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Examples of Taxonomy gone mad-DSM5: Illustrations from mood disorders and the teenage brain Professor Gin S. Malhi CADE Clinic, Royal North Shore Hospital Department of Psychiatry, Sydney Medical School University of Sydney Australia Executive Director CADE Clinic and ARCHI Facility University of Sydney Director, Mood Disorders Unit Northside Clinic www.cadeclinic.com CADE Clinic: Royal North Hospital CADE Clinic Clinical Assessment Diagnostic Evaluation What are the mood disorders? • Many symptoms • Focus on mood, emotions, feelings Looking at one dimension Sadness Depression But mood varies Happiness Sadness Depression Depression can occur from any starting point Normal Mood Depression Spectrum of Emotions Anger Depression Apathy Grief Irritability Boredom Anxiety Sadness Happiness Exhilaration Fear More complex emotions as well? Guilt Shame Hurt Critical Hostile Proud Trusting Thoughtful Confused Inadequate Overwhelmed Reality of Emotions Reality of emotional experience Landscape of the mind Art from Adversity A. T. Naylor 2013, Diagnosis of Bipolar Disorder: Who is in a mixed state? Malhi GS. Lancet May 2013 1599-1600 DSM5 - Diagnosis of Bipolar Image from: http://www.newgrounds.com/art/view/misterhe rbal/bipolar-disorder Other examples? • SAD – schizoaffective disorder? • Mixed anxiety and depression? OK but is this depression - bipolar? Or is it personality? mania (BP-I) hypomania (BP-II) major depression BP-II depression BP-I depression How can we distinguish Bipolar mood changes from Borderline changes in affect? Royal North Shore Hospital (02) 9926-7746 www.cadeclinic.com.au Distinguishing Bipolar Disorder Clinical Mood Emotions & Feelings Mood Affect Temperament Affect: Seconds & Minutes Mood: Hours & days Temperament: Years & decades EMOTION. CADE CLINIC Royal North Shore Hospital (02) 9926-7746 www.cadeclinic.com.au EMOTION. CADE CLINIC Royal North Shore Hospital (02) 9926-7746 www.cadeclinic.com.au APPRAISAL. CADE CLINIC Royal North Shore Hospital (02) 9926-7746 www.cadeclinic.com.au RESPONSE. CADE CLINIC Royal North Shore Hospital (02) 9926-7746 www.cadeclinic.com.au REGULATION. CADE CLINIC Royal North Shore Hospital (02) 9926-7746 www.cadeclinic.com.au ARCHI Advanced Research Clinical High-field Imaging 3 Tesla Siemens Trio Long Bore Dedicated Research Facility • Spectroscopy • Structural and Functional MRI • • • • Siemens 3Tesla Trio Hypothesis • Hypothesis: • Fronto-Limbic Network (FLN) disturbances: • Vicissitudes of mood and affective lability characterize BD and BPD respectively. • Within FLN there are key regions of interest in emotion processing and regulation: – dorsolateral, ventrolateral and dorsomedial prefrontal cortices (dl-PFC, vl-PFC, dm-PFC) & – limbic structures such as the amygdala (Ag) and hippocampus (Hi) Method • Aim: To determine the differences between BD and BPD in engaging the FLN: – Used emotional Stroop (eStroop) task and examined changes with fMRI (requires inhibition of interference from emotional stimuli). • Also investigated – whether any differential neural responses could explain differences in the clinical symptomatology of the two disorders. Interference Effect • • • • • • Green Orange Red Blue Brown White Colour Stroop • • • • • • Blue Red Brown Green White Orange E-Stroop Suicide Injection Death Medication …. Table House Napkin Catch N A N A N A A N Blocked Design N A 8 words and duration 16 sec. Six blocks of each valence alternating with baseline blocks of non-words (****) - 2 functional runs. Each word for 1500ms, + 500ms (250-750ms) inter-stimulus interval (black screen). Words not repeated & order of blocks was counter-balanced. Accuracy and speed 300 Blocks (150 Affect vs. Neutral) 10 stimuli/block Each block = 30 sec Individual stim presentation = 3 sec Response button feedback BPD=13 BP=16 HC=14 Analysis: GLM Questionnaires • On mood, emotion regulation, childhood trauma and schemas – 1) Depression Anxiety Stress Scales1 (DASS); – 2) Difficulties in Emotion Regulation Scale2 (DERS); – 3) Emotion Amplification and Reduction Scale3 (TEARS); – 4) Childhood Trauma Questionnaire4 (CTQ); – 5) NEO Five-Factor Inventory5, 6 (NEO-FFI) which measures the five main domains of personality. – Participants were also administered the Weschler Test of Adult Reading7 (WTAR) as a measure of premorbid intelligence. Demographic & Psychological Data BPD BD Healthy Controls Mean (SD) Mean (SD) Mean (SD) 32(7.9) 35.6(10.7) 31.2(11.1) F(2,40) = .84 0.439 14.6(2.4) 15.9(1.5) 15.4(1.9) F(2,39) = 1.44 0.249 1.4(1.2) 1.6(1.1) 0(0) F(2,42) = 11.47 0.000 116(5.8) 117(6.9) 117(5.7) F(2,38) = .16 0.376 54.8(6.7) 55.4(8.5) 51.3(7.0) F(2,37) = .86 0.755 DASS Total Score 26.5 (12.4) 15.0 (9.7) 6.8 (5.1) F(2, 40) = 14.33 0.000 DASS Depression 9.7 (6.7) 4.4 (4.8) 2.1 (2.7) F(2, 40) = 8.26 0.000 Neuroticism 38.1(8.9) 30.6 (4.8) 17.4 (6.2) F(2, 37) = 25.56 0.000 130.0 (18.6) 89.6 (19.6) 68.8 (17.5) F(2, 40) = 37.9 0.000 37.6 (7.7) 43.8 (6.9) 47.8 (7.6) F(2, 40) = 6.61 0.003 Statistics Measure Age (years) Years of Education Number Psychiatric Meds WTAR Standard Score CTQ (Total Score) F-Statistic p-value Questionnaires DERS Total Score TEARS Total Score Borderline and Bipolar Malhi et al. 2013. Molecular Psychiatry •Key findings from our a priori regions of interest analyses: compared to HC –both patient groups displayed a similar pattern of change involving the lateral PFC, •a reduction of neural activity in the left dl-PFC and a concomitant increase in activity in the right vl-PFC, Borderline and Bipolar Malhi et al. 2013. Molecular Psychiatry •Key –No findings sig. from differences: our a priori regions •Reaction of interest Time or analyses: compared •Response to HC Accuracy –both patient groups displayed –But a divergent a similar pattern of change neural involving the lateral activity PFC, •involving •a reduction of neural activity activity in BD in •the and left diminished dl-PFC and a concomitant Ag activity in BPD. increase in activity in the right vl-PFC, Borderline and Bipolar Greater emotion regulation difficulties associated with: lower activation in the left dl-PFC (b = -153.61), and greater activation in right vl-PFC (b = 81.27) Greater emotion regulation difficulties Borderline and Bipolar • Novel group comparison study using fMRI and emotional Stroop (needs replication) • • • • dm-PFC activation was increased in Bipolar Ag activity was decreased in Borderline Correlation of lateral PFC activations with DERS. Increased vl-PFC activity and decreased dl-PFC activity in our patients, indicates greater difficulties in regulating emotion. Left Fronto-Parietal (LFP) Right Fronto-Parietal (RFP) Anterior Default Mode (ADM) Posterior Default Mode (PDM) Fronto-TemporoParietal (FTP) Ventral DefaultMode (VDM) VDM RFP This network has been suggested to play a role in maintaining the integrity of the self, dysfunction in this network has been linked to self monitoring deficits. vMPFC vMPFC has been associated with automatic affective processing. FTP vLPFC vLPFC, dMPFC, TPJ have been suggested to be involved in theory of mind processes. ACC dMPFC ACC, TPJ have been suggested to play a role in reflected selfappraisal TPJ ADM PDM pC is suggested to be involved in the integration of multiple neural systems producing a conscious selfpercept and also to modulate conscious processing. The cortical midline structure of this network has been associated with self-referential processing and social cognition pC BPD < HC / BD BD > HC / BPD Flying ‘High’…… as a Kite But Bipolarity often begins life as Depression mania (BP-I) hypomania (BP-II) major depression BP-II depression BP-I depression But then what comes before depression? Royal North Shore Hospital (02) 9926-7746 www.cadeclinic.com.au 013. http://dx.doi.org/10.1016/j.biopsych.2013.01.030 Girls Study PARTICIPANTS 58 Adolescent girls aged 14-16 years Exclusion criteria Neurological event (eg, Traumatic Brain Injury, LOC, Epilepsy/Seizures) Learning or Developmental Disorder Any medical or physical condition that precluded Neuroimaging Girls Antecedents Study PROCEDURE i) Self-report questionnaires Personality, Coping, Self-Concept, Emotional Dysegulation, Mood, Anxiety, Eating Disorders, Psychosis, Substance Use, ADHD, Learning/Behaviour ii) Computerised neuropsychological tests (CogState) Memory, Attention, Processing speed, Executive functions, Social cognition iii) Neuroimaging Structural, functional and resting state acquisitions Girls Study GROUP ASSIGNMENT Adolescents were assigned to one of two groups according to presence or absence of sub-clinical Emotional Symptoms (ES+ and ES-) Defined by exceeding the cut-off score for one or more disorders assessed by the Child and Adolescent PsychProfiler (CAPP) e.g. Dysthymic Disorder Anxiety Disorders Girls Study Domain ES+ ES- Sig. Mood and Anxiety Depression (CDI) <0.0001 State Anxiety (STAI) 0.007 Trait Anxiety (STAI) <0.0001 Personality (NEO-FFI) Neuroticism <0.0001 Extraversion 0.044 Conscientiousness 0.002 Emotional Dysregulation (DERS) <0.0001 Self-Concept / Self-Esteem (Piers-Harris) Intellectual Abilities <0.0001 Physical Appearance & Attributes 0.002 Popularity 0.05 Strongest clinical predictors of ES+ Trait Anxiety was the strongest predictor of ES+. No other measure significantly contributed to the model. Imaging Design • Series of 60 IAPS images with standardized negative, positive and neutral affect presented on screen in 20 second blocks – 5 images per block, 2 blocks for each emotional valence per run • Interspersed with baseline blocks of greyscale blank images (6 blocks per run) – over two runs, each with a duration of four minutes. • Participants were asked to label valence of emotional images via button press. Study Paradigm Bipolar Patients Cluster MNI co-ords voxel Size x,y,z (mm) equivZ Regions Healthy Controls (HC) vs Bipolar Patients (BD) HC> BD Frontal regions dl-PFC extending to vl-PFC 274 -30, 46, 18 2.56 dlpfc 63 -36, 44, 40 2.11 159 -16, 44, 30 2.7 115 12, 50, 30 2.61 73 48, 36, -12 2.29 BD> HC Frontal regions m-PFC vl-PFC Borderline Cluster MNI co-ords voxel Size x,y,z (mm) equivZ Regions Healthy Controls (HC) vs Borderline Patients (BPD) HC> BPD Frontal regions dl-PFC 409 -32, 34, 34 3.11 143 32, 40 36 2.26 100 26, -8, -14 2.73 99 44, 38, -8 2.68 284 -44, 38, -6 2.32 Limbic regions Ag/Hippocampus BPD> HC Frontal regions vl-PFC In Conclusion • Phenotypic description based on phenomenology alone remains challenging and imprecise • Necessary to deconstruct bipolar disorder clinically and scientifically • Neural markers may assist in partitioning disorders/subtypes • Neural antecedents to mood disorders are likely to emerge early and can be potentially detected to identify those likely to develop disorders later in life Acknowledgements • Dr Pritha Das – neuroimaging analysis • Dr Carissa Coulston & Dr Kristina Fritz – statistical analyses and neuropsychological testing • CADE Clinic - Clinical & Research Team – Danielle Bargh & Michelle Tanious • Professor Vince Calhoun (Unversity of New Mexico, USA) • Professor Luan Phan (University of Illinois, USA) Thank you for kind attention References: Malhi GS. (2013) Diagnosing Bipolar Disorder: Who is in a mixed state? 381, 1599. The Lancet, Malhi GS, et al. (2013) Differential engagement of the fronto-limbic network during emotion processing distinguishes bipolar and borderline personality disorder. (doi: 10.1038/mp.2013.22). Molecular Psychiatry Das P, Coulston C, Bargh D, Tanious M, Phan L, Calhoun V, and Malhi GS. (2013) Neural Antecedents of Emotional Disorders: An fMRI Study of Subsyndromal Emotional Symptoms in Adolescent Girls. (doi.org/10.1016/j.biopsych.2013.01.030). Biological Psychiatry. THE “BIPOLAR SPECTRUM” – Cross-sectionally Classic spectrum of ‘mood’ Mood changes are continuous: – no discrete entities in reality – mood connects unipolarity and bipolarity. increasing features of elevation unipolar bipolar MDD CADE CLINIC BD-NOS Royal North Shore Hospital (02) 9926-7746 BD-II BD-I www.cadeclinic.com.au Diagnosis of Bipolar Disorder: Who is in a mixed state? Malhi GS. Lancet May 2013 1599-1600