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 …

Network-specific selectivity of functional connections in the neonatal brain

CM Sylvester, S Kaplan, MJ Myers, EM Gordon… - Cerebral …, 2023 - academic.oup.com
The adult human brain is organized into functional brain networks, groups of functionally
connected segregated brain regions. A key feature of adult functional networks is long-range …

Prenatal environment is associated with the pace of cortical network development over the first three years of life

UA Tooley, A Latham, JK Kenley, D Alexopoulos… - Nature …, 2024 - nature.com
Environmental influences on brain structure and function during early development have
been well-characterized, but whether early environments are associated with the pace of …

[HTML][HTML] Resting-state functional connectivity identifies individuals and predicts age in 8-to-26-month-olds

O Kardan, S Kaplan, MD Wheelock, E Feczko… - Developmental …, 2022 - Elsevier
Resting-state functional connectivity (rsFC) measured with fMRI has been used to
characterize functional brain maturation in typically and atypically develo** children and …

Measures of resting-state brain network segregation and integration vary in relation to data quantity: implications for within and between subject comparisons of …

L Han, MY Chan, PF Agres, E Winter-Nelson… - Cerebral …, 2024 - academic.oup.com
Measures of functional brain network segregation and integration vary with an individual's
age, cognitive ability, and health status. Based on these relationships, these measures are …

[HTML][HTML] Direct machine learning reconstruction of respiratory variation waveforms from resting state fMRI data in a pediatric population

A Addeh, F Vega, PR Medi, RJ Williams, GB Pike… - NeuroImage, 2023 - Elsevier
In many functional magnetic resonance imaging (fMRI) studies, respiratory signals are
unavailable or do not have acceptable quality due to issues with subject compliance …

In vivo microwave-induced thermoacoustic endoscopy for colorectal tumor detection in deep tissue

H Zhang, M Ren, Y Wang, Z **… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
Optical endoscopy, as one of the common clinical diagnostic modalities, provides
irreplaceable advantages in the diagnosis and treatment of internal organs. However, the …

Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing

DĐ Phạm, DJ McDonald, L Ding, MB Nebel, AF Mejia - NeuroImage, 2023 - Elsevier
Functional MRI (fMRI) data may be contaminated by artifacts arising from a myriad of
sources, including subject head motion, respiration, heartbeat, scanner drift, and thermal …

Concurrent and prospective associations between infant frontoparietal and default mode network connectivity and negative affectivity

S Ravi, MC Camacho, B Fleming, MR Scudder… - Biological …, 2023 - Elsevier
Emotion dysregulation is linked to differences in frontoparietal (FPN) and default mode
(DMN) brain network functioning. These differences may be identifiable early in …

Early life neuroimaging: The generalizability of cortical area parcellations across development

JC Tu, M Myers, W Li, J Li, X Wang, D Dierker… - …, 2024 - pmc.ncbi.nlm.nih.gov
The cerebral cortex comprises discrete cortical areas that form during development.
Accurate area parcellation in neuroimaging studies enhances statistical power and …