Collaborative robot (cobot) controlled system for transcranial magnetic stimulation
Collaborative robot (cobot) controlled system for transcranial magnetic stimulation
批准号:
10177246
负责人:
Aapo Nummenmaa
金额:
$55.83万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-06-15 至 2023-06-14
关键词:
AnatomyAreaBrainCommunitiesComplexConsumptionDataDetectionDevelopmentDevicesDiagnosticDrug resistanceFatigueGoalsHeadHumanIndividualInvestigationLocationMagnetic Resonance ImagingMagnetoencephalographyManualsMechanicsMental DepressionMethodsMotionMovementNatureNeuronavigationPainlessPositioning AttributePositron-Emission TomographyResearchResourcesRobotRoboticsScalp structureSecondary toSystemTechnologyTherapeuticTimeTranscranial magnetic stimulationcostcraniumelectric fieldexperimental studyfunctional magnetic resonance imaging/electroencephalographyimage guidedinstrumentinstrumentationmagnetic fieldneuroimagingneuroregulationnovel therapeuticsportabilityresponsetranslational study
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Transcranial Magnetic Stimulation (TMS) is a method for non-invasive neuromodulation that uses strong
currents passed to a coil placed next to the scalp to induce electric fields and currents in the brain. The fact
that the electric field is induced by a time-varying magnetic field enables the stimulation to penetrate the skull
efficiently, safely, and painlessly. Therefore, TMS has become highly popular for both basic scientific research
and for diagnostic and therapeutic applications such as treatment of drug-resistant depression. It is well known
that the effects of the TMS-induced brain activations propagate from the primary target area to the secondary
areas that are anatomically connected to it, generating a network-level response. This observation has
important consequences for understanding the effects of the stimulation. First, the primary target location must
be defined with respect to individual anatomy and the stimulation location maintained consistently. Second,
neuroimaging methods are needed to record how the brain networks respond to the stimulation.
TMS neuronavigation systems have rapidly gained popularity in the scientific community due to the
development of the accurate frameless stereotactic systems utilizing subject-specific Magnetic Resonance
Imaging (MRI) data to define stimulation targets. While it is possible to obtain accurate manual coil positioning
under MRI guided neuronavigation, for more complex experiments this may cause significant operator fatigue
due to holding the bulky TMS coil in a fixed position for extended periods of time resulting in unwanted
variability in the spatial targeting of the stimulation. Mechanical coil holders can be employed to mitigate the
operator fatigue, but any movement of the subject’s head will require a time-consuming repositioning of the
holder device. Robotic positioning of the TMS coil is arguably the most accurate and efficient method for
resolving these issues, but the instrumentation is rather costly, and the system has limited mobility/portability
due to its large size. Recently, collaborative robot (cobot) technology was introduced to lower the cost and
increase the mobility of automatic TMS coil positioning. The system can be piloted also manually and after
initial guidance of the TMS coil to the desired target by a human operator, the TMS cobot will maintain
consistent positioning of the coil with a high degree of accuracy and automatic detection/correction for head
motion. In this proposal, the goal is to acquire an instrument system for neuronavigated TMS controlled with a
collaborative robot. Due to its transportable nature, the system can be used in conjunction with neuroimaging
methods such as functional MRI (fMRI), electroencephalography (EEG), magnetoencephalography (MEG),
and Positron Emission Tomography (PET). The capability of and combining TMS with neuroimaging to observe
and quantify the neuromodulation effects enable parallel translational studies on potential new therapeutic
TMS applications and more detailed investigations of the fundamental activation mechanisms. The instrument
system will be a unique resource for a large group of users in the local area.
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