fMRIPrep: a robust preprocessing pipeline for functional MRI
Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …
clean and standardize the data before statistical analysis. Generally, researchers create ad …
Wearable sweat sensing for prolonged, semicontinuous, and nonobtrusive health monitoring
Together with the upcoming market for wearable consumer technologies, noninvasive and
continuous health monitoring has become a new trend in the healthcare landscape. In …
continuous health monitoring has become a new trend in the healthcare landscape. In …
Predictive processing models and affective neuroscience
The neural bases of affective experience remain elusive. Early neuroscience models of
affect searched for specific brain regions that uniquely carried out the computations that …
affect searched for specific brain regions that uniquely carried out the computations that …
Fine-grain atlases of functional modes for fMRI analysis
Population imaging markedly increased the size of functional-imaging datasets, shedding
new light on the neural basis of inter-individual differences. Analyzing these large data …
new light on the neural basis of inter-individual differences. Analyzing these large data …
Functional PET/MRI reveals active inhibition of neuronal activity during optogenetic activation of the nigrostriatal pathway
S Haas, F Bravo, TM Ionescu… - Science …, 2024 - science.org
The dopaminergic system is a central component of the brain's neurobiological framework,
governing motor control and reward responses and playing an essential role in various …
governing motor control and reward responses and playing an essential role in various …
Test–retest reliability of dynamic functional connectivity in naturalistic paradigm functional magnetic resonance imaging
X Zhang, J Liu, Y Yang, S Zhao, L Guo… - Human brain …, 2022 - Wiley Online Library
Dynamic functional connectivity (dFC) has been increasingly used to characterize the brain
transient temporal functional patterns and their alterations in diseased brains. Meanwhile …
transient temporal functional patterns and their alterations in diseased brains. Meanwhile …
[HTML][HTML] TbCAPs: A toolbox for co-activation pattern analysis
Functional magnetic resonance imaging provides rich spatio-temporal data of human brain
activity during task and rest. Many recent efforts have focussed on characterising dynamics …
activity during task and rest. Many recent efforts have focussed on characterising dynamics …
Knowing what you know in brain segmentation using Bayesian deep neural networks
In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer
segmentations of structural MRI volumes, in minutes rather than hours. The network was …
segmentations of structural MRI volumes, in minutes rather than hours. The network was …
Adolescents living with HIV, complex needs and resilience in Blantyre, Malawi
BN Kaunda-Khangamwa, P Kapwata, K Malisita… - AIDS Research and …, 2020 - Springer
Background Adolescents living with HIV (ALHIV) in Malawi experience multiple challenges
associated with their illness and various social, environmental, economic and cultural …
associated with their illness and various social, environmental, economic and cultural …
Representations of modality-general valence for videos and music derived from fMRI data
This study tested for neural representations of valence that are shared across visual and
auditory modalities referred to as modality-general representations. On a given trial …
auditory modalities referred to as modality-general representations. On a given trial …