M17. PREDICTION OF NEUROLEPTIC AND ANTIDEPRESSANT TREATMENT RESPONSES VIA FMRI OF THE EXTENDED REWARD SYSTEM
Abstract Background Neuroimaging techniques have been developed as important tools to assess brain dysfunctions that underlie mental disorders. In particular, modern functional magnetic resonance imaging (fMRI) holds the promise to provide neurofunctional biomarkers for improved differential diagnos...
Gespeichert in:
Veröffentlicht in: | Schizophrenia bulletin 2020-05, Vol.46 (Supplement_1), p.S139-S140 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | S140 |
---|---|
container_issue | Supplement_1 |
container_start_page | S139 |
container_title | Schizophrenia bulletin |
container_volume | 46 |
creator | Gruber, Oliver Rauer, Lisa Trost, Sarah Lückel, Maximilian |
description | Abstract
Background
Neuroimaging techniques have been developed as important tools to assess brain dysfunctions that underlie mental disorders. In particular, modern functional magnetic resonance imaging (fMRI) holds the promise to provide neurofunctional biomarkers for improved differential diagnosis and optimized treatment of schizophrenic and affective disorders.
Methods
Neurofunctional connectivity MRI of the extended human reward system (Makris et al., 2008) was conducted in a large transnosological cohort of patients suffering from schizophrenia, bipolar disorder or major depressive disorder. Responses to neuroleptic treatments in patients with schizophrenic or bipolar disorder were determined retrospectively, while treatment responses to different antidepressants were directly assessed in a prospective naturalistic clinical study.
Results
Responders to neuroleptic treatment with aripiprazole showed significantly higher reward-related activation in a larger set of brain regions (including ventral striatum, hippocampus, amygdala, pregenual ACC and anteroventral PFC) in comparison to non-responders to aripiprazole. This finding proved to be specific for this neuroleptic treatment when compared to treatments with other atypical or typical neuroleptics. Pre-treatment reward-related activation of the nucleus accumbens, the ventral tegmental area and the amygdala showed a substance-class specific correlation with subsequent antidepressant treatment responses to SSRIs and/or agomelatine.
Discussion
These findings of ongoing studies exemplify the high potential of neuroimaging techniques to foster the development of precision medicine in psychiatry. The identification of neuroimaging markers associated with specific treatment responses may allow the development of “tailored”, i.e. stratified treatment approaches. |
doi_str_mv | 10.1093/schbul/sbaa030.329 |
format | Article |
fullrecord | <record><control><sourceid>oup_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7233832</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/schbul/sbaa030.329</oup_id><sourcerecordid>10.1093/schbul/sbaa030.329</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1809-68bdb7c138edff695baf3a9c971a164dbf196247bcde21d36f4f45a78362b7ce3</originalsourceid><addsrcrecordid>eNqNkF1LwzAUhoMoOKd_wKv8gc6kaZP2Riht5gprO9rMj6uQ9MNNunW0TvDfm9EheOfF4RzOeZ-XwwvAPUYzjHzyMJQbfWwfBq0UImhGbP8CTDBzXAszhC_BBLketRjFzjW4GYYPhLDjU3sC2gSzGVzlPIpDEWcpzOYw5es8W_KViEMYpJEpEUfcaIrCjFDkPBAJN5PZrLK04AV8jgM4T_L4hIsFh_xV8DTikZG8BHkEi7dC8OQWXDWqHeq7c5-C9ZyLcGEts6c4DJZWiT3kW9TTlWYlJl5dNQ31Xa0aovzSZ1hh6lS6weZ3h-myqm1cEdo4jeMq5hFqG64mU_A4-h6OeldXZb3_7FUrD_12p_pv2amt_HvZbzfyvfuSzCbEI7YxsEeDsu-Goa-bXxYjeQpcjoHLc-DSBG4ga4S64-E_-h_X9H9Z</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>M17. PREDICTION OF NEUROLEPTIC AND ANTIDEPRESSANT TREATMENT RESPONSES VIA FMRI OF THE EXTENDED REWARD SYSTEM</title><source>Oxford University Press Journals All Titles (1996-Current)</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Gruber, Oliver ; Rauer, Lisa ; Trost, Sarah ; Lückel, Maximilian</creator><creatorcontrib>Gruber, Oliver ; Rauer, Lisa ; Trost, Sarah ; Lückel, Maximilian</creatorcontrib><description>Abstract
Background
Neuroimaging techniques have been developed as important tools to assess brain dysfunctions that underlie mental disorders. In particular, modern functional magnetic resonance imaging (fMRI) holds the promise to provide neurofunctional biomarkers for improved differential diagnosis and optimized treatment of schizophrenic and affective disorders.
Methods
Neurofunctional connectivity MRI of the extended human reward system (Makris et al., 2008) was conducted in a large transnosological cohort of patients suffering from schizophrenia, bipolar disorder or major depressive disorder. Responses to neuroleptic treatments in patients with schizophrenic or bipolar disorder were determined retrospectively, while treatment responses to different antidepressants were directly assessed in a prospective naturalistic clinical study.
Results
Responders to neuroleptic treatment with aripiprazole showed significantly higher reward-related activation in a larger set of brain regions (including ventral striatum, hippocampus, amygdala, pregenual ACC and anteroventral PFC) in comparison to non-responders to aripiprazole. This finding proved to be specific for this neuroleptic treatment when compared to treatments with other atypical or typical neuroleptics. Pre-treatment reward-related activation of the nucleus accumbens, the ventral tegmental area and the amygdala showed a substance-class specific correlation with subsequent antidepressant treatment responses to SSRIs and/or agomelatine.
Discussion
These findings of ongoing studies exemplify the high potential of neuroimaging techniques to foster the development of precision medicine in psychiatry. The identification of neuroimaging markers associated with specific treatment responses may allow the development of “tailored”, i.e. stratified treatment approaches.</description><identifier>ISSN: 0586-7614</identifier><identifier>EISSN: 1745-1701</identifier><identifier>DOI: 10.1093/schbul/sbaa030.329</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Poster Session II</subject><ispartof>Schizophrenia bulletin, 2020-05, Vol.46 (Supplement_1), p.S139-S140</ispartof><rights>The Author(s) 2020. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233832/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233832/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,1583,27922,27923,53789,53791</link.rule.ids></links><search><creatorcontrib>Gruber, Oliver</creatorcontrib><creatorcontrib>Rauer, Lisa</creatorcontrib><creatorcontrib>Trost, Sarah</creatorcontrib><creatorcontrib>Lückel, Maximilian</creatorcontrib><title>M17. PREDICTION OF NEUROLEPTIC AND ANTIDEPRESSANT TREATMENT RESPONSES VIA FMRI OF THE EXTENDED REWARD SYSTEM</title><title>Schizophrenia bulletin</title><description>Abstract
Background
Neuroimaging techniques have been developed as important tools to assess brain dysfunctions that underlie mental disorders. In particular, modern functional magnetic resonance imaging (fMRI) holds the promise to provide neurofunctional biomarkers for improved differential diagnosis and optimized treatment of schizophrenic and affective disorders.
Methods
Neurofunctional connectivity MRI of the extended human reward system (Makris et al., 2008) was conducted in a large transnosological cohort of patients suffering from schizophrenia, bipolar disorder or major depressive disorder. Responses to neuroleptic treatments in patients with schizophrenic or bipolar disorder were determined retrospectively, while treatment responses to different antidepressants were directly assessed in a prospective naturalistic clinical study.
Results
Responders to neuroleptic treatment with aripiprazole showed significantly higher reward-related activation in a larger set of brain regions (including ventral striatum, hippocampus, amygdala, pregenual ACC and anteroventral PFC) in comparison to non-responders to aripiprazole. This finding proved to be specific for this neuroleptic treatment when compared to treatments with other atypical or typical neuroleptics. Pre-treatment reward-related activation of the nucleus accumbens, the ventral tegmental area and the amygdala showed a substance-class specific correlation with subsequent antidepressant treatment responses to SSRIs and/or agomelatine.
Discussion
These findings of ongoing studies exemplify the high potential of neuroimaging techniques to foster the development of precision medicine in psychiatry. The identification of neuroimaging markers associated with specific treatment responses may allow the development of “tailored”, i.e. stratified treatment approaches.</description><subject>Poster Session II</subject><issn>0586-7614</issn><issn>1745-1701</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><recordid>eNqNkF1LwzAUhoMoOKd_wKv8gc6kaZP2Riht5gprO9rMj6uQ9MNNunW0TvDfm9EheOfF4RzOeZ-XwwvAPUYzjHzyMJQbfWwfBq0UImhGbP8CTDBzXAszhC_BBLketRjFzjW4GYYPhLDjU3sC2gSzGVzlPIpDEWcpzOYw5es8W_KViEMYpJEpEUfcaIrCjFDkPBAJN5PZrLK04AV8jgM4T_L4hIsFh_xV8DTikZG8BHkEi7dC8OQWXDWqHeq7c5-C9ZyLcGEts6c4DJZWiT3kW9TTlWYlJl5dNQ31Xa0aovzSZ1hh6lS6weZ3h-myqm1cEdo4jeMq5hFqG64mU_A4-h6OeldXZb3_7FUrD_12p_pv2amt_HvZbzfyvfuSzCbEI7YxsEeDsu-Goa-bXxYjeQpcjoHLc-DSBG4ga4S64-E_-h_X9H9Z</recordid><startdate>20200518</startdate><enddate>20200518</enddate><creator>Gruber, Oliver</creator><creator>Rauer, Lisa</creator><creator>Trost, Sarah</creator><creator>Lückel, Maximilian</creator><general>Oxford University Press</general><scope>TOX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope></search><sort><creationdate>20200518</creationdate><title>M17. PREDICTION OF NEUROLEPTIC AND ANTIDEPRESSANT TREATMENT RESPONSES VIA FMRI OF THE EXTENDED REWARD SYSTEM</title><author>Gruber, Oliver ; Rauer, Lisa ; Trost, Sarah ; Lückel, Maximilian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1809-68bdb7c138edff695baf3a9c971a164dbf196247bcde21d36f4f45a78362b7ce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Poster Session II</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gruber, Oliver</creatorcontrib><creatorcontrib>Rauer, Lisa</creatorcontrib><creatorcontrib>Trost, Sarah</creatorcontrib><creatorcontrib>Lückel, Maximilian</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Schizophrenia bulletin</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gruber, Oliver</au><au>Rauer, Lisa</au><au>Trost, Sarah</au><au>Lückel, Maximilian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>M17. PREDICTION OF NEUROLEPTIC AND ANTIDEPRESSANT TREATMENT RESPONSES VIA FMRI OF THE EXTENDED REWARD SYSTEM</atitle><jtitle>Schizophrenia bulletin</jtitle><date>2020-05-18</date><risdate>2020</risdate><volume>46</volume><issue>Supplement_1</issue><spage>S139</spage><epage>S140</epage><pages>S139-S140</pages><issn>0586-7614</issn><eissn>1745-1701</eissn><abstract>Abstract
Background
Neuroimaging techniques have been developed as important tools to assess brain dysfunctions that underlie mental disorders. In particular, modern functional magnetic resonance imaging (fMRI) holds the promise to provide neurofunctional biomarkers for improved differential diagnosis and optimized treatment of schizophrenic and affective disorders.
Methods
Neurofunctional connectivity MRI of the extended human reward system (Makris et al., 2008) was conducted in a large transnosological cohort of patients suffering from schizophrenia, bipolar disorder or major depressive disorder. Responses to neuroleptic treatments in patients with schizophrenic or bipolar disorder were determined retrospectively, while treatment responses to different antidepressants were directly assessed in a prospective naturalistic clinical study.
Results
Responders to neuroleptic treatment with aripiprazole showed significantly higher reward-related activation in a larger set of brain regions (including ventral striatum, hippocampus, amygdala, pregenual ACC and anteroventral PFC) in comparison to non-responders to aripiprazole. This finding proved to be specific for this neuroleptic treatment when compared to treatments with other atypical or typical neuroleptics. Pre-treatment reward-related activation of the nucleus accumbens, the ventral tegmental area and the amygdala showed a substance-class specific correlation with subsequent antidepressant treatment responses to SSRIs and/or agomelatine.
Discussion
These findings of ongoing studies exemplify the high potential of neuroimaging techniques to foster the development of precision medicine in psychiatry. The identification of neuroimaging markers associated with specific treatment responses may allow the development of “tailored”, i.e. stratified treatment approaches.</abstract><cop>US</cop><pub>Oxford University Press</pub><doi>10.1093/schbul/sbaa030.329</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0586-7614 |
ispartof | Schizophrenia bulletin, 2020-05, Vol.46 (Supplement_1), p.S139-S140 |
issn | 0586-7614 1745-1701 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7233832 |
source | Oxford University Press Journals All Titles (1996-Current); EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection |
subjects | Poster Session II |
title | M17. PREDICTION OF NEUROLEPTIC AND ANTIDEPRESSANT TREATMENT RESPONSES VIA FMRI OF THE EXTENDED REWARD SYSTEM |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T22%3A22%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-oup_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=M17.%20PREDICTION%20OF%20NEUROLEPTIC%20AND%20ANTIDEPRESSANT%20TREATMENT%20RESPONSES%20VIA%20FMRI%20OF%20THE%20EXTENDED%20REWARD%20SYSTEM&rft.jtitle=Schizophrenia%20bulletin&rft.au=Gruber,%20Oliver&rft.date=2020-05-18&rft.volume=46&rft.issue=Supplement_1&rft.spage=S139&rft.epage=S140&rft.pages=S139-S140&rft.issn=0586-7614&rft.eissn=1745-1701&rft_id=info:doi/10.1093/schbul/sbaa030.329&rft_dat=%3Coup_pubme%3E10.1093/schbul/sbaa030.329%3C/oup_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_oup_id=10.1093/schbul/sbaa030.329&rfr_iscdi=true |