Neurocognitive Hypotheses Research Articles

Enhancing motor imagery practice using synchronous action observation

In this paper, we discuss a variety of ways in which practising motor actions by means of motor imagery (MI) can be enhanced via synchronous action observation (AO), that is, by AO + MI. We review the available research on the (mostly facilitatory) behavioural effects of AO + MI practice in the early stages of skill acquisition, discuss possible theoretical explanations, and consider several issues related to the choice and presentation schedules of suitable models. We then discuss considerations related to AO + MI practice at advanced skill levels, including expertise effects, practical recommendations such as focussing attention on specific aspects of the observed action, using just-ahead models, and possible effects of the perspective in which the observed action is presented. In section “Coordinative AO + MI”, we consider scenarios where the observer imagines performing an action that complements or responds to the observed action, as a promising and yet under-researched application of AO + MI training. In section “The dual action simulation hypothesis of AO + MI”, we review the neurocognitive hypothesis that AO + MI practice involves two parallel action simulations, and we consider opportunities for future research based on recent neuroimaging work on parallel motor representations. In section “AO + MI training in motor rehabilitation”, we review applications of AO, MI, and AO + MI training in the field of neurorehabilitation. Taken together, this evidence-based, exploratory review opens a variety of avenues for future research and applications of AO + MI practice, highlighting several clear advantages over the approaches of purely AO- or MI-based practice.

The role of cross-species relative brain size variation and time since domestication in explaining human empathy towards domesticated mammals

Although multiple publications have addressed the nexus between individual differences and attitudes towards nonhuman animals, fewer studies have discussed the rise of human-animal interactions, in particular with domesticated mammals, through an evolutionary lens. Two evolutionary hypotheses, the Symbiotic and Neurocognitive hypothesis, provide complementary predictions regarding the evolution of these cognitive and emotional mechanisms. According to the Symbiotic hypothesis, the longer the time humans have had to interact symbiotically with domesticated the animals, the greater their empathy towards them. Alternatively, the Neurocognitive hypothesis argues that human empathy directed at animals increases in response to the neural and cognitive complexity of nonhuman animals. To test these hypotheses, the present study reported questionnaire data from 322 Southwestern university students. These psychometric instruments measured the participants' levels of cognitive empathy (the attribution of mental states to animals), emotional empathy (emotional concern about animals), and harm avoidance (reluctance to mistreat animals) when rating 13 domesticated mammals. The species' times since domestication and relative brain sizes were then used as predictors of cognitive empathy, emotional empathy, and harm avoidance. The results of Linear Mixed and Hierarchical General Linear Cascade Models found empirical support for the Symbiotic and Neurocognitive hypotheses.

Temporal Dynamics of Intranasal Oxytocin in Human Brain Electrophysiology.

Oxytocin (OT) is a key modulator of human social cognition, popular in behavioral neuroscience. To adequately design and interpret intranasal OT (IN-OT) research, it is crucial to know for how long it affects human brain function once administered. However, this has been mostly deduced from peripheral body fluids studies, or uncommonly used dosages. We aimed to characterize IN-OT’s effects on human brain function using resting-state EEG microstates across a typical experimental session duration. Nineteen healthy males participated in a double-blind, placebo-controlled, within-subject, cross-over design of 24 IU of IN-OT in 12-min windows 15 min-to-1 h 42min after administration. We observed IN-OT effects on all microstates, across the observation span. During eyes-closed, IN-OT increased duration and contribution of A and contribution and occurrence of D, decreased duration and contribution of B and C; and increased transition probability C-to-B and C-to-D. In eyes-open, it increased A-to-C and A-to-D. As microstates A and D have been related to phonological auditory and attentional networks, respectively, we posit IN-OT may tune the brain for reception of external stimuli, particularly of social nature—tentatively supporting current neurocognitive hypotheses of OT. Moreover, we contrast our overall results against a comprehensive literature review of IN-OT time-course effects in the brain, highlighting comparability issues.

Epilepsy and Ecstatic Experiences: The Role of the Insula.

Ecstatic epilepsy is a rare form of focal epilepsy in which the aura (beginning of the seizures) consists of a blissful state of mental clarity/feeling of certainty. Such a state has also been described as a “religious” or mystical experience. While this form of epilepsy has long been recognized as a temporal lobe epilepsy, we have accumulated evidence converging toward the location of the symptomatogenic zone in the dorsal anterior insula during the 10 last years. The neurocognitive hypothesis for the genesis of a mental clarity is the suppression of the interoceptive prediction errors and of the unexpected surprise associated with any incoming internal or external signal, usually processed by the dorsal anterior insula. This mimics a perfect prediction of the world and induces a feeling of certainty. The ecstatic epilepsy is thus an amazing model for the role of anterior insula in uncertainty and surprise.

Clustering the Brain With "CluB": A New Toolbox for Quantitative Meta-Analysis of Neuroimaging Data.

In this paper we describe and validate a new coordinate-based method for meta-analysis of neuroimaging data based on an optimized hierarchical clustering algorithm: CluB (Clustering the Brain). The CluB toolbox permits both to extract a set of spatially coherent clusters of activations from a database of stereotactic coordinates, and to explore each single cluster of activation for its composition according to the cognitive dimensions of interest. This last step, called “cluster composition analysis,” permits to explore neurocognitive effects by adopting a factorial-design logic and by testing the working hypotheses using either asymptotic tests, or exact tests either in a classic inference, or in a Bayesian-like context. To perform our validation study, we selected the fMRI data from 24 normal controls involved in a reading task. We run a standard random-effects second level group analysis to obtain a “Gold Standard” of reference. In a second step, the subject-specific reading effects (i.e., the linear t-contrast “reading > baseline”) were extracted to obtain a coordinates-based database that was used to run a meta-analysis using both CluB and the popular Activation Likelihood Estimation method implemented in the software GingerALE. The results of the two meta-analyses were compared against the “Gold Standard” to compute performance measures, i.e., sensitivity, specificity, and accuracy. The GingerALE method obtained a high level of accuracy (0.967) associated with a high sensitivity (0.728) and specificity (0.971). The CluB method obtained a similar level of accuracy (0.956) and specificity (0.969), notwithstanding a lower level of sensitivity (0.14) due to the lack of prior Gaussian transformation of the data. Finally, the two methods obtained a good-level of concordance (AC1 = 0.93). These results suggested that methods based on hierarchical clustering (and post-hoc statistics) and methods requiring prior Gaussian transformation of the data can be used as complementary tools, with the GingerALE method being optimal for neurofunctional mapping of pooled data according to simpler designs, and the CluB method being preferable to test more specific, and localized, neurocognitive hypotheses according to factorial designs.

Active SAmpling Protocol (ASAP) to Optimize Individual Neurocognitive Hypothesis Testing: A BCI-Inspired Dynamic Experimental Design.

The relatively young field of Brain-Computer Interfaces has promoted the use of electrophysiology and neuroimaging in real-time. In the meantime, cognitive neuroscience studies, which make extensive use of functional exploration techniques, have evolved toward model-based experiments and fine hypothesis testing protocols. Although these two developments are mostly unrelated, we argue that, brought together, they may trigger an important shift in the way experimental paradigms are being designed, which should prove fruitful to both endeavors. This change simply consists in using real-time neuroimaging in order to optimize advanced neurocognitive hypothesis testing. We refer to this new approach as the instantiation of an Active SAmpling Protocol (ASAP). As opposed to classical (static) experimental protocols, ASAP implements online model comparison, enabling the optimization of design parameters (e.g., stimuli) during the course of data acquisition. This follows the well-known principle of sequential hypothesis testing. What is radically new, however, is our ability to perform online processing of the huge amount of complex data that brain imaging techniques provide. This is all the more relevant at a time when physiological and psychological processes are beginning to be approached using more realistic, generative models which may be difficult to tease apart empirically. Based upon Bayesian inference, ASAP proposes a generic and principled way to optimize experimental design adaptively. In this perspective paper, we summarize the main steps in ASAP. Using synthetic data we illustrate its superiority in selecting the right perceptual model compared to a classical design. Finally, we briefly discuss its future potential for basic and clinical neuroscience as well as some remaining challenges.

Phenomenological and neurocognitive perspectives on polythematic and monothematic delusions.

Phenomenological and neurocognitive perspectives on polythematic and monothematic delusions.

Mechanisms Underlying Auditory Hallucinations-Understanding Perception without Stimulus.

Auditory verbal hallucinations (AVH) are a common phenomenon, occurring in the “healthy” population as well as in several mental illnesses, most notably schizophrenia. Current thinking supports a spectrum conceptualisation of AVH: several neurocognitive hypotheses of AVH have been proposed, including the “feed-forward” model of failure to provide appropriate information to somatosensory cortices so that stimuli appear unbidden, and an “aberrant memory model” implicating deficient memory processes. Neuroimaging and connectivity studies are in broad agreement with these with a general dysconnectivity between frontotemporal regions involved in language, memory and salience properties. Disappointingly many AVH remain resistant to standard treatments and persist for many years. There is a need to develop novel therapies to augment existing pharmacological and psychological therapies: transcranial magnetic stimulation has emerged as a potential treatment, though more recent clinical data has been less encouraging. Our understanding of AVH remains incomplete though much progress has been made in recent years. We herein provide a broad overview and review of this.

The ‘I’ and the ‘Me’ in self-referential awareness: a neurocognitive hypothesis

The nature of the 'self' and self-referential awareness has been one of the most debated issues in philosophy, psychology and cognitive neuroscience. Understanding the neurocognitive bases of self-related representation and processing is also crucial to research on the neural correlates of consciousness. The distinction between an 'I', corresponding to a subjective sense of the self as a thinker and causal agent, and a 'Me', as the objective sense of the self with the unique and identifiable features constituting one's self-image or self-concept, suggested by William James, has been re-elaborated by authors from different theoretical perspectives. In this article, empirical studies and theories about the 'I' and the 'Me' in cognition and self-related awareness are reviewed, including the relationships between self and perception, self and memory, the development of the self, self-referential stimulus processing, as well as related neuroimaging studies. Subsequently, the relations between self and different aspects of consciousness are considered. On the basis of the reviewed literature and with reference to Block's distinction between phenomenal and access consciousness, a neurocognitive hypothesis is formulated about 'I'-related and 'Me'-related self-referential awareness. This hypothesis is extended to metacognitive awareness and a form of non-transitive consciousness, characteristic of meditation experiences and studies, with particular reference to the notion of mindfulness and other Buddhist constructs.

From high anxiety trait to depression: a neurocognitive hypothesis

Although exposure to substantial stress has a major impact on the development of depression, there is considerable variability in the susceptibility of individuals to the adverse effects of stress. The personality trait of high anxiety has been identified as a vulnerability factor to develop depression. We propose here a new unifying model based on a series of neurocognitive mechanisms (and fed with crucial information provided by research on the fields of emotion, stress and cognition) whereby individuals presenting a high anxiety trait are particularly vulnerable to develop depression when facing stress and adversity. Our model highlights the importance of developing prevention programs addressed to restrain, in high anxious individuals, the triggering of a dysfunctional neurocognitive cascade while coping with stress.