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Gagan Wig

@gaganwig.bsky.social
128 followers 224 following 21 posts

Cognitive Neuroscientist - Aging, Alzheimer's disease, Brain networks Professor - UT Dallas' Center for Vital Longevity wigneurolab.org

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Reposted by Gagan Wig
Imaging Neuroscience @imagingneurosci.bsky.social · 27/08/2026
New paper in Imaging Neuroscience by Micaela Y. Chan, Liang Han, Gagan S. Wig: Systematic fMRI signal differences across cohorts alter lifespan trajectories of functional brain networks doi.org/10.1162/IMAG...
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Michel Nivard @michelnivard.bsky.social · 02/09/2026
🚨& 🧵 Our new Nature paper is out! Across 46 cohorts and up to 1.14M people per Big Five trait, we do GWAS and ask how robust, generalizable and consequential the genetic signals underlying personality really are. www.nature.com/articles/s41...
nature.com
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Micaela Chan @micaelachan.bsky.social · 01/09/2026
Take-home: Combining data increases power, but a larger N won’t always improve inferences if data features differ across cohorts. When combining cohorts/studies (e.g., multiple lifespan segments of the HCP), data harmonization and reporting of how this was achieved is critical.
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Micaela Chan @micaelachan.bsky.social · 01/09/2026
Harmonization can mitigate these HCP cohort differences, but implementation matters! Example here shows harmonization correcting for ‘protocol’ was more optimal than correcting for ‘site.’
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Micaela Chan @micaelachan.bsky.social · 01/09/2026
These young-adult dips and blips are not typical lifespan patterns, and we show this using two independent reference lifespan datasets: NKI-Rockland Sample (NKI) and Dallas Lifespan Brain Study (DLBS). Neither showed the marked young-adult deviation seen in the HCP data.
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Micaela Chan @micaelachan.bsky.social · 01/09/2026
The cohort-level signal differences in HCP-YA distort measurements of brain network organization, resulting in surprising decreases and increases in multiple measure of brain organization during young-adulthood.
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Micaela Chan @micaelachan.bsky.social · 01/09/2026
The human connectome project (HCP) is an amazing open resource that spans from development to old adulthood. But the scanners/protocol weren’t identical across cohorts, resulting in cohort-differences in signal-to-noise ratio in the functional scans (e.g., resting-state).
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Micaela Chan @micaelachan.bsky.social · 01/09/2026
Combining data to study lifespan brain aging is tempting: more data and wider age range! But mixing data across scanners/protocols without proper harmonization can bias age effects, including studies using high-quality HCP data. Imaging Neuroscience🔔doi.org/10.1162/IMAG.a.1338
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Gagan Wig @gaganwig.bsky.social · 01/09/2026
Using HCP data to examine lifespan differences in functional brain activity or network organization? See below! A reminder that even subtle differences in data acquisition between cohorts can change our conclusions. This issue will only become more relevant as we pool neuroimaging datasets.
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Caterina Gratton @caterinagratton.bsky.social · 11/06/2026
How can we acquire new knowledge and skills on a daily basis while remaining the same person? I'm excited to share our new preprint led by @hyejinjadelee.bsky.social & Ally Dworetsky tackling this question, just in time for #OHBM2026: doi.org/10.64898/202... 🧵👇 #neuroskyence #PsychSciSky
doi.org
Functional brain organization is stable within individuals across years
Brain regions exhibit dynamic yet highly coordinated activity patterns that form large-scale functional networks measurable through resting-state correlations. While their association with fluctuating...
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Thomas Yeo @bttyeo.bsky.social · 13/06/2026
Openly shared implementation of TMS targeting is still rare, so we are pleased to make ours freely available for research use: github.com/ThomasYeoLab... Let us know if you have any issue running it!
github.com
GitHub - ThomasYeoLab/Kong2026_TMSTree: Tree-based MS-HBM TMS targeting algorithm
Tree-based MS-HBM TMS targeting algorithm. Contribute to ThomasYeoLab/Kong2026_TMSTree development by creating an account on GitHub.
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Scott Marek @smarek0502.bsky.social · 11/06/2026
What matters most for childhood brain organization? We analyzed 649 variables. The answer: Socioeconomics (SES); with brain patterns pointing at sleep & stress as drivers. Even brain-IQ associations were better explained by SES. In Science today: www.science.org/doi/10.1126/...
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Armin Raznahan @bogglerapture.bsky.social · 28/05/2026
Do humans show sex differences in brain activation? If so, are these task-specific or general — and do they relate to sex differences in brain anatomy and behavior? We dove deep into these questions in a new paper just out in Nature Communications | tinyurl.com/3rdrb524
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Dr Alison Weiss @dralisonweiss.bsky.social · 10/05/2026
Anti-science politicians and activists are spreading misinformation about science in Oregon. These misinformation campaigns have put the Oregon National Primate Research Center (ONPRC) at risk of closure. We’re asking you to use your voice. savescienceoregon.org/butter #standupforscience
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Gagan Wig @gaganwig.bsky.social · 06/05/2026
We're hiring! FT research assistant @ UT Dallas Join our team to work on a longitudinal neuroimaging study of midlife brain aging. Strong opportunity for those interested in brain networks, aging, and Alzheimer’s disease risk. App. deadline now May 15. Details: jobs.utdallas.edu/postings/31680
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WFIU/WTIU News @wfiuwtiunews.bsky.social · 30/04/2026
Indiana University is in great financial health, according to a recent independent analysis. The report says administrative costs have grown significantly while instruction and faculty pay lagged. @weiss-a-woni.bsky.social Read more: www.ipm.org/news/2026-04...
Indiana University's Sample Gates with red and white tulips. The gates are made of limestone.
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Neuroskeptic @neuroskeptic.bsky.social · 28/04/2026
"The differences between modern human and Neanderthal brains, as estimated from endocranial reconstructions, do not meaningfully exceed those among different modern human populations." www.pnas.org/doi/10.1073/...
pnas.org
Neanderthal brain and cognition reconsidered | PNAS
Neanderthal endocrania are different in shape, though slightly larger in size than modern humans on average. These shape differences have long been...
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Gagan Wig @gaganwig.bsky.social · 21/04/2026
We're hiring! FT research assistant @ UT Dallas Join our team to work on a longitudinal neuroimaging study of midlife brain aging. Strong opportunity for those interested in brain networks, aging, and Alzheimer’s disease risk. App. deadline May 6. Details: jobs.utdallas.edu/postings/31680
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Nico Dosenbach @ndosenbach.bsky.social · 23/04/2026
Function & cytoarchitecture don't overlap ... they're orthogonal. Prefrontal cortex is plastered with chains of functional patches previously mostly known from face processing. Why multi-modal parcellations are wrong ... and other insights hidden by group-averaging of fMRI data. great explainer👇🏻
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Center for Vital Longevity @cvlneuro.bsky.social · 21/04/2026
Join this talented team! 🧠✨ Click on post below for details.
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maplotr.bsky.social @maplotr.bsky.social · 21/04/2026
Come join our awesome team 😎
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Gagan Wig @gaganwig.bsky.social · 21/04/2026
We're hiring! FT research assistant @ UT Dallas Join our team to work on a longitudinal neuroimaging study of midlife brain aging. Strong opportunity for those interested in brain networks, aging, and Alzheimer’s disease risk. App. deadline May 6. Details: jobs.utdallas.edu/postings/31680
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Mathias V. Schmidt @mathiasvschmidt.bsky.social · 20/04/2026
𝐍𝐞𝐰 𝐉𝐨𝐢𝐧𝐭 𝐂𝐚𝐥𝐥 𝐟𝐨𝐫 𝐏𝐚𝐩𝐞𝐫𝐬 I am thrilled to announce an editorial collaboration between 𝐍𝐞𝐮𝐫𝐨𝐛𝐢𝐨𝐥𝐨𝐠𝐲 𝐨𝐟 𝐒𝐭𝐫𝐞𝐬𝐬 and 𝐍𝐞𝐮𝐫𝐨𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐁𝐢𝐨𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐚𝐥 𝐑𝐞𝐯𝐢𝐞𝐰𝐬. With @bartolomuccilab.bsky.social, I am co-editing a virtual special issue focused on: 𝘚𝘵𝘳𝘦𝘴𝘴-𝘪𝘯𝘥𝘶𝘤𝘦𝘥 𝘪𝘮𝘱𝘢𝘪𝘳𝘦𝘥 𝘩𝘦𝘢𝘭𝘵𝘩 𝘢𝘯𝘥 𝘢𝘤𝘤𝘦𝘭𝘦𝘳𝘢𝘵𝘦𝘥 𝘢𝘨𝘪𝘯𝘨
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Imaging Neuroscience @imagingneurosci.bsky.social · 19/04/2026
New paper in Imaging Neuroscience by Peiying Liu, Hanzhang Lu, et al: Non-invasive MRI of choroid plexus vascular function doi.org/10.1162/IMAG...
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Rick Betzel @richardfbetzel.bsky.social · 14/04/2026
White matter pathways mediating dorsolateral prefrontal TMS therapy for depression New @natneuro.nature.com paper led by Caio Seguin, Robin Cash, and Andrew Zalesky. We map (indirect) pathways from DLPFC to SGC and link individual variation with response efficacy. www.nature.com/articles/s41...
nature.com
White matter pathways mediating dorsolateral prefrontal TMS therapy for depression - Nature Neuroscience
Seguin et al. show that the efficacy of transcranial magnetic stimulation for depression depends on how stimulation spreads through the brain’s wiring. Patients with shorter communication pathways bet...
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Animal Models for Social Dimensions of Health and Aging Network @animalsocaging.bsky.social · 14/04/2026
Can't wait for our individual RFAs to open this summer? We now offer Small/Working Group Meeting grants on a rolling basis! If you have an idea for a meeting topic relevant to network interests, click the link below for more information!
animalsocialaging-network.org
Small/Working Group Meetings | Animal Models for the Social Dimensions of Health and Aging Research Network
The Research Network is pleased to offer grants for small/working group meetings with the aim of facilitating collaboration among Network members and affiliates and prospective Network members. These…
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New papers in Network Science @networkspapers.bsky.social · 09/04/2026
PNAS: Correspondence of large-scale functional brain network decline across aging mice and humans www.pnas.org/doi/abs/10.1073/pnas.2…
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Paul Byrne @theplanetaryguy.com · 03/04/2026
This image of home just came down from the Artemis II crew. Taken after their translunar injection burn, there are aurorae at top right and lower left, and zodiacal light at lower right. Credit: NASA/Reid Wiseman
That's home. That's us.
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Gagan Wig @gaganwig.bsky.social · 02/04/2026
Humans live many more years than mice, but our brain networks are aging much faster. Brain network decline follows a common trajectory across mouse and human adulthood, with features of network organization linked to more rapid decline. www.pnas.org/doi/10.1073/...
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Dan Handwerker @danielhandwerker.bsky.social · 30/03/2026
How do we define "good" fMRI data? Especially with resting state, there are circularity risks if we evaluate data quality as showing the networks we expect to see. Javier Gonzalez-Castillo (& me & others) developed pBOLD, a new metric that uses multi-echo info. www.biorxiv.org/content/10.6... 1/8
biorxiv.org
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Center for Vital Longevity @cvlneuro.bsky.social · 01/04/2026
We’re excited to share a summary thread from the Wig Neuroimaging Lab on their latest PNAS publication. Explore the key findings below ⬇️
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Donna Dierker @donnadierker.bsky.social · 01/04/2026
"These findings point to a general process of functional dedifferentiation over adulthood, occurring at multiple levels of neural organization, from neurons to whole-brain networks."
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Animal Models for Social Dimensions of Health and Aging Network @animalsocaging.bsky.social · 30/03/2026
🎉Huge congratulations to McEwen fellow @ewinternelson.bsky.social and Dr. Gagan Wig of UT Dallas on their recent publication in PNAS on large-scale brain network decline across aging mice and humans and its translational relevance. Read the paper here: shorturl.at/gjau5
shorturl.at
Correspondence of large-scale functional brain network decline across aging mice and humans | PNAS
Human aging is marked by progressive reorganization of large-scale functional brain networks; these brain network changes have been linked to cogni...
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Ezra Winter-Nelson @ewinternelson.bsky.social · 31/03/2026
The first part of my PhD research is out now in PNAS! See the thread below and stay tuned for my dissertation work, which builds on this cross-species model of brain network aging
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Columbia University's Zuckerman Institute @zuckermanbrain.bsky.social · 28/03/2026
By analyzing brain activity throughout the lives of mice, Itamar Kahn, Gagan Wig, Ezra Winter-Nelson & team found that the rodent’s brain ages similarly to that of a human. Studying mice could therefore be a way to learn about how our brains decline as we grow old. @pnas.org tinyurl.com/38xwm5hv
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Gagan Wig @gaganwig.bsky.social · 31/03/2026
Aging reorganizes human large-scale brain networks, with consequences for cognition & dementia risk. We’ve now mapped brain network changes over a wide range of the mouse lifespan. The changes mirror key features of human aging, but not entirely New @pnas.org paper🧵 www.pnas.org/doi/10.1073/...
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