🩺🧠 ✨ Excited about our latest work published in @eBioMedicine! In the BioFIND dataset, we found that brain activity provided unique information about progression to Alzheimer’s Disease (AD). Paper: thelancet.com/journals/ebiom…; Thread 🧶 ⤵️

📣We are excited to share our latest preprint led by Sinead Gaubert exploring neuromagnetic signatures 🧠🧲 of cognitive decline across the spectrum from mild cognitive impairment to Alzheimer's disease dementia on the BioFIND dataset: doi.org/10.1101/2024.07.06.2… Our study highlights the potential of #MEG beta power as a robust, non-invasive electrophysiological biomarker to predict Alzheimer’s disease progression, complementing other diagnostic measures, including cognitive scores, MRI, and biological biomarkers. On the other hand, neural interaction measures (wPLI, power envelopes) did not show sufficiently strong and robust sensor space signals, although showing some systematic frequency-dependent alterations. By carefully applying advanced signal processing techniques – based on complex Morlet wavelets and Riemannian geometry – we've conducted fine-grained comparisons uncovering subtle alterations in low-frequency brain activity that were not detected by the other sensor-space measures. Our results underscore the potential of MEG, combined with sophisticated signal analysis, for discovery and translation of brain-activity biomarkers from research-grade MEG to clinical EEG. A truly collaborative effort with our interdisciplinary team 🤝 Sinead Gaubert, Pilar Garces, Jörg Hipp, Ricardo Bruña, Maria Eugenia Lopéz, Fernando Maestu, Delshad Vaghari, Richard Henson & Claire Paquet

New preprint! We used cortical complexity to classify AD/MCI patients against healthy controls in two large scale dementia datasets: #ADNI and #BioFIND. With @C_ReyesAldasoro @cMadan @delshadveghari: medrxiv.org/content/10.1101/…

The BioFIND study, available on the DPUK Data Portal, contains MEG & MRI data from more than 320 volunteers. It aims to find new imaging biomarkers of neurodegeneration to help with diagnosis & treatment tracking. Read our Q&A with cohort PI @rikhens ➡️ dementiasplatform.uk/researc…

“BioFIND” MEG dataset for dementia research available on DPUK @DementiasUK: full description now published in Neuroimage: ow.ly/VaQC50JBB5a

Flow updates and video tutorial to come! 🫡 Stick around #BioFind out 🧬🤝🐸 $BioFi

Fuck around & BioFind out 🧬🧬🧬 $biofi $dag $ltx

🧠 Delighted to be able to host information from the BioFIND brain imaging study on our Data Portal, where it can be accessed and analysed freely by researchers anywhere! BioFIND aims to reveal early changes in the brain associated with dementia. portal.dementiasplatform.uk/

So excited that our #BioFIND data paper led by @rikhens is now published in @NeuroImage_EiC! The world’s largest MEG-dementia database across two labs (Cambridge & Madrid) doi.org/10.1016/j.neuroimage… . Data is in BIDS and can be analysed freely on DPUK @DementiasUK!

BioFIND - Largest freely-available resting-state MEG data to study dementia You can now see its key reference paper @mrccbu @rikhens @MaestuFernando just published ... sciencedirect.com/science/ar…

With more @DementiasUK supported MEG based experimental medicine from BioFIND and NTAD studies coming soon to #AAIC and biomag2020.org @mrccbu @OHBA_Oxford @CUBRICcardiff BioFIND: n~160 MCI n~160HC, MEG T1 Explore and analyse FREE via @DementiasUK Data Portal

Am especially delighted that BIOFIND's MEG data made the milestone BIOFIND - initiated by @JPNDeurope EU funding for MEG biomarkers for dementia @rikhens @mrccbu @MaestuFernando @markwoolrich #LauraHughes @KiaNobre and alz-journals.onlinelibrary.w…

🎉 Researchers around the world have now made more than 1,000 applications to access cohorts within the DPUK Data Portal! The milestone study is using MEG data from the BioFIND imaging cohort to identify pre-dementia changes in the brain. Read more: dementiasplatform.uk/news-an…

The @MichaelJFoxOrg foundation is absolutely amazing. If you or your loved one has #ParkinsonsDisease I recommend checking out their website and research and the BIOFIND and PPMI information available on the website the webinars!! #ParkinsonsAwarenessMonth

So excited to share our new paper (@rikhens @kabir_ehsn) which is now available online on @neuroimage: In this paper, we showed that MEG adds to MRI in classifying MCI vs CNT. We used the largest available MEG dataset to study dementia #BioFIND doi.org/10.1016/j.neuroimage…

Mani k dobre khoondm "biofind"

خانومم زیبارویان بیوفایند رو خوند زیبارویان biofind

Subtyping of #Parkinsons patients with similarity fusion (using BioFIND data) finds 3 subtypes: # I (~58.3%)= mild symptoms (motor & non-motor) # 2 (~19.4%)= intermediate severity high tremor & mild non-motor # 3 (~22.3%) = more severe motor & non-motor nature.com/articles/s41531-0…

Excited to lead the BioFIND Biomass Feedstock Innovation Demonstration Platform @UK_CEH @plant_soil with @ibers_aber @Rothamsted @AFBI_NI @SRUC @Terravesta @KevinLindegaard and Willow Energy. Going to be a busy 6 months!

Thrilled to share our new preprint with @rikhens @kabir_ehsn : Late Combination shows that MEG adds to MRI in classifying MCI versus Controls medrxiv.org/content/10.1101/… using the largest sample of MCI with MEG data #BioFIND 👇