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Magnetic resonance imaging (MRI) techniques, such as magnetic resonance microscopy (MRM), diffusion tensor imaging (DTI), and magnetic resonance spectroscopy (MRS), have recently been applied to the study of both normal and abnormal structure and neurochemistry in small animals. Herein, findings from studies in which these methods have been used for the examination of animal models of Fetal Alcohol Spectrum Disorder (FASD) are discussed. Emphasis is placed on results of imaging studies in fetal and postnatal mice that have highlighted the developmental stage dependency of prenatal ethanol exposure-induced CNS defects. Consideration is also given to the promise of methodological advances to allow in vivo studies of aberrant brain and behavior relationships in model animals and to the translational nature of this work.
Studies employing animal models of prenatal alcohol (ethanol) exposure have been key to defining how factors such as dosage, timing and pattern of consumption influence the range of ethanol-induced functionalal and central nervous system (CNS) outcomes and to elucidating ethanol's teratogenic mechanisms (reviewed by Goodlett et al., 2005; reviewed by Cudd et al., 2005). Additionally, the establishment of fetal alcohol spectrum disorder (FASD) animal models has provided the foundation needed for testing the effectiveness of agents that may reduce ethanol-mediated birth defects (e.g. Ryan et al., 2008; Thomas et al., 2000; 2004; 2007; 2009; 2010; Parnell et al., 2007; Serrano et al., 2010; reviewed by Hannigan et al., 2007; Sari & Gozez, 2006; Klintsova et al., 2000).
FASD researchers have used many different model species, including zebrafish (e.g. Bilotta et al., 2004), chicks (e.g. Marshall et al., 2009), guinea pigs (e.g. Green et al, 2005), sheep (e.g. Ramadoss et al., 2007; Littner et al., 2008), non-human primates (e.g. Schneider et al., 2001; 2002; Papia et al., 2010), and rodents (eg. Chernoff, 1977; Light et al., 1998; Sherwin et al., 1979; West 1993). Of these, rodents have been most commonly employed (reviewed by Cudd et al., 2005). This is in part, because of their short gestational period, relatively low cost, and well-characterized behavior and physiology. Mice have been particularly useful for defining the stage-dependent teratogenic effects of ethanol (e.g. Webster et al., 1983, reviewed by Sulik, 2005). As further described below, this is exemplified by the studies of Sulik and her colleagues that have focused on discrete stages of embryonic development (e.g. Godin et al., 2010; O'Leary-Moore et al., 2010; Parnell et al., 2009; Sulik et al., 1981; Sulik & Johnson, 1982).
As early as 1981, Sulik et al. demonstrated that ethanol treatment limited to just the 7th day of pregnancy in mice results in facial dysmorphology in the offspring that is consistent with that in fetal alcohol syndrome (FAS) (see figure 1; Sulik et al., 1981). As shown in figure 1, this includes microcephaly, an elongated upper lip, a deficient philtrum, a small nose and short palpebral fissures. Gestational day (GD) 7 mouse embryos are at a stage in development that is equivalent to that occurring early in the third week of human pregnancy; a time when many women might not recognize that they are pregnant. It is at this early stage of embryogenesis that gastrulation begins and the formation of the neural plate is initiated. That exposure to ethanol during early gastrulation induces a spectrum of dysmorphology most notably affecting the median aspects of the developing face and forebrain, including holoprosencephaly (HPE) at the severe end of the spectrum, is now well-established (reviewed by Lipinski et al., 2010; Higashiyama et al., 2007; Schambra et al., 1990; Stockard, 1910; Sulik & Johnson, 1982; Sulik et al., 1984; Webster et al., 1983).
HPE is now recognized to be the most prevalent human birth defect occurring in as many as 1/250 conceptuses (Matsunaga & Shiota 1977). With most HPE-affected conceptuses being lost prior to birth, this condition is reported in approximately 1/10,000 live births (Croen et al., 1996; Leoncini et al., 2008; Shiota et al., 2007). HPE is known to result from a variety of genetic abnormalities, as well as several different environmental factors. Among the latter is ethanol, as evidenced in mice as described above, humans (Majewski, 1981; Peiffer et al., 1979), and non-human primates (Astley et al., 1999; Siebert et al., 1991). Anomalies consistent with those in the HPE spectrum are shown in figure 2. Illustrated are ethanol-exposed mouse embryos with varying degrees of median tissue loss involving both the face and brain (Sulik et al., 1984). This tissue deficiency is reflected in the abnormally close proximity of the nostrils and loss of portions of the medial nasal prominences, accompanied by closely approximated ganglionic eminences and a reduction in the size of the septal region of the forebrain (figure 2). Other notable forebrain abnormalities following GD7 ethanol exposure in this model include hypoplasia or agenesis of the corpus callosum, as well as deficiencies in the basal ganglia, hippocampus and anterior cingulate cortex (Sulik & Johnston, 1982; Schambra et al., 1990; Sulik et al., 1984).
Recently, a number of studies utilizing state-of the art neuroimaging techniques to further characterize brain anomalies associated with prenatal alcohol exposure in rodents have been conducted. As reviewed herein, magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) have been used to show stage-dependent alterations in brain structure. In addition, magnetic resonance spectroscopy (MRS) studies have shown alterations in neurochemistry following perinatal ethanol exposure. The results of this work have both confirmed and extended previous observations. Clearly these animal-based studies have significant translational potential, particularly regarding guidance of ongoing neuroimaging investigations of individuals with FASD.
MRI is an imaging technique that provides a window into the anatomy of a developing animal (reviewed by Driehuys et al., 2008). Aided by the development of high field strength magnets (7 Tesla and above), custom coils, and the use of agents to enhance tissue contrast, the assessment of specimens using MRI at very high resolution (approaching 10 microns) is now possible. This high resolution imaging is referred to as magnetic resonance microscopy (MRM) (Driehuys et al., 2008; Petiet et al., 2007; Turnbull and Mori, 2007). MRM is distinguished from more routine MRI by the spatial resolution of the scans (~1mm3 for MRI vs. < 100 microns for MRM), by the diameter of the bore of the magnet (~5 cm) limiting the size of the specimens that can be imaged, and by the amount of scanning time needed. MRI can typically be completed within minutes when used for routine clinical assessments. Until recently, MRM has required several hours of scanning time for a single specimen, a factor that has limited its application to fixed tissue and to studies employing relatively small numbers of samples. Technological advances now provide for 21-43 micron isotropic resolution with scanning time in the order of 30-120 minutes per specimen. This speaks to MRM's potential as a high-throughput analysis technique (eg. Johnson et al, 2007).
Recently, MRM has been successfully used to study the development of both prenatal and postnatal animals and 3-dimensional atlases of mouse brain development are now published (e.g. Chuang et al., 2011; Dhenain et al., 2001; Ma, Hof, et al., 2005, 2008; Petiet et al., 2008). As shown in figure 3, MRM allows the imaging of embryos as young as 10.5 days postfertilization (Petiet et al., 2008) and offers distinct advantages over traditional histological techniques, including the ability to view the images in all three planes simultaneously to assess morphology. From individual MRM scans, specific anatomical regions can be segmented, i.e. parcellated either automatically or manually, using imaging analysis software such as ITK-SNAP (Yushkevich et al.,2006) This allows accurate 3D reconstruction (figure 4). While there has been an emphasis on MRM-based assessment of the developing CNS, similar analyses of other organs such as the heart and kidneys (e.g., Petiet et al., 2008; Badea et al., 2006) and of specific regions such as the face are also possible.
In order to characterize the stage-dependent effects of prenatal ethanol exposure on the fetal brain more fully, Sulik and colleagues have recently initiated MRM-based analyses of fetal and postnatal mice (Godin et al., 2010; O'Leary-Moore et al., 2010; Parnell et al., 2009). In their studies, timed pregnant dams were treated with high doses of ethanol on single early gestational days. Typically, treatment has entailed twice daily intraperitoneal injections of 2.8-2.9 g/kg ethanol administered 4 hours apart on either GD 7, 8, 9, 10 or 11. This treatment results in blood ethanol concentrations approaching 350-420 mg/dl and models acute high ethanol intake as occurs in an individual who is alcohol dependent. Because ethanol-induced deficits at the severe end of the spectrum are often not compatible with postnatal viability, many of the initial studies have focused on late fetal stages, i.e. GD17. To date, GD17 brain dysmorphology resulting from acute high dose ethanol exposure on GD 7, 8, and 10 has been characterized (Godin et al., 2010; O'Leary-Moore et al., 2010; Parnell et al., 2009). Additionally, to ascertain the normal developmental trajectory at the time of interest, the brains of GD 16, 16.5 and 17 fetuses have been assessed. As shown in figure 5, and as determined from volumetric analyses, during this period in mice an increase in overall brain size (38% increase in volume) is accompanied by a relative decrease in the size of the ventricles. Because prenatal exposure to ethanol is known to result in generalized growth retardation, recognition of these normal time-dependent changes is particularly important as it provides for identification of appropriate control groups.
Consistent with earlier studies described above (Sulik & Johnston, 1982; Sulik et al., 1984), MRM scans and subsequent 3D reconstructions of the brains as well as of the faces of fetal mice have illustrated that acute GD7 ethanol exposure results in a spectrum of facial and CNS effects that commonly includes HPE in the most severely affected fetuses (Godin et al., 2010). As shown in figure 6, affected fetuses having varying degrees of median facial anomalies typically also present with forebrain deficiencies. The facial abnormalities range from a slight narrowing of the nose (i.e. nostrils that are somewhat closely approximated) and an upper lip that has a slightly diminished central notch, to extreme narrowing of the snout and absence of the nostrils. The lower jaw is also commonly involved and often appears narrow and short as compared to controls. In general, the brains of animals with the more severe facial dysmorphia are more affected. In mildly affected ethanol-exposed fetuses, the overall form of the brain appears fairly normal, though the olfactory bulbs appear smaller and the space between the cerebral hemispheres is somewhat narrow as compared to controls. As the severity of teratogenesis increases, the olfactory bulbs may be absent, accompanied by cerebral hemispheres that are united across the midline. In severely affected specimens the cerebral tissue can be quite minimal, while the more caudal aspects of the brain appear relatively normal. In addition to these defects, GD7 ethanol exposure-induced abnormalities identified with MRM include cleft palate, aglossia, pituitary dysgenesis, aqueductal stenosis, and eye anomalies ranging from slight microphthalmia to bilateral anophthalmia (Godin et al., 2010).
The ability to accurately reconstruct the MRM scans of the face and brain of individual specimens allows correlative analyses with outcomes that should be indicative of the value of facial dysmorphology assessments in affected children to predict the involvement of the brain. That useful translational data will be forthcoming from these studies is supported by the fact that sophisticated 3D shape analysis and dense surface modeling has been applied to identification of human craniofacial changes in autism (Hammond et al., 2008) and in a variety of genetic conditions (e.g. Hammond et al., 2005). These shape analysis techniques have also recently been applied in an FASD study and have identified facial asymmetry in some affected individuals (Klingenberg et al., 2010). Other recently reported human morphometric and 3D analysis data regarding abnormalities in the shape of the face have provided for the classification of children with FAS (e.g. Mutsvangwa & Douglas, 2007; Mutsvangwa et al., 2010). Facial morphometric techniques have also been applied to a mouse model to define strain-dependent ethanol-induced alterations with results indicating deficiencies in facial depth measures following GD7 exposure (Anthony et al., 2010), a finding that is consistent with the “flattened midface” associated with FAS (Moore et al., 2007). Additionally, recent work by Sowell and colleagues (Roussotte et al, in press) describes face/forebrain correlations that are consistent with patterns of face and forebrain deficits that result from GD7 ethanol exposure in the mouse (Godin et al, 2010). Recognizing that acute ethanol exposure at times other than GD7 does not result in the HPE-related facial phenotype and that later exposure times yield different patterns of facial and brain anomalies in the mouse (Sulik et al., 1986; Kotch & Sulik, 1992), it will be of interest to include discrete exposure times as a critical variable in face/brain correlation outcomes. The results of such studies hold particular promise in informing clinical FASD investigations and diagnoses.
Importantly, in addition to being useful in demonstrating severe dysmorphology resulting from ethanol exposure-induced teratogenesis, MRM has facilitated the discovery of subtle brain defects in mice. These could easily have been missed with conventional histological techniques. As shown in figure 7, 3D reconstructions of the brains of fetuses that had been exposed to ethanol on GD7 revealed cerebro-cortical surface irregularities that have been confirmed as leptomeningial heterotopias (Godin et al., 2010). Recognition that such early ethanol exposure can result in heterotopias is of considerable clinical significance. Errors in cell migration, the basis for heterotopia formation, have been implicated in seizures. Recent clinical reports have revealed heightened rates of both seizures and epilepsy among individuals with FASD (Bell et al., 2010; Sun et al., 2009), with first trimester ethanol exposure being most commonly involved (Bell et al., 2010). A recent case report of an individual with FAS described seizure activity and the detection of polymicrogyria with MRI (Reinhardt et al., 2010). Interestingly, ethanol exposure on GD10 in the mouse also resulted in heterotopic tissue formation. However, rather than being localized to the cortex, the heterotopia extended into the third ventricular space (O'Leary-Moore et al., 2010).
While MRM-based studies of acute GD8 ethanol exposure-induced defects have identified neither HPE nor heterotopia formation, other morphological changes involving the brain, eyes and facial structures have been found (Parnell et al., 2009; O'Leary-Moore et al., 2010). Included are optic nerve coloboma, choanal atresia, narrowing of the cerebral aqueduct, and third ventricle enlargement (Parnell et al., 2009). Third ventricular dilation has also been noted in MRM scans of fetuses that had been exposed to ethanol on GD10 (O'Leary-Moore et al., 2010). 3D reconstructions of the ventricular system of these specimens are illustrated in figure 8. These results suggest that the tissue surrounding the third ventricle, including the thalamus and hypothalamus are deficient (O'Leary-Moore et al., 2010) and studies to examine this possibility are currently underway.
One of the major advantages of MRM is that it allows regional brain segmentation and subsequent characterization of region-specific alterations including volumetric changes. Indeed, volumetric changes have been reported in human FASD imaging-based brain studies (Norman et al., 2009; Spadoni et al., 2007; Riley et al., 2004). Among these findings are volume deficits in various cortical (e.g. Archibald et al., 2001; Sowell, Thompson, et al., 2001; 2002; Bjorkquist et al., 2010) and subcortical structures (Mattson et al., 1992; 1994; 1996; Cortese et al., 2006), and the cerebellum (Sowell et al., 1996; O'Hare et al., 2005), along with alterations in cortical thickness (e.g. Sowell, Mattson, et al., 2008) and changes in the shape and size of the corpus callosum (e.g. Bookstein, Streissguth et al., 2002; Sowell et al., 2001). In the acute early gestational exposure mouse model, expected volume reduction in telencephalic structures accompanied by increased lateral ventricular volume was apparent in holoprosencephalic fetuses that had been exposed to ethanol on GD7. As previously noted, in these fetuses there is relative sparing of mesencephalic and rhombencephalic brain regions (Godin et al., 2010). Among less severely affected fetuses (those without apparent facial dysmorphology) from this exposure time, larger third ventricle volumes were found (Godin et al., 2010). Acute GD8 ethanol exposure caused disproportionate reductions in the volume of the olfactory bulbs, hippocampus and cerebellum while the septal region and pituitary volumes were disproportionally increased (Parnell et al., 2009). A global effect on total brain volume was found following GD10 ethanol exposure. In order to distinguish a global developmental delay from true ethanol-induced dysmorphology, ethanol-exposed subjects were compared to developmental stage-matched controls that were chronologically half a day younger. As compared to these morphologically matched controls, third ventricular volume enlargement was particularly evident; a finding consistent with visual inspection of the 3D third ventricle renderings (figure 8; O'Leary-Moore et al., 2010).
Linear measurements are also readily ascertained from MRM scans of fetal mouse brains and provide data that can be easily compared to that from human fetal ultrasounds (figure 9). Comparable findings from human fetuses (Kfir et al., 2009) and from fetal mice following GD7 ethanol exposure (Godin et al., 2010) include reductions in frontothalamic distances and biparietal diameter. Linear measurements from fetuses that had been exposed to ethanol on GD8 revealed reduction in the transverse cerebellar diameter and both GD8 and GD10 ethanol exposure preferentially increased third ventricular width (Parnell et al., 2009; O'Leary-Moore et al., 2010). The translational value of this type of quantitative analysis is evident with respect to potential FASD prenatal diagnosis.
Both structural and functional studies assessing the impact of prenatal ethanol exposure on the adolescent and adult mouse have commenced. Consistent with data from fetal mice, a spectrum of ethanol-induced effects has been found in adolescent animals. As in prenatal specimens following GD7 ethanol exposure, HPE occurs. However, the viability of these severely affected animals is diminished so only a few adolescents or adults have been studied (Sulik, 2005). Additionally, hydrocephalus, a condition in which there is excessive accumulation of CSF in the ventricles causing the cortical tissue to thin and the skull to enlarge, has been recognized around the time of weaning among several GD7 ethanol-exposed animals (unpublished observations). MRM-based 3D reconstructions of the ventricles have shown marked narrowing of the isthmus of the cerebral aqueduct in some ethanol-exposed fetuses (Godin et al., 2010). This condition; i.e. aqueductal stenosis, is expected to play a significant role in the genesis of the hydrocephalic condition. Among the more subtle brain defects observed via MRM in postnatal animals are dilated ventricles in the absence of macrocephaly, abnormal striatum and hippocampi, and partial agenesis of the corpus callosum, all of which follow GD7 ethanol insult (figure 10). These findings are very similar to those in individuals with FASD (reviewed by Norman et al., 2009).
Diffusion tensor imaging (DTI), as reviewed by others and Wozniak in this volume, is based on the diffusion properties of water and allows the assessment of the integrity of fiber tracts, even in the absence of gross dysmorphology (Chanraud et al., 2010; Wozniak & Muetzel, 2011). The application of DTI to the study of FASD has provided a plethora of information regarding various white matter regions of the brain that are particularly susceptible to ethanol teratogenesis. To date, a major human DTI focus has involved measures of Fractional Anisotropy (FA) and Mean Diffusivity (MD) to characterize ethanol-induced abnormalities of the corpus callosum (Ma, Coles et al., 2005; Sowell, Johnson et al., 2008; Fryer et al., 2009; Li et al., 2009, Wozniak et al., 2006; 2009; Lebel et al., 2008; 2010).
DTI is particularly effective for studies of brain development in both humans (Huppi & Dubois, 2006; Huang et al., 2006) and animals (Chahbourne et al., 2007; Chuang et al., 2011; Mori & Zhang, 2006; Zhang et al. 2006;). As opposed to traditional imaging techniques, high-resolution DTI scans in the developing mouse brain provide superb contrast, allowing visualization of fiber tracts even in regions of the brain where myelination has not yet begun (e.g. Zhang et al., 2003; 2006). From DTI data, specialized data analysis software such as DTIStudio (Jiang et al, 2006) and Slicer3 (Pieper et al, 2004; 2006) can be used to create color-coded anisotropy maps in which differing fiber orientations are represented by color-codes and in which the intensity of the signal represents the degree of diffusion anisotropy (i.e. FA; reviewed by Wozniak in this edition). As shown in figure 11, Zhang and colleagues (2003) applied DTI to the study of mouse prenatal brain development and the resulting images provide remarkable detail regarding the location and preferential direction of fiber tracts and cortical layers. In the DTI images from this study, various neuroepithelial layers including the cortical plate and intermediate zone, as well as the major fiber tracts are visible as early as GD12 in mice (see figure 11).
DTI-based studies of ethanol teratogenesis in a mouse model have recently been initiated. As shown in figure 12, non-diffusion weighted and color-coded anisotropy maps allow visualization of both normal and aberrant morphology of major fiber tracts in the fetal mouse brain. Consistent with MRM-based analyses, prenatal ethanol exposure on GD7 induces anomalies apparent with DTI that are within the HPE spectrum. Exemplary are differences in non-diffusion weighted images of a control mouse fetus where the septal region, olfactory bulbs, and distinct striatal regions and lateral ventricles can be appreciated, and of an ethanol-exposed animal in which the cerebral cortices are joined at the midline, the septal region and olfactory bulbs are absent, the striata are too closely approximated, and a single telencephalic ventricle is present. Color-coded anisotropy maps, which indicate the preferential orientation of diffusion, clearly show fiber tract anomalies in ethanol-affected fetal mice. Notable defects in the fetus shown in figure 12 involve the internal and external capsule, as well as the fimbria/fornix. Additionally, abnormal fibers projecting across the midline (as indicated by their red color-encoding) rostral to the thalamic region (figure 12 f), as well as abnormal fibers projecting in the superior/inferior direction (as indicated by their blue color-encoding) in the midline of the brain are present (figure 12 h). As opposed to traditional histological techniques where only the presence of the abnormal fibers can be confirmed, DTI provides information regarding the preferential orientation of these aberrant fibers.
DTI has proven particularly informative for analysis of GD7-induced ethanol brain defects by illustrating that even in the absence of readily discernable facial abnormalities, fiber tract alterations occur. An example is shown in figure 13 in which a control and an ethanol-exposed subjects’ faces, 3D brain reconstructions and midsagittal sections of the color-coded anisotropy map are readily compared. Despite having a normal appearing face and a brain with two distinctly separate cerebral hemispheres, the corpus callosum of the affected fetus is diminished. Recent studies have been extended to characterize anomalies in the postnatal animal, with an initial emphasis on characterizing anomalies involving the midline. Preliminary data indicate that as compared to a control, in which the corpus callosum can be identified as a broad midline band (figures 14, 15 a), variable degrees of narrowing, particularly in the mid-region are apparent (figure 15 c & e). These findings are consistent with clinical reports of corpus callosum anomalies in humans (Bookstein, Sampson et al., 2002; Sowell, Mattson et al., 2001; Riley et al., 1995; Swayze et al., 1997).
Expanding DTI's potential to inform FASD studies is the ability to develop 3D fiber tract reconstructions as shown in figure 16 (Mori & van Zijl, 2002; Jiang & Johnson, 2010) and as described by Wozniak in this publication. Not only does this technique provide for morphological assessments, it offers the potential for quantitative analyses of various properties of diffusion along the tracts of the reconstructed fibers. Ongoing studies in prenatal and postnatal mice are also employing this technology with preliminary data being most promising.
MRS is a non-invasive imaging technique that provides biochemical information about localized brain regions (reviewed by Moore & Galloway, 2002; van der Graaf, 2010). It has been widely applied to study brain maturation and disorders involving the CNS (e.g. Kreis et al., 2002; Vigneron 2006; Girard et al., 2006; Choi et al., 2007). MRS probes can be tuned to study a number of different molecular nuclei that are present in our bodies but among the most commonly studied with MRS is the hydrogen nucleus (proton - 1H). 1H MRS allows the quantification of various neurochemicals in the brain, including N-acetyl aspartate (NAA), a marker of neuronal integrity; choline, which is essential for the synthesis of acetylcholine and the cell membrane constituent phosphatidylcholine; and creatine, which is important for maintaining energy-dependent systems within the cell (reviewed by van der Graaf, 2010). With some higher field magnets and specialized pulse sequences, other neurochemicals such as myoinositol, glutamate and GABA can be measured. MRS data are expressed in a spectrum (e.g. see figure 17); the horizontal axis is called the chemical shift and each neurochemical has its own unique location(s). The vertical axis represents the strength of the signal and the area under it is proportional to the number of protons in the sample. MRS has been of interest for FASD research because of its potential to uncover a biomarker of prenatal alcohol exposure and, while results have generally been inconsistent, 1H MRS has been applied to the study of neurochemistry following prenatal ethanol exposure, (Astley et al., 1995; 2009; Cortese et al., 2006; Fagerlund et al., 2006).
Utilizing an animal model of neonatal ethanol exposure, where ethanol was administered to the offspring early during postnatal life to imitate 3rd trimester exposure in the human, regional brain neurochemistry in developing rats was examined (O'Leary-Moore et al. 2008). Using a specialized MRS technique called high-resolution magic angle spinning (HR-MAS 1H MRS), neurochemical data from intact tissue biopsies was ascertained and quantified. Figure 17 illustrates the appearance of an HR-MAS 1H MRS spectrum as well as the chemicals that are readily quantified using this technique. Following neonatal ethanol exposure, region-specific alterations in a number of neurochemicals were found, with alterations in the cerebellum being most pronounced. This is consistent with the results of previous studies examining alterations in the cerebellum following binge ethanol exposure in the neonatal rat (e.g. Green et al, 2004). For both male and female ethanol-exposed rats, cerebellar levels of NAA and taurine (an antioxidant and inhibitory neuromodulator) were reduced and glutamate levels were lower in females as compared to controls. In addition, cerebellar myo-inositol (a glial marker) levels were elevated. Reductions in striatal NAA and taurine were also apparent following ethanol exposure (O'Leary-Moore et al., 2008). The potential for future studies to characterize neurochemical alterations induced by different periods of exposure, as well as to test the ability of various treatments to reverse these neurochemical effects, is promising.
A number of factors including genetics, maternal age, polydrug exposure, nutritional status, and the dose, timing and pattern of ethanol intake during gestation all interact to produce a range of effects on the developing offspring (e.g. Abel & Hannigan, 1995; Chiodo, et al., 2010; Keen et al., 2010; Warren & Li, 2005). Studies in animal models can control for these factors and have been instrumental in increasing our understanding of the mechanisms underlying ethanol teratogenesis, critical exposure periods, dose-response relationships and the pathology resulting from prenatal ethanol exposure. Regarding the latter, while imaging techniques such as MRI, DTI and MRS have only recently been applied to examination of pathology in FASD animal models, they have greatly facilitated new and important discoveries.
Expected technological imaging advances will undoubtedly facilitate the extension of existing basic FASD studies. Of particular interest will be the application of advanced imaging methods to assessment of potential low dose teratogenic effects, gene-environment interactions, and mitigation of the adverse consequences of ethanol insult. Additionally, in vivo high resolution imaging may become practical; an advance that will afford the ability to correlate prenatal ethanol-induced behavioral and morphological abnormalities in longitudinal studies of single experimental animals.
We gratefully acknowledge the contributions of Elizabeth Godin, whose dissertation work includes much of that reviewed herein, as well as the technical assistance of Deborah Dehart. Additionally, we would like to acknowledge the expertise in imaging and image processing provided by G. Allan Johnson and Yi Jiang from the Center for In Vivo Microscopy at Duke University as well as Martin Styner, Ipek Oguz and Francois Budin from Dept of Psychiatry, University of North Carolina at Chapel Hill. We would also like to thank Stephen Pecevich, Jacob Ament and Amber Khan for their expert manual segmentation of mouse MRM scans. This work is supported by National Institutes of Health NIAAA grants AA007573, P60 AA011605, U01 AA017124; NCRR/NCI grants P41 05959 and U24 CA0292656 and NICDH 03110 and was conducted in conjunction with the Collaborative Initiative on Fetal Alcohol Spectrum Disorders (CIFASD). More information about the CIFASD can be found at www.cifasd.org.
Disclosure: The authors have no financial relationships to disclose.