The Neuroscience of Happiness: Difference between revisions

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Many possible definitions and approaches exist for investigating happiness. Most would agree that happiness remained difficult to define and challenging to measure, particularly due to its subjective nature. Historically, researchers primarily measured the experience of happiness through subjective self-report, as more objective measures such as psychophysiology and neuroscience have for the most part remained elusive. Yet, recent developments in neuroimaging and meta-analyses have begun to suggest that a number of areas in the brain exist that are consistently and differentially implicated in the emotional experience of happiness. Yet, these recent findings are not without controversy. Much debate exists around whether happiness can be examined as a discrete emotion or a part of a dimensional continuum. Further, the recent neuroscientific findings themselves have been challenged. Below is an overview of the recent findings, debate, and partial resolution.<sup>[[Can_Neuroscience_Teach_Us_About_Happiness?#References|[1]]]</sup>
Can neuroscience tell us anything about happiness? With so many people seemingly interested in how to be happy, great utility would exist in being able to measure the emotion objectively through neuroscientific methods. However, happiness is a nebulous concept that can mean many different things and has thus historically been difficult to connect to an objective underlying neurobiology. Scientists have primarily measured happiness up to now through subjective self-report across two aspects: hedonia (pleasure) and eudaimonia (meaning and a life well-lived).<sup>[[Can_Neuroscience_Teach_Us_About_Happiness?#References|[1]]]</sup>  Researchers also examine happiness in positive affect, analyzing both the state (including physiology and neural substrates) and the subjective experience of emotion (involving cognition).<sup>[[Can_Neuroscience_Teach_Us_About_Happiness?#References|[2]]]</sup>  While considerable progress has been made measuring these constructs of happiness through self-report, recent developments in neuroimaging and meta-analyses have begun to suggest progress in our ability to objectively measure the emotional experience of happiness. Yet, these recent findings are not without controversy. Much debate still exists around whether happiness can be examined as a discrete emotion or a part of a dimensional continuum. Researchers also contest whether happiness can be mapped onto the brain to a specific region or only examined as a part of a dynamic neural network. Below is an overview of the recent findings and debate. The article concludes by integrating these findings, discussing future directions, and taking the view that, unfortunately, we still have a ways to go before neuroscience can consistently identify states of happiness and meaningfully inform better paths toward its obtainment.  


=Lateralization Model=
=Categorical vs. Dimensional Approach=


=Dimensional vs. Categorical Approach=
=Dimensional vs. Categorical Approach=
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=References=
=References=
#This is a test
#Waterman, A. S. (1993). Two conceptions of happiness: Contrasts of personal expressiveness (eudaimonia) and hedonic enjoyment. ''Journal of Personality and Social Psychology, 64''(4), 678-691.
#Kringelbach, M. L., & Berridge, K. C. (2010). The neuroscience of happiness and pleasure. ''Social Research, 77''(2), 659-678.

Revision as of 21:22, 8 June 2013

Can neuroscience tell us anything about happiness? With so many people seemingly interested in how to be happy, great utility would exist in being able to measure the emotion objectively through neuroscientific methods. However, happiness is a nebulous concept that can mean many different things and has thus historically been difficult to connect to an objective underlying neurobiology. Scientists have primarily measured happiness up to now through subjective self-report across two aspects: hedonia (pleasure) and eudaimonia (meaning and a life well-lived).[1] Researchers also examine happiness in positive affect, analyzing both the state (including physiology and neural substrates) and the subjective experience of emotion (involving cognition).[2] While considerable progress has been made measuring these constructs of happiness through self-report, recent developments in neuroimaging and meta-analyses have begun to suggest progress in our ability to objectively measure the emotional experience of happiness. Yet, these recent findings are not without controversy. Much debate still exists around whether happiness can be examined as a discrete emotion or a part of a dimensional continuum. Researchers also contest whether happiness can be mapped onto the brain to a specific region or only examined as a part of a dynamic neural network. Below is an overview of the recent findings and debate. The article concludes by integrating these findings, discussing future directions, and taking the view that, unfortunately, we still have a ways to go before neuroscience can consistently identify states of happiness and meaningfully inform better paths toward its obtainment.

Categorical vs. Dimensional Approach

Dimensional vs. Categorical Approach

Dimensional view

Basic Emotions View

Brain Regions

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Nucleus Accumbens

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Orbito Frontal Cortex

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Right Superior Temporal Gyrus

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Left Anterior Cingulate Cortex

File:VACC.jpg
Sagittal view of a cluster in the ventral ACC

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Other candidates

Networks View

Conclusion

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References

  1. Waterman, A. S. (1993). Two conceptions of happiness: Contrasts of personal expressiveness (eudaimonia) and hedonic enjoyment. Journal of Personality and Social Psychology, 64(4), 678-691.
  2. Kringelbach, M. L., & Berridge, K. C. (2010). The neuroscience of happiness and pleasure. Social Research, 77(2), 659-678.