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Research Article

Predictive values of pre-treatment brain age models to rTMS effects in neurocognitive disorder with depression: Secondary analysis of a randomised sham-controlled clinical trial

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Pages 38-52 | Received 18 Jan 2024, Accepted 21 Jun 2024, Published online: 04 Jul 2024

References

  • American Psychiatric Association. 2013. Diagnostic and statistical manual of mental disorders (DSM-5®). Washington: American Psychiatric Pub.
  • Bacas E, Kahhalé I, Raamana PR, Pablo JB, Anand AS, Hanson JL. 2023. Probing multiple algorithms to calculate brain age: examining reliability, relations with demographics, and predictive power. Hum Brain Mapp. 44(9):3481–3492. doi: 10.1002/hbm.26292.
  • Baeken C, van Beek V, Vanderhasselt MA, Duprat R, Klooster D. 2021. Cortical thickness in the right anterior cingulate cortex relates to clinical response to left prefrontal accelerated intermittent theta burst stimulation: an exploratory study. Neuromodulation. 24(5):938–949. doi: 10.1111/ner.13380.
  • Ballester PL, Romano MT, de Azevedo Cardoso T, Hassel S, Strother SC, Kennedy SH, Frey BN. 2022. Brain age in mood and psychotic disorders: a systematic review and meta‐analysis. Acta Psychiatr Scand. 145(1):42–55. doi: 10.1111/acps.13371.
  • Berk M, Conus P, Kapczinski F, Andreazza AC, Yücel M, Wood SJ, Pantelis C, Malhi GS, Dodd S, Bechdolf A, et al. 2010. From neuroprogression to neuroprotection: implications for clinical care. Med J Aust. 193(S4):S36–S40.
  • Biondo F, Jewell A, Pritchard M, Aarsland D, Steves CJ, Mueller C, Cole JH. 2022. Brain-age is associated with progression to dementia in memory clinic patients. Neuroimage Clin. 36:103175. doi: 10.1016/j.nicl.2022.103175.
  • Buch ER, Johnen VM, Nelissen N, O'Shea J, Rushworth MF. 2011. Noninvasive associative plasticity induction in a corticocortical pathway of the human brain. J Neurosci. 31(48):17669–17679. doi: 10.1523/JNEUROSCI.1513-11.2011.
  • Byers AL, Yaffe K. 2011. Depression and risk of developing dementia. Nat Rev Neurol. 7(6):323–331. doi: 10.1038/nrneurol.2011.60.
  • Christman S, Bermudez C, Hao L, Landman BA, Boyd B, Albert K, Woodward N, Shokouhi S, Vega J, Andrews P, et al. 2020. Accelerated brain aging predicts impaired cognitive performance and greater disability in geriatric but not midlife adult depression. Transl Psychiatry. 10(1):317. doi: 10.1038/s41398-020-01004-z.
  • Cole JH, Marioni RE, Harris SE, Deary IJ. 2019. Brain age and other bodily ‘ages’: implications for neuropsychiatry. Mol Psychiatry. 24(2):266–281. doi: 10.1038/s41380-018-0098-1.
  • Cole JH, Raffel J, Friede T, Eshaghi A, Brownlee WJ, Chard D, De Stefano N, Enzinger C, Pirpamer L, Filippi M, et al. 2020. Longitudinal assessment of multiple sclerosis with the brain‐age paradigm. Ann Neurol. 88(1):93–105. doi: 10.1002/ana.25746.
  • Cole JH. 2020. Multimodality neuroimaging brain-age in UK biobank: relationship to biomedical, lifestyle, and cognitive factors. Neurobiol Aging. 92:34–42. doi: 10.1016/j.neurobiolaging.2020.03.014.
  • de Lange A-MG, Anatürk M, Rokicki J, Han LKM, Franke K, Alnaes D, Ebmeier KP, Draganski B, Kaufmann T, Westlye LT, et al. 2022. Mind the gap: performance metric evaluation in brain‐age prediction. Hum Brain Mapp. 43(10):3113–3129. doi: 10.1002/hbm.25837.
  • Dintica CS, Habes M, Erus G, Simone T, Schreiner P, Yaffe K. 2023. Long-term depressive symptoms and midlife brain age. J Affect Disord. 320:436–441. doi: 10.1016/j.jad.2022.09.164.
  • Fabre I, Galinowski A, Oppenheim C, Gallarda T, Meder JF, De Montigny C, Olié JP, Poirier MF. 2004. Antidepressant efficacy and cognitive effects of repetitive transcranial magnetic stimulation in vascular depression: an open trial. Int J Geriatr Psychiatry. 19(9):833–842. doi: 10.1002/gps.1172.
  • Ferrarelli F. 2022. Is neuroplasticity key to treatment response in depression? Maybe so. Am J Psychiatry. 179(7):451–453. doi: 10.1176/appi.ajp.20220432.
  • Figiel GS, Epstein C, McDonald WM, Amazon-Leece J, Figiel L, Saldivia A, Glover S. 1998. The use of rapid-rate transcranial magnetic stimulation (rTMS) in refractory depressed patients. J Neuropsychiatry Clin Neurosci. 10(1):20–25. doi: 10.1176/jnp.10.1.20.
  • Fitzgerald PB, Fountain S, Daskalakis ZJ. 2006. A comprehensive review of the effects of rTMS on motor cortical excitability and inhibition. Clin Neurophysiol. 117(12):2584–2596. doi: 10.1016/j.clinph.2006.06.712.
  • Fitzgerald PB, Hoy K, McQueen S, Maller JJ, Herring S, Segrave R, Bailey M, Been G, Kulkarni J, Daskalakis ZJ. 2009. A randomized trial of rTMS targeted with MRI based neuro-navigation in treatment-resistant depression. Neuropsychopharmacology. 34(5):1255–1262. doi: 10.1038/npp.2008.233.
  • Fox MD, Buckner RL, White MP, Greicius MD, Pascual-Leone A. 2012. Efficacy of transcranial magnetic stimulation targets for depression is related to intrinsic functional connectivity with the subgenual cingulate. Biol Psychiatry. 72(7):595–603. doi: 10.1016/j.biopsych.2012.04.028.
  • Franke K, Gaser C. 2012. Longitudinal changes in individual BrainAGE in healthy aging, mild cognitive impairment, and Alzheimer’s disease. GeroPsych. 25(4):235–245. doi: 10.1024/1662-9647/a000074.
  • Franke K, Ziegler G, Klöppel S, Gaser C. 2010. Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters. Neuroimage. 50(3):883–892. doi: 10.1016/j.neuroimage.2010.01.005.
  • Gaser C, Franke K, Klöppel S, Koutsouleris N, Sauer H. 2013. BrainAGE in mild cognitive impaired patients: predicting the conversion to Alzheimer’s disease. PLOS One. 8(6):e67346. doi: 10.1371/journal.pone.0067346.
  • Ge R, Humaira A, Gregory E, Alamian G, MacMillan EL, Barlow L, Todd R, Nestor S, Frangou S, Vila-Rodriguez F. 2022. Predictive value of acute neuroplastic response to rTMS in treatment outcome in depression: a concurrent TMS-fMRI trial. Am J Psychiatry. 179(7):500–508. doi: 10.1176/appi.ajp.21050541.
  • Gorges M, Kunz MS, Müller HP, Liepelt‐Scarfone I, Storch A, Dodel R, Hilker-Roggendorf R, Berg D, Kalbe E, Braak H, et al. 2020. Longitudinal brain atrophy distribution in advanced Parkinson’s disease: what makes the difference in “cognitive status” converters? Hum Brain Mapp. 41(6):1416–1434. doi: 10.1002/hbm.24884.
  • Han LK, Dinga R, Hahn T, Ching CR, Eyler LT, Aftanas L, Aghajani M, Aleman A, Baune BT, Berger K, et al. 2021. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group. Mol Psychiatry. 26(9):5124–5139. doi: 10.1038/s41380-020-0754-0.
  • Hopman HJ, Chan SMS, Chu WCW, Lu H, Tse CY, Chau SWH, Lam LCW, Mak ADP, Neggers SFW. 2021. Personalized prediction of transcranial magnetic stimulation clinical response in patients with treatment-refractory depression using neuroimaging biomarkers and machine learning. J Affect Disord. 290:261–271. doi: 10.1016/j.jad.2021.04.081.
  • Huppertz HJ, Kröll-Seger J, Klöppel S, Ganz RE, Kassubek J. 2010. Intra-and interscanner variability of automated voxel-based volumetry based on a 3D probabilistic atlas of human cerebral structures. Neuroimage. 49(3):2216–2224. doi: 10.1016/j.neuroimage.2009.10.066.
  • Jha MK, Fatt CC, Minhajuddin A, Mayes TL, Trivedi MH. 2023. Accelerated brain aging in adults with major depressive disorder predicts poorer outcome with sertraline: findings from the EMBARC study. Biol Psychiatry Cogn Neurosci Neuroimaging. 8(4):462–470. doi: 10.1016/j.bpsc.2022.09.006.
  • Karim HT, Aizenstein HJ, Mizuno A, Ly M, Andreescu C, Wu M, Hong CH, Roh HW, Park B, Lee H, et al. 2022. Independent replication of advanced brain age in mild cognitive impairment and dementia: detection of future cognitive dysfunction. Mol Psychiatry. 27(12):5235–5243. doi: 10.1038/s41380-022-01728-y.
  • Karim HT, Ly M, Yu G, Krafty R, Tudorascu DL, Aizenstein HJ, Andreescu C. 2021. Aging faster: worry and rumination in late life are associated with greater brain age. Neurobiol Aging. 101:13–21. doi: 10.1016/j.neurobiolaging.2021.01.009.
  • Kirsch I. 2019. Placebo effect in the treatment of depression and anxiety. Front Psychiatry. 10(407):407. doi: 10.3389/fpsyt.2019.00407.
  • Lee J, Burkett BJ, Min HK, Senjem ML, Lundt ES, Botha H, Graff-Radford J, Barnard LR, Gunter JL, Schwarz CG, et al. 2022. Deep learning-based brain age prediction in normal aging and dementia. Nat Aging. 2(5):412–424. doi: 10.1038/s43587-022-00219-7.
  • Li J, Lu H. 2023. MRI‐informed cortical features for brain age prediction in age‐specific adulthoods. Hum Brain Mapp. 44(2):301–303. doi: 10.1002/hbm.26050.
  • Lu H, Chan SS, Fung AW, Lam LC. 2016. Utility of montreal cognitive assessment (Hong Kong Version) in the diagnosis of mild neurocognitive disorders (NCD): NCD due to Alzheimer disease (NCD-AD) and NCD due to vascular disease (NCD-vascular). J Am Med Dir Assoc. 17(4):366–367. doi: 10.1016/j.jamda.2016.01.008.
  • Lu H, Chan SS, Lam LC. 2019. Localized analysis of normalized distance from scalp to cortex and personalized evaluation (LANDSCAPE): focusing on age-and dementia-specific changes. J Alzheimers Dis. 67(4):1331–1341. doi: 10.3233/JAD-180732.
  • Lu H, Chan SSM, Ma S, Lin C, Mok VCT, Shi L, Wang D, Mak ADP, Lam LCW. 2022. Clinical and radiomic features for predicting the treatment response of repetitive transcranial magnetic stimulation in major neurocognitive disorder: results from a randomized controlled trial. Hum Brain Mapp. 43(18):5579–5592. doi: 10.1002/hbm.26032.
  • Lu H. 2020. Quantifying age-associated cortical complexity of left dorsolateral prefrontal cortex with multiscale measurements. J Alzheimers Dis. 76(2):505–516. doi: 10.3233/JAD-200102.
  • Lyketsos CG, DelCampo L, Steinberg M, Miles Q, Steele CD, Munro C, Baker AS, Sheppard JME, Frangakis C, Brandt J, et al. 2003. Treating depression in Alzheimer disease: efficacy and safety of sertraline therapy, and the benefits of depression reduction: the DIADS. Arch Gen Psychiatry. 60(7):737–746. doi: 10.1001/archpsyc.60.7.737.
  • Mesulam MM. 1999. Neuroplasticity failure in Alzheimer’s disease: bridging the gap between plaques and tangles. Neuron. 24(3):521–529. doi: 10.1016/s0896-6273(00)81109-5.
  • Mi TM, Garg S, Ba F, Liu AP, Liang PP, Gao LL, Jia Q, Xu EH, Li KC, Piu Chan P, et al. 2020. Repetitive transcranial magnetic stimulation improves Parkinson’s freezing of gait via normalizing brain connectivity. NPJ Parkinsons Dis. 6(1):16. doi: 10.1038/s41531-020-0118-0.
  • Montejo L, Solé B, Jiménez E, Borràs R, Clougher D, Reinares M, Portella MJ, Martinez-Aran A, Vieta E, Bonnín CDM, et al. 2022. Aging in bipolar disorder: cognitive performance and clinical factors based on an adulthood-lifespan perspective. J Affect Disord. 312:292–302. doi: 10.1016/j.jad.2022.06.030.
  • Moylan S, Maes M, Wray NR, Berk M. 2013. The neuroprogressive nature of major depressive disorder: pathways to disease evolution and resistance, and therapeutic implications. Mol Psychiatry. 18(5):595–606. doi: 10.1038/mp.2012.33.
  • Nissim NR, Harvey DY, Haslam C, Friedman L, Bharne P, Litz G, Phillips JS, Cousins KAQ, Xie SX, Grossman M, et al. 2022. Through thick and thin: baseline cortical volume and thickness predict performance and response to transcranial direct current stimulation in primary progressive aphasia. Front Hum Neurosci. 16:907425. doi: 10.3389/fnhum.2022.907425.
  • Pascual-Leone A, Tarazona F, Keenan J, Tormos JM, Hamilton R, Catala MD. 1998. Transcranial magnetic stimulation and neuroplasticity. Neuropsychologia. 37(2):207–217. doi: 10.1016/s0028-3932(98)00095-5.
  • Pieper MJ, Francke AL, van der Steen JT, Scherder EJ, Twisk JW, Kovach CR, Achterberg WP. 2016. Effects of a stepwise multidisciplinary intervention for challenging behavior in advanced dementia: a cluster randomized controlled trial. J Am Geriatr Soc. 64(2):261–269. doi: 10.1111/jgs.13868.
  • Ruiz NAL, Del Ángel DS, Olguín HJ, Silva ML. 2018. Neuroprogression: the hidden mechanism of depression. Neuropsychiatr Dis Treat. 14:2837–2845. doi: 10.2147/NDT.S177973.
  • Rutherford BR, Wall MM, Brown PJ, Choo TH, Wager TD, Peterson BS, Chung S, Kirsch I, Roose SP. 2017. Patient expectancy as a mediator of placebo effects in antidepressant clinical trials. Am J Psychiatry. 174(2):135–142. doi: 10.1176/appi.ajp.2016.16020225.
  • Sanford N, Ge R, Antoniades M, Modabbernia A, Haas SS, Whalley HC, Liisa Galea L, Popescu SG, Cole JH, Frangou S. 2022. Sex differences in predictors and regional patterns of brain age gap estimates. Hum Brain Mapp. 43(15):4689–4698. doi: 10.1002/hbm.25983.
  • Sayar GH, Ozten E, Tan O, Tarhan N. 2013. Transcranial magnetic stimulation for treating depression in elderly patients. Neuropsychiatr Dis Treat. 9:501–504. doi: 10.2147/NDT.S44241.
  • Schreiner AS, Hayakawa H, Morimoto T, Kakuma T. 2003. Screening for late life depression: cut‐off scores for the geriatric depression scale and the Cornell scale for depression in dementia among Japanese subjects. Int J Geriatr Psychiatry. 18(6):498–505. doi: 10.1002/gps.880.
  • Sone D, Beheshti I, Shinagawa S, Niimura H, Kobayashi N, Kida H, Shikimoto R, Noda Y, Nakajima S, Bun S, et al. 2022. Neuroimaging-derived brain age is associated with life satisfaction in cognitively unimpaired elderly: a community-based study. Transl Psychiatry. 12(1):25. doi: 10.1038/s41398-022-01793-5.
  • Takeuchi N, Chuma T, Matsuo Y, Watanabe I, Ikoma K. 2005. Repetitive transcranial magnetic stimulation of contralesional primary motor cortex improves hand function after stroke. Stroke. 36(12):2681–2686. doi: 10.1161/01.STR.0000189658.51972.34.
  • Taylor JR, Williams N, Cusack R, Auer T, Shafto MA, Dixon M, Tyler LK, Cam CAN, Henson RN. 2017. The Cambridge centre for ageing and neuroscience (Cam-CAN) data repository: structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample. Neuroimage. 144(Pt B):262–269. doi: 10.1016/j.neuroimage.2015.09.018.
  • Taylor WD. 2023. Coexisting depression and frailty as an accelerated aging phenotype of late-life depression. Int Psychogeriatr. 35(12):689–691. doi: 10.1017/S1041610223000170.
  • Varghese S, Frey BN, Schneider MA, Kapczinski F, de Azevedo Cardoso T. 2022. Functional and cognitive impairment in the first episode of depression: a systematic review. Acta Psychiatr Scand. 145(2):156–185. doi: 10.1111/acps.13385.
  • Vuksanović V, Staff RT, Ahearn T, Murray AD, Wischik CM. 2019. Cortical thickness and surface area networks in healthy aging, Alzheimer’s disease and behavioral variant fronto-temporal dementia. Int J Neural Syst. 29(6):1850055. doi: 10.1142/S0129065718500557.
  • Wang J, Knol MJ, Tiulpin A, Dubost F, de Bruijne M, Vernooij MW, Adams HHH, Ikram MA, Niessen WJ, Roshchupkin GV. 2019. Gray matter age prediction as a biomarker for risk of dementia. Proc Natl Acad Sci U S A. 116(42):21213–21218. doi: 10.1073/pnas.1902376116.
  • Wong A, Xiong YY, Kwan PW, Chan AY, Lam WW, Wang K, Chu WC, Nyenhuis DL, Nasreddine Z, Wong LK, et al. 2009. The validity, reliability and clinical utility of the Hong Kong Montreal Cognitive Assessment (HK-MoCA) in patients with cerebral small vessel disease. Dement Geriatr Cogn Disord. 28(1):81–87. doi: 10.1159/000232589.
  • Wrigglesworth J, Yaacob N, Ward P, Woods RL, McNeil J, Storey E, Egan G, Murray A, Shah RC, Jamadar SD, et al. 2022. Brain-predicted age difference is associated with cognitive processing in later-life. Neurobiol Aging. 109:195–203. doi: 10.1016/j.neurobiolaging.2021.10.007.
  • Wu Z, Zhong X, Peng Q, Chen B, Zhang M, Zhou H, Mai N, Huang X, Ning Y. 2021. Longitudinal association between cognition and depression in patients with late-life depression: a cross-lagged design study. Front Psychiatry. 12:577058–577058. doi: 10.3389/fpsyt.2021.577058.
  • Zhu JD, Wu YF, Tsai SJ, et al. 2023. Investigating brain aging trajectory deviations in different brain regions of individuals with schizophrenia using multimodal magnetic resonance imaging and brain-age prediction: a multicenter study. Transl Psychiatry. 13(1). doi: 10.1038/s41398-023-02379-5.