Combining fMRI and behavioral measures to examine the process of human learning

doi:10.1016/j.nlm.2013.09.012

Paper

DOI: 10.1016/j.nlm.2013.09.012

Combining fMRI and behavioral measures to examine the process of human learning

Published Mar 1, 2014 · E. A. Karuza, Lauren L. Emberson, R. Aslin

Neurobiology of Learning and Memory

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Abstract

Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

Study Snapshot

Key takeawayfMRI and behavioral measures can effectively investigate the process of human learning, but more research is needed to address challenges and improve understanding of the learning process.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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References

DOI: 10.2307/1422065

Human Learning

Human Learning Systems explores various learning theories and perspectives, highlighting connections between concepts and highlighting the complexity of human learning processes.

2020·616citations·Francis J. DeMatteo·Delivering Psycho-educational Evaluation Results to Parents

Delivering Psycho-educational Evaluation Results to Parents

DOI: 10.2307/1416495

The Behavior of Organisms: An Experimental Analysis

The Behavior of Organisms: An Experimental Analysis by online is a more convenient method to obtain the book.

2016·1879citations·F. Nowell Jones et al.

DOI: 10.1016/j.bandl.2012.11.007

The neural correlates of statistical learning in a word segmentation task: An fMRI study

Statistical learning in word segmentation involves activity in the pars opercularis and pars triangularis regions of the left inferior frontal gyrus.

2013·194citations·E. A. Karuza et al.·Brain and Language

Brain and Language

DOI: 10.1162/jocn_a_00259

Learning to Sample: Eye Tracking and fMRI Indices of Changes in Object Perception

Learning to segment occluded objects in a scene involves the hippocampus, BG, visual cortical, and fronto-parietal regions, with increased looking to the object during training.

2012·40citations·Lauren L. Emberson et al.·Journal of Cognitive Neuroscience

Journal of Cognitive Neuroscience

DOI: 10.1371/journal.pone.0042993

Brain Networks of Explicit and Implicit Learning

Explicit and implicit learning involve different brain networks, with explicit learners using the insula as a key mediator, and working memory differences impacting both types of sequence learning.

2012·126citations·Jing Yang et al.·PLoS ONE

PLoS ONE

Citations

DOI: 10.1162/nol_a_00156

The Domain-Specific Neural Basis of Auditory Statistical Learning in 5–7-Year-Old Children

Auditory statistical learning in developing children is constrained by domain-specific features, with frontal and temporal cortices showing significant activation for both linguistic and nonlinguistic regularities.

2024·0citations·Tengwen Fan et al.·Neurobiology of Language

Neurobiology of Language

DOI: 10.1177/09567976231177968

Visual Perception Is Highly Flexible and Context Dependent in Young Infants: A Case of Top-Down-Modulated Motion Perception

Infants' perception of motion direction can be flexibly shaped by learned predictive cues, suggesting a sophisticated and context-dependent brain in young infants.

2023·1citation·Naiqi G. Xiao et al.·Psychological Science

Psychological Science

DOI: 10.3389/fnsys.2023.1165307

Engaging distributed cortical and cerebellar networks through motor execution, observation, and imagery

A common global brain network is involved in both movement execution and motor observation or imagery, with task-dependent shifts in activation patterns.

2023·11citations·Julia U. Henschke et al.·Frontiers in Systems Neuroscience

Frontiers in Systems Neuroscience

DOI: 10.1101/2022.03.23.485430

Inter-brain coupling reflects disciplinary differences in real-world classroom learning

Inter-brain coupling in high school students reveals disciplinary differences in classroom learning, with Math students showing stronger connections to the class and Chinese students showing stronger connections to top students.

2022·13citations·Jingjing Chen et al.·NPJ Science of Learning

NPJ Science of Learning

DOI: 10.1088/1741-2552/ac7005

Designing and validating a robust adaptive neuromodulation algorithm for closed-loop control of brain states

The robust adaptive neuromodulation algorithm accurately tracks brain states, enables stable and robust control, and significantly outperforms state-of-the-art algorithms in closed-loop brain stimulation systems for treating brain disorders.

2022·9citations·Hao Fang et al.·Journal of Neural Engineering

Journal of Neural Engineering