Stroop color-word task
The Stroop color-word task consists of pairs of conflicting word and color stimuli, both being inherent aspects of the same symbols, presented simultaneously, for example a name of one color printed in the ink of another color. The difference in time for reading the words printed in colors and the same words printed in black is the measure of the interference of color stimuli upon reading words.
In NTR projects YC_BS1, YC_BS2, YE_ATTEF2 and YE_COG18, the Stroop color-word task was measured with cards and in NTR project YC_ADHMRI, it was measured through a computerized task.
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9.0 years From 2005-01-01 to 2005-01-01 12.0 years From 2007-01-01 to 2009-01-01 12.0 years From 2002-01-01 to 2004-01-01 15.0 years From 2003-01-01 to 2007-01-01 18.0 years From 2004-01-01 to 2006-01-01 |
Mode of collection | MeasurementsAndTests Behavioral/cognitive task |
Analysis unit | Individual |
Alternate name | Stroop task |
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Measure was collected within the following cohort study:
Purpose | The research carried out by the Netherlands Twin Register focuses on the role of heritability in mental and physical health. For instance, the NTR investigates why some people become more easily depressed than others, or why certain people get diabetes while others do not. Other research areas include lifestyle and habits that influence health and disease, such as smoking, drinking and exercise. |
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Time method | Longitudinal |
Universe | The recruitment into the NTR is fully inclusive without any restrictions on enrolment. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR). |
Measure was collected within the following cohort(s):
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Description | The Young Netherlands Twin Register (YNTR) consists of projects within the Netherlands Twin Register (NTR) that involve families with twins or other multiples under the age of 18. |
Purpose | The purpose of the projects within the Young Netherlands Twin Register focus on the role of heritability in mental and physical health. For instance, the NTR investigates why some people become more easily depressed than others, or why certain people get diabetes while others do not. Other research areas include lifestyle and habits that influence health and disease, such as smoking, drinking and exercise. |
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Country code | NL |
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Lowest geographic reference | postal code |
Highest geographic reference | country |
Cohort universe description | Families with twins or other multiples under the age of 18. |
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Time method | Longitudinal.CohortEventBased |
Measure was collected within the following wave(s):
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Short description of the wave | The YC_BS1 project was the first measurement in the Dutch longitudinal Brain Scale study in which twins, their siblings and their parents were assessed at three year intervals. YC_BS1 targeted 9-year old twins (mean age = 9.1 years, SD = 0.51 years) born between 1995 and 1996, and their 9-14 year old siblings (mean age = 11.9 years, SD = 1.16 years) born between 1990 and 1997. The main aim of the Brain Scale project was to explore to what extent genetic and environmental factors explain individual differences in brain development and cognition. Data collection included psychometric IQ tests, a comprehensive neuropsychological testing protocol, and parental and self-ratings of behavioral and emotional problems. Physical maturation was measured through assessment of Tanner stages. Hormonal levels (cortisol, luteinizing hormone, follicle-stimulating hormone, testosterone, and estrogens) were assessed in urine and saliva. Brain scans were acquired using 1.5 Tesla Magnetic Resonance Imaging (MRI), which provided volumetric measures and measures of cortical thickness. Buccal swabs were collected for DNA isolation for future candidate gene and genome-wide analysis studies. |
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(sub) cohort | NTR: Young Netherlands Twin Register |
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Start date wave collection | 2005-01-01 |
End date wave collection | 2005-01-01 |
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Description of physical data product | Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. |
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Short description of the wave | The YC_BS2 project was the second measurement in the Dutch longitudinal Brain Scale study in which twins, their siblings and their parents were assessed at three year intervals. YC_BS2 took place three years after the baseline (YC_BS1) and targeted 12-year old twins (mean age = 12.2 years, SD = 0.3 years) born between 1995 and 1996 and their 9-18 year old siblings (mean age = 14.8 years, SD = 1.3 years) born between 1990 and 1997. The main aim of the Brain Scale project was to explore to what extent genetic and environmental factors explain individual differences in brain development and cognition. Data collection included psychometric IQ tests, a comprehensive neuropsychological testing protocol, and parental and self-ratings of behavioral and emotional problems. Physical maturation was measured through assessment of Tanner stages. Hormonal levels (cortisol, luteinizing hormone, follicle-stimulating hormone, testosterone, and estrogens) were assessed in urine and saliva. Brain scans were acquired using 1.5 Tesla Magnetic Resonance Imaging (MRI), which provided volumetric measures and measures of cortical thickness. Buccal swabs were collected for DNA isolation for future candidate gene and genome-wide analysis studies. |
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(sub) cohort | NTR: Young Netherlands Twin Register |
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Start date wave collection | 2007-01-01 |
End date wave collection | 2009-01-01 |
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Description of physical data product | Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. |
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Short description of the wave | The YE_ATTEF2 project was the second measurement of a longitudinal study on the source of individual differences of cognition, attention, and executive functioning from preschool to young adulthood. This project included the measurement five years after baseline (YE_ATTEF1) among 12-year old twin pairs (mean age = 12.4 years, SD = 0.14 years) and their 8-16 year old siblings (mean age = 11.97 years, SD = 2.55 years), and additionally recruited new twin pairs and siblings of the twin pairs. Behavioral data were collected with surveys filled in by parents and teachers (Conners, Child Behavior Checklist (CBCL), Strengths and Weaknesses of ADHD symptoms and Normal behavior Scale (SWAN), Teacher Report Form (TRF)) or filled in by children themselves (Youth Self Report (YSR)). To measure pubertal development, children filled in the Tanner questionnaire. Neurocognitive abilities were assessed with computerized ANT tasks, Flanker, Simon and Stroop. IQ was assessed with WISC-R. DNA was collected to determine zygosity and for genotyping SNP’S at candidate gene loci. Saliva was collected to assess cortisol concentrations. |
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(sub) cohort | NTR: Young Netherlands Twin Register |
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Start date wave collection | 2002-01-01 |
End date wave collection | 2004-01-01 |
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Description of physical data product | Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. |
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Short description of the wave | In the ADHD-MRI project, the genetic and environmental influence on ADHD related neurobiological changes were investigated in monozygotic twins (mean age = 14.9 years, SD = 1.2 years) who were born between 1986 and 1993. Twins were selected based on their Child Behavior Checklist Attention Problems (CBCL-AP) scores obtained in the regular YNTR survey waves and divided into three groups: discordant pairs (one affected, one unaffected), concordant pairs (both affected) and control pairs (both unaffected). To determine the presence of ADHD, mothers of the participants were interviewed with the Diagnostic Interview Schedule for Children (DISC-IV). Additionally, they filled in two behavioral questionnaires (CBCL and Strengths and Weaknesses of ADHD Symptoms and Normal Behavior (SWAN)). The twins filled in the Youth Self Report (YSR). Based on the outcome of the interview and questionnaires, twin pairs that were found eligible for the MRI experiments were invited. Both structural and functional MRI (color-stroop and flanker tasks) were performed. DNA was collected to confirm zygosity. |
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(sub) cohort | NTR: Young Netherlands Twin Register |
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Start date wave collection | 2003-01-01 |
End date wave collection | 2007-01-01 |
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Stage of measurement | |
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Description of physical data product | Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. |
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Short description of the wave | The YE_COG18 project is the fifth measurement of a longitudinal study into the development of intelligence and problem behaviour (waves one and two not included in this catalogue, wave 3: YE_COG10, wave 4: YE_COG12), to which additional participants were recruited (twins with siblings and their parents). It targeted 18-year old twins (mean age = 18.1 years, SD = 0.5 years) born between 1986 and 1991, their 8-35 year old siblings (mean age = 18.8 years, SD = 4.9 years) born between 1970 and 1998, and their parents (mean age = 48.9 years, SD = 4.14 years) born between 1942 and 1965. The test protocol consisted of a physical part and a psychological part. Physical measurements included cardiovascular functioning (assessed with the VU-AMS device), a physical examination with basic anthropometric measurements and the collection of saliva, DNA and fingerprints. The psychological part consisted of a series of cognitive tests that measured the following abilities: intelligence (Wechsler Intelligence Scale for Children, WISC-R or Revised Amsterdamse Kinder Intelligentie Test, RAKIT); inhibition (Stroop); spontaneous production of words (Verbal fluency); verbal learning and memory (California Verbal Learning Task, CVLT); emotion recognition (Reading the mind in the eyes); perceptual speed (Π inspection time task); spatial short term memory (n-back task and Corsi block tapping task). Furthermore, some questionnaires were administered to the participants (Autism-Spectrum Quotient, Tanner self-report), mothers of the twins (Social Responsiveness Scale) and research assistants (Test Observation form). |
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(sub) cohort | NTR: Young Netherlands Twin Register |
Life stage | |
Coverage percentage of the measurement for this wave | |
Start date wave collection | 2004-01-01 |
End date wave collection | 2006-01-01 |
Wave universe description |
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Stage of measurement | |
Language |
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Description of physical data product | Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. |
Additional info (URL) | |
Additional information | |
Contributors |
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author | None |
author_email | None |
creator_user_id | 34768773-4537-4d74-8d9d-11e2b32cbbaf |
dc_additional_info | In NTR projects YC_BS1, YC_BS2, YE_ATTEF2 and YE_COG18, the Stroop color-word task was measured with cards and in NTR project YC_ADHMRI, it was measured through a computerized task. |
dc_alternate_name | Stroop task |
dc_analysis_unit | {Individual} |
dc_cohort | NTR |
id | 28f02407-f9ed-4e18-bbb7-2919a61e453a |
isopen | False |
license_title | None |
maintainer | None |
maintainer_email | None |
metadata_created | 2024-10-17T12:43:18.802451 |
metadata_modified | 2024-10-20T12:54:45.733238 |
name | 17e57e6b214cd2452f8eb8d755c629a5 |
notes | The Stroop color-word task consists of pairs of conflicting word and color stimuli, both being inherent aspects of the same symbols, presented simultaneously, for example a name of one color printed in the ink of another color. The difference in time for reading the words printed in colors and the same words printed in black is the measure of the interference of color stimuli upon reading words. |
num_resources | 0 |
num_tags | 0 |
organization | {'id': '45b26247-5cc8-4bf1-a214-3efb773faa3a', 'name': 'ntr', 'title': 'Netherlands Twin Register', 'type': 'organization', 'description': 'The Netherlands Twin Register (NTR) consists of individuals who have agreed to participate in twin-family studies and was established and is managed by the Department of Biological Psychology, VU University Amsterdam (see: https://tweelingenregister.vu.nl/). The NTR was established in 1987 and has enrolled around 120.000 twins and a roughly equal number of their relatives. The majority of twin families have participated one or more times in survey studies on a host of epidemiological variables including social demography, personality, lifestyle, somatic and mental health, and subsamples took part in biomaterial collection (e.g. DNA) and dedicated projects for e.g. neuropsychological, biomarker, and behavioral traits. The recruitment into the NTR is fully inclusive without any restrictions on enrolment. The NTR is committed to actively seek the commitment of its participants to science and their continued involvement in NTR research by maintaining a website, electronic newsletters, and the MijnNTR portal that provides personalized feedback to participants. The NTR resources, e.g. the longitudinal phenotyping, the extended pedigree structures, and the multi-generation genotyping allow for future twin-family research that will contribute to gene discovery, causality modelling, and studies of genetic and cultural inheritance of behavioral traits and mental and physical health. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR).', 'image_url': 'https://data.individualdevelopment.nl/img/logo_ntr.png', 'created': '2024-10-17T13:43:56.356410', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'} |
owner_org | 45b26247-5cc8-4bf1-a214-3efb773faa3a |
private | False |
state | active |
title | Stroop color-word task |
type | measure |
cohort | [{'cohort_alternate_title': 'YNTR', 'cohort_description': 'The Young Netherlands Twin Register (YNTR) consists of projects within the Netherlands Twin Register (NTR) that involve families with twins or other multiples under the age of 18.', 'cohort_language': 'NL', 'cohort_purpose': 'The purpose of the projects within the Young Netherlands Twin Register focus on the role of heritability in mental and physical health. For instance, the NTR investigates why some people become more easily depressed than others, or why certain people get diabetes while others do not. Other research areas include lifestyle and habits that influence health and disease, such as smoking, drinking and exercise.', 'cohort_spatial_country_code': 'NL', 'cohort_spatial_highest_reference': 'country', 'cohort_spatial_lowest_reference': 'postal code', 'cohort_time_method': 'Longitudinal.CohortEventBased', 'cohort_title': 'NTR: Young Netherlands Twin Register', 'cohort_universe': 'Families with twins or other multiples under the age of 18.', 'cohort_contributor': [{'cohort_contributor': 'YNTR administration', 'cohort_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'cohort_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'cohort_contributor_affiliation_identifier_scheme': 'ROR', 'cohort_contributor_affiliation_identifier_schemeuri': 'https://ror.org/'}], 'cohort_creator': [{'cohort_creator_affiliation': 'Vrije Universiteit Amsterdam', 'cohort_creator_affiliation_identifier': 'https://ror.org/008xxew50', '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': 'Boomsma, Dorret I.', 'cohort_creator_pid': '0000-0002-7099-7972'}], 'cohort_funding': [{'cohort_funder': 'Dutch Research Council', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '480-15-001/674'}, {'cohort_funder': 'Dutch Research Council', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '575-25-006'}, {'cohort_funder': 'Dutch Research Council', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '480-04-004'}, {'cohort_funder': 'Dutch Research Council', 'cohort_funder_identifier': 'https://ror.org/04jsz6e67', 'cohort_funder_identifier_schemuri': 'https://ror.org/', 'cohort_funder_identifier_type': 'ROR', 'cohort_grant_number': '911-09-032'}], 'cohort_publisher': [{'cohort_publisher_identifier': 'https://ror.org/008xxew50', 'cohort_publisher_identifier_type': 'ROR', 'cohort_publisher_name': 'Vrije Universiteit Amsterdam'}], 'cohort_references': [{'cohort_reference_citation': 'Boomsma DI, de Geus EJ, Vink JM, Stubbe JH, Distel MA, Hottenga JJ, Posthuma D, van Beijsterveldt TC, Hudziak JJ, Bartels M, Willemsen G. Netherlands Twin Register: from twins to twin families. Twin Res Hum Genet. 2006 Dec;9(6):849-57. doi: 10.1375/183242706779462426. PMID: 17254420.', 'cohort_reference_identifier': 'https://doi.org/10.1375/183242706779462426', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'Boomsma DI, Willemsen G, Vink JM, Bartels M, Groot P, Hottenga JJ, van Beijsterveldt CE, Stroet T, van Dijk R, Wertheim R, Visser M, van der Kleij F. Design and implementation of a twin-family database for behavior genetics and genomics studies. Twin Res Hum Genet. 2008 Jun;11(3):342-8. doi: 10.1375/twin.11.3.342. PMID: 18498212.', 'cohort_reference_identifier': 'https://doi.org/10.1375/twin.11.3.342', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': 'van Beijsterveldt CE, Groen-Blokhuis M, Hottenga JJ, Franić S, Hudziak JJ, Lamb D, Huppertz C, de Zeeuw E, Nivard M, Schutte N, Swagerman S, Glasner T, van Fulpen M, Brouwer C, Stroet T, Nowotny D, Ehli EA, Davies GE, Scheet P, Orlebeke JF, Kan KJ, Smit D, Dolan CV, Middeldorp CM, de Geus EJ, Bartels M, Boomsma DI. The Young Netherlands Twin Register (YNTR): longitudinal twin and family studies in over 70,000 children. Twin Res Hum Genet. 2013 Feb;16(1):252-67. doi: 10.1017/thg.2012.118. Epub 2012 Nov 28. PMID: 23186620.', 'cohort_reference_identifier': 'https://doi.org/10.1017/thg.2012.118', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}, {'cohort_reference_citation': "Ligthart L, van Beijsterveldt CEM, Kevenaar ST, de Zeeuw E, van Bergen E, Bruins S, Pool R, Helmer Q, van Dongen J, Hottenga JJ, Van't Ent D, Dolan CV, Davies GE, Ehli EA, Bartels M, Willemsen G, de Geus EJC, Boomsma DI. The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin-Family Designs. Twin Res Hum Genet. 2019 Dec;22(6):623-636. doi: 10.1017/thg.2019.93. Epub 2019 Oct 31. PMID: 31666148.", 'cohort_reference_identifier': 'https://doi.org/10.1017/thg.2019.93', 'cohort_reference_identifier_type': 'DOI', 'cohort_reference_type': 'IsDescribedBy'}]}] |
dc_DOI | [{'dc_identifier_type': 'DOI', 'dc_pid': '10.60641/rhgm-pc68'}] |
dc_constructs | [{'dc_construct': 'cognition'}] |
dc_labels | [{'dc_label': 'attention'}, {'dc_label': 'executive functioning'}, {'dc_label': 'stimulus interference'}, {'dc_label': 'inhibitory control'}, {'dc_label': 'cognitive control'}, {'dc_label': 'executive functions'}, {'dc_label': 'selective attention'}, {'dc_label': 'executive processing'}] |
dc_measurement_references | [{'dc_measurements_references_citation': 'Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643–662. https://doi.org/10.1037/h0054651\n', 'dc_measurements_references_doi': 'https://doi.org/10.1037/h0054651'}] |
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': 108}, {'measure_age_month': 144}, {'measure_age_month': 180}, {'measure_age_month': 216}] |
study | [{'study_alternate_title': 'NTR', 'study_language': 'NL', 'study_purpose': 'The research carried out by the Netherlands Twin Register focuses on the role of heritability in mental and physical health. For instance, the NTR investigates why some people become more easily depressed than others, or why certain people get diabetes while others do not. Other research areas include lifestyle and habits that influence health and disease, such as smoking, drinking and exercise.', 'study_time_method': 'Longitudinal', 'study_universe': 'The recruitment into the NTR is fully inclusive without any restrictions on enrolment. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR). ', 'title': 'Netherlands Twin Register', 'study_contact': [{'study_contact_affiliation': 'Vrije Universiteit Amsterdam', 'study_contact_mail': 'ntr.datamanagement.fgb@vu.nl', 'study_contact_name': 'NTR Data Management'}], 'study_contributor': [{'study_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'study_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'study_contributor_affiliation_identifier_scheme': 'ROR', 'study_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_contributor_name': 'YNTR administration'}], 'study_data_access': [{'study_data_access_URL': 'https://ntr-data-request.psy.vu.nl/', 'study_data_access_description': 'Researchers with an approved data sharing request who abide by the rules of the European General Data Protection Regulation can receive temporary access to the NTR data for their own research projects.'}], 'study_funding': [{'study_funder': 'Dutch Research Council', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '480-15-001/674'}, {'study_funder': 'Dutch Research Council', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '575-25-006'}, {'study_funder': 'Dutch Research Council', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '480-04-004'}, {'study_funder': 'Dutch Research Council', 'study_funder_identifier': 'https://ror.org/04jsz6e67', 'study_funder_identifier_schemuri': 'https://ror.org/', 'study_funder_identifier_type': 'ROR', 'study_grant_number': '911-09-032'}], 'study_principal_investigators': [{'study_pi_affiliation': 'Vrije Universiteit Amsterdam', 'study_pi_affiliation_identifier': 'https://ror.org/008xxew50', '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': 'Boomsma, Dorret I.', 'study_pi_pid': '0000-0002-7099-7972'}], 'study_publisher': [{'study_publisher_identifier': 'https://ror.org/008xxew50', 'study_publisher_identifier_schemeuri': 'https://ror.org/', 'study_publisher_identifier_type': 'ROR', 'study_publisher_name': 'Vrije Universiteit Amsterdam'}], 'study_references': [{'study_reference_citation': 'Boomsma DI, de Geus EJ, Vink JM, Stubbe JH, Distel MA, Hottenga JJ, Posthuma D, van Beijsterveldt TC, Hudziak JJ, Bartels M, Willemsen G. Netherlands Twin Register: from twins to twin families. Twin Res Hum Genet. 2006 Dec;9(6):849-57. doi: 10.1375/183242706779462426. PMID: 17254420.', 'study_reference_identifier': 'https://doi.org/10.1375/183242706779462426', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Boomsma DI, Willemsen G, Vink JM, Bartels M, Groot P, Hottenga JJ, van Beijsterveldt CE, Stroet T, van Dijk R, Wertheim R, Visser M, van der Kleij F. Design and implementation of a twin-family database for behavior genetics and genomics studies. Twin Res Hum Genet. 2008 Jun;11(3):342-8. doi: 10.1375/twin.11.3.342. PMID: 18498212.', 'study_reference_identifier': 'https://doi.org/10.1375/twin.11.3.342', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'van Beijsterveldt CE, Groen-Blokhuis M, Hottenga JJ, Franić S, Hudziak JJ, Lamb D, Huppertz C, de Zeeuw E, Nivard M, Schutte N, Swagerman S, Glasner T, van Fulpen M, Brouwer C, Stroet T, Nowotny D, Ehli EA, Davies GE, Scheet P, Orlebeke JF, Kan KJ, Smit D, Dolan CV, Middeldorp CM, de Geus EJ, Bartels M, Boomsma DI. The Young Netherlands Twin Register (YNTR): longitudinal twin and family studies in over 70,000 children. Twin Res Hum Genet. 2013 Feb;16(1):252-67. doi: 10.1017/thg.2012.118. Epub 2012 Nov 28. PMID: 23186620.', 'study_reference_identifier': 'https://doi.org/10.1017/thg.2012.118', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': "Ligthart L, van Beijsterveldt CEM, Kevenaar ST, de Zeeuw E, van Bergen E, Bruins S, Pool R, Helmer Q, van Dongen J, Hottenga JJ, Van't Ent D, Dolan CV, Davies GE, Ehli EA, Bartels M, Willemsen G, de Geus EJC, Boomsma DI. The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin-Family Designs. Twin Res Hum Genet. 2019 Dec;22(6):623-636. doi: 10.1017/thg.2019.93. Epub 2019 Oct 31. PMID: 31666148.", 'study_reference_identifier': 'https://doi.org/10.1017/thg.2019.93', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Bartels M, van Beijsterveldt CE, Derks EM, Stroet TM, Polderman TJ, Hudziak JJ, Boomsma DI. Young Netherlands Twin Register (Y-NTR): a longitudinal multiple informant study of problem behavior. Twin Res Hum Genet. 2007 Feb;10(1):3-11. doi: 10.1375/twin.10.1.3.PMID: 17539360.', 'study_reference_identifier': 'https://doi.org/10.1375/twin.10.1.3', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Boomsma DI, Orlebeke JF, van Baal GC.Behav Genet. The Dutch Twin Register: growth data on weight and height. 1992 Mar;22(2):247-51. doi: 10.1007/BF01067004', 'study_reference_identifier': 'https://doi.org/10.1007/BF01067004', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}, {'study_reference_citation': 'Franić S, Dolan CV, van Beijsterveldt CE, Hulshoff Pol HE, Bartels M, Boomsma DI. Genetic and environmental stability of intelligence in childhood and adolescence. Twin Res Hum Genet. 2014 Jun;17(3):151-63. doi: 10.1017/thg.2014.', 'study_reference_identifier': 'https://doi.org/10.1017/thg.2014', 'study_reference_identifier_type': 'DOI', 'study_reference_type': 'IsDescribedBy'}]}] |
wave | [{'wave_alternate_title': ['Brain Scale measurement 1 [YC_BS1]', 'Brain Scale measurement t0', 'BrainScale age 9'], 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The YC_BS1 project was the first measurement in the Dutch longitudinal Brain Scale study in which twins, their siblings and their parents were assessed at three year intervals. YC_BS1 targeted 9-year old twins (mean age = 9.1 years, SD = 0.51 years) born between 1995 and 1996, and their 9-14 year old siblings (mean age = 11.9 years, SD = 1.16 years) born between 1990 and 1997. The main aim of the Brain Scale project was to explore to what extent genetic and environmental factors explain individual differences in brain development and cognition. Data collection included psychometric IQ tests, a comprehensive neuropsychological testing protocol, and parental and self-ratings of behavioral and emotional problems. Physical maturation was measured through assessment of Tanner stages. Hormonal levels (cortisol, luteinizing hormone, follicle-stimulating hormone, testosterone, and estrogens) were assessed in urine and saliva. Brain scans were acquired using 1.5 Tesla Magnetic Resonance Imaging (MRI), which provided volumetric measures and measures of cortical thickness. Buccal swabs were collected for DNA isolation for future candidate gene and genome-wide analysis studies.', 'wave_end_date_collection': '2005-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2005-01-01', 'wave_title': 'YC_BS1', 'wave_universe': '108', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'van Leeuwen, Marieke', 'wave_contributor_pid': '0000-0003-1976-5831'}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_name': 'Peper, Jiska'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_award_title': '', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '051.02.060'}, {'wave_funder_award_title': '', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '051.02.061'}, {'wave_funder_award_title': 'Spinoza Prize', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '56-464-14192'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'van Soelen IL, Brouwer RM, Peper JS, van Leeuwen M, Koenis MM, van Beijsterveldt TC, Swagerman SC, Kahn RS, Hulshoff Pol HE, Boomsma DI. Brain SCALE: brain structure and cognition: an adolescent longitudinal twin study into the genetic etiology of individual differences. Twin Res Hum Genet. 2012 Jun;15(3):453-67. doi: 10.1017/thg.2012.4. PMID: 22856378.', 'wave_references_identifier': 'https://doi.org/10.1017/thg.2012.4', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'van Leeuwen, M. (2008). A study of cognition in pre-adolescent twins. https://research.vu.nl/en/publications/a-study-of-cognition-in-pre-adolescent-twins. ISBN: 978 90 9023637 7.', 'wave_references_identifier': 'https://hdl.handle.net/1871/13072', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Peper, J. S. (2008). The early pubertal brain: work in progress: A study on genetic and hormonal influences. https://research.vu.nl/en/publications/the-early-pubertal-brain-work-in-progress-a-study-on-genetic-and-. ISBN: 978-90-393-4917-5.', 'wave_references_identifier': 'https://hdl.handle.net/1871.1/f6c21ff1-e62d-42b3-9baf-137c698b9e71', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'C', 'wave_subject_code_translated': 'Child'}, {'wave_subject_code': 'S', 'wave_subject_code_translated': 'Sibling (not part of multiple)'}]}, {'wave_alternate_title': ['Brain Scale measurement 2 [YC_BS2]', 'Brain Scale measurement t1', 'BrainScale age 12'], 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The YC_BS2 project was the second measurement in the Dutch longitudinal Brain Scale study in which twins, their siblings and their parents were assessed at three year intervals. YC_BS2 took place three years after the baseline (YC_BS1) and targeted 12-year old twins (mean age = 12.2 years, SD = 0.3 years) born between 1995 and 1996 and their 9-18 year old siblings (mean age = 14.8 years, SD = 1.3 years) born between 1990 and 1997. The main aim of the Brain Scale project was to explore to what extent genetic and environmental factors explain individual differences in brain development and cognition. Data collection included psychometric IQ tests, a comprehensive neuropsychological testing protocol, and parental and self-ratings of behavioral and emotional problems. Physical maturation was measured through assessment of Tanner stages. Hormonal levels (cortisol, luteinizing hormone, follicle-stimulating hormone, testosterone, and estrogens) were assessed in urine and saliva. Brain scans were acquired using 1.5 Tesla Magnetic Resonance Imaging (MRI), which provided volumetric measures and measures of cortical thickness. Buccal swabs were collected for DNA isolation for future candidate gene and genome-wide analysis studies.', 'wave_end_date_collection': '2009-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2007-01-01', 'wave_title': 'YC_BS2', 'wave_universe': '144', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_name': 'van Soelen, Inge'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_award_title': 'Spinoza Prize', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '56-464-14192'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'van Soelen IL, Brouwer RM, Peper JS, van Leeuwen M, Koenis MM, van Beijsterveldt TC, Swagerman SC, Kahn RS, Hulshoff Pol HE, Boomsma DI. Brain SCALE: brain structure and cognition: an adolescent longitudinal twin study into the genetic etiology of individual differences. Twin Res Hum Genet. 2012 Jun;15(3):453-67. doi: 10.1017/thg.2012.4. PMID: 22856378.', 'wave_references_identifier': 'https://doi.org/10.1017/thg.2012.4', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'van Soelen, I. L. C. (2011). Genetics of Structural Brain Development and Cognition in Childhood and Early Adolescence. https://research.vu.nl/en/publications/genetics-of-structural-brain-development-and-cognition-in-childho. ISBN: 978-90-6464-498-6.', 'wave_references_identifier': 'https://hdl.handle.net/1871/23946', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'C', 'wave_subject_code_translated': 'Child'}, {'wave_subject_code': 'S', 'wave_subject_code_translated': 'Sibling (not part of multiple)'}]}, {'wave_alternate_title': 'Genetics of attention and executive functioning measurement 2 [YE_ATTEF2]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The YE_ATTEF2 project was the second measurement of a longitudinal study on the source of individual differences of cognition, attention, and executive functioning from preschool to young adulthood. This project included the measurement five years after baseline (YE_ATTEF1) among 12-year old twin pairs (mean age = 12.4 years, SD = 0.14 years) and their 8-16 year old siblings (mean age = 11.97 years, SD = 2.55 years), and additionally recruited new twin pairs and siblings of the twin pairs. Behavioral data were collected with surveys filled in by parents and teachers (Conners, Child Behavior Checklist (CBCL), Strengths and Weaknesses of ADHD symptoms and Normal behavior Scale (SWAN), Teacher Report Form (TRF)) or filled in by children themselves (Youth Self Report (YSR)). To measure pubertal development, children filled in the Tanner questionnaire. Neurocognitive abilities were assessed with computerized ANT tasks, Flanker, Simon and Stroop. IQ was assessed with WISC-R. DNA was collected to determine zygosity and for genotyping SNP’S at candidate gene loci. Saliva was collected to assess cortisol concentrations.', 'wave_end_date_collection': '2004-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2002-01-01', 'wave_title': 'YE_ATTEF2', 'wave_universe': '144', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Polderman, Tinca', 'wave_contributor_pid': '0000-0001-5564-301X'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '904-57-94'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'Polderman, T. J. C. (2007). Genetics of Attention and Executive Functioning. https://research.vu.nl/en/publications/genetics-of-attention-and-executive-functioning. ISBN: 9789086590964.', 'wave_references_identifier': 'https://hdl.handle.net/1871/10808', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'C', 'wave_subject_code_translated': 'Child'}, {'wave_subject_code': 'S', 'wave_subject_code_translated': 'Sibling (not part of multiple)'}]}, {'wave_alternate_title': 'MRI-based research into problem behaviors in twins [YC_ADHMRI]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'In the ADHD-MRI project, the genetic and environmental influence on ADHD related neurobiological changes were investigated in monozygotic twins (mean age = 14.9 years, SD = 1.2 years) who were born between 1986 and 1993. Twins were selected based on their Child Behavior Checklist Attention Problems (CBCL-AP) scores obtained in the regular YNTR survey waves and divided into three groups: discordant pairs (one affected, one unaffected), concordant pairs (both affected) and control pairs (both unaffected). To determine the presence of ADHD, mothers of the participants were interviewed with the Diagnostic Interview Schedule for Children (DISC-IV). Additionally, they filled in two behavioral questionnaires (CBCL and Strengths and Weaknesses of ADHD Symptoms and Normal Behavior (SWAN)). The twins filled in the Youth Self Report (YSR). Based on the outcome of the interview and questionnaires, twin pairs that were found eligible for the MRI experiments were invited. Both structural and functional MRI (color-stroop and flanker tasks) were performed. DNA was collected to confirm zygosity.', 'wave_end_date_collection': '2007-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2003-01-01', 'wave_title': 'YC_ADHMRI', 'wave_universe': '180', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Derks, Eske M.', 'wave_contributor_pid': '0000-0002-6292-6883'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_award_title': 'Investigator Initiated Research Grant (R01)', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': 'MH58799-03'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'Derks EM, Hudziak JJ, Dolan CV, Ferdinand RF, Boomsma DI. The relations between DISC-IV DSM diagnoses of ADHD and multi-informant CBCL-AP syndrome scores. Compr Psychiatry. 2006 Mar-Apr;47(2):116-22. doi: 10.1016/j.comppsych.2005.05.006. PMID: 16490569.', 'wave_references_identifier': 'https://doi.org/10.1016/j.comppsych.2005.05.006', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Derks, E. M. (2006). Assessment and genetic aetiology of attention problems, hyperactivity, and related disorders.', 'wave_references_identifier': 'https://hdl.handle.net/1871/10547', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': "van 't Ent D, Lehn H, Derks EM, Hudziak JJ, Van Strien NM, Veltman DJ, De Geus EJ, Todd RD, Boomsma DI. A structural MRI study in monozygotic twins concordant or discordant for attention/hyperactivity problems: evidence for genetic and environmental heterogeneity in the developing brain. Neuroimage. 2007 Apr 15;35(3):1004-20. doi: 10.1016/j.neuroimage.2007.01.037. Epub 2007 Feb 8. PMID: 17346990; PMCID: PMC1939804.", 'wave_references_identifier': 'https://doi.org/10.1016/j.neuroimage.2007.01.037', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': "van 't Ent D, van Beijsterveldt CE, Derks EM, Hudziak JJ, Veltman DJ, Todd RD, Boomsma DI, De Geus EJ. Neuroimaging of response interference in twins concordant or discordant for inattention and hyperactivity symptoms. Neuroscience. 2009 Nov 24;164(1):16-29. doi: 10.1016/j.neuroscience.2009.01.056. Epub 2009 Feb 3. PMID: 19409224; PMCID: PMC2760677.", 'wave_references_identifier': 'https://doi.org/10.1016/j.neuroscience.2009.01.056', 'wave_references_identifier_type': 'DOI', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'C', 'wave_subject_code_translated': 'Child'}]}, {'wave_alternate_title': 'Cognitive abilities of 18-year-old twins [YE_COG18]', 'wave_cohort': 'NTR: Young Netherlands Twin Register', 'wave_cohort_ckan_id': '6f88a94b0bf79a8304ba604c655c08a9', 'wave_description': 'The YE_COG18 project is the fifth measurement of a longitudinal study into the development of intelligence and problem behaviour (waves one and two not included in this catalogue, wave 3: YE_COG10, wave 4: YE_COG12), to which additional participants were recruited (twins with siblings and their parents). It targeted 18-year old twins (mean age = 18.1 years, SD = 0.5 years) born between 1986 and 1991, their 8-35 year old siblings (mean age = 18.8 years, SD = 4.9 years) born between 1970 and 1998, and their parents (mean age = 48.9 years, SD = 4.14 years) born between 1942 and 1965. The test protocol consisted of a physical part and a psychological part. Physical measurements included cardiovascular functioning (assessed with the VU-AMS device), a physical examination with basic anthropometric measurements and the collection of saliva, DNA and fingerprints. The psychological part consisted of a series of cognitive tests that measured the following abilities: intelligence (Wechsler Intelligence Scale for Children, WISC-R or Revised Amsterdamse Kinder Intelligentie Test, RAKIT); inhibition (Stroop); spontaneous production of words (Verbal fluency); verbal learning and memory (California Verbal Learning Task, CVLT); emotion recognition (Reading the mind in the eyes); perceptual speed (Π inspection time task); spatial short term memory (n-back task and Corsi block tapping task). Furthermore, some questionnaires were administered to the participants (Autism-Spectrum Quotient, Tanner self-report), mothers of the twins (Social Responsiveness Scale) and research assistants (Test Observation form).', 'wave_end_date_collection': '2006-01-01', 'wave_language': 'NL', 'wave_physical_data_product_description': 'Data collected through paper-and-pencil surveys have been scanned. All data digitally archived. ', 'wave_start_date_collection': '2004-01-01', 'wave_title': 'YE_COG18', 'wave_universe': '216', 'wave_contributor': [{'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Hoekstra, Rosa A.', 'wave_contributor_pid': '0000-0002-1333-9762'}, {'wave_contributor_affiliation': 'Vrije Universiteit Amsterdam', 'wave_contributor_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_contributor_affiliation_identifier_scheme': 'ROR', 'wave_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_contributor_identifier_schemeuri': 'https://orcid.org/', 'wave_contributor_identifier_type': 'ORCID', 'wave_contributor_name': 'Estourgie-van Burk, Frederiek', 'wave_contributor_pid': '0000-0001-7562-641X'}], 'wave_creator': [{'wave_creator_affiliation': 'Vrije Universiteit Amsterdam', 'wave_creator_affiliation_identifier': 'https://ror.org/008xxew50', 'wave_creator_affiliation_identifier_scheme': 'ROR', 'wave_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'wave_creator_identifier_schemeuri': 'https://orcid.org/', 'wave_creator_name': 'Boomsma, Dorret I.', 'wave_creator_pid': '0000-0002-7099-7972'}], 'wave_funding': [{'wave_funder_award_title': 'Spinoza Prize', 'wave_funder_identifier_schemuri': 'https://ror.org/', 'wave_funder_identifier_type': 'ROR', 'wave_grant_number': '56-464-14192'}], 'wave_publisher': [{'wave_publisher_identifier': 'https://ror.org/008xxew50', 'wave_publisher_identifier_type': 'ROR', 'wave_publisher_name': 'Vrije Universiteit Amsterdam'}], 'wave_references': [{'wave_references_citation': 'Hoekstra, R. A. (2007). Autistic traits, withdrawn behaviour and cognition: a longitudinal twin study from early childhood to young adulthood. https://research.vu.nl/en/publications/autistic-traits-withdrawn-behaviour-and-cognition-a-longitudinal-.', 'wave_references_identifier': 'https://hdl.handle.net/1871/33194', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}, {'wave_references_citation': 'Estourgie-van Burk, G. F. (2011). Variation in growth and the influence of early growth in later life: a twin-sibling study. https://research.vu.nl/en/publications/variation-in-growth-and-the-influence-of-early-growth-in-later-li. ISBN: 9789086595532.', 'wave_references_identifier': 'https://hdl.handle.net/1871/19635', 'wave_references_identifier_type': 'Handle', 'wave_references_type': 'IsDescribedBy'}], 'wave_subject_codes': [{'wave_subject_code': 'C', 'wave_subject_code_translated': 'Child'}, {'wave_subject_code': 'S', 'wave_subject_code_translated': 'Sibling (not part of multiple)'}]}] |
resources | [] |
tags | [] |
groups | [] |
relationships_as_subject | [] |
relationships_as_object | [] |
tracking_summary | {'total': 0, 'recent': 0} |