Functional connectivity (FC) during sleep has been shown to break down as non-rapid eye movement (NREM) sleep deepens before returning to a state closer to wakefulness during REM sleep. However, the specific spatial and temporal signatures of these fluctuations in connectivity patterns remain poorly understood. The goal of this study was to investigate how frequency-dependent network-level FC fluctuates during nocturnal sleep in healthy young adults using high-density electroencephalography (hdEEG). Specifically, we examined source-localized FC in resting-state networks during NREM2, NREM3, and REM sleep in the first three sleep cycles of 29 participants. Our results showed that FC within and between all resting-state networks decreased from NREM2 to NREM3 sleep in multiple frequency bands and in all sleep cycles. The data also highlighted a complex modulation of connectivity patterns during the transition to REM sleep whereby delta and sigma bands hosted a persistence of the connectivity breakdown in all networks, whereas a reconnection was observed in the default mode (DMN) and the attentional networks in frequency bands characterizing their organization during wake (i.e., alpha and beta bands, respectively). Finally, all network pairs (except the visual network) showed higher gamma-band FC during REM sleep in cycle three compared to earlier cycles during the night. Altogether, our results unravel the spatial and temporal characteristics of the well-known breakdown in connectivity observed as NREM sleep deepens. They also shed light on a complex pattern of connectivity during REM sleep that is consistent with both breakdown and reconnection processes that are network- and frequency-specific.

Auditory processing and the complexity of neural activity can both indicate residual conscious-ness levels and differentiate between states of arousal. However, how measures of neural signal diversity, or complexity, manifest in evoked activity, and, more generally, how the electrophys-iological characteristics of auditory responses change in states of reduced consciousness, re-main under-explored. Here, we tested the hypothesis that measures of neural complexity and the spectral slope would discriminate stages of sleep not only in spontaneous EEG, but also in auditory-evoked responses. High-density EEG was recorded in 21 participants to determine the spatial relationship between these measures, and between spontaneous and auditory-evoked signals. Results showed that the complexity and the spectral slope in the 2-20 Hz range dis-criminated between sleep stages and had a high correlation in sleep. In wakefulness, complexity was strongly correlated to the 20-40 Hz spectral slope. Auditory stimulation resulted in reduced complexity in sleep compared to spontaneous activity and modulated the spectral slope in wake-fulness. These findings demonstrate the persistence of electrophysiological markers of arousal during both spontaneous and evoked EEG activity and have direct applications to studies using auditory stimulation to probe neural functions in states of reduced consciousness.

Listening effort can be defined as a measure of cognitive resources used by listeners to perform a listening task. Several methods have been proposed to assess listening effort, but the reliability of these methods has not yet been thoroughly established, which is necessary before using them in research or clinical settings. This study included 32 participants who performed speech-in-noise tasks in two sessions (separated approx. 1 week apart) by listening to Sentences and Word lists presented at different signal-to-noise ratios (-9, -6, -3, and 0 dB). We assessed the test-retest reliability of the self-reported measure of listening effort and frontal midline theta (Fmθ) power, which has been proposed as a neural correlate of listening effort. The reliability of the percentage of correct words was also examined. Relative and absolute reliability was evaluated using intraclass correlation coefficients (ICC) and Bland-Altman analysis, respectively. The standard error of measurement (SEM) and the smallest detectable change (SDC) were also assessed. Overall, the reliability analysis revealed an acceptable between-session variability for the correct words and effort rating. However, Fmθ power showed high variability, which brings into question its use as a reliable correlate of listening effort.

The rise of deepfakes and AI-generated images has raised concerns regarding their potential misuse in society. However, this commentary highlights the valuable opportunities these technologies offer for neuroscience research. Deepfakes provide accessible, realistic, and customisable dynamic face stimuli, while generative adversarial networks (GANs) can generate and modify diverse and high-quality static content. These advancements enhance the variability and ecological validity of research methods, and enable the creation of previously unattainable stimuli. When AI-generated images are informed by brain responses, they provide unique insights into the structure and function of visual systems. The authors encourage experimental psychologists and cognitive neuroscientists to stay informed about these emerging tools and embrace their potential to advance visual neuroscience.

A major challenge in neuroscience is to pinpoint neurobiological correlates of specific cognitive and neuropsychiatric traits. At the mesoscopic level, promising candidates for establishing such connections are brain oscillations that can be robustly recorded as local field potentials with varying frequencies in the hippocampus in vivo and in vitro. Inbred mouse strains show natural variation in hippocampal synaptic plasticity (e.g., long-term potentiation), a cellular correlate of learning and memory. However, their diversity in expression of different types of hippocampal network oscillations has not been fully explored. Here, we investigated hippocampal network oscillations in three widely used inbred mouse strains: C57BL/6J (B6J), C57BL/6NCrl (B6N) and 129S2/SvPasCrl (129) with the particular aim to identify common oscillatory characteristics in inbred mouse strains that show aberrant emotional/cognitive behaviour (B6N and 129) and compare them to “control” B6J strain. First, we detected higher gamma oscillation power in the hippocampal CA3 of both B6N and 129 strains. Second, an increased incidence of hippocampal sharp wave-ripple (SW-R) transients was evident in these strains. Third, we observed prominent differences in the densities of distinct interneuron types and CA3 associative network activity which are indispensable for sustainment of mesoscopic network oscillations. Together, these results supports the notion that in vitro hippocampal network oscillations, similar to classical plasticity read-outs measured in hippocampal slices, can be used as robust reductionist models to study electrophysiological correlates of emotional and cognitive phenotypes. Importantly, we add further evidence to profound physiological differences among inbred mouse strains commonly used in neuroscience research.

Parkinson’s Disease (PD) and vitamin D share a unique link as Vitamin D deficiency (VDD) prevails in PD. Thus, an in-depth understanding of Vitamin D biology in PD might be crucial for therapeutic strategies emphasizing Vitamin D. Specifically, explicating the effect of VDD and genetic polymorphisms of vitamin D-associated genes in PD, like VDR (Vitamin D Receptor) or GC (Vitamin D Binding Protein), may aid the process along with polymorphisms of Vitamin D metabolizing genes (e.g., CYP2R1, CYP27A1) in PD. Literature review of single nucleotide polymorphisms (SNPs) related to Vitamin D levels [GC (GC1-rs7041, GC2-rs4588), CYP2R1, CYP24A1, CYP27B1] and Vitamin D function [VDR (FokI - rs2228570, ApaI - rs7976091, BsmI-rs1544410, TaqI-rs731236)] was conducted to explore their relationship with PD severity globally. Furthermore, the DisGeNET database was utilized to explore the gene-disease associations in PD, and STRING alongside Cytoscape was utilized to identify critical genes associated with PD. VDR-FokI polymorphism was reported to be significantly associated with PD in Hungarian, Chinese, and Japanese populations, whereas VDR-ApaI polymorphism was found to affect PD in the Iranian population. However, VDR-TaqI and BsmI polymorphisms had no significant association with PD severity. Conversely, GC1 polymorphisms reportedly affected Vitamin D levels without influencing the disease severity. CYP2R1 (excluding rs1993116) was also reportedly linked to clinical manifestations of PD. Genetic polymorphisms might cause VDD despite enough sunlight exposure and vitamin D-rich food intake, enhancing inflammation, and thereby influencing PD pathophysiology. Knowledge of the polymorphisms associated with vitamin D appears promising for developing new therapeutic strategies against PD.

Aims: to systematically review the prevalence of DCD in individuals born preterm; explore this prevalence according to gestational age and different assessments cut-offs; and compare to full-term peers. Methods: The eligibility criteria was observational and experimental studies reporting the prevalence of DCD in preterm individuals. A systematic search was performed in databases from inception until March 2022. The selection was performed by two independent reviewers. Study quality assessment was performed using the checklists from Joanna Briggs Institute (JBI). Data analysis were performed on Excel and Review Manager Software 5.4. Results: Among the 1774 studies identified, 32 matched the eligibility criteria. The pooled estimates of DCD rate in preterm was 21% (95% CI 17.8–24.3). The estimate rates were higher as gestational age decreased, and preterm children are two times more likely to have DCD than their full-term peers RR 2.2 (95% IC 1.77–2.79). Interpretation: The limitation was high heterogeneity between studies: the assessment tools and cut-off points, as well as the age at assessment, were diverse. This study provided evidence that preterm children are at higher risk for DCD than full-term children, and the risks increased as gestational age decreased.

The clinical assessment of patients with disorders of consciousness (DoC) relies on the observation of behavioral responses to standardized sensory stimulation. However, several medical comorbidities may directly impair the production of reproducible and appropriate responses, thus reducing the sensitivity of behavior-based diagnoses. One of these is Akinetic Mutism (AM), a rare neurological syndrome characterized by the inability to initiate volitional motor responses, sometimes associated with clinical presentations overlapping with those of DoC. Here we describe the case of a patient with large bilateral mesial frontal lesions showing a prolonged behavioral unresponsiveness and a severe disorganization of electroencephalographic (EEG) background, compatible with a vegetative state/unresponsive wakefulness syndrome (VS/UWS). By applying an unprecedented battery of multimodal longitudinal measurements encompassing spontaneous EEG, evoked potentials, event-related potentials, transcranial magnetic stimulation-evoked potentials, and structural and functional MRI, we provide (i) a demonstration of the preservation of consciousness despite unresponsiveness in the context of a complete AM, (ii) a plausible neurophysiological explanation of behavioral unresponsiveness and of its subsequent recovery during rehabilitation stay and (iii) novel insights into the relationships between DoC, AM and parkinsonism. The present case provides proof-of-principle evidence supporting the clinical utility of a multimodal hierarchical workflow combining conventional and advanced techniques to detect covert signs of consciousness in unresponsive patients.

Dopamine, a catecholamine neurotransmitter, has historically been associated with the encoding of reward, whereas its role in aversion has received less attention. Here, we systematically gathered the vast evidence of the role of dopamine in the simplest forms of aversive learning: classical fear conditioning and extinction. In the past, crude methods were used to augment or inhibit dopamine to study its relationship with fear conditioning and extinction. More advanced techniques such as conditional genetic, chemogenic, and optogenetic approaches now provide causal evidence for dopamine's role in these learning processes. Dopamine neurons encode conditioned stimuli during fear conditioning and extinction, and convey the signal via activation of D1-4 receptor sites particularly in the amygdala, prefrontal cortex, and striatum. The coordinated activation of dopamine receptors allows for the continuous formation, consolidation, retrieval, and updating of fear and extinction memory in a dynamic and reciprocal manner. Based on the reviewed literature, we conclude that dopamine is crucial for the encoding of classical fear conditioning and extinction and contributes in a way that is comparable to its role in encoding reward.

The emergence of compulsive drug seeking habits, a hallmark feature of substance use disorder, has been shown to be predicated on the engagement of dorsolateral striatum (DLS) control over behaviour, which is underpinned by a dopamine-dependent functional coupling of the nucleus accumbens and the DLS. However, the mechanisms by which this coupling occurs have not been fully elucidated. The striatum is tiled by a syncytium of astrocytes that express the dopamine transporter (DAT), whose expression is altered in individuals with a heroin use disorder. Thus, astrocytes are uniquely placed functionally to bridge dopamine-dependent mechanisms across the striatum. Thus, here we tested the hypothesis that exposure to heroin, which does not interact with DAT, influences its expression in astrocytes across the striatum before the development of DLS-dependent incentive heroin seeking habits. Using Western-blot, qPCR and RNAscope we measured DAT protein and mRNA levels in whole tissue, cultured or in situ astrocytes from striatal territories of rats with a well-established cue-controlled heroin seeking habit and rats trained to respond for heroin or food under continuous reinforcement. Incentive heroin seeking habits were associated with a reduction in DAT protein levels in the anterior DLS (aDLS) that was preceded by a heroin-induced reduction in DAT mRNA and protein content in astrocytes across the striatum. aDLS astrocytes were also shown to be uniquely susceptible to direct dopamine- and opioid-induced downregulation of DAT expression. These results suggest that astrocytes may critically regulate the striatal dopaminergic adaptations that lead to the development of incentive habits for heroin.

A document by Michael Willis. Click on the document to view its contents.

A document by Anton Porsteinsson. Click on the document to view its contents.

Alzheimer’s Disease (AD) is a familial or sporadic severe neurodegenerative disorder that leads to short-term memory impairment followed by progressive cognitive deterioration of executive functions. AD frequency is increasing with a consequent socio-economic burden and there is an urgent need to understand its aetiological complexity, find reliable animal models and identify effective therapeutic treatments. AD diagnosis relies on a series of neuropsychiatric criteria and the detection of two pathognomonic protein aggregates in the brain parenchyma: amyloid plaques and neurofibrillary tangles. The concurrence of these aggregates seems to be mostly present in humans. In this issue, Vacher and colleagues demonstrate the notable coexistence of AP deposition and hyperphosphorylated tau in the brains of dolphins. Here we discuss the relevance of this finding and how they could help understanding AD

Individuals diagnosed with schizophrenia spectrum disorders (SSD) exhibit a constellation of sensory and perceptual impairments, including hyporeactivity to external input. However, individuals with SSD also report subjective experiences of sensory flooding, suggesting sensory hyperexcitability. To identify the extent to which behavioral indices of hyperexcitability are related to non-psychotic symptoms of schizophrenia, we tested a non-clinical population measured for schizophrenia-like traits (schizotypy), and a behavioral measure of sensory hyperexcitability, specifically the number of illusions seen in the Pattern Glare Test. Two samples totaling 913 individuals completed an online version of the Schizotypal Personality Questionnaire – Brief Revised (SPQ-BR) and the Pattern Glare Test. Individuals with higher schizotypy traits reported more illusions in the Pattern Glare Test. Additionally, one of the three SPQ-BR factors, the disorganized factor, significantly predicted the number of illusions reported. These data illustrate the potential for research in non-clinical samples to inform clinically relevant research.

Environmental factors interact with biological and genetic factors influencing the development and well-being of an organism. The interest to better understand the role of environment on behavior and physiology led to the development of animal models of environmental manipulations. Environmental Enrichment (EE), an environmental condition that allows cognitive and sensory stimulation as well as social interaction, improves cognitive function, reduces anxiety and depressive-like behavior, and promotes neuroplasticity. In addition, it exerts protection against neurodegenerative disorders, cognitive aging and deficits aggravated by stressful experiences. Given the beneficial effects of EE on brain and behavior, preclinical studies focus on its protective role as an alternative, non-invasive manipulation, to help an organism to cope better with stress. A valid, reliable and effective animal model of chronic stress that enhances anxiety and depression-like behavior is the Chronic Unpredictable Mild Stress (CUMS). The variety of stressors and the unpredictability in the time and sequence of exposure to prevent habituation, render CUMS an ethologically relevant model. CUMS has been associated with dysregulation of the Hypothalamic-Pituitary-Adrenal axis, elevation in the basal levels of stress hormones, reduction in brain volume, dendritic atrophy and alterations in markers of synaptic plasticity. Although numerous studies have underlined the compensatory role of EE against the negative effects of various chronic stress regimens (e.g., restraint, social isolation), research concerning the interaction between EE and CUMS is sparse. The purpose of the current systematic review is to present up-to-date research findings regarding the protective role of EE against the negative effects of CUMS.

The aim of this study was to clarify the effects of transcutaneous vagus nerve stimulation (tVNS) to the left cymba concha on the pain perception using nociceptive withdrawal reflex (NWR), which is known to be associated with chronic pain, and to investigate whether tVNS-induced suppression of the NWR and parasympathetic activation is correlated. We applied either 3.0 mA, 100 Hz tVNS for 120 s in the left cymba concha (tVNS condition) or the left earlobe (Sham condition) for twenty healthy adults. NWR threshold was measured before (Baseline), immediately after (Post 0), 10 min (Post 10) and 30 min after (Post 30) stimulation. The NWR threshold was obtained from biceps femoris muscle by applying electrical stimulation to the sural nerve. During tVNS, electrocardiograph was recorded, and changes in autonomic nervous activity were analyzed. We found that the NWR thresholds at Post 10 and Post 30 increased compared to baseline in the tVNS group (10 min after: p = 0.048 30 min after: p = 0.037). In addition, increased parasympathetic activity by tVNS correlated with a greater increase in NWR threshold at Post 10 and Post 30 (Post 10: p = 0.01; Post 30: p = 0.005). The present results demonstrate the pain-suppressing effect of tVNS as assessed with NWR threshold and suggest that the degree of parasympathetic activation during tVNS may predict the effect of tVNS after its application.

Millions of people suffer from dopamine-related disorders spanning disturbances in movement, cognition and emotion, often attributed to changes in striatal dopamine function. Understanding how dopamine signaling in the striatum and basal ganglia shapes human behavior is fundamental to advancing the treatment of affected patients. Dopaminergic neurons innervate large scale brain networks and many different roles for dopamine signals have been proposed, such as invigoration of movement and tracking of reward contingencies. The canonical circuit architecture of cortico-striatal loops sparks the question, whether dopamine signals in the basal ganglia serve an overarching computational principle which could provide new insights into symptom generation in psychiatry to neurology. Here, we review the perspective that dopamine could bidirectionally control neural population dynamics, increasing, or decreasing their strength and likelihood to reoccur in the future, a process previously termed neural reinforcement. We outline how the basal ganglia pathways could drive strengthening and weakening of circuit dynamics and discuss the implication of this hypothesis on the understanding of motor signs of Parkinson’s disease (PD), the most frequent dopaminergic disorder. We propose that loss of dopamine in PD may lead to a pathological brain state where repetition of neural activity leads to weakening and instability, possibly explanatory for the fact that movement in PD deteriorates with repetition, as defined by the sequence effect or decrement of movement. Finally, we speculate on how therapeutic interventions such as deep brain stimulation (DBS) may be able to reinstate reinforcement signals and thereby improve treatment strategies of PD in the future.

Schizophrenia is an incurable psychotic illness. Those diagnosed have limited pharmacological treatment options, many of which do not provide long term relief and come with unpleasant side effects. The endocannabinoid and serotonergic systems are important neuromodulators in psychotic illness. We hypothesize that cannabidiolic acid methyl ester (HU-580) that exerts action on both these systems could have therapeutic potential by antagonizing cannabinoid receptor-1 (CB1R) and agonizing 5-hydroxytryptamine receptor-1A (5-HT1AR). We employed behavioural and brain protein analyses in male and female mice exposed to MK-801, which precipitated schizophrenia-related reactivity across a number of behavioural dimensions. C57BL/6 mice were subjected to a battery of behavioral tests, and we found that subchronic treatment of MK-801 (once daily for seven days) induced positive-like, negative-like, and cognitive-related behavioral deficits; primarily in females. Sub-chronic treatment of MK-801 (once daily for 17 days) induced positive- and negative-like behavioral deficits in females. Low-dose (0.01ug/kg) but not high-dose (0.05 ug/kg) treatment rescued female mice from schizophrenia-related behavioral deficits. Altogether, these data suggest that HU-580 may have dose-dependent antipsychotic-like potential that rely on mechanisms that recruit CB1R and 5-HT1AR.