Literature DB >> 34183692

The ecological validity of MET was favourable in sitting implicit sequence learning consciousness by eyes closed and eyes open resting states fMRI.

Jianxin Zhang1, Xiangpeng Wang2, Didi Zhang3, Antao Chen4, Dianzhi Liu5.   

Abstract

The current study made participants sit to complete both the implicit sequence learning and the inclusion/exclusion tasks with the latter just after the former, and used eyes-closed and eyes-open resting states fMRI and their difference to test the ecological validity of the mutually exclusive theory (MET) in implicit-sequence-learning consciousness. (1) The behavioral and neuroimaging data did not support the process dissociation procedure, but did fit well with the MET. The correct inclusion-task response and the incorrect exclusion-task response were mutually exclusive with each other. The relevant brain areas of the two responses were either different or opposite in the eyes-closed and eyes-open resting-states and their difference. (2) ALFFs in eyes-closed and eyes-open resting-states and their difference were diversely related to the four MET knowledge in implicit sequence learning. The relevant brain areas of the four MET knowledge in the eyes-closed and eyes-open resting-state were the cerebral cortex responsible for vision, attention, cognitive control and consciousness, which could be called the upper consciousness network, and there were more relevant brain areas in the eyes-open resting-state than in the eye-closed resting-state.The relevant brain areas in ALFFs-difference were the subcortical nucleus responsible for sensory awareness, memory and implicit sequence learning, which could be called the lower consciousness network. ALFFs-difference could predict the four MET knowledge as a quantitative transition sensitivity index from internal feeling to external stimulus. (3) The relevant resting-state brain areas of the four MET knowledge were either different (for most brain areas, if some brain areas were related to one MET knowledge, they were not related to the other three MET knowledge) or opposite (for some brain areas, if some brain areas were positively related to one MET knowledge, they were negatively related to other MET knowledge). With the participants' control/consciousness level increasing from no-acquisition to controllable knowledge step by step, the positively relevant resting-state brain areas of the four MET knowledge changed from some consciousness network and the motor network, to some consciousness network and the implicit learning network, and then to some consciousness network; and the negatively relevant resting-state brain areas of the four MET knowledge changed from some consciousness network and visual perception network, to some consciousness network, then to some consciousness network and the motor network, and then to some consciousness network, the implicit learning network, and the motor network. In conclusion, the current study found the ecological validity of the MET was good in sitting posture and eyes-closed and eyes-open resting-states, ALFFs in eyes-closed and eyes-open resting-states and their difference could predict the four MET knowledge diversely, and the four MET knowledge had different or opposite relevant resting-state brain areas.

Entities:  

Year:  2021        PMID: 34183692     DOI: 10.1038/s41598-021-92616-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  34 in total

Review 1.  Parallel contributions of cerebellar, striatal and M1 mechanisms to motor sequence learning.

Authors:  Virginia B Penhune; Christopher J Steele
Journal:  Behav Brain Res       Date:  2011-10-06       Impact factor: 3.332

2.  Involvement of the hippocampus in implicit learning of supra-span sequences: The case of sj.

Authors:  Sylvain Gagnon; Jonathan Foster; Josee Turcotte; Steven Jongenelis
Journal:  Cogn Neuropsychol       Date:  2004-12-01       Impact factor: 2.468

3.  Contingency awareness in human aversive conditioning involves the middle frontal gyrus.

Authors:  Ronald McKell Carter; John P O'Doherty; Ben Seymour; Christof Koch; Raymond J Dolan
Journal:  Neuroimage       Date:  2005-10-24       Impact factor: 6.556

4.  Fringe consciousness in sequence learning: the influence of individual differences.

Authors:  Elisabeth Norman; Mark C Price; Simon C Duff
Journal:  Conscious Cogn       Date:  2005-09-09

5.  Learning without consciously knowing: evidence from event-related potentials in sequence learning.

Authors:  Qiufang Fu; Guangyu Bin; Zoltan Dienes; Xiaolan Fu; Xiaorong Gao
Journal:  Conscious Cogn       Date:  2012-12-12

6.  Parallel brain systems for learning with and without awareness.

Authors:  P J Reber; L R Squire
Journal:  Learn Mem       Date:  1994 Nov-Dec       Impact factor: 2.460

7.  The role of the basal ganglia and its cortical connections in sequence learning: evidence from implicit and explicit sequence learning in Parkinson's disease.

Authors:  Leonora Wilkinson; Zunera Khan; Marjan Jahanshahi
Journal:  Neuropsychologia       Date:  2009-05-15       Impact factor: 3.139

8.  Memory and brain systems: 1969-2009.

Authors:  Larry R Squire
Journal:  J Neurosci       Date:  2009-10-14       Impact factor: 6.167

Review 9.  A quantitative meta-analysis and review of motor learning in the human brain.

Authors:  Robert M Hardwick; Claudia Rottschy; R Chris Miall; Simon B Eickhoff
Journal:  Neuroimage       Date:  2012-11-27       Impact factor: 6.556

10.  An electrophysiological signature of unconscious recognition memory.

Authors:  Joel L Voss; Ken A Paller
Journal:  Nat Neurosci       Date:  2009-02-08       Impact factor: 24.884

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.