Penn Computerized Neurocognitive Battery (Penn CNB)
The Penn Computerized Neurocognitive Battery (Penn CNB) is a Dutch translation of the web-based computerized neurocognitive battery developed by the Brain Behavior Laboratory of the University of Pennsylvania (https://penncnp.med.upenn.edu/). It includes a total of 17 tests, resulting in measures of performance accuracy (the percentage or number of correct responses) and reaction time in 5 overall cognitive domains. These domains, their corresponding test and which cognitive skill they specifically measure are: 1) executive-control [Continuous Performance Test (measures attention), Letter N-Back Test (measures working memory), and Conditional Exclusion Test (measures abstraction and mental flexibility)]; 2) episodic memory [Face Memory Test (measures face memory), Word Memory Test (measures verbal memory), and Visual Object Learning Test (measures spatial memory)]; 3) complex cognition [Matrix Reasoning Test (measures nonverbal reasoning), Verbal Reasoning Test (measures language reasoning), and Line Orientation Test (measures spatial ability)]; 4) social cognition [Emotion Identification Test (measures emotion identification), Emotion Differentiation Test (measures emotion differentiation), and Age Differentiation Test (measures age differentiation)]; and 5) sensorimotor speed [Motor Praxis Task (measures sensorimotor speed), and Finger Tapping Test (measures motor speed)].
In YOUth, the Emotion Recognition test, the Motor Praxis test (Mouse Practice task), and the Word Memory task (including Delay) were used. In the Mouse Practice task, children click as quickly as possible on a green square that disappears after the click, and that reappears smaller each time as the task progresses. In the Word Memory task, children are asked to remember words that are displayed one by one, and afterwards indicate which of the words shown on the screen they saw before. Delayed verbal memory is assessed 20 minutes later by asking the children to respond to a new mix of target words and distractors. The Emotion Recognition task consists of 40 items in which faces are presented one by one, each having a neutral or emotional (happy, sad, angry, fearful) expression. Children are asked to choose which emotion is expressed. Data were collected up until December 2020.
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8.0 - 10.0 years From 2016-03-14 to 2020-04-14 11.0 - 16.0 years From 2019-07-04 to 2022-12-01 |
Mode of collection | MeasurementsAndTests Behavioral/cognitive task |
Analysis unit | Individual |
Instrument name | Penn Computerized Neurocognitive Battery (Penn CNB) |
Alternate name | Penn Emotion Recognition Test, Penn Motor Praxis Test, Penn Word Memory Test, Penn Word Memory Test Delay |
Measure name | Penn Computerized Neurocognitive Battery (Penn CNB) |
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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 Child & Adolescent cohort includes 1338 children aged 8, 9 or 10 and their parents through primary schools and events. For a subset of these children, data from a second measurement wave (Around 12 years old) is available. |
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 8 to 16 from the Utrecht region |
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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 9y wave in the YOUth Child & Adolescent Cohort consisted of questionnaires, biological samples (blood, buccal, saliva, hair), eyetracking, Magnetic Resonance Imaging (MRI), tasks, and parent-child interaction measured among children aged 8-10 years old and their parents, and a teacher-report questionnaire. |
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(sub) cohort | YOUth: Child and Adolescent |
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Start date wave collection | 2016-03-14 |
End date wave collection | 2020-04-14 |
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Description of physical data product | Digital files, biomedical samples |
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Short description of the wave | The 12y wave in the YOUth Child & Adolescent Cohort consisted of questionnaires, biological samples (blood, buccal, saliva, hair), eyetracking, Magnetic Resonance Imaging (MRI), tasks, and parent-child interaction measured among children aged 11-16 years old, and questionnaires filled out by their parents. Originally, the 12y wave was intended to measure 11-13 year old children, but due to the Covid-19 pandemic and other factors, the 12y and the 15y waves had to merged. |
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(sub) cohort | YOUth: Child and Adolescent |
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Start date wave collection | 2019-07-04 |
End date wave collection | 2022-12-01 |
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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_additional_info | In YOUth, the Emotion Recognition test, the Motor Praxis test (Mouse Practice task), and the Word Memory task (including Delay) were used. In the Mouse Practice task, children click as quickly as possible on a green square that disappears after the click, and that reappears smaller each time as the task progresses. In the Word Memory task, children are asked to remember words that are displayed one by one, and afterwards indicate which of the words shown on the screen they saw before. Delayed verbal memory is assessed 20 minutes later by asking the children to respond to a new mix of target words and distractors. The Emotion Recognition task consists of 40 items in which faces are presented one by one, each having a neutral or emotional (happy, sad, angry, fearful) expression. Children are asked to choose which emotion is expressed. Data were collected up until December 2020. |
dc_alternate_name | Penn Emotion Recognition Test, Penn Motor Praxis Test, Penn Word Memory Test, Penn Word Memory Test Delay |
dc_analysis_unit | {Individual} |
dc_cohort | YOUth |
dc_common_id | 0121_CD2 |
dc_instrument_name | Penn Computerized Neurocognitive Battery (Penn CNB) |
dc_measure_name | Penn Computerized Neurocognitive Battery (Penn CNB) |
id | 1f133128-6b43-40cf-a212-65364d877a44 |
isopen | False |
license_title | None |
maintainer | None |
maintainer_email | None |
metadata_created | 2024-10-17T11:46:03.284649 |
metadata_modified | 2024-10-20T12:25:39.209919 |
name | 40e8e4b956a6ece044be1367972d9759 |
notes | The Penn Computerized Neurocognitive Battery (Penn CNB) is a Dutch translation of the web-based computerized neurocognitive battery developed by the Brain Behavior Laboratory of the University of Pennsylvania (https://penncnp.med.upenn.edu/). It includes a total of 17 tests, resulting in measures of performance accuracy (the percentage or number of correct responses) and reaction time in 5 overall cognitive domains. These domains, their corresponding test and which cognitive skill they specifically measure are: 1) executive-control [Continuous Performance Test (measures attention), Letter N-Back Test (measures working memory), and Conditional Exclusion Test (measures abstraction and mental flexibility)]; 2) episodic memory [Face Memory Test (measures face memory), Word Memory Test (measures verbal memory), and Visual Object Learning Test (measures spatial memory)]; 3) complex cognition [Matrix Reasoning Test (measures nonverbal reasoning), Verbal Reasoning Test (measures language reasoning), and Line Orientation Test (measures spatial ability)]; 4) social cognition [Emotion Identification Test (measures emotion identification), Emotion Differentiation Test (measures emotion differentiation), and Age Differentiation Test (measures age differentiation)]; and 5) sensorimotor speed [Motor Praxis Task (measures sensorimotor speed), and Finger Tapping Test (measures motor speed)]. |
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 | Penn Computerized Neurocognitive Battery (Penn CNB) |
type | measure |
cohort | [{'cohort_alternate_title': ['YOUth Child and Adolescent', 'Child & Adolescent', 'YOUth kind en tiener'], 'cohort_description': 'The YOUth Child & Adolescent\xa0cohort includes 1338 children aged 8, 9 or 10\xa0and their parents through primary schools and events. For a subset of these children, data from a second measurement wave (Around 12 years old) is available.', '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_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'}, {'cohort_reference_citation': 'Buimer, E. E., Pas, P., Brouwer, R. M., Froeling, M., Hoogduin, H., Leemans, A., ... & Mandl, R. C. (2020). The YOUth cohort study: MRI protocol and test-retest reliability in adults. Developmental cognitive neuroscience, 45, 100816. https://doi.org/10.1016/j.dcn.2020.100816', 'cohort_reference_identifier': 'https://doi.org/10.1016/j.dcn.2020.100816', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}]}] |
dc_DOI | [{'dc_identifier_type': 'DOI', 'dc_pid': '10.60641/9m76-zw18'}] |
dc_constructs | [{'dc_construct': 'cognition'}] |
dc_labels | [{'dc_label': 'emotion recognition'}, {'dc_label': 'affective processing'}, {'dc_label': 'emotion processing'}, {'dc_label': 'face processing'}, {'dc_label': 'motor praxis'}, {'dc_label': 'sensorimotor ability'}, {'dc_label': 'recall'}, {'dc_label': 'verbal memory'}, {'dc_label': 'attention'}, {'dc_label': 'executive functioning'}, {'dc_label': 'inhibitory control'}, {'dc_label': 'cognitive control'}, {'dc_label': 'working memory'}, {'dc_label': 'mental flexibility'}, {'dc_label': 'episodic memory'}, {'dc_label': 'spatial memory'}, {'dc_label': 'face memory'}, {'dc_label': 'nonverbal reasoning'}, {'dc_label': 'spatial ability'}] |
dc_measurement_references | [{'dc_measurements_references_citation': 'Swagerman, S. C., de Geus, E. J. C., Kan, K.-J., van Bergen, E., Nieuwboer, H. A., Koenis, M. M. G., Hulshoff Pol, H. E., Gur, R. E., Gur, R. C., & Boomsma, D. I. (2016). The Computerized Neurocognitive Battery: Validation, aging effects, and heritability across cognitive domains. Neuropsychology, 30(1), 53–64. https://doi.org/10.1037/neu0000248\n', 'dc_measurements_references_doi': 'https://doi.org/10.1037/neu0000248'}, {'dc_measurements_references_citation': 'Gur, R. C., Richard, J., Hughett, P., Calkins, M. E., Macy, L., Bilker, W. B., Brensinger, C., & Gur, R. E. (2010). A cognitive neuroscience-based computerized battery for efficient measurement of individual differences: Standardization and initial construct validation. Journal of Neuroscience Methods, 187(2), 254–262. https://doi.org/10.1016/j.jneumeth.2009.11.017\n', 'dc_measurements_references_doi': 'https://doi.org/10.1016/j.jneumeth.2009.11.017'}, {'dc_measurements_references_citation': 'Gur, R. C., Richard, J., Calkins, M. E., Chiavacci, R., Hansen, J. A., Bilker, W. B., Loughead, J., Connolly, J. J., Qiu, H., Mentch, F. D., Abou-Sleiman, P. M., Hakonarson, H., & Gur, R. E. (2012). Age group and sex differences in performance on a computerized neurocognitive battery in children age 8−21. Neuropsychology, 26(2), 251–265. https://doi.org/10.1037/a0026712\n', 'dc_measurements_references_doi': 'https://doi.org/10.1037/a0026712'}] |
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': 96}, {'measure_age_month': 97}, {'measure_age_month': 98}, {'measure_age_month': 99}, {'measure_age_month': 100}, {'measure_age_month': 101}, {'measure_age_month': 102}, {'measure_age_month': 103}, {'measure_age_month': 104}, {'measure_age_month': 105}, {'measure_age_month': 106}, {'measure_age_month': 107}, {'measure_age_month': 108}, {'measure_age_month': 109}, {'measure_age_month': 110}, {'measure_age_month': 111}, {'measure_age_month': 112}, {'measure_age_month': 113}, {'measure_age_month': 114}, {'measure_age_month': 115}, {'measure_age_month': 116}, {'measure_age_month': 117}, {'measure_age_month': 118}, {'measure_age_month': 119}, {'measure_age_month': 120}, {'measure_age_month': 132}, {'measure_age_month': 133}, {'measure_age_month': 134}, {'measure_age_month': 135}, {'measure_age_month': 136}, {'measure_age_month': 137}, {'measure_age_month': 138}, {'measure_age_month': 139}, {'measure_age_month': 140}, {'measure_age_month': 141}, {'measure_age_month': 142}, {'measure_age_month': 143}, {'measure_age_month': 144}, {'measure_age_month': 145}, {'measure_age_month': 146}, {'measure_age_month': 147}, {'measure_age_month': 148}, {'measure_age_month': 149}, {'measure_age_month': 150}, {'measure_age_month': 151}, {'measure_age_month': 152}, {'measure_age_month': 153}, {'measure_age_month': 154}, {'measure_age_month': 155}, {'measure_age_month': 156}, {'measure_age_month': 157}, {'measure_age_month': 158}, {'measure_age_month': 159}, {'measure_age_month': 160}, {'measure_age_month': 161}, {'measure_age_month': 162}, {'measure_age_month': 163}, {'measure_age_month': 164}, {'measure_age_month': 165}, {'measure_age_month': 166}, {'measure_age_month': 167}, {'measure_age_month': 168}, {'measure_age_month': 169}, {'measure_age_month': 170}, {'measure_age_month': 171}, {'measure_age_month': 172}, {'measure_age_month': 173}, {'measure_age_month': 174}, {'measure_age_month': 175}, {'measure_age_month': 176}, {'measure_age_month': 177}, {'measure_age_month': 178}, {'measure_age_month': 179}, {'measure_age_month': 180}, {'measure_age_month': 181}, {'measure_age_month': 182}, {'measure_age_month': 183}, {'measure_age_month': 184}, {'measure_age_month': 185}, {'measure_age_month': 186}, {'measure_age_month': 187}, {'measure_age_month': 188}, {'measure_age_month': 189}, {'measure_age_month': 190}, {'measure_age_month': 191}, {'measure_age_month': 192}] |
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', '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': 'Hulshoff Pol, Hilleke', 'study_contributor_pid': '0000-0002-2038-5281'}, {'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': 'Bos, Dienke', 'study_contributor_pid': '0000-0002-0427-4573'}, {'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': 'Veldkamp, Coosje', 'study_contributor_pid': '0000-0003-3596-5980'}, {'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': 'Pas, Pascal', 'study_contributor_pid': '0000-0002-2200-7591'}, {'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': '', 'study_contributor_identifier_type': '', 'study_contributor_name': 'van Wielink, Lilli', 'study_contributor_pid': ''}, {'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': '', 'study_contributor_identifier_type': '', 'study_contributor_name': 'Witsenboer, Marije', 'study_contributor_pid': ''}, {'study_contributor_affiliation': 'University Medical Center Utrecht', 'study_contributor_affiliation_identifier': 'https://ror.org/0575yy874', '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': 'Bekker, Mireille', 'study_contributor_pid': '0000-0002-7372-4291'}, {'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': 'van den Boomen, Carlijn', 'study_contributor_pid': '0000-0002-0110-9919'}, {'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': 'Gehring, Ulrike', 'study_contributor_pid': '0000-0003-3612-5780'}, {'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': 'Hessels, Roy', 'study_contributor_pid': '0000-0002-4907-1067'}, {'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': 'Huijding, Jorg', 'study_contributor_pid': '0000-0002-9320-9959'}, {'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': 'Junge, Caroline', 'study_contributor_pid': '0000-0001-9876-8058'}, {'study_contributor_affiliation': 'University Medical Center Utrecht', 'study_contributor_affiliation_identifier': 'https://ror.org/0575yy874', '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': 'Leemans, Alexander', 'study_contributor_pid': '0000-0002-9306-6126'}, {'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': 'Peeters, Margot', 'study_contributor_pid': '0000-0001-8861-5744'}, {'study_contributor_affiliation': 'University Medical Center Utrecht', 'study_contributor_affiliation_identifier': 'https://ror.org/0575yy874', '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': 'Raemaekers, Mathijs', 'study_contributor_pid': '0000-0002-3175-3756'}, {'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': 'Schnack, Hugo', 'study_contributor_pid': '0000-0002-4620-3853'}, {'study_contributor_affiliation': 'University Medical Center Utrecht', 'study_contributor_affiliation_identifier': 'https://ror.org/0575yy874', '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': 'de Zwarte, Sonja', 'study_contributor_pid': '0000-0001-9015-3550'}], 'study_data_access': [{'study_data_access_URL': 'https://www.uu.nl/en/research/youth-cohort-study/data-access', 'study_data_access_description': 'YOUth encourages and facilitates extensive and appropriate use of its data by bona fide research organizations and bona fide researchers. To request access, please make use of our online data request system. '}], 'study_funding': [{'study_funder': 'Dutch Research Council', 'study_funder_award_title': 'Gravitation program', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '024.001.003'}], 'study_principal_investigators': [{'study_pi_affiliation': 'Utrecht University', 'study_pi_affiliation_identifier': 'https://ror.org/04pp8hn57', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'Kemner, Chantal', 'study_pi_pid': '0000-0002-8879-2588'}], 'study_publisher': [{'study_publisher_identifier': 'https://ror.org/04pp8hn57', 'study_publisher_identifier_schemeuri': 'https://ror.org/', 'study_publisher_identifier_type': 'ROR', 'study_publisher_name': 'Utrecht University'}, {'study_publisher_identifier': 'https://ror.org/0575yy874', 'study_publisher_identifier_schemeuri': 'https://ror.org/', 'study_publisher_identifier_type': 'ROR', 'study_publisher_name': 'University Medical Center Utrecht'}], 'study_references': [{'study_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', 'study_reference_identifier': 'https://doi.org/10.1016/j.dcn.2020.100868', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Buimer, E. E., Pas, P., Brouwer, R. M., Froeling, M., Hoogduin, H., Leemans, A., ... & Mandl, R. C. (2020). The YOUth cohort study: MRI protocol and test-retest reliability in adults. Developmental cognitive neuroscience, 45, 100816. https://doi.org/10.1016/j.dcn.2020.100816', 'study_reference_identifier': 'https://doi.org/10.1016/j.dcn.2020.100816', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}]}] |
wave | [{'wave_alternate_title': ['9y', 'Rondom 9'], 'wave_cohort': 'YOUth: Child and Adolescent', 'wave_cohort_ckan_id': '47dc569cb2c2cf710f42d26898afdbc8', 'wave_description': 'The 9y wave in the YOUth Child & Adolescent Cohort consisted of questionnaires, biological samples (blood, buccal, saliva, hair), eyetracking, Magnetic Resonance Imaging (MRI), tasks, and parent-child interaction measured among children aged 8-10 years old and their parents, and a teacher-report questionnaire.', 'wave_end_date_collection': '2020-04-14', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Digital files, biomedical samples', 'wave_start_date_collection': '2016-03-14', 'wave_title': '9 years', 'wave_universe': '96-120', 'wave_contributor': [{'wave_contributor_affiliation': 'Utrecht University', 'wave_contributor_affiliation_identifier': 'https://ror.org/04pp8hn57', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 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'wave_subject_codes': [{'wave_subject_code': 'C', 'wave_subject_code_translated': 'Child'}]}, {'wave_alternate_title': ['12y', 'Rondom 12'], 'wave_cohort': 'YOUth: Child and Adolescent', 'wave_cohort_ckan_id': '47dc569cb2c2cf710f42d26898afdbc8', 'wave_description': 'The 12y wave in the YOUth Child & Adolescent Cohort consisted of questionnaires, biological samples (blood, buccal, saliva, hair), eyetracking, Magnetic Resonance Imaging (MRI), tasks, and parent-child interaction measured among children aged 11-16 years old, and questionnaires filled out by their parents. 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resources | [] |
tags | [] |
groups | [] |
relationships_as_subject | [] |
relationships_as_object | [] |
tracking_summary | {'total': 0, 'recent': 0} |