Macroscopic resting state model predicts theta burst stimulation response: A randomized trial

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Fältnamn	Indikatorer	Metadata
000		04505naa a2200421 4500
001		oai:DiVA.org:uu-499930
003		SwePub
008		230406s2023 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
009		oai:prod.swepub.kib.ki.se:152167190
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4999302 URI
024	7	a https://doi.org/10.1371/journal.pcbi.10109582 DOI
024	7	a http://kipublications.ki.se/Default.aspx?queryparsed=id:1521671902 URI
040		a (SwePub)uud (SwePub)ki
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Kaboodvand, Nedau Karolinska Institutet,Uppsala universitet,Psykiatri,Stanford Univ, Dept Neurol & Neurol Sci, Stanford, CA 94305 USA.;Karolinska Inst, Dept Clin Neurosci, Stockholm, Sweden.4 aut
245	1 0	a Macroscopic resting state model predicts theta burst stimulation response :b A randomized trial
264		c 2023-03-06
264	1	b Public Library of Science (PLoS),c 2023
338		a electronic2 rdacarrier
520		a Repetitive transcranial magnetic stimulation (rTMS) is a promising alternative therapy for treatment-resistant depression, although its limited remission rate indicates room for improvement. As depression is a phenomenological construction, the biological heterogeneity within this syndrome needs to be considered to improve the existing therapies. Whole-brain modeling provides an integrative multi-modal framework for capturing disease heterogeneity in a holistic manner.Computational modelling combined with a probabilistic nonparametric fitting was applied to the resting-state fMRI data from 42 patients (21 women), to parametrize baseline brain dynamics in depression. All patients were randomly assigned to two treatment groups, namely active (i.e., rTMS, n = 22) or sham (n = 20). The active treatment group received rTMS treatment with an accelerated intermittent theta burst protocol over the dorsomedial prefrontal cortex. The sham treatment group underwent the identical procedure but with the magnetically shielded side of the coil.We stratified the depression sample into distinct covert subtypes based on their baseline attractor dynamics captured by different model parameters. Notably, the two detected depression subtypes exhibited different phenotypic behaviors at baseline. Our stratification could predict the diverse response to the active treatment that could not be explained by the sham treatment. Critically, we further found that one group exhibited more distinct improvement in certain affective and negative symptoms. The subgroup of patients with higher responsiveness to treatment exhibited blunted frequency dynamics for intrinsic activity at baseline, as indexed by lower global metastability and synchrony.Our findings suggested that whole-brain modeling of intrinsic dynamics may constitute a determinant for stratifying patients into treatment groups and bringing us closer towards precision medicine.
650	7	a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Psykiatri0 (SwePub)302152 hsv//swe
650	7	a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Psychiatry0 (SwePub)302152 hsv//eng
650	7	a MEDICIN OCH HÄLSOVETENSKAPx Medicinska och farmaceutiska grundvetenskaperx Neurovetenskaper0 (SwePub)301052 hsv//swe
650	7	a MEDICAL AND HEALTH SCIENCESx Basic Medicinex Neurosciences0 (SwePub)301052 hsv//eng
700	1	a Iravani, Behzadu Karolinska Institutet,Stanford Univ, Dept Neurol & Neurol Sci, Stanford, CA 94305 USA.;Karolinska Inst, Dept Clin Neurosci, Stockholm, Sweden.4 aut
700	1	a van den Heuvel, Martijnu Vrije Univ Amsterdam, Ctr Neurogenom & Cognit Res, Dept Complex Traits Genet, Amsterdam, Netherlands.4 aut
700	1	a Persson, Jonas,d 1983-u Uppsala universitet,Psykiatri4 aut0 (Swepub:uu)jonpe389
700	1	a Bodén, Robert,d 1973-u Uppsala universitet,Psykiatri4 aut0 (Swepub:uu)robod677
710	2	a Uppsala universitetb Psykiatri4 org
773	0	t PloS Computational Biologyd : Public Library of Science (PLoS)g 19:3q 19:3x 1553-734Xx 1553-7358
856	4	u https://doi.org/10.1371/journal.pcbi.1010958y Fulltext
856	4	u https://uu.diva-portal.org/smash/get/diva2:1749306/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-499930
856	4 8	u https://doi.org/10.1371/journal.pcbi.1010958
856	4 8	u http://kipublications.ki.se/Default.aspx?queryparsed=id:152167190

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