Depression, AnxietyNCT05936697
Neurofeedback Training For Older Adults
A study testing fNIRS, EEG and Baseline Training in people with Depression, Anxiety, run by The Hong Kong Polytechnic University at 1 site in Hong Kong.
Trial 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. Read more about this study
- Who is it for?
- Ages 60 to 79 years
- Conditions the study is for
- Depression, Anxiety
- What is being tested?
- fNIRS, EEG and Baseline Training
- Type of treatment
- Medical device
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 90 participants
- Where
- 1 siteHong Kong
- Study dates
- 15 Feb 2023to 31 Oct 2024
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 60 to 79 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- (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;
Show all 9Show fewer
- (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
Who cannot join
- does not fulfill any of the above criteria
Trial locations and contacts
1 site in 1 country.
Hong Kong1 site, 1 recruiting
- Recruiting
Faculty of Health and Social Sciences OF The Hong Kong Polytechnic University
Hong Kong, 000000
Lai Man Jacqueline Chan, +852 34002664, Jacqueline-lm.chan@polyu.edu.hk
Ho Keung David Shum
About this study
Official title: Neurofeedback Training to Improve Prefrontal Functioning in Older Adults With Subclinical Depression and Anxiety: a Randomised Control Trial
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.
Read the detailed description
Background:
Subclinical symptoms of depression and anxiety are common in older adults, with some estimates indicating that these symptoms are present in 10-52% of community-dwelling older adults. Some studies have shown that older adults with subclinical depression and anxiety are more likely than those with low levels of relevant symptoms to be diagnosed with affective disorders and mild cognitive impairment or dementia later in life. Thus, interventions for older people with elevated subclinical symptoms of depression and anxiety are crucial for preventing affective disorders and dementia late in life. During negative emotional experiences, the prefrontal cortex (PFC) plays a pivotal role in downregulating activity. PFC dysfunction may cause different mood and anxiety symptoms.
Neurofeedback training is a non-pharmaceutical neurorehabilitation technique that can potentially improve prefrontal function and enhance mental health and cognitive functions. This technique uses sensory feedback to teach individuals to self-regulate specific brain activities, with the goal of inducing long-term neuroplasticity and functional improvements. Traditionally, neurofeedback training has been conducted using EEG, and much research has applied such training interventions for the treatment of a variety of psychiatric disorders. In recent years, interest in using fNIRS to deliver neurofeedback training has grown. The underlying mechanism of such training with fNIRS is different from that of training with EEG. Compared with EEG, fNIRS has a lower temporal resolution but a higher spatial resolution and is more resilient to movement artifacts. In addition, one recent study showed that patients with social anxiety disorder had reduced anxiety symptoms after fNIRS neurofeedback training.
Research Plan and Methodology:
Design: This proposed project has been designed in accordance with current consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies. The participants will be randomly and equally assigned to one of three neurofeedback training groups: (1) sham, (2) EEG, and (3) fNIRS. Each participant will complete a neurophysiological assessment (1) before, (2) immediately after, and (3) 1 month after intervention.
Participants: 90 older adults without dementia will be recruited via advertisements at PolyU and NGOs. The inclusion criteria is: (i) age of 60-79 years; (ii) right-handedness as assessed using the short form of the Edinburgh Handedness Inventory; (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); (iv) no history of neurological or psychiatric disorder; (iv) no history of traumatic brain injury requiring hospitalisation; (vi) not currently using psychotropic medication; (vii) ability to read Traditional Chinese; (viii) normal or corrected-to-normal vision; and (ix) a score of at least 19 on the Hong Kong Montreal Cognitive Assessment (HK-MoCA).
The inclusion criteria that the investigators planned to use were based on those employed by prefrontal neurofeedback studies in mood or anxiety disorders. Conventionally, participants are selected based on a certain threshold of depressive or anxiety symptoms, neither cognitive nor brain dysfunction constitutes an inclusion criterion. Nevertheless, since variation in cognitive and PFC functioning levels may affect the treatment response, subsequent analyses will consider baseline cognitive and PFC functioning levels.
Study Procedures: Potential participants will first be subjected to a screening evaluation to assess eligibility. Eligible individuals will be invited to PolyU for assessment and training. The training will comprise 10 60-min sessions conducted within 4 weeks. Each session will include 25-min effective training time, for a total training time of 250 min, in keeping with recent recommendations. In addition, the participants will undertake 3 experimental tasks under simultaneous EEG-fNIRS recording and complete several questionnaires at 3 time points, as described in the 'Neurophysiological Assessment' section. Multiple studies have demonstrated that EEG, fNIRS, and neurofeedback training can be applied to older adults over 70, and even to individuals with dementia. Therefore, the investigators expect that older adults who are screened for dementia by the HK-MoCA will be able to follow both the assessment and training protocols.
Neurofeedback Training: During training, participants will be asked to follow the instructions on a computer screen. They will complete five rounds of training task. Each round starts with a 30-s rest phase followed by 4.5 min of self-regulation phase. During the rest phase, a fixation cross will appear onscreen, and the participants will be instructed to sit still and relax. During the regulation period, the participants will be asked to make the square change from white to black (i.e., an intrinsic social reward) but will not be given specific strategies. The darkness of colour will represent the increase in either frontal alpha asymmetry or frontal oxyhaemoglobin (HbO) asymmetry. The values at the moment will be compared against the 20-s pre-regulation baseline. 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.
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. 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. For fNIRS to be recorded by the wearable OctaMon+ system (Artinis Medical Systems, Gelderland, 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 cerebral fissure on each side of the hemispheres are surrounded F3 and F4. Data will be sampled at 50 Hz. Depending on the training group, frontal asymmetry in terms of the difference in alpha power (8-13 Hz) between F3 and F4 and the mean change in HbO concentration between the left and right PFC will be chosen as the target objective. For both real training groups, real-time data streaming will be performed using the Lab Streaming Layer and OpenVibe according to published guidelines.
Neurophysiological Assessment: A 1.5-h neurophysiological assessment will be administered at each of 3 time points (pre, post, and 1-month follow-up) to evaluate the effects of neurofeedback training. The participants will complete the DASS-21 (Chinese version) to measure their depressive and anxiety symptoms over the last week; the Hospital Anxiety and Depression Scale (HADS; Chinese version) to measure their signs of anxiousness and depression during the previous week; the Pittsburgh Sleep Quality Index to measure their sleep quality over the last month; the Satisfaction with Life Scale (Chinese version) to quantify their general life satisfaction; and Lawton Instrumental Activities of Daily Living Scale (IADL; Chinese version) to assess independent living skills. The participants will also complete three computerised tasks to assess different components of frontal cognitive function under simultaneous EEG-fNIRS measurements, using the same setup as neurofeedback training. At the first visit, the participants will also complete the HK-MoCA to screen for dementia. Immediately after the intervention, they will be asked whether they know their treatment group assignment to check the strength of blinding.
Each assessment task (eyes open, Emotional Stroop, n-back) proposed for this research will comprise a difficult and an easy condition. The eyes open test is used to let the machine measure the activation baseline when the participants open their eyes. It requires participants to maintain their eyes open for 3 minutes. The Emotional Stroop task is used to assess inhibitory control. Participants are shown photos of different emotions with unrelated traditional Chinese emotion names. They are asked to name the photos by emotion. It requires participants to inhibit their emotions lead by the wordings and react to the content of the photo. Differences in accuracy and mean reaction time (RT) and changes in the prefrontal HbO concentration and theta power between the two conditions will be the dependent variables. The n-back task is used to assess working memory. During the task, participants are shown a sequence of digits and asked to judge via button press whether the digit they are seeing is zero (0-back; easy) or the same as the digit they saw two trials before (2-back; difficult). Differences in accuracy and mean RT and changes in the prefrontal HbO concentration and theta power between the two conditions will be the dependent variables.
Data Analysis: In this project, the primary outcome measures are mood and anxiety measures (i.e., DASS-21 and HADS scores), and the secondary outcome measures are task performance and PFC measures, as well as other mental health measures. The outcome measures will be analysed according to the CRED-nf checklist. Linear mixed models with group (sham, EEG, fNIRS), time (baseline, post, follow-up), and condition (easy, difficult) as the fixed factors; and the subject as a random factor will be used to analyse the behavioural, fNIRS, and EEG data. The investigators expect that participants in the two real neurofeedback training groups will demonstrate significant improvements in mental health, cognitive function, and frontal lobe function at the post and follow-up assessments relative to the sham group participants. In addition, the investigators will evaluate differences in pre-post changes in mental health and cognitive functions between the two real training groups. Moreover, the investigators will examine the correlation between baseline cognitive and PFC functioning levels and the pre-post changes in DASS-21 scores to elucidate individual differences in the treatment response for each neurofeedback group.
- Conditions
- Depression, Anxiety
- Being tested
- fNIRS, EEG, Baseline Training
- Keywords
- Neurofeedback, Prefrontal Cortex
- Medical subject headings
- Depression, Anxiety Disorders
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
fNIRSDevice
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.
EEGDevice
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.
Baseline TrainingOther
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.
| Study group | Role | What they receive |
|---|---|---|
| Sham Group | Sham comparator | During 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. Receives: Other: Baseline Training |
| fNIRS Group | Experimental | During 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. Receives: Device: fNIRS |
| EEG Group | Experimental | During 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. Receives: Device: EEG |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.)
Measured: 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.)
Measured: 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.)
Measured: 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.)
Measured: Within 1 week before the first training session, and within 1 month after the last training session
Secondary outcomes (16)
Stroop (post; RT)
Change in Stroop mean reaction time
Measured: Within 1 week before the first training session, and within 1 week after the last training session
Stroop (follow-up; RT)
Change in Stroop mean reaction time at follow-up
Measured: Within 1 week before the first training session, and within 1 month after the last training session
Stroop (post; accuracy)
Change in Stroop accuracy
Measured: Within 1 week before the first training session, and within 1 week after the last training session
Stroop (follow-up; accuracy)
Change in Stroop accuracy at follow-up
Measured: Within 1 week before the first training session, and within 1 month after the last training session
Stroop (post; fNIRS)
Change in mean change in oxyhemoglobin concentration measured by fNIRS
Measured: Within 1 week before the first training session, and within 1 week after the last training session
Stroop (follow-up; fNIRS)
Change in mean change in oxyhemoglobin concentration measured by fNIRS at follow-up
Measured: Within 1 week before the first training session, and within 1 month after the last training session
Stroop (post; EEG)
Change in stimulus-locked N450 amplitude measured by EEG
Measured: Within 1 week before the first training session, and within 1 week after the last training session
Stroop (follow-up; EEG)
Change in stimulus-locked N450 amplitude measured by EEG at follow-up
Measured: Within 1 week before the first training session, and within 1 month after the last training session
n-back (post; RT)
Change in n-back mean reaction time
Measured: Within 1 week before the first training session, and within 1 week after the last training session
n-back (follow-up; RT)
Change in n-back mean reaction time at follow-up
Measured: Within 1 week before the first training session, and within 1 month after the last training session
n-back (post; accuracy)
Change in n-back accuracy
Measured: Within 1 week before the first training session, and within 1 week after the last training session
n-back (follow-up; accuracy)
Change in n-back accuracy at follow-up
Measured: Within 1 week before the first training session, and within 1 month after the last training session
n-back (post; fNIRS)
Change in mean change in oxyhemoglobin concentration measured by fNIRS
Measured: Within 1 week before the first training session, and within 1 week after the last training session
n-back (follow-up; fNIRS)
Change in mean change in oxyhemoglobin concentration measured by fNIRS at follow-up
Measured: Within 1 week before the first training session, and within 1 month after the last training session
n-back (post; EEG)
Change in stimulus-locked P300 amplitude measured by EEG at follow-up
Measured: Within 1 week before the first training session, and within 1 week after the last training session
n-back (follow-up; EEG)
Change in stimulus-locked P300 amplitude measured by EEG at follow-up
Measured: Within 1 week before the first training session, and within 1 month after the last training session
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted10 Jul 2023
- Study start15 Feb 2023
- Primary completion31 Oct 2024 (estimated)
- Study completion31 Oct 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (62)Papers the sponsor has linked to this study.
- Other trials for Depression, AnxietyStudies of the same condition, open and under way.
- More trials run by The Hong Kong Polytechnic UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- The participants will be randomly and equally assigned to one of three neurofeedback training groups: (1) sham, (2) EEG, and (3) fNIRS. Each participant will complete a neurophysiological assessment (1) before, (2) immediately after, and (3) 1 month after the intervention.
- Masking
- Double blind
- Who is masked
- Participant, Investigator
- Enrolment
- 90 participants (estimated)
Sponsor and investigators
- Lead sponsor
- The Hong Kong Polytechnic University
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Kin Chung Michael Yeung, Study chair, The Education University of Hong Kong
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05936697
- Sponsor's protocol ID
- HSEARS20221103002
- Status last verified
- Mar 2024
- First submitted
- 16 Apr 2023
- Last updated
- 10 Apr 2024
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: 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.
Publications
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.
PubMed 11813272Gomez, 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.
Norton 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.
PubMed 17999228Veale 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.
PubMed 23659650Wong 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.
PubMed 19672065Adolph 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.
PubMed 27987054Barry 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.
PubMed 28943465Beaudreau 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.
PubMed 18827225Beekman 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.
PubMed 10618018Bruder 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.
PubMed 28445740Bryant 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.
PubMed 18155775Buysse 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.
PubMed 2748771Cui 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.
PubMed 19945536Cuijpers 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.
PubMed 25274315Delpy 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.
PubMed 3237772
Study at a glance
From the registry record, last updated by the sponsor on 10 Apr 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Neurofeedback Training to Improve Prefrontal Functioning in Older Adults With Subclinical Depression and Anxiety: a Randomised Control Trial
- ClinicalTrials.gov ID
- NCT05936697
- Acronym / sponsor ID
- HSEARS20221103002
- Conditions
- Depression, Anxiety
- Keywords
- Neurofeedback, Prefrontal Cortex
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 90 participants (estimated)
- Lead sponsor
- The Hong Kong Polytechnic UniversityUniversity, hospital or other
- Study start
- 15 Feb 2023 (actual)
- Primary completion
- 31 Oct 2024 (estimated)
- Study completion
- 31 Oct 2024 (estimated)
- First posted
- 10 Jul 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
Background:
Subclinical symptoms of depression and anxiety are common in older adults, with some estimates indicating that these symptoms are present in 10-52% of community-dwelling older adults. Some studies have shown that older adults with subclinical depression and anxiety are more likely than those with low levels of relevant symptoms to be diagnosed with affective disorders and mild cognitive impairment or dementia later in life. Thus, interventions for older people with elevated subclinical symptoms of depression and anxiety are crucial for preventing affective disorders and dementia late in life. During negative emotional experiences, the prefrontal cortex (PFC) plays a pivotal role in downregulating activity. PFC dysfunction may cause different mood and anxiety symptoms.
Neurofeedback training is a non-pharmaceutical neurorehabilitation technique that can potentially improve prefrontal function and enhance mental health and cognitive functions. This technique uses sensory feedback to teach individuals to self-regulate specific brain activities, with the goal of inducing long-term neuroplasticity and functional improvements. Traditionally, neurofeedback training has been conducted using EEG, and much research has applied such training interventions for the treatment of a variety of psychiatric disorders. In recent years, interest in using fNIRS to deliver neurofeedback training has grown. The underlying mechanism of such training with fNIRS is different from that of training with EEG. Compared with EEG, fNIRS has a lower temporal resolution but a higher spatial resolution and is more resilient to movement artifacts. In addition, one recent study showed that patients with social anxiety disorder had reduced anxiety symptoms after fNIRS neurofeedback training.
Research Plan and Methodology:
Design: This proposed project has been designed in accordance with current consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies. The participants will be randomly and equally assigned to one of three neurofeedback training groups: (1) sham, (2) EEG, and (3) fNIRS. Each participant will complete a neurophysiological assessment (1) before, (2) immediately after, and (3) 1 month after intervention.
Participants: 90 older adults without dementia will be recruited via advertisements at PolyU and NGOs. The inclusion criteria is: (i) age of 60-79 years; (ii) right-handedness as assessed using the short form of the Edinburgh Handedness Inventory; (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); (iv) no history of neurological or psychiatric disorder; (iv) no history of traumatic brain injury requiring hospitalisation; (vi) not currently using psychotropic medication; (vii) ability to read Traditional Chinese; (viii) normal or corrected-to-normal vision; and (ix) a score of at least 19 on the Hong Kong Montreal Cognitive Assessment (HK-MoCA).
The inclusion criteria that the investigators planned to use were based on those employed by prefrontal neurofeedback studies in mood or anxiety disorders. Conventionally, participants are selected based on a certain threshold of depressive or anxiety symptoms, neither cognitive nor brain dysfunction constitutes an inclusion criterion. Nevertheless, since variation in cognitive and PFC functioning levels may affect the treatment response, subsequent analyses will consider baseline cognitive and PFC functioning levels.
Study Procedures: Potential participants will first be subjected to a screening evaluation to assess eligibility. Eligible individuals will be invited to PolyU for assessment and training. The training will comprise 10 60-min sessions conducted within 4 weeks. Each session will include 25-min effective training time, for a total training time of 250 min, in keeping with recent recommendations. In addition, the participants will undertake 3 experimental tasks under simultaneous EEG-fNIRS recording and complete several questionnaires at 3 time points, as described in the 'Neurophysiological Assessment' section. Multiple studies have demonstrated that EEG, fNIRS, and neurofeedback training can be applied to older adults over 70, and even to individuals with dementia. Therefore, the investigators expect that older adults who are screened for dementia by the HK-MoCA will be able to follow both the assessment and training protocols.
Neurofeedback Training: During training, participants will be asked to follow the instructions on a computer screen. They will complete five rounds of training task. Each round starts with a 30-s rest phase followed by 4.5 min of self-regulation phase. During the rest phase, a fixation cross will appear onscreen, and the participants will be instructed to sit still and relax. During the regulation period, the participants will be asked to make the square change from white to black (i.e., an intrinsic social reward) but will not be given specific strategies. The darkness of colour will represent the increase in either frontal alpha asymmetry or frontal oxyhaemoglobin (HbO) asymmetry. The values at the moment will be compared against the 20-s pre-regulation baseline. 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.
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. 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. For fNIRS to be recorded by the wearable OctaMon+ system (Artinis Medical Systems, Gelderland, 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 cerebral fissure on each side of the hemispheres are surrounded F3 and F4. Data will be sampled at 50 Hz. Depending on the training group, frontal asymmetry in terms of the difference in alpha power (8-13 Hz) between F3 and F4 and the mean change in HbO concentration between the left and right PFC will be chosen as the target objective. For both real training groups, real-time data streaming will be performed using the Lab Streaming Layer and OpenVibe according to published guidelines.
Neurophysiological Assessment: A 1.5-h neurophysiological assessment will be administered at each of 3 time points (pre, post, and 1-month follow-up) to evaluate the effects of neurofeedback training. The participants will complete the DASS-21 (Chinese version) to measure their depressive and anxiety symptoms over the last week; the Hospital Anxiety and Depression Scale (HADS; Chinese version) to measure their signs of anxiousness and depression during the previous week; the Pittsburgh Sleep Quality Index to measure their sleep quality over the last month; the Satisfaction with Life Scale (Chinese version) to quantify their general life satisfaction; and Lawton Instrumental Activities of Daily Living Scale (IADL; Chinese version) to assess independent living skills. The participants will also complete three computerised tasks to assess different components of frontal cognitive function under simultaneous EEG-fNIRS measurements, using the same setup as neurofeedback training. At the first visit, the participants will also complete the HK-MoCA to screen for dementia. Immediately after the intervention, they will be asked whether they know their treatment group assignment to check the strength of blinding.
Each assessment task (eyes open, Emotional Stroop, n-back) proposed for this research will comprise a difficult and an easy condition. The eyes open test is used to let the machine measure the activation baseline when the participants open their eyes. It requires participants to maintain their eyes open for 3 minutes. The Emotional Stroop task is used to assess inhibitory control. Participants are shown photos of different emotions with unrelated traditional Chinese emotion names. They are asked to name the photos by emotion. It requires participants to inhibit their emotions lead by the wordings and react to the content of the photo. Differences in accuracy and mean reaction time (RT) and changes in the prefrontal HbO concentration and theta power between the two conditions will be the dependent variables. The n-back task is used to assess working memory. During the task, participants are shown a sequence of digits and asked to judge via button press whether the digit they are seeing is zero (0-back; easy) or the same as the digit they saw two trials before (2-back; difficult). Differences in accuracy and mean RT and changes in the prefrontal HbO concentration and theta power between the two conditions will be the dependent variables.
Data Analysis: In this project, the primary outcome measures are mood and anxiety measures (i.e., DASS-21 and HADS scores), and the secondary outcome measures are task performance and PFC measures, as well as other mental health measures. The outcome measures will be analysed according to the CRED-nf checklist. Linear mixed models with group (sham, EEG, fNIRS), time (baseline, post, follow-up), and condition (easy, difficult) as the fixed factors; and the subject as a random factor will be used to analyse the behavioural, fNIRS, and EEG data. The investigators expect that participants in the two real neurofeedback training groups will demonstrate significant improvements in mental health, cognitive function, and frontal lobe function at the post and follow-up assessments relative to the sham group participants. In addition, the investigators will evaluate differences in pre-post changes in mental health and cognitive functions between the two real training groups. Moreover, the investigators will examine the correlation between baseline cognitive and PFC functioning levels and the pre-post changes in DASS-21 scores to elucidate individual differences in the treatment response for each neurofeedback group.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind (participant, investigator)
- Number of arms
- 3
- Model description
- The participants will be randomly and equally assigned to one of three neurofeedback training groups: (1) sham, (2) EEG, and (3) fNIRS. Each participant will complete a neurophysiological assessment (1) before, (2) immediately after, and (3) 1 month after the intervention.
| Arm | Type | Receives |
|---|---|---|
| Sham Group | Sham comparator | Other: Baseline TrainingDuring 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 | Experimental | Device: fNIRSDuring 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 | Experimental | Device: EEGDuring 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. |
Who may qualify
- Ages
- 60 to 79 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (9 listed)
- (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;
Key exclusion criteria (1 listed)
- does not fulfill any of the above criteria
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| fNIRSFor 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. | Device | fNIRS Group |
| EEGFor 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. | Device | EEG Group |
| Baseline TrainingIn 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. | Other | Sham Group |
Primary outcome
Mood symptoms (post)
Time frame: Within 1 week before the first training session, and within 1 week after the last training session
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.)
Mood symptoms (follow-up)
Time frame: Within 1 week before the first training session, and within 1 month after the last training session
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.)
Anxiety symptoms (post)
Time frame: Within 1 week before the first training session, and within 1 week after the last training session
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.)
Anxiety symptoms (follow-up)
Time frame: Within 1 week before the first training session, and within 1 month after the last training session
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.)
16 secondary outcomes
Stroop (post; RT)
Time frame: Within 1 week before the first training session, and within 1 week after the last training session
Stroop (follow-up; RT)
Time frame: Within 1 week before the first training session, and within 1 month after the last training session
Stroop (post; accuracy)
Time frame: Within 1 week before the first training session, and within 1 week after the last training session
Stroop (follow-up; accuracy)
Time frame: Within 1 week before the first training session, and within 1 month after the last training session
Stroop (post; fNIRS)
Time frame: Within 1 week before the first training session, and within 1 week after the last training session
Stroop (follow-up; fNIRS)
Time frame: Within 1 week before the first training session, and within 1 month after the last training session
Stroop (post; EEG)
Time frame: Within 1 week before the first training session, and within 1 week after the last training session
Stroop (follow-up; EEG)
Time frame: Within 1 week before the first training session, and within 1 month after the last training session
n-back (post; RT)
Time frame: Within 1 week before the first training session, and within 1 week after the last training session
n-back (follow-up; RT)
Time frame: Within 1 week before the first training session, and within 1 month after the last training session
n-back (post; accuracy)
Time frame: Within 1 week before the first training session, and within 1 week after the last training session
n-back (follow-up; accuracy)
Time frame: Within 1 week before the first training session, and within 1 month after the last training session
n-back (post; fNIRS)
Time frame: Within 1 week before the first training session, and within 1 week after the last training session
n-back (follow-up; fNIRS)
Time frame: Within 1 week before the first training session, and within 1 month after the last training session
n-back (post; EEG)
Time frame: Within 1 week before the first training session, and within 1 week after the last training session
n-back (follow-up; EEG)
Time frame: Within 1 week before the first training session, and within 1 month after the last training session
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 10 Apr 2024.
- Background: PubMed 11813272Flint 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.
- BackgroundGomez, 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.
- Background: PubMed 17999228Norton 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.
- Background: PubMed 23659650Veale 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.
- Background: PubMed 19672065Wong 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.
- Background: PubMed 27987054Adolph 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.
- Background: PubMed 28943465Barry 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.
- Background: PubMed 18827225Beaudreau 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.
- Background: PubMed 10618018Beekman 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.
- Background: PubMed 28445740Bruder 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.
- Background: PubMed 18155775Bryant 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.
- Background: PubMed 2748771Buysse 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.
- Individual participant dataSharing planned: No. 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.
Related trials for Depression, Anxiety
Not yet recruiting
Mandala Coloring in Late Pregnancy
Pregnancy, Anxiety
Not yet recruitingObservational study
Ecological Momentary Assessment of State-Dependent Decision-Making and Metacognition Across a Psychopathology Continuum
Depression, Anxiety
Not yet recruiting
Adapting the ESTEEM Intervention to Improve Mental Health and PrEP Uptake Among Men at Risk of HIV
PrEP Use
Active, not recruiting
Improving Student Mental Health Through a Universal Trauma-Informed Intervention
Anxiety Symptoms, Post-traumatic Stress Symptoms
Not yet recruiting
Health-Related Social Needs Food Boxes Delivery Program
Food Insecurity
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Kin Chung Michael Yeung study chair
The Education University of Hong Kong
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing fNIRS, EEG and Baseline Training in people with Depression, Anxiety, run by The Hong Kong Polytechnic University at 1 site in Hong Kong.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 9 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 10 Apr 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Hong Kong. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Lai Man Jacqueline Chan (+852 34002664, Jacqueline-lm.chan@polyu.edu.hk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Mood symptoms (post) (time frame: Within 1 week before the first training session, and within 1 week after the last training session). The study lists 4 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05936697, which also lists 62 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 10 Apr 2024.