참고문헌 (51)

1. Eur. Neurol. Acharya 74 1-2 79 2015 10.1159/000438457 A novel depression diagnosis index using nonlinear features in EEG signals 

   상세보기

2. Int. J. Psychophysiol. Ahmadlou 85 2 206 2012 10.1016/j.ijpsycho.2012.05.001 Fractality analysis of frontal brain in major depressive disorder 

   상세보기

3. Biol. Psychiatry Allen 33 8 642 1993 10.1016/0006-3223(93)90104-L Regional electroencephalographic asymmetries in bipolar seasonal affective disorder before and after exposure to bright light 

   상세보기

4. J. Affect. Disord. Andrews 213 15 187 2017 10.1016/j.jad.2017.02.019 Using the NANA toolkit at home to predict older adults’ future depression 

   상세보기

5. Psychiatry Res. Barabassy 176 1 26 2010 10.1016/j.psychres.2008.06.045 Cognitive estimation in aged patients with major depressive disorder 

   상세보기

6. Electroencephalogr. Clin. Neurophysiol. Brenner 64 6 483 1986 10.1016/0013-4694(86)90184-7 Computerized EEG spectral analysis in elderly normal, demented and depressed subjects 

   상세보기

7. Biol. Psychiatry Bremner 51 4 273 2002 10.1016/S0006-3223(01)01336-1 Reduced volume of orbitofrontal cortex in major depression 

   상세보기

8. Lancet Psychiatry Chekroud 3 3 243 2016 10.1016/S2215-0366(15)00471-X Cross-trial prediction of treatment outcome in depression: a machine learning approach 

   상세보기

9. Cognit. Emot. Davidson 12 3 307 1998 10.1080/026999398379628 Affective style and affective disorders: perspectives from affective neuroscience 

   상세보기

10. J. Personal. Soc. Psychol. Davidson 58 2 330 1990 10.1037/0022-3514.58.2.330 Approach-withdrawal and cerebral asymmetry: emotional expression and brain physiology: I 

    상세보기

11. Brain Cognit. Dawson 20 1 152 1992 10.1016/0278-2626(92)90066-U The role of frontal lobe functioning in the development of infant self-regulatory behavior 

    상세보기

12. Eur. Psychiatry Dipnall 39 40 2017 10.1016/j.eurpsy.2016.06.003 Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM) 

    상세보기

13. J. Behav. Ther. Exp. Psychiatry Duque 46 107 2015 10.1016/j.jbtep.2014.09.005 Double attention bias for positive and negative emotional faces in clinical depression: evidence from an eye-tracking study 

    상세보기

14. J. Mach. Learn. Res. Fan 9 1871 2008 LIBLINEAR: a library for large linear classification 

15. Psychiatry Res. Flor-Henry 130 2 191 2004 10.1016/j.pscychresns.2003.08.006 A source-imaging (low-resolution electromagnetic tomography) study of the EEGs from unmedicated males with depression 

    상세보기

16. Biol. Psychiatry Fox 72 7 595 2012 10.1016/j.biopsych.2012.04.028 Efficacy of transcranial magnetic stimulation targets for depression is related to intrinsic functional connectivity with the subgenual cingulate 

    상세보기

17. Cognit. Emot. Gotlib 12 3 449 1998 10.1080/026999398379673 EEG alpha asymmetry, depression, and cognitive functioning 

    상세보기

18. J. Abnorm. Psychol. Gotlib 113 3 386 2004 10.1037/0021-843X.113.3.386 Coherence and specificity of information-processing biases in depression and social phobia 

    상세보기

19. Clin. Neurophysiol. Grin-Yatsenko 121 3 281 2010 10.1016/j.clinph.2009.11.015 Independent component approach to the analysis of EEG recordings at early stages of depressive disorders 

    상세보기

20. J. Nerv. Ment. Dis. Greenfield 136 6 535 1963 10.1097/00005053-196306000-00004 The relationship between physiological and psychological responsivity: depression and galvanic skin response 

    상세보기

21. IEEE Intell. Syst. Appl. Hearst 13 4 18 1998 10.1109/5254.708428 Support vector machines 

    상세보기

22. J. Abnorm. Psychol. Henriques 100 4 535 1991 10.1037/0021-843X.100.4.535 Left frontal hypoactivation in depression 

    상세보기

23. Comput. Methods Programs Biomed. Hosseinifard 109 3 339 2013 10.1016/j.cmpb.2012.10.008 Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal 

    상세보기

24. Hu 1 361 2015 Web Intelligence and Intelligent Agent Technology (WI-IAT), 2015 IEEE/WIC/ACM International Conference on Predicting depression of social media user on different observation windows 

25. Eur. Neuropsychopharmacol. Iosifescu 19 11 772 2009 10.1016/j.euroneuro.2009.06.001 Frontal EEG predictors of treatment outcome in major depressive disorder 

    상세보기

26. Kang 231 2016 Big Data and Smart Computing (BigComp), 2016 International Conference on Identifying depressive users in Twitter using multimodal analysis 

27. Behav. Res. Ther. Kellough 46 11 1238 2008 10.1016/j.brat.2008.07.004 Time course of selective attention in clinically depressed young adults: an eye tracking study 

    상세보기

28. Prog. Neuropsychopharmacol. Biol. Psychiatry Kim 80 71 2018 10.1016/j.pnpbp.2017.06.024 Application of machine learning classification for structural brain MRI in mood disorders: critical review from a clinical perspective 

    상세보기

29. Psychiatry Res. Knott 106 2 123 2001 10.1016/S0925-4927(00)00080-9 EEG power, frequency, asymmetry and coherence in male depression 

    상세보기

30. Behav. Res. Methods Kurdi 49 2 457 2017 10.3758/s13428-016-0715-3 Introducing the open affective standardized image set (OASIS) 

    상세보기

31. J. Affect. Disord. Kwon 40 3 169 1996 10.1016/0165-0327(96)00057-2 Right hemisphere abnormalities in major depression: quantitative electroencephalographic findings before and after treatment 

    상세보기

32. Biol. Psychiatry Lai 48 10 971 2000 10.1016/S0006-3223(00)01042-8 Reduction of orbital frontal cortex volume in geriatric depression 

    상세보기

33. Sensors Liao 17 6 1385 2017 10.3390/s17061385 Major depression detection from EEG signals using kernel eigen-filter-bank common spatial patterns 

    상세보기

34. R News Liaw 2 3 18 2002 Classification and regression by Random Forest 

35. Lancet Mitchell 374 9690 609 2009 10.1016/S0140-6736(09)60879-5 Clinical diagnosis of depression in primary care: a meta-analysis 

    상세보기

36. Clin. Neurophysiol. Mormann 116 3 569 2005 10.1016/j.clinph.2004.08.025 On the predictability of epileptic seizures 

    상세보기

37. Med. Biol. Eng. Comput. Mumtaz 1 2017 A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD) 

38. J. Psychiatr. Res. Nissen 35 3 155 2001 10.1016/S0022-3956(01)00021-8 Delta sleep ratio as a predictor of sleep deprivation response in major depression 

    상세보기

39. Sleep Nissen 29 8 1068 2006 10.1093/sleep/29.8.1068 Impaired sleep-related memory consolidation in primary insomnia-a pilot study 

    상세보기

40. Neuroimage Clin. Patel 10 115 2016 10.1016/j.nicl.2015.11.003 Studying depression using imaging and machine learning methods 

    상세보기

41. Neuropsychopharmacology Pizzagalli 36 1 183 2011 10.1038/npp.2010.166 Frontocingulate dysfunction in depression: toward biomarkers of treatment response 

    상세보기

42. J. Mach. Learn. Technol. Powers 2 1 37 2011 Evaluation: from precision, recall and f-measure to ROC, informedness, markedness & correlation 

43. Brain Topogr. Roemer 4 4 285 1992 10.1007/BF01135566 Quantitative EEG in elderly depressives 

    상세보기

44. Psychiatry Res. Sato 233 2 289 2015 10.1016/j.pscychresns.2015.07.001 Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression 

    상세보기

45. Physica D: Nonlinear Phenom Stam 163 3-4 236 2002 10.1016/S0167-2789(01)00386-4 Synchronization likelihood: an unbiased measure of generalized synchronization in multivariate data sets 

    상세보기

46. 2017 Key Substance Use and Mental Health Indicators in the United States: Results from the 2016 National Survey on Drug Use and Health (HHS Publication No. SMA 17-5044, NSDUH Series H-52) 

47. Int. J. Psychol. Psychol. Ther. Vahey 15 2 275 2015 Galvanic skin response in mood disorders: a critical review 

48. Neurosci. Biobehav. Rev. Willner 37 10 2331 2013 10.1016/j.neubiorev.2012.12.007 The neurobiology of depression and antidepressant action 

    상세보기

49. 1992 The ICD-10 Classification of Mental and Behavioural Disorders: Clinical Descriptions and Diagnostic Guidelines 

50. J. Clin. Neurophysiol. Zoon 30 3 261 2013 10.1097/WNP.0b013e3182933d6e EEG alpha power as an intermediate measure between brain-derived neurotrophic factor Val66Met and depression severity in patients with major depressive disorder 

    상세보기

51. Arch. Gen. Psychiatry Zung 13 6 508 1965 10.1001/archpsyc.1965.01730060026004 Self-rating depression scale in an outpatient clinic: further validation of the SDS 

    상세보기