A Systematic Review of MRI Neuroimaging for Education Research

Wu, Ching Lin; Lin, Tzung Jin; Chiou, Guo Li; Lee, Chia Ying; Luan, Hui; Tsai, Meng Jung; Potvin, Patrice; Tsai, Chin Chung

doi:10.3389/fpsyg.2021.617599

Cited by 16 publications

(8 citation statements)

References 50 publications

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“…Magnetic resonance imaging (MRI): non-invasive, non-ionizing, quantitative, and multi-parametric imaging technique (Liu et al, 2021). It includes functional MRI (fMRI) and structural MRI (sMRI) (Shenton et al, 2012;Wu et al, 2021). MCC-Net:…”

Section: Filament Tracingmentioning

confidence: 99%

Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders

Caznok Silveira,

Antunes,

Athié

et al. 2024

Front. Neurosci.

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The study of brain connectivity has been a cornerstone in understanding the complexities of neurological and psychiatric disorders. It has provided invaluable insights into the functional architecture of the brain and how it is perturbed in disorders. However, a persistent challenge has been achieving the proper spatial resolution, and developing computational algorithms to address biological questions at the multi-cellular level, a scale often referred to as the mesoscale. Historically, neuroimaging studies of brain connectivity have predominantly focused on the macroscale, providing insights into inter-regional brain connections but often falling short of resolving the intricacies of neural circuitry at the cellular or mesoscale level. This limitation has hindered our ability to fully comprehend the underlying mechanisms of neurological and psychiatric disorders and to develop targeted interventions. In light of this issue, our review manuscript seeks to bridge this critical gap by delving into the domain of mesoscale neuroimaging. We aim to provide a comprehensive overview of conditions affected by aberrant neural connections, image acquisition techniques, feature extraction, and data analysis methods that are specifically tailored to the mesoscale. We further delineate the potential of brain connectivity research to elucidate complex biological questions, with a particular focus on schizophrenia and epilepsy. This review encompasses topics such as dendritic spine quantification, single neuron morphology, and brain region connectivity. We aim to showcase the applicability and significance of mesoscale neuroimaging techniques in the field of neuroscience, highlighting their potential for gaining insights into the complexities of neurological and psychiatric disorders.

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Section: Filament Tracingmentioning

confidence: 99%

Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders

Caznok Silveira,

Antunes,

Athié

et al. 2024

Front. Neurosci.

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“…L'outil Go/Nogo, adapté par Cherine Fahim de Pierre Potvin (Potvin, 2015), et David Turbis (Turbis, 2013) (Bourassa, 2017;Fahim, 2022;Gold & Stoljar, 1999;Maier & Seligman, 2016). (Allen, 2003(Allen, , 2020Groat & Allen, 2011;Stein & Allen, 2007;Wu et al, 2021). L'auto-observation et le pas de recul appellent l'activation du cortex frontal, puisqu'ils utilisent la mentalisation comme base de traitement de l'information.…”

Section: Pourquoi Go/nogo ?unclassified

L’impuissance apprise ou Learned Helplessness au service de l’apprentissage : Suis-je capable ?

Mühlemann¹

2022

Cortica

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Le but de ce “Cortica Incubateur” est de sensibiliser les intervenants psycho-sociaux, formateurs d’adultes ainsi que les apprenants à la compréhension et aux conséquences de l’impuissance apprise qui les limitent dans leurs comportements de manière inconsciente en générant un sentiment de résignation. Je souhaite développer un projet afin de le mettre en pratique par la suite : Outiller ces professionnels ainsi que les apprenants à travers les ateliers Go/Nogo. Le message à faire passer est, « non seulement tu peux faire des erreurs, mais en plus elles sont nécessaires pour apprendre. Le pouvoir d’apprendre de celles-ci est de s’auto-observer, pratiquer le pas de recul et prendre le contrôle de la situation ». L’impact souhaité auprès des intervenants ainsi que des apprenants est d’atteindre une prise de conscience; leur permettre de développer des attitudes favorables à l’apprentissage ; réduire les peurs ou les angoisses qui en découlent ; surmonter leurs biais et distorsions cognitifs ; développer leur motivation à l’apprentissage et repousser leurs limites.

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“…Moreover, it empowers individuals to reach their full potential, thereby contributing to societal progress and innovation through the cultivation of a diverse, skilled and adaptable workforce. Neuroimaging techniques that have been traditionally used in the medical sector are increasingly being applied to study the neurobiology of learning ( 15 ). By combining non-invasive, portable, wireless, and more and more handheld and relative low-cost features, technologies like electroencephalography and functional near-infrared spectroscopy are making possible to monitor learning in real time with increasing ecological validity, i.e.…”

Section: Introductionmentioning

confidence: 99%

The Brain Economy: Advancing Brain Science to Better Understand the Modern Economy

Eyre,

Hynes,

Ayadi

et al. 2024

MJMS

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The coming years are likely to be turbulent due to a myriad of factors or polycrisis, including an escalation in climate extremes, emerging public health threats, weak productivity, increases in global economic instability and further weakening in the integrity of global democracy. These formidable challenges are not exogenous to the economy but are in some cases generated by the system itself. They can be overcome, but only with far-reaching changes to global economics. Our current socio-economic paradigm is insufficient for addressing these complex challenges, let alone sustaining human development, well-being and happiness. To support the flourishing of the global population in the age of polycrisis, we need a novel, person-centred and collective paradigm. The brain economy leverages insights from neuroscience to provide a novel way of centralising the human contribution to the economy, how the economy in turn shapes our lives and positive feedbacks between the two. The brain economy is primarily based on Brain Capital, an economic asset integrating brain health and brain skills, the social, emotional, and the diversity of cognitive brain resources of individuals and communities. People with healthy brains are essential to navigate increasingly complex systems. Policies and investments that improve brain health and hence citizens’ cognitive functions and boost brain performance can increase productivity, stimulate greater creativity and economic dynamism, utilise often underdeveloped intellectual resources, afford social cohesion, and create a more resilient, adaptable and sustainability-engaged population.

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A Systematic Review of MRI Neuroimaging for Education Research

Cited by 16 publications

References 50 publications

Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders

Between neurons and networks: investigating mesoscale brain connectivity in neurological and psychiatric disorders

L’impuissance apprise ou Learned Helplessness au service de l’apprentissage : Suis-je capable ?

The Brain Economy: Advancing Brain Science to Better Understand the Modern Economy

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