TY - JOUR
T1 - Parameter Space and Potential for Biomarker Development in 25 Years of fMRI Drug Cue Reactivity
T2 - A Systematic Review
AU - Sangchooli, Arshiya
AU - Zare-Bidoky, Mehran
AU - Fathi Jouzdani, Ali
AU - Schacht, Joseph
AU - Bjork, James M.
AU - Claus, Eric D.
AU - Prisciandaro, James J.
AU - Wilson, Stephen J.
AU - Wüstenberg, Torsten
AU - Potvin, Stéphane
AU - Ahmadi, Pooria
AU - Bach, Patrick
AU - Baldacchino, Alex
AU - Beck, Anne
AU - Brady, Kathleen T.
AU - Brewer, Judson A.
AU - Childress, Anna Rose
AU - Courtney, Kelly E.
AU - Ebrahimi, Mohsen
AU - Filbey, Francesca M.
AU - Garavan, Hugh
AU - Ghahremani, Dara G.
AU - Goldstein, Rita Z.
AU - Goudriaan, Anneke E.
AU - Grodin, Erica N.
AU - Hanlon, Colleen A.
AU - Haugg, Amelie
AU - Heilig, Markus
AU - Heinz, Andreas
AU - Holczer, Adrienn
AU - van Holst, Ruth J.
AU - Joseph, Jane E.
AU - Juliano, Anthony C.
AU - Kaufman, Marc J.
AU - Kiefer, Falk
AU - Khojasteh Zonoozi, Arash
AU - Kuplicki, Rayus T.
AU - Leyton, Marco
AU - London, Edythe D.
AU - Mackey, Scott
AU - McClernon, F. Joseph
AU - Mellick, William H.
AU - Morley, Kirsten
AU - Noori, Hamid R.
AU - Oghabian, Mohammad Ali
AU - Oliver, Jason A.
AU - Owens, Max
AU - Paulus, Martin P.
AU - Perini, Irene
AU - Rafei, Parnian
AU - Ray, Lara A.
AU - Sinha, Rajita
AU - Smolka, Michael N.
AU - Soleimani, Ghazaleh
AU - Spanagel, Rainer
AU - Steele, Vaughn R.
AU - Tapert, Susan F.
AU - Vollstädt-Klein, Sabine
AU - Wetherill, Reagan R.
AU - Witkiewitz, Katie
AU - Yuan, Kai
AU - Zhang, Xiaochu
AU - Verdejo-Garcia, Antonio
AU - Potenza, Marc N.
AU - Janes, Amy C.
AU - Kober, Hedy
AU - Zilverstand, Anna
AU - Ekhtiari, Hamed
N1 - Publisher Copyright: © 2024 American Medical Association. All rights reserved.
PY - 2024/4/3
Y1 - 2024/4/3
N2 - Importance: In the last 25 years, functional magnetic resonance imaging drug cue reactivity (FDCR) studies have characterized some core aspects in the neurobiology of drug addiction. However, no FDCR-derived biomarkers have been approved for treatment development or clinical adoption. Traversing this translational gap requires a systematic assessment of the FDCR literature evidence, its heterogeneity, and an evaluation of possible clinical uses of FDCR-derived biomarkers. Objective: To summarize the state of the field of FDCR, assess their potential for biomarker development, and outline a clear process for biomarker qualification to guide future research and validation efforts. Evidence Review: The PubMed and Medline databases were searched for every original FDCR investigation published from database inception until December 2022. Collected data covered study design, participant characteristics, FDCR task design, and whether each study provided evidence that might potentially help develop susceptibility, diagnostic, response, prognostic, predictive, or severity biomarkers for 1 or more addictive disorders. Findings: There were 415 FDCR studies published between 1998 and 2022. Most focused on nicotine (122 [29.6%]), alcohol (120 [29.2%]), or cocaine (46 [11.1%]), and most used visual cues (354 [85.3%]). Together, these studies recruited 19311 participants, including 13812 individuals with past or current substance use disorders. Most studies could potentially support biomarker development, including diagnostic (143 [32.7%]), treatment response (141 [32.3%]), severity (84 [19.2%]), prognostic (30 [6.9%]), predictive (25 [5.7%]), monitoring (12 [2.7%]), and susceptibility (2 [0.5%]) biomarkers. A total of 155 interventional studies used FDCR, mostly to investigate pharmacological (67 [43.2%]) or cognitive/behavioral (51 [32.9%]) interventions; 141 studies used FDCR as a response measure, of which 125 (88.7%) reported significant interventional FDCR alterations; and 25 studies used FDCR as an intervention outcome predictor, with 24 (96%) finding significant associations between FDCR markers and treatment outcomes. Conclusions and Relevance: Based on this systematic review and the proposed biomarker development framework, there is a pathway for the development and regulatory qualification of FDCR-based biomarkers of addiction and recovery. Further validation could support the use of FDCR-derived measures, potentially accelerating treatment development and improving diagnostic, prognostic, and predictive clinical judgments..
AB - Importance: In the last 25 years, functional magnetic resonance imaging drug cue reactivity (FDCR) studies have characterized some core aspects in the neurobiology of drug addiction. However, no FDCR-derived biomarkers have been approved for treatment development or clinical adoption. Traversing this translational gap requires a systematic assessment of the FDCR literature evidence, its heterogeneity, and an evaluation of possible clinical uses of FDCR-derived biomarkers. Objective: To summarize the state of the field of FDCR, assess their potential for biomarker development, and outline a clear process for biomarker qualification to guide future research and validation efforts. Evidence Review: The PubMed and Medline databases were searched for every original FDCR investigation published from database inception until December 2022. Collected data covered study design, participant characteristics, FDCR task design, and whether each study provided evidence that might potentially help develop susceptibility, diagnostic, response, prognostic, predictive, or severity biomarkers for 1 or more addictive disorders. Findings: There were 415 FDCR studies published between 1998 and 2022. Most focused on nicotine (122 [29.6%]), alcohol (120 [29.2%]), or cocaine (46 [11.1%]), and most used visual cues (354 [85.3%]). Together, these studies recruited 19311 participants, including 13812 individuals with past or current substance use disorders. Most studies could potentially support biomarker development, including diagnostic (143 [32.7%]), treatment response (141 [32.3%]), severity (84 [19.2%]), prognostic (30 [6.9%]), predictive (25 [5.7%]), monitoring (12 [2.7%]), and susceptibility (2 [0.5%]) biomarkers. A total of 155 interventional studies used FDCR, mostly to investigate pharmacological (67 [43.2%]) or cognitive/behavioral (51 [32.9%]) interventions; 141 studies used FDCR as a response measure, of which 125 (88.7%) reported significant interventional FDCR alterations; and 25 studies used FDCR as an intervention outcome predictor, with 24 (96%) finding significant associations between FDCR markers and treatment outcomes. Conclusions and Relevance: Based on this systematic review and the proposed biomarker development framework, there is a pathway for the development and regulatory qualification of FDCR-based biomarkers of addiction and recovery. Further validation could support the use of FDCR-derived measures, potentially accelerating treatment development and improving diagnostic, prognostic, and predictive clinical judgments..
UR - http://www.scopus.com/inward/record.url?scp=85184891004&partnerID=8YFLogxK
U2 - 10.1001/jamapsychiatry.2023.5483
DO - 10.1001/jamapsychiatry.2023.5483
M3 - Review article
C2 - 38324323
SN - 2168-622X
VL - 81
SP - 414
EP - 425
JO - JAMA Psychiatry
JF - JAMA Psychiatry
IS - 4
M1 - 5483
ER -