Ultra-high field MRI reveals mood-related circuit disturbances in depression: a comparison between 3-Tesla and 7-Tesla
Ultra-high field 7-Tesla (7 T) MRI has the potential to advance our understanding of neuropsychiatric disorders, including major depressive disorder (MDD). To date, few studies have quantified the advantage of resting state functional MRI (fMRI) at 7 T compared to 3-Tesla (3 T). We conducted a serie...
Gespeichert in:
| Veröffentlicht in: | Translational psychiatry 2019-02, Vol.9 (1), p.94-94, Article 94 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 94 |
|---|---|
| container_issue | 1 |
| container_start_page | 94 |
| container_title | Translational psychiatry |
| container_volume | 9 |
| creator | Morris, Laurel S. Kundu, Prantik Costi, Sara Collins, Abigail Schneider, Molly Verma, Gaurav Balchandani, Priti Murrough, James W. |
| description | Ultra-high field 7-Tesla (7 T) MRI has the potential to advance our understanding of neuropsychiatric disorders, including major depressive disorder (MDD). To date, few studies have quantified the advantage of resting state functional MRI (fMRI) at 7 T compared to 3-Tesla (3 T). We conducted a series of experiments that demonstrate the improvement in temporal signal-to-noise ratio (TSNR) of a multi-echo multi-band fMRI protocol with ultra-high field 7 T MRI, compared to a similar protocol using 3 T MRI in healthy controls (HC). We also directly tested the enhancement in ultra-high field 7 T fMRI signal power by examining the ventral tegmental area (VTA), a small midbrain structure that is critical to the expected neuropathology of MDD but difficult to discern with standard 3 T MRI. We demonstrate up to 300% improvement in TSNR and resting state functional connectivity coefficients provided by ultra-high field 7 T fMRI compared to 3 T, indicating enhanced power for detection of functional neural architecture. A multi-echo based acquisition protocol and signal denoising pipeline afforded greater gain in signal power compared to classic acquisition and denoising pipelines. Furthermore, ultra-high field fMRI revealed mood-related neurocircuit disturbances in patients with MDD compared to HC, which were not detectable with 3 T fMRI. Ultra-high field 7 T fMRI may provide an effective tool for studying functional neural architecture relevant to MDD and other neuropsychiatric disorders. |
| doi_str_mv | 10.1038/s41398-019-0425-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6377652</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2181775303</sourcerecordid><originalsourceid>FETCH-LOGICAL-c470t-748b5af94ea7ee60c90ca073ca6f1a31edbd883250b4cc9ba038fde99f429e113</originalsourceid><addsrcrecordid>eNp1kU9rFTEUxYMotjz7AdxIwI2baP5MJhkXghRbCxVB2nXIJHfeS5lJnsnME7-9eUytVTCbXLi_nHtPDkIvGX3LqNDvSsNEpwllHaENl6R9gk45k5oIpvXTR_UJOivljtYjG80Ue45OBFWKKq1P0eF2nLMlu7Dd4SHA6PGXb1c4wwHsWPCUkicZRjuDxy5kt4QZ-1DmJfc2Oig4ROxhn6GUkOJ7bLFL097mUFLEPcw_ACIW5AbKaLGNHqu1foGeDXUAnN3fG3R78enm_DO5_np5df7xmrhG0ZmoRvfSDl0DVgG01HXUWaqEs-3ArGDge6-14JL2jXNdb-vHDB66bmh4B4yJDfqw6u6XfgLvIFa3o9nnMNn80yQbzN-dGHZmmw6mFUq1kleBN_cCOX1foMxmCsXBONoIaSmGMy2l5JSrir7-B71LS47V3pFiSklBRaXYSrmcSskwPCzDqDkGa9ZgTQ3WHIOtq2zQq8cuHl78jrECfAVKbcUt5D-j_6_6C3Vir4E</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2181775303</pqid></control><display><type>article</type><title>Ultra-high field MRI reveals mood-related circuit disturbances in depression: a comparison between 3-Tesla and 7-Tesla</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Springer Nature OA Free Journals</source><source>Nature Free</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Morris, Laurel S. ; Kundu, Prantik ; Costi, Sara ; Collins, Abigail ; Schneider, Molly ; Verma, Gaurav ; Balchandani, Priti ; Murrough, James W.</creator><creatorcontrib>Morris, Laurel S. ; Kundu, Prantik ; Costi, Sara ; Collins, Abigail ; Schneider, Molly ; Verma, Gaurav ; Balchandani, Priti ; Murrough, James W.</creatorcontrib><description>Ultra-high field 7-Tesla (7 T) MRI has the potential to advance our understanding of neuropsychiatric disorders, including major depressive disorder (MDD). To date, few studies have quantified the advantage of resting state functional MRI (fMRI) at 7 T compared to 3-Tesla (3 T). We conducted a series of experiments that demonstrate the improvement in temporal signal-to-noise ratio (TSNR) of a multi-echo multi-band fMRI protocol with ultra-high field 7 T MRI, compared to a similar protocol using 3 T MRI in healthy controls (HC). We also directly tested the enhancement in ultra-high field 7 T fMRI signal power by examining the ventral tegmental area (VTA), a small midbrain structure that is critical to the expected neuropathology of MDD but difficult to discern with standard 3 T MRI. We demonstrate up to 300% improvement in TSNR and resting state functional connectivity coefficients provided by ultra-high field 7 T fMRI compared to 3 T, indicating enhanced power for detection of functional neural architecture. A multi-echo based acquisition protocol and signal denoising pipeline afforded greater gain in signal power compared to classic acquisition and denoising pipelines. Furthermore, ultra-high field fMRI revealed mood-related neurocircuit disturbances in patients with MDD compared to HC, which were not detectable with 3 T fMRI. Ultra-high field 7 T fMRI may provide an effective tool for studying functional neural architecture relevant to MDD and other neuropsychiatric disorders.</description><identifier>ISSN: 2158-3188</identifier><identifier>EISSN: 2158-3188</identifier><identifier>DOI: 10.1038/s41398-019-0425-6</identifier><identifier>PMID: 30770788</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>59/36 ; 59/57 ; 631/378 ; 692/699/476/1414 ; Adult ; Algorithms ; Behavioral Sciences ; Biological Psychology ; Brain Mapping - methods ; Case-Control Studies ; Depressive Disorder, Major - diagnostic imaging ; Depressive Disorder, Major - physiopathology ; Female ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging - methods ; Male ; Medicine ; Medicine & Public Health ; Mental depression ; Middle Aged ; Neuropathology ; Neurosciences ; NMR ; Nuclear magnetic resonance ; Pharmacotherapy ; Physiology ; Psychiatry ; Time series</subject><ispartof>Translational psychiatry, 2019-02, Vol.9 (1), p.94-94, Article 94</ispartof><rights>The Author(s) 2019</rights><rights>This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-748b5af94ea7ee60c90ca073ca6f1a31edbd883250b4cc9ba038fde99f429e113</citedby><cites>FETCH-LOGICAL-c470t-748b5af94ea7ee60c90ca073ca6f1a31edbd883250b4cc9ba038fde99f429e113</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6377652/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6377652/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,41120,42189,51576,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30770788$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Morris, Laurel S.</creatorcontrib><creatorcontrib>Kundu, Prantik</creatorcontrib><creatorcontrib>Costi, Sara</creatorcontrib><creatorcontrib>Collins, Abigail</creatorcontrib><creatorcontrib>Schneider, Molly</creatorcontrib><creatorcontrib>Verma, Gaurav</creatorcontrib><creatorcontrib>Balchandani, Priti</creatorcontrib><creatorcontrib>Murrough, James W.</creatorcontrib><title>Ultra-high field MRI reveals mood-related circuit disturbances in depression: a comparison between 3-Tesla and 7-Tesla</title><title>Translational psychiatry</title><addtitle>Transl Psychiatry</addtitle><addtitle>Transl Psychiatry</addtitle><description>Ultra-high field 7-Tesla (7 T) MRI has the potential to advance our understanding of neuropsychiatric disorders, including major depressive disorder (MDD). To date, few studies have quantified the advantage of resting state functional MRI (fMRI) at 7 T compared to 3-Tesla (3 T). We conducted a series of experiments that demonstrate the improvement in temporal signal-to-noise ratio (TSNR) of a multi-echo multi-band fMRI protocol with ultra-high field 7 T MRI, compared to a similar protocol using 3 T MRI in healthy controls (HC). We also directly tested the enhancement in ultra-high field 7 T fMRI signal power by examining the ventral tegmental area (VTA), a small midbrain structure that is critical to the expected neuropathology of MDD but difficult to discern with standard 3 T MRI. We demonstrate up to 300% improvement in TSNR and resting state functional connectivity coefficients provided by ultra-high field 7 T fMRI compared to 3 T, indicating enhanced power for detection of functional neural architecture. A multi-echo based acquisition protocol and signal denoising pipeline afforded greater gain in signal power compared to classic acquisition and denoising pipelines. Furthermore, ultra-high field fMRI revealed mood-related neurocircuit disturbances in patients with MDD compared to HC, which were not detectable with 3 T fMRI. Ultra-high field 7 T fMRI may provide an effective tool for studying functional neural architecture relevant to MDD and other neuropsychiatric disorders.</description><subject>59/36</subject><subject>59/57</subject><subject>631/378</subject><subject>692/699/476/1414</subject><subject>Adult</subject><subject>Algorithms</subject><subject>Behavioral Sciences</subject><subject>Biological Psychology</subject><subject>Brain Mapping - methods</subject><subject>Case-Control Studies</subject><subject>Depressive Disorder, Major - diagnostic imaging</subject><subject>Depressive Disorder, Major - physiopathology</subject><subject>Female</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental depression</subject><subject>Middle Aged</subject><subject>Neuropathology</subject><subject>Neurosciences</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Pharmacotherapy</subject><subject>Physiology</subject><subject>Psychiatry</subject><subject>Time series</subject><issn>2158-3188</issn><issn>2158-3188</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kU9rFTEUxYMotjz7AdxIwI2baP5MJhkXghRbCxVB2nXIJHfeS5lJnsnME7-9eUytVTCbXLi_nHtPDkIvGX3LqNDvSsNEpwllHaENl6R9gk45k5oIpvXTR_UJOivljtYjG80Ue45OBFWKKq1P0eF2nLMlu7Dd4SHA6PGXb1c4wwHsWPCUkicZRjuDxy5kt4QZ-1DmJfc2Oig4ROxhn6GUkOJ7bLFL097mUFLEPcw_ACIW5AbKaLGNHqu1foGeDXUAnN3fG3R78enm_DO5_np5df7xmrhG0ZmoRvfSDl0DVgG01HXUWaqEs-3ArGDge6-14JL2jXNdb-vHDB66bmh4B4yJDfqw6u6XfgLvIFa3o9nnMNn80yQbzN-dGHZmmw6mFUq1kleBN_cCOX1foMxmCsXBONoIaSmGMy2l5JSrir7-B71LS47V3pFiSklBRaXYSrmcSskwPCzDqDkGa9ZgTQ3WHIOtq2zQq8cuHl78jrECfAVKbcUt5D-j_6_6C3Vir4E</recordid><startdate>20190215</startdate><enddate>20190215</enddate><creator>Morris, Laurel S.</creator><creator>Kundu, Prantik</creator><creator>Costi, Sara</creator><creator>Collins, Abigail</creator><creator>Schneider, Molly</creator><creator>Verma, Gaurav</creator><creator>Balchandani, Priti</creator><creator>Murrough, James W.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190215</creationdate><title>Ultra-high field MRI reveals mood-related circuit disturbances in depression: a comparison between 3-Tesla and 7-Tesla</title><author>Morris, Laurel S. ; Kundu, Prantik ; Costi, Sara ; Collins, Abigail ; Schneider, Molly ; Verma, Gaurav ; Balchandani, Priti ; Murrough, James W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-748b5af94ea7ee60c90ca073ca6f1a31edbd883250b4cc9ba038fde99f429e113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>59/36</topic><topic>59/57</topic><topic>631/378</topic><topic>692/699/476/1414</topic><topic>Adult</topic><topic>Algorithms</topic><topic>Behavioral Sciences</topic><topic>Biological Psychology</topic><topic>Brain Mapping - methods</topic><topic>Case-Control Studies</topic><topic>Depressive Disorder, Major - diagnostic imaging</topic><topic>Depressive Disorder, Major - physiopathology</topic><topic>Female</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mental depression</topic><topic>Middle Aged</topic><topic>Neuropathology</topic><topic>Neurosciences</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Pharmacotherapy</topic><topic>Physiology</topic><topic>Psychiatry</topic><topic>Time series</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Morris, Laurel S.</creatorcontrib><creatorcontrib>Kundu, Prantik</creatorcontrib><creatorcontrib>Costi, Sara</creatorcontrib><creatorcontrib>Collins, Abigail</creatorcontrib><creatorcontrib>Schneider, Molly</creatorcontrib><creatorcontrib>Verma, Gaurav</creatorcontrib><creatorcontrib>Balchandani, Priti</creatorcontrib><creatorcontrib>Murrough, James W.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Translational psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Morris, Laurel S.</au><au>Kundu, Prantik</au><au>Costi, Sara</au><au>Collins, Abigail</au><au>Schneider, Molly</au><au>Verma, Gaurav</au><au>Balchandani, Priti</au><au>Murrough, James W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ultra-high field MRI reveals mood-related circuit disturbances in depression: a comparison between 3-Tesla and 7-Tesla</atitle><jtitle>Translational psychiatry</jtitle><stitle>Transl Psychiatry</stitle><addtitle>Transl Psychiatry</addtitle><date>2019-02-15</date><risdate>2019</risdate><volume>9</volume><issue>1</issue><spage>94</spage><epage>94</epage><pages>94-94</pages><artnum>94</artnum><issn>2158-3188</issn><eissn>2158-3188</eissn><abstract>Ultra-high field 7-Tesla (7 T) MRI has the potential to advance our understanding of neuropsychiatric disorders, including major depressive disorder (MDD). To date, few studies have quantified the advantage of resting state functional MRI (fMRI) at 7 T compared to 3-Tesla (3 T). We conducted a series of experiments that demonstrate the improvement in temporal signal-to-noise ratio (TSNR) of a multi-echo multi-band fMRI protocol with ultra-high field 7 T MRI, compared to a similar protocol using 3 T MRI in healthy controls (HC). We also directly tested the enhancement in ultra-high field 7 T fMRI signal power by examining the ventral tegmental area (VTA), a small midbrain structure that is critical to the expected neuropathology of MDD but difficult to discern with standard 3 T MRI. We demonstrate up to 300% improvement in TSNR and resting state functional connectivity coefficients provided by ultra-high field 7 T fMRI compared to 3 T, indicating enhanced power for detection of functional neural architecture. A multi-echo based acquisition protocol and signal denoising pipeline afforded greater gain in signal power compared to classic acquisition and denoising pipelines. Furthermore, ultra-high field fMRI revealed mood-related neurocircuit disturbances in patients with MDD compared to HC, which were not detectable with 3 T fMRI. Ultra-high field 7 T fMRI may provide an effective tool for studying functional neural architecture relevant to MDD and other neuropsychiatric disorders.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>30770788</pmid><doi>10.1038/s41398-019-0425-6</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2158-3188 |
| ispartof | Translational psychiatry, 2019-02, Vol.9 (1), p.94-94, Article 94 |
| issn | 2158-3188 2158-3188 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6377652 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Springer Nature OA Free Journals; Nature Free; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | 59/36 59/57 631/378 692/699/476/1414 Adult Algorithms Behavioral Sciences Biological Psychology Brain Mapping - methods Case-Control Studies Depressive Disorder, Major - diagnostic imaging Depressive Disorder, Major - physiopathology Female Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging - methods Male Medicine Medicine & Public Health Mental depression Middle Aged Neuropathology Neurosciences NMR Nuclear magnetic resonance Pharmacotherapy Physiology Psychiatry Time series |
| title | Ultra-high field MRI reveals mood-related circuit disturbances in depression: a comparison between 3-Tesla and 7-Tesla |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T20%3A58%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Ultra-high%20field%20MRI%20reveals%20mood-related%20circuit%20disturbances%20in%20depression:%20a%20comparison%20between%203-Tesla%20and%207-Tesla&rft.jtitle=Translational%20psychiatry&rft.au=Morris,%20Laurel%20S.&rft.date=2019-02-15&rft.volume=9&rft.issue=1&rft.spage=94&rft.epage=94&rft.pages=94-94&rft.artnum=94&rft.issn=2158-3188&rft.eissn=2158-3188&rft_id=info:doi/10.1038/s41398-019-0425-6&rft_dat=%3Cproquest_pubme%3E2181775303%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2181775303&rft_id=info:pmid/30770788&rfr_iscdi=true |