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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Neuroimage. Author manuscript; available in PMC 2010 July 8.
Published in final edited form as:
PMCID: PMC2899477

In vivo MRI of neural cell migration dynamics in the mouse brain


Multipotent neuroblasts (NBs) are produced throughout life by neural stem cells in the forebrain subventricular zone (SVZ), and are able to travel long distances to the olfactory bulb. On arrival in the bulb, migrating NBs normally replace olfactory neurons, raising interest in their potential for novel cell replacement therapies in various disease conditions. An understanding of the migratory capabilities of NBs is therefore important, but as yet quantitative in vivo measurement of cell migration has not been possible. In this study, targeted intracerebral injections of iron-oxide particles to the mouse SVZ were used to label resident NBs in situ, and their migration was tracked noninvasively over time with magnetic resonance imaging (MRI). Quantitative intensity metrics were employed to identify labeled cells and to show that cells are able to travel at speeds up to 100 µm/h en route to the olfactory bulb, but that distribution through the olfactory bulb occurs at a much slower rate. In addition, comparison of histological and MRI measures of iron-oxide particle distribution were in excellent agreement. Immunohistochemistry analysis 1–3 weeks after labeling revealed that the majority of labeled cells in the olfactory bulb were immature neurons, although iron-oxide particles were also found in astrocytes and microglia. This work indicates that dynamic measurements of endogenous cell migration can be made with MRI and represents the first in vivo measurement of NB migration rates. The use of MRI in future studies tracking endogenous NB cells will permit a more complete evaluation of their role during homeostasis at various developmental stages and during disease progression.

Keywords: Magnetic resonance imaging, Micron-sized particles of iron-oxide, MPIO, Subventricular zone, SVZ, Neural stem cells, Neuroblast, Cell migration


Sustained production of neuroblasts (NBs) occurs throughout adulthood in the mammalian central nervous system (CNS) in two established cell niches, the subgranular zone, and the subventricular zone (SVZ) (Bayer et al., 1982; Corotto et al., 1993). NBs produced in the SVZ are particularly critical for neuronal homeostasis in the olfactory bulb (OB), where they are required to replenish various types of interneurons throughout adulthood (Lledo et al., 2008; Lois and Alvarez-Buylla, 1994). These cells migrate from their origin in the SVZ rostrally, and then along a sharply defined pathway known as the rostral migratory stream (RMS), which bridges the large distance between the SVZ and the OB. Interestingly, damage to the brain through acute injury or chronic disease has been shown to alter NB activities. Increased rates of proliferation have been detected following ischemia (Arvidsson et al., 2002; Thored et al., 2006), demyelination (Nait-Oumesmar et al., 1999), or excitotoxic injury (Tattersfield et al., 2004) and NBs have been shown to migrate from the SVZ to sites of brain damage where they can promote some functional recovery, especially after treatment with defined growth factors (Cooper and Isacson, 2004; Fallon et al., 2000; Kolb et al., 2007). This introduces the possibility that NBs from the SVZ could participate in CNS repair in regions of the brain other than the OB. Enhancement of such an endogenous repair response, for example with administered growth factors, would be an exciting therapeutic possibility for many disease conditions.

Clearly, the dynamics of endogenous NB migration—including the speed, spatial distribution and timing—relative to disease progression are of critical importance in assessing any such therapeutic potential. Various methods have been used to estimate the normal rate of NB migration from or through the SVZ. In the rat neonate, retroviral labeling and counting of cells in serial sections were used to estimate an average RMS speed of ~23 µm/h (Luskin and Boone, 1994). In vitro measurements in a cell culture system suggested much faster speeds of 120 µm/h (Wichterle et al., 1997). More recently, time-lapse analyses in mouse brain slice explants have yielded estimated speeds of ~50 µm/h in the adult SVZ (Bolteus and Bordey, 2004) and ~89 µm/h in the neonatal RMS (Hirota et al., 2007). The slice explants method is feasible only because the RMS, although curved in profile, resides largely in a sagittal plane. More complex three-dimensional patterns of migration or cellular distribution—which may result after disease or injury—cannot be assessed in the same fashion. Methods of noninvasively and longitudinally detecting NB distribution would permit more detailed measurements of RMS migration properties and importantly, permit characterization of the more complex movement patterns associated with possible disease response.

In situ labeling of endogenous SVZ cells in the adult rat has been demonstrated by injections of micron-sized particles of iron-oxide (MPIOs) into the lateral ventricle with subsequent detection by magnetic resonance imaging (MRI) (Shapiro et al., 2006). MRI provides the distinct advantage of providing inherently three-dimensional data with the capability of longitudinal temporal evaluation. However, the migration rate of MPIO-labeled cells has not been evaluated with longitudinal studies in individual animals, nor have strictly quantitative image intensity metrics been used to describe the MR-detected distributions of labeled cells.

In this study, the potential of mouse MRI was investigated for quantitative analysis of NB migration in the RMS, characterization of NB distribution in the OB, and evaluation of labeled cell types at two time points. For this purpose, we introduced a modified MPIO-labeling protocol in which MPIO injections are targeted directly to the anterior SVZ and then followed by serial MR imaging of individual mice. Importantly, these studies serve to: (1) verify the feasibility of labeling mouse NBs in situ with small-volume, SVZ-targeted MPIO injections; (2) quantify normal NB migration rates in the RMS; (3) characterize NB distribution through the OB over time; and (4) evaluate migrating MPIO-labeled cell types.

Materials and methods


All animal studies described in this report were approved by the Institutional Animal Care and Use Committee at New York University School of Medicine. Studies were performed using 6–10 week old, female ICR mice (Taconic Farms, Hudson, NY).

Surgical injections

For injection of MPIOs, mice were anesthetized using isoflurane and placed in a stereotaxic frame. The head was shaved and a ~1 cm incision was made to expose the skull. Using a microdrill, a 1–2 mm hole was produced to allow an injection into the anterior portion of the SVZ (stereotaxic coordinates 0.7–0.9 mm lateral to bregma, 1.1–1.3 mm rostral to bregma and 2.4–2.6 mm deep from the pial surface). All injections were performed with glass microcapillary tubes (0.5 mm ID, 1.0 mm OD, 10 cm length, Sutter Instruments, Novato, CA), pulled and cut to produce a 100 µm diameter needle tip and mounted on a microinjector (Narishige International, East Meadow, NY). MPIO solution (50 nl, ~1.5 × 106 particles) was injected as provided by the manufacturer (encapsulated, fluorescent, magnetic beads, nominal 1.63 µm diameter, 520/480 nm excitation/emission, Bangs Laboratories, Inc, Fishers, IN). Following surgery, the skin over the skull was sutured closed and animals were placed in separate, heated cages and monitored until fully recovered.

Magnetic resonance imaging

All imaging experiments were performed on a 7T 200-mm bore Magnex magnet equipped with a Bruker Biospec Avance II console (Bruker Biospin MRI, Ettlingen, Germany) and actively shielded gradients (BGA9S, Bruker Biospin MRI). Images were collected using a quadrature, transmit/receive Litzcage volume coil (25 mm inner diameter, Doty Scientific, Columbia, SC, USA). For visualization of MPIO distribution, a multiple gradient-echo image acquisition sequence was employed (TR = 40 ms, TE = 4.0, 8.3 ms, 12° excitation angle and 8 repeats). Image dimensions included a field-of-view of 25.6 × 19.2 × 12.8 mm and matrix size 256 × 192 × 128 to yield 100 µm isotropic voxels in an imaging time of 2 h, 12 min. Image reconstruction with retrospective self-gating was used to minimize artifact due to respiration and motion as described previously (Nieman et al., 2009). A magnitude image was generated for each echo and then the two images were averaged to yield a single image for subsequent analysis. The averaged image provided ~30% higher signal-to-noise and contrast-to-noise ratio than either single image, while retaining a short echo-time image for clearer visualization of the injection site. Prior to imaging, animals were prepared in an induction chamber with 4–5% isoflurane in compressed air and then transferred to the imaging holder and coil assembly where they were maintained under anesthesia with 1.0–1.5% isoflurane.

Image analyses

Labeled image voxels were isolated by statistically testing for hypointense voxels (Fig. 1). Images were first registered together into a common space to align ipsilateral voxels across all images and subsequently to align the contralateral voxels as well. This process, including each of the steps described below, was performed separately for analyses of RMS migration rates and OB distribution. For the migration rate analyses, image time points included Days 0 (~2 h post-injection), 1 and 2. The OB distribution analyses included images from Days 0–1 (comprised of images collected 3 to 24 h post-injection), 4, 7 and 21. In each case, the image processing began by positional alignment and intensity normalization of all images. The latter included correction for nonuniformity (Sled et al., 1998) and histogram normalization. All images were then registered together to generate an unbiased space into which all images were resampled. This process has been described in several previous publications (Kovacevic et al., 2005; Lerch et al., 2008; Nieman et al., 2006; Woods et al., 1998a,b). The unbiased space was defined through a process of pairwise linear registrations and then refined through an iterative nonlinear registration of the individual images. For these analyses, the region of the MPIO injection was excluded from the registration process with a mask and the final nonlinear registration step was limited to a coarse resolution (300 µm). This permitted alignment of the olfactory bulbs without fine adjustment of isolated hypointense voxels, which appear somewhat stochastically through the OB at late stages. All registrations were performed using software tools from the Montreal Neurological Institute (Collins et al., 1994).

Fig. 1
Intensity-based analyses of labeled MR images. To isolate hypointense, labeled voxels in MR images, images were first aligned to a reference (removing translation and rotation differences) and intensity-normalized (a). The set of all images–only ...

With images registered together, individual voxels were determined to be hypointense—andtherefore “labeled”—by comparison of the intensity value in the ipsilateral side to the corresponding values in the equivalent contralateral voxel. This comparison was performed for each voxel in the forebrain and OB. To isolate the relevant voxel on the contralateral side of the brain, all images were mirrored left to right and then registered to the common space. Subsequently, the set of contralateral intensity values at the voxel of interest and from all acquired images was used as reference values to assign a p-value to each ipsilateral voxel using a one-sided Student’s t-test. Statistical thresholds were then applied using a false discovery rate (FDR, q = 0.05) to correct for multiple comparisons (Benjamini and Hochberg, 1995). For visualization of the distribution of particles, thresholded binary maps of hypointense voxels were overlaid on the average images.

In order to facilitate visualization of the RMS in three dimensions, two image planes were generated for viewing. The first image plane was a conventional parasagittal plane running through the center of the OB ipsilateral to the injection site. The second plane was a curvilinear plane perpendicular to the parasagittal plane and running along the curved path of the RMS, enabling clear visualization of the lateral distribution of MPIOs about the RMS and in the OB. This second plane was generated by manually identifying points on the RMS path in the average images and then using tricubic interpolation to generate signal intensities at equidistant sites on the curved path.

To estimate the speed of MPIO movement from MR images, the location of hypointense voxels was compared on consecutive days in images from individual mice. The distance between the detected voxels furthest along the RMS was computed along the curved path of the RMS. An average was determined for the maximum speed between Days 0 and 1 and between Days 1 and 2 by calculating the speeds in each mouse and then averaging the results. This method tended to detect the fastest migrating cells and therefore produced an average of the maximum RMS migration rate.

Histological analyses

On Days 2, 7 or 21 after MPIO injection, selected mice were prepared for histological analysis. For this purpose, mice received an intraperitoneal injection of nembutal (400 mg/kg), and were perfusion fixed through the left ventricle with 4 °C, 4% paraformaldehyde (PFA, Sigma-Aldrich, St. Louis, MO). After extraction from the skull and post-fixation (overnight in 4 °C, 4% PFA), brains were cryoprotected in 30% sucrose in phosphate buffered saline, mounted in embedding compound (Tissue-Tek OCT, Sakura Finetek USA Inc., Torrance, CA) and frozen into blocks. Sections were cut serially at 20 µm thickness on a cryostat (CM3050S, Leica Microsystems, Bannockburn, IL).

The Day 2 specimens were used to verify the MR detected particle distribution with histological counts of the distribution. In cryostat sections, the rostral–caudal distribution of particles was characterized by counting particles prior to any staining. Particles were visualized using a fluorescence dissection scope (Leica MZ16F, Leica Microsystems) and the total particle count in each section was recorded. Where sections were damaged or missing, a count was assigned based on the averages of the nearest 5 available sections. In this manner, a complete rostral–caudal particle count distribution was determined. In order to compare with MRI results (in which the voxel size was 100 µm), the counts from every five consecutive (20 µm) slices were summed to estimate the expected total particle count in serial 100 µm thick sections. A comparable metric was generated from the MRI images by counting the MRI hypointense voxels from planes running in the same rostral–caudal dimension. The image voxel and particle count distributions were then aligned by maximizing the correlation between the two distributions. By virtue of the registration of separate MR images, separate histological particle count distributions were also brought to a common space and, therefore, an average particle count distribution based on the histological sections was calculated and compared to the average hypointense voxel counts by MRI. For visualization of the histology sections, the histogram of the resultant images was manipulated to highlight the auto-fluorescent signal from the tissue, thus putting the much brighter MPIO fluorescence into an anatomical context.


Selected mice were injected with bromodeoxyuridine (BrdU, 100 mg/kg, Sigma) once per day for 3 days immediately following MPIO injection. BrdU is incorporated into cells during cell division, and marks dividing cells in the SVZ. Sections from these mice were visualized after staining for BrdU and for Nissl. Evaluation of these sections permitted visualization of the particle distribution in the SVZ at the ventricles and qualitative comparison of MPIO and BrdU distribution.

Serial sections were stained at different time points to identify which cell types contained MPIOs. For Day 2 images, Glial fibrillary acidic protein (GFAP, an astrocyte marker) was detected using a mouse anti-GFAP primary antibody (Chemicon, Millipore Corp., Billerica, MA). Likewise, doublecortin (Dcx, marker of migrating neuroblasts) was detected with goat anti-Dcx (Santa Cruz Biotechnology, Santa Cruz, CA). At later time points, staining was also performed with primary antibodies for Class III β-tubulin (Tuj1, immature neuronal marker) (Covance, Inc., Princeton, NJ) and Ionized calcium binding adaptor molecule 1 (Iba1, microglial marker) (Wako Chemicals, Inc., Richmond, VA). All immunostaining used IgG Cy3 secondary antibodies (Jackson ImmunoResearch Laboratories Inc., West Grove, PA), following protocols provided by the manufacturers.

Following staining, three independent readers scored each section for labeled cells by counting the total number of MPIOs per section and the subset localized within stained cells. Cell localization was determined by inspection based upon the proximity of MPIOs to stained cells. An average reader count for each section was computed and then the total for all sections was tabulated. Cell types were assessed at both Day 2 and Day 21. All counts included at least 3 different mice and a total of at least 500 and 85 MPIO particles per stain type for Day 2 and Day 21, respectively.


SVZ-targeted MPIO injections resulted in rapid MPIO migration in the RMS

Stereotaxic injection of MPIO particles in the anterior region of the SVZ resulted in hypointense artifacts at the site of injection on T2*-weighted images immediately after surgery. Injections frequently showed evidence of MPIOs in the lateral ventricle adjacent to the injection site, a result that could not be completely eliminated by adjustment of stereotaxic coordinates due to the small size of the SVZ and its close proximity to the ventricle. Follow-up images 24 h postinjection showed significant hypointense regions extending along the putative path of the RMS and away from the injection site artifact, suggesting transport of the MPIOs. After initial experimentation with the methodology, this labeling was successful in approximately 70% of surgeries. For analyses, hypointense voxels were determined by statistical comparison to intensity values in the contralateral voxel. The most distal MPIO-labeled voxels were detected, and the distance traveled between Days 0 and 1 and between Days 1 and 2 was computed. From these data, an average maximum migration speed of 102 µm/h was estimated in the RMS (Days 0–1), while the speed slowed significantly in the initial, caudal part of the olfactory bulb (49 µm/h) between Days 1 and 2 (Fig. 2).

Fig. 2
Migration rate in the RMS. Hypointensities in the vicinity of the RMS were observed shortly after surgical injection of MPIOs. Images from an individual mouse are shown on Days 0 (a), 1 (b) and 2 (c) after injection. A hypointense line (white arrows, ...

MPIO-labeled cells distributed slowly through the OB

MRI at later time points revealed a slow distribution of MPIOs through the olfactory bulb (Fig. 3). By Day 4, the particles were found throughout much of the medial region of the olfactory bulb, while relatively smaller changes in distribution were observed through Days 7 and 21. Throughout the 3-week observation period, the distribution of the particles in the olfactory bulb was predominantly parasagittal in orientation, with more limited movement of particles laterally (Fig. 3).

Fig. 3
Distribution of MPIO in the olfactory bulb. Parasagittal and RMS reformatted images are shown at Days 0–1 (combining images from 3 to 24 h post-injection), Day 4, Day 7 and Day 21. Each image is representative of a composite of three or more individual ...

Hypointense image voxels accurately mapped the MPIO spatial distribution

On Day 2, detailed comparisons were made between the distribution of MPIOs as assessed by MRI, and the distribution determined by traditional histological methods (Fig. 4). Good qualitative agreement was observed between MRI and matched histological sections (Fig. 4a). Plots of the average particle count and average voxel count as a function of position showed very similar distribution profiles (Fig. 4b). Furthermore, a direct comparison of counts at each position showed that the average voxel count and average particle count were highly correlated (Fig. 4c).

Fig. 4
Comparative analyses of MRI and histological MPIO distribution. (a) The hypointense regions in MR images (upper panels) qualitatively matched the distribution of particles observed on histological sections (lower panels). MPIOs were easily detected as ...

SVZ-targeted MPIO injections labeled astrocytes and migrating neuroblasts

The site of injection in the anterior SVZ was verified on MR images and was also analyzed using histological sections. Histological examination 7 days after injection showed very limited MPIO presence in the more posterior regions of the SVZ (Fig. 5a), even though MPIO particles frequently leaked into the ventricle. Accumulation of MPIOs was most evident in the targeted anterior region of the SVZ (Figs. 5b, c). A majority of the MPIOs remained at or near the injection site, with isolated particles distributed throughout the regions of the RMS and OB (Figs. 5d, e). When BrdU was administered following MPIO injection, the distribution pattern of the MPIOs qualitatively matched that of BrdU positive cells, with small clusters of MPIO and BrdU distributed throughout the RMS and more widely dispersed through the medial region of the OB. Precise colocalization was infrequent and the number of MPIOs was approximately 15% of the number of BrdU-labeled cells, suggesting that these experiments did not label precisely the same cells or cell populations.

Fig. 5
Histological visualization of post-injection particles. The MPIO injection resulted in significant accumulation of particles in the anterior region of the SVZ. Panels here show results at Day 7 post-injection. Green shows the Dragon Green fluorescence ...

We evaluated labeled cells on Day 2 and Day 21 by immunohistochemistry in sections from the RMS and OB in the aim of detecting labeled cell type (Fig. 6, Fig. 7). On Day 2, MPIO-labeled cells were distributed largely in astrocytes and migrating NBs, which accounted for 90% of labeled cells (62% and 28% for Dcx and GFAP, respectively). Scoring the sections separately in the RMS and OB did not reveal any significant differences in the relative proportion of labeled cells in these regions.

Fig. 6
Immunohistochemistry of MPIO-labeled cells. Sample histological sections are provided for each of the markers assayed. Sections were stained for Dcx, Tuj1, GFAP and Iba1. Examples are shown for each stain from the OB (top panels), the RMS (middle panels), ...
Fig. 7
Quantitative analysis of MPIO-labeled cell types. Three readers scored all sections (examples shown in Fig. 6) to determine the types of cells labeled by the MPIO injection on Days 2 and 21. The bar graph shows the reader consensus percentage of MPIO-labeled ...

We further evaluated MPIO-labeled cell types on Day 21 (Fig. 7). Migrating NB, marked by Dcx, and astrocytes, marked by GFAP, continued to represent a large fraction of labeled cells, although the number of labeled Dcx+ cells decreased marginally (to 50%). Immunostaining with Tuj1, a marker expected to show significant overlap with Dcx, verified the large fraction of immature neuronal cells. Notably at Day 21, a large percentage of cells (35%) was also found in Iba1+ cells, perhaps indicating cell death followed by phagocytosis of MPIO particles in microglia.


In this paper, we presented the first detailed longitudinal measurements of the migration characteristics of NB progenitor cells originating in the SVZ of the mouse brain. These results demonstrate that at least some NBs are capable of migrating in vivo at 100 µm/h or more. This is consistent with some other reported estimates (Hirota et al., 2007), and represents the first longitudinal measurement of such cellular migration speeds in vivo. The potential speed of this migration is important because it represents a limiting factor for novel therapies based on mobilization of endogenous stem cells to peripheral sites. We also observed much slower migration rates as MPIO-cells distributed through the OB. While most MPIO-labeled cells differentiated into a neuronal phenotype, an increasing number of these particles were also located in phagocytic cell types, suggesting death of some of the originally labeled NB cells in the OB, which occurs under normal physiological conditions.

The rapid migration observed in the RMS likely represents an upper limit of the achievable migration rates in brain tissue. The RMS has a unique composition, defined by glial-sheathed chains of migrating NBs in close proximity to one another (Lois et al., 1996). The SVZ contains large networks of similar chains that permit the migration of cells along the ventricle walls and into the RMS (Doetsch and Alvarez-Buylla, 1996). Thus, throughout the SVZ and RMS and into the OB, there is an established cellular structure that facilitates NB migration. As cells begin exiting the RMS and dispersing through the OB, the speed of movement rapidly becomes slower. It is possible that migration through brain parenchyma, as a response to peripheral disease or injury for instance, would likewise be slower than rates observed in the RMS. In these cases, NBs must be coerced away from the normal route of established chain migration and move through alternative and less-traveled routes. In the future, a finer temporal sampling during RMS migration and OB distribution (Days 0 through 4) could provide more detailed measures of the migration rate extremes. These could then be compared with underlying cellular features (observed histologically) or with the distribution of chemoattractants or repellents to investigate their influence on the NB migration rate.

Recent results characterized the cell types of MPIO-labeled cells in the rat RMS and OB by magnetically and fluorescently activated cell sorting of large numbers of cells (Sumner et al., 2009). In comparison to those results, our immunohistological results show a larger number of migrating or immature neurons and fewer astrocytes (50% and 29% at Day 21 as compared to 10% and 40% in their OB data at Day 14). Although substantial differences in the counting methodologies cannot be ruled out as a source of discrepancy, it is also likely that mouse–rat species differences result in different cell type requirements. In addition, the anterior SVZ-targeted injections we describe here label only a subset of SVZ cells, in comparison to the larger ventricular injections used in their report which may result in labeling of a different sub-population of SVZ cells. On a similar note, in our own data, the BrdU labeling, which also labels cells throughout the SVZ, resulted in higher numbers of labeled cells than the MPIOs that were concentrated in only the anterior portion of the SVZ.

The surgical labeling of smaller portions of the SVZ as proposed here with MPIOs has differences, and some potential advantages over alternative methods. Recently, it has been shown that the NB population is organized spatially, such that various types of periglomerular and granule progenitor cells originate in segregated SVZ regions (Lledo et al., 2008; Merkle et al., 2007). As the separate subpopulations are not yet separable by immunohistochemical or genetic means, surgically targeted labeling may permit comparison of the relative migratory capacity of these different cell populations under normal and disease conditions. Furthermore, direct targeting of the SVZ permits use of relatively small volume MPIO-injections, resulting in a smaller artifact than comparable ventricular injections and thereby improving visualization near the injection site. In this study, this permitted quantification of migration over a large region of the mouse RMS, an area apt to be obscured by large ventricular injections. It should also permit visualization of cells moving into the striatum or cortex, sites frequently obscured or distorted by large volume iron-oxide injections in the ventricle (Shapiro et al., 2006). Improvements in the efficiency of MPIO uptake by modification of the particles and a mapping of stereotaxic coordinates along the ventricle for improved targeting will further increase the potential applications of this labeling method.

Alternative methods of labeling and noninvasively imaging cells are an important topic of ongoing research. The use of genetic reporters is, of course, a very attractive possibility for mouse research that may ultimately provide a more powerful approach for long-term in vivo monitoring of specific cell populations. For studies in the mouse, where sub-millimeter accuracy is essential, image resolution must be kept very high. Optical methods, which have proven more easily adapted to genetic reporters, are limited in penetration and resolution and therefore difficult to apply in studies where spatially resolved dynamics are required deep within the brain. As a result, the development of an MR reporter gene continues to be an area of interest, despite the more limited sensitivity of MRI. Several potential candidates have been described, but the sensitivity of detecting relatively small numbers of labeled migrating cells has not been demonstrated (Cohen et al., 2005; Cohen et al., 2007; Deans et al., 2006; Genove et al., 2005; Gilad et al., 2007; Moore et al., 1998; Weissleder et al., 2000; Zurkiya et al., 2008). The imaging methods described here provide sufficient sensitivity, flexibility and spatial resolution to study SVZ-derived NB dynamics in normal and disease conditions, particularly where the migration or distribution of cellular populations needs to be monitored longitudinally.

This study has demonstrated quantitative measurement of rates and patterns of migration of neuronal precursors in the RMS and OB. The use of magnetically labeled cells and longitudinal MRI has enabled the first in vivo measurements of migration rates in the RMS, and suggests that precursor cells can travel very quickly under appropriate conditions. Similar measurements using MRI in conditions of disease or injury may reveal important factors affecting the ability of precursor cells to participate in tissue repair at novel sites throughout the brain or elsewhere in the CNS.


We thank Mark Henkelman, John Sled and Jason Lerch (Mouse Imaging Centre, Hospital for Sick Children, Toronto, Canada) for providing the software used for image registration. Funding for this work was provided by the New York State Department of Health, Spinal Cord Injury Research Board (contracts #C020926, C022053).


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