Infant Stop Signal Anticipation Task
The Stop Signal Anticipation task is adopted from Zandbelt and Vink (Vink et al., 2014, Zandbelt et al., 2008) and is also used as MRI task in the YOUth Child and Adolescent cohort. The Stop Signal Anticipation task measures response inhibition, which is considered an important aspect of behavioral control. In the task, children are instructed to stop a moving bar (a "frog's tongue") at a specific location (go trials) by pressing the space bar. In some trials, the bar stops moving (stop signal) and participants need to inhibit their stopping response. A cue at the beginning of the trial indicates the probability that the bar will stop (a yellow frog meaning the probably of stopping is low, a purple frog if it is high). The onset of the stop signal varies from one trial to the next according to a staircase procedure that is dependent on the participant’s response time (Zandbelt et al., 2008). The children are trained prior to the task to ensure that they understand the instructions. The training takes approximately 5 minutes, task duration is 10 minutes.
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5.0 - 7.0 years From 2022-07-01 to 2023-11-01 |
Mode of collection | MeasurementsAndTests Behavioral/cognitive task |
Analysis unit | Individual |
Instrument name | Infant Stop Signal Anticipation Test |
Measure name | Infant Stop Signal Anticipation Test |
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Measure was collected within the following cohort study:
Purpose | To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. Specifically, we investigate how these determinants influence the development of social competence and behavioral control, and how this relationship is mediated by the developing brain. |
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Time method | Longitudinal |
Universe | YOUth stands for Youth Of Utrecht, as we aim to include a population-based sample from Utrecht and its surrounding areas in the Netherlands. The region from which the participants are recruited is a densely populated region that combines both urban and rural areas, and covers the province of Utrecht and a few cities on the borders of this province. The catchment area of YOUth represents approximately 7.6 % of the Dutch population of currently over 17 million inhabitants in the country. Approximately 16 % of the inhabitants of the province of Utrecht are 0–10 years old. Compared to the rest of the Netherlands, inhabitants of the province of Utrecht are relatively highly educated; In 2015 approximately 38 % of the population was highly educated compared to 28 % in the rest of the country. |
Measure was collected within the following cohort(s):
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Description | The YOUth Baby & Child cohort includes 3000 pregnant women at 20 weeks of pregnancy, and their partners. The children that were born from these pregnancies visit our Child Research Center at several moments during their lives and are followed for at least 6 years. |
Purpose | To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. Specifically, we investigate how these determinants influence the development of social competence and behavioral control and how this relationship is mediated by the developing brain. |
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Country code | NL |
Geographic location | Utrecht region |
Lowest geographic reference | postal code |
Highest geographic reference | country |
Cohort universe description | Children aged 0-6 from the Utrecht region |
Analysis unit | |
Additional info (URL) | https://doi.org/10.24416/UU01-729A2Y |
Additional information | Dummy data for all YOUth data are publicly available via Yoda. |
Time method | Longitudinal.CohortEventBased |
Measure was collected within the following wave(s):
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Short description of the wave | The 6y wave in the YOUth Baby & Child Cohort consisted of tasks, electroencephalograpy (EEG), eyetracking, and biological measurements, and parent-child interaction among children aged 5-7 years old and questionnaires filled out by their parents. |
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(sub) cohort | YOUth: Baby and Child |
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Start date wave collection | 2022-07-01 |
End date wave collection | 2023-11-01 |
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Description of physical data product | Digital files, biomedical samples |
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author | None |
author_email | None |
creator_user_id | 34768773-4537-4d74-8d9d-11e2b32cbbaf |
dc_analysis_unit | {Individual} |
dc_cohort | YOUth |
dc_instrument_name | Infant Stop Signal Anticipation Test |
dc_measure_name | Infant Stop Signal Anticipation Test |
id | 9cfd2f95-3ce0-481b-bad9-a570c6c916e0 |
isopen | False |
license_title | None |
maintainer | None |
maintainer_email | None |
metadata_created | 2024-10-17T11:44:42.394426 |
metadata_modified | 2024-10-20T12:24:36.284584 |
name | dc8e849e3a9d25e17c3b89c17aceb6a1 |
notes | The Stop Signal Anticipation task is adopted from Zandbelt and Vink (Vink et al., 2014, Zandbelt et al., 2008) and is also used as MRI task in the YOUth Child and Adolescent cohort. The Stop Signal Anticipation task measures response inhibition, which is considered an important aspect of behavioral control. In the task, children are instructed to stop a moving bar (a "frog's tongue") at a specific location (go trials) by pressing the space bar. In some trials, the bar stops moving (stop signal) and participants need to inhibit their stopping response. A cue at the beginning of the trial indicates the probability that the bar will stop (a yellow frog meaning the probably of stopping is low, a purple frog if it is high). The onset of the stop signal varies from one trial to the next according to a staircase procedure that is dependent on the participant’s response time (Zandbelt et al., 2008). The children are trained prior to the task to ensure that they understand the instructions. The training takes approximately 5 minutes, task duration is 10 minutes. |
num_resources | 0 |
num_tags | 0 |
organization | {'id': 'c64f3b11-639d-4246-ac50-2e6d78c8d155', 'name': 'youth', 'title': 'YOUth', 'type': 'organization', 'description': "YOUth is a large-scale longitudinal cohort study following children from the city of Utrecht and its surrounding areas in their development from pregnancy until early adulthood. The YOUth cohort focuses on neurocognitive development involved in two core characteristics of behavioral development: social competence and behavioral control. YOUth includes children from the general population to cover the whole range of variation in behavioral development, ranging from uncomplicated development, through problem behavior, to psychiatric disorders. To understand why some children develop problematic behavior, and others show resilience, YOUth measures a broad range of biological, child-related and environmental determinants.YOUth conducts repeated measurements at regular intervals (i.e. 'waves'). Specifically, the study has two inclusion moments: YOUth Baby & Child and YOUth Child & Adolescent. YOUth applies a flexible longitudinal design to the cohorts, meaning that children are measured at broader age ranges (3-year age ranges) at each wave. The main benefit of the flexible age design is that it provides more detailed information on the neurodevelopmental curves over time.An extensive data set is generated, including 3D-ultrasound sweeps of the fetal brain, eye tracking, EEG, (f)MRI, computer tasks, cognitive measurements and parent-child observations. We also collect a broad range of questionnaires on behavior, personality, health, lifestyle, parenting, child development, use of (social) media and more. Finally, (umbilical) blood samples, buccal swabs, saliva and hair samples are collected at each visit, and stored in the UMC Utrecht Biobank.", 'image_url': 'https://data.individualdevelopment.nl/img/logo_youth.png', 'created': '2024-10-17T13:42:26.820616', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'} |
owner_org | c64f3b11-639d-4246-ac50-2e6d78c8d155 |
private | False |
state | active |
title | Infant Stop Signal Anticipation Task |
type | measure |
cohort | [{'cohort_alternate_title': ['YOUth Baby and Child', 'Baby & Child', 'YOUth baby en kind'], 'cohort_description': 'The YOUth Baby & Child cohort includes 3000 pregnant women at 20 weeks of pregnancy, and their partners. The children that were born from these pregnancies visit our Child Research Center at several moments during their lives and are followed for at least 6 years.', 'cohort_info_description': 'Dummy data for all YOUth data are publicly available via Yoda.', 'cohort_info_url': 'https://doi.org/10.24416/UU01-729A2Y', 'cohort_language': 'NL', 'cohort_purpose': 'To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. 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'cohort_contributor_identifier_type': 'ORCID', 'cohort_contributor_pid': '0000-0001-9015-3550'}], 'cohort_creator': [{'cohort_creator_affiliation': 'Utrecht University', 'cohort_creator_affiliation_identifier': 'https://ror.org/04pp8hn57', 'cohort_creator_affiliation_identifier_scheme': 'ROR', 'cohort_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_creator_identifier_schemeuri': 'https://orcid.org/', 'cohort_creator_identifier_type': 'ORCID', 'cohort_creator_name': 'Kemner, Chantal', 'cohort_creator_pid': '0000-0002-8879-2588'}], 'cohort_funding': [{'cohort_funder': 'Dutch Research Council', 'cohort_funder_award_title': 'Gravitation program', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '024.001.003'}], 'cohort_publisher': [{'cohort_publisher_identifier': 'https://ror.org/04pp8hn57', 'cohort_publisher_identifier_type': 'ROR', 'cohort_publisher_name': 'Utrecht University'}, {'cohort_publisher_identifier': 'https://ror.org/0575yy874', 'cohort_publisher_identifier_type': 'ROR', 'cohort_publisher_name': 'University Medical Center Utrecht'}], 'cohort_references': [{'cohort_reference_citation': 'Onland-Moret, N. C., Buizer-Voskamp, J. E., Albers, M. E., Brouwer, R. M., Buimer, E. E., Hessels, R. S., ... & Kemner, C. (2020). The YOUth study: Rationale, design, and study procedures. Developmental cognitive neuroscience, 46, 100868. https://doi.org/10.1016/j.dcn.2020.100868', 'cohort_reference_identifier': 'https://doi.org/10.1016/j.dcn.2020.100868', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}]}] |
dc_DOI | [{'dc_identifier_type': 'DOI', 'dc_pid': '10.60641/z89s-5r98'}] |
dc_constructs | [{'dc_construct': 'cognition'}, {'dc_construct': 'personality'}] |
dc_labels | [{'dc_label': 'behavioral control'}, {'dc_label': 'cognitive control'}, {'dc_label': 'effortful control'}, {'dc_label': 'inhibition'}, {'dc_label': 'inhibitory control'}, {'dc_label': 'impulsivity'}, {'dc_label': 'self regulation'}, {'dc_label': 'anticipation'}] |
dc_measurement_references | [{'dc_measurements_references_citation': 'Vink, M., Zandbelt, B. B., Gladwin, T., Hillegers, M., Hoogendam, J. M., van den Wildenberg, W. P. M., Du Plessis, S., & Kahn, R. S. (2014). Frontostriatal activity and connectivity increase during proactive inhibition across adolescence and early adulthood. Human Brain Mapping, 35(9), 4415–4427. Portico. https://doi.org/10.1002/hbm.22483\n', 'dc_measurements_references_doi': 'https://doi.org/10.1002/hbm.22483'}, {'dc_measurements_references_citation': 'Vink, M., Kaldewaij, R., Zandbelt, B. B., Pas, P., & du Plessis, S. (2015). The role of stop‐signal probability and expectation in proactive inhibition. European Journal of Neuroscience, 41(8), 1086–1094. Portico. https://doi.org/10.1111/ejn.12879\n', 'dc_measurements_references_doi': 'https://doi.org/10.1111/ejn.12879'}, {'dc_measurements_references_citation': 'Onland-Moret, N. C., Buizer-Voskamp, J. E., Albers, M. E. W. A., Brouwer, R. M., Buimer, E. E. L., Hessels, R. S., de Heus, R., Huijding, J., Junge, C. M. M., Mandl, R. C. W., Pas, P., Vink, M., van der Wal, J. J. M., Hulshoff Pol, H. E., & Kemner, C. (2020). The YOUth study: Rationale, design, and study procedures. Developmental Cognitive Neuroscience, 46, 100868. https://doi.org/10.1016/j.dcn.2020.100868\n', 'dc_measurements_references_doi': 'https://doi.org/10.1016/j.dcn.2020.100868'}] |
dc_modes_of_collection | [{'dc_mode_of_collection': 'MeasurementsAndTests'}] |
dc_modes_of_collection_sub | [{'dc_mode_of_collection_sub': 'Behavioral/cognitive task'}] |
measure_age_range | [{'measure_age_month': 60}, {'measure_age_month': 61}, {'measure_age_month': 62}, {'measure_age_month': 63}, {'measure_age_month': 64}, {'measure_age_month': 65}, {'measure_age_month': 66}, {'measure_age_month': 67}, {'measure_age_month': 68}, {'measure_age_month': 69}, {'measure_age_month': 70}, {'measure_age_month': 71}, {'measure_age_month': 72}, {'measure_age_month': 73}, {'measure_age_month': 74}, {'measure_age_month': 75}, {'measure_age_month': 76}, {'measure_age_month': 77}, {'measure_age_month': 78}, {'measure_age_month': 79}, {'measure_age_month': 80}, {'measure_age_month': 81}, {'measure_age_month': 82}, {'measure_age_month': 83}, {'measure_age_month': 84}] |
study | [{'study_alternate_title': ['YOUth', 'YOUth cohort', 'YOUth cohort study'], 'study_language': 'NL', 'study_purpose': 'To understand brain and behavioral development of children, we measure a broad range of biological, child-related and environmental determinants. Specifically, we investigate how these determinants influence the development of social competence and behavioral control, and how this relationship is mediated by the developing brain.', 'study_time_method': 'Longitudinal', 'study_universe': 'YOUth stands for Youth Of Utrecht, as we aim to include a population-based sample from Utrecht and its surrounding areas in the Netherlands. The region from which the participants are recruited is a densely populated region that combines both urban and rural areas, and covers the province of Utrecht and a few cities on the borders of this province. The catchment area of YOUth represents approximately 7.6 % of the Dutch population of currently over 17 million inhabitants in the country. Approximately 16 % of the inhabitants of the province of Utrecht are 0–10 years old. Compared to the rest of the Netherlands, inhabitants of the province of Utrecht are relatively highly educated; In 2015 approximately 38 % of the population was highly educated compared to 28 % in the rest of the country.', 'title': 'Youth of Utrecht', 'study_contact': [{'study_contact_affiliation': 'Utrecht University', 'study_contact_mail': 'datamanagement.fsw@uu.nl', 'study_contact_name': 'Datamanagement FSW'}], 'study_contributor': [{'study_contributor_affiliation': 'Utrecht University', 'study_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'study_contributor_affiliation_identifier_scheme': 'ROR', 'study_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_contributor_identifier_schemeuri': 'https://orcid.org/', 'study_contributor_identifier_type': 'ORCID', 'study_contributor_name': 'Scholten, Ron', 'study_contributor_pid': '0000-0002-4571-8855'}, {'study_contributor_affiliation': 'Utrecht University', 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groups | [] |
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