Specific modulation of local and long-range visual cortical circuits by goal-directed attention
Specific modulation of local and long-range visual cortical circuits by goal-directed attention
批准号:
9396577
负责人:
Ashley Marie Wilson
金额:
$3.51万
依托单位:
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:
2017-09-01 至 2019-08-31
关键词:
AccelerometerAffectAnatomyAreaAttentionAttention Deficit DisorderAuditoryAutistic DisorderBehaviorBehavioralBiological ModelsBrainCalciumCellsCodeCognitiveComplexCuesDataDiseaseGene ExpressionGoalsHeadHealthImageImpairmentInjectableKnowledgeLightLinkMeasuresMediatingMental disordersMicroscopyModalityMonitorMusNatureNeuronsNoiseOrganismPatientsPerceptionPerformancePhasePhysiologicalPopulationPopulation HeterogeneityPresynaptic TerminalsProcessPropertyRouteSchizophreniaSensorySignal TransductionStimulusStreamSubgroupTestingTimeV1 neuronVirusVisionVisualVisual CortexVisual system structurearea striataattentional modulationauditory stimulusbasecalcium indicatordirected attentionexcitatory neuronexperimental studyextrastriate visual cortexfeedingflexibilityimprovedinhibitory neuronneural circuitneurotransmissionnovelparallel processingpublic health relevancereceptive fieldresponsesensory stimulustooltrial comparingtwo-photonvisual informationvisual processingvisual stimulus
中文摘要
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英文摘要
ABSTRACT
The amount of sensory information available in the world would be overwhelming if we weren’t able to
rapidly and flexibly select specific stimuli that are relevant to our current needs. Endogenous control of sensory
processing enables improvements in both perceptual sensitivity and behavioral performance and disruption of
these cognitive mechanisms in psychiatric diseases have been linked to deficits in behavioral flexibility. Attention
to specific stimulus features may make sensory encoding more efficient by modulating activity in cortical
networks that process those unique features. Indeed, in visual cortical areas, when attention is directed toward
the receptive field of a neuron, the firing rate increases and coordinated activity with other neurons changes.
These findings suggest that attention improves perceptual performance by improving the signal carried by
specific pools of neurons to their downstream targets for interpreting the visual scene. Additionally, since these
changes occur on a rapid timescale, they must be mediated by changes in the functional connectivity that bias
feed-forward processing. Determining which visual cortical circuits rapidly change their activity and connectivity
with attention will require a behavioral task developed in an organism in which tools for monitoring and
manipulating activity in specific subsets of neurons can be used. To this end, I have developed a cued, multi-
modal attention paradigm for head-fixed mice; this will allow me to use two-photon calcium imaging to monitor
neuronal activity in the primary visual cortex (V1) as the mouse performs the task. In this project I will test the
hypothesis that specialized subnetworks of V1 neurons are rapidly and selectively modulated by attention to the
features they encode. My preliminary data suggests that V1 neuron responses, on average, increase their activity
when visual stimuli are behaviorally relevant. In Aim 1, I will determine the effect and time-course of attentional
modulation in mouse V1 to test the hypothesis that V1 neurons are modulated on a rapid, trial-to-trial timescale.
Feature attention may improve encoding in V1 by increasing the signal-to-noise of neurons that respond best to
those features. In Aim 2, I will identify functional subgroups of neurons based on their tuning properties to the
visual stimuli used in the task, and determine which are specifically modulated by attention. In Aim 3, I will
determine whether anatomically defined populations are specifically modulated by attention. In these
experiments, I will image V1 axon terminals in the higher visual areas, thus isolating specific cortico-cortical
projections to compare if these different processing streams change their activity when visual stimuli are
attended. This latter experiment will reveal how the effects of attention on visual processing are passed on to
downstream targets to affect behavior. By opening new avenues for determining the cellular and circuit
mechanisms of attention, this project will bring the field closer to understanding how sensory processing
machinery can be optimized to guide perception and behavior.
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