Multi-Domain Training Enhances Attentional Control

被引:30
|
作者
Binder, Julia C. [1 ,2 ]
Martin, Mike [1 ,2 ]
Zollig, Jacqueline [3 ,4 ]
Rocke, Christina [2 ,4 ]
Merillat, Susan [2 ,4 ]
Eschen, Anne [2 ,4 ]
Jancke, Lutz [5 ]
Shing, Yee Lee [6 ,7 ]
机构
[1] Univ Zurich, Dept Psychol, INAPIC, CH-8006 Zurich, Switzerland
[2] Univ Zurich, URPP Dynam Hlth Aging, CH-8006 Zurich, Switzerland
[3] Univ Zurich, Dept Psychol, CH-8006 Zurich, Switzerland
[4] Univ Zurich, INAPIC, CH-8006 Zurich, Switzerland
[5] Univ Zurich, Ctr Integrat Human Physiol, URPP Dynam Hlth Aging, Dept Psychol,INAPIC, CH-8006 Zurich, Switzerland
[6] Univ Stirling, Dept Psychol, Stirling FK9 4LA, Scotland
[7] Max Planck Inst Human Dev, Ctr Lifespan Psychol, Berlin, Germany
关键词
cognitive training; healthy old age; iPad; multi-domain training; transfer; BASE-LINE PERFORMANCE; WORKING-MEMORY; OLDER-ADULTS; COGNITIVE REHABILITATION; INDIVIDUAL-DIFFERENCES; EXECUTIVE-CONTROL; DUAL-TASK; BRAIN PLASTICITY; AGE-DIFFERENCES; LIFE-SPAN;
D O I
10.1037/pag0000081
中图分类号
R4 [临床医学]; R592 [老年病学];
学科分类号
1002 ; 100203 ; 100602 ;
摘要
Multi-domain training potentially increases the likelihood of overlap in processing components with transfer tasks and everyday life, and hence is a promising training approach for older adults. To empirically test this, 84 healthy older adults aged 64 to 75 years were randomly assigned to one of three single-domain training conditions (inhibition, visuomotor function, spatial navigation) or to the simultaneous training of all three cognitive functions (multi-domain training condition). All participants trained on an iPad at home for 50 training sessions. Before and after the training, and at a 6-month follow-up measurement, cognitive functioning and training transfer were assessed with a neuropsychological test battery including tests targeting the trained functions (near transfer) and transfer to executive functions (far transfer: attentional control, working memory, speed). Participants in all four training groups showed a linear increase in training performance over the 50 training sessions. Using a latent difference score model, the multi-domain training group, compared with the single-domain training groups, showed more improvement on the far transfer attentional control composite. Individuals with initially lower baseline performance showed higher training-related improvements, indicating that training compensated for lower initial cognitive performance. At the 6-month follow-up, performance on the cognitive test battery remained stable. This is one of the first studies to investigate systematically multi-domain training including comparable single-domain training conditions. Our findings suggest that multi-domain training enhances attentional control involved in handling several different tasks at the same time, an aspect in everyday life that is particularly challenging for older people.
引用
收藏
页码:390 / 408
页数:19
相关论文
共 50 条
  • [1] Semi-supervised single- and multi-domain regression with multi-domain training
    Michaeli, Tomer
    Eldar, Yonina C.
    Sapiro, Guillermo
    INFORMATION AND INFERENCE-A JOURNAL OF THE IMA, 2012, 1 (01) : 68 - 97
  • [2] Adversarial Training for Multi-domain Speaker Recognition
    Wang, Qing
    Rao, Wei
    Guo, Pengcheng
    Xie, Lei
    2021 12TH INTERNATIONAL SYMPOSIUM ON CHINESE SPOKEN LANGUAGE PROCESSING (ISCSLP), 2021,
  • [3] MULTI-DOMAIN DIALOGUE SUCCESS CLASSIFIERS FOR POLICY TRAINING
    Vandyke, David
    Su, Pei-Hao
    Gasic, Milica
    Mrksic, Nikola
    Wen, Tsung-Hsien
    Young, Steve
    2015 IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING (ASRU), 2015, : 763 - 770
  • [4] Moisture migration and control in multi-domain foods
    Labuza, T.P.
    Hyman, C.R.
    Trends in Food Science and Technology, 1998, 9 (02): : 47 - 55
  • [5] Moisture migration and control in multi-domain foods
    Labuza, TP
    Hyman, CR
    TRENDS IN FOOD SCIENCE & TECHNOLOGY, 1998, 9 (02) : 47 - 55
  • [6] Theoretical development of multi-domain command and control
    Crane, Jason
    Hussein, Islam
    Mainieri, Ronnie
    Weis, Lorraine
    ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS, 2019, 11006
  • [7] Multi-domain training in healthy old age: Hotel Plastisse as an iPad-based serious game to systematically compare multi-domain and single-domain training
    Binder, Julia C.
    Zoellig, Jacqueline
    Eschen, Anne
    Merillat, Susan
    Roecke, Christina
    Schoch, Sarah F.
    Jaencke, Lutz
    Martin, Mike
    FRONTIERS IN AGING NEUROSCIENCE, 2015, 7
  • [8] Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
    Wang, Ximei
    Pan, Junwei
    Guo, Xingzhuo
    Liu, Dapeng
    Jiang, Jie
    THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 14, 2024, : 15644 - 15652
  • [9] On the Benefits of Multi-Domain Congestion Control in LTE Networks
    Kramer, Zsolt
    Molnar, Sandor
    Solymos, Szilard
    Mihaly, Attila
    2019 IEEE 24TH INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (IEEE CAMAD), 2019,
  • [10] A CONTROL FRAMEWORK OF SURVIVABLE MULTI-DOMAIN OPTICAL NETWORKS
    He, He
    Mouftah, Hussein
    Wu, Jing
    2011 24TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2011, : 54 - 57