Aspects of Self-harm - Cognition, Imaging and Treatability
1 other identifier
observational
300
1 country
1
Brief Summary
Deliberate self-harm (DSH) is a common symptom in psychiatric disorders. This study aim at increased understanding of parameters associated with DSH with the long term goal to potentially improve and possibly personalise its treatment. In short, the study will characterise cognitive, psychiatric and demographic factors with focus on executive function and will compare results from individuals with DSH, individuals who have ceased DSH as well as psychiatric patients without DSH and individuals who never engaged in DSH. Adequate statistical tests will be used to compare groups. Participants will be interviewed by a trained physician for basic medical history, history of self-harm and treatment for that, demographic data and diagnostic evaluation. Thereafter the participants will undergo standardised neuropsychological testing focusing on emotional response inhibition, decision making and risk taking, attention set shifting, working memory, inhibition and planning. Some participants will redo parts of this testing during fMRI, as well as undergo DTI and volumetry.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Apr 2021
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 29, 2021
CompletedStudy Start
First participant enrolled
April 30, 2021
CompletedFirst Posted
Study publicly available on registry
May 28, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2025
CompletedAugust 6, 2025
August 1, 2025
4.7 years
April 29, 2021
August 1, 2025
Conditions
Outcome Measures
Primary Outcomes (5)
Executive functioning
Scores on cognitive tests measuring executive functioning
Up to 1 hour
Level of function in daily life
Scores on WHODAS 2.0
30 days
Personality traits
Scores on Personality Inventory for DSM-5
More than 1 year (stable)
Blood flow
Blood flow in prefrontal cortex during neurocognitive tests
Up to 1 hour
Volumetry
Volumes of local cerebral white matter
Up to 1 hour
Study Arms (4)
Deliberate self-harm
Individuals with psychiatric disorders and persistent DSH
Clinical cases who ceased self-harm
Individuals with psychiatric disorders who have ceased DSH
Clinical cases with no self-harm
Individuals with psychiatric disorders who never had DSH
Healthy controls
Healthy controls who never had DSH
Interventions
Emotional Stop Signal Task (modified version from CANTAB). Outcome Measure is commission and omission errors - higher score (percentage) indicate worse performance.
Functional Magnetic Resonance Imaging (fMRI) Diffusion Tensor Imaging (DTI) Volumetry
Self-reported data on World Health Organizations Disability Assessment Schedule - 36 items self-administered (WHODAS 2.0). Assessing six domains of functional disability in daily life. Each item is rated on a Likert scale ranging from 0-4. Total range 0 - 144. High scores scores indicate more severe disability.
Self-rated personality traits through Personality Inventory for DSM-5 (PID-5). Self-reported scores on domains of personality traits. Higher scores in one domain indicate more pronounced traits in this domain.
The estimate of time where an individual can successfully inhibit their responses 50% of the time.
1. The number of trials for which the outcome was an incorrect response (subject pressed the incorrect button within the response window), calculated across all assessed trials. 2. The total number of times that the subject chose a wrong stimulus - i.e. one incompatible with the current rule, adjustment for every stage that was not reached.
1. The number of times the subject incorrectly revisits a box in which a token has previously been found. Calculated across all assessed four, six and eight token trials. 2. The number of times a subject begins a new search pattem from the same box they started with previously. If they always begin a search from the same starting point, we infer that the subject is employing a planned strategy for finding the tokens. Therefore, a low score indicates high strategy use (1 = they always begin the search from the same box), a high score indicates that they are beginning their searches from many different boxes. Calculated across assessed trials with 6 tokens or more.
1. The number of trials for which the outcome was an incorrect response. 2. The median latency of response (from stimulus appearance to button press). Calculated across all correct, assessed trials. 3. The difference between the median latency of response on the trials that were congruent versus the trials that were incongruent. A positive score indicates that the subject is faster on congruent trials and a negative score indicates that the subject is faster on incongruent trials. A higher incongruency cost indicates that the subjects take longer to process conflicting information. 4. The difference between the median latency of response during assessed blocks in which both rules are used versus assessed blocks in which only a single rule is used. A positive score indicates that the subject responds more slowly during multitasking blocks and indicates a higher cost of managing multiple sources of information.
1. The proportion (0 - 1) of all trials where the subject chose the majority box color. Calculated over all assessed trials from both the ascending and descending conditions in which the number of boxes of each color differed. 2. Risk adjustment is a measure of sensitivity to risk, based on the ability to modify choices in the light of information about the probability of different outcomes and to track the optimal outcome on eaeh trial. The measure is calculated from the average proportion of points that the subject ehose to bet with, taking into aeeount the number of colored boxes in the majority. 3. Allows for the dissociation between risk taking and impulsivity by determining whether subjects simply just place a bet at the first opportunity. Calculated as CGT Risk Taking for all trials from the descending condition minus CGT Risk Taking for all trials from the ascending condition.
Eligibility Criteria
Clinical participants will be recruited though a cohort listed on an out-patient psychiatric clinic in Lund. Healthy controls will be recruited through through fliers placed on public advertisement boards.
You may qualify if:
- Adults 18-65 years.
- Ability to leave informed consent.
- Understands and uses the Swedish language without significant difficulties.
- Psychiatric disorder and ongoing treatment at an adult psychiatric clinic.
- DSH at least five times during the last three months, and DSH at least ten times during at least one year.
You may not qualify if:
- No history of DSH, and/or DSH fewer than five times during the last three months and fewer than ten times during at least one year
- Diagnosis of Intellectual disability
- Diagnosis of chronic psychotic disorder
- Hearing disability, visual impairment or motor disorder that rules out the ability to complete neurocognitive tasks
- Adults 18-65 years.
- Ability to leave informed consent.
- Understands and uses the Swedish language without significant difficulties.
- Psychiatric disorder and ongoing treatment at an adult psychiatric clinic.
- No DSH during the last three months, but DSH at least ten times during at least one year.
- Any DSH during the last three months, and/or fewer than ten times during the at least one year
- Diagnosis of Intellectual disability
- Diagnosis of chronic psychotic disorder
- Hearing disability, visual impairment or motor disorder that rules out the ability to complete neurocognitive tasks
- Adults 18-65 years.
- Ability to leave informed consent.
- +12 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Region Skanelead
- Lund Universitycollaborator
Study Sites (1)
Psykiatri och habilitering, Region SkĂ¥ne
Lund, SkĂ¥ne County, 22185, Sweden
Related Publications (10)
Allen KJ, Hooley JM. Inhibitory control in people who self-injure: evidence for impairment and enhancement. Psychiatry Res. 2015 Feb 28;225(3):631-7. doi: 10.1016/j.psychres.2014.11.033. Epub 2014 Dec 2.
PMID: 25510907BACKGROUNDAllen KJ, Hooley JM. Negative mood and interference control in nonsuicidal self-injury. Compr Psychiatry. 2017 Feb;73:35-42. doi: 10.1016/j.comppsych.2016.10.011. Epub 2016 Nov 4.
PMID: 27888700BACKGROUNDAllen KJD, Hooley JM. Negative Emotional Action Termination (NEAT): Support for a Cognitive Mechanism Underlying Negative Urgency in Nonsuicidal Self-Injury. Behav Ther. 2019 Sep;50(5):924-937. doi: 10.1016/j.beth.2019.02.001. Epub 2019 Feb 14.
PMID: 31422848BACKGROUNDMcHugh CM, Chun Lee RS, Hermens DF, Corderoy A, Large M, Hickie IB. Impulsivity in the self-harm and suicidal behavior of young people: A systematic review and meta-analysis. J Psychiatr Res. 2019 Sep;116:51-60. doi: 10.1016/j.jpsychires.2019.05.012. Epub 2019 May 17.
PMID: 31195164BACKGROUNDAckerman JP, McBee-Strayer SM, Mendoza K, Stevens J, Sheftall AH, Campo JV, Bridge JA. Risk-sensitive decision-making deficit in adolescent suicide attempters. J Child Adolesc Psychopharmacol. 2015 Mar;25(2):109-13. doi: 10.1089/cap.2014.0041. Epub 2014 Sep 29.
PMID: 25265242BACKGROUNDOldershaw A, Grima E, Jollant F, Richards C, Simic M, Taylor L, Schmidt U. Decision making and problem solving in adolescents who deliberately self-harm. Psychol Med. 2009 Jan;39(1):95-104. doi: 10.1017/S0033291708003693. Epub 2008 Jun 23.
PMID: 18570698BACKGROUNDChamberlain SR, Odlaug BL, Schreiber LR, Grant JE. Clinical and neurocognitive markers of suicidality in young adults. J Psychiatr Res. 2013 May;47(5):586-91. doi: 10.1016/j.jpsychires.2012.12.016. Epub 2013 Jan 26.
PMID: 23357208BACKGROUNDFikke LT, Melinder A, Landro NI. Executive functions are impaired in adolescents engaging in non-suicidal self-injury. Psychol Med. 2011 Mar;41(3):601-10. doi: 10.1017/S0033291710001030. Epub 2010 May 19.
PMID: 20482935BACKGROUNDGvirts HZ, Braw Y, Harari H, Lozin M, Bloch Y, Fefer K, Levkovitz Y. Executive dysfunction in bipolar disorder and borderline personality disorder. Eur Psychiatry. 2015 Nov;30(8):959-64. doi: 10.1016/j.eurpsy.2014.12.009. Epub 2015 Oct 21.
PMID: 26647872BACKGROUNDThompson C, Ong ELC. The Association Between Suicidal Behavior, Attentional Control, and Frontal Asymmetry. Front Psychiatry. 2018 Mar 14;9:79. doi: 10.3389/fpsyt.2018.00079. eCollection 2018.
PMID: 29593586BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Sofie Westling, MD PhD
Region SkĂ¥ne
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- MD, associate professor
Study Record Dates
First Submitted
April 29, 2021
First Posted
May 28, 2021
Study Start
April 30, 2021
Primary Completion
December 31, 2025
Study Completion
December 31, 2025
Last Updated
August 6, 2025
Record last verified: 2025-08