Aaron Kucyi
@neuroperson.bsky.social
Assistant Professor, Drexel University | Cognitive Neuroscience | Spontaneous Thought | kucyilab.com
So nice to hear, congrats to you both!
May 30, 2025 at 8:57 PM
So nice to hear, congrats to you both!
11/ thanks to co-authors @rodbraga.bsky.social and others who may or may not be bluesky yet (?)
November 22, 2024 at 8:21 PM
11/ thanks to co-authors @rodbraga.bsky.social and others who may or may not be bluesky yet (?)
10/ Even though our study is only n=3, this project made me hopeful about precision fMRI and its capacity to disentangle state vs. trait effects, which likely requires an idiographic approach (more on this to come from the lab soon)
November 22, 2024 at 8:16 PM
10/ Even though our study is only n=3, this project made me hopeful about precision fMRI and its capacity to disentangle state vs. trait effects, which likely requires an idiographic approach (more on this to come from the lab soon)
9/ I believe our paper offers some of the strongest evidence to date that dynamic functional connectivity at “rest” reflects spontaneous thought– at least to some degree (see direct.mit.edu/imag/article... for new excellent overview on contributions of other factors)
Challenges in the measurement and interpretation of dynamic functional connectivity
Abstract. In functional MRI (fMRI), dynamic functional connectivity (dFC) typically refers to fluctuations in measured functional connectivity on a time scale of seconds. This perspective piece focuse...
direct.mit.edu
November 22, 2024 at 8:15 PM
9/ I believe our paper offers some of the strongest evidence to date that dynamic functional connectivity at “rest” reflects spontaneous thought– at least to some degree (see direct.mit.edu/imag/article... for new excellent overview on contributions of other factors)
8/ Finally, connectome-based predictive models generated from other individuals or from larger-scale neuroimaging datasets largely failed when applied to densely sampled individuals, further highlighting the need for personalized models.
November 22, 2024 at 8:15 PM
8/ Finally, connectome-based predictive models generated from other individuals or from larger-scale neuroimaging datasets largely failed when applied to densely sampled individuals, further highlighting the need for personalized models.
7/ The whole-brain functional connectivity features were highly idiosyncratic, as they were comprised of individual-specific intra- and inter-network pairings (e.g. 2 individuals shown)
November 22, 2024 at 8:14 PM
7/ The whole-brain functional connectivity features were highly idiosyncratic, as they were comprised of individual-specific intra- and inter-network pairings (e.g. 2 individuals shown)
6/ Idiographic predictive models were successful, providing strong evidence that dynamic connectivity at “rest” reflects spontaneous cognition when personalized brain-experience mappings are considered
November 22, 2024 at 8:14 PM
6/ Idiographic predictive models were successful, providing strong evidence that dynamic connectivity at “rest” reflects spontaneous cognition when personalized brain-experience mappings are considered
5/ We then generated idiographic (within-individual) connectome-based predictive models of mind-wandering within each individual based on dynamic functional connectivity in 30-second windows prior to thought probes (as in www.nature.com/articles/s41... but for individuals, not a group)
Prediction of stimulus-independent and task-unrelated thought from functional brain networks - Nature Communications
People spend much of their daily lives thinking about things that are unrelated to their immediate environment. Using fMRI, Kucyi et al. show that occurrence of these “stimulus-independent” thoughts c...
www.nature.com
November 22, 2024 at 8:13 PM
5/ We then generated idiographic (within-individual) connectome-based predictive models of mind-wandering within each individual based on dynamic functional connectivity in 30-second windows prior to thought probes (as in www.nature.com/articles/s41... but for individuals, not a group)
4/ But beyond default network, the large-scale networks most strongly associated with mind-wandering were largely unique in each individual (possibly reflecting different mind-wandering content)
November 22, 2024 at 8:13 PM
4/ But beyond default network, the large-scale networks most strongly associated with mind-wandering were largely unique in each individual (possibly reflecting different mind-wandering content)
3/ We used precision functional mapping to isolate default networks A and B (DN-A and DN-B) and found positive correlations between mind-wandering and DN-A activation within all 3 individuals
November 22, 2024 at 8:12 PM
3/ We used precision functional mapping to isolate default networks A and B (DN-A and DN-B) and found positive correlations between mind-wandering and DN-A activation within all 3 individuals
2/ Three densely sampled individuals each responded to hundreds of thought probes while undergoing “resting state” fMRI (simple visual fixation) and reported mind-wandering episodes >60% of the time
November 22, 2024 at 8:12 PM
2/ Three densely sampled individuals each responded to hundreds of thought probes while undergoing “resting state” fMRI (simple visual fixation) and reported mind-wandering episodes >60% of the time