AIMC Topic: Adolescent

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Computer aided diagnosis of schizophrenia on resting state fMRI data by ensembles of ELM.

Neural networks : the official journal of the International Neural Network Society
Resting state functional Magnetic Resonance Imaging (rs-fMRI) is increasingly used for the identification of image biomarkers of brain diseases or psychiatric conditions such as schizophrenia. This paper deals with the application of ensembles of Ext...

Robotic and clinical evaluation of upper limb motor performance in patients with Friedreich's Ataxia: an observational study.

Journal of neuroengineering and rehabilitation
BACKGROUND: Friedreich's ataxia (FRDA) is the most common hereditary autosomal recessive form of ataxia. In this disease there is early manifestation of gait ataxia, and dysmetria of the arms and legs which causes impairment in daily activities that ...

Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism.

NeuroImage. Clinical
Despite consensus on the neurological nature of autism spectrum disorders (ASD), brain biomarkers remain unknown and diagnosis continues to be based on behavioral criteria. Growing evidence suggests that brain abnormalities in ASD occur at the level ...

Robot-assisted gait training might be beneficial for more severely affected children with cerebral palsy.

Developmental neurorehabilitation
PURPOSE: Robot-assisted gait training (RAGT) can complement conventional therapies in children with cerebral palsy. We investigated changes in walking-related outcomes between children with different Gross Motor Function Classification System (GMFCS)...

Relative Attribute SVM+ Learning for Age Estimation.

IEEE transactions on cybernetics
When estimating age, human experts can provide privileged information that encodes the facial attributes of aging, such as smoothness, face shape, face acne, wrinkles, and bags under-eyes. In automatic age estimation, privileged information is unavai...

Investigating the use of support vector machine classification on structural brain images of preterm-born teenagers as a biological marker.

PloS one
Preterm birth has been shown to induce an altered developmental trajectory of brain structure and function. With the aid support vector machine (SVM) classification methods we aimed to investigate whether MRI data, collected in adolescence, could be ...

Transaxillary thyroidectomies: a comparative learning experience of robotic vs endoscopic thyroidectomies.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
OBJECTIVE: Robotic and endoscopic approaches have become more accepted in thyroid surgery, with current literature documenting the experience of high-volume centers. We adopted both approaches concurrently, and this series presents our initial experi...

Defining functional groups based on running kinematics using Self-Organizing Maps and Support Vector Machines.

Journal of biomechanics
A functional group is a collection of individuals who react in a similar way to a specific intervention/product such as a sport shoe. Matching footwear features to a functional group can possibly enhance footwear-related comfort, improve running perf...

Abstract computation in schizophrenia detection through artificial neural network based systems.

TheScientificWorldJournal
Schizophrenia stands for a long-lasting state of mental uncertainty that may bring to an end the relation among behavior, thought, and emotion; that is, it may lead to unreliable perception, not suitable actions and feelings, and a sense of mental fr...