{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Pan N"],"pubmed_abstract":["<h4>Background</h4>Psychostimulants and nonstimulants have partially overlapping pharmacological targets on attention-deficit/hyperactivity disorder (ADHD), but whether their neuroimaging underpinnings differ is elusive. We aimed to identify overlapping and medication-specific brain functional mechanisms of psychostimulants and nonstimulants on ADHD.<h4>Methods</h4>After a systematic literature search and database construction, the imputed maps of separate and pooled neuropharmacological mechanisms were meta-analyzed by Seed-based <i>d</i> Mapping toolbox, followed by large-scale network analysis to uncover potential coactivation patterns and meta-regression analysis to examine the modulatory effects of age and sex.<h4>Results</h4>Twenty-eight whole-brain task-based functional MRI studies "],"journal":["Psychological medicine"],"pagination":["1-15"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11769909"],"repository":["biostudies-literature"],"pubmed_title":["Overlapping and differential neuropharmacological mechanisms of stimulants and nonstimulants for attention-deficit/hyperactivity disorder: a comparative neuroimaging analysis."],"pmcid":["PMC11769909"],"pubmed_authors":["Liu Y","Hu S","Shekara A","Cao H","Gong Q","Chen Y","Ma T","Zhang S","Pan N"],"additional_accession":[]},"is_claimable":false,"name":"Overlapping and differential neuropharmacological mechanisms of stimulants and nonstimulants for attention-deficit/hyperactivity disorder: a comparative neuroimaging analysis.","description":"<h4>Background</h4>Psychostimulants and nonstimulants have partially overlapping pharmacological targets on attention-deficit/hyperactivity disorder (ADHD), but whether their neuroimaging underpinnings differ is elusive. We aimed to identify overlapping and medication-specific brain functional mechanisms of psychostimulants and nonstimulants on ADHD.<h4>Methods</h4>After a systematic literature search and database construction, the imputed maps of separate and pooled neuropharmacological mechanisms were meta-analyzed by Seed-based <i>d</i> Mapping toolbox, followed by large-scale network analysis to uncover potential coactivation patterns and meta-regression analysis to examine the modulatory effects of age and sex.<h4>Results</h4>Twenty-eight whole-brain task-based functional MRI studies ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jan","modification":"2025-04-03T23:26:52.595Z","creation":"2025-04-03T23:26:52.595Z"},"accession":"S-EPMC11769909","cross_references":{"pubmed":["39806554"],"doi":["10.1017/S003329172400285X"]}}