Functional neuroimaging as a catalyst for integrated neuroscience
Functional magnetic resonance imaging (fMRI) enables non-invasive access to the awake,
behaving human brain. By tracking whole-brain signals across a diverse range of cognitive …
behaving human brain. By tracking whole-brain signals across a diverse range of cognitive …
Emerging synergies in causality and deep generative models: A survey
In the field of artificial intelligence (AI), the quest to understand and model data-generating
processes (DGPs) is of paramount importance. Deep generative models (DGMs) have …
processes (DGPs) is of paramount importance. Deep generative models (DGMs) have …
[PDF][PDF] Interventional and counterfactual inference with diffusion models
We consider the problem of answering observational, interventional, and counterfactual
queries in a causally sufficient setting where only observational data and the causal graph …
queries in a causally sufficient setting where only observational data and the causal graph …
Mapping effective connectivity of human amygdala subdivisions with intracranial stimulation
The primate amygdala is a complex consisting of over a dozen nuclei that have been
implicated in a host of cognitive functions, individual differences, and psychiatric illnesses …
implicated in a host of cognitive functions, individual differences, and psychiatric illnesses …
Activity flow underlying abnormalities in brain activations and cognition in schizophrenia
Cognitive dysfunction is a core feature of many brain disorders, including schizophrenia
(SZ), and has been linked to aberrant brain activations. However, it is unclear how these …
(SZ), and has been linked to aberrant brain activations. However, it is unclear how these …
Common fronto-temporal effective connectivity in humans and monkeys
Human brain pathways supporting language and declarative memory are thought to have
differentiated substantially during evolution. However, cross-species comparisons are …
differentiated substantially during evolution. However, cross-species comparisons are …
Pre-and post-surgery brain tumor multimodal magnetic resonance imaging data optimized for large scale computational modelling
We present a dataset of magnetic resonance imaging (MRI) data (T1, diffusion, BOLD)
acquired in 25 brain tumor patients before the tumor resection surgery, and six months after …
acquired in 25 brain tumor patients before the tumor resection surgery, and six months after …
Functional and effective connectivity analysis of drug-resistant epilepsy: a resting-state fMRI analysis
EJ Bacon, C Jin, D He, S Hu, L Wang, H Li… - Frontiers in …, 2023 - frontiersin.org
Objective Epilepsy is considered as a neural network disorder. Seizure activity in epilepsy
may disturb brain networks and damage brain functions. We propose using resting-state …
may disturb brain networks and damage brain functions. We propose using resting-state …
What Are the Contributions and Challenges of Direct Intracranial Electrical Stimulation in Human Cognitive Neuroscience?
Direct electrical stimulation (DES) is an old and powerful technique to causally inform about
the localization of human brain function for clinical and research purposes. However, DES …
the localization of human brain function for clinical and research purposes. However, DES …
An adaboost support vector machine based Harris Hawks optimization algorithm for intelligent quotient estimation from MRI Images
P Thilakavathy, B Diwan - Neural Processing Letters, 2023 - Springer
Human intelligence is measured using the Intelligent Quotient (IQ) score which is derived
from a range of tests. Due to a lack of a large dataset, IQ was estimated utilizing consistent …
from a range of tests. Due to a lack of a large dataset, IQ was estimated utilizing consistent …