Results 41 to 50 of about 383 (157)

Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion [PDF]

Nature Communications, 2018
AbstractCognitive impairment is a feature of many psychiatric diseases, including schizophrenia. Here we aim to identify multimodal biomarkers for quantifying and predicting cognitive performance in individuals with schizophrenia and healthy controls. A supervised learning strategy is used to guide three-way multimodal magnetic resonance imaging (MRI ...
Jing Sui, Shile Qi, Theo G. M. van Erp, Juan Bustillo, Rongtao Jiang, Dongdong Lin, Jessica A. Turner, Eswar Damaraju, Andrew R. Mayer, Yue Cui, Zening Fu, Yuhui Du, Jiayu Chen, Steven G. Potkin, Adrian Preda, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Daniel S. O’Leary, Agnes McMahon, Tianzi Jiang, Vince D. Calhoun   +24 more
openaire   +5 more sources

Neuromarker Levels Also Predict Mortality in Adult Tuberculous Meningitis [PDF]

Clinical Infectious Diseases, 2018
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van Laarhoven, A., Koeken, V., Dian, S., Ganiem, A.R, van Crevel, R., van Crevel, R.   +5 more
openaire   +3 more sources

Impacto del neuromarketing en consumidores según su estrato socioeconómico, Lima, 2022 [PDF]

, 2022
La presente investigación ha tenido como objetivo general determinar el impacto del neuromarketing en las personas que residen en Lima y su influencia de compra o interés mediante la percepción visual, percepción auditiva y percepción olfativa.
Nación Palomino, Cinthya Graciela
core  

Multi-Model Order Spatially Constrained ICA Reveals Highly Replicable Group Differences and Consistent Predictive Results From Resting Data: A Large N fMRI Schizophrenia Study [PDF]

, 2023
Brain functional networks identified from resting functional magnetic resonance imaging (fMRI) data have the potential to reveal biomarkers for brain disorders, but studies of complex mental illnesses such as schizophrenia (SZ) often yield mixed results ...
Belger, Aysenil, Calhoun, Vince D, Ford, Judy M, Fu, Zening, Iraji, Armin, Kochunov, Peter, Mathalon, Daniel H, McEwen, Sara, Meng, Xing, Mueller, Bryon A, Pearlson, Godfrey, Potkin, Steven G, Preda, Adrian, Sui, Jing, Turner, Jessica, van Erp, Theo G M   +15 more
core   +1 more source

Neuromarkers for Mental Disorders: Harnessing Population Neuroscience

Frontiers in Psychiatry, 2018
Despite abundant research into the neurobiology of mental disorders, to date neurobiological insights have had very little impact on psychiatric diagnosis or treatment. In this review, we contend that the search for neuroimaging biomarkers-neuromarkers-of mental disorders is a highly promising avenue toward improved psychiatric healthcare.
Lee Jollans, Robert Whelan
openaire   +5 more sources

Dynamic Functional Connectivity Predicts Treatment Response to Electroconvulsive Therapy in Major Depressive Disorder [PDF]

, 2021
Background: Electroconvulsive therapy (ECT) is one of the most effective treatments for major depressive disorder. Recently, there has been increasing attention to evaluate the effect of ECT on resting-state functional magnetic resonance imaging (rs-fMRI)
Abbott, Christopher C, Bruni, Luis Emilio, Calhon, Vince D, Dini, Hossein, Espinoza, Randall, Fu, Zening, Mayberg, Helen S, Narr, Katherine L, Qi, Shile, Riva-Posse, Patricio, Sendi, Mohammad, Sui, Jing, van Rooji, Sanne J H   +12 more
core   +2 more sources

A multimodal vision transformer for interpretable fusion of functional and structural neuroimaging data. [PDF]

Hum Brain Mapp
The MultiViT model combines structural and functional neuroimaging data for the prediction of schizophrenia and integrates vision transformers with cross‐attention layers in order to preserve mutual information. The pipeline generates highly interpretable cross‐attention‐based brain saliency maps and emphasizes functional network connectivity patterns ...
Bi Y, Abrol A, Fu Z, Calhoun VD.
europepmc   +2 more sources

Functionally annotated electrophysiological neuromarkers of healthy ageing and memory function

Human Brain Mapping, 2023
Abstract The unprecedented increase in life expectancy presents a unique opportunity and the necessity to explore both healthy and pathological aspects of ageing. Electroencephalography (EEG) has been widely used to identify neuromarkers of cognitive ageing due to its affordability and ...
Tibor Auer, Robin Goldthorpe, Robert Peach, Henry Hebron, Ines R. Violante   +4 more
openaire   +2 more sources

Spatial Dynamic Subspaces Encode Sex-Specific Schizophrenia Disruptions in Transient Network Overlap and its Links to Genetic Risk [PDF]

, 2023
BACKGROUND: Recent advances in resting-state fMRI allow us to study spatial dynamics, the phenomenon of brain networks spatially evolving over time. However, most dynamic studies still use subject-specific, spatially-static nodes.
Adali, T, Adhikari, BM, Agcaoglu, O, Andrés-Camazón, P, Bustillo, JR, Calhoun, VD, Chen, J, Dhamala, M, Díaz-Caneja, CM, Faghiri, A, Fu, Z, Iraji, A, Kochunov, P, Lewis, N, Macciardi, F, Mathalon, DH, Pearlson, GD, Preda, A, van Erp, TGM   +18 more
core   +1 more source

Neuromarks [PDF]

, 2018
This Article predicts trademark law’s impending neural turn. A growing legal literature debates the proper role of neuroscientific evidence. Yet outside of criminal law, analysis of neuroscientific evidence in the courtroom has been lacking.
Bartholomew, Mark
core   +4 more sources