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One apparent feature of mental time travel is the ability to recursively embed temporal perspectives across different times: humans can remember how we anticipated the future and anticipate how we will remember the past. This recursive structure of mental time travel might be formalized in terms of a 'grammar' that is reflective of but more general than linguistic notions of absolute and relative tense. Here, I provide a foundation for this grammatical framework, emphasizing a bounded (rather than unbounded) recursive function that supports mental time travel to a limited temporal depth and to actual and possible scenarios. Anticipated counterfactual thinking, for instance, entails three levels of mental time travel to a possible scenario ('in the future, I will reflect on how my past self could have taken a different future action') and is centrally implicated in complex human decision-making. This perspective calls for further research into the mechanisms, ontogeny, functions and phylogeny of recursive mental time travel, and revives the question of links with other recursive forms of thinking such as theory of mind. This article is part of the theme issue 'Elements of episodic memory: lessons from 40 years of research'.

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The neural or mental simulation of actions is a powerful tool for allowing cognitive agents to develop Prospection Capabilities that are crucial for learning and memorizing key aspects of challenging skills. In previous studies, we developed an approach based on the animation of the redundant human body schema, based on the Passive Motion Paradigm (PMP). In this paper, we show that this approach can be easily extended to hyper-redundant serpentine robots as well as to hybrid configurations where the serpentine robot is functionally integrated with a traditional skeletal infrastructure. A simulation model is analyzed in detail, showing that it incorporates spatio-temporal features discovered in the biomechanical studies of biological hydrostats, such as the elephant trunk or octopus tentacles. It is proposed that such a generative internal model could be the basis for a cognitive architecture appropriate for serpentine robots, independent of the underlying design and control technologies. Although robotic hydrostats have received a lot of attention in recent decades, the great majority of research activities have been focused on the actuation/sensorial/material technologies that can support the design of hyper-redundant soft/serpentine robots, as well as the related control methodologies. The cognitive level of analysis has been limited to motion planning, without addressing synergy formation and mental time travel. This is what this paper is focused on.

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Many people with schizophrenia spectrum disorders (SSDs) experience profound amotivation, which is strongly related to anticipatory anhedonia. Yet, the neuropsychological fundamentals of anticipatory anhedonia and amotivation are barely understood, resulting in a lack of effective treatments for these patients. Aberrancies in positive mental imagery may interfere with the anticipation of pleasure and could thus explain anticipatory anhedonia and amotivation. However, the nature of mental imagery and its relationship with amotivational psychopathology in SSD is largely unknown. In this preregistered study, we therefore examined mental imagery characteristics and their relation to anticipatory anhedonia, amotivation, and daily life activity in SSD. TheN = 86 participants included individuals with SSD (n = 43) and demographically matched healthy controls (n = 43). Mental imagery, anticipatory pleasure, amotivation, and activity engagement were assessed with structured interviews and self-report questionnaires. Ecological momentary assessment was used to measure state anticipatory pleasure and activity engagement in daily life (n = 81). Compared to the control group, the SSD group showed comparable quantity, but less vividness of mental imagery. Reduced vividness of mental imagery in SSD was significantly associated with higher anticipatory anhedonia, amotivation, and low activity engagement in cross-sectional and prospective analyses. Reduced mental imagery vividness may cause a lack of internal incentive to seek pleasurable experiences and could explain amotivation. Interventions aiming to improve mental imagery vividness and related anticipatory pleasure responses in SSD may be effective in targeting amotivation.

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INTRODUCTION: Little research has been done on how people mentally simulate future suicidal thoughts and urges, a process we term suicidal prospection. METHODS: Participants were 94 adults with recent suicidal thoughts. Participants completed a 42-day real-time monitoring study and then a follow-up survey 28 days later. Each night, participants provided predictions for the severity of their suicidal thoughts the next day and ratings of the severity of suicidal thoughts over the past day. We measured three aspects of suicidal prospection: predicted levels of desire to kill self, urge to kill self, and intent to kill self. We generated prediction errors by subtracting participants' predictions of the severity of their suicidal thoughts from their experienced severity. RESULTS: Participants tended to overestimate (although the average magnitude was small and the modal error was zero) the severity of their future suicidal thoughts. The best fitting models suggested that participants used both their current suicidal thinking and previous predictions of their suicidal thinking to generate predictions of their future suicidal thinking. Finally, the average severity of predicted future suicidal thoughts predicted the number of days participants thought about suicide during the follow-up period. CONCLUSIONS: This study highlights prospection as a psychological process to better understand suicidal thoughts and behaviors.

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In simple terms, consciousness is constituted by multiple goals for action and the continuous adjudication of such goals to implement action, which is referred to as the maps of meaning (MoM) consciousness theory. The MoM theory triangulates through three parallel corollaries: action (behavior), mechanism (morphology/pathophysiology), and goals (teleology). (1) An organism's consciousness contains fluid, nested goals. These goals are not intentionality, but intersectionality, via the Darwinian byproduct of embodiment meeting the world, i.e., Darwinian inclusive fitness or randomization and then survival of the fittest. (2) These goals are formed via a gradual descent under inclusive fitness and are the abstraction of a "match" between the evolutionary environment and the organism. (3) Human consciousness implements the brain efficiency hypothesis, genetics, epigenetics, and experience-crystallized efficiencies, not necessitating best or objective but fitness, i.e., perceived efficiency based on one's adaptive environment. These efficiencies are objectively arbitrary but determine the operation and level of one's consciousness, termed as extreme thrownness. (4) Since inclusive fitness drives efficiencies in the physiologic mechanism, morphology, and behavior (action) and originates one's goals, embodiment is necessarily entangled to human consciousness as it is at the intersection of mechanism or action (both necessitating embodiment) occurring in the world that determines fitness. (5) Perception is the operant process of consciousness and is the de facto goal adjudication process of consciousness. Goal operationalization is fundamentally efficiency-based via one's unique neuronal mapping as a byproduct of genetics, epigenetics, and experience. (6) Perception involves information intake and information discrimination, equally underpinned by efficiencies of inclusive fitness via extreme thrownness. Perception is not a 'frame rate' but Bayesian priors of efficiency based on one's extreme thrownness. (7) Consciousness and human consciousness are modular (i.e., a scalar level of richness, which builds up like building blocks) and dimensionalized (i.e., cognitive abilities become possibilities as the emergent phenomena at various modularities such as the stratified factors in factor analysis). (8) The meta dimensions of human consciousness seemingly include intelligence quotient, personality (five-factor model), richness of perception intake, and richness of perception discrimination, among other potentialities. (9) Future consciousness research should utilize factor analysis to parse modularities and dimensions of human consciousness and animal models.

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For animals, including humans, to have self-awareness, the ability to reflect on one's own perceptions and cognitions, which is known as metacognition, and an understanding of consistency of the self from the past to the present and into the future based on metacognition is essential. Through the mediation of self-consciousness, animals are thought to be able to proactively act to change their environment rather than passively responding to changes in their environment. However, it has not been known whether animals have self-awareness, and, if so, how it is implemented neurobiologically. In this review article, I introduce our studies examining the neural basis of metacognitive abilities for past, present, and future actions in macaque monkeys and humans, and explore the evolutionary origins of self-awareness.

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Affective forecasting - estimations of future emotional reactions - is an important aspect of future thinking that informs judgement and decision making. Biases in affective forecasting have been noted generally and with people with emotional disturbances specifically. Still, the role of affective forecasting within models of psychopathology has received little attention. Given the state of the literature, a scoping review method was adopted to summarize and synthesize the methodological approaches used in measuring affective forecasting within the context of psychopathology and the scope of the evidence on this association. Three databases were searched for research published on or before November 13th, 2023. Original quantitative research that examined affective forecasting and its association with psychopathology was reviewed. Data were charted using a form designed for this study. Overall, the review highlights the heterogeneity in operationalization of affective forecasting. The majority of the evidence supports an association between severity of psychopathology and intensity of affective forecasts, with notable exceptions, which are discussed within the scope of methodology and operationalization of affective forecasting. This remains an important process to investigate in information processing models of psychopathology to elucidate its role in the development and maintenance of psychopathology and potential as a target for intervention.

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Depression commonly features the experience of hopelessness and a loss of the ability to imagine and believe in one's positive future. This article considers this important feature of depression and how effective recovery from depression includes the restoration of hope and a belief in actualizing a positive future. It provides in detail a treatment strategy that is focused on cocreating with the patient a positive therapeutic outcome in the patient's future and encourages patients to internalize a representation of the future experience of recovery and restoration of hope. This approach is described in detail and begins by guiding the client suffering from depression to experience a positive therapeutic outcome during hypnosis. This is followed by having the client internalize this positive resolution and recovery and integrate this experience on conscious and subconscious levels. As the client "returns from the future" to the present, bringing back with them this experience of having achieved a resolution and recovery from depression, this corrective emotional experience can affect their daily behavior in the present arising from a significant change in thoughts, feelings, and actions. Case examples that illustrate the use of the future focused strategy in clinical practice are included.

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Negative bias in prospection may play a crucial role in driving and maintaining depression. Recent research suggests abnormal activation and functional connectivity in regions of the default mode network (DMN) during future event generation in depressed individuals. However, the neural dynamics during prospection in these individuals remain unknown. To capture network dynamics at high temporal resolution, we employed electroencephalogram (EEG) microstate analysis. We examined microstate properties during both positive and negative prospection in 35 individuals with subthreshold depression (SD) and 35 controls. We identified similar sets of four canonical microstates (A-D) across groups and conditions. Source analysis indicated that each microstate map partially overlapped with a subsystem of the DMN (A: verbal; B: visual-spatial; C: self-referential; and D: modulation). Notably, alterations in EEG microstates were primarily observed in negative prospection of individuals with SD. Specifically, when generating negative future events, the coverage, occurrence, and duration of microstate A increased, while the coverage and duration of microstates B and D decreased in the SD group compared to controls. Furthermore, we observed altered transitions, particularly involving microstate C, during negative prospection in the SD group. These altered dynamics suggest dysconnectivity between subsystems of the DMN during negative prospection in individuals with SD. In conclusion, we provide novel insights into the neural mechanisms of negative bias in depression. These alterations could serve as specific markers for depression and potential targets for future interventions.

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ACADEMIC ABSTRACT: This article integrates and advances the scope of research on the role of mental time travel in bolstering the self. We propose that imagining the self in the future (prospection) or in the past (retrospection) highlights central and positive self-aspects. Thus, bringing to mind one's future or past broadens the perceived bases of self-integrity and offers a route to self-affirmation. In reviewing corresponding research programs on self-prospection and nostalgia, we illustrate that mental time travel serves to affirm the self in terms of self-esteem, coherence, and control. Mental time travel could be implemented as a source of self-affirmation for facilitating coping and behavior change in several domains such as relationships, health, education, and organizational contexts. PUBLIC ABSTRACT: People can mentally travel to their future or to their past. When people imagine what they will be like in the future, or what they were like in the past, they tend to think about themselves in terms of the important and positive attributes that they possess. Thinking about themselves in such an affirming way expands and consolidates their self-views. This broader image of themselves can increase self-esteem (the extent to which one likes who they are), coherence (the extent to which one perceives life as meaningful), and control (the extent to which one feels capable of initiating and pursuing goals or effecting desirable outcomes). Mental time travel, then, has favorable or affirming consequences for one's self-views. These consequences can be harnessed to modify one's behavior in such life domains as relationships, health, education, and work.

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BACKGROUND: Depression and anxiety are common during adolescence and could have detrimental impacts on young people's ability to make and implement plans for their future. However, to the best of our knowledge, no other study has adopted a qualitative approach in investigating these effects from the perspective of adolescents with lived experiences of depression and anxiety. We sought to understand how young people perceive and interpret the impact of mental health conditions on their thinking about the future. METHODS: We conducted semi-structured interviews with 19 adolescents aged 16-19 years in the UK (median age = 19, IQR = 1.5), who had a history of protracted periods of clinical or subclinical depression and/or anxiety. They were asked to reflect on how their ability to think about the future and the content of the future-related thinking was impacted during periods of poor mental health, compared with periods of feeling well. Interviews were transcribed verbatim and subjected to thematic content analysis. RESULTS: Five domains were identified. First, the impact of mood on future thinking capability focuses on reduced ability and motivation to engage in future thinking. Second, the impact of mood on images, thoughts, and feelings about the future includes the emotional valence of future-related thoughts, their vividness, structure, and the extent to which they intimated subjective feelings of control (i.e., agency). Third, social influences focuses on social factors that might ameliorate or exacerbate future thinking. Fourth, reflections on personal worries and expectations about the future captures personal interpretations of past worries and hopes and how future thinking affected mood. Finally, personal coping refers to how young people cope with the negative emotions that come with future thinking. CONCLUSIONS: This study provided a nuanced and granular account of how depression and anxiety impacted young people's future thinking based on their lived experiences. By highlighting the different ways that variations in future thinking were experienced as a function of depression and anxiety, our analysis highlighted new factors that should be considered in studies of adolescent mental health risk, which could inform the development of new therapeutic approaches.

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Negative future thinking pervades emotional disorders. This hybrid efficacy-effectiveness trial tested a four-session, scalable online cognitive bias modification program for training more positive episodic prediction. 958 adults (73.3% female, 86.5% White, 83.4% from United States) were randomized to positive conditions with ambiguous future scenarios that ended positively, 50/50 conditions that ended positively or negatively, or a control condition with neutral scenarios. As hypothesized (preregistration: https://osf.io/jrst6), positive training participants improved more than control participants in negative expectancy bias (d = -0.58), positive expectancy bias (d = 0.80), and self-efficacy (d = 0.29). Positive training was also superior to 50/50 training for expectancy bias and optimism (d = 0.31). Training gains attenuated yet remained by 1-month follow-up. Unexpectedly, participants across conditions improved comparably in anxiety and depression symptoms and growth mindset. Targeting a transdiagnostic process with a scalable program may improve bias and outlook; however, further validation of outcome measures is required.

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Our representations of the future are processed in the service of several different cognitive functions, including episodic future thinking, prospective memory, and temporal discounting. The present meta-analysis used the Activation Likelihood Estimation method to understand whether there is a core network underlying future-oriented cognition and to identify the specific brain regions that support future-related processes in each function. Following the PRISMA guidelines, a total of 24, 19, and 27 neuroimaging studies were included for future thinking, prospective memory, and temporal discounting, respectively. Results showed that there is no specific region or network for the future. Instead, the 'future' seems to be represented on an anterior-posterior tangibility gradient, based on the level of abstractness/concreteness of the simulated scenario. Additionally, future-oriented cognition is mediated by two distinct networks: the Default Network and the Salience Network. The Default Network is mainly active in supporting future thinking, whereas the Salience Network is primarily involved in prospective memory and delay discounting.

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Future-oriented thought is a broad construct that characterize the ability to generate mental representations of the future and project oneself into a variety of hypothetical states. It is well established that the degree to which one is focused more on the past, present, or future has a variety of implications on psychological functioning. This study focuses on the relationship between future-oriented thought and academic performance of students. To bridge this gap, we conducted the first systematic review investigating the benefit of future-oriented thought on promoting positive outcomes in academic settings. Our systematic review comprised 21 studies (k = 21). Results identified a clear relationship between future-oriented thought and positive outcomes in academic settings. Furthermore, our systematic review reveals important relationships between future-oriented thought and academic engagement, as well as future-oriented thought and academic performance. Our findings suggest that those who are more future-oriented demonstrate higher levels of academic engagement compared to those who were less future-oriented. Our findings suggest that probing and guiding students toward a future goal may increase their academic engagement and performance.

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With about 13,000 known species, ants are the most abundant venomous insects. Their venom consists of polypeptides, enzymes, alkaloids, biogenic amines, formic acid, and hydrocarbons. In this study, we investigated, using in silico techniques, the peptides composing a putative antimicrobial arsenal from the venom gland of the neotropical trap-jaw ant Odontomachus chelifer. Focusing on transcripts from the body and venom gland of this insect, it was possible to determine the gland secretome, which contained about 1022 peptides with putative signal peptides. The majority of these peptides (75.5%) were unknown, not matching any reference database, motivating us to extract functional insights via machine learning-based techniques. With several complementary methodologies, we investigated the existence of antimicrobial peptides (AMPs) in the venom gland of O. chelifer, finding 112 non-redundant candidates. Candidate AMPs were predicted to be more globular and hemolytic than the remaining peptides in the secretome. There is evidence of transcription for 97% of AMP candidates across the same ant genus, with one of them also verified as translated, thus supporting our findings. Most of these potential antimicrobial sequences (94.8%) matched transcripts from the ant's body, indicating their role not solely as venom toxins.

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OBJECTIVES: Mindfulness has been studied under cultivated or dispositional divisions where the latter has strong implications for psychological well-being in meditators and non-meditators alike. In addition, future expectations, or prospections, regarding the occurrence of important events in a person's future have recently been hypothesized to be the main cause behind symptoms of major depression. There is, however, a lack of empirical research looking at possible links between dispositional mindfulness, as understood in its facet structure, and future expectations as understood via perceived risk of occurrence and vividness of mental imagery when prompted to imagine a given list of positive and negative prospective event item lists. Therefore, this research aimed at examining how dispositional mindfulness may be related to probabilistic risk assessments of positive and negative future events (Stage I); and how mental imagery vividness may be moderated by mindfulness facets (Stage II). METHODS: Both stages included healthy participants and incorporated the PROCESS macro for moderated regression analysis done with the SPSS software. Stage I included 204 voluntary college students, and Stage II was conducted online with a public sample of 110 adults. RESULTS: Although no interaction effect was found in Stage I, nonreactivity to inner experience facet of dispositional mindfulness moderated the relationship between negative imagery vividness and psychological distress in Stage II (F(1,103) = 4.00, R2 change=.018, p <.05). CONCLUSIONS: This is a novel finding that could inform a future line of research looking into the relationship between prospection and mindfulness, holding a potential for informing research on mindfulness-based interventions.

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Many researchers report that people have an optimistic bias when making predictions, but sometimes cautious realism is found. One resolution is that future thinking has two steps: The desired outcome is imagined first, followed by a sobering reflection on potential difficulty of getting there. Five experiments supported this two-step model (USA and Norway; N = 3213; 10,433 judgments), showing that intuitive predictions are more optimistic than reflective predictions. Participants were randomly assigned to rely on fast intuition under time-pressure or slow reflection after time-delay. In Experiment 1, participants in both conditions thought positive events were more likely to happen to them than to other people and that negative events were less likely, replicating the classic finding of "unrealistic optimism". Crucially, this optimistic tendency was significantly stronger in the intuitive condition. Participants in the intuitive condition also relied more on heuristic problem-solving (CRT). Experiments 2-3 found that participants in the intuitive condition thought they were at lower health risk than participants in the reflective condition. Experiment 4 provided a direct replication, with the additional finding that intuitive predictions were more optimistic only for oneself (and not about the average person). Experiment 5 failed to identify any intuitive difference in perceived reasons for success versus failure, but observed intuitive optimism in binary prediction of a future exercise habit. Experiment 5 also found suggestive evidence for a moderating role of social knowledge: Reflective predictions about oneself became more realistic than intuitive predictions only when the person's base-rate beliefs about other people were fairly accurate.

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Dreams are often viewed as fascinating but irrelevant mental epihenomena of the sleeping mind with questionable functional relevance. Despite long hours of oneiric activity, and high individual differences in dream recall, dreams are lost into oblivion. Here, we conceptualize dreaming and dream amnesia as inherent aspects of the reactive and predictive homeostatic functions of sleep. Mental activity during sleep conforms to the interplay of restorative processes and future anticipation, and particularly during the second half of the night, it unfolds as a special form of non-constrained, self-referent, and future-oriented cognitive process. Awakening facilitates constrained, goal-directed prospection that competes for shared neural resources with dream production and dream recall, and contributes to dream amnesia. We present the neurophysiological aspects of reactive and predictive homeostasis during sleep, highlighting the putative role of cortisol in predictive homeostasis and forgetting dreams. The theoretical and methodological aspects of our proposal are discussed in relation to the study of dreaming, dream recall, and sleep-related cognitive processes.

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BACKGROUND: As for other life history traits, variation occurs in movement patterns with important impacts on population demography and community interactions. Individuals can show variation in the extent of seasonal movement (or migration) or can change migratory routes among years. Internal factors, such as age or body condition, may strongly influence changes in movement patterns. Indeed, young individuals often tend to move across larger spatial scales compared to adults, but relatively few studies have investigated the proximate and ultimate factors driving such variation. This is particularly the case for seabirds in which the sub-adult period is long and difficult to follow. Here, we examine migration variation and the factors that affect it in a common Mediterranean seabird, the Yellow-legged gull (Larus michahellis). METHODS: The data include the encounter histories of 5158 birds marked as fledglings between 1999 and 2004 at 14 different colonies in southern France and resighted over 10 years. Using a multi-event mark-recapture modeling framework, we use these data to estimate the probability of movement and survival, taking into account recapture heterogeneity and age. RESULTS: In accordance with previous studies, we find that young individuals have greater mobility than older individuals. However, the spatial extent of juvenile movements depends on natal colony location, with a strong difference in the proportion of sedentary individuals among colonies less than 50 km apart. Colony quality or local population dynamics may explain these differences. Indeed, young birds from colonies with strong juvenile survival probabilities (~ 0.75) appear to be more sedentary than those from colonies with low survival probabilities (~ 0.36). CONCLUSIONS: This study shows the importance of studying individuals of different ages and from different colonies when trying to understand seabird movement strategies. Local breeding success and the availability of food resources may explain part of the among colony differences we observe and require explicit testing. We discuss our results with respect to the feedback loop that may occur between breeding success and mobility, and its potential implications for population demography and the dissemination of avian disease at different spatial scales.