@garilerma
Account based inSpain
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Neuroscientist @ https://nitter.cf/t.co/reqhGa44eN
Basque Country
Joined November 2008
- Tweets98
- Following430
- Followers155
- Likes186
Garikoitz Lerma-Usabiaga retweeted
Our new paper 'Presaccadic attention depends on eye movement direction and is related to V1 cortical magnification' is now available in Journal of Neuroscience, from @NinaHanning, myself, and @carrasco_lab jneurosci.org/content/early/…
Garikoitz Lerma-Usabiaga retweeted
After seven (7!) years of work with >20 researchers at 10 different institutions, we are super excited to release NextBrain, a next-gen probabilistic atlas of the human brain with 333 regions:
github-pages.ucl.ac.uk/NextB…
Preprint, data, code, videos, and much more in this 🧵(1/5)
Garikoitz Lerma-Usabiaga retweeted
Excited to share our new work spearheaded by @insekim with @eline_kupers & @garilerma in which we developed a new empirical & computational framework for estimating spatiotemporal receptive fields in units of milliseconds and degrees with fMRI
jneurosci.org/content/44/2/e…
Garikoitz Lerma-Usabiaga retweeted
Hi MR gurus.
We want high-res fMRI at approx 1 mm isotropic at 3T, with TR < 2 sec. No need whole-brain coverage. Which sequence would you recommend: 2D-SMS-EPI or 3D-EPI? I've seen abstracts and papers at 7T, but not at 3T @layerfMRI @Kamil_Toronto @HighOnField @garilerma
Garikoitz Lerma-Usabiaga retweeted
(2/2)
Papers:
sciencedirect.com/science/ar…
arxiv.org/abs/2305.03413
Funded by @AlzResearchUK
led by @HTregidgo
Work with @CmicUcl @drcionucl @bcbl_ @MIT_CSAIL including @BocchettaM @jonrohrer @LeemputKoen @nastasiayendiki @CaballeroGaudes and many others
Garikoitz Lerma-Usabiaga retweeted
Population receptive field models have been successful in predicting fMRI responses in either spatial or temporal domains, but now there is also a spatiotemporal pRF model! Excited to share @insekim latest work, together with @garilerma and @kalatwt!
Characterizing spatiotemporal population receptive fields in human visual cortex with fMRI biorxiv.org/cgi/content/shor… #biorxiv_neursci
Garikoitz Lerma-Usabiaga retweeted
Excited to share our new preprint led by @insekim with @eline_kupers @garilerma; this is a major breakthrough using fMRI to estimate spatiotemporal receptive fields in visual degrees and milliseconds.
Characterizing spatiotemporal population receptive fields in human visual cortex with fMRI biorxiv.org/cgi/content/shor… #biorxiv_neursci
Garikoitz Lerma-Usabiaga retweeted
✨ El investigador predoctoral de #BCBL @LiuMengXing ha defendido hoy su tesis doctoral “Conexiones talamocorticales humanas y su implicación en los sistemas del lenguaje” en @psikoehu.
Los investigadores Kepa Paz-Alonso y @garilerma han supervisado su trabajo.
Zorionak! 🙌
Garikoitz Lerma-Usabiaga retweeted
Our colleagues Mengxing Liu, Garikoitz Lerma-Usabiaga and Pedro Paz-Alonso have published their study “Reproducible protocol to obtain and measure first-order relay human thalamic white-matter tracts” in the specialized journal NeuroImage. Do not miss it:
sciencedirect.com/science/ar…
Garikoitz Lerma-Usabiaga retweeted
💥⚠️ En #BCBL disponemos de 9 plazas vacantes dentro del «Programa #Investigo» impulsado por @lanbideejgv en el marco del plan @P_Recuperacion financiado por @EU_Commission.
🔬 Asistentes de investigación
🔎 Analistas de datos
💻 Programadores/as
🧠 Neuropsicólogos/as
+info ⬇️
Garikoitz Lerma-Usabiaga retweeted
💥⚠️ #BCBL-n 9 lanpostu berri eskaintzen ditugu Lanbide-ren «#Investigo Programa»-ren deialdipean, @EU_Commission-ek finantzatutako @P_Recuperacion esparruan.
🔬 Ikerketa-laguntzaileak
🔎 Datu analistak
💻 Programatzaileak
🧠 Neuropsikologoak
Info+ ⬇️
Garikoitz Lerma-Usabiaga retweeted
Check out the press release of our >$100M consortium grant from the BRAIN Initiative:
alleninstitute.org/what-we-d…
It's not too late to apply for a postdoc with @BruceFischl an me at @FreeSurferMRI @MGHMartinos @harvardmed to work on this exciting project! scholar.harvard.edu/iglesias…
Garikoitz Lerma-Usabiaga retweeted
I'm pleased to share our work newly on NeuroImage, co-authored with Dr. @garilerma , Dr. Francisco Clasca and Dr. Kepa Paz-Alonso!
We propose a ready-to-use
Reproducible protocol to obtain and measure first-order relay human th... sciencedirect.com/science/ar…
🧵 (1/6)
Garikoitz Lerma-Usabiaga retweeted
Have you ever wondered if the choice of the fMRI retinotopy stimulus has an impact on your pRF mapping results?
The answer is yes, it has a huge impact! Find out more in our paper: doi.org/10.1016/j.neuroimage…
Garikoitz Lerma-Usabiaga retweeted
Thank you for this highlight! For those who missed the weekend Tweeting, 😉 this study discovered robust striatum gradients using quantitative MRI. A similar gradient is then used for Parkinson's disease based on clinical data.
“Mapping microstructural gradients of the human striatum in normal aging and Parkinson’s disease” by Elior Drori et al. Science Advances
science.org/doi/10.1126/scia…
Garikoitz Lerma-Usabiaga retweeted
For 5 years @dora_hermes led us in an interesting analysis; she used fast acquisitions to measure spatially resolved cardiac-related responses across the cranium. The signals are strong and interpretable. These responses, often treated as noise, may become a useful signal.
Here is our new preprint about how cardiac pulsations affect fMRI signals. Measuring brain beats: cardiac-aligned fast fMRI signals: biorxiv.org/content/10.1101/… together with @BrianWandell, Hua Wu and @kerr_ab
Garikoitz Lerma-Usabiaga retweeted
#PhD positions 🚨
Our functional neuroimaging lab in Vienna, Austria is looking to fill two fully funded PhD positions with the topics retinotopic mapping and Transcranial Magnetic Stimulation (TMS).
Find details on our website:
fMRI.at/PhD
Garikoitz Lerma-Usabiaga retweeted
Ever wonder if the white matter connections of high-level visual areas are linked to cytoarchitecture, category-selectivity, or both? Excited to share the first project of my PhD, with @mareikegrotheer, @dfinz, @vsnatu, @JesseGomezBrain, & @kalatwt:
biorxiv.org/content/10.1101/…
Garikoitz Lerma-Usabiaga retweeted
SynthSeg is now available in the development version of @FreeSurferMRI at surfer.nmr.mgh.harvard.edu/p…. You can simply run "synthseg --i in.nii --o out.nii" to segment brain MR of any resolution & contrast.
Paper at arxiv.org/abs/2107.09559
With @LeemputKoen, @AdrianDalca, @BruceFischl
