BS42017 L6,7,8 Flashcards
what is the criteria for a depressive episode in ICD-10 criteria?
At least two of the following: - Depressed mood - Loss of interest and enjoyment - Reduced energy - Fatigue - Diminished activity Plus at least three of: - Reduced concentration and attention - Low self-esteem and confidence - Ideas of guilt and unworthiness - Pessimism - Ideas or acts of self harm - Disturbed sleep - Reduced appetite For at least 2 weeks!
what can you say about the diagnostic bar for depression?
it is set too low
how long does an uncomplicated moderate episode of depression last?
4-6 months
what can be used to quantify illness severity? (3)
long established rating scales eg. Beck Depression Inventory, 17-item Hamilton, MADRS.
what could be used to treat “mild” illness?
cognitive behavioural therapy (CBT)
what could be used to treat moderate-severe illness?
antidepressants and ECT?
what does an “adequate trial” of antidepressants include?
prescriptions of specific antidepressant above a specific minimum dose for a minimum of 6 weeks with reasonable certainty the patient took the medication as prescribed
what determines treatment-resistance?
number of failed adequate trials
what are the five research domain criteria (RDoC)?
- Negative valence system- e.g. fear, anxiety, loss, non-reward
- Positive valence system- e.g. reward learning and valuation, habits
- Cognitive system- e.g. attention, memory, cognitive control
- Social system- e.g. attachment, communication, perception of self/others
- Arousal/modulatory system- e.g. circadian rhythm, sleep/wake cycle.
what does positive valence do and what systems contribute to it? (7)
Positive valence system- function to mediate seeking and approach behaviours (incl. pleasure)
- Ascending dopamine systems; mesolimbic/cortical projection
- Endogenous opiate system (mu opioid receptors)
- Ventral striatum/accumbens
- Dorsal striatum (movement)
- Amygdala (conditioning/learning)
- Anterior cingulate (attention/conflict response selection)
- Orbitofrontal cortex (relative reward preference/rule learning)
what does negative valence do and what systems contribute to it? (7)
Negative valence system- functions to promote survival in the event of threat (fear/pain)
- Endogenous opioid systems (kappa receptors)
- Ascending serotonin systems
- Noradrenaline/CRF/ peptide transmitters.
- Central nucleus of amygdala
- Hippocampus
- Ventral anterior and medial hypothalamus
- Periaqueductal grey matter
how do you describe depression? (6)
- Difficulty identifying “rewarding” stimuli
- Reduced contact with previously rewarding stimuli
- Increased contact with aversive stimuli
- Overall reduction of behaviour
- Move less, eat less, lose weight, less interest in sex etc.
- Low mood
how do you describe mania? (7)
- Previously neutral stimuli become “rewarding”
- Increased exploration/overall activity
- Increased “appetite” for food, activity, sex, etc
- Intolerant of “aversion”/boredom
- Intolerant of frustration
- Elevated/elated mood
- Could be irritable
Is it possible to diagnose depression by only using a brain scan?
Many neuroimaging studies of mood disorder reporting abnormal brain structure and function show statistical differences based on standard statistical tests e.g. t-test. there is a highly significant group level difference between patients and controls (e.g. reduced hippocampal volume in MDD cf controls).
what is the problem with classical univariate statistics?
Group level (t-test) difference that is highly significant (p«0.05) may have lots of overlap on single measure e.g. hippocampal volume for individual patients. This means a single measure on its own is clinically useless.
Classical significance level (p<0.05) approach is not useful in psychiatry and there has bee no progress for over half a century as evidence of this. what is the solution to this?
a multivariate approach so instead of one measure, use lots of variables and statistical frameworks (machine learning)
Multi-centre study (Edinburgh and Aberdeen) using structural brain scans (T1 weighted) showed machine learning to be what?
machine learning based approach has 90% accuracy in diagnosis of depression.
where does the evidence of D&G’s theory come from?
- mainly animal model evidence
- a few psychopharmacology tests on humans
There is considerable evidence by the early 70s for dopamine being involved in reward. It is thought that serotonin might have what effect?
a “complementary” role (or “mirror opposite”).
what did D&G propose dorsal raphe nucleus neurons do?
functioned in opposition to dopaminergic projections, being engaged by distal cues predictive of aversive reinforcers, functioning as a “stop” or negative reinforcement signal, guiding the animal away from threats (passive avoidance) and towards dopaminergic safety cues (active avoidance).