{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:17:42Z","timestamp":1783437462504,"version":"3.54.6"},"reference-count":45,"publisher":"Walter de Gruyter GmbH","issue":"6","license":[{"start":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T00:00:00Z","timestamp":1764115200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,7,24]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"j_jpm-2025-0234_abs_001\">\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To introduce the KANET-connectome matrix (KANET-Con) as a conceptual framework linking fetal behaviors observed on four-dimensional (4D) ultrasound to underlying neural network maturation, and to evaluate optimal gestational timing for functional neurodevelopmental screening.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2025-0234_abs_002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A narrative review was conducted using a PRISMA-guided literature identification and screening process. PubMed, Scopus, and Web of Science were searched (January 2000\u2013March 2025) for studies addressing fetal connectomics, fetal neurobehavior, KANET scoring, and developmental neuroimaging. Forty-two peer-reviewed studies met inclusion criteria. Observed fetal behaviors\u2014including facial mimicry, eye blinking, limb movement, and overall gestalt coordination\u2014were aligned with their most plausible neural substrates using evidence from developmental neuroscience and imaging.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2025-0234_abs_003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Findings demonstrated clear temporal associations between specific fetal behaviors and neural circuit development. Eye blinking and facial expressions (24\u201326\u202fweeks) correlated with brainstem-cortical integration; hand-to-face gestures (26\u201330\u202fweeks) reflected emerging interhemispheric pathways; and complex limb coordination (28\u201332\u202fweeks) was linked to corticospinal and basal ganglia maturation. Collectively, these data indicate that 24\u201332\u202fweeks of gestation represents an optimal window for KANET-based neurobehavioral screening. Additionally, emerging artificial intelligence applications show potential to enhance scoring objectivity by detecting subtle movement features such as behavioral entropy, asymmetry, and latency.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2025-0234_abs_004\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>KANET, interpreted through a fetal connectomic lens, provides a functional window into early neural integration. The KANET-Con offers a clinically relevant, globally accessible conceptual model to support early detection of neurodevelopmental deviations and inform risk stratification, particularly in resource-limited settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1515\/jpm-2025-0234","type":"journal-article","created":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T02:57:38Z","timestamp":1764039458000},"page":"1004-1017","source":"Crossref","is-referenced-by-count":0,"title":["Revisiting KANET in the context of fetal connectomics: defining optimal gestational windows for neurodevelopmental screening"],"prefix":"10.1515","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9062-8501","authenticated-orcid":false,"given":"Wiku","family":"Andonotopo","sequence":"first","affiliation":[{"name":"Fetomaternal Division, Department of Obstetrics and Gynecology , Women Health Center , Tangerang , Banten , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1710-3909","authenticated-orcid":false,"given":"Muhammad Adrianes","family":"Bachnas","sequence":"additional","affiliation":[{"name":"Fetomaternal Division, Department of Obstetrics and Gynecology , Medical Faculty of Sebelas Maret University, Dr. Moewardi Hospital , Surakarta , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julian","family":"Dewantiningrum","sequence":"additional","affiliation":[{"name":"Fetomaternal Division, Department of Obstetrics and Gynecology , Medical Faculty of Diponegoro University, Dr. Kariadi Hospital , Semarang , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mochammad Besari","family":"Adi Pramono","sequence":"additional","affiliation":[{"name":"Fetomaternal Division, Department of Obstetrics and Gynecology , Medical Faculty of Diponegoro University, Dr. Kariadi Hospital , Semarang , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"I Nyoman Hariyasa","family":"Sanjaya","sequence":"additional","affiliation":[{"name":"Fetomaternal Division, Department of Obstetrics and Gynecology , Faculty of Medicine Universitas Udayana, Prof. dr. I.G.N.G Ngoerah General Hospital , Bali , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ernawati","family":"Darmawan","sequence":"additional","affiliation":[{"name":"Maternal-Fetal Medicine Division, Department of Obstetrics and Gynecology , Faculty of Medicine Universitas Airlangga, Dr. Soetomo Hospital , Surabaya , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Ilham Aldika","family":"Akbar","sequence":"additional","affiliation":[{"name":"Maternal-Fetal Medicine Division, Department of Obstetrics and Gynecology , Faculty of Medicine Universitas Airlangga, Dr. Soetomo Hospital , Surabaya , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dudy","family":"Aldiansyah","sequence":"additional","affiliation":[{"name":"Fetomaternal Division, Department of Obstetrics and Gynecology , Faculty of Medicine, Universitas Sumatera Utara, H. Adam Malik General Hospital , Medan , Sumatera Utara , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cut Meurah","family":"Yeni","sequence":"additional","affiliation":[{"name":"Maternal-Fetal Medicine Division, Department of Obstetrics and Gynecology , Faculty of Medicine Universitas Syiah Kuala, Dr. Zainoel Abidin General Hospital , Aceh , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nuswil","family":"Bernolian","sequence":"additional","affiliation":[{"name":"Maternal-Fetal Medicine Division, Department of Obstetrics and Gynecology , Faculty of Medicine Universitas Sriwijaya, Dr. Mohammad Hoesin General Hospital , Palembang , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sri","family":"Sulistyowati","sequence":"additional","affiliation":[{"name":"Fetomaternal Division, Department of Obstetrics and Gynecology , Medical Faculty of Sebelas Maret University, Dr. Moewardi Hospital , Surakarta , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2181-3442","authenticated-orcid":false,"given":"Waskita Ekamaheswara Kasumba","family":"Andanaputra","sequence":"additional","affiliation":[{"name":"Department of Medicine, Undergraduate Program in Medical Science, Faculty of Medicine , Padjajaran University , Bandung , West Java , Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Milan","family":"Stanojevic","sequence":"additional","affiliation":[{"name":"Department of Neonatology and Rare Diseases , Medical University of Warsaw , Warsaw , Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Asim","family":"Kurjak","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology , Medical School University of Zagreb , Zagreb , Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2025,11,26]]},"reference":[{"key":"2026070714574612819_j_jpm-2025-0234_ref_001","doi-asserted-by":"crossref","unstructured":"Kostovi\u0107, I, Jovanov-Milo\u0161evi\u0107, N. The development of cerebral connections during the first 20\u201345 weeks\u2019 gestation. Semin Fetal Neonatal Med 2006;11:415\u201322. https:\/\/doi.org\/10.1016\/j.siny.2006.07.001.","DOI":"10.1016\/j.siny.2006.07.001"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_002","doi-asserted-by":"crossref","unstructured":"Thomason, ME, Brown, JA, Dassanayake, MT, Shastri, R, Marusak, HA, Hernandez-Andrade, E, et al.. Intrinsic functional brain architecture derived from graph theoretical analysis in the human fetus. PLoS One 2014;9:e94423. https:\/\/doi.org\/10.1371\/journal.pone.0094423.","DOI":"10.1371\/journal.pone.0094423"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_003","doi-asserted-by":"crossref","unstructured":"Tymofiyeva, O, Hess, CP, Ziv, E, Lee, PN, Glass, HC, Ferriero, DM, et al.. A DTI-based template-free cortical connectome study of brain maturation. PLoS One 2012;7:e35804. https:\/\/doi.org\/10.1371\/journal.pone.0035804.","DOI":"10.1371\/journal.pone.0063310"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_004","doi-asserted-by":"crossref","unstructured":"Kurjak, A, Miskovic, B, Stanojevic, M, Amiel-Tison, C, Ahmed, B, Andonotopo, W, et al.. New scoring system for fetal neurobehavior assessed by three- and four-dimensional sonography. J Perinat Med 2008;36:73\u201381. https:\/\/doi.org\/10.1515\/JPM.2008.008.","DOI":"10.1515\/JPM.2008.007"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_005","doi-asserted-by":"crossref","unstructured":"Talic, A, Kurjak, A, Stanojevic, M, Honemeyer, U, Ahmed, B, Miskovic, B, et al.. The potential of 4D sonography in the assessment of fetal neurobehavior: multicentric study in high-risk pregnancies. J Perinat Med 2005;33:63\u20139. https:\/\/doi.org\/10.1515\/JPM.2005.009.","DOI":"10.1515\/JPM.2005.009"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_006","doi-asserted-by":"crossref","unstructured":"Marguet, F, Vezain, M, Marcorelles, P, Audebert-Bellanger, S, Cassinari, K, Drouot, N, et al.. Neuropathological hallmarks of fetal hydrocephalus linked to CCDC88C pathogenic variants. Acta Neuropathol Commun 2021;9:104. https:\/\/doi.org\/10.1186\/s40478-021-01207-5.","DOI":"10.1186\/s40478-021-01207-5"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_007","doi-asserted-by":"crossref","unstructured":"Andescavage, NN, Du Plessis, A, Murnick, J, Brossard-Racine, M, Vezina, G, Limperopoulos, C, et al.. Complex trajectories of brain development in the healthy human fetus. Cerebr Cortex 2017;27:5274\u201383. https:\/\/doi.org\/10.1093\/cercor\/bhw306.","DOI":"10.1093\/cercor\/bhw306"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_008","doi-asserted-by":"crossref","unstructured":"Turk, E, van den Heuvel, MI, Benders, MJ, de Heus, R, Franx, A, Manning, JH, et al.. Functional connectome of the fetal brain. J Neurosci 2019;39:9716\u201324. https:\/\/doi.org\/10.1523\/JNEUROSCI.2891-18.2019.","DOI":"10.1523\/JNEUROSCI.2891-18.2019"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_009","doi-asserted-by":"crossref","unstructured":"De Asis-Cruz, J, Andersen, N, Kapse, K, Khrisnamurthy, D, Quistorff, J, Lopez, C, et al.. Global network organization of the fetal functional connectome. Cerebr Cortex 2021;31:3034\u201346. https:\/\/doi.org\/10.1093\/cercor\/bhaa410.","DOI":"10.1093\/cercor\/bhaa410"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_010","doi-asserted-by":"crossref","unstructured":"Song, L, Mishra, V, Ouyang, M, Peng, Q, Slinger, M, Liu, S, et al.. Human fetal brain connectome: structural network development from middle fetal stage to birth. Front Neurosci 2017;11:561. https:\/\/doi.org\/10.3389\/fnins.2017.00561.","DOI":"10.3389\/fnins.2017.00561"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_011","doi-asserted-by":"crossref","unstructured":"Gao, W, Lin, W, Grewen, K, Gilmore, JH. Functional connectivity of the infant human brain: plastic and modifiable. Neuroscientist 2017;23:169\u201384. https:\/\/doi.org\/10.1177\/1073858416635986.","DOI":"10.1177\/1073858416635986"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_012","doi-asserted-by":"crossref","unstructured":"Kurjak, A, Spalldi Bari\u0161i\u0107, L, Stanojevi\u0107, M, Antsaklis, P, Panchal, S, Honemeyer, U, et al.. Multi-center results on the clinical use of KANET. J Perinat Med 2019;47:897\u2013909. https:\/\/doi.org\/10.1515\/jpm-2019-0281.","DOI":"10.1515\/jpm-2019-0281"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_013","doi-asserted-by":"crossref","unstructured":"Moreira Neto, R, Porovic, S. Clinical study of fetal neurobehavior by the KANET test. J Perinat Med 2018;46:631\u20139. https:\/\/doi.org\/10.1515\/jpm-2016-0414.","DOI":"10.1515\/jpm-2016-0414"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_014","doi-asserted-by":"crossref","unstructured":"Stanojevic, M, Zaputovic, S, Bosnjak, AP. Continuity between fetal and neonatal neurobehavior. Semin Fetal Neonatal Med 2012;17:324\u20139. https:\/\/doi.org\/10.1016\/j.siny.2012.06.006.","DOI":"10.1016\/j.siny.2012.06.006"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_015","doi-asserted-by":"crossref","unstructured":"Krontira, AC, Cruceanu, C. The fetal functional connectome offers clues for early maturing networks. J Neurosci 2020;40:4436\u20138. https:\/\/doi.org\/10.1523\/JNEUROSCI.0260-20.2020.","DOI":"10.1523\/JNEUROSCI.0260-20.2020"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_016","doi-asserted-by":"crossref","unstructured":"Scheinost, D, Sinha, R, Cross, SN, Kwon, SH, Sze, G, Constable, RT, et al.. Does prenatal stress alter the developing connectome? Pediatr Res 2017;81:214\u201326. https:\/\/doi.org\/10.1038\/pr.2016.197.","DOI":"10.1038\/pr.2016.197"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_017","doi-asserted-by":"crossref","unstructured":"Fasoulakis, Z, Kurjak, A, Sapantzoglou, I, Daskalaki, AM, Daskalakis, G, Antsaklis, P. KANET evaluation in patients with SARS-CoV-2. J Perinat Med 2024;52:811\u201316. https:\/\/doi.org\/10.1515\/jpm-2024-0258.","DOI":"10.1515\/jpm-2024-0258"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_018","doi-asserted-by":"crossref","unstructured":"Dieb, A, Salam, R, Shaheen, D, Shaeer, E. Evaluation of foetal neurological behaviour in hypothyroid pregnant females\u2014a pilot study. J Matern Fetal Neonatal Med 2019;32:2617\u201321. https:\/\/doi.org\/10.1080\/14767058.2018.1442428.","DOI":"10.1080\/14767058.2018.1442428"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_019","doi-asserted-by":"crossref","unstructured":"Bot, M, Vladareanu, R, Burnei, A, Munteanu, A, Calo, I, Vladareanu, S. Monochorionic vs dichorionic twins: Kanet test vs postnatal neurodevelopment. Maedica 2020;15:61\u201370. https:\/\/doi.org\/10.26574\/maedica.2020.15.1.61.","DOI":"10.26574\/maedica.2020.15.1.61"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_020","doi-asserted-by":"crossref","unstructured":"Kim, JH, De Asis-Cruz, J, Cook, KM, Limperopoulos, C. Gestational age-related changes in the fetal functional connectome. Cerebr Cortex 2023;33:2302\u201314. https:\/\/doi.org\/10.1093\/cercor\/bhac209.","DOI":"10.1093\/cercor\/bhac209"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_021","doi-asserted-by":"crossref","unstructured":"Taymourtash, A, Schwartz, E, Nenning, KH, Sobotka, D, Licandro, R, Glatter, S, et al.. Fetal development of functional thalamocortical and cortico-cortical connectivity. Cerebr Cortex 2023;33:5613\u201324. https:\/\/doi.org\/10.1093\/cercor\/bhac446.","DOI":"10.1093\/cercor\/bhac446"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_022","doi-asserted-by":"crossref","unstructured":"Jakab, A. Developmental pathoconnectomics and advanced fetal MRI. Top Magn Reson Imag 2019;28:275\u201384. https:\/\/doi.org\/10.1097\/RMR.0000000000000220.","DOI":"10.1097\/RMR.0000000000000220"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_023","doi-asserted-by":"crossref","unstructured":"Zhao, R, Sun, C, Xu, X, Zhao, Z, Li, M, Chen, R, et al.. Developmental pattern of individual morphometric similarity network in the human fetal brain. Neuroimage 2023:120410. https:\/\/doi.org\/10.1016\/j.neuroimage.2023.120410.","DOI":"10.1016\/j.neuroimage.2023.120410"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_024","doi-asserted-by":"crossref","unstructured":"Wilson, S, Pietsch, M, Cordero-Grande, L, Christiaens, D, Uus, A, Karolis, VR, et al.. Spatiotemporal tissue maturation of thalamocortical pathways in the human fetal brain. eLife 2023;12:e83727. https:\/\/doi.org\/10.7554\/eLife.83727.","DOI":"10.7554\/eLife.83727"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_025","doi-asserted-by":"crossref","unstructured":"Miskovic, B, Vasilj, O, Stanojevic, M, Ivankovi\u0107, D, Kerner, M, Tikvica, A. The comparison of fetal behavior in high risk and normal pregnancies assessed by four dimensional ultrasound. J Matern Fetal Neonatal Med 2010;23:1461\u20137. https:\/\/doi.org\/10.3109\/14767051003678200.","DOI":"10.3109\/14767051003678200"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_026","doi-asserted-by":"crossref","unstructured":"Kostovi\u0107, I, Juda\u0161, M. The development of the subplate and thalamocortical connections in the human foetal brain. Acta Paediatr 2010;99:1119\u201327. https:\/\/doi.org\/10.1111\/j.1651-2227.2010.01811.x.","DOI":"10.1111\/j.1651-2227.2010.01811.x"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_027","doi-asserted-by":"crossref","unstructured":"Mrzljak, L, Uylings, HBM, Van Eden, CG, Juda\u0161, M. Neuronal development in human prefrontal cortex in prenatal and postnatal stages. Prog Brain Res 1990;85:185\u2013222. https:\/\/doi.org\/10.1016\/s0079-6123(08)62681-3.","DOI":"10.1016\/S0079-6123(08)62681-3"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_028","doi-asserted-by":"crossref","unstructured":"Kostovi\u0107, I, Juda\u0161, M. Transient patterns of cortical lamination during prenatal life: do they have implications for treatment? Neurosci Biobehav Rev 2007;31:1157\u201368. https:\/\/doi.org\/10.1016\/j.neubiorev.2007.04.018.","DOI":"10.1016\/j.neubiorev.2007.04.018"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_029","doi-asserted-by":"crossref","unstructured":"Kostovi\u0107, I, Sedmak, G, Vuk\u0161i\u0107, M, Juda\u0161, M. The relevance of human fetal subplate zone for developmental neuropathology of neuronal migration disorders and cortical dysplasia. CNS Neurosci Ther 2015;21:74\u201382. https:\/\/doi.org\/10.1111\/cns.12333.","DOI":"10.1111\/cns.12333"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_030","doi-asserted-by":"crossref","unstructured":"Juda\u0161, M, Sedmak, G, Pletikos, M, Jovanov-Milo\u0161evi\u0107, N. Populations of subplate and interstitial neurons in fetal and adult human telencephalon. J Anat 2010;217:381\u201399. https:\/\/doi.org\/10.1111\/j.1469-7580.2010.01284.x.","DOI":"10.1111\/j.1469-7580.2010.01284.x"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_031","doi-asserted-by":"crossref","unstructured":"Mulc, D, Smilovi\u0107, D, Krsnik, \u017d, Junakovi\u0107-Munjas, A, Kopi\u0107, J, Kostovi\u0107, I, et al.. Fetal development of the human amygdala. J Comp Neurol 2024;532:e25580. https:\/\/doi.org\/10.1002\/cne.25580.","DOI":"10.1002\/cne.25580"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_032","doi-asserted-by":"crossref","unstructured":"\u0160imi\u0107, G, Krsnik, \u017d, Knezovi\u0107, V, Kelovi\u0107, Z, Mathiasen, ML, Junakovi\u0107, A, et al.. Prenatal development of the human entorhinal cortex. J Comp Neurol 2022;530:2711\u201348. https:\/\/doi.org\/10.1002\/cne.25344.","DOI":"10.1002\/cne.25344"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_033","doi-asserted-by":"crossref","unstructured":"Carroll, L, Braeutigam, S, Dawes, JM, Krsnik, Z, Kostovi\u0107, I, Coutinho, E, et al.. Autism spectrum disorders: multiple routes to, and multiple consequences of, abnormal synaptic function and connectivity. Neuroscientist 2021;27:10\u201329. https:\/\/doi.org\/10.1177\/1073858420921378.","DOI":"10.1177\/1073858420921378"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_034","doi-asserted-by":"crossref","unstructured":"Bachnas, MA, Andonotopo, W, Dewantiningrum, J, Adi Pramono, MB, Stanojevic, M, Kurjak, A. The utilization of artificial intelligence in enhancing 3D\/4D ultrasound analysis of fetal facial profiles. J Perinat Med 2024;52:899\u2013913. https:\/\/doi.org\/10.1515\/jpm-2024-0347.","DOI":"10.1515\/jpm-2024-0347"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_035","doi-asserted-by":"crossref","unstructured":"Andonotopo, W, Bachnas, MA, Dewantiningrum, J, Adi Pramono, MB, Stanojevic, M, Kurjak, A. AI and early diagnostics: mapping fetal facial expressions through development, evolution, and 4D ultrasound. J Perinat Med 2025;53:263\u201385. https:\/\/doi.org\/10.1515\/jpm-2024-0602.","DOI":"10.1515\/jpm-2024-0602"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_036","doi-asserted-by":"crossref","unstructured":"Andonotopo, W, Bachnas, MA, Dewantiningrum, J, Pramono, MB, Stanojevic, M, Kurjak, A. The capability of artificial intelligence algorithms to analyze and interpret complex medical data from four-dimensional ultrasound fetal facial imaging: a literature review. Donald Sch J Ultrasound Obstet Gynecol 2025;19:16\u201329. https:\/\/doi.org\/10.5005\/jp-journals-10009-2061.","DOI":"10.5005\/jp-journals-10009-2061"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_037","doi-asserted-by":"crossref","unstructured":"Brossard-Racine, M, You, W, du Plessis, A, Vezina, G, Limperopoulos, C. Toward a more informative representation of the fetal-neonatal brain: a deep learning approach to characterize maturational changes. Cerebr Cortex 2023;33:10601\u201317. https:\/\/doi.org\/10.1093\/cercor\/bhad182.","DOI":"10.1093\/cercor\/bhad182"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_038","doi-asserted-by":"crossref","unstructured":"Yaqub, M, Khan, W, Alansary, A, Bai, W, Roy, S, Bhogal, A, et al.. Brain volumetry and automated parcellation for 3D fetal MRI using deep learning. Med Image Anal 2023;87:102808. https:\/\/doi.org\/10.1016\/j.media.2023.102808.","DOI":"10.1016\/j.media.2023.102808"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_039","doi-asserted-by":"crossref","unstructured":"Bouyssi-Kobar, M, Brossard-Racine, M, Chang, T, Mahdi, E, Jacobs, M, Murnick, J, et al.. Altered development of structural MRI connectome hubs at near-term age in preterm infants. Neuroimage Clin 2022;36:103220. https:\/\/doi.org\/10.1016\/j.nicl.2022.103220.","DOI":"10.1016\/j.nicl.2022.103220"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_040","doi-asserted-by":"crossref","unstructured":"de Miranda, DM, Ribas, FT, de Castro Monteiro, L, Fujita, A, Furquim de Andrade, CR, Vieira, TC, et al.. Prenatal exposure to air pollution is associated with structural alterations in the neonatal brain. Environ Int 2023;177:108061. https:\/\/doi.org\/10.1016\/j.envint.2023.108061.","DOI":"10.1016\/j.envint.2023.108061"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_041","doi-asserted-by":"crossref","unstructured":"Deprez, M, Rousseau, F, Makropoulos, A, Schuh, A, Kyriakopoulou, V, Koch, LM, et al.. An automatic pipeline for atlas-based fetal and neonatal brain MRI segmentation. Neuroimage 2023;269:119972. https:\/\/doi.org\/10.1016\/j.neuroimage.2023.119972.","DOI":"10.1016\/j.neuroimage.2023.119972"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_042","unstructured":"Hughes, EJ, Winchman, T, Padormo, F, Teixeira, RPAG, Wurie, J, Sharma, M, et al.. The developing human connectome project neonatal data release. Sci Data 2022;9:482. https:\/\/doi.org\/10.1038\/s41597-022-01659-2."},{"key":"2026070714574612819_j_jpm-2025-0234_ref_043","doi-asserted-by":"crossref","unstructured":"Andonotopo, W, Bachnas, MA, Dewantiningrum, J, Pramono, MB, Bernolian, N, Yeni, CM, et al.. KANET at the crossroads of clinical practice and fetal neuroscience: a review of two decades. Donald Sch J Ultrasound Obstet Gynecol 2025;19:184\u201398. https:\/\/doi.org\/10.5005\/jp-journals-10009-2078.","DOI":"10.5005\/jp-journals-10009-2078"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_044","doi-asserted-by":"crossref","unstructured":"Pramono, MBA, Andonotopo, W, Bachnas, MA, Dewantiningrum, J, Sanjaya, INH, Sulistyowati, S, et al.. Fetal neurobehavior and consciousness: a systematic review of 4D ultrasound evidence and ethical challenges. J Perinat Med 2025;53:1145\u201358. https:\/\/doi.org\/10.1515\/jpm-2025-0281.","DOI":"10.1515\/jpm-2025-0281"},{"key":"2026070714574612819_j_jpm-2025-0234_ref_045","doi-asserted-by":"crossref","unstructured":"Andonotopo, W, Bachnas, MA, Dewantiningrum, J, Pramono, MBA, Sulistyowati, S, Stanojevic, M, et al.. Integrating KANET and Doppler indices to predict neurodevelopmental delays in high-risk pregnancies. J Perinat Med 2025; 53:1000\u201313 https:\/\/doi.org\/10.1515\/jpm-2025-0051.","DOI":"10.1515\/jpm-2025-0051"}],"container-title":["Journal of Perinatal Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jpm-2025-0234\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jpm-2025-0234\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:06:21Z","timestamp":1783436781000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jpm-2025-0234\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,26]]},"references-count":45,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2026,5,25]]},"published-print":{"date-parts":[[2026,7,24]]}},"alternative-id":["10.1515\/jpm-2025-0234"],"URL":"https:\/\/doi.org\/10.1515\/jpm-2025-0234","relation":{},"ISSN":["0300-5577","1619-3997"],"issn-type":[{"value":"0300-5577","type":"print"},{"value":"1619-3997","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,26]]}}}