To further my quest to convince everyone (well, at least psychologists and neuroscientists) that "just enough" #BIDS (@bidsstandard) can be very good for dataset management, I wrote a pair of blog posts; the first is https://mvpa.blogspot.com/2026/05/just-enough-bids-1-introduction-and-six.html; a combined pdf version is at https://osf.io/w7zkc/files/aqsg3

If you prefer to listen to me talk about BIDS, there's a recording at https://osf.io/w7zkc/files/ycgd3

BIDS stands for Brain Imaging Data Structure, and is probably still most widely used for human #fMRI data. But it's also great for organizing behavioral, #EEG, and other datasets, too. Data sharing, quality control, analysis, etc. is so much more straightforward when you know where to look for the data (and what format to expect).

Today at booth #39-40, Artinis & @NIRx Medical Technologies are showing you live how #fNIRS and #fMRI complement each other in multimodal brain research, combining the precision of fMRI with the flexibility of fNIRS for a fuller picture of brain activity.

Visit booth #44 for:
🔹 APEX EEG + Brite fNIRS
🔹 SAGA EEG + NIRSport2 demos!

Come say hi in Bordeaux! #🧠 #OHBM2026 #Neuroimaging #BrainResearch

The article reports that adults with stronger math abilities tend to rely less on the brain's sensorimotor regions when processing numbers, indicating a shift toward more automatic and abstract numerical processing with higher proficiency.

This topic is of interest to psychology because it highlights how cognitive processing strategies can become more efficient with experience, illustrating neural plasticity and the transition from embodied to abstract representations in skills development.

Article Title: Adults with better math skills rely less on the brain’s physical movement areas

Link to PsyPost Article: https://nolinkpreview.com/www.psypost.org/adults-with-better-math-skills-rely-less-on-the-brains-physical-movement-areas/

#math #cognition #neuroscience #embodiedcognition #neuralefficiency #sensorimotor #automaticity #numericalprocessing #fMRI #brainresearch

#NeuralSet turns raw #NeuralRecordings and stimuli into #PyTorch-ready datasets. Supports
🧠 #fMRI, #EEG, #MEG, #iEEG, #spikes… and preprocesses 💬 text 🔊 audio ▶️ video 🏞️ image… #embeddings:

📚 https://facebookresearch.github.io/neuroai/neuralset/index.html
📝 https://kingjr.github.io/files/neuralset.pdf

#NeuroAI #CompNeuro #Neuroscience #electrophysiology

Sleep cleans the brain. Now, researchers have developed a fast, non-invasive way to measure the process

Researchers developed a method that allows the increased movement of brain fluids during sleep to be tracked quickly and safely. They found that 3 kinds of pulsations work together to remove unwanted materials from the brain during sleep.

Sleep cleans the brain. Now, researchers have developed a fast, non-invasive way to measure the process

Researchers developed a method that allows the increased movement of brain fluids during sleep to be tracked quickly and safely. They found that 3 kinds of pulsations work together to remove unwanted materials from the brain during sleep.

The article reports that brain imaging combined with artificial intelligence can distinguish young adults experiencing suicidal thoughts from healthy peers by examining how death-related concepts are represented in self-related brain regions. The approach uses fMRI patterns and machine learning to identify a neural signature linked to self-reference when processing death-related words. The findings suggest a measurable neurobiological basis for suicidal ideation, though current accuracy is not sufficient for clinical use.

This topic is of interest to psychology because it links cognitive processing of self and death to observable brain patterns, illustrating how mental states may manifest in neural representations and how advanced analytics can uncover these patterns.

Article Title: How “mindreading” AI detects hidden suicidal thoughts in the brains of young adults

Link to PsyPost Article: https://www.psypost dot org/how-mindreading-ai-detects-hidden-suicidal-thoughts-in-the-brains-of-young-adults/

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#neuroscience #suicideprevention #fMRI #machinelearning #selfreferentialprocessing

In this interview, Claudia Gonzalez, Assistant Professor of Psychology at Thompson Rivers University, shares how her research uses neuroimaging to study neurocognitive aging. #fNIRS plays a central role in this work. Using the Brite, her lab investigates brain–behavior relationships across diverse populations, while also integrating other techniques such as eye tracking, #fMRI, and neurostimulation.

🔗 Read the full interview here https://zurl.co/Xtmon