Objective: To describe long-term effects on activity, participation, and quality of life (i) at different post-injury starting time points of attention training and (ii) of two different types of rehabilitation with attention training in patients after stroke or traumatic brain injury; and to describe their functioning level.

Design: 2 years after rehabilitation intervention, comparisons were made in one cohort receiving attention training subacute (< 4 months) or post-acute (4-12 months) and in one cohort with two different training methods, a process-based and an activity-based method respectively.

Patients: 100 patients were recruited from our earlier RCT study. They had mild to moderate stroke or traumatic brain injury with relatively limited symptomatology, and all had moderate to severe attention impairment.

Methods: A questionnaire-based interview: EuroQol 5 dimensions, Occupational Gaps Questionnaire, Work Ability Index, self-assessed work status, self-reported employment conditions, sick leave, and experienced cognitive limitations in work performance.

Results: An advantage for patients receiving subacute attention training regarding daily activities, work ability and returning to work.

Conclusion: The results indicate that subacute rehabilitation with attention training (< 4 months) is preferable compared to post-acute intervention (4-12 months). There were only minor differences between the training methods.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10802788PMC
http://dx.doi.org/10.2340/jrm.v56.5308DOI Listing

Publication Analysis

Top Keywords

attention training
24
brain injury
12
work ability
12
training
8
quality life
8
daily activities
8
activities work
8
rehabilitation attention
8
stroke traumatic
8
traumatic brain
8

Similar Publications

Importance: Climate change can adversely affect mental health, but the association of ambient temperature with psychiatric symptoms remains poorly understood.

Objective: To assess the association of ambient temperature exposure with internalizing, externalizing, and attention problems in adolescents from 2 population-based birth cohorts in Europe.

Design, Setting, And Participants: This cohort study analyzed data from the Dutch Generation R Study and the Spanish INMA (Infancia y Medio Ambiente) Project.

View Article and Find Full Text PDF

Abnormal network homogeneity in patients with bipolar disorder in attention network.

Brain Imaging Behav

January 2025

Key Laboratory of Adolescent Cyberpsychology and Behavior (Ministry of Education), Wuhan, China.

Bipolar disorder (BD) is a complex psychiatric condition marked by significant mood fluctuations that deeply affect quality of life. Understanding the neural mechanisms underlying BD is critical for improving diagnostic accuracy and developing more effective treatments. This study utilized resting-state functional magnetic resonance imaging (rs-fMRI) to investigate functional connectivity within the ventral and dorsal attention networks in 52 patients with BD and 51 healthy controls.

View Article and Find Full Text PDF

Goal of the present study was to develop and build a phantom that replicates the air gaps under a gel bolus and to estimate the surface dose (D) under normal incidence with a 6 MV photon beam. For this, an acrylic phantom with 10 plates, each including five open slots (one in the centre and four off axis) with a size of 2 cm × 2 cm at depths of 0.54 cm, 0.

View Article and Find Full Text PDF

Virtual Reality-Based Attention Prediction Model in Gaming for Autistic Children.

Int J Dev Neurosci

February 2025

Department of Computer Science and Engineering, Vels Institute of Science & Technology & Advanced Studies, Chennai, Tamilnadu, India.

Nowadays, virtual reality (VR) has emerged as a successful new therapeutic strategy in a variety of sectors of the health profession, including rehabilitation, the promotion of inpatients' emotional wellness, diagnostics, surgeon training and mental health therapy. This study develops a new model VRAPMG for children with ASD with the following steps that consider 3D gaming. In this work, the face image is considered to evaluate the attention of the children.

View Article and Find Full Text PDF

Background/purpose: Artificial intelligence (AI) can assist in medical diagnosis owing to its high accuracy and efficiency. This study aimed to develop a diagnostic system for automatically determining the degree of tooth wear (TW) using intraoral photographs with deep learning.

Materials And Methods: The study included 388 intraoral photographs.

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!