The prediction of brain activity from connectivity: advances and applications
M Bernstein-Eliav, I Tavor - The Neuroscientist, 2024 - journals.sagepub.com
The human brain is composed of multiple, discrete, functionally specialized regions that are
interconnected to form large-scale distributed networks. Using advanced brain-imaging …
interconnected to form large-scale distributed networks. Using advanced brain-imaging …
[HTML][HTML] Act natural: Functional connectivity from naturalistic stimuli fMRI outperforms resting-state in predicting brain activity
The search for an 'ideal'approach to investigate the functional connections in the human
brain is an ongoing challenge for the neuroscience community. While resting-state …
brain is an ongoing challenge for the neuroscience community. While resting-state …
An atlas of trait associations with resting-state and task-evoked human brain functional organizations in the UK Biobank
Functional magnetic resonance imaging (fMRI) has been widely used to identify brain
regions linked to critical functions, such as language and vision, and to detect tumors …
regions linked to critical functions, such as language and vision, and to detect tumors …
[HTML][HTML] Generalizing prediction of task-evoked brain activity across datasets and populations
Predictions of task-based functional magnetic resonance imaging (fMRI) from task-free
resting-state (rs) fMRI have gained popularity over the past decade. This method holds a …
resting-state (rs) fMRI have gained popularity over the past decade. This method holds a …
Predicting high-level visual areas in the absence of task fMRI
The ventral visual stream is organized into units, or functional regions of interest (fROIs),
specialized for processing high-level visual categories. Task-based fMRI scans (“localizers”) …
specialized for processing high-level visual categories. Task-based fMRI scans (“localizers”) …
Zero-shot learning of individualized task contrast prediction from resting-state functional connectomes
Given sufficient pairs of resting-state and task-evoked fMRI scans from subjects, it is possible
to train ML models to predict subject-specific task-evoked activity using resting-state …
to train ML models to predict subject-specific task-evoked activity using resting-state …
Dynamic effective connectivity among large‐scale brain networks mediates risk of anxiety
T Tian, D Liu, G Zhang, J Wang, C Wan… - Human Brain …, 2023 - Wiley Online Library
Anxiety is characterized by altered brain networks. Directional information flows among
dynamic brain networks concerning neuropathogenesis of anxiety have not yet been …
dynamic brain networks concerning neuropathogenesis of anxiety have not yet been …
[HTML][HTML] Exploring the neural basis of non-invasive prehabilitation in brain tumour patients: An fMRI-based case report of language network plasticity
L Boccuni, A Roca-Ventura, E Buloz-Osorio… - Frontiers in …, 2024 - ncbi.nlm.nih.gov
Primary brain neoplasms are associated with elevated mortality and morbidity rates. Brain
tumour surgery aims to achieve maximal tumour resection while minimizing damage to …
tumour surgery aims to achieve maximal tumour resection while minimizing damage to …
Individualised prediction of longitudinal change in multimodal brain imaging
It remains largely unknown whether individualised longitudinal changes of brain imaging
features can be predicted based only on the baseline brain images. This would be of great …
features can be predicted based only on the baseline brain images. This would be of great …
Predicting task-related brain activity from resting-state brain dynamics with fMRI Transformer
Accurate prediction of the brain's task reactivity from resting-state functional magnetic
resonance imaging (fMRI) data remains a significant challenge in neuroscience. Traditional …
resonance imaging (fMRI) data remains a significant challenge in neuroscience. Traditional …