AnxietyPhase 1NF-AANCT02463136
Fmri-based Neurofeedback With Anxious Adolescents Study
A Phase 1 study testing questionnaires and Functional magnetic resonance imaging w neurofeedback in people with Anxiety, run by University of Oxford at 1 site in United Kingdom.
Trial summary
Adolescents are particularly vulnerable to psychological problems, partly because of dramatic changes in the brain, along with changes in social interactions patterns as they move from childhood towards adulthood. One of the most common problems is anxiety, which affects up to 1 in 4 adolescents. Read more about this study
- Who is it for?
- Ages 14 to 17 years, women onlyHealthy volunteers can take part
- Conditions the study is for
- Anxiety
- What is being tested?
- questionnaires and Functional magnetic resonance imaging w neurofeedback
- Type of treatment
- Medical device, Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 50 participants
- Where
- 1 siteUnited Kingdom
- Study dates
- Nov 2015to Oct 2017
- Phase
- Phase 1
- 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 14 to 17 years
- Women only
- Healthy volunteers accepted
- Child
Who may be able to join
- Female
- Aged 14-17 years
- Trait-anxiety score between 20-60
Who cannot join
- A past or current diagnosis of a psychological or psychiatric disorder, such as anxiety, depression, psychosis, autism, substance abuse, learning difficulties.
- Known incompatibility with the scanner requirements, such as braces, non-removable piercings, tattoos or pregnancy.
Trial locations and contacts
1 site in 1 country.
United Kingdom1 site, 1 recruiting
- Recruiting
University of Oxford
Oxford, Oxfordshire, OX1 3UD
Kathrin Cohen Kadosh, PhD, ++44 1865 271349, kathrin.cohenkadosh@psy.ox.ac.uk
About this study
Official title: Using Real-time fMRI-based Neurofeedback With Anxious Adolescents
Adolescents are particularly vulnerable to psychological problems, partly because of dramatic changes in the brain, along with changes in social interactions patterns as they move from childhood towards adulthood. One of the most common problems is anxiety, which affects up to 1 in 4 adolescents. Moreover, paediatric anxiety predicts lifelong persistent mental health problems, which are estimated to cost the UK taxpayer £8.6 billion annually. Young people with anxiety experience intense fears and worries, leading to problems with friendships, poor school performance, and long-term mental health difficulties. Research investigating how and why some young people develop anxiety is therefore critically needed so that strategies for early intervention can be developed.
This research will test the hypothesis that using a novel training intervention, - which teaches participants to change the way that their brain responds to emotional stimuli - will allow the investigators to influence response strategies while they are being established and possibly reduce the risk for anxiety in the long run. To achieve this, the investigators will test 50 adolescent females (aged 14-17 years) varying in anxiety levels to investigate whether brain responses in emotion regulation regions can be up/down regulated using fMRI-based neurofeedback.The rationale behind this research approach is that successful changes in brain response may then provide the participant with an additional, 'bodily' feeling of how respond to an emotional stimulus in real life situations, thereby paving the path towards the development of effective, age-appropriate intervention approaches.
Read the detailed description
This study is part of workpackage 4 of the Braintrain project (EU-FP7 n°602186), which responds to a huge clinical need for mechanism-driven therapies in psychiatry. Advances in neuroimaging and other neuroscience techniques have produced a wealth of information about the neural networks that can contribute to these disorders and their treatment (Linden, 2012). This information can now be harnessed to pinpoint both dysfunction and potential compensatory mechanisms in individual patients. It is important for the choice of neuroimaging technique that major nodes of such disordered networks are in deep regions of the brain such as subcortical nuclei (amygdala and nucleus accumbens) and/or midline cortical regions (medial prefrontal cortex, subgenual cingulate cortex, retrosplenial cortex), which are very difficult to probe via EEG alone. Through the development of fMRI-based NF (henceforth NF) techniques over the last decade by collaboration of members of this consortium (Weiskopf et al., 2004a; Weiskopf et al., 2004b), it has become a realistic proposition to train patients in the self-regulation of these networks and thus obtain clinical benefits (deCharms, 2007). In addition to this therapeutic option, NF can also take the investigation of the neural mechanisms of mental disorders to a new level because it allows the investigators to establish causal relationships by changing regional activity and assessing effects on behaviour and mental states in real-time.
In the current study, the investigators aim to provide proof of concept for using NF with adolescents with varying anxiety levels aged 14-17 years. Anxiety disorders are common, having an estimated lifetime prevalence of 10-25%, and often begin in late childhood/early adolescence. There are currently no effective prevention programmes and current treatments yield variable outcomes. Improving our understanding of the mechanisms by which anxiety disorders first develop can inform the design of effective and targeted interventions for prevention. The transition to adolescence may mark one such developmentally-sensitive juncture for the onset of lifelong persistent anxiety problems, where new interventions such as NF may be particularly effective (Cohen Kadosh et al., 2013). Particularly, it has been suggested that increased emotionality and ongoing development in the neuro-cognitive bases of emotion regulation abilities during adolescence may be one of the factors contributing to the increased risk of anxiety disorders in this age group (Haller et al., in press).
This study builds on previous work by the investigators, which has established the suitability of using NF with paediatric populations (Cohen Kadosh et al., in preparation). Specifically, here, the investigators will use NF to train 50 adolescent girls with varying anxiety levels to increase effective connectivity in the neural networks involved in emotion regulation abilities (Cohen Kadosh et al., in preparation; Kohn et al., 2014; Ruiz et al., 2013). The rationale for this approach is that by improving the information flow in these brain regions, emotion regulation abilities will also improve. Moreover, the investigators hope to be able to show that in turn, improvements in emotion regulation abilities will affect overall anxiety levels. Last, by recruiting participants across a wide range of anxiety levels, the investigators will also be able to assess variations in regulation success as a function of individual anxiety levels.
- Conditions
- Anxiety
- Being tested
- questionnaires, Functional magnetic resonance imaging w neurofeedback
- Keywords
- Adolescence, Brain Development, Neuroimaging, Neurofeedback, Anxiety
- Medical subject headings
- Anxiety Disorders
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
questionnairesBehavioural
Clinical questionnaires and behavioural computer-based paradigms, such as the Overlap task (Cohen Kadosh et al., 2014)
Functional magnetic resonance imaging w neurofeedbackDevice
The general framework of the scanning part of this experiment consists of a localiser task (lasting approximately 8 minutes), 4 neurofeedback runs (each lasting approximately 5 minutes) and an anatomical scan (approximately 10 minutes).
Immediately prior and following the scanning session, participants will also be asked to completed several), as well as an attentional control task with emotional stimuli, such as a behavioural version of the Overlap task (Cohen Kadosh et al., 2014).
| Study group | Role | What they receive |
|---|---|---|
| Behaviour and brain training | Experimental | fMRI-based neurofeedback Receives: Behavioral: questionnaires; Device: Functional magnetic resonance imaging w neurofeedback |
What is being measured
The primary outcome is the main question the study is designed to answer.
Proof of concept for using NF in anxious adolescents
Primary outcome will be that anxious participants learn to self-regulate brain activation. This will be assessed by quantifying the percent signal change in the BOLD signal in specific brain regions.
Measured: 12 months
Secondary outcomes (8)
Improved emotion regulation skills (questionnaires, behavioural tasks)
Significant change in questionnaire scores
Measured: 12 months
Successful reduction in anxious mood (questionnaire)
Significant reduction in anxiety scores
Measured: 12 months
Demographics (Demographic questionnaire)
General assessment
Measured: 12 months
Thought control abilities (questionnaire)
General assessment
Measured: 12 months
IQ levels (Wechsler Abbreviated Intelligence Scale)
General assessment
Measured: 12 months
Emotion regulation skills (Cognitive Emotion Regulation Questionnaire)
General assessment
Measured: 12 months
Mood and feelings (Moods and feelings questionnaire)
General assessment
Measured: 12 months
Debriefing interview questionnaire
General assessment
Measured: 12 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted4 Jun 2015 (estimated)
- Study startNov 2015
- Primary completionOct 2017 (estimated)
- Study completionOct 2017 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (10)Papers the sponsor has linked to this study.
- Other trials for AnxietyStudies of the same condition, open and under way.
- More trials run by University of OxfordThe 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 1
- Primary purpose
- Basic science
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 50 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University of Oxford
- Sponsor type
- University, hospital or other
- Collaborators
- King's College London, Cardiff University
- Responsible party
- Sponsor
- Investigators
- Kathrin ' Cohen Kadosh, PhD, Principal investigator, University of Oxford
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02463136
- Sponsor's protocol ID
- MSD-IDREC-C2-2013-014
- Acronym
- NF-AA
- Status last verified
- Nov 2016
- First submitted
- 22 May 2015
- Last updated
- 10 Nov 2016
- Results posted
- No
- Data monitoring committee
- Yes
- Individual data sharing
- Yes: Data may be shared across the Braintrain consortium
Publications
Cohen Kadosh K, Linden DE, Lau JY. Plasticity during childhood and adolescence: innovative approaches to investigating neurocognitive development. Dev Sci. 2013 Jul;16(4):574-83. doi: 10.1111/desc.12054. Epub 2013 May 28.
PubMed 23786475deCharms RC. Reading and controlling human brain activation using real-time functional magnetic resonance imaging. Trends Cogn Sci. 2007 Nov;11(11):473-81. doi: 10.1016/j.tics.2007.08.014. Epub 2007 Nov 7.
PubMed 17988931Haller SP, Cohen Kadosh K, Scerif G, Lau JY. Social anxiety disorder in adolescence: How developmental cognitive neuroscience findings may shape understanding and interventions for psychopathology. Dev Cogn Neurosci. 2015 Jun;13:11-20. doi: 10.1016/j.dcn.2015.02.002. Epub 2015 Feb 28.
PubMed 25818181Kohn N, Eickhoff SB, Scheller M, Laird AR, Fox PT, Habel U. Neural network of cognitive emotion regulation--an ALE meta-analysis and MACM analysis. Neuroimage. 2014 Feb 15;87:345-55. doi: 10.1016/j.neuroimage.2013.11.001. Epub 2013 Nov 9.
PubMed 24220041Linden DE. The challenges and promise of neuroimaging in psychiatry. Neuron. 2012 Jan 12;73(1):8-22. doi: 10.1016/j.neuron.2011.12.014.
PubMed 22243743Ruiz S, Lee S, Soekadar SR, Caria A, Veit R, Kircher T, Birbaumer N, Sitaram R. Acquired self-control of insula cortex modulates emotion recognition and brain network connectivity in schizophrenia. Hum Brain Mapp. 2013 Jan;34(1):200-12. doi: 10.1002/hbm.21427. Epub 2011 Oct 22.
PubMed 22021045Weiskopf N, Mathiak K, Bock SW, Scharnowski F, Veit R, Grodd W, Goebel R, Birbaumer N. Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). IEEE Trans Biomed Eng. 2004 Jun;51(6):966-70. doi: 10.1109/TBME.2004.827063.
PubMed 15188865Weiskopf N, Scharnowski F, Veit R, Goebel R, Birbaumer N, Mathiak K. Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI). J Physiol Paris. 2004 Jul-Nov;98(4-6):357-73. doi: 10.1016/j.jphysparis.2005.09.019. Epub 2005 Nov 10.
PubMed 16289548Haugg A, Renz FM, Nicholson AA, Lor C, Gotzendorfer SJ, Sladky R, Skouras S, McDonald A, Craddock C, Hellrung L, Kirschner M, Herdener M, Koush Y, Papoutsi M, Keynan J, Hendler T, Cohen Kadosh K, Zich C, Kohl SH, Hallschmid M, MacInnes J, Adcock RA, Dickerson KC, Chen NK, Young K, Bodurka J, Marxen M, Yao S, Becker B, Auer T, Schweizer R, Pamplona G, Lanius RA, Emmert K, Haller S, Van De Ville D, Kim DY, Lee JH, Marins T, Megumi F, Sorger B, Kamp T, Liew SL, Veit R, Spetter M, Weiskopf N, Scharnowski F, Steyrl D. Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. Neuroimage. 2021 Aug 15;237:118207. doi: 10.1016/j.neuroimage.2021.118207. Epub 2021 May 25.
PubMed 34048901Zich C, Johnstone N, Luhrs M, Lisk S, Haller SP, Lipp A, Lau JY, Kadosh KC. Modulatory effects of dynamic fMRI-based neurofeedback on emotion regulation networks in adolescent females. Neuroimage. 2020 Oct 15;220:117053. doi: 10.1016/j.neuroimage.2020.117053. Epub 2020 Jun 20.
PubMed 32574803
Study at a glance
From the registry record, last updated by the sponsor on 10 Nov 2016. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Using Real-time fMRI-based Neurofeedback With Anxious Adolescents
- ClinicalTrials.gov ID
- NCT02463136
- Acronym / sponsor ID
- NF-AA / MSD-IDREC-C2-2013-014
- Conditions
- Anxiety
- Keywords
- Adolescence, Brain Development, Neuroimaging, Neurofeedback, Anxiety
- Phase
- Phase 1
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 50 participants (estimated)
- Lead sponsor
- University of OxfordUniversity, hospital or other
- Collaborators
- King's College London, Cardiff University
- Study start
- Nov 2015
- Primary completion
- Oct 2017 (estimated)
- Study completion
- Oct 2017 (estimated)
- First posted
- 4 Jun 2015 (estimated)
- 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.
Adolescents are particularly vulnerable to psychological problems, partly because of dramatic changes in the brain, along with changes in social interactions patterns as they move from childhood towards adulthood. One of the most common problems is anxiety, which affects up to 1 in 4 adolescents. Moreover, paediatric anxiety predicts lifelong persistent mental health problems, which are estimated to cost the UK taxpayer £8.6 billion annually. Young people with anxiety experience intense fears and worries, leading to problems with friendships, poor school performance, and long-term mental health difficulties. Research investigating how and why some young people develop anxiety is therefore critically needed so that strategies for early intervention can be developed.
This research will test the hypothesis that using a novel training intervention, - which teaches participants to change the way that their brain responds to emotional stimuli - will allow the investigators to influence response strategies while they are being established and possibly reduce the risk for anxiety in the long run. To achieve this, the investigators will test 50 adolescent females (aged 14-17 years) varying in anxiety levels to investigate whether brain responses in emotion regulation regions can be up/down regulated using fMRI-based neurofeedback.The rationale behind this research approach is that successful changes in brain response may then provide the participant with an additional, 'bodily' feeling of how respond to an emotional stimulus in real life situations, thereby paving the path towards the development of effective, age-appropriate intervention approaches.
Detailed description
This study is part of workpackage 4 of the Braintrain project (EU-FP7 n°602186), which responds to a huge clinical need for mechanism-driven therapies in psychiatry. Advances in neuroimaging and other neuroscience techniques have produced a wealth of information about the neural networks that can contribute to these disorders and their treatment (Linden, 2012). This information can now be harnessed to pinpoint both dysfunction and potential compensatory mechanisms in individual patients. It is important for the choice of neuroimaging technique that major nodes of such disordered networks are in deep regions of the brain such as subcortical nuclei (amygdala and nucleus accumbens) and/or midline cortical regions (medial prefrontal cortex, subgenual cingulate cortex, retrosplenial cortex), which are very difficult to probe via EEG alone. Through the development of fMRI-based NF (henceforth NF) techniques over the last decade by collaboration of members of this consortium (Weiskopf et al., 2004a; Weiskopf et al., 2004b), it has become a realistic proposition to train patients in the self-regulation of these networks and thus obtain clinical benefits (deCharms, 2007). In addition to this therapeutic option, NF can also take the investigation of the neural mechanisms of mental disorders to a new level because it allows the investigators to establish causal relationships by changing regional activity and assessing effects on behaviour and mental states in real-time.
In the current study, the investigators aim to provide proof of concept for using NF with adolescents with varying anxiety levels aged 14-17 years. Anxiety disorders are common, having an estimated lifetime prevalence of 10-25%, and often begin in late childhood/early adolescence. There are currently no effective prevention programmes and current treatments yield variable outcomes. Improving our understanding of the mechanisms by which anxiety disorders first develop can inform the design of effective and targeted interventions for prevention. The transition to adolescence may mark one such developmentally-sensitive juncture for the onset of lifelong persistent anxiety problems, where new interventions such as NF may be particularly effective (Cohen Kadosh et al., 2013). Particularly, it has been suggested that increased emotionality and ongoing development in the neuro-cognitive bases of emotion regulation abilities during adolescence may be one of the factors contributing to the increased risk of anxiety disorders in this age group (Haller et al., in press).
This study builds on previous work by the investigators, which has established the suitability of using NF with paediatric populations (Cohen Kadosh et al., in preparation). Specifically, here, the investigators will use NF to train 50 adolescent girls with varying anxiety levels to increase effective connectivity in the neural networks involved in emotion regulation abilities (Cohen Kadosh et al., in preparation; Kohn et al., 2014; Ruiz et al., 2013). The rationale for this approach is that by improving the information flow in these brain regions, emotion regulation abilities will also improve. Moreover, the investigators hope to be able to show that in turn, improvements in emotion regulation abilities will affect overall anxiety levels. Last, by recruiting participants across a wide range of anxiety levels, the investigators will also be able to assess variations in regulation success as a function of individual anxiety levels.
Study design
- Primary purpose
- Basic science
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Behaviour and brain training | Experimental | Behavioral: questionnaires, Device: Functional magnetic resonance imaging w neurofeedbackfMRI-based neurofeedback |
Who may qualify
- Ages
- 14 to 17 years
- Sex
- Female only
- Healthy volunteers
- Accepted
- Age groups
- Child
Key inclusion criteria (3 listed)
- Female
- Aged 14-17 years
- Trait-anxiety score between 20-60
Key exclusion criteria (2 listed)
- A past or current diagnosis of a psychological or psychiatric disorder, such as anxiety, depression, psychosis, autism, substance abuse, learning difficulties.
- Known incompatibility with the scanner requirements, such as braces, non-removable piercings, tattoos or pregnancy.
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 |
|---|---|---|
| questionnairesClinical questionnaires and behavioural computer-based paradigms, such as the Overlap task (Cohen Kadosh et al., 2014) | Behavioural | Behaviour and brain training |
| Functional magnetic resonance imaging w neurofeedbackThe general framework of the scanning part of this experiment consists of a localiser task (lasting approximately 8 minutes), 4 neurofeedback runs (each lasting approximately 5 minutes) and an anatomical scan (approximately 10 minutes). Immediately prior and following the scanning session, participants will also be asked to completed several), as well as an attentional control task with emotional stimuli, such as a behavioural version of the Overlap task (Cohen Kadosh et al., 2014). | Device | Behaviour and brain training |
Primary outcome
Proof of concept for using NF in anxious adolescents
Time frame: 12 months
Primary outcome will be that anxious participants learn to self-regulate brain activation. This will be assessed by quantifying the percent signal change in the BOLD signal in specific brain regions.
8 secondary outcomes
Improved emotion regulation skills (questionnaires, behavioural tasks)
Time frame: 12 months
Successful reduction in anxious mood (questionnaire)
Time frame: 12 months
Demographics (Demographic questionnaire)
Time frame: 12 months
Thought control abilities (questionnaire)
Time frame: 12 months
IQ levels (Wechsler Abbreviated Intelligence Scale)
Time frame: 12 months
Emotion regulation skills (Cognitive Emotion Regulation Questionnaire)
Time frame: 12 months
Mood and feelings (Moods and feelings questionnaire)
Time frame: 12 months
Debriefing interview questionnaire
Time frame: 12 months
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 10 Nov 2016.
- Background: PubMed 23786475Cohen Kadosh K, Linden DE, Lau JY. Plasticity during childhood and adolescence: innovative approaches to investigating neurocognitive development. Dev Sci. 2013 Jul;16(4):574-83. doi: 10.1111/desc.12054. Epub 2013 May 28.
- Background: PubMed 17988931deCharms RC. Reading and controlling human brain activation using real-time functional magnetic resonance imaging. Trends Cogn Sci. 2007 Nov;11(11):473-81. doi: 10.1016/j.tics.2007.08.014. Epub 2007 Nov 7.
- Background: PubMed 25818181Haller SP, Cohen Kadosh K, Scerif G, Lau JY. Social anxiety disorder in adolescence: How developmental cognitive neuroscience findings may shape understanding and interventions for psychopathology. Dev Cogn Neurosci. 2015 Jun;13:11-20. doi: 10.1016/j.dcn.2015.02.002. Epub 2015 Feb 28.
- Background: PubMed 24220041Kohn N, Eickhoff SB, Scheller M, Laird AR, Fox PT, Habel U. Neural network of cognitive emotion regulation--an ALE meta-analysis and MACM analysis. Neuroimage. 2014 Feb 15;87:345-55. doi: 10.1016/j.neuroimage.2013.11.001. Epub 2013 Nov 9.
- Background: PubMed 22243743Linden DE. The challenges and promise of neuroimaging in psychiatry. Neuron. 2012 Jan 12;73(1):8-22. doi: 10.1016/j.neuron.2011.12.014.
- Background: PubMed 22021045Ruiz S, Lee S, Soekadar SR, Caria A, Veit R, Kircher T, Birbaumer N, Sitaram R. Acquired self-control of insula cortex modulates emotion recognition and brain network connectivity in schizophrenia. Hum Brain Mapp. 2013 Jan;34(1):200-12. doi: 10.1002/hbm.21427. Epub 2011 Oct 22.
- Background: PubMed 15188865Weiskopf N, Mathiak K, Bock SW, Scharnowski F, Veit R, Grodd W, Goebel R, Birbaumer N. Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). IEEE Trans Biomed Eng. 2004 Jun;51(6):966-70. doi: 10.1109/TBME.2004.827063.
- Background: PubMed 16289548Weiskopf N, Scharnowski F, Veit R, Goebel R, Birbaumer N, Mathiak K. Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI). J Physiol Paris. 2004 Jul-Nov;98(4-6):357-73. doi: 10.1016/j.jphysparis.2005.09.019. Epub 2005 Nov 10.
- Derived from this study: PubMed 34048901Haugg A, Renz FM, Nicholson AA, Lor C, Gotzendorfer SJ, Sladky R, Skouras S, McDonald A, Craddock C, Hellrung L, Kirschner M, Herdener M, Koush Y, Papoutsi M, Keynan J, Hendler T, Cohen Kadosh K, Zich C, Kohl SH, Hallschmid M, MacInnes J, Adcock RA, Dickerson KC, Chen NK, Young K, Bodurka J, Marxen M, Yao S, Becker B, Auer T, Schweizer R, Pamplona G, Lanius RA, Emmert K, Haller S, Van De Ville D, Kim DY, Lee JH, Marins T, Megumi F, Sorger B, Kamp T, Liew SL, Veit R, Spetter M, Weiskopf N, Scharnowski F, Steyrl D. Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. Neuroimage. 2021 Aug 15;237:118207. doi: 10.1016/j.neuroimage.2021.118207. Epub 2021 May 25.
- Derived from this study: PubMed 32574803Zich C, Johnstone N, Luhrs M, Lisk S, Haller SP, Lipp A, Lau JY, Kadosh KC. Modulatory effects of dynamic fMRI-based neurofeedback on emotion regulation networks in adolescent females. Neuroimage. 2020 Oct 15;220:117053. doi: 10.1016/j.neuroimage.2020.117053. Epub 2020 Jun 20.
- Individual participant dataSharing planned: Yes. Data may be shared across the Braintrain consortium
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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.
Kathrin ' Cohen Kadosh, PhD principal investigator
University of Oxford
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A Phase 1 study testing questionnaires and Functional magnetic resonance imaging w neurofeedback in people with Anxiety, run by University of Oxford at 1 site in United Kingdom.
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 3 inclusion and 2 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 Nov 2016. 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 United Kingdom. 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. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
What does this phase mean?
Phase 1 studies test a treatment in a small group of people for the first time or in a new way, mainly to check safety and find the right dose.
Not every study follows the same path, and some studies (observational studies, device studies) have no phase.
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 Kathrin Cohen Kadosh, PhD (01865 ext. 271349, kathrin.cohenkadosh@psy.ox.ac.uk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Proof of concept for using NF in anxious adolescents (time frame: 12 months). 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 NCT02463136, which also lists 10 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 Nov 2016.