Jonathan Rittmo
@jorittmo.bsky.social
Failed poet. Neuroimaging, statistics, Alzheimer's and aging.
Optimizing the rng seed.
Optimizing the rng seed.
Thank you so much! Yeah, the gradients seem to be key to so many things. Will be v interested to read your paper when out!
May 27, 2025 at 4:23 PM
Thank you so much! Yeah, the gradients seem to be key to so many things. Will be v interested to read your paper when out!
Massive thanks to the
@biofinder.bsky.social team, @nfranzme.bsky.social team and all co-authors for sharing their data and insights – I’ve learnt so much!
@rikossenkoppele.bsky.social @aitchbi.bsky.social @teanijarv.bsky.social @ted-satterthwaite.bsky.social
and all non-bsky people
@biofinder.bsky.social team, @nfranzme.bsky.social team and all co-authors for sharing their data and insights – I’ve learnt so much!
@rikossenkoppele.bsky.social @aitchbi.bsky.social @teanijarv.bsky.social @ted-satterthwaite.bsky.social
and all non-bsky people
May 27, 2025 at 4:03 PM
Massive thanks to the
@biofinder.bsky.social team, @nfranzme.bsky.social team and all co-authors for sharing their data and insights – I’ve learnt so much!
@rikossenkoppele.bsky.social @aitchbi.bsky.social @teanijarv.bsky.social @ted-satterthwaite.bsky.social
and all non-bsky people
@biofinder.bsky.social team, @nfranzme.bsky.social team and all co-authors for sharing their data and insights – I’ve learnt so much!
@rikossenkoppele.bsky.social @aitchbi.bsky.social @teanijarv.bsky.social @ted-satterthwaite.bsky.social
and all non-bsky people
As my first PhD proj I’m v happy to finally share our findings with the world! It’s been a ride, and I am immensely grateful to the tireless @jwvogel.bsky.social for putting up with me + our team for all support: DeMON lab (@xiaoyucaly.bsky.social @anlijuncn.bsky.social and ppl not here)
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May 27, 2025 at 1:53 PM
As my first PhD proj I’m v happy to finally share our findings with the world! It’s been a ride, and I am immensely grateful to the tireless @jwvogel.bsky.social for putting up with me + our team for all support: DeMON lab (@xiaoyucaly.bsky.social @anlijuncn.bsky.social and ppl not here)
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The manuscript was written using #QuartoPub and is reproducible along with figures from start to finish with synthetic data at: github.com/DeMONLab-BioFINDER/fc_changes_follow_gradients
(although it may require some initial massaging to get started)
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(although it may require some initial massaging to get started)
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GitHub - DeMONLab-BioFINDER/fc_changes_follow_gradients
Contribute to DeMONLab-BioFINDER/fc_changes_follow_gradients development by creating an account on GitHub.
github.com
May 27, 2025 at 1:53 PM
The manuscript was written using #QuartoPub and is reproducible along with figures from start to finish with synthetic data at: github.com/DeMONLab-BioFINDER/fc_changes_follow_gradients
(although it may require some initial massaging to get started)
9/
(although it may require some initial massaging to get started)
9/
In sum, we reveal an elegant organizational logic behind functional brain responses to aging and AD – we show these changes to have a dynamic nature, tie to them to cognitive performance, and suggest them to be neural responses to cognitive strain
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May 27, 2025 at 1:53 PM
In sum, we reveal an elegant organizational logic behind functional brain responses to aging and AD – we show these changes to have a dynamic nature, tie to them to cognitive performance, and suggest them to be neural responses to cognitive strain
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Why does this happen?
We hypothesize that the reason for these divergent patterns may be due to the brain trying to compensate for compromised cognitive function
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We hypothesize that the reason for these divergent patterns may be due to the brain trying to compensate for compromised cognitive function
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May 27, 2025 at 1:53 PM
Why does this happen?
We hypothesize that the reason for these divergent patterns may be due to the brain trying to compensate for compromised cognitive function
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We hypothesize that the reason for these divergent patterns may be due to the brain trying to compensate for compromised cognitive function
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Why does this matter?
Because these gradient-aligned FC alterations were also strongly related to cognitive function – independently of age or AD
They could be signals of cognitive strain
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Because these gradient-aligned FC alterations were also strongly related to cognitive function – independently of age or AD
They could be signals of cognitive strain
6/
May 27, 2025 at 1:53 PM
Why does this matter?
Because these gradient-aligned FC alterations were also strongly related to cognitive function – independently of age or AD
They could be signals of cognitive strain
6/
Because these gradient-aligned FC alterations were also strongly related to cognitive function – independently of age or AD
They could be signals of cognitive strain
6/
Importantly, we see longitudinal increase in AD pathology leading to similar FC patterns
Using a sliding window approach in the longitudinal subsample, we also replicate the non-linear pattern seen above
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Using a sliding window approach in the longitudinal subsample, we also replicate the non-linear pattern seen above
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May 27, 2025 at 1:53 PM
Importantly, we see longitudinal increase in AD pathology leading to similar FC patterns
Using a sliding window approach in the longitudinal subsample, we also replicate the non-linear pattern seen above
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Using a sliding window approach in the longitudinal subsample, we also replicate the non-linear pattern seen above
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Much work has pointed to FC increasing in early AD only to later decline
Using non-linear modelling we show that gradient-alignment seems to follow a similar trajectory: alignment happens early in the disease only to later decline
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Using non-linear modelling we show that gradient-alignment seems to follow a similar trajectory: alignment happens early in the disease only to later decline
4/
May 27, 2025 at 1:53 PM
Much work has pointed to FC increasing in early AD only to later decline
Using non-linear modelling we show that gradient-alignment seems to follow a similar trajectory: alignment happens early in the disease only to later decline
4/
Using non-linear modelling we show that gradient-alignment seems to follow a similar trajectory: alignment happens early in the disease only to later decline
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We found that age and AD systematically alter FC across the entire cortex
These changes aligned w axes of brain organization which reflect core principles of cortical function:
🔹 Age → executive–nonexecutive axis (Gradient 3)
🔹 AD → sensory–association axis (Gradient 1)
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These changes aligned w axes of brain organization which reflect core principles of cortical function:
🔹 Age → executive–nonexecutive axis (Gradient 3)
🔹 AD → sensory–association axis (Gradient 1)
3/
May 27, 2025 at 1:53 PM
We found that age and AD systematically alter FC across the entire cortex
These changes aligned w axes of brain organization which reflect core principles of cortical function:
🔹 Age → executive–nonexecutive axis (Gradient 3)
🔹 AD → sensory–association axis (Gradient 1)
3/
These changes aligned w axes of brain organization which reflect core principles of cortical function:
🔹 Age → executive–nonexecutive axis (Gradient 3)
🔹 AD → sensory–association axis (Gradient 1)
3/
Prior studies of FC in age and AD have reported both hyper- and hypo-connectivity across different regions and networks, sometimes in discrepancy with one another
We took a broader view and examined these changes from the lens of large scale functional organization (gradients)
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We took a broader view and examined these changes from the lens of large scale functional organization (gradients)
2/
May 27, 2025 at 1:53 PM
Prior studies of FC in age and AD have reported both hyper- and hypo-connectivity across different regions and networks, sometimes in discrepancy with one another
We took a broader view and examined these changes from the lens of large scale functional organization (gradients)
2/
We took a broader view and examined these changes from the lens of large scale functional organization (gradients)
2/