Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin
Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)
Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies
As autotopagnosia arises from neurological and irreversible damage, options regarding symptom reversal or control are limited. As of April 2010, there are no known specific treatments for autotopagnosia.
No medications or pharmaceutical remedies have been approved by the U.S. Food and Drug Administration to treat or cure autotopagnosia. There have been cases in which extensive rehabilitation has been beneficial following restitution, repetitive training to correct the impaired function, and compensation of other skills to make up for the deficit. Rehabilitation is not a definitive treatment and only shows signs of slight improvement in a small percentage of autotopagnosia patients. The condition of the disease can be monitored with continued neurological examination and using a CT scan to note the progression of the parietal lesion.
As autotopagnosia is not a life-threatening condition it is not on the forefront of medical research. Rather, more research is conducted regarding treatments and therapies to alleviate the lesions and traumas that can cause autotopagnosia. Of all the agnosias, visual agnosia is the most common subject of investigation because it is easiest to assess and has the most promise for potential treatments. Most autotopagnosia studies are centered on a few test subjects as part of a group of unaffected or “controlled” participants, or a simple case study. Case studies surrounding a single patient are most common due to the vague nature of the disease.