Default mode network functional connectivity as a transdiagnostic biomarker of cognitive function.

The default mode network (DMN) is intricately linked with processes such as self-referential thinking, episodic memory recall, goal-directed cognition, self-projection, and theory of mind. Over recent years, there has been a surge in examining its functional connectivity, particularly its relationship with frontoparietal networks (FPN) involved in top-down attention, executive function, and cognitive control. The fluidity in switching between these internal and external modes of processing-highlighted by anti-correlated functional connectivity-has been proposed as an indicator of cognitive health.

A Digital Phenotypic Assessment in Neuro-Oncology (DANO): A Pilot Study on Sociability Changes in Patients Undergoing Treatment for Brain Malignancies.

Background: The digital phenotyping tool has great potential for the deep characterization of neurological and quality-of-life assessments in brain tumor patients. Phone communication activities (details on call and text use) can provide insight into the patients' sociability.

Methods: We prospectively collected digital-phenotyping data from six brain tumor patients.

Optimization of antidepressant treatment by pharmacogenomics: a case report.

Background: Few new psychiatric drugs have entered the market in recent decades; in contrast, the number of drugs carrying pharmacogenomic labels continues to increase. For the foreseeable future, the advancement of psychiatry and drug therapy may hinge on personalized treatment. Currently, antipsychotic or antidepressant choices rely heavily on the clinical experience of psychiatrists and potentially lengthy iterative trials.

Revisiting human language and speech production network: a meta-analytic connectivity modeling study.

In recent decades, converging evidence has reached a consensus that human speech production is carried out by large-scale hierarchical network comprising both language-selective and domain-general systems. However, it remains unclear how these systems interact during speech production and the specific contributions of their component regions. By utilizing a series of meta-analytic approaches based on various language tasks, we dissociated four major systems in this study: domain-general, high-level language, motor-perception, and speech-control systems in this study.

Gaming disorder: Neural mechanisms and ongoing debates.

Background And Aims: The inclusion of gaming disorder as a new diagnosis in the 11th revision of the International Statistical Classification of Diseases (ICD-11) has caused ongoing debate. This review aimed to summarise the potential neural mechanisms of gaming disorder and provide additional evidence for this debate.

Methods: We conducted a comprehensive literature review of gaming disorder, focusing on studies that investigated its clinical characteristics and neurobiological mechanisms.

A simple polydopamine-based platform for engineering extracellular vesicles with brain-targeting peptide and imaging probes to improve stroke outcome.

Extracellular vesicles (EVs) have shown great potential for treating various diseases. Translating EVs-based therapy from bench to bedside remains challenging due to inefficient delivery of EVs to the injured area and lack of techniques to visualize the entire targeting process. Here we developed a dopamine surface functionalization platform that facilitates easy and simultaneous conjugation of targeting peptide and multi-mode imaging probes to the surface of EVs.

Connectome-Based Predictive Modeling of Trait Mindfulness.

Trait mindfulness refers to one's disposition or tendency to pay attention to their experiences in the present moment, in a non-judgmental and accepting way. Trait mindfulness has been robustly associated with positive mental health outcomes, but its neural underpinnings are poorly understood. Prior resting-state fMRI studies have associated trait mindfulness with within- and between-network connectivity of the default-mode (DMN), fronto-parietal (FPN), and salience networks.

Cortical direction selectivity increases from the input to the output layers of visual cortex.

Sensitivity to motion direction is a feature of visual neurons that is essential for motion perception. Recent studies have suggested that direction selectivity is re-established at multiple stages throughout the visual hierarchy, which contradicts the traditional assumption that direction selectivity in later stages largely derives from that in earlier stages. By recording laminar responses in areas 17 and 18 of anesthetized cats of both sexes, we aimed to understand how direction selectivity is processed and relayed across 2 successive stages: the input layers and the output layers within the early visual cortices.

Novel Genes Associated With Working Memory Are Identified by Combining Connectome, Transcriptome, and Genome.

Working memory (WM) plays a crucial role in human cognition. Previous candidate and genome-wide association studies have reported many genetic variations associated with WM. However, little research has examined genetic basis of WM by using transcriptome, even though it reflects gene function more directly than does the genome.

Association between auditory mismatch negativity and visual working memory in school-age children with attention deficit/hyperactivity disorder.

Background: Attention-deficit/hyperactivity disorder (ADHD) patients exhibit characteristics of impaired working memory (WM) and diminished sensory processing function. This study aimed to identify the neurophysiologic basis underlying the association between visual WM and auditory processing function in children with ADHD.

Methods: The participants included 86 children with ADHD (aged 6-15 years, mean age 9.

Domain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable Sleep Assessment Technology.

Wearable accelerometers are widely used as an ecologically valid and scalable solution for long-term at-home sleep monitoring in both clinical research and care. In this study, we applied a deep learning domain adversarial convolutional neural network (DACNN) model to this task and demonstrated that this new model outperformed existing sleep algorithms in classifying sleep-wake and estimating sleep outcomes based on wrist-worn accelerometry. This model generalized well to another dataset based on different wearable devices and activity counts, achieving an accuracy of 80.

Universality of representation in biological and artificial neural networks.

Many artificial neural networks (ANNs) trained with ecologically plausible objectives on naturalistic data align with behavior and neural representations in biological systems. Here, we show that this alignment is a consequence of convergence onto the same representations by high-performing ANNs and by brains. We developed a method to identify stimuli that systematically vary the degree of inter-model representation agreement.

Red-shifted GRAB acetylcholine sensors for multiplex imaging .

The neurotransmitter acetylcholine (ACh) is essential in both the central and peripheral nervous systems. Recent studies highlight the significance of interactions between ACh and various neuromodulators in regulating complex behaviors. The ability to simultaneously image ACh and other neuromodulators can provide valuable information regarding the mechanisms underlying these behaviors.

Genetically Labeled Premyelinating Oligodendrocytes: Bridging Oligodendrogenesis and Neuronal Activity.

To myelinate axons, oligodendrocyte precursor cells (OPCs) must stop dividing and differentiate into premyelinating oligodendrocytes (preOLs). PreOLs are thought to survey and begin ensheathing nearby axons, and their maturation is often stalled at human demyelinating lesions. Lack of genetic tools to visualize and manipulate preOLs has left this critical differentiation stage woefully understudied.

Pathogen stress heightens sensorimotor dimensions in the human collective semantic space.

Infectious diseases have been major causes of death throughout human history and are assumed to broadly affect human psychology. However, whether and how conceptual processing, an internal world model central to various cognitive processes, adapts to such salient stress variables remains largely unknown. To address this, we conducted three studies examining the relationship between pathogen severity and semantic space, probed through the main neurocognitive semantic dimensions revealed by large-scale text analyses: one cross-cultural study (across 43 countries) and two historical studies (over the past 100 years).

Calcium/calmodulin-dependent protein kinase II α and β differentially regulate mammalian sleep.

While sleep is important, our understanding of its molecular mechanisms is limited. Over the last two decades, protein kinases including Ca/calmodulin-dependent protein kinase II (CaMKII) α and β have been implicated in sleep regulation. Of all the known mouse genetic mutants, the biggest changes in sleep is reported to be observed in adult mice with sgRNAs for Camk2b injected into their embryos: sleep is reduced by approximately 120 min (mins) over 24 h (hrs).

Imaging biomarker associated with early neurological deterioration in isolated pontine infarction.

Objective: To investigate the association between cerebral small vessel disease burden, along with its individual imaging features, as well as other imaging features and early neurological deterioration in isolated pontine infarction.

Methods: 107 patients with acute isolated pontine infarcts, within 24 h of symptom onset, were retrospectively analyzed. The mean age of the participants was 67 years.

Rational engineering of minimally immunogenic nucleases for gene therapy.

Genome editing using CRISPR-Cas systems is a promising avenue for the treatment of genetic diseases. However, cellular and humoral immunogenicity of genome editing tools, which originate from bacteria, complicates their clinical use. Here we report reduced immunogenicity (Red)(i)-variants of two clinically relevant nucleases, SaCas9 and AsCas12a.

Single-molecule two- and three-colour FRET studies reveal a transition state in SNARE disassembly by NSF.

SNARE (soluble N-ethylmaleimide sensitive factor attachment protein receptor) proteins are the minimal machinery required for vesicle fusion in eukaryotes. Formation of a highly stable four-helix bundle consisting of SNARE motif of these proteins, drives vesicle/membrane fusion involved in several physiological processes such as neurotransmission. Recycling/disassembly of the protein machinery involved in membrane fusion is essential and is facilitated by an AAA+ ATPase, N-ethylmaleimide sensitive factor (NSF) in the presence of an adapter protein, α-SNAP.

Dynamic tracking of objects in the macaque dorsomedial frontal cortex.

A central tenet of cognitive neuroscience is that humans build an internal model of the external world and use mental simulation of the model to perform physical inferences. Decades of human experiments have shown that behaviors in many physical reasoning tasks are consistent with predictions from the mental simulation theory. However, evidence for the defining feature of mental simulation - that neural population dynamics reflect simulations of physical states in the environment - is limited.

Time Course of Orientation Ensemble Representation in the Human Brain.

Natural scenes are filled with groups of similar items. Humans employ ensemble coding to extract the summary statistical information of the environment, thereby enhancing the efficiency of information processing, something particularly useful when observing natural scenes. However, the neural mechanisms underlying the representation of ensemble information in the brain remain elusive.

Calcineurin: An essential regulator of sleep revealed by biochemical, chemical biological, and genetic approaches.

Research into mechanisms underlying sleep traditionally relies on electrophysiology and genetics. Because sleep can only be measured on whole animals by behavioral observations and physical means, no sleep research was initiated by biochemical and chemical biological approaches. We used phosphorylation sites of kinases important for sleep as targets for biochemical and chemical biological approaches.

Distinct serial dependence between small and large numerosity processing.

The serial dependence effect (SDE) is a perceptual bias where current stimuli are perceived as more similar to recently seen stimuli, possibly enhancing the stability and continuity of visual perception. Although SDE has been observed across many visual features, it remains unclear whether humans rely on a single mechanism of SDE to support numerosity processing across two distinct numerical ranges: subitizing (i.e.

STNGS: a deep scaffold learning-driven generation and screening framework for discovering potential novel psychoactive substances.

The supervision of novel psychoactive substances (NPSs) is a global problem, and the regulation of NPSs was heavily relied on identifying structural matches in established NPSs databases. However, violators could circumvent legal oversight by altering the side chain structure of recognized NPSs and the existing methods cannot overcome the inaccuracy and lag of supervision. In this study, we propose a scaffold and transformer-based NPS generation and Screening (STNGS) framework to systematically identify and evaluate potential NPSs.