Effects of blood-brain barrier disruption upon white matter connectivity subsequent to traumatic brain injury
Effects of blood-brain barrier disruption upon white matter connectivity subsequent to traumatic brain injury
批准号:
9888449
负责人:
Andrei Irimia
金额:
$32.48万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-03-15 至 2022-02-28
关键词:
AcuteAffectAgeAreaAtrophicAxonBlood VesselsBrainBrain ConcussionBrain InjuriesBrain imagingBrain regionChronic PhaseClinicalCommunicationDeteriorationDiffusion Magnetic Resonance ImagingEvolutionGoalsGraphHemorrhageHumanImageImpaired cognitionInjuryLeadLesionLobarLocationLong-Term EffectsMagnetic Resonance ImagingMeasuresMechanicsMembraneMethodsNatureNeurologicNeuronal DysfunctionNeuropsychological TestsNeuropsychologyPathway interactionsPatientsPersonal SatisfactionPredispositionPropertyRecoveryRecovery of FunctionResearchResearch Project GrantsRoleSeveritiesStructureSurvivorsTimeTraumatic Brain InjuryTraumatic injuryTweensWorkaxon injurybaseblood-brain barrier disruptionbrain circuitryconnectomecostexperiencehuman imagingimprovedinsightmild traumatic brain injuryneuroimagingnovelphysical propertyrelating to nervous systemsegmentation algorithmsexspatiotemporalvolunteerwhite matter
中文摘要
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英文摘要
ABSTRACT/SUMMARY
The dynamics of human connectome reorganization following blood-brain barrier (BBB) disruption during
traumatic brain injury (TBI) remains poorly understood. In magnetic resonance imaging (MRI) of the human brain,
susceptibility-weighted imaging (SWI) has become the sequence of choice for the clinical identification of micro-
hemorrhages, which are indicators of BBB disruption. Partly because blood vessel walls may be more
mechanically elastic than axonal membranes, the presence of (micro-) hemorrhages is strongly correlated with
that of traumatic axonal injury (TAI) as revealed by diffusion tensor imaging (DTI). To this day, few studies have
quantified in systematic detail (A) how white matter (WM) connectivity is affected by BBB disruption and by TAI,
and (B) how SWI-resolved micro-hemorrhages (presumably located in regions strongly affected by TAI) lead to
changes in the structural and functional organization of the connectome. Without understanding these
phenomena at the scale of the entire brain (rather than on a strictly regional or lobar level) it may be very
challenging to assess their true impact upon patients' long-term well-being. The goal of this proposed research
project is to (A) assess the sequelae of (micro-) hemorrhages in mild TBI and to (B) quantify the short- and long-
term effects of hemorrhagic lesions and mechanical shearing upon neurological and neuropsychological function
in patients with mild TBI. This work may provide novel insights into how BBB disruption and mechanical shearing
of axons during TAI lead to neural and cognitive dysfunction. We propose to use novel quantitative methods for
neuroimage analysis to answer fundamental questions pertaining to the role of BBB disruption and TAI in the
reorganization of the human connectome. Specifically, we seek to (1) quantify the longitudinal evolution of WM
connectivity in (peri-) lesional regions affected by BBB disruption as reflected by the presence of SWI-resolvable
(micro-) hemorrhages, (2) resolve the spatio-temporal relationship between the presence of (micro-)
hemorrhages, and TAI-related changes in the human connectome which occur within the first 12 months post-
injury, and (3) quantify how the interplay between (micro-) hemorrhage-related BBB disruption, TAI and WM
atrophy modulates the deterioration and/or recovery of neuropsychological function within the first 12 months
after TBI. Improved understanding of these correlations between (micro-) bleed occurrence and functional
sequelae could allow the true severity of concussions and other forms of traumatic injuries to be assessed at an
early stage. In turn, this could allow clinicians to gain novel insights pertaining to the potential consequences of
SWI-resolved (micro-) hemorrhages upon neurological and neuropsychological function.
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批准号:10662151
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项目类别:
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资助金额:$245.26万
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财政年份:2023
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负责人:Andrei Irimia
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依托单位:
Interpretable machine learning to synergize brain age estimation and neuroimaging genetics
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批准号:10568234
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项目类别:
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资助金额:$80.69万
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财政年份:2023
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负责人:Andrei Irimia
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依托单位:
海外基金