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Machine learning and prediction in fetal, infant, and toddler neuroimaging: a review and primer
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 …
stratification and support interventional efforts in psychiatry. Many of these models have …
Network-specific selectivity of functional connections in the neonatal brain
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 …
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 …
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
Resting-state functional connectivity (rsFC) measured with fMRI has been used to
characterize functional brain maturation in typically and atypically develo** children and …
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 …
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 …
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
In many functional magnetic resonance imaging (fMRI) studies, respiratory signals are
unavailable or do not have acceptable quality due to issues with subject compliance …
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 …
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
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 …
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
Emotion dysregulation is linked to differences in frontoparietal (FPN) and default mode
(DMN) brain network functioning. These differences may be identifiable early in …
(DMN) brain network functioning. These differences may be identifiable early in …
Early life neuroimaging: The generalizability of cortical area parcellations across development
The cerebral cortex comprises discrete cortical areas that form during development.
Accurate area parcellation in neuroimaging studies enhances statistical power and …
Accurate area parcellation in neuroimaging studies enhances statistical power and …