Neural Network Dynamics Supporting Adaptive Attentional Control in the Context of Nicotine Withdrawal: a Review with Empirical Example
Together, results from the literature and our empirical example underscore the importance of context-dependent connectivity analyses for understanding how affective and environmental demands shape attentional control and for informing precise risk prediction and intervention strategies.
Authors
- Hilary Galloway-Long (ORCID: https://orcid.org/0000-0002-6219-5793)
- Alexandra Roule
- Zvi Shapiro (ORCID: https://orcid.org/0000-0002-6323-3405)
- Tyler Warner (ORCID: https://orcid.org/0000-0002-6460-823X)
- Christina O. Hlutkowsky (ORCID: https://orcid.org/0009-0007-8322-3451)
- Stephen J. Wilson (ORCID: https://orcid.org/0000-0002-6002-2565)
- Xu Yan (ORCID: https://orcid.org/0000-0001-9720-0751)
- Alexander Weigard
- Cynthia Huang-Pollock
Institutions
- Pennsylvania State University (US)
- Emory University (US)
- University of Michigan (US)
- Legacy Good Samaritan Medical Center (US)
Publication Details
- Journal
- Nicotine & Tobacco Research
- Published
- 2026-01-06
- DOI
- https://doi.org/10.1093/ntr/ntaf269
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 0.00