nih mri study of normal brain development l.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
NIH MRI Study of Normal Brain Development PowerPoint Presentation
Download Presentation
NIH MRI Study of Normal Brain Development

Loading in 2 Seconds...

play fullscreen
1 / 59

NIH MRI Study of Normal Brain Development - PowerPoint PPT Presentation


  • 291 Views
  • Uploaded on

NIH MRI Study of Normal Brain Development AC Evans Ph.D. Brain Development Cooperative Group Pediatric Functional Neuroimaging: a Trans-NIH Workshop May 25, 2004 Contrast changes over time Problems with previous studies Sample sizes too small to detect subtle signals

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'NIH MRI Study of Normal Brain Development' - liam


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
nih mri study of normal brain development

NIH MRI Study of Normal Brain Development

AC Evans Ph.D.

Brain Development Cooperative Group

Pediatric Functional Neuroimaging:

a Trans-NIH Workshop

May 25, 2004

problems with previous studies
Problems with previous studies
  • Sample sizes too small to detect subtle signals
  • Heterogeneity of subject population
  • Little longitudinal data
  • Lack of demographic representativeness
  • Limited behavioral data for brain-behaviour correlation
  • Limited MRI data (typically T1 only)
  • Usually limited analysis techniques
mri study of normal brain development n 500

The National Institute on Drug Abuse

MRI Study of Normal Brain Development(N=500)

Create a database of behavioral and brain MRI development data for 0-18 years

Analyze structural-behavioural relationships

Develop technique for dissemination of results

rationale for project design
Rationale for Project Design
  • Problem:

Existing normative databases limited in size

Pooling of databases difficult. Existing databases incompatible in

        • Slice thickness
        • Pulse sequence
        • Demographics
        • Behavioural tests

One centre cannot collect large dataset fast enough to keep pace with technology

  • Solution:

Clinical trial model: multi-centre acquisition, uniform protocol

mri objectives
MRI Objectives
  • Objective 1: Anatomical MRI/Behavior (5-18)
  • Objective 2: Anatomical MRI/Behaviour (0-4)
  • Ancillary A: MR Spectroscopy
  • Ancillary B: Diffusion Tensor Imaging, Relaxometry
pediatric study centers pscs
Pediatric Study Centers (PSCs)
  • Neuropsychiatric Institute and Hospital, UCLA

McCracken

  • Children’s Hospital, Boston

Rivkin

  • Children’s Hospital of Philadelphia

Wang

  • University of Texas-Houston Medical School

Brandt

  • Children’s Hospital Medical Center, Cincinnati

Ball

  • Washington University, St. Louis

McKinstry

data coordinating center dcc
Data Coordinating Center (DCC)
  • Overall Direction Evans
  • Database Zijdenbos, Vins, Charlet, Harlap, Das
  • Behavioral Liaison Leonard, Milovan
  • MRI Acquisition Pike, Arnaoutelis
  • MRI Analysis Collins, Kitching, Lerch
  • Sampling Plan Lange (Harvard)
  • Data Transfer Zeffiro, Van Meter (Georgetown)
  • Scientific Liaison Paus
  • Clinical Liaison Ad-Dab’bagh, Webster
slide9

Clinical Coordinating Center (CCC) – St. Louis

Recruitment, behavioral measures selection/certification,

exclusions etc. for Obj 1,2 – Botteron, Almli

Behavioral QC – Rainey, Henderson,

Singer, Smith, Dubois, Warren, Edwards

DTI Processing Center (DPC) - NIH

Pierpaoli, Basser, Rohde, Chang

MRS Processing Center (MPC) – UCLA (?)

Alger, O’Neill

recruitment procedure
Recruitment Procedure
  • Representative sample based on US 2002 census
  • Zip code demographic data
  • Telephone brief screener at recruitment
  • Telephone long screener for inclusion criteria
  • DISC, FIGS, CBCL
  • Hospital Visit (Neuro exam, Behaviour, MRI)
  • Objective 1 scans 3 times, every 2 years
  • Objective 2 scans 3-6 times
  • SES (3 levels) X age (0-18 yrs) X gender X ethnicity
accrual by age objective 1

60

50

40

30

20

10

0

4.5 6 7 8 9 10 11 12 13 14 15 16 17 18

Accrual by Age (Objective 1)
slide14

Parental Education

N = 409

NIH MRI Study of Normal

Pediatric Development US Population

slide15

Ethnicity

N = 409

test battery

MRI

BEHAVIORAL

T1W (Obj1+2+fallbacks)

Full Interview

T2W (Obj1+2+fallbacks)

Bayley Mental

Handedness

PDW (Obj1+2+fallbacks)

Bayley Motor

JTCI

MRS (Obj1+2)

Bayley Behavioral

Nepsy fluency

MRSI (Obj1+2)

Brief Interview

Neurologicals

DTI (Obj1+2)

BRIEF Parent

PSI

Dual-contrast T2 (Obj2)

CANTAB

Pregnancy

T1 Relaxometry (Obj2)

Carey

Purdue peg board

T2 Relaxometry (Obj2)

CBCL

Tanner

CVLT (C and II)

TCI

DAS

Urine and Saliva

DISC

Digit span and coding

DPS4

WASI

Exclusion (Obj2)

FIGS

Woodcock-Johnson III

Test Battery
study organization
Study Organization

Study

Subject n-1

Subject n

Subject n+1

Visit 1

Visit 2

Visit n

Exclusionary Screening

Behavioral Instruments

MRI Procedures

CBCL

DISC

CBCL

DPS4

JTCI

CANTAB

WJ3

WASI

MRI

MRI

system architecture

PSC

DCC

Mass Storage System

Backup

System

Internet &

DBMS

Server(s)

Study

Work

Station

Data

Warehouse

MRI

Scanner

BVL

BVL

MRI

INTERNET

MRI

MRI

Data Marts

MRI Console

BVL

Behavioral

PC (laptop)

Scientific

Community

Data Analysis

Pipeline

System Architecture
slide21

DCC-ID

identifiedby

candidate

for each

PSCID

personal

member of

contains

data on multiple

visits

recruited by

SessionID

Gender

ethnic

VisitNo

psc

DoB

visit

Objective

EthnicID

Weight

CenterID

Age

stores data for a battery

of administered MRI procedures

& behavioral instruments

Height

ObjectiveID

Objective

MRI procedures

behavioral battery of instruments

bio

figs

apib

das

tanner

psi

cantab

Screening

Type

DICOM

T2W3D

wisc

exclus

disc

carey

neuro

wasi

purdue

cvltc

MRS

waisr

MINC

TestID

brief int

dps4

hand

pls3

wj3

saliva

cvlt2

MRSI

header

CommentID

full int

cbcl

nepsy

pregn

bayley

jtci

urine

T1W3D

PD

ScoreID

Test ID

Candidate Profile

are

identified

by

dbms software platform
DBMS Software Platform
  • MySQL DBMS:
    • Cross-platform, open source
    • Robustness, speed, reliability
    • Low development cost
    • - Remote management
  • Graphical User Interface:
    • Cross platform, Internet enabled application
    • PHP-based application, complemented by
    • JavaScript, Java, and Perl for data
    • manipulation tasks.
    • Remote management, customizable
database summary
Database Summary
  • Low-cost, extensible, secure
  • 61 tests, approx.
  • 20,000 possible data fields (~1000 filled/subject)
  • Laptop-based behavioral test battery
  • Automatic MRI data transfer
  • Web-based behavioral GUI
  • Interactive 3D MRI web viewer
  • Automatic QC procedures
  • Project web site
slide26

N=449

N=56

N=188

Obj 1

Obj 2

DTI

behavioral instrument status
Behavioral Instrument Status

Total # of Instruments = 9827

Objective 1 = 9029

Objective 2 = 798

Total # in Database = 9827

As of May 20, 2004.

slide28

40

30

20

10

Std. Dev = 12.50

Mean = 110.6

N = 248.00

0

75.0

85.0

95.0

105.0

115.0

125.0

135.0

145.0

80.0

90.0

100.0

110.0

120.0

130.0

140.0

FIQ

IQ Scores (n=248)

FIQ: 110.7+0.8

VIQ: 109.9+08

PIQ: 108.9+0.8

objective 1 mrs i
Objective 1 – MRS/I

Objective 1 – DTI

*Corrected to exclude the early Cincinnati and St. Louis 1 subjects since the DTI product was not available.

qc overview
QC Overview
  • Goal: quick turn-around time
    • mean time for expedited review 1.5 days
    • median time over all subjects 7.0 days
  • Concentrated mostly on subject QC
inter packet movement
Inter-packet movement
  • Separate volume into packets
  • Register each packet to target
  • Resample and interpolate to 1mm slice thickness

After

Before

data flow for brain mapping

Structural

Probability

Maps

Functional

Probability

Maps

Data Flow for Brain Mapping

Data Acquisition : Reconstruction : Conversion to MINC Image Format

PET

fMRI

aMRI

Registration

aMRI - ePET

aMRI - tPET

Frame alignment

Inter-slice normalization

T1/T2/PD/…

alignment

Registration

aMRI - fMRI

Partial volume correction

Intensity non-uniformity correction

Voxel-based model fitting

Voxel-based coherence analysis

3D segmentation

Stereotaxic Spatial Normalization

Inter-volume normalization

GLM analysis

in 3, 4, or 5D

slide40

Manual

Auto

INSECT

ANIMAL

SEAL

ASP

slide43

Age-related changes in WM density

Paus et al, Science 1999; n=111

NIHPD; n=204; 16 1 0 t=10.5

slide44

WM density and Spatial Working Memory:

Between Errors (Age removed)

NIHPD; n=188; 7 -1 66 t=-4.0

slide47

Automated extraction of

both cortical surfaces using

CLASP algorithm

(5 different brains)

analysis of detection limits
Analysis of detection limits
  • 19 T1 MRIs of the same subject (Colin Holmes) with 1mm isotropic sampling.
  • Computation of standard deviations across cortex.
    • Across blurring kernels.
    • Across metrics.
  • Power analysis:
    • N needed to recover change of 0.5 mm
    • Change required at N=25 in each group.
required n to recover 0 5 mm
Required N to recover 0.5 mm

Unblurred

5mm

10mm

20mm

200

0

obj 2 stereotaxic t1 average
Obj 2 stereotaxic T1 average

nihpd120_obj2

icbm152

related large scale projects
Related large-scale projects
  • ICBM (7000)
  • Giedd and Rapoport (3000)
  • Brad Peterson (TS, OCD, ADHD 600)
  • Maternal Adversity (MAVAN 500)
  • Tourette’s Neuroimaging Consortium (500)
  • Japanese Human Brain Project (1200)