283 related articles for article (PubMed ID: 25689482)
1. Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction.
Patel MJ; Andreescu C; Price JC; Edelman KL; Reynolds CF; Aizenstein HJ
Int J Geriatr Psychiatry; 2015 Oct; 30(10):1056-67. PubMed ID: 25689482
[TBL] [Abstract][Full Text] [Related]
2. Identification of specific neural circuit underlying the key cognitive deficit of remitted late-onset depression: A multi-modal MRI and machine learning study.
Wang Z; Yuan Y; Jiang Y; You J; Zhang Z
Prog Neuropsychopharmacol Biol Psychiatry; 2021 Jun; 108():110192. PubMed ID: 33285264
[TBL] [Abstract][Full Text] [Related]
3. Multi-modal neuroimaging signatures predict cognitive decline in multiple sclerosis: A 5-year longitudinal study.
Al-Iedani O; Lea S; Alshehri A; Maltby VE; Saugbjerg B; Ramadan S; Lea R; Lechner-Scott J
Mult Scler Relat Disord; 2024 Jan; 81():105379. PubMed ID: 38103511
[TBL] [Abstract][Full Text] [Related]
4. A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.
Spasov S; Passamonti L; Duggento A; Liò P; Toschi N;
Neuroimage; 2019 Apr; 189():276-287. PubMed ID: 30654174
[TBL] [Abstract][Full Text] [Related]
5. Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression: A Multimodal, Multisite Machine Learning Analysis.
Koutsouleris N; Kambeitz-Ilankovic L; Ruhrmann S; Rosen M; Ruef A; Dwyer DB; Paolini M; Chisholm K; Kambeitz J; Haidl T; Schmidt A; Gillam J; Schultze-Lutter F; Falkai P; Reiser M; Riecher-Rössler A; Upthegrove R; Hietala J; Salokangas RKR; Pantelis C; Meisenzahl E; Wood SJ; Beque D; Brambilla P; Borgwardt S;
JAMA Psychiatry; 2018 Nov; 75(11):1156-1172. PubMed ID: 30267047
[TBL] [Abstract][Full Text] [Related]
6. Default-mode network connectivity and white matter burden in late-life depression.
Wu M; Andreescu C; Butters MA; Tamburo R; Reynolds CF; Aizenstein H
Psychiatry Res; 2011 Oct; 194(1):39-46. PubMed ID: 21824753
[TBL] [Abstract][Full Text] [Related]
7. Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis.
Maglanoc LA; Kaufmann T; Jonassen R; Hilland E; Beck D; Landrø NI; Westlye LT
Hum Brain Mapp; 2020 Jan; 41(1):241-255. PubMed ID: 31571370
[TBL] [Abstract][Full Text] [Related]
8. Machine Learning Prediction of Treatment Outcome in Late-Life Depression.
Grzenda A; Speier W; Siddarth P; Pant A; Krause-Sorio B; Narr K; Lavretsky H
Front Psychiatry; 2021; 12():738494. PubMed ID: 34744829
[No Abstract] [Full Text] [Related]
9. Structural and Functional Brain Connectivity of People with Obesity and Prediction of Body Mass Index Using Connectivity.
Park BY; Seo J; Yi J; Park H
PLoS One; 2015; 10(11):e0141376. PubMed ID: 26536135
[TBL] [Abstract][Full Text] [Related]
10. Separating depressive comorbidity from panic disorder: A combined functional magnetic resonance imaging and machine learning approach.
Lueken U; Straube B; Yang Y; Hahn T; Beesdo-Baum K; Wittchen HU; Konrad C; Ströhle A; Wittmann A; Gerlach AL; Pfleiderer B; Arolt V; Kircher T
J Affect Disord; 2015 Sep; 184():182-92. PubMed ID: 26093832
[TBL] [Abstract][Full Text] [Related]
11. Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual.
Lei D; Pinaya WHL; Young J; van Amelsvoort T; Marcelis M; Donohoe G; Mothersill DO; Corvin A; Vieira S; Huang X; Lui S; Scarpazza C; Arango C; Bullmore E; Gong Q; McGuire P; Mechelli A
Hum Brain Mapp; 2020 Apr; 41(5):1119-1135. PubMed ID: 31737978
[TBL] [Abstract][Full Text] [Related]
12. Multimodal neuroimaging-based prediction of adult outcomes in childhood-onset ADHD using ensemble learning techniques.
Luo Y; Alvarez TL; Halperin JM; Li X
Neuroimage Clin; 2020; 26():102238. PubMed ID: 32182578
[TBL] [Abstract][Full Text] [Related]
13. Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods.
Eavani H; Habes M; Satterthwaite TD; An Y; Hsieh MK; Honnorat N; Erus G; Doshi J; Ferrucci L; Beason-Held LL; Resnick SM; Davatzikos C
Neurobiol Aging; 2018 Nov; 71():41-50. PubMed ID: 30077821
[TBL] [Abstract][Full Text] [Related]
14. Major depression disorder diagnosis and analysis based on structural magnetic resonance imaging and deep learning.
Wang Y; Gong N; Fu C
J Integr Neurosci; 2021 Dec; 20(4):977-984. PubMed ID: 34997720
[TBL] [Abstract][Full Text] [Related]
15. Improved prediction of brain age using multimodal neuroimaging data.
Niu X; Zhang F; Kounios J; Liang H
Hum Brain Mapp; 2020 Apr; 41(6):1626-1643. PubMed ID: 31837193
[TBL] [Abstract][Full Text] [Related]
16. Abnormal functional connectivity of the amygdala is associated with depression in Parkinson's disease.
Hu X; Song X; Yuan Y; Li E; Liu J; Liu W; Liu Y
Mov Disord; 2015 Feb; 30(2):238-44. PubMed ID: 25545969
[TBL] [Abstract][Full Text] [Related]
17. Studying depression using imaging and machine learning methods.
Patel MJ; Khalaf A; Aizenstein HJ
Neuroimage Clin; 2016; 10():115-23. PubMed ID: 26759786
[TBL] [Abstract][Full Text] [Related]
18. Multi-View Ensemble Classification of Brain Connectivity Images for Neurodegeneration Type Discrimination.
Fratello M; Caiazzo G; Trojsi F; Russo A; Tedeschi G; Tagliaferri R; Esposito F
Neuroinformatics; 2017 Apr; 15(2):199-213. PubMed ID: 28210983
[TBL] [Abstract][Full Text] [Related]
19. Regional white matter hyperintensity burden in automated segmentation distinguishes late-life depressed subjects from comparison subjects matched for vascular risk factors.
Sheline YI; Price JL; Vaishnavi SN; Mintun MA; Barch DM; Epstein AA; Wilkins CH; Snyder AZ; Couture L; Schechtman K; McKinstry RC
Am J Psychiatry; 2008 Apr; 165(4):524-32. PubMed ID: 18281408
[TBL] [Abstract][Full Text] [Related]
20. Predicting behavioral variant frontotemporal dementia with pattern classification in multi-center structural MRI data.
Meyer S; Mueller K; Stuke K; Bisenius S; Diehl-Schmid J; Jessen F; Kassubek J; Kornhuber J; Ludolph AC; Prudlo J; Schneider A; Schuemberg K; Yakushev I; Otto M; Schroeter ML;
Neuroimage Clin; 2017; 14():656-662. PubMed ID: 28348957
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
