Intensive Working Memory Training Produces Functional Changes in Large-scale Frontoparietal Networks

被引:74
|
作者
Thompson, Todd W. [1 ,2 ]
Waskom, Michael L. [1 ,3 ]
Gabrieli, John D. E. [1 ]
机构
[1] MIT, Cambridge, MA 02139 USA
[2] Harvard Univ, Sch Med, Cambridge, MA 02138 USA
[3] Stanford Univ, Stanford, CA 94305 USA
关键词
IMPROVING FLUID INTELLIGENCE; SHORT-TERM-MEMORY; PREFRONTAL CORTEX; ORGANIZATION; ACTIVATION; PLASTICITY; SKILLS; TESTS;
D O I
10.1162/jocn_a_00916
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Working memory is central to human cognition, and intensive cognitive training has been shown to expand working memory capacity in a given domain. It remains unknown, however, how the neural systems that support working memory are altered through intensive training to enable the expansion of working memory capacity. We used fMRI to measure plasticity in activations associated with complex working memory before and after 20 days of training. Healthy young adults were randomly assigned to train on either a dual n-back working memory task or a demanding visuospatial attention task. Training resulted in substantial and task-specific expansion of dual n-back abilities accompanied by changes in the relationship between working memory load and activation. Training differentially affected activations in two large-scale frontoparietal networks thought to underlie working memory: the executive control network and the dorsal attention network. Activations in both networks linearly scaled with working memory load before training, but training dissociated the role of the two networks and eliminated this relationship in the executive control network. Load-dependent functional connectivity both within and between these two networks increased following training, and the magnitudes of increased connectivity were positively correlated with improvements in task performance. These results provide insight into the adaptive neural systems that underlie large gains in working memory capacity through training.
引用
收藏
页码:575 / 588
页数:14
相关论文
共 50 条
  • [11] Mechanisms of distributed working memory in a large-scale network of macaque neocortex
    Mejias, Jorge F.
    Wang, Xiao-Jing
    ELIFE, 2022, 11
  • [12] Spatiotemporal functional interactivity among large-scale brain networks
    Xu, Nan
    Doerschuk, Peter C.
    Keilholz, Shella D.
    Spreng, R. Nathan
    NEUROIMAGE, 2021, 227
  • [13] Shoulder Apprehension Impacts Large-Scale Functional Brain Networks
    Haller, S.
    Cunningham, G.
    Laedermann, A.
    Hofmeister, J.
    Van De Ville, D.
    Lovblad, K. -O.
    Hoffmeyer, P.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2014, 35 (04) : 691 - 697
  • [14] A Latent Factor Analysis of Working Memory Measures Using Large-Scale Data
    Waris, Otto
    Soveri, Anna
    Ahti, Miikka
    Hoffing, Russell C.
    Ventus, Daniel
    Jaeggi, Susanne M.
    Seitz, Aaron R.
    Laine, Matti
    FRONTIERS IN PSYCHOLOGY, 2017, 8
  • [15] Alteration of the large-scale white-matter functional networks in autism spectrum disorder
    Chen, Kai
    Zhuang, Wenwen
    Zhang, Yanfang
    Yin, Shunjie
    Liu, Yinghua
    Chen, Yuan
    Kang, Xiaodong
    Ma, Hailin
    Zhang, Tao
    CEREBRAL CORTEX, 2023, 33 (24) : 11582 - 11593
  • [16] Frontoparietal theta-gamma interactions track working memory enhancement with training and tDCS
    Jones, Kevin T.
    Johnson, Elizabeth L.
    Berryhill, Marian E.
    NEUROIMAGE, 2020, 211
  • [17] Video gaming and working memory: A large-scale cross-sectional correlative study
    Waris, Otto
    Jaeggi, Susanne M.
    Seitz, Aaron R.
    Lehtonen, Minna
    Soveri, Anna
    Lukasik, Karolina M.
    Soderstrom, Ulrika
    Hoffing, Russell A. Cohen
    Laine, Matti
    COMPUTERS IN HUMAN BEHAVIOR, 2019, 97 : 94 - 103
  • [18] Subjective Uncontrollability over Aversive Events Reduces Working Memory Performance and Related Large-Scale Network Interactions
    Wanke, Nadine
    Schwabe, Lars
    CEREBRAL CORTEX, 2020, 30 (05) : 3116 - 3129
  • [19] A dopamine gradient controls access to distributed working memory in the large-scale monkey cortex
    Froudist-Walsh, Sean
    Bliss, Daniel P.
    Ding, Xingyu
    Rapan, Lucija
    Niu, Meiqi
    Knoblauch, Kenneth
    Zilles, Karl
    Kennedy, Henry
    Palomero-Gallagher, Nicola
    Wang, Xiao-Jing
    NEURON, 2021, 109 (21) : 3500 - +
  • [20] A large-scale neural network model of the influence of neuromodulatory levels on working memory and behavior
    Avery, Michael C.
    Dutt, Nikil
    Krichmar, Jeffrey L.
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2013, 7