Real-time fMRI for insular cortex brain state-triggered experience sampling
Real-time fMRI for insular cortex brain state-triggered experience sampling
批准号:
10590994
负责人:
Aaron Kucyi
金额:
$22.73万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-01-15 至 2024-12-31
关键词:
AddressAdultAffectAffectiveAnteriorAppearanceArousalAttentionBiological ProcessBrainBrain regionCoupledCouplingDataDetectionDevelopmentDiagnosticDistressDorsalElectrophysiology (science)EventFeelingFunctional Magnetic Resonance ImagingGenesHallucinationsHigh PrevalenceHumanIndividualInvestigationKnowledgeLifeMapsMediatingMental HealthMental disordersMethodsMydriasisNeuronsNormal RangeParticipantPatient Self-ReportPatientsPatternPersonsPharmacotherapyPhysiologicalPopulationProcessProtocols documentationPsychiatric DiagnosisPsychiatric therapeutic procedureReportingResearchResistanceRestSamplingScanningSignal TransductionSourceStructureSystemTestingThinkingTimeVisualblood oxygen level dependentdesignexperienceinsightinterestlocus ceruleus structureneuralneural circuitneurophysiologyneuroregulationnovel strategiesnovel therapeuticspsychologicruminationstandard caretherapy designtherapy development
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
For many patients suffering from psychiatric illness, the primary source of daily-life distress is inner
experiences that often seem to occur ‘on their own’ (self-generated experiences). These uncontrollable
experiences can take various forms, including rumination, worry, hallucination or delusional thinking. Given the
severe global burden of mental illness, and the high prevalence of patients who are resistant to current
treatments, there is a pressing need to develop new therapies designed to directly target the brain’s systems
that produce maladaptive self-generated experiences. As a precursor to therapy development, significant
progress must be made in our fundamental understanding of how the brain gives rise to self-generated
experiences. To address this need, we will develop a new approach called “real-time functional MRI (fMRI)-
triggered experience-sampling” to efficiently sample spontaneous neural events (of a predefined type) and to
map those events to specific qualities of self-generated experiences. Within 32 healthy adults, we will use
online (real-time) fMRI analysis to detect brain activations and trigger the appearance of visual rating scales so
that participants can report their experiences immediately after the occurrence of a neural event of interest.
This approach aims to maximize how informative the data are on each trial and to offer rigorous investigation
of the psychological significance of specific neural events. We will develop and validate our approach with a
focus on real-time fMRI analysis of the dorsal anterior insular cortex (daIC), a brain region implicated in
salience detection that is consistently identified as having aberrant structure, function, and connectivity in
psychiatric illness at a transdiagnostic level. Our Aim 1 is to determine whether spontaneous daIC activation
events are time-locked to instances of salient, high-arousal self-generated experience. We will sample self-
generated experiences both during instances of daIC activation and during baseline (intermediate daIC
activity) events. We hypothesize that daIC activation, relative to baseline events, will be time-locked to self-
generated experiences with higher subjective ratings of arousal and vividness (regardless of affective valence).
We will further test whether relationships between the daIC and self-generated experiences are mediated by
autonomic arousal, as assessed based on pupil dilation and activation within the locus coeruleus (a subcortical
generator of arousal-related neuromodulation). Our Aim 2 is to determine whether specific qualities of self-
generated experience depend on coupling between the daIC and whole-brain activity. We will examine
whether different instances of daIC activation co-occur with multiple, distinct whole-brain co-activation patterns.
We will further test whether distinct daIC co-activation patterns are associated with fluctuations in affect
(positive vs. negative experiences). If successful, our protocols can later be applied in patients with psychiatric
illness and to potentially guide the development of interventions (e.g., neurostimulation) that aim to target the
neural processes that produce self-generated experiences that are core to mental illness.
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会议论文
Investigating electroencephalographic predictors of default mode network anticorrelation for personalized neurofeedback
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批准号:10447471
-
项目类别:
-
资助金额:$0.0万
-
财政年份:2022
-
负责人:Aaron Kucyi
-
依托单位:
Investigating electroencephalographic predictors of default mode network anticorrelation for personalized neurofeedback
-
批准号:10684544
-
项目类别:
-
资助金额:$22.65万
-
财政年份:2022
-
负责人:Aaron Kucyi
-
依托单位:
Investigating electroencephalographic predictors of default mode network anticorrelation for personalized neurofeedback
-
批准号:10612484
-
项目类别:
-
资助金额:$18.86万
-
财政年份:2022
-
负责人:Aaron Kucyi
-
依托单位:
海外基金