Login / Signup

The ReCoDe addiction research consortium: Losing and regaining control over drug intake-Findings and future perspectives.

Rainer SpanagelPatrick BachTobias BanaschewskiAnne BeckFelix BermpohlRick E BernardiChristian BesteLorenz DesernoDaniel DurstewitzUlrich W Ebner-PriemerTanja EndrassKaren D ErscheGordon FeldMartin Fungisai GerchenBjörn GerlachThomas GoschkeAnita Christiane HanssonChristine HeimStefan KiebelFalk KieferMartina KirschClemens KirschbaumGeorgia KoppeBernd LenzShuyan LiuMichael MarxenMarcus W MeinhardtAndreas Meyer-LindenbergChristiane MontagChristian P MüllerWolfgang E NagelAna M M OliveriaDavid OwaldMaximilian PilhatschJosef PrillerMichael A RappMarkus ReichertStephan RipkeKerstin RitterNina Romanczuk-SeiferthFlorian SchlagenhaufEmanuel SchwarzSarah SchwöbelMichael N SmolkaSurjo R SoekadarWolfgang H SommerAnn-Kathrin StockAndreas StröhleHeike TostSabine Vollstädt-KleinHenrik WalterTina WaschkeStephanie H WittAndreas Heinznull null
Published in: Addiction biology (2024)
Substance use disorders (SUDs) are seen as a continuum ranging from goal-directed and hedonic drug use to loss of control over drug intake with aversive consequences for mental and physical health and social functioning. The main goals of our interdisciplinary German collaborative research centre on Losing and Regaining Control over Drug Intake (ReCoDe) are (i) to study triggers (drug cues, stressors, drug priming) and modifying factors (age, gender, physical activity, cognitive functions, childhood adversity, social factors, such as loneliness and social contact/interaction) that longitudinally modulate the trajectories of losing and regaining control over drug consumption under real-life conditions. (ii) To study underlying behavioural, cognitive and neurobiological mechanisms of disease trajectories and drug-related behaviours and (iii) to provide non-invasive mechanism-based interventions. These goals are achieved by: (A) using innovative mHealth (mobile health) tools to longitudinally monitor the effects of triggers and modifying factors on drug consumption patterns in real life in a cohort of 900 patients with alcohol use disorder. This approach will be complemented by animal models of addiction with 24/7 automated behavioural monitoring across an entire disease trajectory; i.e. from a naïve state to a drug-taking state to an addiction or resilience-like state. (B) The identification and, if applicable, computational modelling of key molecular, neurobiological and psychological mechanisms (e.g., reduced cognitive flexibility) mediating the effects of such triggers and modifying factors on disease trajectories. (C) Developing and testing non-invasive interventions (e.g., Just-In-Time-Adaptive-Interventions (JITAIs), various non-invasive brain stimulations (NIBS), individualized physical activity) that specifically target the underlying mechanisms for regaining control over drug intake. Here, we will report on the most important results of the first funding period and outline our future research strategy.
Keyphrases
  • physical activity
  • mental health
  • healthcare
  • adverse drug
  • depressive symptoms
  • public health
  • risk assessment
  • machine learning
  • electronic health record
  • social media
  • white matter
  • brain injury
  • alcohol use disorder