000906050 001__ 906050
000906050 005__ 20230123110557.0
000906050 0247_ $$2doi$$a10.1038/s41398-022-01787-3
000906050 0247_ $$2Handle$$a2128/30633
000906050 0247_ $$2pmid$$a35082273
000906050 0247_ $$2WOS$$aWOS:000749223600001
000906050 037__ $$aFZJ-2022-01196
000906050 082__ $$a610
000906050 1001_ $$0P:(DE-Juel1)131781$$aNeuner, Irene$$b0$$eCorresponding author$$ufzj
000906050 245__ $$a7T ultra-high-field neuroimaging for mental health: an emerging tool for precision psychiatry?
000906050 260__ $$aLondon$$bNature Publishing Group$$c2022
000906050 3367_ $$2DRIVER$$aarticle
000906050 3367_ $$2DataCite$$aOutput Types/Journal article
000906050 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1643704305_24165
000906050 3367_ $$2BibTeX$$aARTICLE
000906050 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000906050 3367_ $$00$$2EndNote$$aJournal Article
000906050 520__ $$aGiven the huge symptom diversity and complexity of mental disorders, an individual approach is the most promising avenue for clinical transfer and the establishment of personalized psychiatry. However, due to technical limitations, knowledge about the neurobiological basis of mental illnesses has, to date, mainly been based on findings resulting from evaluations of average data from certain diagnostic groups. We postulate that this could change substantially through the use of the emerging ultra-high-field MRI (UHF-MRI) technology. The main advantages of UHF-MRI include high signal-to-noise ratio, resulting in higher spatial resolution and contrast and enabling individual examinations of single subjects. Thus, we used this technology to assess changes in the properties of resting-state networks over the course of therapy in a naturalistic study of two depressed patients. Significant changes in several network property measures were found in regions corresponding to prior knowledge from group-level studies. Moreover, relevant parameters were already significantly divergent in both patients at baseline. In summary, we demonstrate the feasibility of UHF-MRI for capturing individual neurobiological correlates of mental diseases. These could serve as a tool for therapy monitoring and pave the way for a truly individualized and predictive clinical approach in psychiatric care.
000906050 536__ $$0G:(DE-HGF)POF4-5253$$a5253 - Neuroimaging (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000906050 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000906050 7001_ $$00000-0001-7906-6966$$aVeselinović, Tanja$$b1
000906050 7001_ $$0P:(DE-Juel1)169201$$aRamkiran, Shukti$$b2
000906050 7001_ $$0P:(DE-Juel1)164396$$aRajkumar, Ravichandran$$b3
000906050 7001_ $$0P:(DE-HGF)0$$aSchnellbaecher, Gereon Johannes$$b4
000906050 7001_ $$0P:(DE-Juel1)131794$$aShah, N. Jon$$b5$$ufzj
000906050 773__ $$0PERI:(DE-600)2609311-X$$a10.1038/s41398-022-01787-3$$gVol. 12, no. 1, p. 36$$n1$$p36$$tTranslational Psychiatry$$v12$$x2158-3188$$y2022
000906050 8564_ $$uhttps://juser.fz-juelich.de/record/906050/files/s41398-022-01787-3.pdf$$yOpenAccess
000906050 909CO $$ooai:juser.fz-juelich.de:906050$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000906050 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131781$$aForschungszentrum Jülich$$b0$$kFZJ
000906050 9101_ $$0I:(DE-588b)5008462-8$$60000-0001-7906-6966$$aForschungszentrum Jülich$$b1$$kFZJ
000906050 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)169201$$aForschungszentrum Jülich$$b2$$kFZJ
000906050 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)164396$$aForschungszentrum Jülich$$b3$$kFZJ
000906050 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-HGF)0$$aForschungszentrum Jülich$$b4$$kFZJ
000906050 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131794$$aForschungszentrum Jülich$$b5$$kFZJ
000906050 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5253$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000906050 9141_ $$y2022
000906050 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-01-29
000906050 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-01-29
000906050 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000906050 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2021-01-29
000906050 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000906050 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2021-01-29
000906050 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bTRANSL PSYCHIAT : 2021$$d2022-11-18
000906050 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-18
000906050 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2022-11-18
000906050 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2021-02-14T16:19:47Z
000906050 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2021-02-14T16:19:47Z
000906050 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Blind peer review$$d2021-02-14T16:19:47Z
000906050 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-18
000906050 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-18
000906050 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2022-11-18
000906050 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bTRANSL PSYCHIAT : 2021$$d2022-11-18
000906050 9201_ $$0I:(DE-Juel1)INM-4-20090406$$kINM-4$$lPhysik der Medizinischen Bildgebung$$x0
000906050 9201_ $$0I:(DE-Juel1)INM-11-20170113$$kINM-11$$lJara-Institut Quantum Information$$x1
000906050 9201_ $$0I:(DE-Juel1)VDB1046$$kJARA-BRAIN$$lJülich-Aachen Research Alliance - Translational Brain Medicine$$x2
000906050 980__ $$ajournal
000906050 980__ $$aVDB
000906050 980__ $$aUNRESTRICTED
000906050 980__ $$aI:(DE-Juel1)INM-4-20090406
000906050 980__ $$aI:(DE-Juel1)INM-11-20170113
000906050 980__ $$aI:(DE-Juel1)VDB1046
000906050 9801_ $$aFullTexts