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Predicting psychosis using neurobiology: Where are we now? Stephen Wood

Predicting psychosis using neurobiology: Where are we now?

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Predicting psychosis using neurobiology: Where are we now?. Stephen Wood. Acknowledgements…. NHMRC (Australia) NARSAD Prof Chris Pantelis Prof Pat McGorry Dr Dennis Velakoulis Prof Alison Yung A/Prof Murat Yücel. The Psychiatrist - Jose Perez. Prediction of Schizophrenia. - PowerPoint PPT Presentation

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Page 1: Predicting psychosis using neurobiology: Where are we now?

Predicting psychosis using neurobiology:Where are we now?

Stephen Wood

Page 2: Predicting psychosis using neurobiology: Where are we now?

Acknowledgements…

• NHMRC (Australia)• NARSAD• Prof Chris Pantelis• Prof Pat McGorry• Dr Dennis Velakoulis• Prof Alison Yung• A/Prof Murat Yücel

Page 3: Predicting psychosis using neurobiology: Where are we now?

The Psychiatrist - Jose Perez

Page 4: Predicting psychosis using neurobiology: Where are we now?

Prediction of Schizophrenia• Imagine that the year is 2006. . . . . . As the new

century dawns, a youthful, callow invitee, intent on publishing rather than perishing, is asked to review the early studies on risk-for-schizophrenia research for the Intergalactic Institute of Mental Health. He sets out to trace early longitudinal investigations, surveys the now definitive follow-up data, assigns the children now grown to middle age into disordered and adaptive groups, and comes to the inescapable conclusion that efficiency of predictions, based on their biologic and psychologic statuses, is depressingly low (Garmezy, 1978).

Page 5: Predicting psychosis using neurobiology: Where are we now?

Clinical (‘Ultra’) high-risk

• Around 23 different studies currently in existence

• Provide high transition rates in a short time (1-2 years)

• However…– Major methodological and conceptual differences– State effects present at baseline– Not representative of all who develop psychosis

Page 6: Predicting psychosis using neurobiology: Where are we now?

UHR Criteria

• Differs from genetic high-risk studies because participants are help-seeking and functionally impaired

• About half have a mental disorder at intake

Yung et al., (2004) Schizophrenia Research

Page 7: Predicting psychosis using neurobiology: Where are we now?

Transition to psychosis• 35% of UHR

patients developed psychosis over 12 months

• About half have a diagnosis of schizophrenia

• Not becoming psychotic does not mean ‘well’

Yung et al., (2004) Schizophrenia Research

Page 8: Predicting psychosis using neurobiology: Where are we now?

METHODOLOGY - VOLUME MEASURES

Posterior - greatest length of fornixSuperior border - superior border of hippocampusMedial border - open end of hippocampal fissure

posteriorly, uncal fissure in body of hippocampus, medial aspect of gyrus ambiens anteriorlyLateral - temporal hornInferior border - nearest white matterAnterior border - alveus b/n hippocampus and amygdala

(Cook et al 1992)

The hippocampus was traced manually, using the above criteria, by DV (intrarater reliability=0.85).

Hippocampal volume estimation

Page 9: Predicting psychosis using neurobiology: Where are we now?

Brain regions implicated in schizophrenia: Global vs Focal ?

Anterior Anterior CingulateCingulate

DorsolateDorsolateral ral

Prefrontal Prefrontal CortexCortex

Orbital Orbital Prefrontal Prefrontal

CortexCortex

HippocampuHippocampuss

Page 10: Predicting psychosis using neurobiology: Where are we now?

Velakoulis et al, 2006

Page 11: Predicting psychosis using neurobiology: Where are we now?

Influence of family history of psychosis

Boos et al, 2007

Page 12: Predicting psychosis using neurobiology: Where are we now?

Wood et al Schizophr Res (2005)

Page 13: Predicting psychosis using neurobiology: Where are we now?

Automated analysis - UHR-psychotic vs nonpsychotic

Borgwardt et al, 2007Pantelis et al, 2003

Page 14: Predicting psychosis using neurobiology: Where are we now?

Pituitary volume in Psychosis

Page 15: Predicting psychosis using neurobiology: Where are we now?

Survival Analysis of Time to Psychosis

Below

Above

Time From Scan to Psychosis or to Follow-Up (Years)

43210

Cum

ulat

ive

Surv

ival

1.0

.8

.6

.4

.2

0.0

Risk for PsychosisBelow median: 32% P and 59% NP (Risk=0.55)Above median: 68% P and 41% NP (Risk=1.64)

Relative Risk=3.0P=0.014

Garner et al, 2005

Page 16: Predicting psychosis using neurobiology: Where are we now?
Page 17: Predicting psychosis using neurobiology: Where are we now?

Verbal memory

Seidman et al 2010

Ozgurdal et al 2009

Page 18: Predicting psychosis using neurobiology: Where are we now?

Visual & Verbal Memory

-0.8

-0.7

-0.6

-0.5

-0.4

-0.3

-0.2

-0.1

0Designs Story recall Verbal pairs

Effec

t size

UHR-PUHR-NP

Brewer et al 2005

Page 19: Predicting psychosis using neurobiology: Where are we now?
Page 20: Predicting psychosis using neurobiology: Where are we now?
Page 21: Predicting psychosis using neurobiology: Where are we now?

SMELL IDENTIFICATION PRE-

PSYCHOSIS ONSET

Brewer et al, Am J Psychiatr, 2003

*

* P<0.05

*

Page 22: Predicting psychosis using neurobiology: Where are we now?

More adventures in hippocampal volume

-14

-12

-10

-8

-6

-4

-2

0

2

4

6

Perc

ent d

iffer

ence

from

con

trols

LeftRight

UH

R-P

UH

R-P

UH

R-P

UH

R-N

P

UH

R-N

P

UH

R-N

P

Wood et al 2010

Buehlmann et al 2010

Wittman et al 2010

Page 23: Predicting psychosis using neurobiology: Where are we now?

Adventures beyond volume - MRS

NAA

mICho Cr

Glx

Lac

NAA – N-acetylaspartate

Cr – Creatine & Phospho-creatine

Cho – Choline-containing compounds

mI – myo-inositol

Glx – Glutamate/glutamine

Lac - Lactate

Page 24: Predicting psychosis using neurobiology: Where are we now?

No significant differences for any ratio

.0

.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

NAA/Cr Cho/Cr NAA/Cho

FEUHRCtrl

Medial temporal lobe

Wood et al, Schizophr Bull, 2003

Page 25: Predicting psychosis using neurobiology: Where are we now?

Adventures beyond volume

Page 26: Predicting psychosis using neurobiology: Where are we now?
Page 27: Predicting psychosis using neurobiology: Where are we now?

T2 relaxometry• Non-specific but highly sensitive measure of brain

pathology• Longer T2 associated with gliosis and oedema

– E.g. hippocampal sclerosis– ? neurodevelopmental lesions

• Shorter T2 associated with reduced water content and iron deposition– E.g. Alzheimer’s disease

• T2 in schizophrenia may be– Longer in frontal grey & caudate (Andreasen, 1991)– Longer in temporal lobe & hippocampus (Williamson, 1992)

Page 28: Predicting psychosis using neurobiology: Where are we now?

29 ms

231 ms

TE

Page 29: Predicting psychosis using neurobiology: Where are we now?

Participants & Methods

• 66 ultra high-risk patients– Mean age 19.2– 38% male

• 29 controls– Mean age 21.1– 38% male

• Regions-of-interest traced on maps blind to diagnosis– Hippocampus– Superior temporal

gyrus

Page 30: Predicting psychosis using neurobiology: Where are we now?

Hippocampal head (L) & body (R)

Page 31: Predicting psychosis using neurobiology: Where are we now?

Results

90

92

94

96

98

100

102

104

106

108

Head BodyRIGHT

ControlUHR-PUHR-NP

90

92

94

96

98

100

102

104

106

108

Head BodyLEFT

T2 re

laxa

tion

time

(mse

c)

Side x group x region; p=0.003

Page 32: Predicting psychosis using neurobiology: Where are we now?

A brief pilot study…• Lithium is thought to be neuroprotective at therapeutic doses

– 4 weeks of lithium produced a significant increase in NAA in medication-free bipolar subjects and healthy controls (Moore et al 2000)

– Lithium acts to stimulate production of mitochondrial bcl-2

• This study aims to determine whether chronic, low-dose lithium exerts neurotrophic effects in the hippocampi of those at ultra-high risk of developing psychosis

Page 33: Predicting psychosis using neurobiology: Where are we now?

Participants

• Consecutive referrals to the Personal Assessment and Crisis Evaluation (PACE) Clinic– Aged between 14 and 30– At risk for psychosis according to definied criteria

• Offered entry into the comparison or intervention group according to referral number– Referral numbers ending 0 or 5 offered lithium first– Lithium group took 450 mg of slow-release lithium carbonate

each night for the length of the interval between scans

Page 34: Predicting psychosis using neurobiology: Where are we now?
Page 35: Predicting psychosis using neurobiology: Where are we now?

Results

93

94

95

96

97

98

99

100

101

Control Lithium

BaselineFollow-up

Time x group; p=0.018

Page 36: Predicting psychosis using neurobiology: Where are we now?

Follow up

Count Percent

Interview completed 311 74.8

Interview refused 49 11.8

Cannot be found 47 11.3

Dead 9 2.2

Total 416* 100.0

* Transition status available on 411 subjects

Page 37: Predicting psychosis using neurobiology: Where are we now?

Transition rate - Survival curve

0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000 55000

0.2

0.4

0.6

0.8

1

Number of days from entry

Est

imat

ed tr

ansi

tion

rate

Page 38: Predicting psychosis using neurobiology: Where are we now?

PACE 400 Follow-up Study

1994 – 2006

N = 416

Early participants at PACE

1994 – 2000

n = 198

Later participants at PACE

2000 – 2006

n = 218

Later participants at PACE

2000 – 2006

n = 218

Later participants at PACE

2000 – 2006

n = 218

Psychopathology Assessment (+CAARMS)Functional Outcome

Neurocognitive AssessmentNeuroimaging

GeneticsOther: schizotypy, family history, drug use

Page 39: Predicting psychosis using neurobiology: Where are we now?

Transition to psychosis

Visual memoryOdds ratio = 0.94, 95% CI = 0.90 – 0.98, p = 0.001

42%

Page 40: Predicting psychosis using neurobiology: Where are we now?
Page 41: Predicting psychosis using neurobiology: Where are we now?
Page 42: Predicting psychosis using neurobiology: Where are we now?

198 individuals at UHR of psychotic disorder

(1994 - 2000)

Deceased n = 8 (4%)

Face to face assessment n = 120 (61%)

Brief telephone assessment n = 18 (9%)

Refused n = 26 (13%)

Could not be located n = 26 (13%)

Face to face assessment

n = 120

(61%)

Page 43: Predicting psychosis using neurobiology: Where are we now?

Where are they now?

Mean GAF score63

Work/study/home duties full-time

63%

Completed Year 12 53%

Living independently

75%Married or in a relationship

48%

Transitioned to psychosis

42%

Page 44: Predicting psychosis using neurobiology: Where are we now?

0

2

4

6

8

10

12

14

16

18

≤ 30 61 - 70 71 - 80 81 - 90 91 - 10041 - 5031 -40

Transitioned to psychosis Never transitioned to psychosis

Global assessment of functioning (GAF) scores at follow-upN

umbe

r of p

artic

ipan

ts

GAF score

Page 45: Predicting psychosis using neurobiology: Where are we now?

Poor functioning groupFull-time

work/study

GAF score

Completed Yr 12

Married or in relationship

Living independently

Diagnosis of schizophrenia

Ever psychotic

16%

37%63%

16%

48%

32%

40

Page 46: Predicting psychosis using neurobiology: Where are we now?

Poor functioning

group

Poor verbal memory –

storiesOdds ratio = 0.70

95% CI = 0.55 – 0.90

p = .005

Poor verbal memory –

storiesLower mania

scoresHigher BPRS

scoresHigher SANS

scores

Page 47: Predicting psychosis using neurobiology: Where are we now?

Odds for poor functioning

Verbal IQ

≥ 1 s.d. below the mean

Odds ratio = 6.30, p = .007 Odds ratio = 14.00, p = 0.001

Verbal Memory Index

≥ 1 s.d. below the mean

Page 48: Predicting psychosis using neurobiology: Where are we now?
Page 49: Predicting psychosis using neurobiology: Where are we now?

Psy

chot

ic s

ympt

oms

Impairment in Functioning

Psychotic threshold

Page 50: Predicting psychosis using neurobiology: Where are we now?

Return of the hippocampus

2400

2500

2600

2700

2800

2900

3000

3100

3200

3300

UHR-P UHR-NP

Hipp

ocam

pal v

olum

e

Good outcomeAverage outcomePoor outcome

Page 51: Predicting psychosis using neurobiology: Where are we now?

Conclusion• Hippocampal volume probably not specific• Not enough data on hippocampal memory

function• Non-volumetric imaging data looks

interesting• Important to know what we are trying to

predict

Page 52: Predicting psychosis using neurobiology: Where are we now?