Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …
prevalence in natural language processing or computer vision. Since medical imaging bear …
[HTML][HTML] Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review
Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging
technique that enables in vivo reconstruction of the brain's white matter connections at …
technique that enables in vivo reconstruction of the brain's white matter connections at …
[HTML][HTML] Brain charts for the human lifespan
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research
and clinical studies of the human brain. However, no reference standards currently exist to …
and clinical studies of the human brain. However, no reference standards currently exist to …
[HTML][HTML] The Coronavirus Health and Impact Survey (CRISIS) reveals reproducible correlates of pandemic-related mood states across the Atlantic
The COVID-19 pandemic and its social and economic consequences have had adverse
impacts on physical and mental health worldwide and exposed all segments of the …
impacts on physical and mental health worldwide and exposed all segments of the …
Large-scale encoding of emotion concepts becomes increasingly similar between individuals from childhood to adolescence
Humans require a shared conceptualization of others' emotions for adaptive social
functioning. A concept is a mental blueprint that gives our brains parameters for predicting …
functioning. A concept is a mental blueprint that gives our brains parameters for predicting …
[HTML][HTML] Big data approaches to decomposing heterogeneity across the autism spectrum
Autism is a diagnostic label based on behavior. While the diagnostic criteria attempt to
maximize clinical consensus, it also masks a wide degree of heterogeneity between and …
maximize clinical consensus, it also masks a wide degree of heterogeneity between and …
Sex differences in the developing brain: insights from multimodal neuroimaging
AN Kaczkurkin, A Raznahan… - …, 2019 - nature.com
Youth (including both childhood and adolescence) is a period when the brain undergoes
dramatic remodeling and is also a time when neuropsychiatric conditions often emerge …
dramatic remodeling and is also a time when neuropsychiatric conditions often emerge …
Global-local transformer for brain age estimation
Deep learning can provide rapid brain age estimation based on brain magnetic resonance
imaging (MRI). However, most studies use one neural network to extract the global …
imaging (MRI). However, most studies use one neural network to extract the global …
[HTML][HTML] Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging
Two ongoing movements in human cognitive neuroscience have researchers shifting focus
from group-level inferences to characterizing single subjects, and complementing tightly …
from group-level inferences to characterizing single subjects, and complementing tightly …
Automagic: Standardized preprocessing of big EEG data
Electroencephalography (EEG) recordings have been rarely included in large-scale studies.
This is arguably not due to a lack of information that lies in EEG recordings but mainly on …
This is arguably not due to a lack of information that lies in EEG recordings but mainly on …