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1.
Volume of subcortical brain regions in social anxiety disorder: mega-analytic results from 37 samples in the ENIGMA-Anxiety Working Group.
Mol Psychiatry
; 28(3): 1079-1089, 2023 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-36653677
2.
Bipolar symptoms, somatic burden and functioning in older-age bipolar disorder: A replication study from the global aging & geriatric experiments in bipolar disorder database (GAGE-BD) project.
Int J Geriatr Psychiatry
; 39(3): e6057, 2024 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-38511929
3.
Structural brain alterations associated with suicidal thoughts and behaviors in young people: results from 21 international studies from the ENIGMA Suicidal Thoughts and Behaviours consortium.
Mol Psychiatry
; 27(11): 4550-4560, 2022 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-36071108
4.
Mega-analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group.
Hum Brain Mapp
; 43(1): 255-277, 2022 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-32596977
5.
Prediction of suicide attempts in a prospective cohort study with a nationally representative sample of the US population.
Psychol Med
; 52(14): 2985-2996, 2022 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-33441206
6.
Altered neurochemistry in the anterior white matter of bipolar children and adolescents: a multivoxel 1H MRS study.
Mol Psychiatry
; 26(8): 4117-4126, 2021 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-33173193
7.
Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders : Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group.
Mol Psychiatry
; 26(9): 4839-4852, 2021 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-32467648
8.
Smartphone-based interventions in bipolar disorder: Systematic review and meta-analyses of efficacy. A position paper from the International Society for Bipolar Disorders (ISBD) Big Data Task Force.
Bipolar Disord
; 24(6): 580-614, 2022 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-35839276
9.
Correlations between peripheral levels of inflammatory mediators and frontolimbic structures in bipolar disorder: an exploratory analysis.
CNS Spectr
; 27(5): 639-644, 2022 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-34121653
10.
Investigation of endophenotype potential of decreased fractional anisotropy in pediatric bipolar disorder patients and unrelated offspring of bipolar disorder patients.
CNS Spectr
; 27(6): 709-715, 2022 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-34044907
11.
Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group.
Mol Psychiatry
; 25(9): 2130-2143, 2020 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-30171211
12.
Distinctive Neuroanatomical Substrates for Depression in Bipolar Disorder versus Major Depressive Disorder.
Cereb Cortex
; 29(1): 202-214, 2019 01 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-29202177
13.
Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force.
Bipolar Disord
; 21(7): 582-594, 2019 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-31465619
14.
Molecular Senescence Is Associated With White Matter Microstructural Damage in Late-Life Depression.
Am J Geriatr Psychiatry
; 27(12): 1414-1418, 2019 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-31320246
15.
The use of component-wise gradient boosting to assess the possible role of cognitive measures as markers of vulnerability to pediatric bipolar disorder.
Cogn Neuropsychiatry
; 24(2): 93-107, 2019 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-30774035
16.
Cortical thickness patterns as state biomarker of anorexia nervosa.
Int J Eat Disord
; 51(3): 241-249, 2018 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-29412456
17.
Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning.
Neuroimage
; 145(Pt B): 254-264, 2017 01 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-26883067
18.
Correction: Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders.
Mol Psychiatry
; 26(12): 7854, 2021 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-34158622
19.
Machine learning-guided intervention trials to predict treatment response at an individual patient level: an important second step following randomized clinical trials.
Mol Psychiatry
; 25(4): 701-702, 2020 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-30242230
20.
Development and validation of a brain maturation index using longitudinal neuroanatomical scans.
Neuroimage
; 117: 311-8, 2015 Aug 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-26037051