Junghee Lee
@jungheelee.bsky.social
48 followers 100 following 30 posts
Clinical neuroscientist; Interested in neural systems related to social behavior in people with severe mental illness or infectious disease
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Reposted by Junghee Lee
lucinauddin.bsky.social
New from Brandon Taraku 🧠: Modulation of functional network co-activation pattern dynamics following ketamine treatment in major depression url: direct.mit.edu/imag/article...
Modulation of functional network co-activation pattern dynamics following ketamine treatment in major depression
Abstract. Ketamine produces fast-acting antidepressant effects in treatment resistant depression (TRD). Prior studies have shown altered functional dynamics between brain networks in major depression. We thus sought to determine whether functional brain network dynamics are modulated by ketamine therapy in TRD. Participants with TRD (n=58, mean age=40.7 years, female=48.3%) completed resting-state fMRI scans and clinical assessments (mood and rumination) at baseline and 24 h after receiving four ketamine infusions (0.5mg/kg) over two weeks. Healthy controls (HC) (n=56, mean age=32.8 years, female=57.1%) received the same assessments at baseline and after two weeks in a subsample without treatment. A co-activation pattern (CAP) analysis identified recurring patterns of brain activity across all subjects using k-means clustering. Statistical analyses compared CAP metrics including the fraction of time (FT) spent in a brain state, and the transition probability (TP) from one state to another over time and associations with clinical improvement. Follow-up analyses compared HC and TRD at baseline. Six brain state clusters were identified, including patterns resembling the salience (SN), central executive (CEN), visual (VN), default mode (DMN), and somatomotor (SMN) networks. Following ketamine, TRD patients showed decreased FT for the VN (p=7.4E-04) and increased FT for the CEN state (p=1.9E-03). For TP metrics, SN-CEN increased (p=5.8E-04) and SN-VN decreased (p=3.6E-03). Decreased FT for the SN associated with improved rumination (p=1.9E-03). At baseline, lower FT for CEN (p=5.70E-04) and TP for SN-CEN (p=0.016) and higher TP for SN-VN (p=2.60E-03) distinguished TRD from HCs. CAP metrics remained stable over time in a subsample of HCs (n=18). These findings suggest ketamine modulates brain network dynamics between SN, CEN and VN in TRD, which may normalize dynamic patterns seen in TRD at baseline towards patterns seen in controls. Changes in SN state dynamics may correspond to improvements in ruminative symptoms following ketamine therapy.
direct.mit.edu
Reposted by Junghee Lee
autismcrisis.bsky.social
"neither autism nor autism traits lead to suboptimal... decision-making" & "autism leads to less exploration while more autism traits did not (or even to more exploration)" molecularautism.biomedcentral.com/articles/10.... "results caution against extrapolating findings from trait studies to autism"
Different exploration strategies along the autism spectrum: diverging effects of autism diagnosis and autism traits - Molecular Autism
When faced with many options to choose from, humans typically need to explore the utility of new choice options. People with an autism diagnosis or elevated autism traits are thought to avoid exploring such unknown options, but it remains unclear how autism affects exploration in decision spaces with many options. In a large online sample (N = 588), we investigated the impact of autism diagnosis or elevated autism traits on exploration behavior during value-based decision-making in vast decision spaces. We used a 121-armed bandit with spatially correlated choice options, and a dedicated computational model to disentangle generalization, uncertainty-guided exploration, and random exploration strategies. Our findings show that participants with a self-reported autism diagnosis were less likely to explore novel choice options and more likely to exploit known high-value options. Computational modeling suggests they engaged in less uncertainty-driven exploration but exhibited equal random exploration and generalization strategies. Interestingly, among non-diagnosed participants, people with elevated autism traits did not explore less. This study relies on self-reported autism diagnoses and trait measures collected online. This may limit the generalizability of the findings to clinically verified or more diverse autism populations. Our findings highlight important differences in exploration strategies between clinical and subclinical populations and emphasize the importance of cognitive modeling and using vast decision spaces to better understand autism.
molecularautism.biomedcentral.com
Reposted by Junghee Lee
jama.com
JAMA @jama.com · 4d
An estimated 61% of U.S. children have been enrolled in #Medicaid or CHIP and 42% have experienced periods of uninsurance by age 18, with insurance disruptions being more common in states with restrictive Medicaid policies.

ja.ma/474AItj
JAMA graphs show childhood insurance dynamics. Graph A: Medicaid/CHIP coverage vs. age. "Ever in Medicaid" peaks at 61%. Graph B: Uninsurance vs. age. "Ever uninsured" reaches 42%, while "Always uninsured" is 0%. Published Sept 24, 2025.
Reposted by Junghee Lee
sinelabdtu.bsky.social
🫁❤️New preprint out: The social, decoupled self

We show effects of interpersonal synchronization of physiological rhythms on intrapersonal cardiorespiratory coupling: when we sync our breathing, our breathing–heart rhythms decouple, with a perturbed phase-relationship
www.biorxiv.org/content/10.1...
The social, decoupled self: interpersonal synchronization of breathing alters intrapersonal cardiorespiratory coupling
People synchronize their periodic behavioural and physiological rhythms with each other during social interaction. While this interpersonal synchronization has largely been associated with positive ef...
www.biorxiv.org
Reposted by Junghee Lee
Reposted by Junghee Lee
marspidermonkey.bsky.social
When we hear about a lone scientist who made groundbreaking discoveries on their own, it’s usually erasing the truth that science is a team sport, and field research builds on the local knowledge and expertise of the people that live there (8/10)
Reposted by Junghee Lee
layerfmri.bsky.social
New layer-fMRI preprint using simultaneous layer-fMRI with EEG at 7T. Establishing an acquisition and analysis setup to capture layer-fMRI correlates of spontaneous alpha power variations.
By Marsh et al.
doi.org/10.1101/2025...
Reposted by Junghee Lee
katharinehayhoe.com
I may have found my defining quote.

Pair this with my pinned post and you will see what I mean!
From a poster called “just shower thoughts“ reading: when people talk about traveling to the past, they worry about radically, changing the present by doing something small, barely anyone in the present to really thinks that they can radically change the future by doing something small.
Reposted by Junghee Lee
nicolecrust.bsky.social
Save the date 📆. On Oct 22/23, @nationalacademies.org will hold a stellar virtual workshop on brain/body interations (open to all).

www.nationalacademies.org/en/our-work/...
Title: Understanding Brain-Body Interactions to Advance Brain Health: A Workshop. Photo: picture of a transparent person with brain and nervous system illuminated.
Reposted by Junghee Lee
kathaschmack.bsky.social
Really enjoyed my weekend read on 𝐚𝐜𝐭𝐢𝐯𝐞 𝐟𝐢𝐥𝐭𝐞𝐫𝐢𝐧𝐠: local recurrence amplifies natural input patterns and suppresses stray activity. This review beautifully argues that sensory cortex itself is a site of memory and prediction. Food for thought on hallucinations!

#neuroskyence #neuroscience
jungheelee.bsky.social
Synchrony and symphony by Flavio Frohlich #SRP2025
jungheelee.bsky.social
Wonderful talk on brain dynamics by Scott Sponheim, SRP President #SRP2025
Reposted by Junghee Lee
kathaschmack.bsky.social
How does the brain fill in what's missing?

Pattern completion pushes visual cortex into "seeing" what is not there. Great to see this out, congrats to the authors on this impressive work!

#neuroskyence
Reposted by Junghee Lee
sylvainbaillet.bsky.social
The multimodal sky's the limit now with Brainstorm.

Now featuring PET data integration with electrophysiology and MRI.
neuroimage.usc.edu/brainstorm/T...

Open source, free, for anyone interested (>50,000 users registered so far, >4,500 studies published.)