Neurofeedback Training For Older Adults
Neurofeedback Training to Improve Prefrontal Functioning in Older Adults With Subclinical Depression and Anxiety: a Randomised Control Trial
1 other identifier
interventional
90
1 country
1
Brief Summary
Symptoms of depression and anxiety are common in older adults and are associated with poor outcomes and the risk of dementia. The prefrontal cortex (PFC) is crucial for emotion regulation. Poor PFC function may underlie subclinical depression and anxiety symptoms in older people, which could progress to clinical conditions. Neurofeedback training based on electroencephalography (EEG) or functional near-infrared spectroscopy (fNIRS) teaches individuals to self-regulate different aspects of brain activity and induce neurocognitive improvements. This proposed project will examine whether prefrontal EEG and fNIRS neurofeedback training programmes can enhance the mood and cognition of older adults with subclinical depression and anxiety.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Feb 2023
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 15, 2023
CompletedFirst Submitted
Initial submission to the registry
April 16, 2023
CompletedFirst Posted
Study publicly available on registry
July 10, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
October 31, 2024
CompletedApril 10, 2024
March 1, 2024
1.7 years
April 16, 2023
April 8, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Mood symptoms (post)
Change in the HADS depression score (The Hospital Anxiety and Depression Scale (HADS) depression score has a minimum value of 0 and a maximum value of 21. Higher scores indicate a worse outcome. A score of 0-7 indicates normal, 8-10 indicates mild depression, 11-14 indicates borderline depression, and 15-21 indicates depression.)
Within 1 week before the first training session, and within 1 week after the last training session
Mood symptoms (follow-up)
Change in the HADS depression score at follow up (The Hospital Anxiety and Depression Scale (HADS) depression score has a minimum value of 0 and a maximum value of 21. Higher scores indicate a worse outcome. A score of 0-7 indicates normal, 8-10 indicates mild depression, 11-14 indicates borderline depression, and 15-21 indicates depression.)
Within 1 week before the first training session, and within 1 month after the last training session
Anxiety symptoms (post)
Change in the HADS anxiety score (The Hospital Anxiety and Depression Scale (HADS) anxiety score has a minimum value of 0 and a maximum value of 21. Higher scores indicate a worse outcome. A score of 0-7 indicates normal, 8-10 indicates mild anxiety, 11-14 indicates borderline anxiety, and 15-21 indicates anxiety.)
Within 1 week before the first training session, and within 1 week after the last training session
Anxiety symptoms (follow-up)
Change in the HADS anxiety score at follow-up (The Hospital Anxiety and Depression Scale (HADS) anxiety score has a minimum value of 0 and a maximum value of 21. Higher scores indicate a worse outcome. A score of 0-7 indicates normal, 8-10 indicates mild anxiety, 11-14 indicates borderline anxiety, and 15-21 indicates anxiety.)
Within 1 week before the first training session, and within 1 month after the last training session
Secondary Outcomes (16)
Stroop (post; RT)
Within 1 week before the first training session, and within 1 week after the last training session
Stroop (follow-up; RT)
Within 1 week before the first training session, and within 1 month after the last training session
Stroop (post; accuracy)
Within 1 week before the first training session, and within 1 week after the last training session
Stroop (follow-up; accuracy)
Within 1 week before the first training session, and within 1 month after the last training session
Stroop (post; fNIRS)
Within 1 week before the first training session, and within 1 week after the last training session
- +11 more secondary outcomes
Study Arms (3)
Sham Group
SHAM COMPARATORDuring training, participants will be asked to follow the instructions on a computer screen and complete five rounds of task. Each round starts with a 30-s rest phase followed by 4.5 min of self-regulation phase. At the rest phase, a fixed cross will appear onscreen, and participants will be instructed to sit still and relax. At the regulation phase, they will be asked to make the person smile (as an intrinsic social reward) but without tips. The intensity of smiling will be manipulated by morphing photographs of a neutral and a happy face and will represent the increase in either frontal alpha asymmetry or frontal oxyhaemoglobin asymmetry. The values at the moment will be compared against the baseline. Participants will undergo a 3-min rest period before and after each training session to track changes in resting-state brain activity. In the sham condition, participants will receive visual feedback based on pre-recordings and/or other participants' recordings.
fNIRS Group
EXPERIMENTALDuring training, participants will be asked to follow the instructions on a computer screen and complete five rounds of task. Each round starts with a 30-s rest phase followed by 4.5 min of self-regulation phase. At the rest phase, a fixed cross will appear onscreen, and participants will be instructed to sit still and relax. At the regulation phase, they will be asked to make the person smile (as an intrinsic social reward) but without tips. The intensity of smiling will be manipulated by morphing photographs of a neutral and a happy face and will represent the increase in either frontal alpha asymmetry or frontal oxyhaemoglobin asymmetry. The values at the moment will be compared against the baseline. Participants will undergo a 3-min rest period before and after each training session to track changes in resting-state brain activity. In the fNIRS condition, participants will receive visual feedback based on their own fNIRS recordings.
EEG Group
EXPERIMENTALDuring training, participants will be asked to follow the instructions on a computer screen and complete five rounds of task. Each round starts with a 30-s rest phase followed by 4.5 min of self-regulation phase. At the rest phase, a fixed cross will appear onscreen, and participants will be instructed to sit still and relax. At the regulation phase, they will be asked to make the person smile (as an intrinsic social reward) but without tips. The intensity of smiling will be manipulated by morphing photographs of a neutral and a happy face and will represent the increase in either frontal alpha asymmetry or frontal oxyhaemoglobin asymmetry. The values at the moment will be compared against the baseline. Participants will undergo a 3-min rest period before and after each training session to track changes in resting-state brain activity. In the EEG condition, participants will receive visual feedback based on their own EEG recordings.
Interventions
For fNIRS to be recorded by the wearable OctaMon+ system (Artinis Medical Systems, The Netherlands), two sources, each surrounded by four detectors positioned approximately 3 cm apart, will be placed on the scalp such that the two channels near the fissure on each side of the head are surrounded F3 and F4. Data will be sampled at 50 Hz.
For EEG to be recorded by the ANT eego rt8 amplifier (ANT Neuro, Hengelo, The Netherlands), electrodes will be placed at Fp1, F3, F4, Fz, Fpz, Cz, GND (ground), lower VEOG, and on the two earlobes (references). Data will be collected at 2,048 Hz.
In the sham condition, participants will receive visual feedback based on pre-recordings and/or other participants' recordings. Participants will undergo a 3-min rest period before and after each training session to track changes in resting-state brain activity within and across sessions.
Eligibility Criteria
You may qualify if:
- (i) age of 60-79 years;
- (ii) right-handedness as assessed using the short form of the Edinburgh Handedness Inventory (Veale, 2014);
- (iii) a moderate or higher score on at least one of the depression and anxiety subscales (but not necessarily both) of the Depression Anxiety Stress Scale-21 (DASS-21), which has been shown to yield reliable and valid scores;
- (iv) no history of neurological or psychiatric disorder;
- (v) no history of traumatic brain injury requiring hospitalisation;
- (vi) not currently using psychotropic medication;
- (vii) ability to read Traditional Chinese text;
- (viii) normal or corrected-to-normal vision; and
- (ix) a score of at least 19 on the Hong Kong Montreal Cognitive Assessment
You may not qualify if:
- does not fulfill any of the above criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Faculty of Health and Social Sciences OF The Hong Kong Polytechnic University
Hong Kong, 000000, Hong Kong
Related Publications (62)
Flint AJ, Rifat SL. Factor structure of the hospital anxiety and depression scale in older patients with major depression. Int J Geriatr Psychiatry. 2002 Feb;17(2):117-23. doi: 10.1002/gps.535.
PMID: 11813272BACKGROUNDGomez, R., Summers, M., Summers, A., Wolf, A., & Summers, J. J. (2014). Depression Anxiety Stress Scales-21: Factor structure and test-retest invariance, and temporal stability and uniqueness of latent factors in older adults. Journal of Psychopathology and Behavioral Assessment, 36(2), 308-317.
BACKGROUNDNorton PJ. Depression Anxiety and Stress Scales (DASS-21): psychometric analysis across four racial groups. Anxiety Stress Coping. 2007 Sep;20(3):253-65. doi: 10.1080/10615800701309279.
PMID: 17999228BACKGROUNDVeale JF. Edinburgh Handedness Inventory - Short Form: a revised version based on confirmatory factor analysis. Laterality. 2014;19(2):164-77. doi: 10.1080/1357650X.2013.783045. Epub 2013 May 10.
PMID: 23659650BACKGROUNDWong A, Xiong YY, Kwan PW, Chan AY, Lam WW, Wang K, Chu WC, Nyenhuis DL, Nasreddine Z, Wong LK, Mok VC. 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. 2009;28(1):81-7. doi: 10.1159/000232589. Epub 2009 Aug 11.
PMID: 19672065BACKGROUNDAdolph D, Margraf J. The differential relationship between trait anxiety, depression, and resting frontal alpha-asymmetry. J Neural Transm (Vienna). 2017 Mar;124(3):379-386. doi: 10.1007/s00702-016-1664-9. Epub 2016 Dec 16.
PMID: 27987054BACKGROUNDBarry RJ, De Blasio FM. EEG differences between eyes-closed and eyes-open resting remain in healthy ageing. Biol Psychol. 2017 Oct;129:293-304. doi: 10.1016/j.biopsycho.2017.09.010. Epub 2017 Sep 21.
PMID: 28943465BACKGROUNDBeaudreau SA, O'Hara R. Late-life anxiety and cognitive impairment: a review. Am J Geriatr Psychiatry. 2008 Oct;16(10):790-803. doi: 10.1097/JGP.0b013e31817945c3.
PMID: 18827225BACKGROUNDBeekman AT, de Beurs E, van Balkom AJ, Deeg DJ, van Dyck R, van Tilburg W. Anxiety and depression in later life: Co-occurrence and communality of risk factors. Am J Psychiatry. 2000 Jan;157(1):89-95. doi: 10.1176/ajp.157.1.89.
PMID: 10618018BACKGROUNDBruder GE, Stewart JW, McGrath PJ. Right brain, left brain in depressive disorders: Clinical and theoretical implications of behavioral, electrophysiological and neuroimaging findings. Neurosci Biobehav Rev. 2017 Jul;78:178-191. doi: 10.1016/j.neubiorev.2017.04.021. Epub 2017 Apr 23.
PMID: 28445740BACKGROUNDBryant C, Jackson H, Ames D. The prevalence of anxiety in older adults: methodological issues and a review of the literature. J Affect Disord. 2008 Aug;109(3):233-50. doi: 10.1016/j.jad.2007.11.008. Epub 2007 Dec 26.
PMID: 18155775BACKGROUNDBuysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213. doi: 10.1016/0165-1781(89)90047-4.
PMID: 2748771BACKGROUNDCui X, Bray S, Reiss AL. Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics. Neuroimage. 2010 Feb 15;49(4):3039-46. doi: 10.1016/j.neuroimage.2009.11.050. Epub 2009 Nov 26.
PMID: 19945536BACKGROUNDCuijpers P, Koole SL, van Dijke A, Roca M, Li J, Reynolds CF 3rd. Psychotherapy for subclinical depression: meta-analysis. Br J Psychiatry. 2014 Oct;205(4):268-74. doi: 10.1192/bjp.bp.113.138784.
PMID: 25274315BACKGROUNDDelpy DT, Cope M, van der Zee P, Arridge S, Wray S, Wyatt J. Estimation of optical pathlength through tissue from direct time of flight measurement. Phys Med Biol. 1988 Dec;33(12):1433-42. doi: 10.1088/0031-9155/33/12/008.
PMID: 3237772BACKGROUNDEhlis, A. C., Barth, B., Hudak, J., Storchak, H., Weber, L., Kimmig, A. C. S., ... & Fallgatter, A. J. (2018). Near-infrared spectroscopy as a new tool for neurofeedback training: Applications in psychiatry and methodological considerations. Japanese Psychological Research, 60(4), 225-241.
BACKGROUNDEtkin A, Buchel C, Gross JJ. The neural bases of emotion regulation. Nat Rev Neurosci. 2015 Nov;16(11):693-700. doi: 10.1038/nrn4044.
PMID: 26481098BACKGROUNDFernandez-Alvarez J, Grassi M, Colombo D, Botella C, Cipresso P, Perna G, Riva G. Efficacy of bio- and neurofeedback for depression: a meta-analysis. Psychol Med. 2022 Jan;52(2):201-216. doi: 10.1017/S0033291721004396. Epub 2021 Nov 15.
PMID: 34776024BACKGROUNDGrahek I, Shenhav A, Musslick S, Krebs RM, Koster EHW. Motivation and cognitive control in depression. Neurosci Biobehav Rev. 2019 Jul;102:371-381. doi: 10.1016/j.neubiorev.2019.04.011. Epub 2019 May 27.
PMID: 31047891BACKGROUNDHaigh EAP, Bogucki OE, Sigmon ST, Blazer DG. Depression Among Older Adults: A 20-Year Update on Five Common Myths and Misconceptions. Am J Geriatr Psychiatry. 2018 Jan;26(1):107-122. doi: 10.1016/j.jagp.2017.06.011. Epub 2017 Jun 16.
PMID: 28735658BACKGROUNDHammond, D. C. (2005). Neurofeedback treatment of depression and anxiety. Journal of Adult Development, 12(2), 131-137.
BACKGROUNDHammond, D. C. (2011). What is neurofeedback: An update. Journal of Neurotherapy, 15(4), 305-336.
BACKGROUNDImbir KK, Duda-Golawska J, Pastwa M, Sobieszek A, Wielgopolan A, Jankowska M, Modzelewska A, Zygierewicz J. Inhibitory control effectiveness can be improved: The role of arousal, subjective significance and origin of words in modified Emotional Stroop Test. PLoS One. 2022 Jun 28;17(6):e0270558. doi: 10.1371/journal.pone.0270558. eCollection 2022.
PMID: 35763510BACKGROUNDKimmig AS, Dresler T, Hudak J, Haeussinger FB, Wildgruber D, Fallgatter AJ, Ehlis AC, Kreifelts B. Feasibility of NIRS-based neurofeedback training in social anxiety disorder: behavioral and neural correlates. J Neural Transm (Vienna). 2019 Sep;126(9):1175-1185. doi: 10.1007/s00702-018-1954-5. Epub 2018 Nov 29.
PMID: 30498952BACKGROUNDKirsch I, Deacon BJ, Huedo-Medina TB, Scoboria A, Moore TJ, Johnson BT. Initial severity and antidepressant benefits: a meta-analysis of data submitted to the Food and Drug Administration. PLoS Med. 2008 Feb;5(2):e45. doi: 10.1371/journal.pmed.0050045.
PMID: 18303940BACKGROUNDKober SE, Spork R, Bauernfeind G, Wood G. Age-related differences in the within-session trainability of hemodynamic parameters: a near-infrared spectroscopy-based neurofeedback study. Neurobiol Aging. 2019 Sep;81:127-137. doi: 10.1016/j.neurobiolaging.2019.05.022. Epub 2019 Jun 5.
PMID: 31280116BACKGROUNDKohl SH, Mehler DMA, Luhrs M, Thibault RT, Konrad K, Sorger B. The Potential of Functional Near-Infrared Spectroscopy-Based Neurofeedback-A Systematic Review and Recommendations for Best Practice. Front Neurosci. 2020 Jul 21;14:594. doi: 10.3389/fnins.2020.00594. eCollection 2020.
PMID: 32848528BACKGROUNDKothe, C. (2014a). Lab Streaming Layer (LSL). Available online at: https://code.google.com/p/labstreaminglayer/
BACKGROUNDLaborda-Sanchez F, Cansino S. The Effects of Neurofeedback on Aging-Associated Cognitive Decline: A Systematic Review. Appl Psychophysiol Biofeedback. 2021 Mar;46(1):1-10. doi: 10.1007/s10484-020-09497-6. Epub 2021 Jan 2.
PMID: 33389281BACKGROUNDLaborde-Lahoz P, El-Gabalawy R, Kinley J, Kirwin PD, Sareen J, Pietrzak RH. Subsyndromal depression among older adults in the USA: prevalence, comorbidity, and risk for new-onset psychiatric disorders in late life. Int J Geriatr Psychiatry. 2015 Jul;30(7):677-85. doi: 10.1002/gps.4204. Epub 2014 Oct 23.
PMID: 25345806BACKGROUNDLee YJ, Kim HG, Cheon EJ, Kim K, Choi JH, Kim JY, Kim JM, Koo BH. The Analysis of Electroencephalography Changes Before and After a Single Neurofeedback Alpha/Theta Training Session in University Students. Appl Psychophysiol Biofeedback. 2019 Sep;44(3):173-184. doi: 10.1007/s10484-019-09432-4.
PMID: 30903394BACKGROUNDLi K, Jiang Y, Gong Y, Zhao W, Zhao Z, Liu X, Kendrick KM, Zhu C, Becker B. Functional near-infrared spectroscopy-informed neurofeedback: regional-specific modulation of lateral orbitofrontal activation and cognitive flexibility. Neurophotonics. 2019 Apr;6(2):025011. doi: 10.1117/1.NPh.6.2.025011. Epub 2019 Jun 8.
PMID: 31930153BACKGROUNDMarzbani H, Marateb HR, Mansourian M. Neurofeedback: A Comprehensive Review on System Design, Methodology and Clinical Applications. Basic Clin Neurosci. 2016 Apr;7(2):143-58. doi: 10.15412/J.BCN.03070208.
PMID: 27303609BACKGROUNDMathersul D, Williams LM, Hopkinson PJ, Kemp AH. Investigating models of affect: relationships among EEG alpha asymmetry, depression, and anxiety. Emotion. 2008 Aug;8(4):560-72. doi: 10.1037/a0012811.
PMID: 18729586BACKGROUNDMeeks TW, Vahia IV, Lavretsky H, Kulkarni G, Jeste DV. A tune in "a minor" can "b major": a review of epidemiology, illness course, and public health implications of subthreshold depression in older adults. J Affect Disord. 2011 Mar;129(1-3):126-42. doi: 10.1016/j.jad.2010.09.015.
PMID: 20926139BACKGROUNDMochcovitch MD, da Rocha Freire RC, Garcia RF, Nardi AE. A systematic review of fMRI studies in generalized anxiety disorder: evaluating its neural and cognitive basis. J Affect Disord. 2014;167:336-42. doi: 10.1016/j.jad.2014.06.041. Epub 2014 Jul 2.
PMID: 25020268BACKGROUNDPeeters F, Oehlen M, Ronner J, van Os J, Lousberg R. Neurofeedback as a treatment for major depressive disorder--a pilot study. PLoS One. 2014 Mar 18;9(3):e91837. doi: 10.1371/journal.pone.0091837. eCollection 2014.
PMID: 24642756BACKGROUNDRichard E, Reitz C, Honig LH, Schupf N, Tang MX, Manly JJ, Mayeux R, Devanand D, Luchsinger JA. Late-life depression, mild cognitive impairment, and dementia. JAMA Neurol. 2013 Mar 1;70(3):374-82. doi: 10.1001/jamaneurol.2013.603.
PMID: 23599941BACKGROUNDRenard, Y., Lotte, F., Gibert, G., Congedo, M., Maby, E., Delannoy, V., ... & Lécuyer, A. (2010). Openvibe: An open-source software platform to design, test, and use brain-computer interfaces in real and virtual environments. Presence, 19(1), 35-53.
BACKGROUNDRos T, Enriquez-Geppert S, Zotev V, Young KD, Wood G, Whitfield-Gabrieli S, Wan F, Vuilleumier P, Vialatte F, Van De Ville D, Todder D, Surmeli T, Sulzer JS, Strehl U, Sterman MB, Steiner NJ, Sorger B, Soekadar SR, Sitaram R, Sherlin LH, Schonenberg M, Scharnowski F, Schabus M, Rubia K, Rosa A, Reiner M, Pineda JA, Paret C, Ossadtchi A, Nicholson AA, Nan W, Minguez J, Micoulaud-Franchi JA, Mehler DMA, Luhrs M, Lubar J, Lotte F, Linden DEJ, Lewis-Peacock JA, Lebedev MA, Lanius RA, Kubler A, Kranczioch C, Koush Y, Konicar L, Kohl SH, Kober SE, Klados MA, Jeunet C, Janssen TWP, Huster RJ, Hoedlmoser K, Hirshberg LM, Heunis S, Hendler T, Hampson M, Guggisberg AG, Guggenberger R, Gruzelier JH, Gobel RW, Gninenko N, Gharabaghi A, Frewen P, Fovet T, Fernandez T, Escolano C, Ehlis AC, Drechsler R, Christopher deCharms R, Debener S, De Ridder D, Davelaar EJ, Congedo M, Cavazza M, Breteler MHM, Brandeis D, Bodurka J, Birbaumer N, Bazanova OM, Barth B, Bamidis PD, Auer T, Arns M, Thibault RT. Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist). Brain. 2020 Jun 1;143(6):1674-1685. doi: 10.1093/brain/awaa009.
PMID: 32176800BACKGROUNDShibasaki H. Human brain mapping: hemodynamic response and electrophysiology. Clin Neurophysiol. 2008 Apr;119(4):731-43. doi: 10.1016/j.clinph.2007.10.026. Epub 2008 Jan 9.
PMID: 18187361BACKGROUNDSitaram R, Ros T, Stoeckel L, Haller S, Scharnowski F, Lewis-Peacock J, Weiskopf N, Blefari ML, Rana M, Oblak E, Birbaumer N, Sulzer J. Closed-loop brain training: the science of neurofeedback. Nat Rev Neurosci. 2017 Feb;18(2):86-100. doi: 10.1038/nrn.2016.164. Epub 2016 Dec 22.
PMID: 28003656BACKGROUNDSnyder HR. Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: a meta-analysis and review. Psychol Bull. 2013 Jan;139(1):81-132. doi: 10.1037/a0028727. Epub 2012 May 28.
PMID: 22642228BACKGROUNDSnyder HR, Miyake A, Hankin BL. Advancing understanding of executive function impairments and psychopathology: bridging the gap between clinical and cognitive approaches. Front Psychol. 2015 Mar 26;6:328. doi: 10.3389/fpsyg.2015.00328. eCollection 2015.
PMID: 25859234BACKGROUNDSteenland K, Karnes C, Seals R, Carnevale C, Hermida A, Levey A. Late-life depression as a risk factor for mild cognitive impairment or Alzheimer's disease in 30 US Alzheimer's disease centers. J Alzheimers Dis. 2012;31(2):265-75. doi: 10.3233/JAD-2012-111922.
PMID: 22543846BACKGROUNDSteingrimsson S, Bilonic G, Ekelund AC, Larson T, Stadig I, Svensson M, Vukovic IS, Wartenberg C, Wrede O, Bernhardsson S. Electroencephalography-based neurofeedback as treatment for post-traumatic stress disorder: A systematic review and meta-analysis. Eur Psychiatry. 2020 Jan 31;63(1):e7. doi: 10.1192/j.eurpsy.2019.7.
PMID: 32093790BACKGROUNDSzymkowicz SM, Woods AJ, Dotson VM, Porges EC, Nissim NR, O'Shea A, Cohen RA, Ebner NC. Associations between subclinical depressive symptoms and reduced brain volume in middle-aged to older adults. Aging Ment Health. 2019 Jul;23(7):819-830. doi: 10.1080/13607863.2018.1432030. Epub 2018 Jan 30.
PMID: 29381390BACKGROUNDTong, A. Y., & Man, D. W. (2002). The validation of the Hong Kong Chinese version of the Lawton Instrumental Activities of Daily Living Scale for institutionalized elderly persons. OTJR: Occupation, Participation and Health, 22(4), 132-142.
BACKGROUNDTrambaiolli LR, Cassani R, Mehler DMA, Falk TH. Neurofeedback and the Aging Brain: A Systematic Review of Training Protocols for Dementia and Mild Cognitive Impairment. Front Aging Neurosci. 2021 Jun 9;13:682683. doi: 10.3389/fnagi.2021.682683. eCollection 2021.
PMID: 34177558BACKGROUNDTrambaiolli LR, Kohl SH, Linden DEJ, Mehler DMA. Neurofeedback training in major depressive disorder: A systematic review of clinical efficacy, study quality and reporting practices. Neurosci Biobehav Rev. 2021 Jun;125:33-56. doi: 10.1016/j.neubiorev.2021.02.015. Epub 2021 Feb 12.
PMID: 33587957BACKGROUNDvan der Kolk BA, Hodgdon H, Gapen M, Musicaro R, Suvak MK, Hamlin E, Spinazzola J. A Randomized Controlled Study of Neurofeedback for Chronic PTSD. PLoS One. 2016 Dec 16;11(12):e0166752. doi: 10.1371/journal.pone.0166752. eCollection 2016.
PMID: 27992435BACKGROUNDWager TD, Davidson ML, Hughes BL, Lindquist MA, Ochsner KN. Prefrontal-subcortical pathways mediating successful emotion regulation. Neuron. 2008 Sep 25;59(6):1037-50. doi: 10.1016/j.neuron.2008.09.006.
PMID: 18817740BACKGROUNDWang SY, Lin IM, Fan SY, Tsai YC, Yen CF, Yeh YC, Huang MF, Lee Y, Chiu NM, Hung CF, Wang PW, Liu TL, Lin HC. The effects of alpha asymmetry and high-beta down-training neurofeedback for patients with the major depressive disorder and anxiety symptoms. J Affect Disord. 2019 Oct 1;257:287-296. doi: 10.1016/j.jad.2019.07.026. Epub 2019 Jul 5.
PMID: 31302517BACKGROUNDWu, C. H., & Yao, G. (2006). Analysis of factorial invariance across gender in the Taiwan version of the Satisfaction with Life Scale. Personality and Individual Differences, 40(6), 1259-1268.
BACKGROUNDYeung MK, Lee TL, Chan AS. Frontal lobe dysfunction underlies the differential word retrieval impairment in adolescents with high-functioning autism. Autism Res. 2019 Apr;12(4):600-613. doi: 10.1002/aur.2082. Epub 2019 Feb 13.
PMID: 30758144BACKGROUNDYeung MK, Lee TL, Chan AS. Right-lateralized frontal activation underlies successful updating of verbal working memory in adolescents with high-functioning autism spectrum disorder. Biol Psychol. 2019 Nov;148:107743. doi: 10.1016/j.biopsycho.2019.107743. Epub 2019 Aug 22.
PMID: 31445997BACKGROUNDYeung MK, Lee TL, Chan AS. Depressive and anxiety symptoms are related to decreased lateral prefrontal cortex functioning during cognitive control in older people. Biol Psychol. 2021 Nov;166:108224. doi: 10.1016/j.biopsycho.2021.108224. Epub 2021 Nov 14.
PMID: 34785277BACKGROUNDYeung MK, Lee TL, Chan AS. Negative mood is associated with decreased prefrontal cortex functioning during working memory in young adults. Psychophysiology. 2021 Jun;58(6):e13802. doi: 10.1111/psyp.13802. Epub 2021 Mar 4.
PMID: 33665829BACKGROUNDYeung MK, Sze SL, Woo J, Kwok T, Shum DH, Yu R, Chan AS. Altered Frontal Lateralization Underlies the Category Fluency Deficits in Older Adults with Mild Cognitive Impairment: A Near-Infrared Spectroscopy Study. Front Aging Neurosci. 2016 Mar 29;8:59. doi: 10.3389/fnagi.2016.00059. eCollection 2016.
PMID: 27065857BACKGROUNDYeung MK, Sze SL, Woo J, Kwok T, Shum DH, Yu R, Chan AS. Reduced Frontal Activations at High Working Memory Load in Mild Cognitive Impairment: Near-Infrared Spectroscopy. Dement Geriatr Cogn Disord. 2016;42(5-6):278-296. doi: 10.1159/000450993. Epub 2016 Oct 27.
PMID: 27784013BACKGROUNDYochim, B. P., Mueller, A. E., June, A., & Segal, D. L. (2010). Psychometric properties of the geriatric anxiety scale: comparison to the beck anxiety inventory and geriatric anxiety inventory. Clinical Gerontologist, 34(1), 21-33.
BACKGROUNDZilverstand A, Sorger B, Sarkheil P, Goebel R. fMRI neurofeedback facilitates anxiety regulation in females with spider phobia. Front Behav Neurosci. 2015 Jun 8;9:148. doi: 10.3389/fnbeh.2015.00148. eCollection 2015.
PMID: 26106309BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Kin Chung Michael Yeung
The Education University of Hong Kong
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, INVESTIGATOR
- Masking Details
- During each training session, a cap adjusted to the participant's head size will be used to mount the EEG and fNIRS sensors. The hardware setup will be the same for all groups to ensure that both the participant and the experimenter are blinded to the training group.
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 16, 2023
First Posted
July 10, 2023
Study Start
February 15, 2023
Primary Completion
October 31, 2024
Study Completion
October 31, 2024
Last Updated
April 10, 2024
Record last verified: 2024-03
Data Sharing
- IPD Sharing
- Will not share
Personal information obtained for this study will be kept totally secret, and each participant will be assigned a unique serial number. We will properly secure their identity and privacy, as well as the personal data of all participants. The Confidentiality and Privacy Ordinance of The Hong Kong Polytechnic University shall protect and keep all medical data. Personal information will be stored in an encrypted file with just a code number to identify it. All personal data will be removed five years after the study project is completed. Research findings may be published in international academic publications or at conferences, but all personal information will be kept confidential.