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      The orbitofrontal cortex: reward, emotion and depression

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          Abstract

          The orbitofrontal cortex in primates including humans is the key brain area in emotion, and in the representation of reward value and in non-reward, that is not obtaining an expected reward. Cortical processing before the orbitofrontal cortex is about the identity of stimuli, i.e. ‘what’ is present, and not about reward value. There is evidence that this holds for taste, visual, somatosensory and olfactory stimuli. The human medial orbitofrontal cortex represents many different types of reward, and the lateral orbitofrontal cortex represents non-reward and punishment. Not obtaining an expected reward can lead to sadness, and feeling depressed. The concept is advanced that an important brain region in depression is the orbitofrontal cortex, with depression related to over-responsiveness and over-connectedness of the non-reward-related lateral orbitofrontal cortex, and to under-responsiveness and under-connectivity of the reward-related medial orbitofrontal cortex. Evidence from large-scale voxel-level studies and supported by an activation study is described that provides support for this hypothesis. Increased functional connectivity of the lateral orbitofrontal cortex with brain areas that include the precuneus, posterior cingulate cortex and angular gyrus is found in patients with depression and is reduced towards the levels in controls when treated with medication. Decreased functional connectivity of the medial orbitofrontal cortex with medial temporal lobe areas involved in memory is found in patients with depression. Some treatments for depression may act by reducing activity or connectivity of the lateral orbitofrontal cortex. New treatments that increase the activity or connectivity of the medial orbitofrontal cortex may be useful for depression. These concepts, and that of increased activity in non-reward attractor networks, have potential for advancing our understanding and treatment of depression. The focus is on the orbitofrontal cortex in primates including humans, because of differences of operation of the orbitofrontal cortex, and indeed of reward systems, in rodents. Finally, the hypothesis is developed that the orbitofrontal cortex has a special role in emotion and decision-making in part because as a cortical area it can implement attractor networks useful in maintaining reward and emotional states online, and in decision-making.

          Abstract

          The orbitofrontal cortex is involved in emotion, reward value and reward-related decision-making. Rolls et al. describe how it implements these functions, and the effects of damage. In depression, the lateral orbitofrontal cortex has increased functional connectivity and sensitivity to non-reward; and the medial orbitofrontal cortex has decreased connectivity and sensitivity to reward.

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          Power failure: why small sample size undermines the reliability of neuroscience.

          A study with low statistical power has a reduced chance of detecting a true effect, but it is less well appreciated that low power also reduces the likelihood that a statistically significant result reflects a true effect. Here, we show that the average statistical power of studies in the neurosciences is very low. The consequences of this include overestimates of effect size and low reproducibility of results. There are also ethical dimensions to this problem, as unreliable research is inefficient and wasteful. Improving reproducibility in neuroscience is a key priority and requires attention to well-established but often ignored methodological principles.
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            The precuneus: a review of its functional anatomy and behavioural correlates.

            Functional neuroimaging studies have started unravelling unexpected functional attributes for the posteromedial portion of the parietal lobe, the precuneus. This cortical area has traditionally received little attention, mainly because of its hidden location and the virtual absence of focal lesion studies. However, recent functional imaging findings in healthy subjects suggest a central role for the precuneus in a wide spectrum of highly integrated tasks, including visuo-spatial imagery, episodic memory retrieval and self-processing operations, namely first-person perspective taking and an experience of agency. Furthermore, precuneus and surrounding posteromedial areas are amongst the brain structures displaying the highest resting metabolic rates (hot spots) and are characterized by transient decreases in the tonic activity during engagement in non-self-referential goal-directed actions (default mode of brain function). Therefore, it has recently been proposed that precuneus is involved in the interwoven network of the neural correlates of self-consciousness, engaged in self-related mental representations during rest. This hypothesis is consistent with the selective hypometabolism in the posteromedial cortex reported in a wide range of altered conscious states, such as sleep, drug-induced anaesthesia and vegetative states. This review summarizes the current knowledge about the macroscopic and microscopic anatomy of precuneus, together with its wide-spread connectivity with both cortical and subcortical structures, as shown by connectional and neurophysiological findings in non-human primates, and links these notions with the multifaceted spectrum of its behavioural correlates. By means of a critical analysis of precuneus activation patterns in response to different mental tasks, this paper provides a useful conceptual framework for matching the functional imaging findings with the specific role(s) played by this structure in the higher-order cognitive functions in which it has been implicated. Specifically, activation patterns appear to converge with anatomical and connectivity data in providing preliminary evidence for a functional subdivision within the precuneus into an anterior region, involved in self-centred mental imagery strategies, and a posterior region, subserving successful episodic memory retrieval.
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              Deciding advantageously before knowing the advantageous strategy.

              Deciding advantageously in a complex situation is thought to require overt reasoning on declarative knowledge, namely, on facts pertaining to premises, options for action, and outcomes of actions that embody the pertinent previous experience. An alternative possibility was investigated: that overt reasoning is preceded by a nonconscious biasing step that uses neural systems other than those that support declarative knowledge. Normal participants and patients with prefrontal damage and decision-making defects performed a gambling task in which behavioral, psychophysiological, and self-account measures were obtained in parallel. Normals began to choose advantageously before they realized which strategy worked best, whereas prefrontal patients continued to choose disadvantageously even after they knew the correct strategy. Moreover, normals began to generate anticipatory skin conductance responses (SCRs) whenever they pondered a choice that turned out to be risky, before they knew explicitly that it was a risky choice, whereas patients never developed anticipatory SCRs, although some eventually realized which choices were risky. The results suggest that, in normal individuals, nonconscious biases guide behavior before conscious knowledge does. Without the help of such biases, overt knowledge may be insufficient to ensure advantageous behavior.
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                Author and article information

                Journal
                Brain Commun
                Brain Commun
                braincomms
                Brain Communications
                Oxford University Press
                2632-1297
                2020
                16 November 2020
                16 November 2020
                : 2
                : 2
                : fcaa196
                Affiliations
                [1 ] Oxford Centre for Computational Neuroscience , Oxford, UK
                [2 ] Department of Computer Science, University of Warwick , Coventry CV4 7AL, UK
                [3 ] Institute of Science and Technology for Brain-inspired Intelligence, Fudan University , Shanghai 200433, China
                [4 ] School of Mathematical Sciences, School of Life Science and the Collaborative Innovation Center for Brain Science, Fudan University , Shanghai 200433, China
                [5 ] Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education , Shanghai 200433, China
                Author notes
                Correspondence to: Professor Edmund T. Rolls, Oxford Centre for Computational Neuroscience, Oxford, UK E-mail: Edmund.Rolls@ 123456oxcns.org , URL: https://www.oxcns.org
                Author information
                http://orcid.org/0000-0003-3025-1292
                Article
                fcaa196
                10.1093/braincomms/fcaa196
                7749795
                33364600
                5e0fa544-254c-467a-982c-ff07b769fa1c
                © The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 August 2020
                : 13 August 2020
                : 13 October 2020
                Page count
                Pages: 25
                Funding
                Funded by: National Key R&D Program of China;
                Award ID: 2019YFA0709502
                Award ID: 2018YFC1312904
                Funded by: Shanghai Municipal Science and Technology Major Project;
                Award ID: 2018SHZDZX01
                Funded by: National Natural Sciences Foundation of China;
                Award ID: 82071997
                Award ID: 81701773
                Funded by: Natural Science Foundation of Shanghai, DOI 10.13039/100007219;
                Award ID: 18ZR1404400
                Categories
                Review Article
                AcademicSubjects/MED00310
                AcademicSubjects/SCI01870

                depression,orbitofrontal cortex,reward,emotion,decision-making

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