AIMC Topic: Adult

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Multivariate representation of food preferences in the human brain.

Brain and cognition
One major goal in decision neuroscience is to investigate the neuronal mechanisms being responsible for the computation of product preferences. The aim of the present fMRI study was to investigate whether similar patterns of brain activity, reflectin...

Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system.

Applied ergonomics
In a new approach based on adaptive neuro-fuzzy inference systems (ANFIS), field heart rate (HR) measurements were used to classify work rate into four categories: very light, light, moderate, and heavy. Inter-participant variability (physiological a...

Probabilistic machine learning for the evaluation of presurgical language dominance.

Journal of neurosurgery
OBJECTIVE Providing a reliable assessment of language lateralization is an important task to be performed prior to neurosurgery in patients with epilepsy. Over the last decade, functional MRI (fMRI) has emerged as a useful noninvasive tool for langua...

Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach.

Journal of affective disorders
OBJECTIVE: A growing body of evidence has put forward clinical risk factors associated with patients with mood disorders that attempt suicide. However, what is not known is how to integrate clinical variables into a clinically useful tool in order to...

Abdominal compartment syndrome in traumatic hemorrhagic shock: is there a fluid resuscitation inflection point associated with increased risk?

American journal of surgery
BACKGROUND: The volume of fluid administered during trauma resuscitation correlates with the risk of abdominal compartment syndrome (ACS). The exact volume at which this risk rises is uncertain. We established the inflection point for ACS risk during...

Node Detection Using High-Dimensional Fuzzy Parcellation Applied to the Insular Cortex.

Neural plasticity
Several functional connectivity approaches require the definition of a set of regions of interest (ROIs) that act as network nodes. Different methods have been developed to define these nodes and to derive their functional and effective connections, ...

Bayesian network modeling: A case study of an epidemiologic system analysis of cardiovascular risk.

Computer methods and programs in biomedicine
An extensive, in-depth study of cardiovascular risk factors (CVRF) seems to be of crucial importance in the research of cardiovascular disease (CVD) in order to prevent (or reduce) the chance of developing or dying from CVD. The main focus of data an...