The article describes how lab-grown brain organoids derived from patient samples show distinct electrical activity patterns that differentiate between neurotypical individuals and various autism subtypes, using multi-electrode recordings and analyses to map these differences.

This work highlights how personalized brain models can illuminate the biological diversity within autism and potentially guide tailored approaches to testing treatments, reflecting a neuroscience focus on human-derived systems.

Article Title: Lab-grown brain models reveal unique electrical patterns in different types of autism

Link to PsyPost Article: https://www.psypost dot org/lab-grown-brain-models-reveal-unique-electrical-patterns-in-different-types-of-autism/

Copy and paste broken link above into your browser and replace "dot" with "." for link to work. We have to do it this way to avoid displaying copyrighted images.

#Autism #BrainOrganoids #Neuroscience #Electrophysiology #PersonalizedMedicine

Researchers identified a specific, cross-species biomarker in low-frequency #brain waves shared between humans with fragile X syndrome and mice modeling the disorder.
#Neuroscience #Electrophysiology #Neurobiology #sflorg
https://www.sflorg.com/2026/02/ns02212601.html
Fragile X study uncovers brain wave biomarker bridging humans and mice

Researchers find mice modeling the autism spectrum disorder fragile X syndrome exhibit the same pattern of differences in low-frequency waves as human

Are you interested in the spiking activity of your neuronal cultures, #brain slices, #organoids, etc.?

Check out our latest publication in STAR Protocols:
“Protocol for the enhanced analysis of electrophysiological data from high-density multi-electrode arrays with nicespike and spikeNburst”
https://doi.org/10.1016/j.xpro.2025.104195

It provides user-friendly graphical and #Python programming interfaces to spike sorting via template matching thanks to #Kilosort and #spikeinterface (@spikeinterface), and subsequent analysis of #spiking and #bursting activity, networks, and synchrony.

#neuroscience #brainscience #electrophysiology #brainOrganoids

Postdoctoral Research Fellow

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--Postdoctoral Fellowship in Structural Neurophysiology at CSHL—
Cold Spring Harbor Laboratory @Lab_FURUKAWA

Join the HF_lab at CSHL to conduct cutting-edge science and advance your career. #cryo-EM #electrophysiology #cancer-neuroimmunology #neuropharmacol

See the full job description on jobRxiv: https://jobrxiv.org/job/cold-spring-harbor-laboratory-2777...
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--Postdoctoral Fellowship in Structural Neurophysiology at CSHL—
Cold Spring Harbor Laboratory @Lab_FURUKAWA

Join the HF_lab at CSHL to conduct cutting-edge science and advance your career. #cryo-EM #electrophysiology #cancer-neuroimmunology #neuropharmacol

See the full job description on jobRxiv: https://jobrxiv.org/job/cold-spring-harbor-laboratory-2777...
https://jobrxiv.org/job/cold-spring-harbor-laboratory-27778-postdoctoral-fellowship-in-structural-neurophysiology-at-cshl-2/?fsp_sid=3567

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🫀📄 #WorldHeartDay: 'Adjunctive Left Atrial Posterior Wall Isolation in Treating Non-Paroxysmal Atrial Fibrillation: An Updated Meta-Analysis of Randomized Clinical Trials' - a systematic review in the Karger: Cardiovascular System Collection on #ScienceOpen 🔗 https://www.scienceopen.com/document?vid=77109481-17c1-4252-abd3-39d848c039ae

#AtrialFibrillation #CatheterAblation #Electrophysiology #ScienceMastodon

Adjunctive Left Atrial Posterior Wall Isolation in Treating Non-Paroxysmal Atrial Fibrillation: An Updated Meta-Analysis of Randomized Clinical Trials

<p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dir="auto" id="d7340757e137"> <b> <i>Background:</i> </b> The clinical outcomes of adjunctive posterior wall isolation (PWI) beyond pulmonary vein isolation (PVI) for non-paroxysmal atrial fibrillation (AF) remain unclear. This meta-analysis was conducted to evaluate the role of PWI in non-paroxysmal AF by pooled analysis of most updated randomized controlled trials (RCTs). <b> <i>Methods:</i> </b> A literature search in PubMed, Embase, and the Cochrane Library was performed to identify RCTs comparing the outcomes of PVI with and without PWI in non-paroxysmal AF patients. The primary outcomes were recurrence rates of all atrial arrhythmias, AF, and atrial tachycardia/flutter (AT/AFL). The secondary outcomes included total procedure time, ablation time, fluoroscopy time and procedure-related complications. Estimated risk ratios (RRs) and 95% confidence intervals (CIs) were evaluated. <b> <i>Results:</i> </b> Nine RCTs with a total of 1,243 non-paroxysmal AF patients were included in our analysis. There were no significant differences in all atrial arrhythmias recurrence (RR: 0.86, 95% CI: 0.66–1.11, <i>p</i> = 0.24, <i>I</i> <sup>2</sup> = 49%) and AF recurrence (RR: 0.74, 95% CI: 0.51–1.08, <i>p</i> = 0.12, <i>I</i> <sup>2</sup> = 62%) between stand-alone PVI group and PVI plus PWI group. Adjunctive PWI increased the AT/AFL recurrence rate (RR: 1.62 95% CI: 1.08–2.42, <i>p</i> = 0.02, <i>I</i> <sup>2</sup> = 0%). In the subgroup analysis, PWI using cryoballoon ablation was associated with a significantly lower recurrence rate of all atrial arrhythmias ( <i>p</i> = 0.01) and AF ( <i>p</i> = 0.02) recurrence and similar recurrence rate of AT/AFL ( <i>p</i> = 0.15). Additional PWI was associated with an increased AT/AFL recurrence ( <i>p</i> = 0.03) in patients with left atrial diameter (LAD) <44 mm. Adjunctive PWI needed longer ablation time, fluoroscopy time, and total procedure time. The incidence of procedural adverse events was low and similar between both groups. <b> <i>Conclusion:</i> </b> Adjunctive PWI beyond PVI did not improve the freedom from all atrial arrhythmias and AF with an increased recurrence rate of AT/AFL in non-paroxysmal AF patients. The ablation energy and LAD might affect the clinical outcome of PWI. However, larger more RCTs were needed to verify our findings. </p>

ScienceOpen

Hello good people of mastodon. I've been studying human brain development since starting my postdoc and have some results to share about how alpha rhythms and intrinsic neural timescales develop. (https://doi.org/10.1101/2025.08.21.671637)

Why alpha? Well, there was already plenty of evidence that alpha rhythms speed up with age, making it one of the better studied physiological markers of neurodevelopment.

Why intrinsic neural timescales? There have been hints that intrinsic neural timescales decrease with age, and they are also a functional measure of neural processing hierarchy - sensorimotor regions (at the base of the hierarchy) tend to have shorter intrinsic timescales than association regions (in developed brains, anyway).

The hierarchy bit caught my attention because emerging evidence suggests sensorimotor regions develop before association regions.

So, we asked whether developmental changes to these measures were related, and also tested whether their relationships depended on which pole of the neural hierarchy we sampled from, using intracranial electrocorticography from kids, teens, and adults.

We found that age-dependent alpha frequency increases were indeed related to timescale decreases, but the relationship was really only evident in association regions. I thought this was very cool!

What I like about this study is that ECoG gives us really precise anatomical localization of our signals AND high temporal resolution, which allowed us to bring together findings from fMRI (slow) and scalp-EEG (difficult to localize), and fill in a couple gaps.

I'm hoping the paper does a good job of contextualizing our results within those literatures, but it's my first go in this field so feedback is welcome!

Also, message me if you'd like to see these results in poster form and I'll send you a PDF ✨

#neuroscience #neurodevelopment #electrophysiology

Developmental relationships between the human alpha rhythm and intrinsic neural timescales are dependent on neural hierarchy

Maturation of human brain structure has been well-studied, but developmental changes to brain physiology are not as well understood. One consistent finding is that the peak alpha rhythm frequency (PAF) increases throughout childhood. Another is that resting-state functional connectivity shifts from sensorimotor regions in children to association regions in adolescents, a reorganization along a hierarchy called the sensorimotor-to-association (S-A) axis. In mature brains, the S-A axis has been parcellated physiologically using the duration of persistent neural activity, known as the intrinsic neural timescale (INT), which increases along the hierarchy. Here we studied the development of PAF and INT in a cohort of epilepsy patients 3 – 33 years of age undergoing intracranial electrocorticographic (ECoG) monitoring. Given the well-known developmental trajectory of PAF, and the ability to delineate hierarchy using INT, we hypothesized that changes to PAF and INT would correlate across development, but that their relationship may be influenced by hierarchy. Consequently, we predicted that age-dependent PAF increases would accompany INT decreases, and we tested whether their relationship varied between sensorimotor and association regions. We found that PAF increased significantly with age in both sensorimotor and association regions, while age-dependent INT decreases were only significant in association regions. Supporting this finding, we found a strong negative relationship between PAF and INT that was specific to association regions. Together, our results suggest that developmental divisions across the S-A axis manifest in the relationships between neurophysiological measures, providing further evidence that asynchronous development along the S-A axis depends on maturation of brain function. New & Noteworthy We report a novel developmental relationship between the human resting-state alpha rhythm frequency and the duration of intrinsic neural timescales. Using resting-state electrocorticography, we found that alpha frequency increased with age at either end of the sensorimotor-to-association cortical hierarchy, while intrinsic neural timescales only decreased with age in association regions. This negative correlation between alpha frequency and intrinsic timescale was only evident in association regions, further linking functional maturation and cortical hierarchy. ![Figure][1]</img> ### Competing Interest Statement The authors have declared no competing interest. [1]: pending:yes

bioRxiv

--Postdoctoral Fellowship in Structural Neurophysiology at CSHL—
Cold Spring Harbor Laboratory @Lab_FURUKAWA

Join us to conduct cutting-edge science and advance your career. #cryo-EM #electrophysiology #neuroscience #neuroimmunology

See the full job description on jobRxiv: https://jobrxiv.org/job/cold-spring-harbor-laboratory-27778-postdoctoral-fellowship-i...
https://jobrxiv.org/job/cold-spring-harbor-laboratory-27778-postdoctoral-fellowship-in-structural-neurophysiology-at-cshl/?fsp_sid=1530

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--Postdoctoral Fellowship in Structural Neurophysiology at CSHL—
Cold Spring Harbor Laboratory @Lab_FURUKAWA

Join us to conduct cutting-edge science and advance your career. #cryo-EM #electrophysiology #neuroscience #neuroimmunology

See the full job description on jobRxiv: https://jobrxiv.org/job/cold-spring-harbor-laboratory-27778-postdoctoral-fellowship-in...
https://jobrxiv.org/job/cold-spring-harbor-laboratory-27778-postdoctoral-fellowship-in-structural-neurophysiology-at-cshl/?fsp_sid=802

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