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Набор по приглашению NCT06852521

Probing the Role of Feature Dimension Maps in Visual Cognition: Manipulations of Relevant Locations on Salience Processing? (Expt 3.1 Pilot)

Без фазы С лечением Basic Science: Visual Attention in Healthy Participants Attention

Ориентир для пациента и семьи

Простыми словами

Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.

Что изучают
В протоколе указаны: Stimulus Properties: Target Location, Stimulus Properties: Distractor Presence, Stimulus properties: Cue Validity.
Кому может быть актуально
Состояния в реестре: Basic Science: Visual Attention in Healthy Participants, Attention. Базовые параметры: 18 лет — 55 лет · Все.
Что важно проверить
Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится
США
Следующий шаг
Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →
Официальное название

Probing the Role of Feature Dimension Maps in Visual Cognition: Expt 3.1 (Pilot)

Обзор

How do we know what's important to look at in the environment? Sometimes, we need to look at objects because they are 'salient' (for example, bright flashing lights of a police car, or the stripes of a venomous animal), while other times, we need to ignore irrelevant salient locations and focus only on locations we know to be 'relevant'. These behaviors are often explained by the use of 'priority maps' which index the relative importance of different locations in the visual environment based on both their salience and relevance. In this research, we aim to understand how these factors interact when determining what's important to look at. Specifically, we are evaluating the extent to which the visual system considers locations that are known to be irrelevant when considering the salience of objects. We're testing the hypothesis that the visual system always computes maps of salient locations within 'feature maps', but that activity from these maps is not read out to guide behavior for task-irrelevant locations. We'll have people look at displays containing colored shapes and/or moving dots and report aspects of the visual stimulus (e.g., orientation of a line within a particular stimulus). We'll measure response times across conditions in which we manipulate the presence/absence of salient distracting stimuli and provide various kinds of cues about the potential relevance of different locations on the screen. The rationale is that by measuring changes in visual search behavior (and thus inferring computations performed on brain representations), we will determine how these aspects of simplified visual environments impact the brain's representation of important object locations. This will support future studies using brain imaging techniques aimed at identifying the neural mechanisms supporting the extraction of salient and relevant locations from visual scenes, which can inform future diagnosis/treatment of disorders which can impact our ability to perform visual search (e.g., schizophrenia, Alzheimer's disease).

Вмешательства

  • Другое Stimulus Properties: Target Location
    The location of the target item in the display will be varied across trials (appear left, right, up, or down)
  • Другое Stimulus Properties: Distractor Presence
    A proportion of all trials will contain a task-irrelevant, singleton distractor defined in a non-target dimension (e.g., color target and motion distractor)
  • Другое Stimulus properties: Cue Validity
    Varied across trials, the validity of the cue will be determined by the match or mismatch between direction of the visual cue (an arrowhead around the fixation pointing to the right, left, up, or down) and actual target location

Первичные конечные точки

  • Behavioral response (button press) [Срок оценки: Through study completion, an average of two weeks]
  • Gaze position [Срок оценки: Through study completion, an average of two weeks]

Критерии участия

Критерии включения

  • between 18 and 55 years of age
  • normal or corrected-to-normal vision

Критерии исключения

  • N/A

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Да

Дизайн исследования

Распределение
Не применимо
Модель
Одна группа
Маскирование
Открытое
Основная цель
Фундаментальное исследование

Центры проведения

США · 1 центр
  • University of California, Santa Barbara — Santa Barbara

Публикации

  • Mackey WE, Winawer J, Curtis CE. Visual field map clusters in human frontoparietal cortex. Elife. 2017 Jun 19;6:e22974. doi: 10.7554/eLife.22974. PMID 28628004
  • Hallenbeck GE, Sprague TC, Rahmati M, Sreenivasan KK, Curtis CE. Working memory representations in visual cortex mediate distraction effects. Nat Commun. 2021 Aug 5;12(1):4714. doi: 10.1038/s41467-021-24973-1. PMID 34354071
  • Sprague TC, Itthipuripat S, Vo VA, Serences JT. Dissociable signatures of visual salience and behavioral relevance across attentional priority maps in human cortex. J Neurophysiol. 2018 Jun 1;119(6):2153-2165. doi: 10.1152/jn.00059.2018. Epub 2018 Feb 28. PMID 29488841
  • Sprague TC, Adam KCS, Foster JJ, Rahmati M, Sutterer DW, Vo VA. Inverted Encoding Models Assay Population-Level Stimulus Representations, Not Single-Unit Neural Tuning. eNeuro. 2018 Jun 5;5(3):ENEURO.0098-18.2018. doi: 10.1523/ENEURO.0098-18.2018. eCollection 2018 May-Jun. No abstract available. PMID 29876523
  • Sprague TC, Boynton GM, Serences JT. The Importance of Considering Model Choices When Interpreting Results in Computational Neuroimaging. eNeuro. 2019 Dec 20;6(6):ENEURO.0196-19.2019. doi: 10.1523/ENEURO.0196-19.2019. Print 2019 Nov/Dec. PMID 31772033
  • Laumann TO, Gordon EM, Adeyemo B, Snyder AZ, Joo SJ, Chen MY, Gilmore AW, McDermott KB, Nelson SM, Dosenbach NU, Schlaggar BL, Mumford JA, Poldrack RA, Petersen SE. Functional System and Areal Organization of a Highly Sampled Individual Human Brain. Neuron. 2015 Aug 5;87(3):657-70. doi: 10.1016/j.neuron.2015.06.037. Epub 2015 Jul 23. PMID 26212711
  • Allen EJ, St-Yves G, Wu Y, Breedlove JL, Prince JS, Dowdle LT, Nau M, Caron B, Pestilli F, Charest I, Hutchinson JB, Naselaris T, Kay K. A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence. Nat Neurosci. 2022 Jan;25(1):116-126. doi: 10.1038/s41593-021-00962-x. Epub 2021 Dec 16. PMID 34916659
  • Fedorenko E. The early origins and the growing popularity of the individualsubject analytic approach in human neuroscience. Current Opinion in Behavioral Sciences. 2021; 40:105-112.

Идентификаторы

NCT: NCT06852521 · 10-25-0048: 3.1 (Pilot) · R01EY035300

Первоисточники (государственные реестры)

Открыть это исследование на ClinicalTrials.gov ↗