{"id":{"repo_id":"utswmed","oai_identifier":"oai:utswmed-ir.tdl.org:2152.5/1230"},"canonical_url":"https://search.dev.ndltd.org/etd/utswmed/oai:utswmed-ir.tdl.org:2152.5/1230","repository":{"repo_id":"utswmed","name":"University of Texas Southwestern Medical Center","base_url":"https://utswmed-ir.tdl.org/server/oai/request"},"display":{"title":"Neural Dysfunction during Decision-Making as a Predictor of Cocaine Relapse","abstract":"Cocaine dependence is a costly disorder characterized by recurrent relapse events. The current investigation used functional magnetic resonance imaging (fMRI) during a decision-making task to predict relapse to drug use in a cocaine-dependent sample. Forty-five treatment-seeking cocaine-dependent subjects, two to four weeks abstinent, and 23 healthy control subjects underwent 3T fMRI. The Response Reversal Task was administered in the scanner to elicit decision-making processes. Individuals were followed for up to six months post-discharge from inpatient substance use treatment to determine time-to-relapse. Seventy-eight percent of the patient sample relapsed an average of 35 days after treatment; ten individuals did not relapse during the follow-up period. No group differences were found between healthy control and cocaine-addicted groups in activation patterns or behavioral measures of decision-making performance. Mean percent BOLD signal change in the patient group was used to identify regions of interest (ROIs) for discriminant analyses to classify patients by short- and long-term relapse. The fMRI activation patterns in the precuneus, bilateral orbitofrontal cortex, left insula, right dorsolateral prefrontal cortex, paracingulate, left hippocampus, and bilateral amygdala correctly classified 71% of patients by short-term and long-term relapse. This investigation suggests that neuroimaging may be a valid predictor of cocaine relapse, which could allow for better individual tailoring of treatment options for improving long-term abstinence.","abstract_html":"Cocaine dependence is a costly disorder characterized by recurrent relapse events. The current investigation used functional magnetic resonance imaging (fMRI) during a decision-making task to predict relapse to drug use in a cocaine-dependent sample. Forty-five treatment-seeking cocaine-dependent subjects, two to four weeks abstinent, and 23 healthy control subjects underwent 3T fMRI. The Response Reversal Task was administered in the scanner to elicit decision-making processes. Individuals were followed for up to six months post-discharge from inpatient substance use treatment to determine time-to-relapse. Seventy-eight percent of the patient sample relapsed an average of 35 days after treatment; ten individuals did not relapse during the follow-up period. No group differences were found between healthy control and cocaine-addicted groups in activation patterns or behavioral measures of decision-making performance. Mean percent BOLD signal change in the patient group was used to identify regions of interest (ROIs) for discriminant analyses to classify patients by short- and long-term relapse. The fMRI activation patterns in the precuneus, bilateral orbitofrontal cortex, left insula, right dorsolateral prefrontal cortex, paracingulate, left hippocampus, and bilateral amygdala correctly classified 71% of patients by short-term and long-term relapse. This investigation suggests that neuroimaging may be a valid predictor of cocaine relapse, which could allow for better individual tailoring of treatment options for improving long-term abstinence.","abstract_has_math":false,"creators":["Braud, Jacquelyn Ashley"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Adinoff, Bryon H."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-01-17T16:03:31Z","date_published":"2013-01-17T16:03:31Z","updated_at":"2026-07-24T05:52:15Z","subjects":["Cocaine-Related Disorders","Magnetic Resonance Imaging","Drug Users"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["841765734"],"render_values":[{"text":"841765734","href":null,"code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/2152.5/1230","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Adinoff, Bryon H."]},{"key":"dc:creator","label":"Author","values":["Braud, Jacquelyn Ashley"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2013-01-17T16:03:31Z","2013-01-17"]},{"key":"dc:type","label":"Dc Type","values":["Thesis","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Cocaine-Related Disorders","Magnetic Resonance Imaging","Drug Users"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2152.5/1230","841765734"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Cocaine dependence is a costly disorder characterized by recurrent relapse events. The current investigation used functional magnetic resonance imaging (fMRI) during a decision-making task to predict relapse to drug use in a cocaine-dependent sample. Forty-five treatment-seeking cocaine-dependent subjects, two to four weeks abstinent, and 23 healthy control subjects underwent 3T fMRI. The Response Reversal Task was administered in the scanner to elicit decision-making processes. Individuals were followed for up to six months post-discharge from inpatient substance use treatment to determine time-to-relapse. Seventy-eight percent of the patient sample relapsed an average of 35 days after treatment; ten individuals did not relapse during the follow-up period. No group differences were found between healthy control and cocaine-addicted groups in activation patterns or behavioral measures of decision-making performance. Mean percent BOLD signal change in the patient group was used to identify regions of interest (ROIs) for discriminant analyses to classify patients by short- and long-term relapse. The fMRI activation patterns in the precuneus, bilateral orbitofrontal cortex, left insula, right dorsolateral prefrontal cortex, paracingulate, left hippocampus, and bilateral amygdala correctly classified 71% of patients by short-term and long-term relapse. This investigation suggests that neuroimaging may be a valid predictor of cocaine relapse, which could allow for better individual tailoring of treatment options for improving long-term abstinence."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Neural Dysfunction during Decision-Making as a Predictor of Cocaine Relapse"]}]}],"canonical_facts":{"dc:contributor":["Adinoff, Bryon H."],"dc:creator":["Braud, Jacquelyn Ashley"],"dc:date":["2013-01-17T16:03:31Z","2013-01-17"],"dc:description":["Cocaine dependence is a costly disorder characterized by recurrent relapse events. The current investigation used functional magnetic resonance imaging (fMRI) during a decision-making task to predict relapse to drug use in a cocaine-dependent sample. Forty-five treatment-seeking cocaine-dependent subjects, two to four weeks abstinent, and 23 healthy control subjects underwent 3T fMRI. The Response Reversal Task was administered in the scanner to elicit decision-making processes. Individuals were followed for up to six months post-discharge from inpatient substance use treatment to determine time-to-relapse. Seventy-eight percent of the patient sample relapsed an average of 35 days after treatment; ten individuals did not relapse during the follow-up period. No group differences were found between healthy control and cocaine-addicted groups in activation patterns or behavioral measures of decision-making performance. Mean percent BOLD signal change in the patient group was used to identify regions of interest (ROIs) for discriminant analyses to classify patients by short- and long-term relapse. The fMRI activation patterns in the precuneus, bilateral orbitofrontal cortex, left insula, right dorsolateral prefrontal cortex, paracingulate, left hippocampus, and bilateral amygdala correctly classified 71% of patients by short-term and long-term relapse. This investigation suggests that neuroimaging may be a valid predictor of cocaine relapse, which could allow for better individual tailoring of treatment options for improving long-term abstinence."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2152.5/1230","841765734"],"dc:language":["en"],"dc:subject":["Cocaine-Related Disorders","Magnetic Resonance Imaging","Drug Users"],"dc:title":["Neural Dysfunction during Decision-Making as a Predictor of Cocaine Relapse"],"dc:type":["Thesis","Text"]},"updated_at":"2026-07-24T05:52:15Z"}