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Trends Cogn Sci. 2018 Mar;22(3):241-257. doi: 10.1016/j.tics.2017.12.006. Epub 2018 Feb 20.

The Myth of Optimality in Clinical Neuroscience.

Author information

1
Department of Psychology, Yale University, New Haven, CT 06520, USA; Department of Psychiatry, Yale University, New Haven, CT 06511, USA. Electronic address: avram.holmes@yale.edu.
2
Department of Psychology, Yale University, New Haven, CT 06520, USA.

Abstract

Clear evidence supports a dimensional view of psychiatric illness. Within this framework the expression of disorder-relevant phenotypes is often interpreted as a breakdown or departure from normal brain function. Conversely, health is reified, conceptualized as possessing a single ideal state. We challenge this concept here, arguing that there is no universally optimal profile of brain functioning. The evolutionary forces that shape our species select for a staggering diversity of human behaviors. To support our position we highlight pervasive population-level variability within large-scale functional networks and discrete circuits. We propose that, instead of examining behaviors in isolation, psychiatric illnesses can be best understood through the study of domains of functioning and associated multivariate patterns of variation across distributed brain systems.

KEYWORDS:

brain evolution; clinical neuroscience; individual differences; phenomics; psychiatric illness risk; research domain criteria (RDoC)

PMID:
29475637
PMCID:
PMC5829018
DOI:
10.1016/j.tics.2017.12.006
[Indexed for MEDLINE]
Free PMC Article

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