheric asymmetry in neurodegenerative diseases. Brain Commun. 3, fcab211 (2021).","journal-title":"Brain Commun."},{"key":"10508_CR132","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1038\/s41562-020-00956-y","volume":"5","author":"G Cuellar-Partida","year":"2021","unstructured":"Cuellar-Partida, G. et al. Genome-wide association study identifies 48 common genetic variants associated with handedness. Nat. Hum. Behav. 5, 59\u201370 (2021).","journal-title":"Nat. Hum. Behav."},{"key":"10508_CR133","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-42515-0","volume":"9","author":"CGF de Kovel","year":"2019","unstructured":"de Kovel, C. G. F. & Francks, C. The molecular genetics of hand preference revisited. Sci. Rep. 9, 5986 (2019).","journal-title":"Sci. Rep."},{"key":"10508_CR134","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1016\/S0896-6273(01)00285-9","volume":"30","author":"JM Fuster","year":"2001","unstructured":"Fuster, J. M. The prefrontal cortex-an update: time is of the essence. Neuron 30, 319\u2013333 (2001).","journal-title":"Neuron"},{"key":"10508_CR135","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1109\/JPROC.2014.2306250","volume":"102","author":"JM Fuster","year":"2014","unstructured":"Fuster, J. M. The prefrontal cortex makes the brain a preadaptive system. Proc. IEEE Inst. Electr. Electron. Eng. 102, 417\u2013426 (2014).","journal-title":"Proc. IEEE Inst. Electr. Electron. Eng."},{"key":"10508_CR136","doi-asserted-by":"publisher","first-page":"3075","DOI":"10.1007\/s00429-019-01951-4","volume":"224","author":"I Hesling","year":"2019","unstructured":"Hesling, I., Labache, L., Joliot, M. & Tzourio-Mazoyer, N. Large-scale plurimodal networks common to listening to, producing and reading word lists: an fMRI study combining task-induced activation and intrinsic connectivity in 144 right-handers. Brain Struct. Funct. 224, 3075\u20133094 (2019).","journal-title":"Brain Struct. Funct."},{"key":"10508_CR137","doi-asserted-by":"publisher","first-page":"1255","DOI":"10.1038\/s41562-023-01670-1","volume":"7","author":"J Wu","year":"2023","unstructured":"Wu, J., Li, J., Eickhoff, S. B., Scheinost, D. & Genon, S. The challenges and prospects of brain-based prediction of behaviour. Nat. Hum. Behav. 7, 1255\u20131264 (2023).","journal-title":"Nat. Hum. Behav."},{"key":"10508_CR138","doi-asserted-by":"publisher","first-page":"488","DOI":"10.1038\/s41583-021-00473-5","volume":"22","author":"F Pulverm\u00fcller","year":"2021","unstructured":"Pulverm\u00fcller, F., Tomasello, R., Henningsen-Schomers, M. R. & Wennekers, T. Biological constraints on neural network models of cognitive function. Nat. Rev. Neurosci. 22, 488\u2013502 (2021).","journal-title":"Nat. Rev. Neurosci."},{"key":"10508_CR139","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1037\/0003-066X.56.2.128","volume":"56","author":"GJ Meyer","year":"2001","unstructured":"Meyer, G. J. et al. Psychological testing and psychological assessment: a review of evidence and issues. Am. Psychol. 56, 128\u2013165 (2001).","journal-title":"Am. Psychol."},{"key":"10508_CR140","doi-asserted-by":"publisher","first-page":"5871","DOI":"10.1002\/hbm.23770","volume":"38","author":"L Zago","year":"2017","unstructured":"Zago, L. et al. Predicting hemispheric dominance for language production in healthy individuals using support vector machine. Hum. Brain Mapp. 38, 5871\u20135889 (2017).","journal-title":"Hum. Brain Mapp."},{"key":"10508_CR141","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.tics.2024.09.010","volume":"29","author":"A Segal","year":"2025","unstructured":"Segal, A. et al. Embracing variability in the search for biological mechanisms of psychiatric illness. Trends Cogn. Sci. 29, 85\u201399 (2025).","journal-title":"Trends Cogn. Sci."},{"key":"10508_CR142","doi-asserted-by":"publisher","first-page":"1223","DOI":"10.1016\/S0896-6273(00)80638-8","volume":"21","author":"JM Fuster","year":"1998","unstructured":"Fuster, J. M. Linkage at the top. Neuron 21, 1223\u20131224 (1998).","journal-title":"Neuron"},{"key":"10508_CR143","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1080\/1357650X.2023.2199963","volume":"28","author":"G Vingerhoets","year":"2023","unstructured":"Vingerhoets, G. et al. Laterality indices consensus initiative (LICI): a Delphi expert survey report on recommendations to record, assess, and report asymmetry in human behavioural and brain research. Laterality 28, 122\u2013191 (2023).","journal-title":"Laterality"},{"key":"10508_CR144","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1016\/j.mri.2007.10.010","volume":"26","author":"ML Seghier","year":"2008","unstructured":"Seghier, M. L. Laterality index in functional MRI: methodological issues. Magn. Reson Imaging 26, 594\u2013601 (2008).","journal-title":"Magn. Reson Imaging"},{"key":"10508_CR145","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1016\/j.ejrad.2004.11.004","volume":"55","author":"M Baciu","year":"2005","unstructured":"Baciu, M., Juphard, A., Cousin, E. & Bas, J. F. L. Evaluating fMRI methods for assessing hemispheric language dominance in healthy subjects. Eur. J. Radio. 55, 209\u2013218 (2005).","journal-title":"Eur. J. Radio."},{"key":"10508_CR146","doi-asserted-by":"publisher","first-page":"e71275","DOI":"10.1371\/journal.pone.0071275","volume":"8","author":"JA Nielsen","year":"2013","unstructured":"Nielsen, J. A., Zielinski, B. A., Ferguson, M. A., Lainhart, J. E. & Anderson, J. S. An evaluation of the left-brain vs. right-brain hypothesis with resting state functional connectivity magnetic resonance imaging. PLoS ONE 8, e71275 (2013).","journal-title":"PLoS ONE"},{"key":"10508_CR147","doi-asserted-by":"publisher","first-page":"1861","DOI":"10.1006\/nimg.2002.1327","volume":"17","author":"F Li\u00e9geois","year":"2002","unstructured":"Li\u00e9geois, F. et al. A direct test for lateralization of language activation using fMRI: comparison with invasive assessments in children with epilepsy. Neuroimage 17, 1861\u20131867 (2002).","journal-title":"Neuroimage"},{"key":"10508_CR148","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1162\/nol_a_00136","volume":"5","author":"DVM Bishop","year":"2024","unstructured":"Bishop, D. V. M., Woodhead, Z. V. J. & Watkins, K. E. Approaches to measuring language lateralisation: an exploratory study comparing two fMRI methods and functional transcranial doppler ultrasound. Neurobiol. Lang. 5, 409\u2013431 (2024).","journal-title":"Neurobiol. Lang."},{"key":"10508_CR149","doi-asserted-by":"publisher","first-page":"4331","DOI":"10.1038\/s41380-023-02220-x","volume":"28","author":"B Wan","year":"2023","unstructured":"Wan, B. et al. Diverging asymmetry of intrinsic functional organization in autism. Mol. Psychiatry 28, 4331\u20134341 (2023).","journal-title":"Mol. Psychiatry"},{"key":"10508_CR150","doi-asserted-by":"publisher","first-page":"1733","DOI":"10.1093\/cercor\/bhv007","volume":"26","author":"M McAvoy","year":"2016","unstructured":"McAvoy, M. et al. Unmasking language lateralization in human brain intrinsic activity. Cereb. Cortex 26, 1733\u20131746 (2016).","journal-title":"Cereb. Cortex"},{"key":"10508_CR151","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1038\/mp.2017.183","volume":"22","author":"M Aghourian","year":"2017","unstructured":"Aghourian, M. et al. Quantification of brain cholinergic denervation in Alzheimer\u2019s disease using PET imaging with [F]-FEOBV. Mol. Psychiatry 22, 1531\u20131538 (2017).","journal-title":"Mol. Psychiatry"},{"key":"10508_CR152","doi-asserted-by":"publisher","first-page":"1199","DOI":"10.1038\/jcbfm.2015.53","volume":"35","author":"K Alakurtti","year":"2015","unstructured":"Alakurtti, K. et al. Long-term test-retest reliability of striatal and extrastriatal dopamine D2\/3 receptor binding: study with [(11)C]raclopride and high-resolution PET. J. Cereb. Blood Flow. Metab. 35, 1199\u20131205 (2015).","journal-title":"J. Cereb. Blood Flow. Metab."},{"key":"10508_CR153","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.sleep.2018.12.020","volume":"58","author":"M-A Bedard","year":"2019","unstructured":"Bedard, M.-A. et al. Brain cholinergic alterations in idiopathic REM sleep behaviour disorder: a PET imaging study with F-FEOBV. Sleep. Med. 58, 35\u201341 (2019).","journal-title":"Sleep. Med."},{"key":"10508_CR154","first-page":"120","volume":"37","author":"V Beliveau","year":"2017","unstructured":"Beliveau, V. et al. A high-resolution in vivo atlas of the human brain\u2019s serotonin system. J. Neurosci. 37, 120\u2013128 (2017).","journal-title":"J. Neurosci."},{"key":"10508_CR155","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1002\/syn.20696","volume":"64","author":"Y-S Ding","year":"2010","unstructured":"Ding, Y.-S. et al. PET imaging of the effects of age and cocaine on the norepinephrine transporter in the human brain using (S,S)-[(11)C]O-methylreboxetine and HRRT. Synapse 64, 30\u201338 (2010).","journal-title":"Synapse"},{"key":"10508_CR156","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1007\/s00259-015-3167-6","volume":"43","author":"JM DuBois","year":"2016","unstructured":"DuBois, J. M. et al. Characterization of age\/sex and the regional distribution of mGluR5 availability in the healthy human brain measured by high-resolution [(11)C]ABP688 PET. Eur. J. Nucl. Med. Mol. Imaging 43, 152\u2013162 (2016).","journal-title":"Eur. J. Nucl. Med. Mol. Imaging"},{"key":"10508_CR157","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-22444-0","volume":"8","author":"J Dukart","year":"2018","unstructured":"Dukart, J. et al. Cerebral blood flow predicts differential neurotransmitter activity. Sci. Rep. 8, 4074 (2018).","journal-title":"Sci. Rep."},{"key":"10508_CR158","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1038\/jcbfm.2009.195","volume":"30","author":"J-D Gallezot","year":"2010","unstructured":"Gallezot, J.-D. et al. Kinetic modeling of the serotonin 5-HT(1B) receptor radioligand [(11)C]P943 in humans. J. Cereb. Blood Flow. Metab. 30, 196\u2013210 (2010).","journal-title":"J. Cereb. Blood Flow. Metab."},{"key":"10508_CR159","doi-asserted-by":"publisher","first-page":"1095","DOI":"10.1177\/0271678X16650697","volume":"37","author":"J-D Gallezot","year":"2017","unstructured":"Gallezot, J.-D. et al. Determination of receptor occupancy in the presence of mass dose: [C]GSK189254 PET imaging of histamine H receptor occupancy by PF-03654746. J. Cereb. Blood Flow. Metab. 37, 1095\u20131107 (2017).","journal-title":"J. Cereb. Blood Flow. Metab."},{"key":"10508_CR160","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2021.118194","volume":"237","author":"M Galovic","year":"2021","unstructured":"Galovic, M. et al. Validation of a combined image derived input function and venous sampling approach for the quantification of [F]GE-179 PET binding in the brain. Neuroimage 237, 118194 (2021).","journal-title":"Neuroimage"},{"key":"10508_CR161","doi-asserted-by":"publisher","first-page":"1056","DOI":"10.1007\/s00259-016-3590-3","volume":"44","author":"S Hesse","year":"2017","unstructured":"Hesse, S. et al. Central noradrenaline transporter availability in highly obese, non-depressed individuals. Eur. J. Nucl. Med. Mol. Imaging 44, 1056\u20131064 (2017).","journal-title":"Eur. J. Nucl. Med. Mol. Imaging"},{"key":"10508_CR162","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.neuroimage.2016.07.026","volume":"141","author":"AT Hillmer","year":"2016","unstructured":"Hillmer, A. T. et al. Imaging of cerebral \u03b14\u03b22* nicotinic acetylcholine receptors with (-)-[(18)F]Flubatine PET: implementation of bolus plus constant infusion and sensitivity to acetylcholine in human brain. Neuroimage 141, 71\u201380 (2016).","journal-title":"Neuroimage"},{"key":"10508_CR163","doi-asserted-by":"publisher","first-page":"1498","DOI":"10.1038\/s41386-020-0662-7","volume":"45","author":"N Jaworska","year":"2020","unstructured":"Jaworska, N. et al. Extra-striatal D receptor availability in youth at risk for addiction. Neuropsychopharmacology 45, 1498\u20131505 (2020).","journal-title":"Neuropsychopharmacology"},{"key":"10508_CR164","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1007\/s00259-017-3645-0","volume":"44","author":"S Kaller","year":"2017","unstructured":"Kaller, S. et al. Test-retest measurements of dopamine D-type receptors using simultaneous PET\/MRI imaging. Eur. J. Nucl. Med. Mol. Imaging 44, 1025\u20131032 (2017).","journal-title":"Eur. J. Nucl. Med. Mol. Imaging"},{"key":"10508_CR165","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.116922","volume":"217","author":"T Kantonen","year":"2020","unstructured":"Kantonen, T. et al. Interindividual variability and lateralization of \u03bc-opioid receptors in the human brain. Neuroimage 217, 116922 (2020).","journal-title":"Neuroimage"},{"key":"10508_CR166","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1016\/j.neuroimage.2018.10.013","volume":"184","author":"H Laurikainen","year":"2019","unstructured":"Laurikainen, H. et al. Sex difference in brain CB1 receptor availability in man. Neuroimage 184, 834\u2013842 (2019).","journal-title":"Neuroimage"},{"key":"10508_CR167","doi-asserted-by":"publisher","first-page":"553","DOI":"10.2967\/jnumed.120.246967","volume":"62","author":"M Naganawa","year":"2021","unstructured":"Naganawa, M. et al. First-in-human assessment of C-LSN3172176, an M1 muscarinic acetylcholine receptor PET radiotracer. J. Nucl. Med. 62, 553\u2013560 (2021).","journal-title":"J. Nucl. Med."},{"key":"10508_CR168","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01164-1","volume":"9","author":"M Norgaard","year":"2022","unstructured":"Norgaard, M. et al. PET-BIDS, an extension to the brain imaging data structure for positron emission tomography. Sci. Data 9, 65 (2022).","journal-title":"Sci. Data"},{"key":"10508_CR169","doi-asserted-by":"publisher","first-page":"1313","DOI":"10.1038\/jcbfm.2015.46","volume":"35","author":"MD Normandin","year":"2015","unstructured":"Normandin, M. D. et al. Imaging the cannabinoid CB1 receptor in humans with [11C]OMAR: assessment of kinetic analysis methods, test-retest reproducibility, and gender differences. J. Cereb. Blood Flow. Metab. 35, 1313\u20131322 (2015).","journal-title":"J. Cereb. Blood Flow. Metab."},{"key":"10508_CR170","doi-asserted-by":"publisher","first-page":"1445","DOI":"10.2967\/jnumed.117.206516","volume":"59","author":"R Radhakrishnan","year":"2018","unstructured":"Radhakrishnan, R. et al. Age-related change in 5-HT receptor availability in healthy male volunteers measured with C-GSK215083 PET. J. Nucl. Med. 59, 1445\u20131450 (2018).","journal-title":"J. Nucl. Med."},{"key":"10508_CR171","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1038\/jcbfm.2014.237","volume":"35","author":"CM Sandiego","year":"2015","unstructured":"Sandiego, C. M. et al. Reference region modeling approaches for amphetamine challenge studies with [11C]FLB 457 and PET. J. Cereb. Blood Flow. Metab. 35, 623\u2013629 (2015).","journal-title":"J. Cereb. Blood Flow. Metab."},{"key":"10508_CR172","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.2967\/jnumed.111.101626","volume":"53","author":"T Sasaki","year":"2012","unstructured":"Sasaki, T. et al. Quantification of dopamine transporter in human brain using PET with 18F-FE-PE2I. J. Nucl. Med. 53, 1065\u20131073 (2012).","journal-title":"J. Nucl. Med."},{"key":"10508_CR173","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1016\/j.neuroimage.2012.07.001","volume":"63","author":"M Savli","year":"2012","unstructured":"Savli, M. et al. Normative database of the serotonergic system in healthy subjects using multi-tracer PET. Neuroimage 63, 447\u2013459 (2012).","journal-title":"Neuroimage"},{"key":"10508_CR174","doi-asserted-by":"publisher","first-page":"1179","DOI":"10.1007\/s00259-018-4252-4","volume":"46","author":"K Smart","year":"2019","unstructured":"Smart, K. et al. Sex differences in [C]ABP688 binding: a positron emission tomography study of mGlu5 receptors. Eur. J. Nucl. Med. Mol. Imaging 46, 1179\u20131183 (2019).","journal-title":"Eur. J. Nucl. Med. Mol. Imaging"},{"key":"10508_CR175","doi-asserted-by":"publisher","first-page":"822","DOI":"10.1177\/0271678X17737693","volume":"39","author":"CT Smith","year":"2019","unstructured":"Smith, C. T. et al. Partial-volume correction increases estimated dopamine D2-like receptor binding potential and reduces adult age differences. J. Cereb. Blood Flow. Metab. 39, 822\u2013833 (2019).","journal-title":"J. Cereb. Blood Flow. Metab."},{"key":"10508_CR176","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1016\/j.neuroimage.2011.07.001","volume":"59","author":"PS Talbot","year":"2012","unstructured":"Talbot, P. S. et al. Extended characterisation of the serotonin 2A (5-HT2A) receptor-selective PET radiotracer 11C-MDL100907 in humans: quantitative analysis, test-retest reproducibility, and vulnerability to endogenous 5-HT tone. Neuroimage 59, 271\u2013285 (2012).","journal-title":"Neuroimage"},{"key":"10508_CR177","first-page":"360","volume":"6","author":"O Turtonen","year":"2021","unstructured":"Turtonen, O. et al. Adult attachment system links with brain mu opioid receptor availability in vivo. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 6, 360\u2013369 (2021).","journal-title":"Biol. Psychiatry Cogn. Neurosci. Neuroimaging"},{"key":"10508_CR178","doi-asserted-by":"publisher","unstructured":"Clayden, J., Modat, M., Presles, B., Anthopoulos, T. & Daga, P. RNiftyReg: image registration using the \u2018NiftyReg\u2019 library. CRAN: Contributed Packages. https:\/\/doi.org\/10.32614\/cran.package.rniftyreg (The R Foundation, 2010).","DOI":"10.32614\/cran.package.rniftyreg"},{"key":"10508_CR179","doi-asserted-by":"publisher","DOI":"10.1126\/science.adf6812","volume":"382","author":"NL Jorstad","year":"2023","unstructured":"Jorstad, N. L. et al. Transcriptomic cytoarchitecture reveals principles of human neocortex organization. Science 382, eadf6812 (2023).","journal-title":"Science"},{"key":"10508_CR180","unstructured":"R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2021)."},{"key":"10508_CR181","doi-asserted-by":"publisher","unstructured":"Muschelli, J. neurobase: \u2018Neuroconductor\u2019 base package with helper functions for \u2018nifti\u2019 objects. CRAN: Contributed Packages. https:\/\/doi.org\/10.32614\/cran.package.neurobase (The R Foundation, 2016).","DOI":"10.32614\/cran.package.neurobase"},{"key":"10508_CR182","doi-asserted-by":"publisher","unstructured":"Clayden, J., Cox, B. & Jenkinson, M. RNifti: Fast R and C++ access to NIfTI images. CRAN: Contributed Packages. https:\/\/doi.org\/10.32614\/cran.package.rnifti (The R Foundation, 2016).","DOI":"10.32614\/cran.package.rnifti"},{"key":"10508_CR183","doi-asserted-by":"publisher","unstructured":"Wickham, H., Fran\u00e7ois, R., Henry, L., M\u00fcller, K. & Vaughan, D. dplyr: a grammar of data manipulation. CRAN: Contributed Packages. https:\/\/doi.org\/10.32614\/cran.package.dplyr (The R Foundation, 2014).","DOI":"10.32614\/cran.package.dplyr"},{"key":"10508_CR184","doi-asserted-by":"crossref","unstructured":"Rorden, C. Surfice: visualizing neuroimaging meshes, tractography streamlines and connectomes. Nat. Methods 22,1615\u20131616 (2025).","DOI":"10.1038\/s41592-025-02764-6"},{"key":"10508_CR185","doi-asserted-by":"publisher","first-page":"1615","DOI":"10.1038\/s41592-025-02764-6","volume":"22","author":"C Rorden","year":"2025","unstructured":"Rorden, C. Surfice: visualizing neuroimaging meshes, tractography streamlines and connectomes. Nat. Methods 22, 1615\u20131616 (2025).","journal-title":"Nat. Methods"},{"key":"10508_CR186","doi-asserted-by":"publisher","first-page":"1","DOI":"10.52294\/001c.85104","volume":"3","author":"S Chopra","year":"2023","unstructured":"Chopra, S., Labache, L., Dhamala, E., Orchard, E. R. & Holmes, A. A practical guide for generating reproducible and programmatic neuroimaging visualizations. Aperture Neuro 3, 1\u201320 (2023).","journal-title":"Aperture Neuro"},{"key":"10508_CR187","doi-asserted-by":"publisher","unstructured":"Finos, L. Acca: A canonical correlation analysis with inferential guaranties. CRAN: Contributed Packages. https:\/\/doi.org\/10.32614\/cran.package.acca (The R Foundation, 2022).","DOI":"10.32614\/cran.package.acca"},{"key":"10508_CR188","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1038\/s42003-024-05869-4","volume":"7","author":"M Helmer","year":"2024","unstructured":"Helmer, M. et al. On the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations. Commun. Biol. 7, 217 (2024).","journal-title":"Commun. Biol."},{"key":"10508_CR189","doi-asserted-by":"publisher","first-page":"3807","DOI":"10.1002\/hbm.25090","volume":"41","author":"X Zhuang","year":"2020","unstructured":"Zhuang, X., Yang, Z. & Cordes, D. A technical review of canonical correlation analysis for neuroscience applications. Hum. Brain Mapp. 41, 3807\u20133833 (2020).","journal-title":"Hum. Brain Mapp."},{"key":"10508_CR190","doi-asserted-by":"publisher","unstructured":"Blighe, K., Andrews, J. & Lun, A. PCAtools: PCAtools: Everything Principal Components Analysis. R package version 2.20.0, https:\/\/doi.org\/10.18129\/B9.bioc.PCAtoolshttps:\/\/bioconductor.org\/packages\/PCAtools (2021).","DOI":"10.18129\/B9.bioc.PCAtools"},{"key":"10508_CR191","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1093\/cercor\/bhx249","volume":"28","author":"F V\u00e1\u0161a","year":"2018","unstructured":"V\u00e1\u0161a, F. et al. Adolescent tuning of association cortex in human structural brain networks. Cereb. Cortex 28, 281\u2013294 (2018).","journal-title":"Cereb. Cortex"},{"key":"10508_CR192","doi-asserted-by":"publisher","first-page":"9658","DOI":"10.1523\/JNEUROSCI.0900-18.2018","volume":"38","author":"J Zimmermann","year":"2018","unstructured":"Zimmermann, J., Griffiths, J. D. & McIntosh, A. R. Unique mapping of structural and functional connectivity on cognition. J. Neurosci. 38, 9658\u20139667 (2018).","journal-title":"J. Neurosci."},{"key":"10508_CR193","doi-asserted-by":"publisher","unstructured":"Erguler, K. Barnard: Barnard\u2019s unconditional test. CRAN: Contributed Packages. https:\/\/doi.org\/10.32614\/cran.package.barnard (2011).","DOI":"10.32614\/cran.package.barnard"},{"key":"10508_CR194","doi-asserted-by":"publisher","unstructured":"Labache, L. loiclabache\/Labache_2025_MolCelLat: Labache_MolCelLat_250413 https:\/\/doi.org\/10.5281\/ZENODO.15207454 (Zenodo, 2025).","DOI":"10.5281\/ZENODO.15207454"},{"key":"10508_CR195","doi-asserted-by":"publisher","first-page":"117038","DOI":"10.1016\/j.neuroimage.2020.117038","volume":"220","author":"JB Burt","year":"2020","unstructured":"Burt, J. B., Helmer, M., Shinn, M., Anticevic, A. & Murray, J. D. Generative modeling of brain maps with spatial autocorrelation. Neuroimage 220, 117038 (2020).","journal-title":"Neuroimage"},{"key":"10508_CR196","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1038\/nature11405","volume":"489","author":"MJ Hawrylycz","year":"2012","unstructured":"Hawrylycz, M. J. et al. An anatomically comprehensive atlas of the adult human brain transcriptome. Nature 489, 391\u2013399 (2012).","journal-title":"Nature"}],"container-title":["Communications Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s42003-026-10508-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s42003-026-10508-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s42003-026-10508-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T00:03:17Z","timestamp":1791244997000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s42003-026-10508-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,18]]},"references-count":196,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["10508"],"URL":"https:\/\/doi.org\/10.1038\/s42003-026-10508-1","relation":{},"ISSN":["2399-3642"],"issn-type":[{"value":"2399-3642","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,18]]},"assertion":[{"value":"24 April 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 June 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 June 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Ethics"}}],"article-number":"1292"}}