The use of real-time fMRI neurofeedback to enhance post-stroke motor recovery
<p>Real-time fMRI neurofeedback is a tool that allows individuals to self-modulate their ongoing brain activity. This may have clinical potential in disorders which are associated with aberrant brain activity, for example in stroke-induced hemiparesis.</p> <p>In this thesis two st...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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2021
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| _version_ | 1797107657684811776 |
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| author | Sanders, Z-B |
| author2 | Sampaio Baptista, C |
| author_facet | Sampaio Baptista, C Sanders, Z-B |
| author_sort | Sanders, Z-B |
| collection | OXFORD |
| description | <p>Real-time fMRI neurofeedback is a tool that allows individuals to self-modulate their ongoing brain activity. This may have clinical potential in disorders which are associated with aberrant brain activity, for example in stroke-induced hemiparesis.</p>
<p>In this thesis two studies are presented, which aim to explore the use of fMRI neurofeedback in chronic stroke patients suffering from hemiparesis. The first study examined the effect of having multiple training sessions and whether this boosted neurofeedback learning in healthy individuals. This was examined across two different conditions in which ipsilateral motor cortex activity was either up or down-regulated. Whilst cumulative effects over multiple training sessions could be observed when up-regulating ipsilateral activity, there was no apparent cumulative effect in the condition where ipsilateral activity was down-regulated.</p>
<p>The second study presented in this thesis is a double-blind, sham-controlled randomised trial in chronic stroke patients, in which patients were instructed to use neurofeedback to increase lateralisation of motor cortex activity. Patients were able to use neurofeedback to increase lateralisation of brain activity within training days. However, there was not any evidence that patients could continue to modulate brain activity after feedback was removed, although there were indications that this is related to how well patients performed during the neurofeedback training.</p>
<p>Additionally, improvements in gross motor performance of the stroke-affected limb were observed in the group receiving Real neurofeedback, compared to the Sham group. However, there was not any evidence of improvements on clinical measures of upper limb functioning. There was also evidence of changes in brain function and structure. This included increased activity in neurofeedback-related brain regions during a visuomotor squeeze task, as well as changes in the white-matter microstructure of the corticospinal tracts.</p>
<p>Finally, variability in patients’ neurofeedback learning success was explored with respect to baseline characteristics of the patients. No relationship could be found with baseline upper limb functioning, however there were some indications of relationships with baseline brain activity and brain structure which could help inform future studies aiming to predict neurofeedback outcomes.</p>
<p>Together, this work provides novel insight into the potential of real-time fMRI neurofeedback as a tool for stroke rehabilitation and opens up opportunities for future exploration of flexible and personalised treatment approaches using neurofeedback.</p>
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| first_indexed | 2024-03-07T07:17:41Z |
| format | Thesis |
| id | oxford-uuid:fe2fc0cb-ffa6-4baf-bccf-a10fc64e2f7b |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:17:41Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | oxford-uuid:fe2fc0cb-ffa6-4baf-bccf-a10fc64e2f7b2022-08-26T10:19:08ZThe use of real-time fMRI neurofeedback to enhance post-stroke motor recoveryThesishttp://purl.org/coar/resource_type/c_db06uuid:fe2fc0cb-ffa6-4baf-bccf-a10fc64e2f7bEnglishHyrax Deposit2021Sanders, Z-BSampaio Baptista, CJohansen-Berg, H<p>Real-time fMRI neurofeedback is a tool that allows individuals to self-modulate their ongoing brain activity. This may have clinical potential in disorders which are associated with aberrant brain activity, for example in stroke-induced hemiparesis.</p> <p>In this thesis two studies are presented, which aim to explore the use of fMRI neurofeedback in chronic stroke patients suffering from hemiparesis. The first study examined the effect of having multiple training sessions and whether this boosted neurofeedback learning in healthy individuals. This was examined across two different conditions in which ipsilateral motor cortex activity was either up or down-regulated. Whilst cumulative effects over multiple training sessions could be observed when up-regulating ipsilateral activity, there was no apparent cumulative effect in the condition where ipsilateral activity was down-regulated.</p> <p>The second study presented in this thesis is a double-blind, sham-controlled randomised trial in chronic stroke patients, in which patients were instructed to use neurofeedback to increase lateralisation of motor cortex activity. Patients were able to use neurofeedback to increase lateralisation of brain activity within training days. However, there was not any evidence that patients could continue to modulate brain activity after feedback was removed, although there were indications that this is related to how well patients performed during the neurofeedback training.</p> <p>Additionally, improvements in gross motor performance of the stroke-affected limb were observed in the group receiving Real neurofeedback, compared to the Sham group. However, there was not any evidence of improvements on clinical measures of upper limb functioning. There was also evidence of changes in brain function and structure. This included increased activity in neurofeedback-related brain regions during a visuomotor squeeze task, as well as changes in the white-matter microstructure of the corticospinal tracts.</p> <p>Finally, variability in patients’ neurofeedback learning success was explored with respect to baseline characteristics of the patients. No relationship could be found with baseline upper limb functioning, however there were some indications of relationships with baseline brain activity and brain structure which could help inform future studies aiming to predict neurofeedback outcomes.</p> <p>Together, this work provides novel insight into the potential of real-time fMRI neurofeedback as a tool for stroke rehabilitation and opens up opportunities for future exploration of flexible and personalised treatment approaches using neurofeedback.</p> |
| spellingShingle | Sanders, Z-B The use of real-time fMRI neurofeedback to enhance post-stroke motor recovery |
| title | The use of real-time fMRI neurofeedback to enhance post-stroke motor recovery |
| title_full | The use of real-time fMRI neurofeedback to enhance post-stroke motor recovery |
| title_fullStr | The use of real-time fMRI neurofeedback to enhance post-stroke motor recovery |
| title_full_unstemmed | The use of real-time fMRI neurofeedback to enhance post-stroke motor recovery |
| title_short | The use of real-time fMRI neurofeedback to enhance post-stroke motor recovery |
| title_sort | use of real time fmri neurofeedback to enhance post stroke motor recovery |
| work_keys_str_mv | AT sanderszb theuseofrealtimefmrineurofeedbacktoenhancepoststrokemotorrecovery AT sanderszb useofrealtimefmrineurofeedbacktoenhancepoststrokemotorrecovery |