Ignite Creation Date:
2024-05-06 @ 3:33 PM
Last Modification Date:
2024-10-26 @ 1:52 PM
Study NCT ID:
NCT04675047
Status:
UNKNOWN
Last Update Posted:
2022-10-13
First Post:
2020-12-09
Brief Title:
Multimodal Brain Decoding of Pain Sensitivity
Sponsor:
National Yang Ming Chiao Tung University
Organization:
National Yang Ming Chiao Tung University
Study Overview
Official Title:
Multimodal Brain Decoding of Pain Sensitivity
Status:
UNKNOWN
Status Verified Date:
2022-09
Last Known Status:
ACTIVE_NOT_RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Pain is the leading cause of disability worldwide However the pain sensitivity of individuals varies to a large extent which often results in the mismatch between clinical diagnosis or treatment and individuals actual needs There are still no established objective indicators for comparisons between individuals This integrated pilot project is the first large-scale multi-modal brain decoding study for pain sensitivity We will explore the brain network signature of pain sensitivity by analyzing electroencephalogram EEG signals and magnetic resonance imaging MRI Meanwhile we will integrate the innate environmental and humanity factors with aforementioned brain network signatures to establish multi- modal objective model of pain sensitivity using machine learning This research team is composed of more than 30 physicians scientists and IT experts along with international collaborators with expertise in the fields of neuroscience medical imaging and human philosophy The five elite groups constitute this international research team and establish five multi-disciplinary sub-projects Sub-project A Pain sensitivity and associated innate and environmental factors Sub-project B Electrophysiological brain signatures of pain sensitivity Sub-project C MRI brain signatures of pain sensitivity Sub-project D Innovative brain computer interface BCI technology in pain sensitivity measurement and prediction Sub-project E Pain and Art neuro-mental mechanisms and potential applications There are three key features of this integrated project scientific novelty technology and humanity In terms of scientific novelty in addition to machine learning and big data applications we will focus on the deep brain structure such as brainstem in which the image acquisition has been difficult in the past We will develop an MRI sequence and EEG protocol optimized for brainstem In terms of technology we will develop a wearable EEG cap implanted with algorithm chip for clinical measurement to decode the pain sensitivity real time In terms of humanity we will combine music and painting appreciation to explore their impact on brain signatures related to pain sensitivity Furthermore we will develop potential applications of art intervention in pain modulation We expect this pilot project to achieve the four following goals
1 To establish a Taiwan database of pain sensitivity Meanwhile to clarify the interactions between the innate and environmental factors of the individual and the brain network and to identify brain signatures related to pain sensitivity sub- projects A B C
2 To confirm the brain signatures for predicting the pain sensitivity using machine learning In addition to develop wearable devices such as EEG cap for large sample screening by combining the brain-computer interface through the industry-university cooperation sub-projects B C D
3 To explore the plasticity of brain signatures related to pain sensitivity by sensory modulation such as music painting appreciation or transcutaneous electrical nerve stimulation and to explore the application potential for pain modulation sub-projects B C D E
4 Based on the cooperation model of this international research team we will cultivate young researchers and promote academic interactions among different team members and improve the international visibility and competitiveness of Taiwan sub-projects A B C D E
1 To establish a Taiwan database of pain sensitivity Meanwhile to clarify the interactions between the innate and environmental factors of the individual and the brain network and to identify brain signatures related to pain sensitivity sub- projects A B C
2 To confirm the brain signatures for predicting the pain sensitivity using machine learning In addition to develop wearable devices such as EEG cap for large sample screening by combining the brain-computer interface through the industry-university cooperation sub-projects B C D
3 To explore the plasticity of brain signatures related to pain sensitivity by sensory modulation such as music painting appreciation or transcutaneous electrical nerve stimulation and to explore the application potential for pain modulation sub-projects B C D E
4 Based on the cooperation model of this international research team we will cultivate young researchers and promote academic interactions among different team members and improve the international visibility and competitiveness of Taiwan sub-projects A B C D E
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None