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Aberdeen Children of the 1950s Aberdeen Children of the 1950s

Aberdeen Children of the 1950s - PowerPoint Presentation

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Aberdeen Children of the 1950s - PPT Presentation

amp Brain MRI Alison Murray Roland Sutton Professor of Radiology Aberdeen Child Development Survey December 1962 14939 children aged 6 12 Family study in subset WHEAZE studies of 1962 and 1999 ID: 534773

amp cognitive aberdeen brain cognitive amp brain aberdeen mri abc36 ability age study imaging aged test reserve children health

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Slide1

Aberdeen Children of the 1950s& Brain MRI

Alison MurrayRoland Sutton Professor of RadiologySlide2

Aberdeen Child Development SurveyDecember 1962

14,939 children aged 6 – 12Family study in subset – WHEAZE studies of 1962 and 1999First use of Rutter B

Illsley R & Wilson F. ACSD In: Prospective longitudinal research OUP 1981Bodner C et al. Eur. Resp J. 1999

Rutter M. J Child Psychol & Psychiatry 1967Slide3

Aberdeen Children of the 1950s12,150 ACDS linked Aberdeen Maternal & Neonatal Databank

1998 - 2002 traced + postal questionnaire = Aberdeen Children of the 1950s513 survivors + relatives recruited as Aberdeen GS:SFHS 2009-10259+ STRADL 2015-2019

Batty GD et al.

Paediatric & Perinatal Epidemiology 2004; 18:221-239Slide4

Magnetic resonance imagingNon-invasiveNo ionising

radiationGives fabulous detail of brainCan measure structure, function, areas of damage, connectivity…Long experience in Aberdeen - 1979Slide5

The Aberdeen Birth Cohorts

Local survivors of the Scottish Mental Surveys of 1932 and 1947 – also exist in LothianAt age ~11 all sat the same intelligence test, the Moray House Test No.12

Recruited into two longitudinal studies of health and cognitive ageing ABC21 and ABC36Brain MRI introduced 1999 in ABC21, imaged on Siemens 1T, and 2003 in ABC36, imaged on GE 1.5T

Deary IJ et al.

Intelligence

2000

Ashley Road Primary School 1947Slide6

Brain imaging measures in ABC36

Hippocampal volume, white matter hyperintensities and changeSlide7

The balance of MRI changes & reserve

Education

attainment

Occupation

grade

Cognitive

ability

MRI brain

imaging

Late life cognitive ability

‘g’

extracted by PCA

Brain

ischaemia

v

isual

assessmt

Scheltens

Scale

Atrophy

hippo volume

Freesurfer

Aged 11y

Cognitive

ability

Moray House

Test

1947

Aged 68y

2004Slide8

ABC36 reserve studySlide9

ABC36 reserve studySlide10

ABC36 reserve study

Murray AD et al.

Brain

2011Slide11

Socioeconomic circumstance and brain MRI

Methods

Age 68y

(2004)

WMH

‘+/- Risk’

Cognitive

ability

Moray House

Test

11y

‘Early life’

(~1936)

Life Stage

Adult Life

Education

Adult

SEC

Hypertension

Highest

Qualification

Adult

Occupation

Measured

or Historic

Socioeconomic

Circumstance

(SEC)

ABC

1936

Data

Paternal

Occupation

Staff RT et al.

Annals Neurol.

2012:

; 71:653–660.Slide12

SEC and WMH

unskilled

managerial

Murray AD et al.

PLoS

ONE

2014;9(2): e 88969Slide13

Assessment of physical, mood and cognitive variables in ABC36Methods

Cognitive

Ability

Brain Imaging

Aged 68y

Depressive

Symptoms

HADS Anxiety and Depression

scale

-

level

of depression

in subclinical and clinical cases

T2

and FLAIR

Images:

WMH

measured

using

Scheltens

Scoring (blinded observer)

Physical

Health

Time to walk 6m in seconds

Peak Expiratory Flow Rate (best of 3 attempts)

Data from 4 cognitive tests is

used to calculate

‘g’

- “general cognitive factor”

Statistical Analysis

- Correlation analysis

- Structural equation modellingSlide14

Path diagram of SEM analysisMethods

Model fit = excellentCmin/df = 0.429CFI = 1.00

‘g

e5

Physical Health

e1

GMH

ITH

Depressive Symptoms

Deep Brain Hyperintensities

e1

e1

e2

0.24

0.70

0.57

0.19

0.77

0.52

-0.18

-0.22

0.13

0.79

0.51

-0.17

-0.22

-0.20

-0.29

0.17

0.79

0.51

-0.21

-0.28

‘g

e5

Murray AD et al.

Archives of Geriatrics & Gerontology

2016Slide15

Structural complexity

Fractal properties:

- fine structure at arbitrarily small scales

- self-similar

- too irregular to be described in traditional

geometric

language

Koch curve

Koch snowflake

As branching of a fernSlide16

Structural complexityFD age 68 associated with higher cognitive ability and better retention age 11 - 68

FD between ages 68 and 73 and showed significant decline. Most cognitive tests also showed declinePeople

retained in the study had larger and more complex brains and had superior cognitive abilities

Decreased brain complexity with age

Mustafa N et al.

Neuroimage

2012

Sandu

AL et al

NeuroImage

2014Slide17

Setting up STRADL in Aberdeen:

Recruiting &

testing participants

Slide18

Staff training

GCPCognitive AssessmentPsychiatry Training (SCID)

Suicide Intervention TrainingLab InductionBlood ProcessingVolunteer ParticipantsTraining for other centresSlide19

Structure and timings of testing days

MRIClinicalCognitiveSlide20

Clinical

Height, Weight & BP Grip Strength

HADS-A (Hospital Anxiety & Depression Scale)QUIDS (Quick Inventory of Depressive Symptomology)Childhood Trauma

Drug Use (Cannabis)SCID (Structured Clinical Interview for DSM-IV-TR Axis I Disorders)Hair & Blood SamplesSlide21

Cognitive

EPQ-R (Eysenck et al Personality &Individual Differences)Logical Memory & Delayed Logical Memory

Digit Symbol CodingVerbal FluencyMill Hill Vocabulary

GHQ (General health Questionnaire)Matrix ReasoningHot Cognitive TestingSlide22

Brain MRI protocolStructural3DT1

3D T23D FLAIRSWIDTIFunctionalEkman faces

Gambling challengeResting state (= functional connectivity)Slide23

Brain MRISlide24
Slide25
Slide26

Aberdeen Grammar SchoolSlide27

Aberdeen Grammar SchoolSlide28

Acknowledgements

Brain Imaging Team OthersRoger Staff Claude WischikGordon Waiter

Lawrence WhalleyChris McNeil Joanna WardlawAnca Sandu Ian DearyVesna Vuksanovic Dave Wyper

Dorota Chapko Andrew McIntosh Leela NarayananArnab Rana