Biology subjects

Haber, I.

Publications and source records attributed to Haber, I..

3 recordsLinked to original sources

bioRxiv2026

Sleep-Related Respiratory Disruption is Associated with Altered Spindle Morphology and Poorer Attention in Children

Study ObjectivesTo determine whether sleep-related respiratory disruption is associated with regionally specific alterations in sleep spindle topography and whether hypopnea-sensitive spindle features are associated with attentional performance in children. MethodsWe recorded overnight high-density EEG in children across a wide range of respiratory disruption severity. Slow and fast spindle metrics were extracted per channel, and channel-wise regression models characterized topographic associations with hypopnea index (HI). Cluster-based permutation testing controlled for multiple comparisons. Hierarchically defined regions of interest were tested as predictors of attentional performance on the Test of Variables of Attention (TOVA). ResultsCanonical slow-anterior and fast-posterior spindle organization was detectable across the cohort. Two HI-related topographic effects survived cluster-based permutation correction: higher HI was associated with shortened anterior fast spindle duration and with slower anterior slow spindle peak frequency. In cognitive models, anterior fast spindle duration was the strongest and most consistent predictor of attentional performance, associated with higher signal detection sensitivity, fewer omission errors, and fewer commission errors. By contrast, slow spindle peak frequency showed no attentional associations. ConclusionsPediatric respiratory disruption is associated with regionally specific alterations in spindle morphology rather than global spindle reduction. Shortened anterior fast spindle duration showed convergent respiratory and attentional associations, suggesting that localized spindle integrity may provide a neurophysiological marker of cognitive vulnerability in pediatric sleep-disordered breathing beyond conventional clinical respiratory metrics. HighlightsO_LIHigher hypopnea index was associated with shortened anterior fast spindle duration and slower anterior slow spindle peak frequency C_LIO_LIAnterior fast spindle duration predicted attentional performance in children C_LIO_LIRespiratory disruption may impair attention by disrupting thalamocortical spindle activity C_LI Statement of SignificanceChildren with sleep-disordered breathing can show neurocognitive difficulties that are not well explained by standard respiratory indices alone. This study uses high-density EEG to show that hypopnea burden is associated with regionally specific alterations in sleep spindle morphology, particularly shortened anterior fast spindle duration, rather than a global reduction in spindle occurrence. Anterior fast spindle duration was also the spindle feature most consistently associated with attentional performance. These findings suggest that localized spindle morphology may provide a sleep-neurophysiological readout of cognitive vulnerability in pediatric sleep-disordered breathing. Longitudinal and treatment studies are needed to determine whether spindle duration changes with respiratory improvement and whether such changes track cognitive recovery.

neuroscience↗

bioRxiv2026

Acute DOI exposure drives cortical hyperexcitability and functional network remodeling

Serotonergic psychoplastogens can produce durable cortical remodeling, but how a brief exposure to the 5-HT2A agonist 2,5-dimethoxy-4-iodoamphetamine (DOI) reshapes population activity and functional connectivity remains unclear. We recorded primary rat cortical cultures on spatially defined microelectrode arrays before and after acute DOI exposure using a within-culture repeated-measures design, with a separate ketanserin + DOI arm to probe 5-HT2A receptor involvement. Network activity was summarized from spikes, bursts, and functional connectivity estimated with Pearson cross-correlation and the rate-corrected spike-time tiling coefficient. Following DOI exposure, mean firing rate increased across all six wells, burst timing accelerated, and functional-network metrics showed a convergent but sensitivity-limited shift toward shorter characteristic path length. Ketanserin + DOI exposure reduced population bursting and prolonged inter-burst intervals, while descriptive path-length shortening persisted. Path-length shortening persisted under the rate-corrected STTC estimator, suggesting that the connectivity shift was not simply a firing-rate artifact. These findings show that acute DOI exposure can move dissociated cortical cultures into a hyperexcitable population state with altered functional-network dynamics. Multiplexed cortical network recordings therefore provide a tractable bridge between molecular psychoplastogen biology and systems-level circuit outcomes relevant to durable therapeutic plasticity. HighlightsO_LIMEA recordings reveal post-acute DOI responses in cortical cultures C_LIO_LIDOI increases spontaneous firing and accelerates burst timing C_LIO_LIDOI shifts functional network structure toward integration C_LIO_LIKetanserin + DOI suppresses population bursting while preserving path-length shortening C_LI

neuroscience↗

bioRxiv2025

TI-Toolbox: An Open-Source Software for Temporal Interference Stimulation Research

BackgroundTemporal interference stimulation is a novel non-invasive brain stimulation approach that promises selective targeting of deep brain structures while minimizing off-target cortical stimulation. Despite a growing interest in temporal interference applications, there is a need for integrated computational tools that seamlessly connect neuroimaging data preprocessing through montage optimization, field simulation, and analysis within a unified framework designed for translational and clinical research. MethodsWe developed TI-Toolbox, an open-source software platform that integrates established neuroimaging tools (dcm2niix, SimNIBS, FreeSurfer) with specialized algorithms for temporal interference research. The platform provides end-to-end workflows encompassing structural MRI preprocessing, volume conduction modeling, montage optimization, electric field simulation, and region-of-interest analysis. Both graphical user interface and command-line interface implementations ensure accessibility across user expertise levels. The platform employs containerized deployment via Docker to ensure reproducibility and cross-platform compatibility. ResultsTI-Toolbox successfully automates the complete temporal interference research pipeline, from DICOM conversion through final field analysis. The platform demonstrates robust performance across operating systems and provides standardized workflows that enhance reproducibility. Furthermore, our case studies support the validity of our HD-EEG mapping approach for montage standardization and the need for individualized modeling for exposure assessment. ConclusionsTI-Toolbox addresses critical infrastructure gaps in temporal interference research by providing researchers with a unified, validated platform that reduces technical barriers and accelerates translational research in non-invasive deep brain stimulation. HighlightsO_LIOpen-source platform unifying TI stimulation workflow end-to-end C_LIO_LIDocker deployment ensures reproducibility across operating systems C_LIO_LIHD-EEG electrode mapping preserves field characteristics C_LIO_LIStandardized model is sufficient for montage optimization C_LIO_LIAnatomical differences explain >40% of inter-individual variability C_LI

neuroscience↗