neurogrid & psygrid (and maybe even neuropsygrid)
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NeuroGrid & PsyGrid (and maybe even NeuroPsyGrid). Stephen Lawrie & Alan Williams EdinburghManchester. - PowerPoint PPT PresentationTRANSCRIPT
NeuroGrid & PsyGrid(and maybe even NeuroPsyGrid)
Stephen Lawrie & Alan Williams
Edinburgh Manchester
A collaboration between clinical, imaging and e-scientists to create a Grid-based network of neuroimaging centres and a neuroimaging tool-kit, focused on three clinical exemplars: dementia, stroke and psychosis.
Sharing data, experience and expertise will facilitate the archiving, curation, retrieval and analysis of imaging data from multiple sites & enable large clinical studies.
The main issues in (UK) clinical brain imaging studies
• Potential:- demonstrate effects of risk factors, including genes; - early diagnosis; - treatment response / prognosis prediction;- treatment effect monitoring; - biomarker for novel drug development
• Concerns:- lack of standardisation across scanners and even in basic approach
to e.g. ‘connectivity’; - lack of normative data reference points for relevant age ranges; - safe data storage; - expense; - constantly developing technology
Neurogrid – psychosis exemplar1. Database and ontology, building on EHRS data set (0.5WTE)2. Scanner harmonisation issues, focussing on EHRS use of two machines
(1WTE)3. Combined analysis of psychosis data sets from Oxford & Edinburgh, focussing
on sex / assymmetry (1 WTE)
Registration and Partial Volume Metric for Multi-Center sMRI Scanner Harmonization Moorhead TWJ, Job DE, Gountouna V-E, Johnstone EC, Lawrie SM. HBM2005. NeuroImage 2005
Signal-to-Noise (SNR) and Contrast-to-Noise (CNR) metrics in longitudinal and multicenter MRI studies Gountouna VE, Moorhead TWJ, Job DE, Johnstone EC, Lawrie SM. HBM2005 NeuroImage 2005
Entropy as a measure of scanner and sequences change. Dominic E. Job, T. William J. Moorhead, Eve C. Johnstone, Stephen M. Lawrie. NeuroImage 2006 Volume 31, Supplement 1 Annual Meeting Human Brain Mapping, June 11-15 Florence Italy
Test-retest reliability of the Hayling sentence completion task: assessment for multicenter fMRI using voxel-wise Intraclass Correlation Coefficients (ICCs). Viktoria-Eleni Gountouna, Heather Whalley, T.William Moorhead, Dominic Job, David McGonigle, Eve Johnstone, Stephen Lawrie. HBM2006 NeuroImage 2006 Volume 31,
Edinburgh High Risk Study
• Baseline measures- genetic liability- dermatoglyphics- obstetric complications- minor physical anomalies /
neurological ‘soft signs’- CBCL- SIS- RISC
Also took blood for genes at the end of the study
• Repeated measures- substance use- life events- neuropsychology- structural MRI- functional MRI- PSE- PANSS
•A prospective study of ~200 subjects at high risk (HR) of Schizophrenia for genetic reasons i.e. initially healthy subjects aged 16-25 who had two or more close relatives with schizophrenia. Compared to first-episode cases and healthy controls on...
Edinburgh High Risk Study (EHRS)Main Results 1995-2004
Isolated and/or transient symptoms very common
Baseline risk of psychosis 20 / 162 (~12.5%)Risk in HR+ i.e. those with symptoms 18 / 80 (25%)
Most measures differed significantly between those at high risk and controls, typically with the sub-group pattern:
Con </> HR- </> HR+ <</>> HRill
Within high risk subjects, however, only AVLT, CBCL, RISC/SIS and some imaging indices predicted schizophrenia
(Johnstone et al 2005 Br J Psych)
EHRS Baseline predictors
0
1
2
3
4
5
6
7
8
9
10
AHC - L AHC - R 3V Thal - L Thal - R
FES
HR
CON
fMRI – HSCT (parametric contrast): AHC/STG
a.) R ahc/stg; b.) R lingual gyrus; c.) L ahc/stg; d.) L cerebellum
* * *
* * *
a
b
d
*
c
*
42314132
4213
4312
Neuro-anatomy: AMYG-HIPP vol & Gyrification Index R PFC
Neuro-psychology: NART IQ, WAIS-R & VRs, RBMT story & especially AVLT 1-5 total score
7
8
9
10
11
CONTROL HR- HR+ ILL
No.
item
s rec
alle
d
EHRS changes towards psychosis
GM densityReducesIn RightUncus,Fusiform &Cerebellum2.5 yrs on avge before Dx
Cannabis use and major life events are associated with psychotic symptoms and (weakly) with psychosis 2-4 yrs later. 0-2 yrs pre-diagnosis, anxiety/depression fall,typical psychotic symptoms supervene and GM density falls. But, no apparent changes in neuropsychological test scores over this time.
-2.5
-2
-1.5
-1
-0.5
0
0.5
1
1.5
Onentry
2ndtime
onfalling
ill
depression
hallucinationsand control
delusions
mania
oddness
anxiety
Mean scores on the six PSE principal components on three occasions of 8 HR subjects who fell ill (relative to NP chronics)
A health informatics project which builds on the DoH funded UK MHRN. Psygrid aims to develop the MHRN into a functioning “e-community” and build a secure electronic database to hold anonymised clinical data about people presenting to NHS services with first episode psychosis.
Towards multi-centre clinical, genetic and brain imaging studies of people at high risk of psychosis:
MRC Collaboration grant application
NeuroPsyGrid: towards an ontologyand multi-centre brain imaging in early psychosis
Neuro/PsyGrid and BIRN
• Shared interests in scanner (clinical and genetic) harmonisation and shared database, metadata and ontology for psychosis
• During discussions about NPG we thought of looking at: - a collaborative ontology; - variations across sites in clinical and biological data acquisition; - using BIRN Bio-Mediator; - 4D spatio-temporal analyses of imaging (fMRI) and genetic data; - joint work on NeuroFMA; - a requirements analysis for NPG-BIRN harmonisation.
Concluding remarks
If brain imaging is to impact on clinical practice in psychiatry, as we know it could, we urgently require:
- Multi-centre clinical studies of people in early stages of major psychiatric disorders
- Standardisation of scanners and imaging acquisition and processing techniques across mental health research networks
- Studies of normal neuro-development across age ranges of relevance to (adult) psychiatric disorders
These would benefit, possibly even depend upon, on e-science approaches to collecting, storing and accessing data.