Browse Articles

Nitrogen Doping at the Periphery of a Quadruply-Fused Porphyrin and Its Multi-Step Proton-Coupled Electron Transfer to Form a 34π Aromatic Molecule

Au ^δ+ –Au Relay-Promoted Synergy of Light Irradiation and Heating for Highly Selective Activation of C–H Bonds

Spatial Relations between Coccoliths and Their Confining Membrane During Crystal Morphogenesis

One-Step-Three-Ring Propellanation Reaction of Yne-Vinylcyclobutanones Catalyzed by Nickel: Reaction Development, Mechanism, and Formal Synthesis of Modhephene

Liver-Detargeted Aromatic Bioreducible mRNA Lipid Nanoparticles Confer Lymph Node Tropism and Robust Antigen-Specific Immunity

Spin State in Au Porphyrins Modulated by Charge Transfer on Au(111)

Triggering the Selective Reading of Sequence-Defined Oligourethanes: An Example Using Computer Scripts, Representing the Next Step in Chemical Logic Gates

Cryo-Structural Insights into Enzymatic Peptide Self-Assembly Driving Extrinsic Lytic Cell Death

Synthetic Mimics for Nitrogen-Based Polycyclic Aromatic Hydrocarbon Cosmic Dust: Preparation and Preliminary Impact Ionization Mass Spectrometry Studies

High-Affinity Six-Letter DNA XenoAptamer Generation by Genetic Alphabet Expansion

Orientation-Controlled MOF Membranes Enabling Switchable H ₂ /CO ₂ Separation

Suppressing Cascade Degradation of Lithium-Rich Manganese-Based Cathodes via Singlet Oxygen/Free Radical-Intercepting Binder

In Vivo Spatiotemporal Protection and Recognition of Circulating Tumor DNA for Early Cancer Diagnosis and Monitoring

Coupled Hydrogen-Bond–Electrostatic Recognition of Phosphatidylglycerol Drives the Design of Resistance-Suppressing Miniature Peptidomimetics

Electrochemical Loading of Palladium with Hydrogen Is Governed by Ambient Gas Species

Constructing Self-Adaptive Pores in a Metal–Organic Framework for Capturing CO ₂ from Wet Flue Gas

Bioinspired Diffusion-Limited Silicification in Coacervate Assemblies Enables Smart Nanotoroids for Deep and Sensitive Tumor Penetration

Charge Separation and/or Hot Spots: Clarification of Efficient CO ₂ Reduction over Ru–Ni Nanoparticles Compared to Photocatalysis on Ru–Ni–ZrO ₂ Composites

Atypical Development of Functional Brain Networks in Neonates with Congenital Heart Disease

Congenital heart disease (CHD) affects ∼1% of live births in the United States and is the most prevalent congenital disorder. Despite advances in neonatal cardiovascular surgery improving survival, neurodevelopmental impairments remain prevalent, impacting motor skills, social behavior, and executive function. Motor deficits and long-term challenges in emotional regulation and memory are particularly common. Recent research using resting-state functional MRI (rs-fMRI) has revealed disorganized brain networks in newborns with CHD. However, those few prior rs-fMRI studies examining the impact of CHD have relied on predefined brain parcellations to compare group-level connectivity, limiting the ability to capture spatial alterations in neonatal brain networks in CHD. Understanding these network-level changes is critical for elucidating mechanisms of neurodevelopmental impairment and identifying early biomarkers of risk. To address these gaps, our study introduces two conceptual advances: (1) a data-driven approach to investigate atypical brain network development in high-risk CHD and (2) the use of a population-sized, independent dataset of healthy newborns to derive a normative set of neonatal brain networks. By analyzing a large rs-fMRI of human newborns ( N  = 448; 219 females and 229 males), we identify atypical brain activity in the sensorimotor and limbic networks of newborns with complex CHD. Notably, before cardiovascular surgery, these networks are split into left and right hemispheric subnetworks. Postoperatively, these components coalesce into a singular, symmetric pattern resembling networks observed in healthy neonates. Our study highlights the potential of rs-fMRI to detect subtle, early functional disruptions in CHD and may inform future biomarkers of neurodevelopmental risk.

Increased and Coupled ERP and fMRI Responses toward Positive Social Evaluative Feedback: An EEG–fMRI Study

Social-evaluative feedback is a key component of human social interaction, influencing self-view, behavior, and psychological well-being. This study investigates the neural mechanisms underlying social feedback processing in relation to self-view congruence. Participants ( N  = 54: 38 females, 15 males, 1 nonbinary) received putative evaluative feedback that was better, congruent, or worse than their self-view rating, previously presented. Brain responses were investigated using combined measurement of event-related potentials (ERPs) and functional magnetic resonance imaging (fMRI). Both types of incongruence, better and worse, compared with congruent evaluative feedback, elicited increased activations in bilateral superior frontal regions. Comparing incongruent better to worse feedback revealed increased hemodynamic responses in the medial prefrontal cortex, the ventral striatum, and the precuneus (Pc). The late positive potential (LPP) component of the EEG showed larger amplitudes to incongruent than to congruent feedback and, similarly to the fMRI effect, larger amplitudes for better than worse feedback. Correlation of ERP and fMRI findings revealed significant relationships between the LPP and the striatum, as well as between the LPP and Pc, for better–worse differences. Thus, our findings suggest specific frontal activations associated with the evaluation of feedback incongruence, as well as additional frontal, posterior, and striatal valence-dependent activations representing reward-related processing and positively biased feedback integration. We propose that, after a first sweep of self-incongruence detection, selective neural responses to better feedback are driven by an evaluation of the subjective positivity of the feedback, opening the possibility of further elaboration on process feedback information integrated into the self.