TALAIGNAIR N VENKATRAMAN1, RYAN PEARMAN2, HAICHEN WANG3, CHRIS PETTY2, ALLEN W SONG2, DANIEL T LASKOWITZ3, and CHRISTOPHER D LASCOLA2
1DUKE UNIVERSITY MEDICAL CENTER, DURHAM, NC, United States, 2RADIOLOGY, DUKE UNIVERSITY MEDICAL CENTER, DURHAM, NC, United States, 3NEUROLOGY, DUKE UNIVERSITY MEDICAL CENTER, DURHAM, NC, United States
Synopsis
Conventional DTI readouts
such as fractional anisotropy (FA), axial diffusion (RD) and radial diffusion
(RD) show distinct alterations following closed head injury but do not
correlate well with measured functional and cognitive outcomes. 3D DTI with
parcellated connectome analysis reveals neural fiber networks between brain
regions that are most vulnerable to closed head (acceleration-deceleration) injury
and also most relevant to measurable functional deficits. In this study, fiber
tract number between hippocampus and cortex is the most sensitive marker of both
motor and memory deficits and therapeutic improvement following administration
of a novel neuroprotective therapeutic agent.
Introduction:
Non-hemorrhagic diffuse axonal injury (DAI) is
increasingly recognized as an fundamental, long-range mechanism responsible for
lasting neurological dysfunction following TBI1,2. DTI MRI has shown promise for detecting DAI, yet
it remains uncertain which DTI parameters will be the most sensitive and
reliable for clinical application. We have performed ex-vivo high-resolution DTI
Tractography in a mouse model of TBI to probe the potential utility of
different DTI biomarkers for detecting clinically relevant injury. In this model, DTI parameters such as regional
FA, AD, and RD are altered following injury but do not correlate with
vestibulomotor (rotorod) or memory (Morris Water Maze) dysfunction. We have
found, however, that one scalar DTI parameter, fiber tract number (FTN), is
significantly altered in several brain regions following TBI, and when
parcellated specifically between hippocampus and neocortex, correlates strongly
with functional outcomes and therapeutic response. Materials and Methods:
Experimental
design: N= 17 mice
(C57Cl/6J). Sham = 5, Vehicle= 6, Treated = 6. Treatment group was administered
a novel quinone oxidoreductase II (QR2) inhibitor previously shown to have
strong neuro-protective efficacy in TBI4. TBI was elicited using an established
closed head injury model2 involving a single midline impact to exposed
skull with spontaneous recovery. Mice were perfused at 6 weeks after injury. Brains
were excised and stored in 0.5% ProHance-doped formalin3. Image Acquisition: Brains in
Fomblin were scanned on a Bruker 7T scanner, quadrature volume-transmit and
surface receive coils. The MRI protocol comprised: (1) 3D T1-weighted FLASH
sequence with FOV = 1.8 cm X 1.8 cm X 1.8 cm; matrix = 256 x256 x 256;
resolution = 70 x 70 x 70 μm/pixel; TE/TR = 6/30 ms; averages = 16; flip-angle
= 34; scan time = 6 hrs 33 mins; (2) High resolution spin-echo based 3D DTI
with FOV = 1.8 cm x 1.8 cm x 1.8cm; matrix = 128 x 128 x 128; resolution = 141
x 141 x 141 μm/pixel; TE/TR = 25/250 ms; diffusion directions = 60; Ao images =
5; B-value per direction = 1500 S/mm2 ; Post-Processing: Mouse
brains were registered to a reference template from Wake forest University’s
Mouse Database and segmented using ITK-SNAP. DTI parameters were calculated
using TrackVis. Results and Discussion:
Figure 1 shows the
functional therapeutic response in a mouse model of TBI following
administration of novel 4-aminoquinoline therapeutic selective for the putative
enzyme target quinone oxidoreductase II. Fig 1A shows the deficits and
improvements in vestibulomotor function (rotorod, left) and consolidative
memory (Morris water maze, right) following TBI and after therapy from the
larger cohorts of the full study, whereas Fig 2B shows the motor and memory
improvements in the sub-selection of animals from each cohort analyzed by
MRI. In data not shown, FA and AD are
uniformly decreased and RD increased in selected brain regions including
cortex, hippocampus, basal ganglia, thalamus, and corpus collosum/external
capsule. None of these DTI readouts, however, correlate with functional outcome,
and none are improved with therapy. Fig
2A shows uniformly decreased FTN in different brain regions as well as a trend
towards mitigation of FTN decrements in all brain regions except basal ganglia.
When FTN is calculated after parcellation between specific brain regions (Fig
2B), there is statistically significant improvement in FTN in connections specifically
between hippocampus and cortex, with trends in improvement also observed
between thalamus and cortex and basal ganglia and cortex. In Fig 3, strong correlations between
hippocampal-neocortical FTN and vestibulomotor (left) and memory (right)
function are revealed following therapy. Strong correlations between function
and un-parcellated FTN measurements of pass-through fibers passing through
different brain regions were weak or non-existent, with the exception of
neocortex (data not shown). Conclusions:
Our data suggest DTI connectome analysis of specific brain
regions is a more sensitive and specific approach for detecting and monitoring
clinically relevant brain injury following TBI.
In a mouse model of closed head injury, FA, AD, and RD are all
significantly altered within and between different brain regions, but none of
these DTI readouts correlate with functional outcome or therapeutic
response. 3D DTI measurements of FTN are
altered within and between brain regions.
FTN between hippocampus and neocortex following TBI correlates most
strongly with both functional assessments and therapeutic response. Acknowledgements
No acknowledgement found.References
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