A dual-circuit causal model of depression in humans
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| Titel: | A dual-circuit causal model of depression in humans |
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| Autoren: | Summer B. Frandsen, Crystal M. Glover, Robin F. H. Cash, Daniel M. Blumberger, Ki Sueng Choi, Darin D. Dougherty, Jonathan Downar, Paul B. Fitzgerald, Mark S. George, Andreas Horn, Friederike Grospietsch, Kevin A. Johnson, Andrea A. Kühn, Helen S. Mayberg, Álvaro Pascual‐Leone, Patricio Riva‐Posse, Rob P.W. Rouhl, Frédéric Schaper, Stephan F. Taylor, Yasin Temel, Fidel Vila‐Rodriguez, Andrew Zalesky, Jordan Grafman, Shan H. Siddiqi |
| Verlagsinformationen: | Springer Science and Business Media LLC, 2024. |
| Publikationsjahr: | 2024 |
| Schlagwörter: | Neuroimaging Data Analysis, Economics, Cognitive Neuroscience, Social Sciences, Experimental and Cognitive Psychology, Analysis of Brain Functional Connectivity Networks, Causal model, Symptom Networks, FOS: Mathematics, Network Analysis of Psychopathology and Mental Disorders, Psychology, Keynesian economics, Depression (economics), Dual (grammatical number), Statistics, Psychometric Models, Life Sciences, Linguistics, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, Philosophy, Effects of Working Memory Training on Cognitive Abilities, Brain Network Development, Twin Studies, FOS: Languages and literature, Mathematics, Neuroscience |
| Beschreibung: | Therapeutic brain stimulation targets are typically designed to treat specific psychiatric or neurological symptoms.1–4 This approach presents a dilemma when treating patients with comorbidities, atypical symptom profiles, or overlapping symptoms. Identifying targets that modulate groups of behavioral or cognitive symptoms across diagnoses may provide alternative treatment options and outcomes. Here, we use causal brain mapping and clustering methods to identify two distinct brain networks, based on common patterns of connectivity to lesions that selectively modify behaviors and symptoms. Due to the behavioral items in each cluster, we hypothesize that these networks are related to positive and negative affect, respectively. Across ten different datasets of patients receiving transcranial magnetic stimulation (TMS) or deep brain stimulation (DBS),1,5,6 stimulation site connectivity to each of our two brain networks independently predicted improvement in depressive symptoms. Thus, we defined two networks which are independently and causally involved in depression symptoms. |
| Publikationsart: | Article Other literature type |
| DOI: | 10.21203/rs.3.rs-3754811/v1 |
| DOI: | 10.60692/fzwdk-wfq05 |
| DOI: | 10.60692/tsx91-6rn58 |
| Rights: | CC BY |
| Dokumentencode: | edsair.doi.dedup.....e03e7c00dce4cd9efc35ee4593d3f18c |
| Datenbank: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | Therapeutic brain stimulation targets are typically designed to treat specific psychiatric or neurological symptoms.1–4 This approach presents a dilemma when treating patients with comorbidities, atypical symptom profiles, or overlapping symptoms. Identifying targets that modulate groups of behavioral or cognitive symptoms across diagnoses may provide alternative treatment options and outcomes. Here, we use causal brain mapping and clustering methods to identify two distinct brain networks, based on common patterns of connectivity to lesions that selectively modify behaviors and symptoms. Due to the behavioral items in each cluster, we hypothesize that these networks are related to positive and negative affect, respectively. Across ten different datasets of patients receiving transcranial magnetic stimulation (TMS) or deep brain stimulation (DBS),1,5,6 stimulation site connectivity to each of our two brain networks independently predicted improvement in depressive symptoms. Thus, we defined two networks which are independently and causally involved in depression symptoms. |
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| DOI: | 10.21203/rs.3.rs-3754811/v1 |