Severe acquired brain injury (SABI) is a major global public health problem and a source of disability. A major contributor to disability after SABI is limited access to multidisciplinary rehabilitation, despite evidence of sustained functional gains, improved quality of life, increased return to work, and reduced need for long-term care. Twelve patients with a diagnosis of SABI were enrolled and equally divided into two groups: experimental and control. Patients in both groups underwent intensive neurorehabilitation according to the severity of their disabilities (motor, psycho-cognitive, and sensory deficits). However, in the experimental group, the treatment was performed by using a humanoid robot. At baseline, the two groups differed significantly only in Severe Impairment Battery (SIB) scores. Results showed that the experimental treatment had a higher effect than the traditional one on quality of life and mood. In conclusion, this pilot study provides evidence of the possible effects of relational and cognitive stimulation in more severely brain-injured patients.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146630PMC
http://dx.doi.org/10.3390/jcm11102940DOI Listing

Publication Analysis

Top Keywords

humanoid robot
8
brain injury
8
pilot study
8
quality life
8
robot cognitive
4
cognitive rehabilitation
4
patients
4
rehabilitation patients
4
patients severe
4
severe brain
4

Similar Publications

Integrating single-cell RNA and T cell/B cell receptor sequencing with mass cytometry reveals dynamic trajectories of human peripheral immune cells from birth to old age.

Nat Immunol

January 2025

Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China.

A comprehensive understanding of the evolution of the immune landscape in humans across the entire lifespan at single-cell transcriptional and protein levels, during development, maturation and senescence is currently lacking. We recruited a total of 220 healthy volunteers from the Shanghai Pudong Cohort (NCT05206643), spanning 13 age groups from 0 to over 90 years, and profiled their peripheral immune cells through single-cell RNA-sequencing coupled with single T cell and B cell receptor sequencing, high-throughput mass cytometry, bulk RNA-sequencing and flow cytometry validation experiments. We revealed that T cells were the most strongly affected by age and experienced the most intensive rewiring in cell-cell interactions during specific age.

View Article and Find Full Text PDF

Collective behavior in biological systems emerges from local interactions among individuals, enabling groups to adapt to dynamic environments. Traditional modeling approaches, such as bottom-up and top-down models, have limitations in accurately representing these complex interactions. We propose a novel potential field mechanism that integrates local interactions and environmental influences to explain collective behavior.

View Article and Find Full Text PDF

Biological activities observed in living systems occur as the output of which nanometer-, submicrometer-, and micrometer-sized structures and tissues non-linearly and dynamically behave through chemical reaction networks, including the generation of various molecules and their assembly and disassembly. To understand the essence of the dynamic behavior in living systems, simpler artificial objects that exhibit cell-like non-linear phenomena have been recently constructed. However, most objects exhibiting cell-like dynamics have been found through trial-and-error experiments, and there are no strategies for designing them as molecular systems.

View Article and Find Full Text PDF

Novel Automation, AI, and Biomimetic Engineering Advancements for Insect Studies and Management.

Curr Opin Insect Sci

January 2025

The BioRobotics Institute, Sant'Anna School of Advanced Studies, Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy; Department of Excellence in Robotics and AI, Sant'Anna, School of Advanced Studies, 56127, Pisa, Italy. Electronic address:

Entomology has seen remarkable advancements through the integration of robotics, artificial intelligence (AI), and biomimetic engineering. These technological innovations are revolutionizing how scientists study insect behavior, ecology, and management. Robotics and AI offer unprecedented precision and efficiency in monitoring and controlling insect populations.

View Article and Find Full Text PDF

Examining the human-centred challenges of human-swarm interaction.

Philos Trans A Math Phys Eng Sci

January 2025

Air Force Research Laboratory 711th Human Performance Wing, Wright-Patterson AFB, OH, USA.

We adopt a tripart approach in describing the human-centred challenges with human-swarm interaction. First, the results of large-N laboratory studies will be discussed which found evidence of trust biases (e.g.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!