Clinical characteristics, pathophysiology, and management of noncentral nervous system cancer‐related cognitive impairment in adults

JS Wefel, SR Kesler, KR Noll… - CA: a cancer journal for …, 2015 - Wiley Online Library
Answer questions and earn CME/CNE Over the past few decades, a body of research has
emerged confirming what many adult patients with noncentral nervous system cancer have …

The neurobiology of emotion–cognition interactions: fundamental questions and strategies for future research

H Okon-Singer, T Hendler, L Pessoa… - Frontiers in human …, 2015 - frontiersin.org
Recent years have witnessed the emergence of powerful new tools for assaying the brain
and a remarkable acceleration of research focused on the interplay of emotion and …

Contrastive learning explains the emergence and function of visual category-selective regions

JS Prince, GA Alvarez, T Konkle - Science Advances, 2024 - science.org
Modular and distributed coding theories of category selectivity along the human ventral
visual stream have long existed in tension. Here, we present a reconciling framework …

3D-deep learning based automatic diagnosis of Alzheimer's disease with joint MMSE prediction using resting-state fMRI

NT Duc, S Ryu, MNI Qureshi, M Choi, KH Lee, B Lee - Neuroinformatics, 2020 - Springer
We performed this research to 1) evaluate a novel deep learning method for the diagnosis of
Alzheimer's disease (AD) and 2) jointly predict the Mini Mental State Examination (MMSE) …

A Hitchhiker's guide to functional magnetic resonance imaging

JM Soares, R Magalhães, PS Moreira… - Frontiers in …, 2016 - frontiersin.org
Functional Magnetic Resonance Imaging (fMRI) studies have become increasingly popular
both with clinicians and researchers as they are capable of providing unique insights into …

Functional magnetic resonance imaging methods

JE Chen, GH Glover - Neuropsychology review, 2015 - Springer
Since its inception in 1992, Functional Magnetic Resonance Imaging (fMRI) has become an
indispensible tool for studying cognition in both the healthy and dysfunctional brain. FMRI …

Neural decoding of music from the EEG

I Daly - Scientific Reports, 2023 - nature.com
Neural decoding models can be used to decode neural representations of visual, acoustic,
or semantic information. Recent studies have demonstrated neural decoders that are able to …

[HTML][HTML] Modeling and interpreting mesoscale network dynamics

AN Khambhati, AE Sizemore, RF Betzel, DS Bassett - NeuroImage, 2018 - Elsevier
Recent advances in brain imaging techniques, measurement approaches, and storage
capacities have provided an unprecedented supply of high temporal resolution neural data …

Mapping social reward and punishment processing in the human brain: A voxel-based meta-analysis of neuroimaging findings using the social incentive delay task

D Martins, L Rademacher, AS Gabay, R Taylor… - Neuroscience & …, 2021 - Elsevier
Social rewards or punishments motivate human learning and behaviour, and alterations in
the brain circuits involved in the processing of these stimuli have been linked with several …

Promises, pitfalls, and basic guidelines for applying machine learning classifiers to psychiatric imaging data, with autism as an example

P Kassraian-Fard, C Matthis, JH Balsters… - Frontiers in …, 2016 - frontiersin.org
Most psychiatric disorders are associated with subtle alterations in brain function and are
subject to large interindividual differences. Typically, the diagnosis of these disorders …