MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1038/s41597-021-01106-3

Медицинская библиотека · Scientific data · 2022

A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old.

Wang Jin, Lytle Marisa N, Weiss Yael, Yamasaki Brianna L, Booth James R

DatasetСтатьяПоддержка NIH: внешняя программаПоддержка правительства СШАПеревод пока не подготовлен

Аннотация

This dataset examines language development with a longitudinal design and includes diffusion- and T1-weighted structural magnetic resonance imaging (MRI), task-based functional MRI (fMRI), and a battery of psycho-educational assessments and parental questionnaires. We collected data from 5.5-6.5-year-old children (ses-5) and followed them up when they were 7-8 years old (ses-7) and then again at 8.5-10 years old (ses-9). To increase the sample size at the older time points, another cohort of 7-8-year-old children (ses-7) were recruited and followed up when they were 8.5-10 years old (ses-9). In total, 322 children who completed at least one structural and functional scan were included. Children performed four fMRI tasks consisting of two word-level tasks examining phonological and semantic processing and two sentence-level tasks investigating semantic and syntactic processing. The MRI data is valuable for examining changes over time in interactive specialization due to the use of multiple imaging modalities and tasks in this longitudinal design. In addition, the extensive psycho-educational assessments and questionnaires provide opportunities to explore brain-behavior and brain-environment associations.

Для цитирования: Wang Jin, Lytle Marisa N, Weiss Yael, Yamasaki Brianna L, Booth James R. A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old.. Scientific data. 2022. DOI: 10.1038/s41597-021-01106-3.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.