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Design:

Control study.

Setting:

Plasticity of spinal cord injury.

Participants:

Fifteen patients with incomplete SCI and 22 normal

subjects were enrolled.

Interventions:

Not applicable.

Main Outcome Measures:

The whole brain gray matter density

(GMD) was measured to indicate the structural changes. The brain

networks, including region-based whole brain network, and voxel-

based local network, were used to evaluate functional brain

characteristics.

Results:

It was found that the brain structural alteration following SCI

was accompanied by changes of local network connectivity. Dorsal

lateral prefrontal cortex (DLPFC) was found an important area of both

decreased GMD and changed intra-region network. DLPFC features of

intra-region network significantly related to sensory disability posi-

tively or negatively. DLPFC features of intra-region network signifi-

cantly related to sensory disability positively or negatively.

Conclusions:

It is suggested that structural and functional charac-

teristics of DLPFC could serve as potential MRI biomarkers to predict

functional recovery. Furthermore, DLPFC may be a key region for

potential therapeutic target for rehabilitation of incomplete SCI

patients.

Level of Evidence:

Level II

Poster 89:

Delineation of Brain Circuit Changes after Mild TBI

(mTBI) in Veterans with and without Post-Traumatic

Stress Disorder (PTSD)

Juewon Khwarg, MD (VA-GLAHS/UCLA PM&R, Los Angeles, CA, United

States), Vincent Y. Ma, MD, Daniel Estrada, MD, Joseph Collins, DO,

Ryan C. Brewster, PhD, Neil G. Harris, PhD, Sharon Gohari, MD

Disclosures:

Juewon Khwarg, MD: I Have No Relevant Financial Re-

lationships To Disclose

Objective:

1. To use functional MRI to identify characteristic post-

mTBI differences in brain circuit organization between Veterans with

and without concomitant PTSD. 2. To correlate measures of brain

circuit organization to performance on clinical balance assessments

and neuropsychological testing.

Design:

This cross-sectional study will recruit Veterans diagnosed with

mTBI with and without PTSD. Subjects will undergo a clinical balance

assessment on the SMART Balance Master system and a brief battery of

neuropsychological assessments, including Beck Depression Inventory,

PTSD-M Check List, Rey-15 Item Test, Wechsler Adult Intelligence Scale

IV Digit Span subtest, Wechsler Test of Adult Reading, and Trail Making

Test. Subjects will then undergo neuroimaging with various MRI mo-

dalities to assess: 1) white matter disruption using diffuse tensor im-

aging (DTI), 2) blood flow using arterial spin-labeling (ASL) MRI, and 3)

synchrony of brain regions using resting state functional MRI. Abnor-

malities will be correlated with clinical measures including presence of

PTSD and performance on balance and neuropsychological

assessments.

Setting:

Outpatient Specialty TBI Clinic.

Participants:

OEF/OIF/OND veterans diagnosed with mTBI with and

without PTSD; Demographically-matched controls. Estimated study

population of 60 total.

Interventions:

Not applicable.

Main Outcome Measures:

1. DTI/fMRI changes will be compared be-

tween the TBI+PTSD, TBI only, and control groups. 2. DTI/fMRI changes

will be correlated with clinical balance and neuropsychological

assessments.

Results:

Results pending. Will be complete at time of annual

assembly.

Conclusions:

Mild TBI continues to pose diagnostic challenges,

particularly in the veteran population. Resting state-fMRI offers a

promising imaging modality that can detect previously unnoticed

changes in neural networks. This study aims to elucidate the poten-

tially confounding effect of PTSD on fMRI imaging findings in mTBI. This

could lead to insights on how PTSD and mTBI interact, as well help

differentiate clinical findings caused by mTBI vs PTSD.

Level of Evidence:

Level IV

Friday, October 13, 2017

10:00 AM

e

11:00 AM

Exhibit Hall D, Exhibit Hall Level

RESEARCH SPOTLIGHT: NEUROLOGICAL REHABILITATION

ePOSTER SESSION

Poster 84:

Estimated Life Time Savings from Specialist

Rehabilitation Following Traumatic Brain Injury: A

Large Multi-Centre Cohort Analysis from the UK

Rehabilitation Outcomes Collaborative (UKROC)

Database

Alan R. Bill, ACA (UK Rehabilitation Outcomes Collaborative),

Lynne F. Turner Stokes, DM FRCP, Alan R. Bill, ACA, Heather Williams,

MSc, Keith Sephton, N/A

Disclosures:

Lynne Turner Stokes: I Have No Relevant Financial Re-

lationships To Disclose

Objective:

To estimate potential life-time savings in the cost of

ongoing care following rehabilitation for complex traumatic brain

injury, comparing three groups of dependency.

Design:

Analysis of prospectively collected clinical data from the

UKROC national clinical database.

Setting:

Specialist (Levels 1 and 2) rehabilitation centres in England

(n

¼

66).

Participants:

All TBI episodes with complete data between 2012-2016

(n

¼

2639).

Interventions:

Inpatient specialist rehabilitation.

Main Outcome Measures:

Recorded on admission and discharge, the

Northwick Park Dependency and Care Needs Assessment (NPDS/

NPCNA) calculates the savings in ongoing care-costs in the com-

munity. Life expectancy was computed in four groups defined by

Functional Independence Measure (FIM) scores at discharge: ‘Walks

well alone’, ‘Some walking ability’ and ‘Unable to walk: self-feeds

or fed by others’.Percentage reduction in predicted life expectancy

following TBI calculated using US mortality figures (Shavelle 2007,

Brooks 2015) applied to national UK projected life expectancy

figures (Office of National Statistics). Life-time savings (‘savings in

ongoing care costs/year x remaining years of life’) were analysed in

three groups of dependency, based on NPDS scores on admission:

High (NPDS

>

25; n

¼

1407); Medium (NPDS

¼

10-25; n

¼

678): Low

(NPDS

<

10; n

¼

499).

Results:

Mean age 48 (sd18.9) years; mean length of stay 81 (sd72)

days. Mean annual savings in care costs were

£

29,057 (95%CI:

£

27299,

£

30,686) and the mean remaining life expectancy was 26.3 (95%CI:

25.7, 27) years. Estimated life-time savings in ongoing care costs were

£

1,047,779 (95%CI:

£

982,946,

£

1,109,651) per patient, totaling

£

2.7

billion for the analysed population (n

¼

2639).

Life expectancy was shortest in the High-dependency group at 21.5

years (Medium 29.7 and Low 32.7). However, the cost savings were

larger, so the mean life-time savings were greatest in the High- and

Medium dependency groups (

£

1,031,399 and

£

1,145,511 respectively,

compared with

£

263,124 in the Low-dependency group).

Conclusions:

Despite their shorter life expectancy, the more depen-

dent patients had the greatest potential for making life-time savings in

the cost of ongoing care.

Level of Evidence:

Level II

S136

Abstracts / PM R 9 (2017) S131-S290