Literature DB >> 35902472

Cerebellum and Emotion in Morality.

Hyemin Han1.   

Abstract

In this chapter, I examined the relationship between the cerebellum, emotion, and morality with evidence from large-scale neuroimaging data analysis. Although the aforementioned relationship has not been well studied in neuroscience, recent studies have shown that the cerebellum is closely associated with emotional and social processes at the neural level. Also, debates in the field of moral philosophy, psychology, and neuroscience have supported the importance of emotion in moral functioning. Thus, I explored the potentially important but less-studied topic with NeuroSynth, a tool for large-scale brain image analysis, while addressing issues associated with reverse inference. The result from analysis demonstrated that brain regions in the cerebellum, the right Crus I and Crus II in particular, were specifically associated with morality in general. I discussed the potential implications of the finding based on clinical and functional neuroimaging studies of the cerebellum, emotional functioning, and neural networks for diverse psychological processes.
© 2022. The Author(s), under exclusive license to Springer Nature Switzerland AG.

Entities:  

Keywords:  Bayesian inference; Cerebellum; Default mode network; Emotion; Executive network; Meta-analysis; Morality; NeuroSynth; Reverse inference; fMRI

Mesh:

Year:  2022        PMID: 35902472     DOI: 10.1007/978-3-030-99550-8_12

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   3.650


  54 in total

1.  The defining issues test and the four component model: contributions to professional education.

Authors:  Muriel J Bebeau
Journal:  J Moral Educ       Date:  2002-09

2.  Morality: incomplete without the cerebellum?

Authors:  Asli Demirtas-Tatlidede; Jeremy D Schmahmann
Journal:  Brain       Date:  2013-05-03       Impact factor: 13.501

3.  The contribution of emotion and cognition to moral sensitivity: a neurodevelopmental study.

Authors:  Jean Decety; Kalina J Michalska; Katherine D Kinzler
Journal:  Cereb Cortex       Date:  2011-05-26       Impact factor: 5.357

4.  Consensus Paper: Cerebellum and Emotion.

Authors:  M Adamaszek; F D'Agata; R Ferrucci; C Habas; S Keulen; K C Kirkby; M Leggio; P Mariën; M Molinari; E Moulton; L Orsi; F Van Overwalle; C Papadelis; A Priori; B Sacchetti; D J Schutter; C Styliadis; J Verhoeven
Journal:  Cerebellum       Date:  2017-04       Impact factor: 3.847

5.  Common and distinct neural networks involved in fMRI studies investigating morality: an ALE meta-analysis.

Authors:  Robert Eres; Winnifred R Louis; Pascal Molenberghs
Journal:  Soc Neurosci       Date:  2017-07-27       Impact factor: 2.083

6.  Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation.

Authors:  Simon B Eickhoff; Danilo Bzdok; Angela R Laird; Christian Roski; Svenja Caspers; Karl Zilles; Peter T Fox
Journal:  Neuroimage       Date:  2011-05-14       Impact factor: 6.556

7.  The salience network causally influences default mode network activity during moral reasoning.

Authors:  Winston Chiong; Stephen M Wilson; Mark D'Esposito; Andrew S Kayser; Scott N Grossman; Pardis Poorzand; William W Seeley; Bruce L Miller; Katherine P Rankin
Journal:  Brain       Date:  2013-04-09       Impact factor: 13.501

8.  Parsing the neural correlates of moral cognition: ALE meta-analysis on morality, theory of mind, and empathy.

Authors:  Danilo Bzdok; Leonhard Schilbach; Kai Vogeley; Karla Schneider; Angela R Laird; Robert Langner; Simon B Eickhoff
Journal:  Brain Struct Funct       Date:  2012-01-24       Impact factor: 3.270

9.  Enhancing the Temporal Complexity of Distributed Brain Networks with Patterned Cerebellar Stimulation.

Authors:  Faranak Farzan; Alvaro Pascual-Leone; Jeremy D Schmahmann; Mark Halko
Journal:  Sci Rep       Date:  2016-03-24       Impact factor: 4.379

10.  The relation between statistical power and inference in fMRI.

Authors:  Henk R Cremers; Tor D Wager; Tal Yarkoni
Journal:  PLoS One       Date:  2017-11-20       Impact factor: 3.240

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