#PhDone! Thank you so much, Claire, but also to the examiners Claire and Clare! 😁 And many thanks to everyone who came to support me or joined for the celebrations! ❤️ I'm also happy to report the wonderful hat made it home with me despite the attention it gained at the airport security 😅 🎓
Out now in Alzheimer's & Dementia, @annarosicka.bsky.social uses the
@neurekaApp and data from thousands of citizen scientists to examine how well-established ricks factors relate to subjective versus objective cognitive ability across the lifespan. doi.org/10.1002/alz....
Yesterday I submitted my PhD thesis, bringing to a close my 3 years of 🧠 health research at Trinity College Dublin! Thank you to everyone who supported me along this journey. (Yes, I celebrated with my "Sleep and relax" herbal infusion, joined by Ms. Rubber Duck the Tea Strainer. 🦆)
Are you interested in gamified smartphone assessments or in ApoE-e4 effects on cognition? Come visit my poster 722 at #AAIC2024 to chat! 😊🧠 So excited to present more of PhD work with Neureka in Philadelphia this year!
We are taking applications for a 3-year POSTDOC position on the topic of tracking cognitive dynamics using passive smartphone sensor data, in clinical and non clinical samples with the Neureka app gillanlab.com/join-the-lab/ Closing June 1st. Pls share 🔁👍 or reach out with any informal queries!
Could we use timestamps on surveys to assess cognition? Enter DQRT, digital questionnaire response times! Big kudos to @glassybrain.bsky.social for this thorough validation work (and for creating some of the prettiest figures I've ever seen!) 🙌 Practical tips on how to use the measure included👇
Just a couple of weeks left to apply for this open postdoc position in my lab gillanlab.com/join-the-lab/ on the topic of cognitive fluctuations, with smartphone sensor data and fairly broad scope to make it your own!
Deadline January 4th to apply for this PhD position in my lab! Please share 🔁. 4 years of funding, working on apps, psychotic-like experiences, passive sensors and cognitive testing
Trying to read myself into a new research area: the relationship of the menstrual cycle and mood disorders broadly. Not so much interested in biology/mechanisms rather than descriptive epidemiological evidence and open questions. Recommendations welcome—thanks a lot!
Vagal signals are classically seen as inhibitory but there is lots of evidence suggesting they are way more adaptive than that. @nbkroemer.bsky.social and I packed them into an easily digestible TiCS review for you to feast on 🔥 50 day free access, and a little appetizer 👇 🧠🟦
tinyurl.com/bdh279jv
We are recruiting a new PhD student to work on an exciting new area in our lab - developing passive smartphone 📱proxies for cognition and symptoms with lots of cool data science methods and a clinical focus on psychotic like experiences in the gen. pop. gillanlab.com/join-the-lab/
Thanks Vanessa 😊
PS: Check out @kellydonegan.bsky.social et al's recent paper on arguably the most fun of the three games, Cannon Blast! bit.ly/47c0wB5
Huge thanks to my supervisor @clairegillan.bsky.social, my co-authors @glassybrain.bsky.social, Sol Fittialdi, Agustín Ibanez, Andrew Pringle, Eoghan Gallagher, Anna Hanlon, , Nathalie Claus, Cathal McCrory, Brian Lawlor, &Lorina Naci, our funder SFI, and our amazing Neureka participants! 8/8
Our findings suggest subjective cognition 💬 is more sensitive to self-report risk factors than objective cognition. Now which one should be priority in research and policy?
Our study also highlights the potential of smartphones to detect & study earliest cognitive impairments. 7/8
These associations remained even after controlling for depression.👇 Age? Surprisingly, not a major player, as the associations were mostly consistent across lifespan and did not match the 'sensitive windows' proposed in the popular life-course model of dementia risk factors. 6/8
Depression, SES, hearing, loneliness, education, smoking, tinnitus, exercise, social network, stroke, diabetes, and hypertension were all linked to impairments in at least 1 measure. But when put on the same scale (C), SUBJECTIVE memory had the strongest link to most factors! 5/8
Let's look at cognition first: In line with previous studies, subjective and objective cognitive problems overlapped very little (r=.07–.16). Both types of cognition were worse in older participants. Women were more likely to have subjective, but not objective impairments! 4/8
We used the power of #citizenscience to gather cross-sectional data from 3,376(!) participants (ages 18–86, M=46) via @neurekaApp. We quantified the associations of 13 risk factors with both 1) subjective memory and 2) three objective (gamified! 👾) measures of executive function.
Specifically, we wondered if subjectively reported 💬 and objectively measured 🔍 cognitive problems differ in their links to modifiable risk factors for dementia. Studies show both types of cognition are sensitive to risk factors even in healthy adults, but direct comparisons were missing! 2/8
📢 Excited to share the first preprint of my PhD!🧠 doi.org/10.31234/osf...
Do you feel you have memory problems? And would an objective test detect any? Both subjective & objective insights can help in early detection of cognitive decline. Here, we used the Neureka app📱 to study both! 1/8
Hi Bluesky folks! I'm looking for a good journal for a longer review on #Alzheimers risk factors, someplace with a less stringent word limit. Any recommendations?
#AcademicSky #episky
