Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Saturday, December 14, 2024

Neuroplasticity and Imaging Methods in Rehabilitation

 Nothing here even remotely suggests how to make neuroplasticity repeatable on demand. 

We don't SPECIFICALLY  know why a neuron gives up its' current job and takes on a neighbors. Thus nothing on neuroplasticity is scientifically repeatable on demand. So, DEMAND your doctor give you EXACT PROTOCOLS to use. Don't allow your doctor to give you generalities.

Neuroplasticity and Imaging Methods in Rehabilitation

  • 1 Department of Industrial Engineering and Management, Ariel University, Ariel, Israel
  • 2 Department of Computer Science, University of California San Francisco, San Francisco, CA, United States

The final, formatted version of the article will be published soon.

    The contributions in this collection reflect diverse approaches to leveraging imaging techniques in rehabilitation research. Caminiti et al. design a protocol to assess the effectiveness of cognitive telerehabilitation methods for mild cognitive impairment, with a focus on evaluating changes in brain connectivity and cognitive performance over multiple follow-up intervals. Kirby et al. explore how sex differences shape white matter neuroplasticity during motor learning. The study shows that females exhibit more pronounced structural adaptations in white matter compared to males, despite similar improvements in motor performance. These findings highlight the importance of considering biological differences when developing personalized rehabilitation strategies. Martin Lotze highlights the importance of performance monitoring in longitudinal fMRI studies to ensure reliable and interpretable results. By addressing variables such as task precision, timing, and physiological responses, the study emphasizes strategies for minimizing confounding factors. These approaches improve the accuracy of imaging data and support the development of more robust neurorehabilitation interventions. Silva et al. investigate the use of Galvanic Vestibular Stimulation (GVS) to improve balance in patients with HTLV-1-associated myelopathy (HAM). The study reports significant short-term improvements in mobility and balance, with patients showing faster mobility (TUG test) and better balance (Berg Balance Scale scores) following the 12-week intervention. However, these gains diminished over time without continued stimulation, suggesting that ongoing use of GVS or home-based devices may be necessary to maintain long-term benefits. These studies highlight the complexity of neuroplasticity research and its practical implications for rehabilitation. One of the main takeaways is the importance of personalizing interventions, as demonstrated by Kirby et al. and Caminiti et al. They show how interventions can be tailored to meet individual needs, whether by considering biological differences or using targeted cognitive telerehabilitation methods. Another critical aspect is the methodological advancements, with Lotze's work on refining performance monitoring in fMRI studies to ensure more reliable and accurate results. Silva et al. also emphasize the importance of long-term strategies for maintaining therapeutic benefits, particularly in chronic conditions like HTLV-1-associated myelopathy, underlining the need for continuous stimulation to sustain progress. The studies in this collection point to promising avenues for advancing rehabilitation science. Caminiti et al. focus on evaluating cognitive telerehabilitation methods for MCI, aiming to understand their effectiveness in improving brain connectivity and cognitive performance. The importance of biological differences, as highlighted by Kirby et al., suggests that incorporating such factors can lead to more effective, personalized therapies. Lotze's work shows how refining imaging methodologies improves the precision of neuroplasticity studies, further strengthening the foundation of rehabilitation research. Finally, Silva et al. offer insights into the need for continued stimulation to maintain therapeutic gains, pointing to the potential benefits of home-based devices or sustained interventions. We thank the authors for their valuable contributions and the reviewers for their thoughtful feedback. Their combined efforts have enriched this Research Topic, paving the way for meaningful progress in rehabilitation research and practice.

    Keywords: neuroplasticity, Cognitive rehabilitation, Imaging technique, telerehabilitation, White matter (WM), brain connectivity, personalized therapy

    Received: 05 Dec 2024; Accepted: 12 Dec 2024.

    Copyright: © 2024 Laufer and Joshi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Ilan Laufer, Department of Industrial Engineering and Management, Ariel University, Ariel, Israel

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.     

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