Hasil untuk "Consciousness. Cognition"

Qi Zhang

Declarative memory, the memory that can be "declared" in words or languages, is made up of two dissociated parts: episodic memory and semantic memory. This dissociation has its neuroanatomical basis episodic memory is mostly associated with the hippocampus and semantic memory with the neocortex. The two memories, on the other hand, are closely related. Lesions in the hippocampus often result in various impairments of explicit memory, e.g., anterograde, retrograde and developmental amnesias, and semantic learning deficit. These impairments provide opportunities for us to understand how the two memories may be acquired, stored and organized. This chapter reviews several cognitive systems that are centered to mimic explicit memory, and other systems that are neuroanatomically based and are implemented to simulate those memory impairments mentioned above. This review includes: the structures of the computational systems, their learning rules, and their simulations of memory acquisition and impairments.

Yueyang Wu, Sinan Yang, Yanming Wang et al.

In recent years,the application of deep learning in task functional Magnetic Resonance Imaging (tfMRI) decoding has led to significant advancements. However,most studies remain constrained by assumption of temporal stationarity in neural activity,resulting in predominantly block-wise analysis with limited temporal resolution on the order of tens of seconds. This limitation restricts the ability to decode cognitive functions in detail. To address these limitations, this study proposes a deep neural network designed for volume-wise identification of task states within tfMRI data,thereby overcoming the constraints of conventional methods. Evaluated on Human Connectome Project (HCP) motor and gambling tfMRI datasets,the model achieved impressive mean accuracy rates of 94.0% and 79.6%,respectively. These results demonstrate a substantial enhancement in temporal resolution,enabling more detailed exploration of cognitive processes. The study further employs visualization algorithms to investigate dynamic brain mappings during different tasks,marking a significant step forward in deep learning-based frame-level tfMRI decoding. This approach offers new methodologies and tools for examining dynamic changes in brain activities and understanding the underlying cognitive mechanisms.

Yoshiyuki Ohmura, Yasuo Kuniyoshi

The reductionist approach commonly employed in scientific methods presupposes that both macro and micro phenomena can be explained by micro-level laws alone. This assumption implies intra-level causal closure, rendering all macro phenomena epiphenomenal. However, the integrative nature of consciousness suggests that it is a macro phenomenon. To ensure scientific testability and reject epiphenomenalism, the reductionist assumption of intra-level causal closure must be rejected. This implies that even neural-level behavior cannot be explained by observable neural-level laws alone. Therefore, a new methodology is necessary to acknowledge the causal efficacy of macro-level phenomena. We model the brain as operating under dual laws at different levels. This model includes hypothetical macro-level psychological laws that are not determined solely by micro-level neural laws, as well as the causal effects from macro to micro levels. In this study, we propose a constructive approach that explains both mental and physical phenomena through the interaction between these two sets of laws.

Jinhao Yang, Shaojiong Zhou, Zhibin Wang et al.

Long COVID "brain fog" is a common and debilitating subjective syndrome often associated with persistent cognitive impairment after COVID-19 infection. Here we identify a specific regional brain dysfunction that mediates this cognitive impairment and provide evidence that targeted neuromodulation improves this deficit. In 120 patients with long COVID brain fog, we found an aberrant perceptual processing pattern. Patients with more severe brain fog committed significantly more false alarms (impulsive responses to non-signals) despite preserved overall accuracy. Both high-density (128-channel) EEG and structural MRI analyses provided converging evidence of a right inferior insula deficit, characterized by a blunted neural monitoring signal and cortical atrophy. We confirmed this deficit in a separate 796-participant UK Biobank longitudinal COVID re-imaging cohort, where COVID-19 survivors also showed selective impairment on a perceptual processing task and corresponding longitudinal atrophy of the right inferior insula compared with healthy controls. Finally, in a proof-of-principle randomized, sham-controlled trial (n = 40), a non-invasive, excitatory theta-burst ultrasound stimulation protocol targeting the right inferior insula rescued the perceptual deficit by reducing false alarms. These findings provide evidence of a causal role for right inferior insula dysfunction in long COVID-related perceptual impairment and show that modulation of this region can rescue the deficit, establishing it as a novel therapeutic target for long COVID cognitive impairment.

Zag ElSayed, Grace Westerkamp, Jack Yanchen Liu et al.

Neurodevelopmental disorders such as Fragile X Syndrome (FXS) and Autism Spectrum Disorder (ASD) are characterized by disrupted cortical oscillatory activity, particularly in the alpha and gamma frequency bands. These abnormalities are linked to deficits in attention, sensory processing, and cognitive function. In this work, we present an adaptive machine learning-based brain-computer interface (BCI) system designed to modulate neural oscillations through frequency-specific auditory stimulation to enhance cognitive readiness in individuals with FXS. EEG data were recorded from 38 participants using a 128-channel system under a stimulation paradigm consisting of a 30-second baseline (no stimulus) followed by 60-second auditory entrainment episodes at 7Hz, 9Hz, 11Hz, and 13Hz. A comprehensive analysis of power spectral features (Alpha, Gamma, Delta, Theta, Beta) and cross-frequency coupling metrics (Alpha-Gamma, Alpha-Beta, etc.) was conducted. The results identified Peak Alpha Power, Peak Gamma Power, and Alpha Power per second per channel as the most discriminative biomarkers. The 13Hz stimulation condition consistently elicited a significant increase in Alpha activity and suppression of Gamma activity, aligning with our optimization objective. A supervised machine learning framework was developed to predict EEG responses and dynamically adjust stimulation parameters, enabling real-time, subject-specific adaptation. This work establishes a novel EEG-driven optimization framework for cognitive neuromodulation, providing a foundational model for next-generation AI-integrated BCI systems aimed at personalized neurorehabilitation in FXS and related disorders.

Phillip A. Neumair, Fiona M. Gehrecke, Stefan Hartmann et al.

The article explores the metaphorical conceptualization of emotions. Conceptual metaphors are understood here as frames (i.e., structures of knowledge in long-term memory) in their own right. For modeling both the source and target domains of metaphors, the CoMetNet (Conceptual Metaphor Network) project uses frames documented in the German FrameNet-Constructicon project in spite of ad hoc created domains in previous literature. By doing so, it strives for a more empirically motivated description of conceptual metaphors. Drawing on a specialized corpus, it is shown that (1) our frame-semantic approach permits addressing the status of emotion concepts in the conceptual and linguistic system. More specifically, it shows that (2) frame elements (FEs) reflect adequately which aspects are relevant in the conceptualization of emotions and that (3) the complexity of emotion concepts can be thought of as an interplay between (different types of) frames. However, there are still some challenges for CoMetNet, e.g., the frame-semantic description of emotion metaphors that draw on highly schematic and scalar source domains.

Sayan Ali, Samit Karmakar, Arup Chakraborty et al.

Introduction and Objective Hypertension is an evolving public health challenge at present, and it is preceded by a prehypertensive stage. Irregular sleep duration and pattern have been found to be linked with cardiovascular diseases. Medical students are highly vulnerable to low quality sleep due to pressure regarding the academic curriculum and poor lifestyle. The present study aimed to estimate the prevalence of prehypertension, describe the risk factors and sleep patterns of undergraduate medical students, and determine the association, if any, involving sleep time and duration and prehypertension.

Aksenovskaya, Liudmila N.

Relevance: Socio-psychological studies of spirituality are a priority amidst the current liminal stage of social development. Such studies are crucial for identifying the core foundations of social psychology at the level of spiritual characteristics responsible for the psychocultural health of various social groups. Purpose: to present the foundations of a socio-psychological approach to the empirical study of the cognitive aspect of spirituality. Results: the article presents a brief overview of the historical development of the theory of cognition as an independent branch of science. It also considers the category of truth as the goal of a cognitive activity, along with the content of the concepts of “cognitive attitude” and “cognitive ideal.” It is noted that the purpose of human cognitive activity is to comprehend truth or to gain knowledge about the object of interest as an intermediate result of the truth-seeking process. The subject of cognitive activity is the subject of social interaction. Participants in social interaction may possess either scientifi c consciousness and use scientifi c means of cognition, or ordinary consciousness and employ the appropriate means of cognition. Conclusion: a cognitive attitude is defi ned as sustained attention to an individual’s personality, stemming from a positive interest in that individual. Within the framework of socio-psychological research, a cognitive attitude has three levels, determined by the type of need: orientational, mixed or spiritual. The “cognitive ideal” is presented as the most perfect cognitive attitude towards the other, characterized by the qualities of the subject of cognition, the object of cognition, and the means of cognition. It manifests at the highest level and completeness of Truth, Goodness, and Beauty. Practical significance: lies in two key areas: a) it creates a basis for developing methodological tools for socio-psychological studies of the cognitive ideal of the attitude towards the other, thereby yielding data on the spiritual development level of individuals and groups in terms of their cognitive processes; b) it off ers the future possibility of using psychodiagnostic research data to develop technologies for correcting and improving the level of spiritual development.

Karim Keita

Le Nation branding, que l’on peut définir comme étant l’application de principes de stratégie de marque à un Etat, est encore perçu comme une approche marketing destinée à valoriser l’image d’un pays. C’est sans doute cette perception réductrice qui a tenu à distance les chercheurs en sciences cognitives de ce concept complexe et polysémique. Pourtant, à l’analyse, il ressort que le Nation branding est en relation étroite avec ces sciences, que ce soit au niveau des processus de construction de marque nationale que de ses impacts sur les perceptions et comportements des publics-cibles (résidents, touristes, investisseurs, diasporas…). Dans un contexte généralisé de guerre cognitive multipolaire, le Nation branding, ainsi que son « bras armé », la Diplomatie publique, pourraient bien s’affirmer comme étant des atouts décisifs, tant au niveau de l’impact géo-politique qu’ils peuvent générer dans l’arène internationale, que de la résilience cognitive auxquels ils contribuent en fédérant des populations autour de narratifs identitaires cohérents. Il sera enfin inté-ressant d’aborder la thématique de la durabilité, que le Nation branding doit pouvoir intégrer à haut niveau pour qu’elle parvienne à structurer le développement économique des Etats, au Nord comme au Sud.

Jeremy I Skipper, Joanna Kuc, Greg Cooper et al.

How is language related to consciousness? Language functions to categorise perceptual experiences (e.g., labelling interoceptive states as 'happy') and higher-level constructs (e.g., using 'I' to represent the narrative self). Psychedelic use and meditation might be described as altered states that impair or intentionally modify the capacity for linguistic categorisation. For example, psychedelic phenomenology is often characterised by 'oceanic boundlessness' or 'unity' and 'ego dissolution', which might be expected of a system unburdened by entrenched language categories. If language breakdown plays a role in producing such altered behaviour, multimodal artificial intelligence might align more with these phenomenological descriptions when attention is shifted away from language. We tested this hypothesis by comparing the semantic embedding spaces from simulated altered states after manipulating attentional weights in CLIP and FLAVA models to embedding spaces from altered states questionnaires before manipulation. Compared to random text and various other altered states including anxiety, models were more aligned with disembodied, ego-less, spiritual, and unitive states, as well as minimal phenomenal experiences, with decreased attention to language and vision. Reduced attention to language was associated with distinct linguistic patterns and blurred embeddings within and, especially, across semantic categories (e.g., 'giraffes' become more like 'bananas'). These results lend support to the role of language categorisation in the phenomenology of altered states of consciousness, like those experienced with high doses of psychedelics or concentration meditation, states that often lead to improved mental health and wellbeing.

Kianté Fernandez, Dominique Makowski, Christopher Fisher

Sequential sampling models (SSMs) are a widely used framework describing decision-making as a stochastic, dynamic process of evidence accumulation. SSMs popularity across cognitive science has driven the development of various software packages that lower the barrier for simulating, estimating, and comparing existing SSMs. Here, we present a software tool, SequentialSamplingModels.jl (SSM.jl), designed to make SSM simulations more accessible to Julia users, and to integrate with the Julia ecosystem. We demonstrate the basic use of SSM.jl for simulation, plotting, and Bayesian inference.

Alfredo Ibias, Hector Antona, Guillem Ramirez-Miranda et al.

Unsupervised learning methods have a soft inspiration in cognition models. To this day, the most successful unsupervised learning methods revolve around clustering samples in a mathematical space. In this paper we propose a primitive-based, unsupervised learning approach for decision-making inspired by a novel cognition framework. This representation-centric approach models the input space constructively as a distributed hierarchical structure in an input-agnostic way. We compared our approach with both current state-of-the-art unsupervised learning classification, with current state-of-the-art small and incomplete datasets classification, and with current state-of-the-art cancer type classification. We show how our proposal outperforms previous state-of-the-art. We also evaluate some cognition-like properties of our proposal where it not only outperforms the compared algorithms (even supervised learning ones), but it also shows a different, more cognition-like, behaviour.

Katherine C. Moen, Katherine C. Moen, Melissa R. Beck et al.

IntroductionAlthough evidence supports the effective use of a cue to forget an encoded stimulus, the mechanisms of this forgetting are not well understood. Evidence from item-method directed forgetting in long-term memory reveals greater prefrontal and parietal activation for information that is cued to be forgotten. Activation in those brain regions is typically associated with increased effort and cognitive control.MethodTo test the mechanism of directed forgetting in visual working memory, we used stimuli that rely on distinct brain regions such as faces and buildings and varied memory stability. Participants completed a directed forgetting task with faces and buildings, and memory stability was manipulated by presenting some stimuli repeatedly throughout the study, and other stimuli were only presented once.Results and discussionFunctional magnetic resonance imaging (fMRI) results from the parahippocampal place area suggest that to-be-remembered buildings elicit higher activation than to-be-forgotten buildings. In addition, dorsolateral prefrontal cortex activation changed throughout the trial period, possibly suggesting that the cue led to information being dropped from visual working memory, or through a shift in attention, as occurs with the retro-cue paradigm. Several explanations for these results are discussed.

Ella McCallum, Rachael C. Shaw

Abstract Self-control allows animals to resist instant gratification and invest more time and/or energy in better outcomes. However, widespread temporal self-control tasks lack ecological validity for many species, and few studies have explored whether self-control can be measured in the wild. We used a spatial discounting task resembling natural foraging decisions to measure self-control in wild toutouwai (Petroica longipes), a songbird endemic to New Zealand. Birds chose between a near, low-quality food item and a high-quality food item further away. Toutouwai showed striking individual variation in their self-control abilities. Validation tests suggested that our task reliably measured self-control in a spatial foraging context. However, individual-level performance was confounded by food preferences and the satiation and/or learning effects associated with increasing trial number, limiting the applicability of this task as a measure of individual variation in self-control. Nonetheless, we found no correlation between an individual’s self-control and their inhibitory control measured using a detour task, suggesting that self-control is a distinct ability from the suppression of impulsive motor actions in toutouwai. This study demonstrates for the first time that a bird is capable of self-control in a spatial context and provides suggestions for how future researchers may robustly quantify individual differences in self-control in the wild.

Irmak Su Tütüncü, Samantha N. Emerson, Jing Paul et al.

Speakers of different languages follow a three-way split in how they express motion events in speech—with a greater emphasis on manner in satellite-framed languages (English), path in verb-framed languages (Turkish), and comparable expression of manner and path in equipollently-framed languages (Chinese). According to the thinking-for-speaking account, these language-specific patterns can affect speakers’ representation of motion events but only when verbalizing the event. In this study, we asked whether language might influence learning novel words, particularly when the words were accompanied with gestures. We examined effects of language type (equipollent-framed: Chinese, satellite-framed: English, verb-framed: Turkish) and modality (speech-only, gesture+speech) on learning pseudowords for motion (manner, path). Our results showed that speakers of all three languages learned pseudowords for manner and path but with lower accuracy scores and slower rates of learning by Chinese speakers. Regardless of the language they spoke, participants learned manner words more accurately than path words, but with no added benefits of instruction with gesture+speech over speech-only. Taken together, our study extends the lack of language effect on nonverbal representation of events when not speaking to the domain of novel word learning across structurally different languages.

Diamantoula G. Persaki, Alexandra Nieri, Nikolaos G. Apostolidis et al.

Pilates is a holistic exercise focused on respiration, body control, and accuracy of movements, and it improves respiratory muscle strength, balance, quality of life, and overall physical performance. However, little is known about the effect of Pilates on sleep quality. The purpose of the present prospective observational study was to evaluate the effect of four months of Pilates training on the quality of sleep, aerobic capacity, and anaerobic power in premenopausal women. The sample consisted of 53 premenopausal women: one experimental group (n = 40) and one control group (n = 13). Participants in the experimental group received at least three one-hour sessions of Pilates exercise per week for 16 weeks. The two groups were similar at baseline. After 4 months of Pilates, the intervention group had significantly lower scores on the Athens Insomnia Scale, Epworth Sleepiness Scale, and autonomic arousal index compared to the baseline scores. The intervention group presented significant improvement in aerobic fitness, muscle strength, flexibility, balance, abdominal muscle endurance, as well as in the general health and social functioning subscales of the 36-Item Short Form Health Survey (SF-36). Pilates workouts appeared to improve sleep quality in premenopausal women, as well as the basic parameters of fitness and quality of life.

Maxwell J. D. Ramstead, Mahault Albarracin, Alex Kiefer et al.

This paper presents a model of consciousness that follows directly from the free-energy principle (FEP). We first rehearse the classical and quantum formulations of the FEP. In particular, we consider the inner screen hypothesis that follows from the quantum information theoretic version of the FEP. We then review applications of the FEP to the known sparse (nested and hierarchical) neuro-anatomy of the brain. We focus on the holographic structure of the brain, and how this structure supports (overt and covert) action.

Guillaume P. Pech, Emilie A. Caspar

According to the embodied cognition framework, cognitive functions are not confined to the brain but are also shaped by the mutual interactions between the brain, body, and external environment. In this regard, a theory developed in 2012, called enclothed cognition, suggests an effect on wearing specific clothing on various psychological processes. However, the neuro-cognitive mechanisms underlying the impact of clothing on behavior have received less systematic investigation. The present study examined the influence of clothing on prosocial behaviors, and focused on sense of agency, and empathy for pain as neuro-cognitive processes of interest. Participants (40 in total) wore civilian, military, and Red Cross uniforms. They were paired up and assigned as either agents or victims. Agents had the option to administer real electric shocks to victims for a monetary reward of +€0.05. They could choose to shock freely (free condition) or follow the experimenter’s instructions (coerced condition). We measured prosocial behavior by counting the number of shocks prevented, neural empathic response using electroencephalography with the P3 and the LPP, and sense of agency through an implicit method based on interval estimates. Findings showed that wearing the Red Cross uniform led to more prosocial behavior compared to civilian clothing. The Red Cross uniform also increased neural response to pain when participants witnessed shocks, compared to civilian or military clothing. Moreover, wearing a military uniform increased the sense of agency in the free condition, as compared to civilian clothing. This study broadens our knowledge on the impact of enclothed cognition on cognitive and psychological processes.

Hang Wu, Qiuyou Xie, Jiahui Pan et al.

Using task-dependent neuroimaging techniques, recent studies discovered a fraction of patients with disorders of consciousness (DOC) who had no command-following behaviors but showed a clear sign of awareness as healthy controls, which was defined as cognitive motor dissociation (CMD). However, existing task-dependent approaches might fail when CMD patients have cognitive function (e.g., attention, memory) impairments, in which patients with covert awareness cannot perform a specific task accurately and are thus wrongly considered unconscious, which leads to false-negative findings. Recent studies have suggested that sustaining a stable functional organization over time, i.e., high temporal stability, is crucial for supporting consciousness. Thus, temporal stability could be a powerful tool to detect the patient's cognitive functions (e.g., consciousness), while its alteration in the DOC and its capacity for identifying CMD were unclear. The resting-state fMRI (rs-fMRI) study included 119 participants from three independent research sites. A sliding-window approach was used to investigate global and regional temporal stability, which measured how stable the brain's functional architecture was across time. The temporal stability was compared in the first dataset (36/16 DOC/controls), and then a Support Vector Machine (SVM) classifier was built to discriminate DOC from controls. Furthermore, the generalizability of the SVM classifier was tested in the second independent dataset (35/21 DOC/controls). Finally, the SVM classifier was applied to the third independent dataset, where patients underwent rs-fMRI and brain-computer interface assessment (4/7 CMD/potential non-CMD), to test its performance in identifying CMD. Our results showed that global and regional temporal stability was impaired in DOC patients, especially in regions of the cingulo-opercular task control network, default-mode network, fronto-parietal task control network, and salience network. Using temporal stability as the feature, the SVM model not only showed good performance in the first dataset (accuracy = 90%), but also good generalizability in the second dataset (accuracy = 84%). Most importantly, the SVM model generalized well in identifying CMD in the third dataset (accuracy = 91%). Our preliminary findings suggested that temporal stability could be a potential tool to assist in diagnosing CMD. Furthermore, the temporal stability investigated in this study also contributed to a deeper understanding of the neural mechanism of consciousness.

Jason Langley, Daniel E. Huddleston, Ilana J. Bennett et al.

The pathology of Alzheimer's disease (AD) and mild cognitive impairment (MCI) is characterized by the presence of beta-amyloid extracellular plaques and neurofibrillary tangles containing hyper-phosphorylated tau. Individuals carrying the apolipoprotein E-e4 (APOE-e4) allele are at increased risk of cognitive decline and developing AD pathology. The development of positron emission tomography (PET) radioligands sensitive to tau neurofibrillary tangles, such as 18F-AV1451, has allowed for visualization and assessment of AD pathology in vivo. The radioligand used in 18F-AV1451 binds with iron in addition to tau neurofibrillary tangles. We employ multimodal neuroimaging analyses, combining iron-sensitive measures from MRI with 18F-AV1451 PET, to examine off-target binding effects in cohorts of 20 APOE-e4 negative, 20 APOE-e4 positive MCI, and 29 control participants. Increased tau pathology, after controlling for tissue susceptibility, was found in the temporal lobe and hippocampus of APOE-e4+ MCI participants as compared to APOE-e4 negative MCI and control participants. Tau pathology in the hippocampus was significantly related to memory, but only in APOE-e4+ participants. Correlations between hippocampal 18F-AV1451 PET uptake and cognitive correlations did not significantly differ when correcting for the influence of iron on 18F-AV1451 PET signal. However, controlling for susceptibility was found to influence correlations between tau-PET uptake and diffusion metrics and the change in this interaction may be due to the influence of iron on diffusivity. Taken together, these results suggest that iron does not need to be accounted for in group comparisons of tau-PET uptake or correlations between cognitive measures and tau-PET SUVR. However, iron should be taken into account in correlations between diffusion measures and tau-PET uptake.