Lijun An
@anlijuncn.bsky.social
Postdoc@Jacob Vogel ⬅️ PhD@Thomas Yeo. Neurodegenerative Disease, Brain Imaging, Machine Learning, Multi-omics
https://anlijun.cn
https://anlijun.cn
Pinned
Lijun An
@anlijuncn.bsky.social
· Jul 15
Benchmarking the AI-based diagnostic potential of plasma proteomics for neurodegenerative disease in 17,170 people
Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, specific and scalable biomarkers for in vivo pathologi...
www.medrxiv.org
Can AI reveal risk & co-pathology of multiple neurodegenerative diseases from a single blood sample? We explored AI-based diagnostic power on high rank plasma proteomics (N=17,170). www.medrxiv.org/content/10.1... #neuroskyence #neurosky #Alzheimer #compneuro #AI #datascience #neurology
Check out lab's latest preprint for MRI super resolution!!!
‼️NEW PREPRINT‼️
What if you could take a normal 3T T1w MRI and make it look like it was acquired from a 7T scanner?
That's exactly what we do using AI in our new preprint!
Link: arxiv.org/abs/2507.13782
#neuroskyence #neurosky #compneuro #AI #datascience #neurology #mrisky #neuroimaging
What if you could take a normal 3T T1w MRI and make it look like it was acquired from a 7T scanner?
That's exactly what we do using AI in our new preprint!
Link: arxiv.org/abs/2507.13782
#neuroskyence #neurosky #compneuro #AI #datascience #neurology #mrisky #neuroimaging
July 22, 2025 at 5:52 AM
Check out lab's latest preprint for MRI super resolution!!!
Reposted by Lijun An
Incredibly excited for this new work from our lab. We test the potential of AI-based neurodegenerative disease diagnostics using plasma proteomics data from n>17,000 people, led by the brilliant and indefatigable @anlijuncn.bsky.social Check it out!👇
Can AI reveal risk & co-pathology of multiple neurodegenerative diseases from a single blood sample? We explored AI-based diagnostic power on high rank plasma proteomics (N=17,170). www.medrxiv.org/content/10.1... #neuroskyence #neurosky #Alzheimer #compneuro #AI #datascience #neurology
Benchmarking the AI-based diagnostic potential of plasma proteomics for neurodegenerative disease in 17,170 people
Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, specific and scalable biomarkers for in vivo pathologi...
www.medrxiv.org
July 17, 2025 at 5:51 AM
Incredibly excited for this new work from our lab. We test the potential of AI-based neurodegenerative disease diagnostics using plasma proteomics data from n>17,000 people, led by the brilliant and indefatigable @anlijuncn.bsky.social Check it out!👇
Reposted by Lijun An
1/11 Excited to share our @Naturestudy led by @leonooi.bsky.social @csabaorban.bsky.social @shaoshiz.bsky.social
AI performance is known to scale with logarithm of sample size (Kaplan 2020), but in many domains, sample size can be # participants or # measurements...
doi.org/10.1038/s415...
AI performance is known to scale with logarithm of sample size (Kaplan 2020), but in many domains, sample size can be # participants or # measurements...
doi.org/10.1038/s415...
July 17, 2025 at 1:36 AM
1/11 Excited to share our @Naturestudy led by @leonooi.bsky.social @csabaorban.bsky.social @shaoshiz.bsky.social
AI performance is known to scale with logarithm of sample size (Kaplan 2020), but in many domains, sample size can be # participants or # measurements...
doi.org/10.1038/s415...
AI performance is known to scale with logarithm of sample size (Kaplan 2020), but in many domains, sample size can be # participants or # measurements...
doi.org/10.1038/s415...
Can AI reveal risk & co-pathology of multiple neurodegenerative diseases from a single blood sample? We explored AI-based diagnostic power on high rank plasma proteomics (N=17,170). www.medrxiv.org/content/10.1... #neuroskyence #neurosky #Alzheimer #compneuro #AI #datascience #neurology
Benchmarking the AI-based diagnostic potential of plasma proteomics for neurodegenerative disease in 17,170 people
Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, specific and scalable biomarkers for in vivo pathologi...
www.medrxiv.org
July 15, 2025 at 8:08 PM
Can AI reveal risk & co-pathology of multiple neurodegenerative diseases from a single blood sample? We explored AI-based diagnostic power on high rank plasma proteomics (N=17,170). www.medrxiv.org/content/10.1... #neuroskyence #neurosky #Alzheimer #compneuro #AI #datascience #neurology
Check out Xiaoyu’s fantastic work!!
🧠New preprint! What drives tau, the pathological protein in AD, to spread?
We found that WHERE tau appears and HOW MUCH accumulates are governed by different mechanisms. Check it out: www.biorxiv.org/content/10.1...
#MedSky #neuroskyence #neurosky #alzsky #compneuro #MRI #neuroimaging #neurology
We found that WHERE tau appears and HOW MUCH accumulates are governed by different mechanisms. Check it out: www.biorxiv.org/content/10.1...
#MedSky #neuroskyence #neurosky #alzsky #compneuro #MRI #neuroimaging #neurology
www.biorxiv.org
May 2, 2025 at 9:51 AM
Check out Xiaoyu’s fantastic work!!
Reposted by Lijun An
🧵15/ Huge thanks to our amazing team and coauthors!
Endless thanks to @jwvogel.bsky.social for guiding and supporting this work from day one. To our amazing team DeMON lab, especially @anlijuncn.bsky.social for enormous support.
Endless thanks to @jwvogel.bsky.social for guiding and supporting this work from day one. To our amazing team DeMON lab, especially @anlijuncn.bsky.social for enormous support.
April 24, 2025 at 7:42 PM
🧵15/ Huge thanks to our amazing team and coauthors!
Endless thanks to @jwvogel.bsky.social for guiding and supporting this work from day one. To our amazing team DeMON lab, especially @anlijuncn.bsky.social for enormous support.
Endless thanks to @jwvogel.bsky.social for guiding and supporting this work from day one. To our amazing team DeMON lab, especially @anlijuncn.bsky.social for enormous support.
Reposted by Lijun An
Check our latest preprint led by the amazing @tianchu.bsky.social and @tianfang.bsky.social where we speed up the tedious parameter optimization process for biophysical modelling
While the world burns, we cook up a new preprint! doi.org/10.1101/2025...
Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike artificial neural networks), but the dirty secret ... 1/N
Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike artificial neural networks), but the dirty secret ... 1/N
April 11, 2025 at 5:27 AM
Check our latest preprint led by the amazing @tianchu.bsky.social and @tianfang.bsky.social where we speed up the tedious parameter optimization process for biophysical modelling
Reposted by Lijun An
Happy to share that our article “Human lifespan changes in the brain’s functional connectome” is now published online at Nature Neuroscience @natureneuro.bsky.social !
Many thanks to all collaborators & data contributors, and the editor team & reviewers!
www.nature.com/articles/s41...
Many thanks to all collaborators & data contributors, and the editor team & reviewers!
www.nature.com/articles/s41...
Human lifespan changes in the brain’s functional connectome - Nature Neuroscience
Sun et al. report human lifespan changes in the brain’s functional connectome in 33,250 individuals, which highlights critical growth milestones and distinct maturation patterns and offers a normative...
www.nature.com
April 4, 2025 at 5:48 AM
Happy to share that our article “Human lifespan changes in the brain’s functional connectome” is now published online at Nature Neuroscience @natureneuro.bsky.social !
Many thanks to all collaborators & data contributors, and the editor team & reviewers!
www.nature.com/articles/s41...
Many thanks to all collaborators & data contributors, and the editor team & reviewers!
www.nature.com/articles/s41...
Reposted by Lijun An
While the world burns, we cook up a new preprint! doi.org/10.1101/2025...
Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike artificial neural networks), but the dirty secret ... 1/N
Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike artificial neural networks), but the dirty secret ... 1/N
April 11, 2025 at 1:35 AM
While the world burns, we cook up a new preprint! doi.org/10.1101/2025...
Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike artificial neural networks), but the dirty secret ... 1/N
Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike artificial neural networks), but the dirty secret ... 1/N
Reposted by Lijun An
Updated preprint for those who might be interested: doi.org/10.1101/2024...
March 26, 2025 at 4:50 AM
Updated preprint for those who might be interested: doi.org/10.1101/2024...
Excellent work by Ruby!!
It's finally here! Use the Network Correspondence Toolbox to help contextualize your neuroimaging findings 🧠
A network correspondence toolbox for quantitative evaluation of novel neuroimaging results - Nature Communications
Here, the authors present the Network Correspondence Toolbox, which enables researchers to examine and report spatial correspondence between their neuroimaging results and widely used brain atlases.
www.nature.com
March 26, 2025 at 7:24 AM
Excellent work by Ruby!!
Reposted by Lijun An
a cool new study "established in India & Tanzania, with appropriate training, structured teams, & daily automated analysis & feedback, non-specialists can reliably collect EEG data alongside various survey & assessments w/ consistently high throughput & quality. "
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
EEG data quality in large scale field studies in India and Tanzania
There is a growing imperative to understand the neurophysiological impact of our rapidly changing and diverse technological, social, chemical, and physical environments. To untangle the multidimension...
www.biorxiv.org
December 11, 2024 at 12:19 PM
a cool new study "established in India & Tanzania, with appropriate training, structured teams, & daily automated analysis & feedback, non-specialists can reliably collect EEG data alongside various survey & assessments w/ consistently high throughput & quality. "
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
Reposted by Lijun An
This paper sets up a bit of a straw man in that I don't think most people who use movies and stories as fMRI stimuli assume that all movies will (or should) evoke the same response. In a naturalistic neuroimaging expt, the movie *is* the task...
Between-movie variability severely limits generalizability of “naturalistic” neuroimaging
“Naturalistic imaging” paradigms, where participants watch movies during fMRI, have gained popularity over the past two decades. Many movie-watching studies measure inter-subject correlation (ISC), wh...
www.biorxiv.org
December 11, 2024 at 3:30 PM
This paper sets up a bit of a straw man in that I don't think most people who use movies and stories as fMRI stimuli assume that all movies will (or should) evoke the same response. In a naturalistic neuroimaging expt, the movie *is* the task...
Reposted by Lijun An
🚨 Brain Age vs Direct Models in Alzheimer’s disease (AD) 🚨 A thread 🧵
1/ Brain age is a powerful indicator of general brain health, trained on massive datasets. But does this translate to better prediction for specific outcomes, like AD?
Preprint by @twktan.bsky.social : doi.org/10.1101/2024...
1/ Brain age is a powerful indicator of general brain health, trained on massive datasets. But does this translate to better prediction for specific outcomes, like AD?
Preprint by @twktan.bsky.social : doi.org/10.1101/2024...
November 20, 2024 at 3:06 AM
🚨 Brain Age vs Direct Models in Alzheimer’s disease (AD) 🚨 A thread 🧵
1/ Brain age is a powerful indicator of general brain health, trained on massive datasets. But does this translate to better prediction for specific outcomes, like AD?
Preprint by @twktan.bsky.social : doi.org/10.1101/2024...
1/ Brain age is a powerful indicator of general brain health, trained on massive datasets. But does this translate to better prediction for specific outcomes, like AD?
Preprint by @twktan.bsky.social : doi.org/10.1101/2024...