{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T10:14:09Z","timestamp":1778494449983,"version":"3.51.4"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T00:00:00Z","timestamp":1748044800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T00:00:00Z","timestamp":1748044800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Brain Topogr"],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1007\/s10548-025-01121-2","type":"journal-article","created":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T16:02:33Z","timestamp":1748102553000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Type-1 Diabetes Impacts Brain Microstructure and Anatomical Associations in Young and Well-Controlled Individuals"],"prefix":"10.1007","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5457-354X","authenticated-orcid":false,"given":"Geisa B.","family":"Gallardo-Moreno","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-4237-2976","authenticated-orcid":false,"given":"Yusniel","family":"Santos-Rodr\u00edguez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8182-6370","authenticated-orcid":false,"given":"Sarael","family":"Alcauter-Sol\u00f3rzano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7185-077X","authenticated-orcid":false,"given":"Aurora","family":"Espinoza-Valdez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4594-5270","authenticated-orcid":false,"given":"Andr\u00e9s A.","family":"Gonz\u00e1lez-Garrido","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,24]]},"reference":[{"key":"1121_CR1","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1016\/j.neucli","volume":"49","author":"FJ Alvarado-Rodr\u00edguez","year":"2019","unstructured":"Alvarado-Rodr\u00edguez FJ, Romo-V\u00e1zquez R, Gallardo-Moreno GB, V\u00e9lez-P\u00e9rez H, Gonz\u00e1lez-Garrido AA (2019) Type-1 diabetes shapes working memory processing strategies. Neurophysiol Clin 49:347\u2013357. https:\/\/doi.org\/10.1016\/j.neucli","journal-title":"Neurophysiol Clin"},{"key":"1121_CR2","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1016\/j.neuron.2010.02.005","volume":"65","author":"JR Andrews-Hanna","year":"2010","unstructured":"Andrews-Hanna JR, Reidler JS, Sepulcre J, Poulin R, Buckner RL (2010) Functional-anatomic fractionation of the brain\u2019s default network. Neuron 65:550\u2013562. https:\/\/doi.org\/10.1016\/j.neuron.2010.02.005","journal-title":"Neuron"},{"issue":"1","key":"1121_CR3","doi-asserted-by":"publisher","first-page":"1655","DOI":"10.1038\/s42003-024-07274-3","volume":"7","author":"GA Basile","year":"2024","unstructured":"Basile GA, Nozais V, Quartarone A, Giustiniani A, Ielo A, Cerasa A, Milardi D, Abdallah M, Thiebaut de Schotten M, Forkel SJ, Cacciola A (2024) Functional anatomy and topographical organization of the frontotemporal arcuate fasciculus. Commun Biol 7(1):1655. https:\/\/doi.org\/10.1038\/s42003-024-07274-3","journal-title":"Commun Biol"},{"key":"1121_CR11","first-page":"378","volume":"2","author":"E B\u00f6ber","year":"2005","unstructured":"B\u00f6ber E, B\u00fcy\u00fckgebiz A (2005) Hypoglycemia and its effects on the brain in children with type 1 diabetes mellitus. Pediatr Endocrinol Rev 2:378\u2013382","journal-title":"Pediatr Endocrinol Rev"},{"key":"1121_CR5","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.neuroimage.2006.09.018","volume":"34","author":"TEJ Behrens","year":"2007","unstructured":"Behrens TEJ, Berg HJ, Jbabdi S, Rushworth MFS, Woolrich MW (2007) Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? NeuroImage 34:144\u2013155. https:\/\/doi.org\/10.1016\/j.neuroimage.2006.09.018","journal-title":"NeuroImage"},{"key":"1121_CR6","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1007\/s00276-019-02244-5","volume":"41","author":"F Bernard","year":"2019","unstructured":"Bernard F, Zemmoura I, Ter Minassian A, Lem\u00e9e JM, Menei P (2019) Anatomical variability of the arcuate fasciculus: A systematical review. Surg Radiol Anat 41:889\u2013900. https:\/\/doi.org\/10.1007\/s00276-019-02244-5","journal-title":"Surg Radiol Anat"},{"key":"1121_CR8","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/S1474-4422(08)70021-8","volume":"7","author":"GJ Biessels","year":"2008","unstructured":"Biessels GJ, Deary IJ, Ryan CM (2008) Cognition and diabetes: a lifespan perspective. Lancet Neurol 7:184\u2013190. https:\/\/doi.org\/10.1016\/S1474-4422(08)70021-8","journal-title":"Lancet Neurol"},{"key":"1121_CR7","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s00125-019-04977-9","volume":"63","author":"GJ Biessels","year":"2020","unstructured":"Biessels GJ, Whitmer RA (2020) Cognitive dysfunction in diabetes: how to implement emerging guidelines. Diabetologia 63:3\u20139. https:\/\/doi.org\/10.1007\/s00125-019-04977-9","journal-title":"Diabetologia"},{"key":"1121_CR9","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1016\/j.tics.2011.10.001","volume":"15","author":"JR Binder","year":"2011","unstructured":"Binder JR, Desai RH (2011) The neurobiology of semantic memory. Trends Cogn Sci 15:527\u2013536. https:\/\/doi.org\/10.1016\/j.tics.2011.10.001","journal-title":"Trends Cogn Sci"},{"key":"1121_CR10","doi-asserted-by":"publisher","first-page":"2767","DOI":"10.1093\/cercor\/bhp055","volume":"19","author":"JR Binder","year":"2009","unstructured":"Binder JR, Desai RH, Graves WW, Conant LL (2009) Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. Cereb Cortex 19:2767\u20132796. https:\/\/doi.org\/10.1093\/cercor\/bhp055","journal-title":"Cereb Cortex"},{"key":"1121_CR12","doi-asserted-by":"publisher","first-page":"2322","DOI":"10.1152\/jn.00339.2011","volume":"106","author":"RL Buckner","year":"2011","unstructured":"Buckner RL, Krienen FM, Castellanos A, Diaz JC, Yeo BT (2011) The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol 106:2322\u20132345. https:\/\/doi.org\/10.1152\/jn.00339.2011","journal-title":"J Neurophysiol"},{"key":"1121_CR13","doi-asserted-by":"publisher","first-page":"10676","DOI":"10.1523\/JNEUROSCI.4793-12.2013","volume":"33","author":"Q Cao","year":"2013","unstructured":"Cao Q, Shu N, An L, Wang P, Sun L, Xia MR, Wang JH, Gong GL, Zang YF, Wang YF, He Y (2013) Probabilistic diffusion tractography and graph theory analysis reveal abnormal white matter structural connectivity networks in drug-naive boys with attention deficit\/hyperactivity disorder. J Neurosci 33:10676\u201310687. https:\/\/doi.org\/10.1523\/JNEUROSCI.4793-12.2013","journal-title":"J Neurosci"},{"key":"1121_CR14","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.nicl.2014.06.001","volume":"5","author":"M Demuru","year":"2014","unstructured":"Demuru M, van Duinkerken E, Fraschini M, Marrosu F, Snoek FJ, Barkhof F, Klein M, Diamant M, Hillebrand A (2014) Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients. NeuroImage Clin 5:69\u201376. https:\/\/doi.org\/10.1016\/j.nicl.2014.06.001","journal-title":"NeuroImage Clin"},{"key":"1121_CR15","doi-asserted-by":"publisher","first-page":"110645","DOI":"10.1016\/j.diabres.2023.110645","volume":"205","author":"M Dolatshahi","year":"2023","unstructured":"Dolatshahi M, Sanjari Moghaddam H, Saberi P, Mohammadi S, Aarabi MH (2023) Central nervous system microstructural alterations in type 1 diabetes mellitus: A systematic review of diffusion tensor imaging studies. Diabetes Res Clin Pract 205:110645. https:\/\/doi.org\/10.1016\/j.diabres.2023.110645","journal-title":"Diabetes Res Clin Pract"},{"key":"1121_CR16","doi-asserted-by":"publisher","first-page":"4279","DOI":"10.1523\/JNEUROSCI.1034-22.2023","volume":"43","author":"L Fibla","year":"2023","unstructured":"Fibla L, Forbes SH, McCarthy J, Mee K, Magnotta V, Deoni S, Cameron D, Spencer JP (2023) Language exposure and brain myelination in early development. J Neurosci 43:4279\u20134290. https:\/\/doi.org\/10.1523\/JNEUROSCI.1034-22.2023","journal-title":"J Neurosci"},{"key":"1121_CR17","doi-asserted-by":"publisher","first-page":"1435","DOI":"10.1007\/s00125-005-1833-0","volume":"48","author":"EA Gale","year":"2005","unstructured":"Gale EA (2005) Type 1 diabetes in the young: the harvest of sorrow goes on. Diabetologia 48:1435\u20131438. https:\/\/doi.org\/10.1007\/s00125-005-1833-0","journal-title":"Diabetologia"},{"key":"1121_CR19","doi-asserted-by":"publisher","first-page":"728","DOI":"10.1016\/j.neuron.2010.08.040","volume":"67","author":"JN Giedd","year":"2010","unstructured":"Giedd JN, Rapoport JL (2010) Structural MRI of pediatric brain development: what have we learned and where are we going? Neuron 67:728\u2013734. https:\/\/doi.org\/10.1016\/j.neuron.2010.08.040","journal-title":"Neuron"},{"key":"1121_CR20","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1016\/j.tics.2005.07.004","volume":"9","author":"P Hagoort","year":"2005","unstructured":"Hagoort P (2005) On Broca, brain, and binding: A new framework. Trends Cogn Sci 9:416\u2013423. https:\/\/doi.org\/10.1016\/j.tics.2005.07.004","journal-title":"Trends Cogn Sci"},{"key":"1121_CR21","doi-asserted-by":"publisher","first-page":"638","DOI":"10.1016\/j.biopsych.2017.10.030","volume":"83","author":"J Hiser","year":"2018","unstructured":"Hiser J, Koenigs M (2018) The multifaceted role of the ventromedial prefrontal cortex in emotion, decision making, social cognition, and psychopathology. Biol Psychiatry 83:638\u2013647. https:\/\/doi.org\/10.1016\/j.biopsych.2017.10.030","journal-title":"Biol Psychiatry"},{"key":"1121_CR22","doi-asserted-by":"publisher","first-page":"1346","DOI":"10.1016\/j.neubiorev.2013.03.010","volume":"37","author":"N Ho","year":"2013","unstructured":"Ho N, Sommers MS, Lucki I (2013) Effects of diabetes on hippocampal neurogenesis: links to cognition and depression. Neurosci Biobehav Rev 37:1346\u20131362. https:\/\/doi.org\/10.1016\/j.neubiorev.2013.03.010","journal-title":"Neurosci Biobehav Rev"},{"key":"1121_CR23","doi-asserted-by":"publisher","first-page":"1451","DOI":"10.1177\/0271678X221082911","volume":"42","author":"P Jacob","year":"2022","unstructured":"Jacob P, Nwokolo M, Cordon SM, Macdonald IA, Zelaya FO, Amiel SA, O\u2019Daly O, Choudhary P (2022) Altered functional connectivity during hypoglycaemia in type 1 diabetes. J Cereb Blood Flow Metabolism 42:1451\u20131462. https:\/\/doi.org\/10.1177\/0271678X221082911","journal-title":"J Cereb Blood Flow Metabolism"},{"key":"1121_CR24","doi-asserted-by":"publisher","first-page":"1586","DOI":"10.1212\/CON.0000000000001009","volume":"27","author":"DT Jones","year":"2021","unstructured":"Jones DT, Graff-Radford J (2021) Executive dysfunction and the prefrontal cortex. Continuum (Minneap Minn) 27:1586\u20131601. https:\/\/doi.org\/10.1212\/CON.0000000000001009","journal-title":"Continuum (Minneap Minn)"},{"key":"1121_CR25","doi-asserted-by":"publisher","first-page":"e13357","DOI":"10.1111\/psyp.13357","volume":"57","author":"SA Joshi","year":"2020","unstructured":"Joshi SA, Duval ER, Kubat B, Liberzon I (2020) A review of hippocampal activation in post-traumatic stress disorder. Psychophysiology 57:e13357. https:\/\/doi.org\/10.1111\/psyp.13357","journal-title":"Psychophysiology"},{"key":"1121_CR26","doi-asserted-by":"publisher","first-page":"12295","DOI":"10.1073\/pnas.1804876115","volume":"115","author":"JM Kernbach","year":"2018","unstructured":"Kernbach JM, Yeo BTT, Smallwood J, Margulies DS, Thiebaut de Schotten M, Walter H, Sabuncu MR, Holmes AJ, Gramfort A, Varoquaux G, Thirion B, Bzdok D (2018) Subspecialization within default mode nodes characterized in 10,000 UK biobank participants. Proc Natl Acad Sci USAmerica 115:12295\u201312300. https:\/\/doi.org\/10.1073\/pnas.1804876115","journal-title":"Proc Natl Acad Sci USAmerica"},{"key":"1121_CR27","doi-asserted-by":"publisher","first-page":"548","DOI":"10.1016\/s1474-4422(03)00503-9","volume":"2","author":"JP Klein","year":"2003","unstructured":"Klein JP, Waxman SG (2003) The brain in diabetes: molecular changes in neurons and their implications for end-organ damage. Lancet Neurol 2:548\u2013554. https:\/\/doi.org\/10.1016\/s1474-4422(03)00503-9","journal-title":"Lancet Neurol"},{"key":"1121_CR28","doi-asserted-by":"publisher","first-page":"3083","DOI":"10.2337\/db08-0724","volume":"57","author":"CT Kodl","year":"2008","unstructured":"Kodl CT, Franc DT, Rao JP, Anderson FS, Thomas W, Mueller BA, Lim KO, Seaquist ER (2008) Diffusion tensor imaging identifies deficits in white matter microstructure in subjects with type 1 diabetes that correlate with reduced neurocognitive function. Diabetes 57:3083\u20133089. https:\/\/doi.org\/10.2337\/db08-0724","journal-title":"Diabetes"},{"key":"1121_CR29","doi-asserted-by":"publisher","first-page":"3627","DOI":"10.1523\/JNEUROSCI.2060-18.2019","volume":"39","author":"A Lopez-Persem","year":"2019","unstructured":"Lopez-Persem A, Verhagen L, Amiez C, Petrides M, Sallet J (2019) The human ventromedial prefrontal cortex: sulcal morphology and its influence on functional organization. J Neurosci 39:3627\u20133639. https:\/\/doi.org\/10.1523\/JNEUROSCI.2060-18.2019","journal-title":"J Neurosci"},{"key":"1121_CR30","doi-asserted-by":"publisher","first-page":"2469","DOI":"10.1016\/j.neuron.2023.04.023","volume":"111","author":"V Menon","year":"2023","unstructured":"Menon V (2023) 20 Years of the default mode network: A review and synthesis. Neuron 111:2469\u20132487. https:\/\/doi.org\/10.1016\/j.neuron.2023.04.023","journal-title":"Neuron"},{"key":"1121_CR31","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1146\/annurev.neuro.24.1.167","volume":"24","author":"EK Miller","year":"2001","unstructured":"Miller EK, Cohen JD (2001) An integrative theory of prefrontal cortex function. Annu Rev Neurosci 24:167\u2013202. https:\/\/doi.org\/10.1146\/annurev.neuro.24.1.167","journal-title":"Annu Rev Neurosci"},{"key":"1121_CR32","doi-asserted-by":"crossref","unstructured":"Newman MEJ (2010) Networks: an introduction. Oxford University Press","DOI":"10.1093\/acprof:oso\/9780199206650.003.0001"},{"key":"1121_CR33","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.nec.2010.12.004","volume":"22","author":"LJ O\u2019Donnell","year":"2011","unstructured":"O\u2019Donnell LJ, Westin CF (2011) An introduction to diffusion tensor image analysis. Neurosurg Clin N Am 22:185\u2013viii. https:\/\/doi.org\/10.1016\/j.nec.2010.12.004","journal-title":"Neurosurg Clin N Am"},{"key":"1121_CR34","doi-asserted-by":"publisher","first-page":"957","DOI":"10.1007\/s00234-015-1556-y","volume":"57","author":"M Onu","year":"2015","unstructured":"Onu M, Badea L, Roceanu A, Tivarus M, Bajenaru O (2015) Increased connectivity between sensorimotor and attentional areas in Parkinson\u2019s disease. Neuroradiology 57:957\u2013968. https:\/\/doi.org\/10.1007\/s00234-015-1556-y","journal-title":"Neuroradiology"},{"key":"1121_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1210\/clinem\/dgz004","volume":"105","author":"L Parikh","year":"2020","unstructured":"Parikh L, Seo D, Lacadie C, Belfort-Deaguiar R, Groskreutz D, Hamza M, Dai F, Scheinost D, Sinha R, Todd Constable R, Sherwin R, Hwang JJ (2020) Differential resting state connectivity responses to glycemic state in type 1 diabetes. J Clin Endocrinol Metab 105:1\u201313. https:\/\/doi.org\/10.1210\/clinem\/dgz004","journal-title":"J Clin Endocrinol Metab"},{"key":"1121_CR36","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.cortex.2008.06.008","volume":"46","author":"JY Park","year":"2010","unstructured":"Park JY, Gu BM, Kang DH, Shin YW, Choi CH, Lee JM, Kwon JS (2010) Integration of cross-modal emotional information in the human brain: an fMRI study. Cortex 46:161\u2013169. https:\/\/doi.org\/10.1016\/j.cortex.2008.06.008","journal-title":"Cortex"},{"key":"1121_CR37","doi-asserted-by":"publisher","first-page":"976","DOI":"10.1038\/nrn2277","volume":"8","author":"K Patterson","year":"2007","unstructured":"Patterson K, Nestor PJ, Rogers TT (2007) Where do you know what you know? The representation of semantic knowledge in the human brain. Nat Rev Neurosci 8:976\u2013987. https:\/\/doi.org\/10.1038\/nrn2277","journal-title":"Nat Rev Neurosci"},{"key":"1121_CR38","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1016\/j.neuron.2010.08.017","volume":"67","author":"JD Power","year":"2010","unstructured":"Power JD, Fair DA, Schlaggar BL, Petersen SE (2010) The development of human functional brain networks. Neuron 67:735\u2013748. https:\/\/doi.org\/10.1016\/j.neuron.2010.08.017","journal-title":"Neuron"},{"key":"1121_CR39","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1080\/02643290442000095","volume":"22","author":"CJ Price","year":"2005","unstructured":"Price CJ, Friston KJ (2005) Functional ontologies for cognition: the systematic definition of structure and function. Cogn Neuropsychol 22:262\u2013275. https:\/\/doi.org\/10.1080\/02643290442000095","journal-title":"Cogn Neuropsychol"},{"key":"1121_CR40","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1038\/nrn.2016.150","volume":"18","author":"MAL Ralph","year":"2017","unstructured":"Ralph MAL, Jefferies E, Patterson K, Rogers TT (2017) The neural and computational bases of semantic cognition. Nat Rev Neurosci 18:42\u201355. https:\/\/doi.org\/10.1038\/nrn.2016.150","journal-title":"Nat Rev Neurosci"},{"key":"1121_CR41","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1016\/j.neuroimage.2009.10.003","volume":"52","author":"M Rubinov","year":"2010","unstructured":"Rubinov M, Sporns O (2010) Complex network measures of brain connectivity: uses and interpretations. NeuroImage 52:1059\u20131069. https:\/\/doi.org\/10.1016\/j.neuroimage.2009.10.003","journal-title":"NeuroImage"},{"key":"1121_CR42","doi-asserted-by":"publisher","first-page":"815","DOI":"10.1126\/science.1113530","volume":"310","author":"KL Sakai","year":"2005","unstructured":"Sakai KL (2005) Language acquisition and brain development. Science 310:815\u2013819. https:\/\/doi.org\/10.1126\/science.1113530","journal-title":"Science"},{"key":"1121_CR43","doi-asserted-by":"publisher","first-page":"1681","DOI":"10.1177\/1352458514568826","volume":"21","author":"E Sbardella","year":"2015","unstructured":"Sbardella E, Tona F, Petsas N, Upadhyay N, Piattella MC, Filippini N, Prosperini L, Pozzilli C, Pantano P (2015) Functional connectivity changes and their relationship with clinical disability and white matter integrity in patients with relapsing-remitting multiple sclerosis. Mult Scler 21:1681\u20131692. https:\/\/doi.org\/10.1177\/1352458514568826","journal-title":"Mult Scler"},{"key":"1121_CR44","doi-asserted-by":"publisher","unstructured":"Seghier ML, Fagan E, Price CJ (2010) Functional subdivisions in the left angular gyrus where the semantic system meets and diverges from the default network. J Neurosci 30:16809\u201316817. https:\/\/doi.org\/10.1523\/JNEUROSCI.3377-10.2010","DOI":"10.1523\/JNEUROSCI.3377-10.2010"},{"key":"1121_CR45","doi-asserted-by":"publisher","first-page":"2239","DOI":"10.1210\/jc.2018-01315","volume":"104","author":"A Shalimova","year":"2019","unstructured":"Shalimova A, Graff B, G\u0105secki D, Wolf J, Sabisz A, Szurowska E, Jodzio K, Narkiewicz K (2019) Cognitive dysfunction in type 1 diabetes mellitus. J Clin Endocrinol Metabol 104:2239\u20132249. https:\/\/doi.org\/10.1210\/jc.2018-01315","journal-title":"J Clin Endocrinol Metabol"},{"key":"1121_CR46","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.tins.2006.01.007","volume":"29","author":"AW Toga","year":"2006","unstructured":"Toga AW, Thompson PM, Sowell ER (2006) Mapping brain maturation. Trends Neurosci 29:148\u2013159. https:\/\/doi.org\/10.1016\/j.tins.2006.01.007","journal-title":"Trends Neurosci"},{"key":"1121_CR47","doi-asserted-by":"publisher","first-page":"11562","DOI":"10.1038\/s41598-018-29943-0","volume":"8","author":"SY Tsai","year":"2018","unstructured":"Tsai SY (2018) Reproducibility of structural brain connectivity and network metrics using probabilistic diffusion tractography. Sci Rep 8:11562. https:\/\/doi.org\/10.1038\/s41598-018-29943-0","journal-title":"Sci Rep"},{"key":"1121_CR48","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1006\/nimg.2001.0978","volume":"15","author":"N Tzourio-Mazoyer","year":"2002","unstructured":"Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, Mazoyer B, Joliot M (2002) Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 15:273\u2013289. https:\/\/doi.org\/10.1006\/nimg.2001.0978","journal-title":"NeuroImage"},{"key":"1121_CR49","doi-asserted-by":"publisher","first-page":"118284","DOI":"10.1016\/j.neuroimage.2021.118284","volume":"239","author":"Y Wang","year":"2021","unstructured":"Wang Y, Hinds W, Duarte CS et al (2021) Intra-session test-retest reliability of functional connectivity in infants. NeuroImage 239:118284. https:\/\/doi.org\/10.1016\/j.neuroimage.2021.118284","journal-title":"NeuroImage"},{"key":"1121_CR50","doi-asserted-by":"publisher","first-page":"114721","DOI":"10.1016\/j.psychres.2022.114721","volume":"315","author":"L Wei","year":"2022","unstructured":"Wei L, Zhang Y, Wang J, Xu L, Yang K, Lv X, Zhu Z, Gong Q, Hu W, Li X, Qian M, Shen Y, Chen W (2022) Parietal-hippocampal rTMS improves cognitive function in Alzheimer\u2019s disease and increases dynamic functional connectivity of default mode network. Psychiatry Res 315:114721. https:\/\/doi.org\/10.1016\/j.psychres.2022.114721","journal-title":"Psychiatry Res"},{"key":"1121_CR51","doi-asserted-by":"publisher","first-page":"970","DOI":"10.1016\/j.neuroimage.2009.12.027","volume":"50","author":"A Zalesky","year":"2010","unstructured":"Zalesky A, Fornito A, Harding IH, Cocchi L, Y\u00fccel M, Pantelis C, Bullmore ET (2010) Whole-brain anatomical networks: Does the choice of nodes matter? NeuroImage 50:970\u2013983. https:\/\/doi.org\/10.1016\/j.neuroimage.2009.12.027","journal-title":"NeuroImage"}],"container-title":["Brain Topography"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10548-025-01121-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10548-025-01121-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10548-025-01121-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T14:38:45Z","timestamp":1751726325000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10548-025-01121-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,24]]},"references-count":49,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,7]]}},"alternative-id":["1121"],"URL":"https:\/\/doi.org\/10.1007\/s10548-025-01121-2","relation":{},"ISSN":["0896-0267","1573-6792"],"issn-type":[{"value":"0896-0267","type":"print"},{"value":"1573-6792","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,24]]},"assertion":[{"value":"28 February 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 May 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 May 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to declare relevant to this article\u2019s content.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the local Ethics Committee of the Instituto de Neurociencias of Universidad de Guadalajara in October 2023 (ET072023-377).","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"Informed consent was obtained from all individual participants included in the study and legal guardians when underage participants.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed Consent"}}],"article-number":"45"}}