Distinct Behavioural and Brain Response Profiles Between Arithmetic Word Problem Solving and Sentence Comprehension in Third and Fourth Graders.

Word problems are essential for math learning and education, bridging numerical knowledge with real-world applications. Despite their importance, the neural mechanisms underlying word problem solving, especially in children, remain poorly understood. Here, we examine children's cognitive and brain response profiles for arithmetic word problems (AWPs), which involve one-step mathematical operations, and compare them with nonarithmetic word problems (NWPs), structured as parallel narratives without numerical operations.

Fostering effective hybrid human-LLM reasoning and decision making.

The impressive performance of modern Large Language Models (LLMs) across a wide range of tasks, along with their often non-trivial errors, has garnered unprecedented attention regarding the potential of AI and its impact on everyday life. While considerable effort has been and continues to be dedicated to overcoming the limitations of current models, the potentials and risks of human-LLM collaboration remain largely underexplored. In this perspective, we argue that enhancing the focus on human-LLM interaction should be a primary target for future LLM research.

Perception of animate motion in dogs.

Various motion cues can lead to the perception of animacy, including (1) simple motion characteristics such as starting to move from rest, (2) motion patterns of interactions like chasing, or (3) the motion of point-lights representing the joints of a moving biological agent. Due to the relevance of dogs in comparative research and considering the large variability within the species, studying animacy perception in dogs can provide unique information about how selection for specific traits and individual-level (social) differences may shape social perception. Despite these advantages, only a few studies have investigated the phenomenon in dogs.

Action toward sound sources enhances auditory spatial confidence: on the metacognitive consequences of reaching to sounds.

Each perceptual process is accompanied with an evaluation regarding the reliability of what we are perceiving. The close connection between confidence in perceptual judgments and planning of actions has been documented in studies investigating visual perception. Here, we extend this investigation to auditory perception by focusing on spatial hearing, in which the interpretation of auditory cues can often present uncertainties.

Decoding the rhythmic representation and communication of visual contents.

Rhythmic neural activity is considered essential for adaptively modulating responses in the visual system. In this opinion article we posit that visual brain rhythms also serve a key function in the representation and communication of visual contents. Collating a set of recent studies that used multivariate decoding methods on rhythmic brain signals, we highlight such rhythmic content representations in visual perception, imagery, and prediction.

Machine learning-based prediction of illness course in major depression: The relevance of risk factors.

Background: Major depressive disorder (MDD) comes along with an increased risk of recurrence and poor course of illness. Machine learning has recently shown promise in the prediction of mental illness, yet models aiming to predict MDD course are still rare and do not quantify the predictive value of established MDD recurrence risk factors.

Methods: We analyzed N = 571 MDD patients from the Marburg-Münster Affective Disorder Cohort Study (MACS).

Beyond the binary: Inferential challenges and solutions in cognitive archaeology.

We welcome Stibbard-Hawkes's empirical contributions and discussion of interpretive challenges for archaeology, but question some of his characterizations and conclusions. Moving beyond critique, it is time to develop new research methods that eschew simplistic modern/premodern binaries. We advocate an inductive, probabilistic approach using multiple lines of evidence to infer the causes and consequences of behavioral variability across time and space.

Circuit dynamics of approach-avoidance conflict in humans.

Debilitating anxiety is pervasive in the modern world. Choices to approach or avoid are common in everyday life and excessive avoidance is a cardinal feature of all anxiety disorders. Here, we used intracranial EEG to define a distributed prefrontal-limbic circuit dynamics supporting approach and avoidance.

Prosodic variation between contexts in infant-directed speech.

Speakers consider their listeners and adjust the way they communicate. One well-studied example is the register of infant-directed speech (IDS), which differs acoustically from speech directed to adults. However, little work has explored how parents adjust speech to infants across different contexts.

A left-to-right bias in number-space mapping across ages and cultures.

Number and space are inherently related. Previous research has provided evidence that numbers are aligned to a so-called "mental number line", which is malleable and affected by cultural factors mostly linked to literacy-related habits. However, preverbal humans and non-human animals also map numerosities into space, in a consistent left-to-right direction.

Quantifying sighting dominance using on-display projections of monocular and binocular views.

Sighting dominance is an important behavioral property which has been difficult to measure quantitatively with high precision. We developed a measurement method that is grounded in a two-camera model that satisfies these aims. Using a simple alignment task, this method quantifies sighting ocular dominance during binocular viewing, identifying each eye's relative contribution to binocular vision.

Electroencephalography-guided transcranial direct current stimulation improves picture-naming performance.

Transcranial direct current stimulation (tDCS) is a potential method for improving verbal function by stimulating Broca's area. Previous studies have shown the effectiveness of using functional magnetic resonance imaging (fMRI) to optimize the stimulation site, but it is unclear whether similar optimization can be achieved using scalp electroencephalography (EEG). Here, we investigated whether tDCS targeting a brain area identified by EEG can improve verbalization performance during a picture-naming task.

Alterations in Gut Microbiota Composition Are Associated with Changes in Emotional Distress in Children with Obstructive Sleep Apnea.

Emerging evidence underscores the pivotal role of the gut microbiota in regulating emotional and behavioral responses via the microbiota-gut-brain axis. This study explores associations between pediatric obstructive sleep apnea (OSA), emotional distress (ED), and gut microbiome alterations before and after OSA treatment. Sixty-six children diagnosed with OSA via polysomnography participated, undergoing adenotonsillectomy alongside routine educational sessions.

Altered Protein Kinase A-Dependent Phosphorylation of Cav1.2 in Left Ventricular Myocardium from Haploinsufficient Rat Hearts.

encodes the α1c subunit of the L-type Ca channel, Cav1.2. Ventricular myocytes from haploinsufficient () rats exhibited reduced expression of Cav1.

Changing the Paradigm for Tractography Segmentation in Neurosurgery: Validation of a Streamline-Based Approach.

In glioma surgery, maximizing the extent of resection while preserving cognitive functions requires an understanding of the unique architecture of the white matter (WM) pathways of the single patient and of their spatial relationship with the tumor. Tractography enables the reconstruction of WM pathways, and bundle segmentation allows the identification of critical connections for functional preservation. This study evaluates the effectiveness of a streamline-based approach for bundle segmentation on a clinical dataset as compared to the traditional ROI-based approach.

Determinants of Overall and Readmission-Free Survival in Patients with Metastatic Epidural Spinal Cord Compression.

Background: The aim of this study was to assess the surgical outcomes and survival of patients surgically treated for metastatic epidural spinal cord compression (MESCC), with a specific focus on identifying factors that influence overall survival and readmission-free survival.

Methods: All patients who underwent surgery for spine metastases at our department in the period 2018-2022 were included in the study.

Results: A total of 175 patients (n = 71 females, median age 67.

Quantitative comparison of a mobile, tablet-based eye-tracker and two stationary, video-based eye-trackers.

The analysis of eye movements is a noninvasive, reliable and fast method to detect and quantify brain (dys)function. Here, we investigated the performance of two novel eye-trackers-the Thomas Oculus Motus-research mobile (TOM-rm) and the TOM-research stationary (TOM-rs)-and compared them with the performance of a well-established video-based eye-tracker, i.e.

Impact of Small-Quantity Lipid-Based Nutrient Supplements on Pubertal Status of 9-13-Year Olds: A Follow-Up Study of the iLiNS-DYAD-Ghana Trial.

Background: Early and delayed puberty are both associated with adverse health and psychosocial outcomes.

Objectives: We assessed the impact of provision of small-quantity lipid-based nutrient supplement (SQ-LNS) to mothers during pregnancy and 6 mo postpartum and to their children aged 6-18 mo, on pubertal status.

Methods: This study was a follow-up to a partially double-blind randomized controlled trial.

Habituation of the biological response to repeated psychosocial stress: a systematic review and meta-analysis.

Recurrent psychosocial stress poses a significant health challenge, prompting research into mechanisms of successful adaptation. Physiological habituation, defined as decreased reactivity to repeated stressors, is pivotal in protecting the organism from allostatic load. Here, we systematically review and meta-analyze data from studies investigating the capacity of central stress systems to habituate when repeatedly exposed to a standardized psychosocial stressor, the Trier Social Stress Test (k = 47).

Temporal dynamics of affective scene processing in the healthy adult human brain.

Understanding how the brain distinguishes emotional from neutral scenes is crucial for advancing brain-computer interfaces, enabling real-time emotion detection for faster, more effective responses, and improving treatments for emotional disorders like depression and anxiety. However, inconsistent research findings have arisen from differences in study settings, such as variations in the time windows, brain regions, and emotion categories examined across studies. This review sought to compile the existing literature on the timing at which the adult brain differentiates basic affective from neutral scenes in less than one second, as previous studies have consistently shown that the brain can begin recognizing emotions within just a few milliseconds.

Stationarity assessment of resting state condition via permutation entropy on EEG recordings.

The analysis of electrophysiological recordings of the human brain in resting state is a key experimental technique in neuroscience. Resting state is the default condition to characterize brain dynamics. Its successful implementation relies both on the capacity of subjects to comply with the requirement of staying awake while not performing any cognitive task, and on the capacity of the experimenter to validate that compliance.