4.8 Article

Brain tract structure predicts relapse to stimulant drug use

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.2116703119

Keywords

diffusion; addiction; relapse; accumbens; insula

Funding

  1. NeuroChoice Initiative Big Ideas grant from Stanford's Wu Tsai Neurosciences Institute
  2. National Institute of Health [5P50DA042012-05]
  3. Swiss National Science Foundation [P2BSP1_188172]
  4. Swiss National Science Foundation (SNF) [P2BSP1_188172] Funding Source: Swiss National Science Foundation (SNF)

Ask authors/readers for more resources

Diffusion tractography can predict relapse in patients with stimulant use disorder, and lowered diffusion metrics in the tract from the anterior insula to the NAcc are associated with subsequent relapse.
Diffusion tractography allows identification and measurement of structural tracts in the human brain previously associated with motivated behavior in animal models. Recent findings indicate that the structural properties of a tract connecting the midbrain to nucleus accumbens (NAcc) are associated with a diagnosis of stimulant use disorder (SUD), but not relapse. In this preregistered study, we used diffusion tractography in a sample of patients treated for SUD (n = 60) to determine whether qualities of tracts projecting from medial prefrontal, anterior insular, and amygdalar cortices to NAcc might instead foreshadow relapse. As predicted, reduced diffusion metrics of a tract projecting from the right anterior insula to the NAcc were associated with subsequent relapse to stimulant use, but not with previous diagnosis. These findings highlight a structural target for predicting relapse to stimulant use and further suggest that distinct connections to the NAcc may confer risk for relapse versus diagnosis.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available