Probing the Role of Feature Dimension Maps in Visual Cognition: Impact of Salience Level (Eye-tracking Follow-up Study)
NCT ID: NCT06852534
Last Updated: 2025-05-23
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
NA
20 participants
INTERVENTIONAL
2024-11-22
2025-04-02
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
The goal of this study is to determine how brain regions that respond strongly to different feature types (color and motion) and which encode spatial locations of visual stimuli extract 'feature dimension maps' based on stimulus properties, including feature contrast. The investigators hypothesize that feature-selective brain regions act as neural feature dimension maps, and thus encode representations of salient location(s) based on their preferred feature dimension. The investigators will collect eye-tracking data while participants view visual stimuli made salient based on different combinations of feature dimensions. From the eye-tracking data, the investigators will construct fixation heat maps on the feature dimensions for all levels of salience, allowing them to connect behavioral data to the latter fMRI dataset. Each participant will freely view the stimuli as they appear on the computer display. Across trials, the investigators will manipulate 1) the 'strength' of the salient locations based on how different the salient stimulus is compared to the background, 2) the number of salient locations, and 3) the feature value(s) used to make each location salient. Altogether, these manipulations will help the investigators fully understand these critical salience computations in the healthy human visual system.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Probing the Role of Feature Dimension Maps in Visual Cognition: Manipulations of Relevant Locations on Salience Processing? (Expt 3.1 Pilot)
NCT06852521
Probing the Role of Feature Dimension Maps in Visual Cognition: Impact of Task Demands (Expt 2.1)
NCT06281457
Eye Movements and Visuo-spatial Perception
NCT03112408
Motivation Effects During Cued Visual Search
NCT05604053
Improving Visual Perception and Visuo-motor Learning With Neurofeedback of Brain Network Interaction.
NCT05732649
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
NA
SINGLE_GROUP
BASIC_SCIENCE
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Manipulations of graded feature salience (Expt 1.1)
Participants will view stimuli made salient based on feature contrast in one feature dimensions (color or motion direction; or checkerboard luminance contrast). The degree to which a location is salient will be manipulated based on the feature contrast across multiple values
Stimulus properties: salience-defining feature
The feature used to define a salient location will be varied across trials (checkerboard contrast; motion direction; color hue)
Stimulus properties: magnitude of salience
The magnitude of the salient location will be varied across trials independently from salience-defining feature (based on feature contrast)
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Stimulus properties: salience-defining feature
The feature used to define a salient location will be varied across trials (checkerboard contrast; motion direction; color hue)
Stimulus properties: magnitude of salience
The magnitude of the salient location will be varied across trials independently from salience-defining feature (based on feature contrast)
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* normal or corrected-to-normal vision
Exclusion Criteria
18 Years
55 Years
ALL
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
National Eye Institute (NEI)
NIH
University of California, Santa Barbara
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Tommy Sprague
Role: PRINCIPAL_INVESTIGATOR
University of California, Santa Barbara
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
University of California, Santa Barbara
Santa Barbara, California, United States
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
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.
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.
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.
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.
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.
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.
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.
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.
Naselaris T, Allen E, Kay K. Extensive sampling for complete models of individual brains. Current Opinion in Behavioral Sciences. 2021; 40:45-51.
Poldrack RA. Diving into the deep end: a personal reflection on the MyConnectome study. Current Opinion in Behavioral Sciences. 2021; 40:1-4.
Pritschet L, Taylor CM, Santander T, Jacobs EG. Applying dense-sampling methods to reveal dynamic endocrine modulation of the nervous system. Curr Opin Behav Sci. 2021 Aug;40:72-78. doi: 10.1016/j.cobeha.2021.01.012. Epub 2021 Feb 25.
Gratton C, Nelson SM, Gordon EM. Brain-behavior correlations: Two paths toward reliability. Neuron. 2022 May 4;110(9):1446-1449. doi: 10.1016/j.neuron.2022.04.018.
Smith PL, Little DR. Small is beautiful: In defense of the small-N design. Psychon Bull Rev. 2018 Dec;25(6):2083-2101. doi: 10.3758/s13423-018-1451-8.
Sprague TC, Serences JT. Attention modulates spatial priority maps in the human occipital, parietal and frontal cortices. Nat Neurosci. 2013 Dec;16(12):1879-87. doi: 10.1038/nn.3574. Epub 2013 Nov 10.
Itthipuripat S, Vo VA, Sprague TC, Serences JT. Value-driven attentional capture enhances distractor representations in early visual cortex. PLoS Biol. 2019 Aug 9;17(8):e3000186. doi: 10.1371/journal.pbio.3000186. eCollection 2019 Aug.
Poltoratski S, Tong F. Resolving the Spatial Profile of Figure Enhancement in Human V1 through Population Receptive Field Modeling. J Neurosci. 2020 Apr 15;40(16):3292-3303. doi: 10.1523/JNEUROSCI.2377-19.2020. Epub 2020 Mar 5.
Poltoratski S, Ling S, McCormack D, Tong F. Characterizing the effects of feature salience and top-down attention in the early visual system. J Neurophysiol. 2017 Jul 1;118(1):564-573. doi: 10.1152/jn.00924.2016. Epub 2017 Apr 5.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
5-24-0700: Expt 1.1 Behavioral
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.