Brain Processes Research Articles

Brain Glucose Metabolism and COMT Val 158 Met Polymorphism in Female Patients with Work-Related Stress.

Stress is a ubiquitous challenge in modern societies. Symptoms range from mood swings and cognitive impairment to autonomic symptoms. This study explores the link between work-related stress and the neurobiological element of brain processing, testing the hypothesis that patients with occupational stress have altered cerebral glucose consumption compared to healthy controls. The participants' present conditions were evaluated using an adapted WHO SCAN interview. Neural activity at rest was assessed by positron emission tomography (PET) with the glucose analogue [18F]fluorodeoxyglucose. Participants were genotyped for the Val158Met polymorphism of the COMT gene, believed to influence stress resilience. This study included 11 women with work-related stress and 11 demographically comparable healthy controls aged 28-62 years, with an average of 46.2 years. The PET scans indicated clusters of decreased glucose consumption primarily located in the white matter of frontal lobe sub-gyral areas in stress patients. COMT Val158Met polymorphism detection indicated no immediate relation of the homozygous alleles and stress resilience; however, healthy controls mainly had the heterozygous allele. In conclusion, the results support that work-related stress does affect the brain in the form of altered glucose metabolism, suggesting neurobiological effects could be related to white matter abnormalities rather than gray matter deterioration. Genotyping indicates a more complex picture than just that of the one type being more resilient to stress. Further studies recruiting a larger number of participants are needed to confirm our preliminary findings.

Neural correlates of distress and comfort in individuals with avoidant, anxious and secure attachment style: an fMRI study

ABSTRACT Despite a growing literature, experiments directly related to attachment are still needed. We explored brain processes involved in two aspects of attachment, distress and comfort. Seventy-eight healthy adult males with different attachment styles (secure, avoidant, and anxious) viewed distress, comfort, complicity-joy and neutral images (picture database BAPS-Adult) in an fMRI block design. ROIs from the modules described in the functional Neuro-Anatomical Model of Attachment (Long et al. 2020) were studied. Secure participants used more co- and self-regulation strategies and exhibited a higher activation of the reward network in distress and comfort viewing, than insecure participants. Avoidant participants showed the lower brain activations. Their approach and reward modules were the least activated in distress and comfort. Anxious participants presented both higher activations of the approach and aversion modules during complicity-joy. In addition, comfort and complicity-joy were processed differently according to attachment styles and should be differentiated among positive stimuli to disentangle attachment processes.

CREB-regulated transcription during glycogen synthesis in astrocytes

Glycogen storage, conversion and utilization in astrocytes play an important role in brain energy metabolism. The conversion of glycogen to lactate through glycolysis occurs through the coordinated activities of various enzymes and inhibition of this process can impair different brain processes including formation of long-lasting memories. To replenish depleted glycogen stores, astrocytes undergo glycogen synthesis, a cellular process that has been shown to require transcription and translation during specific stimulation paradigms. However, the detail nuclear signaling mechanisms and transcriptional regulation during glycogen synthesis in astrocytes remains to be explored. In this report, we study the molecular mechanisms of vasoactive intestinal peptide (VIP)-induced glycogen synthesis in astrocytes. VIP is a potent neuropeptide that triggers glycogenolysis followed by glycogen synthesis in astrocytes. We show evidence that VIP-induced glycogen synthesis requires CREB-mediated transcription that is calcium dependent and requires conventional Protein Kinase C but not Protein Kinase A. In parallel to CREB activation, we demonstrate that VIP also triggers nuclear accumulation of the CREB coactivator CRTC2 in astrocytic nuclei. Transcriptome profiles of VIP-induced astrocytes identified robust CREB transcription, including a subset of genes linked to glucose and glycogen metabolism. Finally, we demonstrate that VIP-induced glycogen synthesis shares similar as well as distinct molecular signatures with glucose-induced glycogen synthesis, including the requirement of CREB-mediated transcription. Overall, our data demonstrates the importance of CREB-mediated transcription in astrocytes during stimulus-driven glycogenesis.

Transcranial direct current stimulation over the right parietal cortex improves the depressive disorder: A preliminary study.

The right posterior parietal cortex is the core brain region of emotional processing and executive control network in the human brain, and the function of the right posterior parietal cortex is decreased in patients with major depressive disorder. This study aims to preliminarily investigate whether the excitation of the right posterior parietal cortex by transcranial direct current stimulation (tDCS) could improve their clinical symptoms. In this study, 12 patients with major depressive disorder were given tDCS treatment at Xuanwu Hospital of Capital Medical University and the First Hospital of Hebei Medical University. The stimulating electrode (anode) was placed on the patients' right parietal cortex, whereas the reference electrode (cathode) was placed on the patients' left mastoid. The stimulation intensity was set as 2.0mA. The patients with depressive disorder were treated for 20min at a time twice a day for 14 consecutive days. The severity of the clinical symptoms was evaluated using the Hamilton Depression Rating Scale-17 (HDRS-17) and the Hamilton Anxiety Rating Scale (HARS) at before and right after treatment. The HDRS-17 scores of patients with depressive disorder decreased significantly following the tDCS treatment compared with those before treatment (p<.001). Further analysis revealed that the patients' anxiety/somatization, cognitive deficit, retardation, and sleep disorder scores all decreased significantly after the tDCS treatment (p<.05), although there was no significant change in their weight. Moreover, the patients' HARS scores decreased significantly after the tDCS treatment when compared with those before treatment (p<.01). The right parietal cortex may be another key stimulation targets to improving the efficacy of tDCS treatment to the patients with major depressive disorder.

Spatiotemporal whole-brain activity and functional connectivity of melodies recognition.

Music is a non-verbal human language, built on logical, hierarchical structures, that offers excellent opportunities to explore how the brain processes complex spatiotemporal auditory sequences. Using the high temporal resolution of magnetoencephalography, we investigated the unfolding brain dynamics of 70 participants during the recognition of previously memorized musical sequences compared to novel sequences matched in terms of entropy and information content. Measures of both whole-brain activity and functional connectivity revealed a widespread brain network underlying the recognition of the memorized auditory sequences, which comprised primary auditory cortex, superior temporal gyrus, insula, frontal operculum, cingulate gyrus, orbitofrontal cortex, basal ganglia, thalamus, and hippocampus. Furthermore, while the auditory cortex responded mainly to the first tones of the sequences, the activity of higher-order brain areas such as the cingulate gyrus, frontal operculum, hippocampus, and orbitofrontal cortex largely increased over time during the recognition of the memorized versus novel musical sequences. In conclusion, using a wide range of analytical techniques spanning from decoding to functional connectivity and building on previous works, our study provided new insights into the spatiotemporal whole-brain mechanisms for conscious recognition of auditory sequences.

Brain and grammar: revealing electrophysiological basic structures with competing statistical models.

Acoustic, lexical, and syntactic information are simultaneously processed in the brain requiring complex strategies to distinguish their electrophysiological activity. Capitalizing on previous works that factor out acoustic information, we could concentrate on the lexical and syntactic contribution to language processing by testing competing statistical models. We exploited electroencephalographic recordings and compared different surprisal models selectively involving lexical information, part of speech, or syntactic structures in various combinations. Electroencephalographic responses were recorded in 32 participants during listening to affirmative active declarative sentences. We compared the activation corresponding to basic syntactic structures, such as noun phrases vs. verb phrases. Lexical and syntactic processing activates different frequency bands, partially different time windows, and different networks. Moreover, surprisal models based on part of speech inventory only do not explain well the electrophysiological data, while those including syntactic information do. By disentangling acoustic, lexical, and syntactic information, we demonstrated differential brain sensitivity to syntactic information. These results confirm and extend previous measures obtained with intracranial recordings, supporting our hypothesis that syntactic structures are crucial in neural language processing. This study provides a detailed understanding of how the brain processes syntactic information, highlighting the importance of syntactic surprisal in shaping neural responses during language comprehension.

Measures of Implicit and Explicit Adaptation Do Not Linearly Add.

Moving effectively is essential for any animal. Thus, many different kinds of brain processes likely contribute to learning and adapting movement. How these contributions are combined is unknown. Nevertheless, the field of motor adaptation has been working under the assumption that measures of explicit and implicit motor adaptation can simply be added in total adaptation. While this has been tested, we show that these tests were insufficient. We put this additivity assumption to the test in various ways and find that measures of implicit and explicit adaptation are not additive. This means that future studies should measure both implicit and explicit adaptation directly. It also challenges us to disentangle how various motor adaptation processes do combine when producing movements and may have implications for our understanding of other kinds of learning as well (data and code: https://osf.io/3yhw5).

Neurophenomenology and Neuroepistemology Approaches to Integrating Constructivist, Perennialist, and Universalist Perspectives on Mystical Experiences

Differences among constructivist, perennialist, and universalist perspectives on mystical experiences are bridged with neurophenomenology and neuroepistemology perspectives that illustrate constructivist and deconditioning processes and universal innate experiences. These approaches show that phenomenal similarities and differences in the features of meditative experiences are related to specific brain functions and processes. This illustrates that recurrent forms of mystical consciousness involve the activation or suspension of specific brain functions and their forms of knowing. Meditators’ deliberate modifications of brain processes engage constructivist and deconditioning processes that provide access to intrinsic states understood as mystical experiences. Deconditioning of habitual cognitive processes through meditation changes habitual attention and cognition, permitting access to preconceptual awareness and normally unconscious intrinsic mental processes. Different mystical experiences involve changes in specific neurologically mediated forms of self that provide the basis for universal forms of mystical experience. Neuroepistemological perspectives on qualia of meditative states and their relations to mental processes and brain features provide a framework for understanding recurrent forms of mystical experiences as natural brain states.

Feedback processing in the primate brain and in AI systems

Feedback processing in the primate brain and in AI systems

A genetic-epigenetic interplay at 1q21.1 locus underlies CHD1L-mediated vulnerability to primary progressive multiple sclerosis

Multiple Sclerosis (MS) is a heterogeneous inflammatory and neurodegenerative disease with an unpredictable course towards progressive disability. Treating progressive MS is challenging due to limited insights into the underlying mechanisms. We examined the molecular changes associated with primary progressive MS (PPMS) using a cross-tissue (blood and post-mortem brain) and multilayered data (genetic, epigenetic, transcriptomic) from independent cohorts. In PPMS, we found hypermethylation of the 1q21.1 locus, controlled by PPMS-specific genetic variations and influencing the expression of proximal genes (CHD1L, PRKAB2) in the brain. Evidence from reporter assay and CRISPR/dCas9 experiments supports a causal link between methylation and expression and correlation network analysis further implicates these genes in PPMS brain processes. Knock-down of CHD1L in human iPSC-derived neurons and knock-out of chd1l in zebrafish led to developmental and functional deficits of neurons. Thus, several lines of evidence suggest a distinct genetic-epigenetic-transcriptional interplay in the 1q21.1 locus potentially contributing to PPMS pathogenesis.

Dementia with Lewy bodies and gait neural basis: a cross-sectional study

BackgroundDementia with Lewy Bodies (DLB) is responsible for cognitive-behavioural disorders but also for gait disorders. The latter are thought to be related to parkinsonism, but the neural bases of these disorders are not well known, especially in the early stages. The aim of this study was to investigate by volumetric Magnetic Resonance Imaging the neuronal basis of gait disorders in DLB patients, compared to Healthy Elderly Controls and Alzheimer’s Disease patients.MethodsClinical examination with motor assessment including 10-meter walking speed, one-leg balance and Timed Up and Go test, a comprehensive neuropsychological evaluation and 3D brain Magnetic Resonance Imaging were performed on 84 DLB patients, 39 Alzheimer’s Disease patients and 22 Healthy Elderly Controls. We used Statistical Parametric Mapping 12 to perform a one-sample t-test to investigate the correlation between each gait score and gray matter volume (P ≤ 0.05 corrected for family-wise error).ResultsWe found a correlation for DLB patients between walking speed and gray matter decrease (P < 0.05, corrected for family-wise error) in caudate nuclei, anterior cingulate cortex, mid-cingulate cortex, hippocampi, supplementary motor area, right cerebellar cortex and left parietal operculum. We found no correlation with Timed Up and Go test and one-leg balance.ConclusionGait disorders are underpinned by certain classical regions such as the cerebellum and the supplementary motor area. Our results suggest there may be a motivational and emotional component of voluntary gait in DLB subjects, underpinned by the cingulate cortex, a spatial orientation component, underpinned by hippocampi and suggest the involvement of brain processing speed and parkinsonism, underpinned by the caudate nuclei.Trial registrationThe study protocol has been registered on ClinicalTrials.gov. (NCT01876459) on June 12, 2013.

From circuits to lifespan: translating mouse and human timelines with neuroimaging based tractography.

Age is a major predictor of developmental processes and disease risk, but humans and model systems (e.g., mice) differ substantially in the pace of development and aging. The timeline of human developmental circuits is well known. It is unclear how such timelines compare to those in mice. We lack age alignments across the lifespan of mice and humans. Here, we build upon our Translating Time resource, which is a tool that equates corresponding ages during development. We collected 477 time points (n=1,132 observations) from age-related changes in body, bone, dental, and brain processes to equate corresponding ages across humans and mice. We acquired high-resolution diffusion MR scans of mouse brains (n=12) at sequential stages of postnatal development (postnatal day 3, 4, 12, 21, 60) to trace the timeline of brain circuit maturation (e.g., olfactory association pathway, corpus callosum). We found heterogeneity in white matter pathway growth. The corpus callosum largely ceases to grow days after birth while the olfactory association pathway grows through P60. We found that a P3 mouse equates to a human at roughly GW24, and a P60 mouse equates to a human in teenage years. Therefore, white matter pathway maturation is extended in mice as it is in humans, but there are species-specific adaptations. For example, olfactory-related wiring is protracted in mice, which is linked to their reliance on olfaction. Our findings underscore the importance of translational tools to map common and species-specific biological processes from model systems to humans.

Beat frequency induced transitions in synchronization dynamics

In neurosciences, the brain processes information via the firing patterns of connected neurons operating across a spectrum of frequencies. To better understand the effects of these frequencies in the neuron dynamics, we have simulated a neuronal network of Izhikevich neurons to examine the interaction between frequency allocation and intermittent phase synchronization dynamics. As the synchronized population of neurons passes through a bifurcation, an additional frequency mode emerges, enabling a match in the mean frequency while retaining distinct most probable frequencies among neurons. Subsequently, the network intermittently transits between two patterns, one partially synchronized and the other unsynchronized. Through our analysis, we demonstrate that the frequency changes on the network lead to characteristic transition times between synchronization states. Moreover, these transitions adhere to beat frequency statistics when the neurons’ frequencies differ by multiples of a frequency gap. Finally, our results can improve the performance in predicting transitions on problems where the beat frequency strongly influences the dynamics.

Understanding Individual Motivations and Desistance: Interviews with Genocide Perpetrators from Rwanda and Cambodia

In this study, I present the results of interviews with forty-nine former genocide perpetrators from Rwanda and fifty-one former members of the Khmer Rouge in Cambodia to better understand motivations and desistance for participating in mass atrocities. I contrast these qualitative interviews with experimental research from psychology and neuroscience to offer an interdisciplinary approach to better understand their participation. The findings from the interviews show that a vast majority of respondents identified obedience to authority as a primary factor in their involvement. Many also cited the significant influence of group dynamics, particularly in Rwanda where many murders were carried out by armed groups. These reports align with two main forms of social influence: obedience to authority and conformity. Research in psychology and neuroscience had shown that obeying orders or conforming to a group can strongly alter our behaviors by affecting several brain processes. When questioned about desistance, a majority from both groups conceded that without intervention from an external military force, they would not have stopped participating on their own. This finding may be pivotal as it emphasizes the necessity of external intervention to stop mass atrocities.

When the Heart Meets the Mind: Exploring the Brain-Heart Interaction during Time Perception.

Recent studies suggest that time estimation relies on bodily rhythms and interoceptive signals. We provide the first direct electrophysiological evidence suggesting an association between the brain's processing of heartbeat and duration judgment. We examined heartbeat-evoked potential (HEP) and contingent negative variation (CNV) during an auditory duration-reproduction task and a control reaction-time task spanning 4, 8, and 12 s intervals, in both male and female participants. Interoceptive awareness was assessed with the Self-Awareness Questionnaire (SAQ) and interoceptive accuracy through the heartbeat-counting task (HCT). Results revealed that SAQ scores, but not the HCT, correlated with mean reproduced durations with higher SAQ scores associating with longer and more accurate duration reproductions. Notably, the HEP amplitude changes during the encoding phase of the timing task, particularly within 130-270 ms (HEP1) and 470-520 ms (HEP2) after the R-peak, demonstrated interval-specific modulations that did not emerge in the control task. A significant ramp-like increase in HEP2 amplitudes occurred during the duration-encoding phase of the timing but not during the control task. This increase within the reproduction phase of the timing task correlated significantly with the reproduced durations for the 8 s and the 4 s intervals. The larger the increase in HEP2, the greater the under-reproduction of the estimated duration. CNV components during the encoding phase of the timing task were more negative than those in the reaction-time task, suggesting greater executive resources orientation toward time. We conclude that interoceptive awareness (SAQ) and cortical responses to heartbeats (HEP) predict duration reproductions, emphasizing the embodied nature of time.

SARS-CoV-2 S1 subunit produces a protracted priming of the neuroinflammatory, physiological, and behavioral responses to a remote immune challenge: A role for corticosteroids

Long COVID is a major public health consequence of COVID-19 and is characterized by multiple neurological and neuropsychatric symptoms. SARS-CoV-2 antigens (e.g., spike S1 subunit) are found in the circulation of Long COVID patients, have been detected in post-mortem brain of COVID patients, and exhibit neuroinflammatory properties. Considering recent observations of chronic neuroinflammation in Long COVID patients, the present study explores the idea that antigens derived from SARS-CoV-2 might produce a long-term priming or sensitization of neuroinflammatory processes, thereby potentiating the magnitude and/or duration of the neuroinflammatory response to future inflammatory insults. Rats were administered S1 or vehicle intra-cisterna magna and 7d later challenged with vehicle or LPS. The neuroinflammatory, physiological, and behavioral responses to LPS were measured at various time points post-LPS. We found that prior S1 treatment potentiated many of these responses to LPS suggesting that S1 produces a protracted priming of these processes. Further, S1 produced a protracted reduction in basal brain corticosteroids. Considering the anti-inflammatory properties of corticosteroids, these findings suggest that S1 might disinhibit innate immune processes in brain by reducing anti-inflammatory drive, thereby priming neuroinflammatory processes. Given that hypocortisolism is observed in Long COVID, we propose that similar S1-induced innate immune priming processes might play role in the pathophysiology of Long COVID.

Theories of immune recognition: Is anybody right?

The clonal selection theory (CST) is the centrepiece of the current paradigm used to explain immune recognition and memory. Throughout the past decades, the original CST had been expanded and modified to explain new experimental evidences since its original publication by Burnet. This gave origin to new paradigms that govern experimental immunology nowadays, such as the associative recognition of antigen model and the stranger/danger signal model. However, these new theories also do not fully explain experimental findings such as natural autoimmune immunoglobulins, idiotypic networks, low and high dose tolerance, and dual-receptor T and B cells. To make sense of these empirical data, some authors have been trying to change the paradigm of immune cognition using a systemic approach, analogies with brain processing and concepts from second-order cybernetics. In the present paper, we review the CST and some of the theories/hypotheses derived from it, focusing on immune recognition. We point out their main weaknesses and highlight arguments made by their opponents and believers. We conclude that, until now, none of the proposed theories can fully explain the totality of immune phenomena and that a theory of everything is needed in immunology.

Chimera states and information transfer in interacting populations of map-based neurons

We investigate the synchronization behavior and the emergence of chimera states in a system of two interacting populations of maps possessing chaotic neural-like dynamics. We characterize four collective states on the space of coupling parameters of the system: complete synchronization, generalized synchronization, chimera states, and incoherence. We quantify the information exchange between the two neuron populations in chimera states. We have found a well-defined direction of the flow of information in chimera states, from the desynchronized population to the synchronized one. The incoherent population functions as a driver of the coherent neuron population in a chimera state. This feature is independent of the population sizes or population partitions. Our results yield insight into the communication mechanisms arising in brain processes such as unihemispheric sleep and epileptic seizures that have been associated to chimera states.

Post-COVID-19 cognitive impairments (literature review)

Post-COVID-19 condition (PCC) is a condition that occurs in patients with a history of SARS-CoV-2 infection 3 months after the onset of COVID-19 with symptoms that last at least 2 months and are not explained by any other diseases. PCC affects from 17% to 28% of patients and includes a wide range of clinical manifestations, including cognitive dysfunction. Cognitive dysfunctions can be manifested by a wide range of symptoms, such as memory impairment, attention deficit, executive dysfunction, and reduced information processing speed. Risk factors for developing PCC, with or without cognitive impairment, include late adulthood, pre-existing medical conditions, and severity of acute illness. The underlying mechanisms remain unclear, but suspected factors include neuroinflammation, hypoxia, vascular damage and latent reactivation of the virus, this does not exclude the possibility of direct viral central nervous system invasion. The analysis of retrospective cohort studies showed that the risk of cognitive deficits, dementia, psychotic disorders and seizures remained elevated even 2 years after the infection of SARS-CoV-2. It is interesting to note that there were no differences in the risks of neurological and psychiatric outcomes between infections caused by Omicron (B.1.1.529) or Delta (B.1.617.2) variants. Recent researches show that cognitive deficits after infection of SARS-CoV-2 persist for two years after the infection and were the greatest in individuals with more severe SARS-CoV-2 infection [2]. COVID-19 can impair the function of the interoceptive network of the brain selectively, while exteroceptive brain processing remains undamaged [3].

Derecho y neurociencia. La toma de decisión de los jueces

The text explores the relationship between neuroscience and law, focusing on how brain processes affect judicial decisions. Brain systems 1 and 2 are distinguished, as they operate intuitively and deliberately re-spectively, and their implications in perception, memory, cognitive biases, heuristics and decision making in the judicial field are examined. In ad-dition, the role of emotions, stress and empathy in judicial impartiality is analyzed, as well as the importance of non-verbal communication in the assessment of testimonial evidence. It is highlighted how personal biases and attitudes also influence decisions and it is suggested that awareness and training can mitigate these biases. In summary, knowledge of brain processes can improve the quality of judi-cial decisions by reducing the influence of cognitive biases and improving impartiality.