Higher-order awareness, misrepresentation and function

Conscious mental states are states we are in some way aware of. I compare higher-order theories of consciousness, which explain consciousness by appeal to such higher-order awareness (HOA), and first-order theories, which do not, and I argue that higher-order theories have substantial explanatory advantages. The higher-order nature of our awareness of our conscious states suggests an analogy with the metacognition that figures?in the regulation of psychological processes and behaviour. I argue that, although both consciousness and metacognition involve higher-order psychological states, they have little more in common. One thing they do share is the possibility of misrepresentation; just as metacognitive processing can misrepresent one's cognitive states and abilities, so the HOA in virtue of which one's mental states are conscious can, and sometimes does, misdescribe those states. A striking difference between the two, however, has to do with utility for psychological processing. Metacognition has considerable benefit for psychological processing; in contrast, it is unlikely that there is much, if any, utility to mental states' being conscious over and above the utility those states have when they are not conscious.     

Biosemantics: An Evolutionary Theory of Thought

Evolutionary theory has an unexpected application in philosophy of mind, where it is used by the so-called biosemantic program—also called the teleosemantic program—to account for the representational capacities of neural states and processes in a way that conforms to an overarching scientific naturalism. Biosemantic theories account for the representational capacities of neural states and processes by appealing in particular to their evolutionary function, as that function is determined by a process of natural selection. As a result, biosemantic theories have distinct advantages over other theories of mental representation—e.g., Fodor’s causal theory. Foremost among the advantages of biosemantic theories is their ability to account for the possibility of mental misrepresentation.     

Sexual selection for moral virtues

Moral evolution theories have emphasized kinship, reciprocity, group selection, and equilibrium selection. Yet, moral virtues are also sexually attractive. Darwin suggested that sexual attractiveness may explain many aspects of human morality. This paper updates his argument by integrating recent research on mate choice, person perception, individual differences, costly signaling, and virtue ethics. Many human virtues may have evolved in both sexes through mutual mate choice to advertise good genetic quality, parenting abilities, and/or partner traits. Such virtues may include kindness, fidelity, magnanimity, and heroism, as well as quasi-moral traits like conscientiousness, agreeableness, mental health, and intelligence. This theory leads to many testable predictions about the phenotypic features, genetic bases, and social-cognitive responses to human moral virtues.     

Increased Training Intensity Induces Proper Membrane Localization of Actin Remodeling Proteins in the Hippocampus Preventing Cognitive Deficits: Implications for Fragile X Syndrome

Behavioral intervention therapy has proven beneficial in the treatment of autism and intellectual disabilities (ID), raising the possibility of certain changes in molecular mechanisms activated by these interventions that may promote learning. Fragile X syndrome (FXS) is a neurodevelopmental disorder characterized by autistic features and intellectual disability and can serve as a model to examine mechanisms that promote learning. FXS results from mutations in the fragile X mental retardation 1 gene (Fmr1) that prevents expression of the Fmr1 protein (FMRP), a messenger RNA (mRNA) translation regulator at synapses. Among many other functions, FMRP organizes a complex with the actin cytoskeleton-regulating small Rho GTPase Rac1. As in humans, Fmr1 KO mice lacking FMRP display autistic-like behaviors and deformities of actin-rich synaptic structures in addition to impaired hippocampal learning and synaptic plasticity. These features have been previously linked to proper function of actin remodeling proteins that includes Rac1. An important step in Rac1 activation and function is its translocation to the membrane, where it can influence synaptic actin cytoskeleton remodeling during hippocampus-dependent learning. Herein, we report that Fmr1 KO mouse hippocampus exhibits increased levels of membrane-bound Rac1, which may prevent proper learning-induced synaptic changes. We also determine that increasing training intensity during fear conditioning (FC) training restores contextual memory in Fmr1 KO mice and reduces membrane-bound Rac1 in Fmr1 KO hippocampus. Increased training intensity also results in normalized long-term potentiation in hippocampal slices taken from Fmr1 KO mice. These results point to interventional treatments providing new therapeutic options for FXS-related cognitive dysfunction.     

Learning Disorders as a School Health Problem—Neurological and Psychiatric Aspects

Broadened concepts of intellectual functions have shown that many varieties of mental subnormality may be preventable or subject to improvement with proper treatment. Many types of neurologic dysfunction are accompanied by learning disorders based on specific intellectual deficits.A more refined delineation of the higher cerebral functions of each child with a learning disorder provides the basis for improved specific remedial educational techniques. Such detailed assessment of higher functions of the nervous system can be greatly enhanced by the appropriate special evaluations carried out by well trained psychologists, speech pathologists and educational consultants, working in cooperation with physicians.The varieties of adjustment problems of children and emotional impact of a learning disorder should be recognized as early as possible and treated appropriately. Motor and perceptual-motor therapies may have limited value in some cases but may be harmful if indiscriminately applied. Psychotropic drugs have a relatively limited place in the management of learning disorders but may be immensely valuable in some cases by helping to control specific behavior problems which interfere with learning processes.Physicians have a major responsibility to provide help and leadership in dealing with learning disorders.     

Soft selective sweeps: Addressing new definitions,evaluating competing models,and interpreting empirical outliers

The ability to accurately identify and quantify genetic signatures associated with soft selective sweeps based on patterns of nucleotide variation has remained controversial. We here provide counter viewpoints to recent publications in PLOS Genetics that have argued not only for the statistical identifiability of soft selective sweeps, but also for their pervasive evolutionary role in both Drosophila and HIV populations. We present evidence that these claims owe to a lack of consideration of competing evolutionary models, unjustified interpretations of empirical outliers, as well as to new definitions of the processes themselves. Our results highlight the dangers of fitting evolutionary models based on hypothesized and episodic processes without properly first considering common processes and, more generally, of the tendency in certain research areas to view pervasive positive selection as a foregone conclusion.

“We would not object so strenuously to the adaptationist programme if its invocation, in any particular case, could lead in principle to its rejection for want of evidence. We might still view it as restrictive and object to its status as an argument of first choice. But if it could be dismissed after failing some explicit test, then alternatives would get their chance. Unfortunately, a common procedure among evolutionists does not allow such definable rejection for two reasons. First, the rejection of one adaptive story usually leads to its replacement by another, rather than to a suspicion that a different kind of explanation might be required. Secondly, the criteria for acceptance of a story are so loose that many pass without proper confirmation. Often, evolutionists use consistency with natural selection as the sole criterion and consider their work done when they concoct a plausible story.” - Gould and Lewontin, 1979 [1]

     

Interrelated mechanisms in reward and learning

This brief review is focused on recent work in our laboratory, in which we assayed nicotine-induced neurotransmitter changes, comparing it to changes induced by other compounds and examined the receptor systems and their interactions that mediate the changes. The primary aim of our studies is to examine the role of neurotransmitter changes in reward and learning processes. We find that these processes are interlinked and interact in that reward-addiction mechanisms include processes of learning and learning-memory mechanisms include processes of reward. In spite being interlinked, the two processes have different functions and distinct properties and our long-term aim is to identify factors that control these processes and the differences among the processes. Here, we discuss reward processes, which we define as changes examined after administration of nicotine, cocaine or food, each of which induces changes in neurotransmitter levels and functions in cognitive areas as well as in reward areas. The changes are regionally heterogeneous and are drug or stimulus specific. They include changes in the transmitters assayed (catecholamines, amino acids, and acetylcholine) and also in their metabolites, hence, in addition to release, uptake and metabolism are involved. Many receptors modulate the response with direct and indirect effects. The involvement of many transmitters, receptors and their interactions and the stimulus specificity of the response indicated that each function, reward and learning represents the involvement of different pattern of changes with a different stimulus, therefore, many different learning and many different reward processes are active, which allow stimulus specific responses. The complex pattern of reward-induced changes in neurotransmitters is only a part of the multiple changes observed, but one which has a crucial and controlling function.     

Guidance and Justification in Particularistic Ethics

This paper argues that, contrary to a common line of criticism followed by scholars such as Helga Kuhse, a particularistic version of virtue ethics properly elaborated, can provide sound moral guidance and a satisfactory account for moral justification of our opinions regarding, for instance, health care practice. In the first part of the paper, three criteria for comparing normative theories with respect to action-guiding power are outlined, and it is argued that the presented particularistic version of virtue ethics actually can provide more guidance than the universalistic theories favoured by Kuhse and others. In the second part of the paper it is claimed that universalist normative theories have serious problems accounting for the role that moral principles are supposed to play in the justification, of moral opinions, whereas the present version of virtue ethics accommodates a plausible alternative idea of justification without invoking moral principles or eschewing objectivity.     

Localization of neural efficiency of the mathematically gifted brain through a feature subset selection method

Based on the neural efficiency hypothesis and task-induced EEG gamma-band response (GBR), this study investigated the brain regions where neural resource could be most efficiently recruited by the math-gifted adolescents in response to varying cognitive demands. In this experiment, various GBR-based mental states were generated with three factors (level of mathematical ability, task complexity, and short-term learning) modulating the level of neural activation. A feature subset selection method based on the sequential forward floating search algorithm was used to identify an “optimal” combination of EEG channel locations, where the corresponding GBR feature subset could obtain the highest accuracy in discriminating pairwise mental states influenced by each experiment factor. The integrative results from multi-factor selections suggest that the right-lateral fronto–parietal system is highly involved in neural efficiency of the math-gifted brain, primarily including the bilateral superior frontal, right inferior frontal, right-lateral central and right temporal regions. By means of the localization method based on single-trial classification of mental states, new GBR features and EEG channel-based brain regions related to mathematical giftedness were identified, which could be useful for the brain function improvement of children/adolescents in mathematical learning through brain–computer interface systems.     

Erythropoietin improves operant conditioning and stability of cognitive performance in mice

Background  

Executive functions, learning and attention are imperative facets of cognitive performance, affected in many neuropsychiatric disorders. Recently, we have shown that recombinant human erythropoietin improves cognitive functions in patients with chronic schizophrenia, and that it leads in healthy mice to enhanced hippocampal long-term potentiation, an electrophysiological correlate of learning and memory. To create an experimental basis for further mechanistic insight into erythropoietin-modulated cognitive processes, we employed the Five Choice Serial Reaction Time Task. This procedure allows the study of the effects of erythropoietin on discrete processes of learning and attention in a sequential fashion.     

A genome-wide detection of selection signatures in conserved and commercial pig breeds maintained in Poland

Background

Identification of selection signatures can provide a direct insight into the mechanism of artificial selection and allow further disclosure of the candidate genes related to the animals’ phenotypic variation. Domestication and subsequent long-time selection have resulted in extensive phenotypic changes in domestic pigs, involving a number of traits, like behavior, body composition, disease resistance, reproduction and coat color. In this study, based on genotypes obtained from PorcineSNP60 Illumina assay we attempt to detect both diversifying and within-breed selection signatures in 530 pigs belonging to four breeds: Polish Landrace, Pu?awska, Z?otnicka White and Z?otnicka Spotted, of which the last three are a subject of conservative breeding and substantially represent the native populations.

Results

A two largely complementary statistical methods were used for signatures detection, including: pairwise F_ST and relative extended haplotype homozygosity (REHH) test. Breed-specific diversifying selection signals included several genes involved in processes connected with fertility, growth and metabolism which are potentially responsible for different phenotypes of the studied breeds. The diversifying selection signals also comprised PPARD gene that was previously found to have a large effect on the shape of the external ear in pigs or two genes encoding neuropeptide Y receptors (Y2 and Y5) involved in fat deposition and stress response which are important features differentiating the studied breeds. REHH statistics allowed detecting several within-breed selection signatures overlapping with genes connected with a range of functions including, among others: metabolic pathways, immune system response or implantation and development of the embryo.

Conclusions

The study provides many potential candidate genes with implication for traits selected in the individual breeds and gives strong basis for further studies aiming at identification of sources of variation among the studied pig breeds.

     

Teleosemantics Without Natural Selection

Ruth Millikan and others advocate theories which attempt to naturalize wide mental content (e.g. beliefs’ truth conditions) in terms of function in the teleological sense, where a function is constituted in part by facts concerning past natural selection involving ancestors of a current entity. I argue that it is a mistake to base content on selection. Content should instead be based on functions which though historical, do not involve selection. I sketch an account of such functions.     

Reduced learning ability as a consequence of evolutionary adaptation to nutritional stress in Drosophila melanogaster

Abstract 1. Dietary conditions affect cognitive abilities of many species, but it is unclear to what extent this physiological effect translates into an evolutionary relationship. 2. A reduction of competitive ability under nutritional stress has been reported as a correlated response to selection for learning ability in Drosophila melanogaster. Here we test whether the reverse holds as well, i.e. whether an evolutionary adaptation to poor food conditions leads to a decrease in learning capacities. 3. Populations of D. melanogaster were: (i) not subject to selection (control), (ii) selected for improved learning ability, (iii) selected for survival and fast development on poor food, or (iv) subject to both selection regimes. 4. There was no detectable response to selection for learning ability. 5. Selection on poor food led to higher survival, faster development and smaller adult size as a direct response, and to reduced learning ability as a correlated response. This study supports the hypothesis that adaptation to poor nutrition is likely to trade off with the evolution of improved learning ability.     

Punctuated equilibrium and species selection: what does it mean for one theory to suggest another?

McMullin (In: Cohen et al. (eds.) Essays in memory of Imre Lakatos, 1976, In: Leplin (ed.) Scientific realism, 1984) argues that fertility is a theoretical virtue. He thinks of a fertile theory as one whose central metaphors suggest new directions for theoretical development, where those new developments help solve previous problems and anomalies. Nolan (Br J Philos Sci 50:265–282, 1999) argues that fertility in this sense is not a distinctive theoretical virtue in its own right. Rather, Nolan thinks that fertility is reducible to predictive novelty. This article explores the relationship between punctuated equilibrium (PE) and species selection in the light of this philosophical debate about the nature of theoretical fertility, or suggestiveness. I argue that (1) PE suggests, but does not imply, that species selection is a mechanism of evolution; (2) the suggestiveness in this case is not reducible to predictive novelty; (3) species selection is not a metaphorical extension of PE; and (4) getting clear about the way in which PE suggests species selection can help solve a puzzle about punctuated equilibrium. The puzzle is that Eldredge and Gould’s initial presentation of PE seems to presuppose a minimalist or extrapolationist view of macroevolution, even though many scientists take PE to challenge that minimalist view.     

Top-down anticipatory control in prefrontal cortex

Summary The prefrontal cortex has been implicated in a wide variety of executive functions, many involving some form of anticipatory attention. Anticipatory attention involves the pre-selection of specific sensory circuits to allow fast and efficient stimulus processing and a subsequently fast and accurate response. It is generally agreed that the prefrontal cortex plays a critical role in anticipatory attention by exerting a facilitatory “top-down” bias on sensory pathways. In this paper we review recent results indicating that synchronized activity in prefrontal cortex, during anticipation of visual stimulus, can predict features of early visual stimulus processing and behavioral response. Although the mechanisms involved in anticipatory attention are still largely unknown, we argue that the synchronized oscillation in prefrontal cortex is a plausible candidate during sustained visual anticipation. We further propose a learning hypothesis that explains how this top-down anticipatory control in prefrontal cortex is learned based on accumulated prior experience by adopting a Temporal Difference learning algorithm.     

Metacognition and mentalizing are associated with distinct neural representations of decision uncertainty

Metacognition and mentalizing are both associated with meta-level mental state representations. Conventionally, metacognition refers to monitoring one’s own cognitive processes, while mentalizing refers to monitoring others’ cognitive processes. However, this self-other dichotomy is insufficient to delineate the 2 high-level mental processes. We here used functional magnetic resonance imaging (fMRI) to systematically investigate the neural representations of different levels of decision uncertainty in monitoring different targets (the current self, the past self [PS], and others) performing a perceptual decision-making task. Our results reveal diverse formats of internal mental state representations of decision uncertainty in mentalizing, separate from the associations with external cue information. External cue information was commonly represented in the right inferior parietal lobe (IPL) across the mentalizing tasks. However, the internal mental states of decision uncertainty attributed to others were uniquely represented in the dorsomedial prefrontal cortex (dmPFC), rather than the temporoparietal junction (TPJ) that also represented the object-level mental states of decision inaccuracy attributed to others. Further, the object-level and meta-level mental states of decision uncertainty, when attributed to the PS, were represented in the precuneus and the lateral frontopolar cortex (lFPC), respectively. In contrast, the dorsal anterior cingulate cortex (dACC) represented currently experienced decision uncertainty in metacognition, and also uncertainty about the estimated decision uncertainty (estimate uncertainty), but not the estimated decision uncertainty per se in mentalizing. Hence, our findings identify neural signatures to clearly delineate metacognition and mentalizing and further imply distinct neural computations on internal mental states of decision uncertainty during metacognition and mentalizing.

The relationship between metacognition and mentalizing is still a matter of debate, as both are associated with meta-representations. This study adapts a task paradigm used in metacognition to apply in mentalizing and compares the neural representations of decision uncertainty in metacognition and mentalizing.     

Brain mechanisms of emotion and emotional learning.

The amygdala appears to play an essential role in many aspects of emotional information processing and behavior. Studies over the past year have begun to clarify the anatomical organization of the amygdala and the contribution of its individual subregions to emotional functions, especially emotional learning and memory. Researchers can now point to plausible circuits involved in the transmission of sensory inputs into the amygdala, between amygdaloid subregions, and to efferent targets in cortical and subcortical regions, for specific emotional learning and memory processes.     

The Neuropsychology of Individual Differences

Russian neuropsychology, created by the works of A.R. Luria and his students, is currently undergoing a period of differentiation. In addition to the two main themes—clinical and experimental neuropsychology (with their practical applications, i.e., the diagnosis and restoration of higher mental functions)—developmental neuropsychology (of childhood and old age), the neuropsychology of borderline states, the psychophysiological aspects of neuropsychology, and a number of other areas are also in the midst of a process of formation. Among the new themes that have gained importance in the past few years we have the neuropsychology of individual differences, based on application of the theories, methods, and procedures of neuropsychology to study of the mental functions of normal people.     

Using an NMR metabolomics approach to investigate the pathogenicity of amyloid-beta and alpha-synuclein

Introduction

The pathogenicity at differing points along the aggregation pathway of many fibril-forming proteins associated with neurodegenerative diseases is unclear. Understanding the effect of different aggregation states of these proteins on cellular processes is essential to enhance understanding of diseases and provide future options for diagnosis and therapeutic intervention.

Objectives

To establish a robust method to probe the metabolic changes of neuronal cells and use it to monitor cellular response to challenge with three amyloidogenic proteins associated with neurodegenerative diseases in different aggregation states.

Method

Neuroblastoma SH-SY5Y cells were employed to design a robust routine system to perform a statistically rigorous NMR metabolomics study into cellular effects of sub-toxic levels of alpha-synuclein, amyloid-beta 40 and amyloid-beta 42 in monomeric, oligomeric and fibrillar conformations.

Results

This investigation developed a rigorous model to monitor intracellular metabolic profiles of neuronal cells through combination of existing methods. This model revealed eight key metabolites that are altered when neuroblastoma cells are challenged with proteins in different aggregation states. Metabolic pathways associated with lipid metabolism, neurotransmission and adaptation to oxidative stress and inflammation are the predominant contributors to the cellular variance and intracellular metabolite levels. The observed metabolite changes for monomer and oligomer challenge may represent cellular effort to counteract the pathogenicity of the challenge, whereas fibrillar challenge is indicative of system shutdown. This implies that although markers of stress are more prevalent under oligomeric challenge the fibrillar response suggests a more toxic environment.

Conclusion

This approach is applicable to any cell type that can be cultured in a laboratory (primary or cell line) as a method of investigating how protein challenge affects signalling pathways, providing additional understanding as to the role of protein aggregation in neurodegenerative disease initiation and progression.

     

Psychiatric classifications: validity and utility

Despite historical assumptions to the contrary, there is little evidence that the majority of recognized mental disorders are separated by natural boundaries. Diagnostic categories defined by their clinical syndromes should be regarded as ‘valid’ only if they have been shown to be truly discrete entities. Most diagnostic concepts in psychiatry have not been demonstrated to be valid in this sense, though many possess ‘utility’ by virtue of the information they convey about presenting symptoms, outcome, treatment response and, in some instances, aetiology. While researchers in genetics, neurobiology and population epidemiology are increasingly more likely to adopt a continuum/dimensional view of the variation in symptomatology, clinicians prefer to hold on to the categorical approach embodied in current classifications such as ICD‐10 and DSM‐5. Both points of view have plausible justification in their respective contexts, but the way forward may be in their conceptual reconciliation.