AIMC Topic: Connectome
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The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction.
Medical image analysis
Nov 26, 2024
The Developing Human Connectome Project (dHCP) aims to explore developmental patterns of the human brain during the perinatal period. An automated processing pipeline has been developed to extract high-quality cortical surfaces from structural brain ...
Altered Blood Oxygen Level-Dependent Signal Stability in the Brain of Patients with Major Depressive Disorder Undergoing Resting-State Functional Magnetic Resonance Imaging.
Neuropsychobiology
Nov 26, 2024
INTRODUCTION: Major depressive disorder (MDD) is a common, relapse-prone psychiatric disorder with unknown pathogenesis. Previous studies on resting-state functional magnetic resonance imaging of MDD have mostly focused on the spontaneous activity of...
A novel approach for brain connectivity using recurrent neural networks and integrated gradients.
Computers in biology and medicine
Nov 21, 2024
Brain connectivity is an important tool for understanding the cognitive and perceptive neural mechanisms in the neuroimaging field. Many methods for estimating effective connectivity have relied on the linear regressive model. However, the linear reg...
Machine learning-based estimation of respiratory fluctuations in a healthy adult population using resting state BOLD fMRI and head motion parameters.
Magnetic resonance in medicine
Oct 31, 2024
PURPOSE: External physiological monitoring is the primary approach to measure and remove effects of low-frequency respiratory variation from BOLD-fMRI signals. However, the acquisition of clean external respiratory data during fMRI is not always poss...
Subcortical and insula functional connectivity aberrations and clinical implications in first-episode schizophrenia.
Asian journal of psychiatry
Oct 28, 2024
INTRODUCTION: Schizophrenia is a complex mental disorder whose pathophysiology remains elusive, particularly in the roles of subcortex. This study aims to explore the role of subcortex and insula and their relationship with symptom changes in first-e...
Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomes.
Neural networks : the official journal of the International Neural Network Society
Sep 30, 2024
This article considers the problem of classifying individuals in a dataset of diverse psychosis spectrum conditions, including persons with subsyndromal psychotic-like experiences (PLEs) and healthy controls. This task is more challenging than the tr...
Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights.
BMC neurology
Sep 28, 2024
Connectomics is a neuroscience paradigm focused on noninvasively mapping highly intricate and organized networks of neurons. The advent of neuroimaging has led to extensive mapping of the brain functional and structural connectome on a macroscale lev...
Molecular connectomics: Placing cells into morphological tissue context.
PLoS biology
Aug 26, 2024
Here we propose "molecular connectomics" to link molecular and morphological cell features in three dimensions across scales, using machine learning and artificial intelligence to reveal emergent properties of complex biological systems.
Separating group- and individual-level brain signatures in the newborn functional connectome: A deep learning approach.
NeuroImage
Aug 22, 2024
Recent studies indicate that differences in cognition among individuals may be partially attributed to unique brain wiring patterns. While functional connectivity (FC)-based fingerprinting has demonstrated high accuracy in identifying adults, early s...
Unveiling the core functional networks of cognition: An ontology-guided machine learning approach.
NeuroImage
Aug 20, 2024
Deciphering the functional architecture that underpins diverse cognitive functions is fundamental quest in neuroscience. In this study, we employed an innovative machine learning framework that integrated cognitive ontology with functional connectivi...
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