[1] |
Malhi GS, Mann JJ.
Depression[J]. LancetLancet, 2018, 392(10161): 2299-2312.
doi: 10.1016/S0140-6736(18)31948-2 |
[2] |
Morimoto SS, Wexler BE, Liu JC, et al. Neuroplasticity-based computerized cognitive remediation for treatment-resistant geriatric depression[J/OL]. Nat Commun, 2014, 5: 4579[2020-12-08]. https://www.nature.com/articles/ncomms5579. DOI: 10.1038/ncomms5579. |
[3] |
Munro BA, Weyandt LL, Hall LE, et al.
Physiological substrates of executive functioning: a systematic review of the literature[J]. Atten Defic Hyperact DisordAtten Defic Hyperact Disord, 2018, 10(1): 1-20.
doi: 10.1007/s12402-017-0226-9 |
[4] |
Morimoto SS, Alexopoulos GS.
Cognitive deficits in geriatric depression: clinical correlates and implications for current and future treatment[J]. Psychiatr Clin North AmPsychiatr Clin North Am, 2013, 36(4): 517-531.
doi: 10.1016/j.psc.2013.08.002 |
[5] |
Epp AM, Dobson KS, Dozois DJA, et al.
A systematic meta-analysis of the Stroop task in depression[J]. Clin Psychol RevClin Psychol Rev, 2012, 32(4): 316-328.
doi: 10.1016/j.cpr.2012.02.005 |
[6] |
Elgamal S, McKinnon MC, Ramakrishnan K, et al.
Successful computer-assisted cognitive remediation therapy in patients with unipolar depression: a proof of principle study[J]. Psychol MedPsychol Med, 2007, 37(9): 1229-1238.
doi: 10.1017/S0033291707001110 |
[7] |
Stern Y.
Cognitive reserve: implications for assessment and intervention[J]. Folia Phoniatr LogopFolia Phoniatr Logop, 2013, 65: 49-54.
doi: 10.1159/000353443 |
[8] |
Alders GL, Davis AD, MacQueen G, et al.
Reduced accuracy accompanied by reduced neural activity during the performance of an emotional conflict task by unmedicated patients with major depression: a CAN-BIND fMRI study[J]. J Affect DisordJ Affect Disord, 2019, 257: 765-773.
doi: 10.1016/j.jad.2019.07.037 |
[9] |
Murphy CF, Gunning-Dixon FM, Hoptman MJ, et al.
White-matter integrity predicts stroop performance in patients with geriatric depression[J]. Biol PsychiatryBiol Psychiatry, 2007, 61(8): 1007-1010.
doi: 10.1016/j.biopsych.2006.07.028 |
[10] |
Albert KM, Potter GG, Boyd BD, et al.
Brain network functional connectivity and cognitive performance in major depressive disorder[J]. J Psychiatr ResJ Psychiatr Res, 2019, 110: 51-56.
doi: 10.1016/j.jpsychires.2018.11.020 |
[11] |
Shi YS, Li J, Feng Z, et al.
Abnormal functional connectivity strength in first-episode, drug-naïve adult patients with major depressive disorder[J]. Prog Neuropsychopharmacol Biol PsychiatryProg Neuropsychopharmacol Biol Psychiatry, 2020, 97: 109759-.
doi: 10.1016/j.pnpbp.2019.109759 |
[12] |
Liu YJ, Chen YP, Liang XY, et al. Altered resting-state functional connectivity of multiple networks and disrupted correlation with executive function in major depressive disorder[J/OL]. Front Neurol, 2020, 11: 272[2020-12-08]. https://www.frontiersin.org/articles/10.3389/fneur.2020.00272/full. DOI: 10.3389/fneur.2020.00272. |
[13] |
Rosen ML, Amso D, McLaughlin KA.
The role of the visual association cortex in scaffolding prefrontal cortex development: a novel mechanism linking socioeconomic status and executive function[J]. Dev Cogn NeurosciDev Cogn Neurosci, 2019, 39: 100699-.
doi: 10.1016/j.dcn.2019.100699 |
[14] |
Loeffler LAK, Satterthwaite TD, Habel U, et al.
Attention control and its emotion-specific association with cognitive emotion regulation in depression[J]. Brain Imaging BehavBrain Imaging Behav, 2019, 13(6): 1766-1779.
doi: 10.1007/s11682-019-00174-9 |
[15] |
Peters AT, Burkhouse K, Feldhaus CC, et al.
Aberrant resting-state functional connectivity in limbic and cognitive control networks relates to depressive rumination and mindfulness: a pilot study among adolescents with a history of depression[J]. J Affect DisordJ Affect Disord, 2016, 200: 178-181.
doi: 10.1016/j.jad.2016.03.059 |
[16] |
Chin Fatt CR, Jha MK, Cooper CM, et al.
Effect of intrinsic patterns of functional brain connectivity in moderating antidepressant treatment response in major depression[J]. Am J PsychiatryAm J Psychiatry, 2020, 177(2): 143-154.
doi: 10.1176/appi.ajp.2019.18070870 |
[17] |
Zhao QH, Swati ZNK, Metmer H, et al.
Investigating executive control network and default mode network dysfunction in major depressive disorder[J]. Neurosci LettNeurosci Lett, 2019, 701: 154-161.
doi: 10.1016/j.neulet.2019.02.045 |
[18] |
Li WJ, Ward BD, Xie CM, et al.
Amygdala network dysfunction in late-life depression phenotypes: relationships with symptom dimensions[J]. J Psychiatr ResJ Psychiatr Res, 2015, 70: 121-129.
doi: 10.1016/j.jpsychires.2015.09.002 |
[19] |
Shin JH, Um YH, Lee CU, et al.
Multiple cortical thickness sub-networks and cognitive impairments in first episode, drug naïve patients with late life depression: a graph theory analysis[J]. J Affect DisordJ Affect Disord, 2018, 229: 538-545.
doi: 10.1016/j.jad.2017.12.083 |
[20] |
Kikuchi T, Miller JM, Schneck N, et al.
Neural responses to incongruency in a blocked-trial Stroop fMRI task in major depressive disorder[J]. J Affect DisordJ Affect Disord, 2012, 143(1/3): 241-247.
doi: 10.1016/j.jad.2012.05.016 |
[21] |
Rizk MM, Rubin-Falcone H, Keilp J, et al.
White matter correlates of impaired attention control in major depressive disorder and healthy volunteers[J]. J Affect DisordJ Affect Disord, 2017, 222: 103-111.
doi: 10.1016/j.jad.2017.06.066 |
[22] |
Repple J, Meinert S, Grotegerd D, et al.
A voxel-based diffusion tensor imaging study in unipolar and bipolar depression[J]. Bipolar DisordBipolar Disord, 2017, 19(1): 23-31.
doi: 10.1111/bdi.12465 |
[23] |
陈丽萍, 许崇涛.
抑郁症患者认知功能的脑功能影像学研究进展[J]. 国际精神病学杂志国际精神病学杂志, 2012, 39(1): 17-21.
doi: 10.13479/j.cnki.jip.2012.01.010 Chen LP, Xu CT. Advances in brain functional imaging studies of cognitivefunction in patients with depression[J]. J Inter PsychiatryJ Inter Psychiatry, 2012, 39(1): 17-21. doi: 10.13479/j.cnki.jip.2012.01.010 |
[24] |
Schermuly I, Fellgiebel A, Wagner S, et al.
Association between cingulum bundle structure and cognitive performance: an observational study in major depression[J]. Eur PsychiatryEur Psychiatry, 2010, 25(6): 355-360.
doi: 10.1016/j.eurpsy.2010.05.001 |
[25] |
Liao Y, Huang XQ, Wu QZ, et al.
Is depression a disconnection syndrome? Meta-analysis of diffusion tensor imaging studies in patients with MDD[J]. J Psychiatry NeurosciJ Psychiatry Neurosci, 2013, 38(1): 49-56.
doi: 10.1503/jpn.110180 |
[26] |
Sexton CE, McDermott L, Kalu UG, et al.
Exploring the pattern and neural correlates of neuropsychological impairment in late-life depression[J]. Psychol MedPsychol Med, 2012, 42(6): 1195-1202.
doi: 10.1017/S0033291711002352 |
[27] |
Bhatia KD, Henderson LA, Hsu E, et al.
Reduced integrity of the uncinate fasciculus and cingulum in depression: a stem-by-stem analysis[J]. J Affect DisordJ Affect Disord, 2018, 235: 220-228.
doi: 10.1016/j.jad.2018.04.055 |
[28] |
Sexton CE, Mackay CE, Ebmeier KP.
A systematic review and meta-analysis of magnetic resonance imaging studies in late-life depression[J]. Am J Geriatr PsychiatryAm J Geriatr Psychiatry, 2013, 21(2): 184-195.
doi: 10.1016/j.jagp.2012.10.019 |
[29] |
McTeague LM, Goodkind MS, Etkin A.
Transdiagnostic impairment of cognitive control in mental illness[J]. J Psychiatr ResJ Psychiatr Res, 2016, 83: 37-46.
doi: 10.1016/j.jpsychires.2016.08.001 |
[30] |
Arnone D, Job D, Selvaraj S, et al.
Computational meta-analysis of statistical parametric maps in major depression[J]. Hum Brain MappHum Brain Mapp, 2016, 37(4): 1393-1404.
doi: 10.1002/hbm.23108 |
[31] |
Fu CHY, Fan Y, Davatzikos C.
Widespread morphometric abnormalities in major depression: neuroplasticity and potential for biomarker development[J]. Neuroimaging Clin N AmNeuroimaging Clin N Am, 2020, 30(1): 85-95.
doi: 10.1016/j.nic.2019.09.008 |
[32] |
Butters MA, Becker JT, Nebes RD, et al.
Changes in cognitive functioning following treatment of late-life depression[J]. Am J PsychiatryAm J Psychiatry, 2000, 157(12): 1949-1954.
doi: 10.1176/appi.ajp.157.12.1949 |