grant

Functional brain mapping in pediatric neurosurgery

Organization WAYNE STATE UNIVERSITYLocation DETROIT, UNITED STATESPosted 1 Mar 2009Deadline 31 Mar 2027
NIHUS FederalResearch GrantFY202621+ years old3-D3-Dimensional3DAcuteAdultAdult HumanAgeAnatomic SitesAnatomic structuresAnatomyAnteriorAreaArtifactsAtlasesAuditoryAuditory PerceptionBehaviorBiological MarkersBrainBrain MappingBrain Nervous SystemBrain regionChildhoodClinicalCodeCoding SystemCoupledCouplingDWI (diffusion weighted imaging)DWI-MRIDataDevelopmentDiffusion MRIDiffusion Magnetic Resonance ImagingDiffusion Weighted MRIDiffusion weighted imagingDiffusion-weighted Magnetic Resonance ImagingDimensionsDissociationE-stimEEGElectric StimulationElectroencephalogramElectroencephalographyElectrophysiologyElectrophysiology (science)EncephalonEpilepsyEpileptic SeizuresEpilepticsEvaluationEventFiberFrequenciesGoalsGrantHigh Frequency OscillationHumanIndividualLanguageLanguage DisordersLinguisticLinguisticsLocationMR ImagingMR TomographyMRIMRIsMagnetic Resonance ImagingMapsMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceMethodsModelingModern ManMorphologic artifactsMovementNMR ImagingNMR TomographyNamesNeurobiologyNeurophysiology / ElectrophysiologyNeuropsychologiesNeuropsychologyNuclear Magnetic Resonance ImagingOlder PopulationOperative ProceduresOperative Surgical ProceduresOutcomeParietalPathologicPathway interactionsPatientsPerformancePhasePhoneticsPhysiologicPhysiologic pulsePhysiologicalPostoperativePostoperative PeriodPulseSeizure DisorderSeizuresSpeech SoundStimulusSuperior temporal gyrusSurgicalSurgical InterventionsSurgical ProcedureTechniquesTemporal LobeTestingTimeValidationVisualVisualizationZeugmatographyadulthoodage associated alterationsage associated changesage correlated alterationsage correlated changesage dependent alterationsage dependent changesage induced alterationsage induced changesage related alterationsage related changesage specific alterationsage specific changesagesaging associated alterationsaging associated changesaging correlated alterationsaging correlated changesaging dependent alterationsaging dependent changesaging induced alterationsaging induced changesaging related alterationsaging related changesaging specific alterationsaging specific changesalterations with ageanimationauditory stimulusbio-markersbiologic markerbiomarkerbody movementchanges with ageclinical practicecognitive functioncohortcomputer based predictiondMRIdevelopmentaldiffusion tensor imagingelectrophysiologicalelectrostimulationepilepsiaepilepsy participantepilepsy patientepilepsy subjectepilepsy volunteerepileptic patientepileptic subjectepileptogenichearing perceptionimprovedindividual patientinnovateinnovationinnovativelanguage deficitlanguage outcomelexicallexical retrievalmachine learning based modelmachine learning modelnamenamednamingneuralneurobiologicalneuropsychologicneurosurgerynovelolder groupsolder individualsolder personpathwaypatient subclasspatient subclusterpatient subgroupspatient subpopulationspatient subsetspatient subtypespatients with epilepsypediatricpredictive modelingpreservationprogramsprospectiverecruitresilienceresilientresponsesoundsound perceptionsubstantia albasurgerytemporal cortexthree dimensionaltractographyvalidationswhite matterwhite matter damage
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Full Description

We will determine the utility of a novel brain mapping technique for epilepsy presurgical evaluation, referred to
as 'six-dimensional (6D) dynamic tractography'. This innovative program animates the rapid neural propagations

along MRI-defined, 3D white matter tracts that connect regions supporting cognitive functions. Specifically, it will

use event-related high gamma activity to localize the regions supporting specific linguistic functions and compute

the velocity and strength of neural propagations based on the latency and amplitude of early neural responses

to single-pulse electrical stimulation. We expect that considering both the negative effect of damaged white

matter tracts and the positive effect of seizure control will help optimize the model's performance in predicting

postoperative language outcomes; this will be accomplished by incorporating the 6D dynamic tractography and

objective epilepsy biomarkers, including spontaneous high-frequency oscillations (HFOs) coupled to slow-waves,

into our predictive model. By also identifying and considering the physiological high gamma augmentation strictly

time-locked to stimuli and behaviors, our innovative intracranial EEG analysis will better distinguish the randomly-

occurring pathologic HFOs. Another significant advancement provided by our model is its independence of

conventional electrical stimulation mapping, which can acutely elicit seizures and fail to satisfactorily localize

language areas in certain patient subsets. Additionally, this project will use 6D dynamic tractography to provide

an explicit neurobiological model of language network dynamics, allowing us to tease apart the specific pathways

originating from temporal lobe cortices that support the lexical retrieval of auditory or visual domains. Our prior

project indicated that the arcuate fasciculus fibers support the direct transfer of lexical representations of auditory

sentences. We will now determine whether the lexical representations of visual objects are likewise transferred

via the arcuate fasciculus or others, including the fusiform-parietal fasciculus. To accomplish these goals, this

project will prospectively recruit a new cohort of 80 epilepsy patients - age range: 0.5 to 21 years - undergoing

extraoperative intracranial EEG recording and subsequent resective surgery. Finally, we will determine if the

human brain creates and strengthens language-related functional parcellations throughout development. It has

been suggested that the adult brain efficiently activates the posterior superior-temporal gyrus (STG) only during

sound onset to decode the boundary between sounds. In contrast, the anterior STG shows sustained activation

during an auditory stimulus to encode the phonetic features. We will determine if such a functional parcellation

is more evident in older individuals, whose brains are more developed. While providing hypotheses focusing on

specific brain regions, we will perform all of the proposed analyses at the whole-brain level. We will make all data

and codes publicly available to facilitate external validation and implementation.

Grant Number: 5R01NS064033-15
NIH Institute/Center: NIH

Principal Investigator: EISHI ASANO

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