Literature DB >> 32451322

Behavioral and Neural Signatures of Working Memory in Childhood.

Monica D Rosenberg1,2, Steven A Martinez2, Kristina M Rapuano2, May I Conley2, Alexandra O Cohen3, M Daniela Cornejo4,5, Donald J Hagler4, Wesley J Meredith6, Kevin M Anderson2, Tor D Wager7,8, Eric Feczko9,10, Eric Earl9, Damien A Fair9,11,12, Deanna M Barch13,14,15, Richard Watts2, B J Casey16.   

Abstract

Working memory function changes across development and varies across individuals. The patterns of behavior and brain function that track individual differences in working memory during human development, however, are not well understood. Here, we establish associations between working memory, other cognitive abilities, and functional MRI (fMRI) activation in data from over 11,500 9- to 10-year-old children (both sexes) enrolled in the Adolescent Brain Cognitive Development (ABCD) Study, an ongoing longitudinal study in the United States. Behavioral analyses reveal robust relationships between working memory, short-term memory, language skills, and fluid intelligence. Analyses relating out-of-scanner working memory performance to memory-related fMRI activation in an emotional n-back task demonstrate that frontoparietal activity during a working memory challenge indexes working memory performance. This relationship is domain specific, such that fMRI activation related to emotion processing during the emotional n-back task, inhibitory control during a stop-signal task (SST), and reward processing during a monetary incentive delay (MID) task does not track memory abilities. Together, these results inform our understanding of individual differences in working memory in childhood and lay the groundwork for characterizing the ways in which they change across adolescence.SIGNIFICANCE STATEMENT Working memory is a foundational cognitive ability that changes over time and varies across individuals. Here, we analyze data from over 11,500 9- to 10-year-olds to establish relationships between working memory, other cognitive abilities, and frontoparietal brain activity during a working memory challenge, but not during other cognitive challenges. Our results lay the groundwork for assessing longitudinal changes in working memory and predicting later academic and other real-world outcomes.
Copyright © 2020 the authors.

Entities:  

Keywords:  development; fMRI; frontoparietal; n-back; working memory

Mesh:

Year:  2020        PMID: 32451322      PMCID: PMC7314411          DOI: 10.1523/JNEUROSCI.2841-19.2020

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  101 in total

1.  Measuring the interrelations among multiple paradigms of visual attention: an individual differences approach.

Authors:  Liqiang Huang; Lei Mo; Ying Li
Journal:  J Exp Psychol Hum Percept Perform       Date:  2012-01-16       Impact factor: 3.332

2.  Effects of adult age on structural and operational capacities in working memory.

Authors:  T A Salthouse; R L Babcock; R J Shaw
Journal:  Psychol Aging       Date:  1991-03

3.  The NimStim set of facial expressions: judgments from untrained research participants.

Authors:  Nim Tottenham; James W Tanaka; Andrew C Leon; Thomas McCarry; Marcella Nurse; Todd A Hare; David J Marcus; Alissa Westerlund; B J Casey; Charles Nelson
Journal:  Psychiatry Res       Date:  2009-06-28       Impact factor: 3.222

Review 4.  The frontoparietal attention network of the human brain: action, saliency, and a priority map of the environment.

Authors:  Radek Ptak
Journal:  Neuroscientist       Date:  2011-06-02       Impact factor: 7.519

5.  Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets.

Authors:  Kwangsun Yoo; Monica D Rosenberg; Wei-Ting Hsu; Sheng Zhang; Chiang-Shan R Li; Dustin Scheinost; R Todd Constable; Marvin M Chun
Journal:  Neuroimage       Date:  2017-11-06       Impact factor: 6.556

6.  The relationship between working memory capacity and broad measures of cognitive ability in healthy adults and people with schizophrenia.

Authors:  Melissa K Johnson; Robert P McMahon; Benjamin M Robinson; Alexander N Harvey; Britta Hahn; Carly J Leonard; Steven J Luck; James M Gold
Journal:  Neuropsychology       Date:  2013-03       Impact factor: 3.295

7.  Comparison of human infants and rhesus monkeys on Piaget's AB task: evidence for dependence on dorsolateral prefrontal cortex.

Authors:  A Diamond; P S Goldman-Rakic
Journal:  Exp Brain Res       Date:  1989       Impact factor: 1.972

Review 8.  Visual working memory in early development: a developmental cognitive neuroscience perspective.

Authors:  Aaron T Buss; Shannon Ross-Sheehy; Greg D Reynolds
Journal:  J Neurophysiol       Date:  2018-06-13       Impact factor: 2.714

9.  Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals.

Authors:  Emily W Avery; Kwangsun Yoo; Monica D Rosenberg; Abigail S Greene; Siyuan Gao; Duk L Na; Dustin Scheinost; Todd R Constable; Marvin M Chun
Journal:  J Cogn Neurosci       Date:  2019-10-29       Impact factor: 3.225

10.  Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity.

Authors:  Emily S Finn; Xilin Shen; Dustin Scheinost; Monica D Rosenberg; Jessica Huang; Marvin M Chun; Xenophon Papademetris; R Todd Constable
Journal:  Nat Neurosci       Date:  2015-10-12       Impact factor: 24.884

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  8 in total

1.  Adolescent-specific memory effects: evidence from working memory, immediate and long-term recognition memory performance in 8-30 yr olds.

Authors:  Lena J Skalaban; Alexandra O Cohen; May I Conley; Qi Lin; Garrett N Schwartz; Nicholas A M Ruiz-Huidobro; Tariq Cannonier; Steven A Martinez; B J Casey
Journal:  Learn Mem       Date:  2022-08-11       Impact factor: 2.699

2.  Predicting multilingual effects on executive function and individual connectomes in children: An ABCD study.

Authors:  Young Hye Kwon; Kwangsun Yoo; Hillary Nguyen; Yong Jeong; Marvin M Chun
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-07       Impact factor: 12.779

3.  Prenatal cannabis exposure predicts attention problems, without changes on fMRI in adolescents.

Authors:  Leigh-Anne Cioffredi; Hillary Anderson; Hannah Loso; James East; Philip Nguyen; Hugh Garavan; Alexandra Potter
Journal:  Neurotoxicol Teratol       Date:  2022-03-18       Impact factor: 4.071

4.  Baseline brain function in the preadolescents of the ABCD Study.

Authors:  B Chaarani; S Hahn; N Allgaier; S Adise; M M Owens; A C Juliano; D K Yuan; H Loso; A Ivanciu; M D Albaugh; J Dumas; S Mackey; J Laurent; M Ivanova; D J Hagler; M D Cornejo; S Hatton; A Agrawal; L Aguinaldo; L Ahonen; W Aklin; A P Anokhin; J Arroyo; S Avenevoli; D Babcock; K Bagot; F C Baker; M T Banich; D M Barch; H Bartsch; A Baskin-Sommers; J M Bjork; D Blachman-Demner; M Bloch; R Bogdan; S Y Bookheimer; F Breslin; S Brown; F J Calabro; V Calhoun; B J Casey; L Chang; D B Clark; C Cloak; R T Constable; K Constable; R Corley; L B Cottler; S Coxe; R K Dagher; A M Dale; M Dapretto; R Delcarmen-Wiggins; A S Dick; E K Do; N U F Dosenbach; G J Dowling; S Edwards; T M Ernst; D A Fair; C C Fan; E Feczko; S W Feldstein-Ewing; P Florsheim; J J Foxe; E G Freedman; N P Friedman; S Friedman-Hill; B F Fuemmeler; A Galvan; D G Gee; J Giedd; M Glantz; P Glaser; J Godino; M Gonzalez; R Gonzalez; S Grant; K M Gray; F Haist; M P Harms; S Hawes; A C Heath; S Heeringa; M M Heitzeg; R Hermosillo; M M Herting; J M Hettema; J K Hewitt; C Heyser; E Hoffman; K Howlett; R S Huber; M A Huestis; L W Hyde; W G Iacono; M A Infante; O Irfanoglu; A Isaiah; S Iyengar; J Jacobus; R James; B Jean-Francois; T Jernigan; N R Karcher; A Kaufman; B Kelley; B Kit; A Ksinan; J Kuperman; A R Laird; C Larson; K LeBlanc; C Lessov-Schlagger; N Lever; D A Lewis; K Lisdahl; A R Little; M Lopez; M Luciana; B Luna; P A Madden; H H Maes; C Makowski; A T Marshall; M J Mason; J Matochik; B D McCandliss; E McGlade; I Montoya; G Morgan; A Morris; C Mulford; P Murray; B J Nagel; M C Neale; G Neigh; A Nencka; A Noronha; S J Nixon; C E Palmer; V Pariyadath; M P Paulus; W E Pelham; D Pfefferbaum; C Pierpaoli; A Prescot; D Prouty; L I Puttler; N Rajapaske; K M Rapuano; G Reeves; P F Renshaw; M C Riedel; P Rojas; M de la Rosa; M D Rosenberg; M J Ross; M Sanchez; C Schirda; D Schloesser; J Schulenberg; K J Sher; C Sheth; P D Shilling; W K Simmons; E R Sowell; N Speer; M Spittel; L M Squeglia; C Sripada; J Steinberg; C Striley; M T Sutherland; J Tanabe; S F Tapert; W Thompson; R L Tomko; K A Uban; S Vrieze; N E Wade; R Watts; S Weiss; B A Wiens; O D Williams; A Wilbur; D Wing; D Wolff-Hughes; R Yang; D A Yurgelun-Todd; R A Zucker; A Potter; H P Garavan
Journal:  Nat Neurosci       Date:  2021-06-07       Impact factor: 24.884

5.  Individual Differences in Cognitive Performance Are Better Predicted by Global Rather Than Localized BOLD Activity Patterns Across the Cortex.

Authors:  Weiqi Zhao; Clare E Palmer; Wesley K Thompson; Bader Chaarani; Hugh P Garavan; B J Casey; Terry L Jernigan; Anders M Dale; Chun Chieh Fan
Journal:  Cereb Cortex       Date:  2021-02-05       Impact factor: 4.861

6.  Neurophysiological Verbal Working Memory Patterns in Children: Searching for a Benchmark of Modality Differences in Audio/Video Stimuli Processing.

Authors:  Bianca Maria Serena Inguscio; Giulia Cartocci; Nicolina Sciaraffa; Claudia Nasta; Andrea Giorgi; Maria Nicastri; Ilaria Giallini; Antonio Greco; Fabio Babiloni; Patrizia Mancini
Journal:  Comput Intell Neurosci       Date:  2021-12-20

7.  Ultrasonic bone age fractionates cognitive abilities in adolescence.

Authors:  Ilona Kovács; Kristóf Kovács; Patrícia Gerván; Katinka Utczás; Gyöngyi Oláh; Zsófia Tróznai; Andrea Berencsi; Hanna Szakács; Ferenc Gombos
Journal:  Sci Rep       Date:  2022-03-29       Impact factor: 4.379

8.  Using functional connectivity models to characterize relationships between working and episodic memory.

Authors:  Gigi F Stark; Emily W Avery; Monica D Rosenberg; Abigail S Greene; Siyuan Gao; Dustin Scheinost; R Todd Constable; Marvin M Chun; Kwangsun Yoo
Journal:  Brain Behav       Date:  2021-06-17       Impact factor: 3.405

  8 in total

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