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Personalized prediction of transcranial magnetic stimulation clinical response in patients with treatment-refractory depression using neuroimaging biomarkers and machine learning.
Hopman, H J; Chan, S M S; Chu, W C W; Lu, H; Tse, C-Y; Chau, S W H; Lam, L C W; Mak, A D P; Neggers, S F W.
Afiliação
  • Hopman HJ; The Chinese University of Hong Kong, Unit L, 19/F, Kings Wing Plaza 1, 3 On Kwan Street, Shatin, Shek Mun, New Territories, Hong Kong, SAR, China. Electronic address: hjhopman@cuhk.edu.hk.
  • Chan SMS; The Chinese University of Hong Kong, G30, G/F, Multicentre, Tai Po Hospital. 9 Chuen On Road, Tai Po, New Territories, Hong Kong, SAR, China. Electronic address: schan@cuhk.edu.hk.
  • Chu WCW; Prince of Wales Hospital, Rm 27023, G/F, Shatin, New Territories, Hong Kong, SAR, China. Electronic address: winnie@med.cuhk.edu.hk.
  • Lu H; The Chinese University of Hong Kong, Unit L, 19/F, Kings Wing Plaza 1, 3 On Kwan Street, Shatin, Shek Mun, New Territories, Hong Kong, SAR, China. Electronic address: hannalu@cuhk.edu.hk.
  • Tse CY; The Chinese University of Hong Kong, Sino Building, Rm 352, Chung Chi road, Shatin, New Territories, Hong Kong, SAR, China; Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, Hong Kong SAR China. Electronic address: chunyu.tse@cityu.edu.hk.
  • Chau SWH; Prince of Wales Hospital the Chinese University of Hong Kong Jockey Club School of Public Health, 3/F, rm 327, 30 Ngan Shing Street, Shatin, New Territories, Hong Kong, SAR, China. Electronic address: stevenwaihochau@cuhk.edu.hk.
  • Lam LCW; The Chinese University of Hong Kong, Unit L, 19/F, Kings Wing Plaza 1, 3 On Kwan Street, Shatin, Shek Mun, New Territories, Hong Kong, SAR, China. Electronic address: cwlam@cuhk.edu.hk.
  • Mak ADP; The Chinese University of Hong Kong, Unit L, 19/F, Kings Wing Plaza 1, 3 On Kwan Street, Shatin, Shek Mun, New Territories, Hong Kong, SAR, China. Electronic address: arthurdpmak@cuhk.edu.hk.
  • Neggers SFW; Brain Center Rudolf Magnus, University Medical Center Utrecht, Heidelberglaan 100. 3584 CX, Utrecht, the Netherlands. Electronic address: b.neggers@umcutrecht.nl.
J Affect Disord ; 290: 261-271, 2021 07 01.
Article em En | MEDLINE | ID: mdl-34010751
ABSTRACT

BACKGROUND:

Functional connectivity between the left dorsolateral prefrontal cortex (DLPFC) and subgenual cingulate (sgACC) may serve as a biomarker for transcranial magnetic stimulation (rTMS) treatment response. The first aim was to establish whether this finding is veridical or artifactually induced by the pre-processing method. Furthermore, alternative biomarkers were identified and the clinical utility for personalized medicine was examined.

METHODS:

Resting-state fMRI data were collected in medication-refractory depressed patients (n = 70, 16 males) before undergoing neuronavigated left DLPFC rTMS. Seed-based analyses were performed with and without global signal regression pre-processing to identify biomarkers of short-term and long-term treatment response. Receiver Operating Characteristic curve and supervised machine learning analyses were applied to assess the clinical utility of these biomarkers for the classification of categorical rTMS response.

RESULTS:

Regardless of the pre-processing method, DLPFC-sgACC connectivity was not associated with treatment outcome. Instead, poorer connectivity between the sgACC and three clusters (peak locations frontal pole, superior parietal lobule, occipital cortex) and DLPFC-central opercular cortex were observed in long-term nonresponders. The identified connections could serve as acceptable to excellent markers. Combining the features using supervised machine learning reached accuracy rates of 95.35% (CI=82.94-100.00) and 88.89% (CI=63.96-100.00) in the cross-validation and test dataset, respectively.

LIMITATIONS:

The sample size was moderate, and features for machine learning were based on group differences.

CONCLUSIONS:

Long-term nonresponders showed greater disrupted connectivity in regions involving the central executive network. Our findings may aid the development of personalized medicine for medication-refractory depression.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior / Transtorno Depressivo Resistente a Tratamento Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: J Affect Disord Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior / Transtorno Depressivo Resistente a Tratamento Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: J Affect Disord Ano de publicação: 2021 Tipo de documento: Article