Back

Beyond Neural Noise: Critical Dynamics Predict Slower Reaction Times in Adults With and Without ADHD

DallaVecchia, A.; Zink, N.; O'Connell, S. R.; Betts, S. S.; Noah, S.; Hillberg, A.; Oliva, M. T.; Reid, R. C.; Cohen, M. S.; Simpson, G. V.; Karalunas, S. L.; Calhoun, V. D.; Lenartowicz, A.

2026-03-17 neuroscience
10.64898/2026.03.13.711705 bioRxiv
Show abstract

Historically, neural variability observed during task was interpreted as "noise," assumed to obscure meaningful signal and thus something to be minimized both analytically by researchers and functionally by the brain. Changes to this signal-to-noise ratio have been proposed as a possible neural mechanism behind the increased reaction-time variability (RTV) in attention deficit hyperactivity disorder (ADHD). However, not all variability is the same - in some cases, variability can have some underlying "statistical structure" that can be beneficial to information processing. The challenge lies in distinguishing meaningful variability from random noise. The edge-of-synchrony critical point, which describes a system poised between synchronous and asynchronous regimes, could be a good theoretical framework to study these different types of neural variability. In this study, we investigate whether changes in criticality and oscillatory dynamics preceded slower behavioral responses during a bimodal continuous performance task in ADHD. We find evidence that, prior to slower responses, neural dynamics shift toward criticality in both ADHD and control groups, suggesting that increase variability in ADHD and during attention lapses are related to structured variability and not necessarily random noise. Notably, these findings run counter predictions based on the proposed model and previous literature on neural noise in this population, challenging predictions of edge-of-synchrony criticality as a unifying account of neural variability and behavioral performance. Furthermore, this effect did not emerge at the between-subject level, underscoring the limitations of relying on between-subject correlations to infer neural mechanisms. Impact StatementOur findings add new perspective to the hypothesis that links neural variability to reaction time variability in adults with and without ADHD. We found that neural dynamics shift towards criticality prior to slow reaction times in adults with and without ADHD, but in ADHD, dynamics lie closer to criticality regardless of response type, suggesting a different "attractor" state.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
eneuro
389 papers in training set
Top 0.5%
9.9%
2
Journal of Cognitive Neuroscience
119 papers in training set
Top 0.1%
9.9%
3
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
62 papers in training set
Top 0.2%
6.2%
4
Biological Psychology
18 papers in training set
Top 0.1%
4.8%
5
European Journal of Neuroscience
168 papers in training set
Top 0.1%
4.8%
6
Cortex
102 papers in training set
Top 0.1%
4.8%
7
PLOS Computational Biology
1633 papers in training set
Top 9%
3.9%
8
Scientific Reports
3102 papers in training set
Top 36%
3.6%
9
Neuropsychologia
77 papers in training set
Top 0.3%
3.5%
50% of probability mass above
10
Psychophysiology
64 papers in training set
Top 0.1%
3.2%
11
The Journal of Neuroscience
928 papers in training set
Top 4%
3.0%
12
Cognitive, Affective, & Behavioral Neuroscience
25 papers in training set
Top 0.1%
2.4%
13
PLOS ONE
4510 papers in training set
Top 49%
2.0%
14
NeuroImage
813 papers in training set
Top 4%
1.7%
15
Cerebral Cortex
357 papers in training set
Top 0.9%
1.7%
16
Developmental Cognitive Neuroscience
81 papers in training set
Top 0.4%
1.7%
17
Imaging Neuroscience
242 papers in training set
Top 2%
1.5%
18
Frontiers in Behavioral Neuroscience
46 papers in training set
Top 0.5%
1.5%
19
Network Neuroscience
116 papers in training set
Top 0.8%
1.2%
20
Neuroscience
88 papers in training set
Top 2%
1.2%
21
Human Brain Mapping
295 papers in training set
Top 4%
0.9%
22
Cerebral Cortex Communications
36 papers in training set
Top 0.2%
0.9%
23
Journal of Neurophysiology
263 papers in training set
Top 0.7%
0.9%
24
Brain Sciences
52 papers in training set
Top 2%
0.9%
25
Computational Psychiatry
12 papers in training set
Top 0.1%
0.9%
26
eLife
5422 papers in training set
Top 54%
0.9%
27
NeuroImage: Clinical
132 papers in training set
Top 4%
0.8%
28
Clinical Neurophysiology
50 papers in training set
Top 0.6%
0.7%
29
Frontiers in Human Neuroscience
67 papers in training set
Top 3%
0.7%
30
Human Movement Science
13 papers in training set
Top 0.3%
0.7%