Background: There are no reports on the therapeutic application of perceptive exploration activity in patients with unilateral spatial neglect (USN). This study monitored the course of acute occupational therapy using perceptive exploration activities in a patient with USN who had difficulty in manipulating tools for daily living after a stroke.
Case: A 70-year-old man was admitted to our hospital for conservative treatment of hemiparesis and USN caused by stroke. He was previously diagnosed with cerebral infarction due to middle cerebral artery occlusion. His main symptoms were hemiparesis, egocentric spatial neglect in personal space and peripersonal space, and allocentric neglect, which made it difficult to use tools for daily living. Within 24 h of admission, perceptive exploration activities were initiated as the main therapy in addition to preparatory therapies, such as the facilitation of selective movement of limbs affected by paralysis. These therapies were provided over a 30-day period in 40-min sessions, 5 days a week. This treatment resulted in improved test results for the Fugl-Meyer Assessment, Bisiach's body neglect and anosognosia scales, and the Behavioral Inattention Test. The Functional Independence Measure scores also improved with the improvement of neglect symptoms.
Discussion: This case study monitored the improvements of egocentric spatial neglect and allocentric neglect during therapy using perceptive exploration activities in a patient with USN who had difficulty manipulating tools for daily living. The effectiveness of the therapy should be confirmed by increasing the sample size in future studies.
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http://dx.doi.org/10.2490/prm.20220020 | DOI Listing |
IBRO Neurosci Rep
June 2025
Rehabilitation Clinic, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Objective: Unilateral spatial neglect (USN) following right hemisphere stroke is more pronounced, severe, and persistent than in the left hemisphere. However, the pathophysiological mechanisms underlying USN remain largely unknown. This study aims to investigate the relationship between the fractional amplitude of low-frequency fluctuations (fALFF) in the right hemisphere of patients with post-stroke USN and the severity of neglect using resting-state functional near-infrared spectroscopy (fNIRS) technology.
View Article and Find Full Text PDFSpatial transcriptomics data analysis integrates gene expression profiles with their corresponding spatial locations to identify spatial domains, infer cell-type dynamics, and detect gene expression patterns within tissues. However, the current spatial transcriptomics analysis neglects the multiscale cell-cell interactions that are crucial in biology. To fill this gap, we propose multiscale cell-cell interactive spatial transcriptomics (MCIST) analysis.
View Article and Find Full Text PDFDev Biol
January 2025
Institute for Stem Cell Science and Regenerative Medicine (iBRIC-inStem), GKVK-Post, Bellary Road, Bengaluru, Karnataka 560065, India. Electronic address:
Clin Neurol Neurosurg
January 2025
Department of Neurocience and Mental Health, Botucatu Medical School (UNESP), Botucatu, São Paulo, Brazil.
Introduction: Our primary clinical trial indicated that anodal stimulation of the right posterior parietal region associated with specific and perceptual task training was superior to placebo in reducing stroke-induced hemispatial neglect (HN) immediately after the treatment protocol. However, our primary study did not investigate whether this benefit was maintained in the long term after stroke. Therefore, this study aimed to evaluate the long-term effects of the protocol applied in the ELETRON trial on outcomes associated with HN, functionality, and mortality.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Computer Science, King AbdulAziz University, Jeddah 21589, Saudi Arabia.
Traffic flow prediction is a pivotal element in Intelligent Transportation Systems (ITSs) that provides significant opportunities for real-world applications. Capturing complex and dynamic spatio-temporal patterns within traffic data remains a significant challenge for traffic flow prediction. Different approaches to effectively modeling complex spatio-temporal correlations within traffic data have been proposed.
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