Journal of perinatal medicine · 2025
Revisiting KANET in the context of fetal connectomics: defining optimal gestational windows for neurodevelopmental screening.
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Andonotopo Wiku, Bachnas Muhammad Adrianes, Dewantiningrum Julian, Adi Pramono Mochammad Besari, Sanjaya I Nyoman Hariyasa, Darmawan Ernawati, Akbar Muhammad Ilham Aldika, Aldiansyah Dudy, Yeni Cut Meurah, Bernolian Nuswil, Sulistyowati Sri, Andanaputra Waskita Ekamaheswara Kasumba, Stanojevic Milan, Kurjak Asim
Аннотация
OBJECTIVES: 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.
METHODS: A narrative review was conducted using a PRISMA-guided literature identification and screening process. PubMed, Scopus, and Web of Science were searched (January 2000-March 2025) for studies addressing fetal connectomics, fetal neurobehavior, KANET scoring, and developmental neuroimaging. Forty-two peer-reviewed studies met inclusion criteria. Observed fetal behaviors-including facial mimicry, eye blinking, limb movement, and overall gestalt coordination-were aligned with their most plausible neural substrates using evidence from developmental neuroscience and imaging.
RESULTS: Findings demonstrated clear temporal associations between specific fetal behaviors and neural circuit development. Eye blinking and facial expressions (24-26 weeks) correlated with brainstem-cortical integration; hand-to-face gestures (26-30 weeks) reflected emerging interhemispheric pathways; and complex limb coordination (28-32 weeks) was linked to corticospinal and basal ganglia maturation. Collectively, these data indicate that 24-32 weeks 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.
CONCLUSIONS: 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.
METHODS: A narrative review was conducted using a PRISMA-guided literature identification and screening process. PubMed, Scopus, and Web of Science were searched (January 2000-March 2025) for studies addressing fetal connectomics, fetal neurobehavior, KANET scoring, and developmental neuroimaging. Forty-two peer-reviewed studies met inclusion criteria. Observed fetal behaviors-including facial mimicry, eye blinking, limb movement, and overall gestalt coordination-were aligned with their most plausible neural substrates using evidence from developmental neuroscience and imaging.
RESULTS: Findings demonstrated clear temporal associations between specific fetal behaviors and neural circuit development. Eye blinking and facial expressions (24-26 weeks) correlated with brainstem-cortical integration; hand-to-face gestures (26-30 weeks) reflected emerging interhemispheric pathways; and complex limb coordination (28-32 weeks) was linked to corticospinal and basal ganglia maturation. Collectively, these data indicate that 24-32 weeks 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.
CONCLUSIONS: 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.