Neurology

Effect of a robotic seal on the motor activity and sleep patterns of older people with dementia, as measured by wearable technology: A cluster-randomised controlled trial.

OBJECTIVES: The robotic seal, PARO, has been used as an alternative to animal-assisted therapies with residents with dementia in long-term care, yet understanding of its efficacy is limited by a paucity of research. We explored the effects of PARO on motor activity and sleep patterns, as measured by a wearable triaxial accelerometer.

Efficacy of the Regent Suit-based rehabilitation on gait EMG patterns in hemiparetic subjects: a pilot study.

BACKGROUND: The recovery of the functional limb mobility of patients with cerebral damages can take great benefit of the role offered by proprioceptive rehabilitation. Recently have been developed a special Regent Suit (RS) for rehabilitative applications. Actually, there are preliminary studies which describes the effects of RS on gait recovery of stroke patients in acute stage, but none in chron...

Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease.

Alzheimer's disease (AD) is a major neurodegenerative disease and the most common cause of dementia. Currently, no treatment exists to slow down or st...

Revealing Alzheimer's disease genes spectrum in the whole-genome by machine learning.

BACKGROUND: Alzheimer's disease (AD) is an important, progressive neurodegenerative disease, with a complex genetic architecture. A key goal of biomed...

Development of a System Architecture for Evaluation and Training of Proprioceptive Deficits of the Upper Limb.

Proprioception plays a fundamental role in maintaining posture and executing movement, and the quantitative evaluation of proprioceptive deficits in p...

Toward an Improvement of the Analysis of Neural Coding.

Machine learning and artificial intelligence have strong roots on principles of neural computation. Some examples are the structure of the first perce...

The Cost-Effectiveness of Using PARO, a Therapeutic Robotic Seal, to Reduce Agitation and Medication Use in Dementia: Findings from a Cluster-Randomized Controlled Trial.

OBJECTIVES: To examine the within-trial costs and cost-effectiveness of using PARO, compared with a plush toy and usual care, for reducing agitation a...

A wrapped multi-label classifier for the automatic diagnosis and prognosis of Alzheimer's disease.

BACKGROUND: AD is the most frequent neurodegenerative disease, severely impacting our society. Early diagnosis and prognosis are challenging tasks in ...

Motor modules during adaptation to walking in a powered ankle exoskeleton.

BACKGROUND: Modules of muscle recruitment can be extracted from electromyography (EMG) during motions, such as walking, running, and swimming, to iden...

Random ensemble learning for EEG classification.

Real-time detection of seizure activity in epilepsy patients is critical in averting seizure activity and improving patients' quality of life. Accurat...

Alzheimer's disease diagnostics by a 3D deeply supervised adaptable convolutional network.

Early diagnosis is playing an important role in preventing progress of the Alzheimer's disease (AD). This paper proposes to improve the prediction of ...

The Effect of Coatings and Nerve Growth Factor on Attachment and Differentiation of Pheochromocytoma Cells.

Cellular attachment plays a vital role in the differentiation of pheochromocytoma (PC12) cells. PC12 cells are noradrenergic clonal cells isolated fro...

Risk and Management of Postoperative Urinary Retention Following Spinal Surgery.

PURPOSE: Postoperative urinary retention (POUR) is a common complication after spinal surgery. However, no clear definition of POUR currently exists, ...

Determination of IMM-H004 and its active glucuronide metabolite in rat plasma and Ringer's solution by ultra-performance liquid chromatography-tandem mass spectrometry.

IMM-H004 is a novel neuroprotective agent and its glucuronide metabolite IMM-H004G has similar protective effects against cerebral ischemic injury in ...

Using a therapeutic companion robot for dementia symptoms in long-term care: reflections from a cluster-RCT.

OBJECTIVES: We undertook a cluster-randomised controlled trial exploring the effect of a therapeutic companion robot (PARO) compared to a look-alike p...

Feature Extraction with GMDH-Type Neural Networks for EEG-Based Person Identification.

The brain activity observed on EEG electrodes is influenced by volume conduction and functional connectivity of a person performing a task. When the t...

A novel method for the rapid detection of post-translationally modified visinin-like protein 1 in rat models of brain injury.

BACKGROUND: Although elevated serum levels of visinin-like protein 1 (VILIP-1), a neuron-specific calcium sensor protein, are associated with ischaemi...

The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods.

Standard neuroimaging data analysis based on traditional principles of experimental design, modelling, and statistical inference is increasingly compl...

Effect of Intercostal Nerve Block and Nephrostomy Tract Infiltration With Ropivacaine on Postoperative Pain Control After Tubeless Percutaneous Nephrolithotomy: A Prospective, Randomized, and Case-controlled Trial.

OBJECTIVE: To determine the efficacy of intercostal nerve block and nephrostomy tract infiltration (NTI) with ropivacaine in patients undergoing tubel...

Combining robotic training and inactivation of the healthy hemisphere restores pre-stroke motor patterns in mice.

Focal cortical stroke often leads to persistent motor deficits, prompting the need for more effective interventions. The efficacy of rehabilitation ca...