Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment

S Khalighi, K Reddy, A Midya, KB Pandav… - NPJ precision …, 2024 - nature.com
This review delves into the most recent advancements in applying artificial intelligence (AI)
within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors …

Consciousness and sleep

G Tononi, M Boly, C Cirelli - Neuron, 2024 - cell.com
Sleep is a universal, essential biological process. It is also an invaluable window on
consciousness. It tells us that consciousness can be lost but also that it can be regained, in …

Multimodal neuroimaging in post-COVID syndrome and correlation with cognition

M Díez-Cirarda, M Yus, N Gómez-Ruiz, C Polidura… - Brain, 2023 - academic.oup.com
Brain changes have been reported in the first weeks after SARS-CoV-2 infection. However,
limited literature exists about brain alterations in post-COVID syndrome, a condition …

Classification of brain disorders in rs-fMRI via local-to-global graph neural networks

H Zhang, R Song, L Wang, L Zhang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Recently, functional brain network has been used for the classification of brain disorders,
such as Autism Spectrum Disorder (ASD) and Alzheimer's disease (AD). Existing methods …

Diagnostic value of plasma phosphorylated tau181 in Alzheimer's disease and frontotemporal lobar degeneration

EH Thijssen, R La Joie, A Wolf, A Strom, P Wang… - Nature medicine, 2020 - nature.com
With the potential development of new disease-modifying Alzheimer's disease (AD)
therapies, simple, widely available screening tests are needed to identify which individuals …

Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes

M **a, J Liu, A Mechelli, X Sun, Q Ma, X Wang… - Molecular …, 2022 - nature.com
Patients with major depressive disorder (MDD) exhibit concurrent deficits in both sensory
and higher-order cognitive processing. Connectome studies have suggested a principal …

Dual attention multi-instance deep learning for Alzheimer's disease diagnosis with structural MRI

W Zhu, L Sun, J Huang, L Han… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Structural magnetic resonance imaging (sMRI) is widely used for the brain neurological
disease diagnosis, which could reflect the variations of brain. However, due to the local …

Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities

R Wang, M Liu, X Cheng, Y Wu, A Hildebrandt… - Proceedings of the …, 2021 - pnas.org
Diverse cognitive processes set different demands on locally segregated and globally
integrated brain activity. However, it remains an open question how resting brains configure …

Hyperbaric oxygen therapy improves neurocognitive functions and symptoms of post-COVID condition: randomized controlled trial

S Zilberman-Itskovich, M Catalogna, E Sasson… - Scientific reports, 2022 - nature.com
Post-COVID-19 condition refers to a range of persisting physical, neurocognitive, and
neuropsychological symptoms after SARS-CoV-2 infection. The mechanism can be related …

An improved neuroanatomical model of the default-mode network reconciles previous neuroimaging and neuropathological findings

PN Alves, C Foulon, V Karolis, D Bzdok… - Communications …, 2019 - nature.com
The brain is constituted of multiple networks of functionally correlated brain areas, out of
which the default-mode network (DMN) is the largest. Most existing research into the DMN …