Back

Cocaine use disorder is associated with lower brain state transition energy particularly in higher order and excitatory networks

Bukhari, S. H. U. F.; Brzezinski-Rittner, A.; Singleton, P.; Tozlu, C.; Jamison, K. W.; Concha, L.; Garza-Villareal, E. A.; Liston, C.; Kuceyeski, A.

2025-08-07 neuroscience
10.1101/2025.08.06.668699 bioRxiv
Show abstract

Cocaine use disorder (CUD) detrimentally impacts personal health, social relationships, and economic opportunity. Here, we assess CUD-associated shifts in brain dynamics using Network Control Theory and examine how they align with previously identified changes in neurological systems and behavioral profiles of people with CUD. The SUDMEX CONN dataset consists of multi-modal MRI, cocaine use metrics, behavioral measures, and demographics of individuals with CUD (N=132, 71 CUD). We identified recurring brain activity states and used NCT to calculate the transition energy (TE) between pairs of states. ANCOVAs examined global and regional TE associations with drug use group (CUD vs controls (NC)), years of CUD, and risk-taking behaviors. We identified potential mechanisms driving the differences by correlating CUD-related regional TE effects with neurotransmitter/receptor systems. People with CUD had significantly lower global TE and default mode, dorsal attention and limbic network TE compared to non-user controls, particularly in regions enriched for noradrenaline and mu opioid receptors. Longer duration of CUD was associated with more decreased global TE, top-down TE, default mode, control and ventral attention network TE, and regional TE enriched for excitatory neurotransmitters and receptors. People with CUD needed to expend more global and top-down TE to perform better on a risk-taking task (the Iowa Gambling task), an effect which was not found in NCs. Our analysis of whole-brain activity dynamics provides a link between the effects of upstream glutamatergic excitotoxicity and/or opioid receptor dysfunction, and downstream weakening of inhibitory control that is central to CUD.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
62 papers in training set
Top 0.1%
12.4%
2
Biological Psychiatry
119 papers in training set
Top 0.2%
10.2%
3
Translational Psychiatry
219 papers in training set
Top 1%
6.2%
4
Nature Mental Health
18 papers in training set
Top 0.1%
6.2%
5
The Journal of Neuroscience
928 papers in training set
Top 3%
4.7%
6
Neuropsychopharmacology
134 papers in training set
Top 0.8%
3.9%
7
Nature Communications
4913 papers in training set
Top 41%
3.5%
8
NeuroImage: Clinical
132 papers in training set
Top 1%
3.5%
50% of probability mass above
9
Drug and Alcohol Dependence
37 papers in training set
Top 0.3%
2.7%
10
eLife
5422 papers in training set
Top 32%
2.7%
11
Scientific Reports
3102 papers in training set
Top 46%
2.5%
12
Biological Psychiatry Global Open Science
54 papers in training set
Top 0.4%
2.3%
13
Communications Biology
886 papers in training set
Top 5%
2.0%
14
Neuron
282 papers in training set
Top 5%
2.0%
15
Nature Neuroscience
216 papers in training set
Top 3%
2.0%
16
Nature Human Behaviour
85 papers in training set
Top 2%
2.0%
17
Neuroscience & Biobehavioral Reviews
43 papers in training set
Top 0.3%
1.8%
18
Molecular Psychiatry
242 papers in training set
Top 2%
1.8%
19
Human Brain Mapping
295 papers in training set
Top 3%
1.7%
20
eneuro
389 papers in training set
Top 5%
1.7%
21
Addiction Biology
47 papers in training set
Top 0.5%
1.7%
22
JAMA Psychiatry
13 papers in training set
Top 0.3%
1.7%
23
NeuroImage
813 papers in training set
Top 4%
1.7%
24
Cell Reports
1338 papers in training set
Top 27%
1.3%
25
Science Advances
1098 papers in training set
Top 22%
1.3%
26
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 38%
1.2%
27
Imaging Neuroscience
242 papers in training set
Top 3%
1.1%
28
American Journal of Psychiatry
20 papers in training set
Top 0.5%
0.7%
29
Brain
154 papers in training set
Top 5%
0.7%
30
Psychological Medicine
74 papers in training set
Top 2%
0.7%