Back

Two-brain states during collaborative drawing reflect leader-follower dynamics in intergenerational dyads

Naudszus, L. A.; Moffat, R.; Cross, E. S.

2026-02-03 neuroscience
10.64898/2026.01.29.702550 bioRxiv
Show abstract

Engaging with others in social scenarios can result in the alignment of brain activity between individuals. Dyadic (i.e., hyperscanning) studies typically estimate average region-specific levels of connectivity between brains (as opposed to within brains) across a given task to quantify brain activity alignment. This approach assumes symmetric interactions with equal and mutual adaptation from both dyad members, excluding asymmetric (e.g., leader-follower) contexts. Such approaches also obscure spatial dynamics (i.e., relationship between different brain regions) and temporal dynamics during unfolding interactions. To overcome these challenges, we took a data-driven approach to quantify within- and between-brain connectivity during collaborative drawing among dyads. Specifically, we used sliding windows and Riemannian-geometry-based k-means clustering to identify recurrent two-brain states while 61 dyads drew alone and together at 6 weekly timepoints. Thirty dyads comprised young adults only (same generation) and 31 dyads comprised one older and one younger individual (intergenerational). We identified 7 two-brain states, 3 of which were specific to real (not pseudo) dyads. One two-brain state showed convincing evidence of sensitivity to collaboration context: During collaborative drawing, low-to-medium between-brain connectivity and prominent within-brain connectivity in bilateral IFG in a single dyad member arose for longer periods in intergenerational than same generation dyads. No two-brain state showed evidence of longitudinal changes across sessions. These findings inform recent accounts of neural dynamics that emphasise the complementary roles of within-brain and between-brain connectivity. Furthermore, they suggest that state-based analyses can inform neural dynamics in a way not captured by traditional analysis techniques. HighlightsO_LITwo-brain states can characterise within- and between-brain connectivity. C_LIO_LISeven two-brain states identified using data-driven approach. C_LIO_LIIntergenerational collaborative drawing linked to asymmetric connectivity. C_LI

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Network Neuroscience
116 papers in training set
Top 0.1%
14.8%
2
Imaging Neuroscience
242 papers in training set
Top 0.2%
10.1%
3
NeuroImage
813 papers in training set
Top 1%
10.1%
4
eneuro
389 papers in training set
Top 0.6%
8.5%
5
Frontiers in Human Neuroscience
67 papers in training set
Top 0.2%
4.9%
6
PLOS Computational Biology
1633 papers in training set
Top 7%
4.9%
50% of probability mass above
7
Scientific Reports
3102 papers in training set
Top 27%
4.3%
8
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 17%
4.0%
9
eLife
5422 papers in training set
Top 25%
3.6%
10
Cerebral Cortex
357 papers in training set
Top 0.3%
3.6%
11
Philosophical Transactions of the Royal Society B: Biological Sciences
53 papers in training set
Top 0.2%
2.6%
12
Human Brain Mapping
295 papers in training set
Top 2%
2.4%
13
Communications Biology
886 papers in training set
Top 8%
1.7%
14
Journal of Cognitive Neuroscience
119 papers in training set
Top 1.0%
1.5%
15
Frontiers in Behavioral Neuroscience
46 papers in training set
Top 0.7%
1.0%
16
iScience
1063 papers in training set
Top 26%
0.9%
17
PLOS ONE
4510 papers in training set
Top 66%
0.8%
18
Neuroscience of Consciousness
12 papers in training set
Top 0.3%
0.8%
19
Frontiers in Neuroscience
223 papers in training set
Top 7%
0.8%
20
Brain Structure and Function
83 papers in training set
Top 0.5%
0.8%
21
Neuropsychologia
77 papers in training set
Top 1%
0.8%
22
Nature Communications
4913 papers in training set
Top 64%
0.7%
23
Journal of Neural Engineering
197 papers in training set
Top 2%
0.6%
24
Frontiers in Psychiatry
83 papers in training set
Top 4%
0.6%
25
Journal of Neuroscience Research
25 papers in training set
Top 0.9%
0.5%
26
Developmental Cognitive Neuroscience
81 papers in training set
Top 0.7%
0.5%
27
Cortex
102 papers in training set
Top 0.8%
0.5%
28
Journal of Neuroscience Methods
106 papers in training set
Top 2%
0.5%