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Mobile application leads to psychological improvement and correlated neuroimmune function change in subjective cognitive decline

Mobile application leads to psychological improvement and correlated neuroimmune function change in subjective cognitive decline
  • Molinuevo, J. L. et al. Implementation of subjective cognitive decline criteria in research studies. Alzheimer’s Dement. 13, 296–311 (2017).

    Article 

    Google Scholar 

  • Si, T., Xing, G. & Han, Y. Subjective cognitive decline and related cognitive deficits. Front. Neurol. 11, 274 (2020).

  • Kuhn, E. et al. Subjective cognitive decline: opposite links to neurodegeneration across the Alzheimer’s continuum. Brain Commun. 3, fcab199 (2021).

  • Mitchell, A. J., Beaumont, H., Ferguson, D., Yadegarfar, M. & Stubbs, B. Risk of dementia and mild cognitive impairment in older people with subjective memory complaints: meta-analysis. Acta Psychiatr. Scand.130, 439–451 (2014).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • An, R. et al. Predictors of progression from subjective cognitive decline to objective cognitive impairment: a systematic review and meta-analysis of longitudinal studies. Int. J. Nurs. Stud. 149, 104629 (2024).

    Article 
    PubMed 

    Google Scholar 

  • Desai, R. et al. Affective symptoms and risk of progression to mild cognitive impairment or dementia in subjective cognitive decline: a systematic review and meta-analysis. Ageing Res. Rev. 71, 101419 (2021).

    Article 
    PubMed 

    Google Scholar 

  • Srisurapanont, M., Suttajit, S., Eurviriyanukul, K. & Varnado, P. Discrepancy between objective and subjective cognition in adults with major depressive disorder. Sci. Rep. 7, 3901 (2017).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Formánek, T. et al. Trajectories of depressive symptoms and associated patterns of cognitive decline. Sci. Rep. 10, 20888 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Corrigan, M., O’Rourke, A. M., Moran, B., Fletcher, J. M. & Harkin, A. Inflammation in the pathogenesis of depression: a disorder of neuroimmune origin. Neuronal Signal. 7, NS20220054 (2023).

  • Doney, E., Cadoret, A., Dion-Albert, L., Lebel, M. & Menard, C. Inflammation-driven brain and gut barrier dysfunction in stress and mood disorders. Eur. J. Neurosci. 55, 2851–2894 (2022).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Hassamal, S. Chronic stress, neuroinflammation, and depression: an overview of pathophysiological mechanisms and emerging anti-inflammatories. Front. Psychiatry 14, 1130989 (2023).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Troubat, R. et al. Neuroinflammation and depression: a review. Eur. J. Neurosci. 53, 151–171 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Fard, M. T., Savage, K. M. & Stough, C. K. Peripheral inflammation marker relationships to cognition in healthy older adults–a systematic review. Psychoneuroendocrinology 144, 105870 (2022).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Schwartz, M. & Cahalon, L. The vicious cycle governing the brain–immune system relationship in neurodegenerative diseases. Curr. Opin. Immunol. 76, 102182 (2022).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Guo, Z. et al. Abnormal changes in functional connectivity between the amygdala and frontal regions are associated with depression in Alzheimer’s disease. Neuroradiology 60, 1315–1322 (2018).

    Article 
    PubMed 

    Google Scholar 

  • Rosenberg, P. B., Nowrangi, M. A. & Lyketsos, C. G. Neuropsychiatric symptoms in Alzheimer’s disease: what might be associated brain circuits?. Mol. Asp. Med. 43, 25–37 (2015).

    Article 

    Google Scholar 

  • Yang, T. et al. Abnormal functional connectivity of the amygdala in mild cognitive impairment patients with depression symptoms revealed by resting-state fMRI. Front. Psychiatry 12, 533428 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Mulders, P. C., van Eijndhoven, P. F., Schene, A. H., Beckmann, C. F. & Tendolkar, I. Resting-state functional connectivity in major depressive disorder: a review. Neurosci. Biobehav. Rev. 56, 330–344 (2015).

    Article 
    PubMed 

    Google Scholar 

  • Ochsner, K. N. & Gross, J. J. The cognitive control of emotion. Trends Cogn. Sci. 9, 242–249 (2005).

    Article 
    PubMed 

    Google Scholar 

  • Ochsner, K. N., Silvers, J. A. & Buhle, J. T. Functional imaging studies of emotion regulation: a synthetic review and evolving model of the cognitive control of emotion. Ann. N. Y. Acad. Sci. 1251, E1–E24 (2012).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Menon, V. & Uddin, L. Q. Saliency, switching, attention and control: a network model of insula function. Brain Struct. Funct. 214, 655–667 (2010).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Zugman, A., Jett, L., Antonacci, C., Winkler, A. M. & Pine, D. S. A systematic review and meta-analysis of resting-state fMRI in anxiety disorders: need for data sharing to move the field forward. J. Anxiety Dis. 99, 102773 (2023).

  • Yang, M., Tsai, S.-J. & Li, C.-S. R. Concurrent amygdalar and ventromedial prefrontal cortical responses during emotion processing: a meta-analysis of the effects of valence of emotion and passive exposure versus active regulation. Brain Struct. Funct. 225, 345–363 (2020).

    Article 
    PubMed 

    Google Scholar 

  • Koenigs, M. & Grafman, J. The functional neuroanatomy of depression: distinct roles for ventromedial and dorsolateral prefrontal cortex. Behavioural Brain Res. 201, 239–243 (2009).

    Article 

    Google Scholar 

  • Posner, J. et al. Antidepressants normalize the default mode network in patients with dysthymia. JAMA psychiatry 70, 373–382 (2013).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Dichter, G. S., Gibbs, D. & Smoski, M. J. A systematic review of relations between resting-state functional-MRI and treatment response in major depressive disorder. J. Affect. Disord. 172, 8–17 (2015).

    Article 
    PubMed 

    Google Scholar 

  • Harrison, N. A. et al. Inflammation causes mood changes through alterations in subgenual cingulate activity and mesolimbic connectivity. Biol. Psychiatry 66, 407–414 (2009).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Marsland, A. L. et al. Systemic inflammation and resting state connectivity of the default mode network. Brain, Behav. Immun. 62, 162–170 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Rolls, A. Immunoception: the insular cortex perspective. Cell. Mol. Immunol. 20, 1270–1276 (2023).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Dhalwani, N. N. et al. Association between polypharmacy and falls in older adults: a longitudinal study from England. BMJ open 7, e016358 (2017).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Kok, R. M. & Reynolds, C. F. Management of depression in older adults: a review. Jama 317, 2114–2122 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Andreescu, C. & Varon, D. New research on anxiety disorders in the elderly and an update on evidence-based treatments. Curr. Psychiatry Rep. 17, 1–7 (2015).

    Article 

    Google Scholar 

  • Sheng, C. et al. Advances in non-pharmacological interventions for subjective cognitive decline: A systematic review and meta-analysis. J. Alzheimer’s Dis. 77, 903–920 (2020).

    Article 
    CAS 

    Google Scholar 

  • Yu, X.-H. et al. Effects of non-pharmacological interventions for adults with subjective cognitive decline: a network meta-analysis and component network meta-analysis. BMC Med. 22, 272 (2024).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Bhome, R., Berry, A. J., Huntley, J. D. & Howard, R. J. Interventions for subjective cognitive decline: systematic review and meta-analysis. BMJ Open 8, e021610 (2018).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Cuijpers, P., Karyotaki, E., de Wit, L. & Ebert, D. D. The effects of fifteen evidence-supported therapies for adult depression: a meta-analytic review. Psychother. Res. 30, 279–293 (2020).

    Article 
    PubMed 

    Google Scholar 

  • Zhang, D., Lee, E. K. P., Mak, E. C. W., Ho, C. Y. & Wong, S. Y. S. Mindfulness-based interventions: an overall review. Br. Med. Bull. 138, 41–57 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Rigabert, A. et al. Effectiveness of online psychological and psychoeducational interventions to prevent depression: Systematic review and meta-analysis of randomized controlled trials. Clin. Psychol. Rev. 82, 101931 (2020).

    Article 
    PubMed 

    Google Scholar 

  • Knowles, M. M., Foden, P., El-Deredy, W. & Wells, A. A systematic review of efficacy of the attention training technique in clinical and nonclinical samples. J. Clin. Psychol. 72, 999–1025 (2016).

    Article 
    PubMed 

    Google Scholar 

  • Tursi, M. F. D. S., Baes, C. V. W., Camacho, F. R. D. B., Tofoli, S. M. D. C. & Juruena, M. F. Effectiveness of psychoeducation for depression: a systematic review. Aust. N.Z. J. Psychiatry 47, 1019–1031 (2013).

    Article 
    PubMed 

    Google Scholar 

  • Dunn, T. J. & Dimolareva, M. The effect of mindfulness-based interventions on immunity-related biomarkers: a comprehensive meta-analysis of randomised controlled trials. Clin. Psychol. Rev. 92, 102124 (2022).

    Article 
    PubMed 

    Google Scholar 

  • Shields, G. S., Spahr, C. M. & Slavich, G. M. Psychosocial interventions and immune system function: a systematic review and meta-analysis of randomized clinical trials. JAMA psychiatry 77, 1031–1043 (2020).

    Article 
    PubMed 

    Google Scholar 

  • Frank, H. E. et al. Mindfulness-based stress reduction health insurance coverage: if, how, and when? An integrated knowledge translation (ikt) delphi key informant analysis. Mindfulness 15, 1220–1233 (2024).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Shepardson, R. L. et al. Barriers to and facilitators of using evidence-based, cognitive–behavioral anxiety interventions in integrated primary care practice. Psychol. Serv. 20, 709 (2023).

    Article 
    PubMed 

    Google Scholar 

  • Greenwood, H., Albarqouni, L. & Thomas, R. Common barriers and enablers to the use of non-drug interventions for managing common chronic conditions in primary. BMC Prime Care. 25, 108 (2022).

  • Ferrante, M., Esposito, L. E. & Stoeckel, L. E. From palm to practice: prescription digital therapeutics for mental and brain health at the National Institutes of Health. Front. Psychiatry 15, 1433438 (2024).

  • Orsolini, L., Longo, G. & Volpe, U. Practical application of digital therapeutics in people with mood disorders. Curr. Opin. Psychiatry 37, 9–17 (2024).

    Article 
    PubMed 

    Google Scholar 

  • Fortuna, K. L. et al. Digital interventions for depression and anxiety in older adults: a systematic review of randomised controlled trials. Lancet Health Longivety. 27 1277−1285 (2019).

  • Cabreira, V., Wilkinson, T., Frostholm, L., Stone, J. & Carson, A. Systematic review and meta-analysis of standalone digital interventions for cognitive symptoms in people without dementia. npj Digital Med. 7, 278 (2024).

    Article 

    Google Scholar 

  • Abbadessa, G. et al. Digital therapeutics in neurology. J. Neurol. 269, 1209–1224 (2022).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Catalogna, M. et al. Brain connectivity correlates of the impact of a digital intervention for individuals with subjective cognitive decline on depression and IL-18. Sci. Rep. 15, 6863 (2025).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Aggius-Vella, E., Chebat, D.-R., Maidenbaum, S. & Amedi, A. Activation of human visual area V6 during egocentric navigation with and without visual experience. Curr. Biol. 33, 1211–1219.e1215 (2023).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Amedi, A., Shelly, S., Saporta, N. & Catalogna, M. Perceptual learning and neural correlates of virtual navigation in subjective cognitive decline: a pilot study. iScience 27, 111411(2024).

  • Menon, V. Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn. Sci. 15, 483–506 (2011).

    Article 
    PubMed 

    Google Scholar 

  • Dantzer, R. Neuroimmune interactions: from the brain to the immune system and vice versa. Physiol. Rev. 98, 477–504 (2018).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Heppner, W. L. & Shirk, S. D. Mindful moments: a review of brief, low-intensity mindfulness meditation and induced mindful states. Soc. Personal. Psychol. Compass 12, e12424 (2018).

    Article 

    Google Scholar 

  • Lahtinen, O., Aaltonen, J., Kaakinen, J., Franklin, L. & Hyönä, J. The effects of app-based mindfulness practice on the well-being of university students and staff. Curr. Psychol. 42, 4412–4421 (2023).

    Article 
    PubMed 

    Google Scholar 

  • Gamoran, A. & Doron, G. Effectiveness of brief daily training using a mobile app in reducing obsessive compulsive disorder (OCD) symptoms: examining real world data of “OCD. app-anxiety, mood & sleep”. J. Obsessive Compuls. Relat. Disord. 36, 100782 (2023).

    Article 

    Google Scholar 

  • Hallis, L., Cameli, L., Bekkouche, N. S. & Knäuper, B. Combining cognitive therapy with acceptance and commitment therapy for depression: a group therapy feasibility study. J. Cogn. Psychother. 31, 171–190 (2017).

    Article 
    PubMed 

    Google Scholar 

  • Fresco, D. M. & Mennin, D. S. All together now: Utilizing common functional change principles to unify cognitive behavioral and mindfulness-based therapies. Curr. Opin. Psychol. 28, 65–70 (2019).

    Article 
    PubMed 

    Google Scholar 

  • Pascual-Leone, A., Amedi, A., Fregni, F. & Merabet, L. B. J. A. R. N. Plast. Hum. Brain Cortex 28, 377–401 (2005).

    CAS 

    Google Scholar 

  • Newhouse, P., Morimoto, S., Vega, J., Manning, K. & Conley, A. Digital therapeutics for geriatric psychiatry: from laboratory to clinic. Am. J. Geriatr. Psychiatry 32, S32–S33 (2024).

    Article 

    Google Scholar 

  • Forbes, A., Keleher, M. R., Venditto, M. & DiBiasi, F. Assessing patient adherence to and engagement with digital interventions for depression in clinical trials: systematic literature review. J. Med. Internet Res. 25, e43727 (2023).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Moulton, C. D. et al. Activation of the interleukin-23/Th17 axis in major depression: a systematic review and meta-analysis. Eur. Arch. Psychiatry Clin. Neurosci. (2024).

  • Yao, L. et al. Tumor necrosis factor-α variations in patients with major depressive disorder before and after antidepressant treatment. Front. Psychiatry 11, 518837 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Osimo, E. F. et al. Inflammatory markers in depression: a meta-analysis of mean differences and variability in 5,166 patients and 5,083 controls. Brain, Behav., Immun. 87, 901–909 (2020).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Ballesio, A., Zagaria, A., Vacca, M., Pariante, C. M. & Lombardo, C. Comparative efficacy of psychological interventions on immune biomarkers: a systematic review and network meta-analysis (NMA). Brain, Behav. Immun. 111, 424–435 (2023).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Alrabadi, L. S. et al. Mindfulness-based stress reduction may decrease stress, disease activity, and inflammatory cytokine levels in patients with autoimmune hepatitis. JHEP Rep. 4, 100450 (2022).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Walsh, E., Eisenlohr-Moul, T. & Baer, R. Brief mindfulness training reduces salivary IL-6 and TNF-α in young women with depressive symptomatology. J. Consult. Clin. Psychol. 84, 887 (2016).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Halpin, S. J. et al. Postdischarge symptoms and rehabilitation needs in survivors of COVID-19 infection: a cross-sectional evaluation. J. Med. Virol. 23, 1013−1022

  • Del Grande da Silva, G. et al. Pro-inflammatory cytokines and psychotherapy in depression: Results from a randomized clinical trial. J. Psychiatr. Res. 75, 57–64 (2016).

    Article 
    PubMed 

    Google Scholar 

  • Dortaj, A., Moghadasi, A. N., Dehkordi, M. A. & Alipour, A. The comparison of the effectiveness of cognitive-behavioral stress management training and acceptance and commitment therapy on interleukin 12 in patients with multiple sclerosis. Int. J. Appl. Behav. Sci. 6, 39–50 (2019).

    Google Scholar 

  • Herman, J. P. Neural control of chronic stress adaptation. Front. Behav. Neurosci. 7, 61 (2013).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Herman, J. P. et al. Regulation of the hypothalamic-pituitary-adrenocortical stress response. Compr. Physiol. 6, 603 (2016).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Miller, G. E., Cohen, S. & Ritchey, A. K. Chronic psychological stress and the regulation of pro-inflammatory cytokines: a glucocorticoid-resistance model. Health Psychol. 21, 531 (2002).

    Article 
    PubMed 

    Google Scholar 

  • Liu, Y.-Z., Wang, Y.-X. & Jiang, C.-L. Inflammation: The common pathway of stress-related diseases. Front. Hum. Neurosci.11, 316 (2017).

  • Kann, O., Almouhanna, F. & Chausse, B. Interferon γ: a master cytokine in microglia-mediated neural network dysfunction and neurodegeneration. Trends Neurosci. 45, 913–927 (2022).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Baruch, K. et al. Aging-induced type I interferon response at the choroid plexus negatively affects brain function. Science 346, 89–93 (2014).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Yang, H. S. et al. Plasma IL-12/IFN-γ axis predicts cognitive trajectories in cognitively unimpaired older adults. Alzheimer’s Dement. 18, 645–653 (2022).

    Article 
    CAS 

    Google Scholar 

  • Kunis, G. et al. IFN-γ-dependent activation of the brain’s choroid plexus for CNS immune surveillance and repair. Brain 136, 3427–3440 (2013).

    Article 
    PubMed 

    Google Scholar 

  • Li, J., Kuang, S., Liu, Y., Wu, Y. & Li, H. Structural and functional brain alterations in subthreshold depression: a multimodal coordinate-based meta-analysis. Hum. Brain Mapp. 45, e26702 (2024).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Li, R., Ma, Z., Yu, J., He, Y. & Li, J. Altered local activity and functional connectivity of the anterior cingulate cortex in elderly individuals with subthreshold depression. Psychiatry Res. Neuroimag. 222, 29–36 (2014).

    Article 

    Google Scholar 

  • Guo, W. et al. Decreased interhemispheric resting-state functional connectivity in first-episode, drug-naive major depressive disorder. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 41, 24–29 (2013).

    Article 

    Google Scholar 

  • Veer, I. M. et al. Whole brain resting-state analysis reveals decreased functional connectivity in major depression. Front. Syst. Neurosci. 4, 41 (2010).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Guo, W. et al. Decreased insular connectivity in drug-naive major depressive disorder at rest. J. Affect. Disord. 179, 31–37 (2015).

    Article 
    PubMed 

    Google Scholar 

  • Felger, J. C. Imaging the role of inflammation in mood and anxiety-related disorders. Curr. Neuropharmacol. 16, 533–558 (2018).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Koren, T. et al. Insular cortex neurons encode and retrieve specific immune responses. Cell 184, 5902–5915.e5917 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Patterson, B., Boyle, M. H., Kivlenieks, M. & Van Ameringen, M. The use of waitlists as control conditions in anxiety disorders research. J. Psychiatr. Res. 83, 112–120 (2016).

    Article 
    PubMed 

    Google Scholar 

  • Bos, E. et al. Challenges with the use of digital sham: systematic review and recommendations. J. Med. Internet Res. 25, e44764 (2023).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Lutz, J., Offidani, E., Taraboanta, L., Lakhan, S. E. & Campellone, T. R. Appropriate controls for digital therapeutic clinical trials: a narrative review of control conditions in clinical trials of digital therapeutics (DTx) deploying psychosocial, cognitive, or behavioral content. Front. Digital Health 4, 823977 (2022).

    Article 

    Google Scholar 

  • Jessen, F. et al. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer’s disease. Alzheimers Dement. 10, 844–852 (2014).

    Article 
    PubMed 

    Google Scholar 

  • Ren, P. & Klausen, S. H. Smartphone use, intergenerational support and older adults’ wellbeing. Curr. Psychol. 43, 407–424 (2024).

    Article 

    Google Scholar 

  • Gelles-Watnick, R. Americans’ use of mobile technology and home broadband. Pew Res. Center (2024).

  • Fulop, T. et al. Immunology of aging: the birth of inflammaging. Clin. Rev. Allergy Immunol. 64, 109−122 (2021).

  • Rea, I. M. et al. Age and age-related diseases: role of inflammation triggers and cytokines. Front. Immunol. 9, 586 (2018).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Schwartz, M. & Colaiuta, S. P. Boosting peripheral immunity to fight neurodegeneration in the brain. Trends Immunol. 45, 760−767 (2024).

  • Yao, Y. & Tsirka, S. E. Monocyte chemoattractant protein-1 and the blood–brain barrier. Cell. Mol. life Sci. 71, 683–697 (2014).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Olmos, G. & Lladó, J. Tumor necrosis factor alpha: a link between neuroinflammation and excitotoxicity. Med. Inflamm. 2014, 861231 (2014).

    Article 

    Google Scholar 

  • Nitsch, L., Schneider, L., Zimmermann, J. & Müller, M. Microglia-Derived interleukin 23: a crucial cytokine in Alzheimer’s disease?. Front. Neurol. 12, 639353 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Milovanovic, J. et al. Interleukin-17 in chronic inflammatory neurological diseases. Front. Immunol. 11, 947 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Castellani, G., Croese, T., Peralta Ramos, J. M. & Schwartz, M. Transforming the understanding of brain immunity. Science 380, eabo7649 (2023).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Palanica, A., Docktor, M. J., Lieberman, M. & Fossat, Y. The need for artificial intelligence in digital therapeutics. Digital Biomark. 4, 21–25 (2020).

    Article 

    Google Scholar 

  • Lee, E. E. et al. Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom. Biol. Psychiatry. Cogn. Neurosci. Neuroimaging 6, 856–864 (2021).

    PubMed 
    PubMed Central 

    Google Scholar 

  • Biskupiak, Z., Ha, V. V., Rohaj, A. & Bulaj, G. Digital therapeutics for improving effectiveness of pharmaceutical drugs and biological products: preclinical and clinical studies supporting development of drug+ digital combination therapies for chronic diseases. J. Clin. Med. 13, 403 (2024).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Alrouji, M., Al-Kuraishy, H. M., Al-Gareeb, A. I., Saad, H. M. & Batiha, G. E.-S. A story of the potential effect of non-steroidal anti-inflammatory drugs (NSAIDs) in Parkinson’s disease: beneficial or detrimental effects. Inflammopharmacology 31, 673–688 (2023).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Husain, M. I. et al. Minocycline as an adjunct for treatment-resistant depressive symptoms: a pilot randomised placebo-controlled trial. J. Psychopharmacol. 31, 1166–1175 (2017).

    Article 
    CAS 
    PubMed 

    Google Scholar 

  • Zappavigna, S. et al. Anti-inflammatory drugs as anticancer agents. Int. J. Mol. Sci. 21, 2605 (2020).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Zsido, A. N., Teleki, S. A., Csokasi, K., Rozsa, S. & Bandi, S. A. Development of the short version of the spielberger state—trait anxiety inventory. Psychiatry Res. 291, 113223 (2020).

    Article 
    PubMed 

    Google Scholar 

  • Jessen, F. et al. The characterisation of subjective cognitive decline. Lancet Neurol. 19, 271–278 (2020).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Cohen, S., Kamarck, T., Mermelstein, R. J. J. o. h. & Behavior, S. A global measure of perceived stress. J. Health Soc. Behav. 24, 385−396 (1983).

  • Lewinsohn, P. M., Seeley, J. R., Roberts, R. E., & Allen, N. B. Center for Epidemiologic Studies Depression Scale (CES-D) as a screening instrument for depression among community-residing older adults. Psychol. Aging 12, 277 (1997).

  • Lamers, S. M., Westerhof, G. J., Bohlmeijer, E. T., ten Klooster, P. M. & Keyes, C. L. Evaluating the psychometric properties of the mental health continuum-short form (MHC-SF). J. Clin. Psychol. 67, 99–110 (2011).

    Article 
    PubMed 

    Google Scholar 

  • Sinclair, V. G. & Wallston, K. A. The development and psychometric evaluation of the brief resilient coping scale. Assessment 11, 94–101 (2004).

    Article 
    PubMed 

    Google Scholar 

  • Feinberg, D. A. et al. Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging. PloS ONE 5, e15710 (2010).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Moeller, S. et al. Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI. Magn. Reson. Med. 63, 1144–1153 (2010).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Whitfield-Gabrieli, S. & Nieto-Castanon, A. Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connect.2, 125–141 (2012).

    Article 
    PubMed 

    Google Scholar 

  • Behzadi, Y., Restom, K., Liau, J. & Liu, T. T. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. NeuroImage 37, 90–101 (2007).

    Article 
    PubMed 

    Google Scholar 

  • Glasser, M. F. et al. The human connectome project’s neuroimaging approach. Nat. Neurosci. 19, 1175–1187 (2016).

  • Huang, C.-C., Rolls, E. T., Feng, J. & Lin, C.-P. An extended Human Connectome Project multimodal parcellation atlas of the human cortex and subcortical areas. Brain Struct. Funct. 227, 763–778 (2022).

    Article 
    CAS 
    PubMed 

    Google Scholar 

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