Selective responses to faces, scenes, and bodies in the ventral visual pathway of infants

HL Kosakowski, MA Cohen, A Takahashi, B Keil… - Current Biology, 2022 - cell.com
Three of the most robust functional landmarks in the human brain are the selective
responses to faces in the fusiform face area (FFA), scenes in the parahippocampal place …

Machine learning and prediction in fetal, infant, and toddler neuroimaging: A review and primer

D Scheinost, A Pollatou, AJ Dufford, R Jiang… - Biological …, 2023 - Elsevier
Predictive models in neuroimaging are increasingly designed with the intent to improve risk
stratification and support interventional efforts in psychiatry. Many of these models have …

Functional connectivity of the pediatric brain

MI Argyropoulou, VG Xydis, LG Astrakas - Neuroradiology, 2024 - Springer
Purpose This review highlights the importance of functional connectivity in pediatric
neuroscience, focusing on its role in understanding neurodevelopment and potential …

Maturation of large-scale brain systems over the first month of life

AN Nielsen, S Kaplan, D Meyer, D Alexopoulos… - Cerebral …, 2023 - academic.oup.com
The period immediately after birth is a critical developmental window, capturing rapid
maturation of brain structure and a child's earliest experiences. Large-scale brain systems …

BIBSNet: a deep learning baby image brain segmentation network for MRI scans

TJ Hendrickson, P Reiners, LA Moore, JT Lundquist… - …, 2024 - pmc.ncbi.nlm.nih.gov
Objectives: Brain segmentation of infant magnetic resonance (MR) images is vitally
important in studying developmental mental health and disease. The infant brain undergoes …

The FinnBrain Multimodal Neonatal Template and Atlas Collection: T1, T2, and DTI brain templates, and accompanying cortical and subcortical atlases

JJ Tuulari, A Rosberg, EP Pulli, N Hashempour… - bioRxiv, 2024 - biorxiv.org
The accurate processing of neonatal and infant brain MRI data is crucially important for
developmental neuroscience, but presents challenges that child and adult data do not …

DBAII-Net with multiscale feature aggregation and cross-modal attention for enhancing infant brain injury classification in MRI

Z Jia, T Huang, X Li, Y Bian, F Wang… - Physics in Medicine …, 2024 - iopscience.iop.org
Objectives. Magnetic resonance imaging (MRI) is pivotal in diagnosing brain injuries in
infants. However, the dynamic development of the brain introduces variability in infant MRI …

[HTML][HTML] Molecular signatures of cortical expansion in the human fetal brain

G Ball, S Oldham, V Kyriakopoulou, LZJ Williams… - bioRxiv, 2024 - ncbi.nlm.nih.gov
The third trimester of human gestation is characterised by rapid increases in brain volume
and cortical surface area. A growing catalogue of cells in the prenatal brain has revealed …

[HTML][HTML] Baby Open Brains: An Open-Source Repository of Infant Brain Segmentations

E Feczko, SM Stoyell, LA Moore, D Alexopoulos… - …, 2024 - pmc.ncbi.nlm.nih.gov
Reproducibility of neuroimaging research on infant brain development remains limited due
to highly variable protocols and processing approaches. Progress towards reproducible …