Ruiliang Bai1,2, Craig Stewart3, Dietmar Plenz3, and Peter J Basser1
1Section on Quantitative Imaging and Tissue Science, DIBGI, NICHD, National Institutes of Health, Bethesda, MD, United States, 2Biophysics Program, Institute for Physical Science and Technology, University of Maryland, College Park, MD, United States, 3Section on Critical Brain Dynamics, LSN, NIMH, National Institutes of Health, Bethesda, MD, United States
Synopsis
Diffusion MRI has
been proposed as a noninvasive neuroimaging method to detect neuronal activity
more directly than BOLD fMRI, yet, initial findings have proven difficult to
interpret and reproduce. Here, we study the possible relationship between water
diffusion and neuronal activity by simultaneous intracellular calcium
fluorescence imaging and diffusion MR of organotypic rat brain cortex cultures.
Although we found that diffusion MR can follow pathological changes during hyperexcitability,
e.g., as those seen in epilepsy or during anoxia,
it does not appear to be sensitive or specific enough to detect or follow
normal neuronal activity.Purpose
Diffusion
MRI has been proposed as an alternative fMRI method to detect neuronal activity
more directly and accurately than BOLD fMRI,
1,2
yet, initial findings have proven difficult to interpret and reproduce.
3,4 Given
that the underlying relationship between water diffusion changes and neuronal
activity remains unclear, the biophysical rationale for using diffusion MRI to
monitor neuronal activity also requires further investigation. In this work, we
attempted to answer one fundamental question – can neuronal activity be
detected by diffusion MRI directly in the absence of hemodynamic and other confounds?
Methods
We study the
correlation between water diffusion and underlying neuronal activity in-vitro by simultaneous calcium
fluorescence (optical) imaging and diffusion magnetic resonance (MR)
acquisition in a novel test bed developed for fMRI assessment.5 We used organotypic cortex cultures from
rat brains as the biological model of neuronal activity, in which spontaneous
neuronal activity robustly emerges free of hemodynamic artifacts. Fluorescent
calcium images of neuronal activity are then directly correlated with diffusion
MR signals, which were acquired with a static-gradient spin echo sequence in a one-sided
NMR system (NMR-MOUSE).5,6 Here 5 b-values (b = 0, 600,
1200, 1800, and 2400 s/mm2) with TR = 2 s were used. The diffusion
MR signal, S, was fitted by a bi-compartment
model:
$$$S(b)=S_{0}\left[(1-f)\exp(-bD_{fast}) +f\exp(-bD_{slow})\right]$$$
where Dfast and Dslow are the self-diffusion
coefficients of the slow and fast diffusion components, respectively, f is the slow diffusion component
fraction, and S0 is the MR
signal without diffusion weighting. The direct effects of neuronal activity on
the diffusion MR signals are studied by time-series analysis of the
simultaneous calcium and MR signals during normal neuronal activity and in
different pathological states, which include induced hyperexcitability by
kainic acid (kainate), suppression of excitability by tetrodotoxin (TTX), a oxygen/glucose
deprivation (OGD) protocol mimicking stroke, and cell volume modulation caused
by osmolarity changes.
Results
(1) Kainate induces hyperexcitability by
activating glutamate
receptors, which results in a
strong increase in calcium fluorescence intensity F (Fig. 1a). The diffusion MR signals
change almost simultaneously and similarly in scale with F. Larger increases of the
diffusion MR signal are observed at higher b-values
and the slow diffusion component fraction
f increasing significantly by 20.1 ± 3.4% with respect to the pre-drug
levels.
(2) Fig. 2 shows
that changes in the
diffusion-weighted signals diminish as the depolarization level (fluorescence baseline F0) decreases
during the reduction of kainate concentration from 100 μM to 1 μM, while the
number of calcium neuronal spikes in the population increase. This phenomenon
suggests that increases in the diffusion-weighted MR signals were dependent only
on the culture’s level of depolarization, but were independent of the level of
the normal neuronal population events (spike activity).
(3) Fig. 3 shows that suppression
of normal spontaneous activity by TTX does not affect the
diffusion MRI signal. No significant changes were found in either the diffusion
MR signals or f during the application of
0.2 μM TTX (Fig. 3c), which demonstrates that the diffusion MR signal is not
sensitive to the level of normal spontaneous neuronal activity.
(4) In the OGD (stroke)
model (Fig. 4), the ADC drops by
4.99% during an acute 30-min OGD perfusion and keeps decreasing until it reaches
14.9% at the end of the 2-hr OGD perfusion, as similar to in vivo observations.7
Together with ADC changes, an increase in the baseline of F with normal neuronal spikes suppressed
was also observed.
(5) During normal
neuronal activity (without pharmacological agents or other interventions),
periods of high (“active”) and low (“resting”) neuronal activity were
identified in the intracellular calcium signal. The MR signal was then binned
into active or resting states on using the fluorescence imaging time-base (Fig.
5). Two types of hypothesis were tested and illustrated in Fig. 5a and b. Paired
students t-Test found no evidence
that each single event of normal
neuronal activity correlated significantly with the highly diffusion-weighted
MR signals (b = 1800 s/mm2)
within a temporal resolution of 100 ms (Fig. 5c and d).
Conclusion and Discussion
A
simultaneous increase of diffusion-weighted MR signals was observed together
with the prolonged depolarization of neurons caused by pharmacological
manipulations, in which cell swelling was demonstrated to play an important
role (results not shown). However, no evidence was found that diffusion MR
signals were directly correlated to normal spontaneous neuronal activity. These
results suggest that while current diffusion MR methods can monitor
pathological conditions of hyperexcitability, e.g., as those seen in epilepsy
or anoxia, they do not appear to be sensitive or specific enough to detect or
follow normal neuronal activity.
Acknowledgements
This
work was supported by the Intramural Research Program (IRP) of the Eunice Kennedy Shriver National
Institute of Child Health and Human Development (NICHD), NIH. References
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