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Biol Psychiatry. Author manuscript; available in PMC 2010 September 1.
Published in final edited form as:
PMCID: PMC2725195

Cingulate white matter neurons in schizophrenia and bipolar disorder

Caroline M. Connor, MA,1,2,# Yin Guo, MD,2,# and Schahram Akbarian, MD, PhD2,*



Increased neuronal density in prefrontal, parietal and temporal white matter of schizophrenia subjects is thought to reflect disordered neurodevelopment; however, it is not known if this cellular alteration affects the cingulate cortex and whether similar changes exist in bipolar disorder.


82 postmortem specimens (bipolar 15, schizophrenia 22, control 45) were included in this clinical study. Densities for two neuronal markers, neuron-specific nuclear protein (NeuN) and neuregulin 1 alpha (NRG), were determined in white matter up to 2.5 mm beneath the anterior cingulate cortex; NeuN+ density was also determined for a subset of cases in prefrontal cortex. Changes during normal development were monitored in a separate cohort of 14 brains.


Both the schizophrenia and bipolar cohorts demonstrated a two-fold increase in NeuN+ density in cingulate white matter; this effect could be attributed to ~25% of cases that exceeded the second standard deviation from controls. Similar changes were observed in prefrontal cortex. In contrast, NRG+ neuronal density was unaltered. Cases with increased NeuN+ densities in 2-dimensional (2D) counts also showed a pronounced, > 5-fold elevation in NeuN+ nuclei/mm3. Additionally, the developmental cohort demonstrated a 75% decline in NeuN+ neuronal density during the first postnatal year, but was stable thereafter.


Increased neuronal density in white matter of cingulate cortex in schizophrenia provides further evidence that this alteration occurs in multiple cortical areas. Similar changes in some cases with bipolar illness suggests that the two disorders may share a common underlying defect in late prenatal or early postnatal neurodevelopment.


Alterations of subcortical white matter in schizophrenia are thought to reflect the neurodevelopmental origins of this disorder. For example, recent neuroimaging studies describe changes in morphology and integrity of white matter tracts that are present from the earliest stages of these disorders (1, 2). There is also progressive reduction of frontal lobe white matter (3) and—in striking contrast to overlying cortex—a relative glucose hypermetabolism in unmedicated schizophrenia subjects (4). Of note, the 22q11.2 deletion syndrome (22qDS)—one of the strongest genetic risk factors for bipolar disorder and schizophrenia (5)—was associated with heterotopias and numerous ectopic neurons scattered throughout the white matter of the frontal lobe (6). While heterotopias and other markers of more severe migration defects are not known to be characteristic of schizophrenia, these changes observed in some cases may be indicative of a more subtle developmental defect that is present in a larger proportion of the patient population.

In support of this idea, increased densities, or altered distribution, of white matter neurons have been reported in 11 out of 13 studies on schizophrenia postmortem brain (720). Some of these cells are thought to be derived from the embryonic subplate, a transient structure during pre- and early postnatal development that plays a pivotal role in orderly development of cortical connectivity (21, 22). The majority of studies reported either a generalized increase of neurons (7, 9, 10, 1316, 20), or redistribution towards deeper white matter space (9, 19). See also the Supplemental Table for an overview. However, there is little consensus as to which regions of subcortical white matter are definitively affected. This lack of agreement is not unexpected due to methodological differences between studies—even those studies which focused on the same brain region vary in terms of sulcogyral position sampled, neuronal markers employed, tissue processing, and characteristics of the clinical cohort. Furthermore, there is evidence that a robust increase in white matter neuron density is not a uniform feature in psychosis, but limited to approximately one third of cases diagnosed with schizophrenia (8). Therefore, while it is difficult to reach a firm conclusion regarding white matter neuron changes in schizophrenia, the studies—when taken together—strongly suggest that this cell population is affected and may reflect defective brain development during the second half of gestation, when neurons are migrating through the interstitial zone, or, alternatively, during early postnatal life, when the majority of these cells undergo apoptosis (23).

The goal of the present study was: (1) to determine whether or not white matter neuron abnormalities extend beyond the diagnosis of schizophrenia and also occur in bipolar disorder; (2) to estimate the proportion of schizophrenia or bipolar cases affected by this alteration; (3) to find out whether these alterations affect widespread portions of the frontal lobe, including the white matter space beneath the cingulate cortex, a region strongly implicated in the pathophysiology of both bipolar disorder and schizophrenia (24, 25); (4) to monitor white matter neuron densities during the course of normal development and aging. We chose NeuN (neuron-specific nuclear antigen) (26), because neurons immunoreactive for this protein were previously reported to be elevated in frontal lobe white matter in schizophrenia (13, 14), and the alpha splice form of neuregulin 1, a schizophrenia risk gene implicated in neuronal migration (2729). (5) Finally, because microglial activation appears to be associated with increased NeuN-immunoreactive neurons in white matter in multiple sclerosis, we also assessed immunoreactivity for Iba1 (ionized calcium-binding adaptor molecule 1), a ubiquitous marker for microglia that is upregulated upon activation (30, 31).


Brain Tissue

82 postmortem brain specimens (22 schizophrenia, 15 bipolar, and 45 controls) (Table 1) were obtained from the Harvard Brain Tissue Resource Center (HBTRC, Belmont, MA). A prospective design was chosen to ensure that each specimen that newly arrived at the brain bank would be processed in a similar manner. Tissue blocks (~1.5 – 2 cm3) were resected from each case from cingulum at an anterior-posterior level immediately rostral to the central sulcus, corresponding to the caudal sector of Brodmann area (BA) 24 (Fig. 1A). Care was taken to include portions of the adjacent corpus callosum and cingulate gyrus in each resected block. Immediately after resection, blocks were immersion-fixed in 10% phosphate-buffered formalin for a period of 4 days, then cryoprotected for 1 week in phosphate-buffered 30% sucrose; subsequently, tissue was frozen and 25 μm coronal sections cut on a cryostat. In addition, for a select group of clinical cases with elevated white matter neuron densities in cingulate (and controls matched for age, gender and autolysis time), additional sections were obtained from paraffin-embedded superior frontal gyrus (BA 9) (Table 1). Furthermore, fresh frozen cingulate tissue was also obtained for such cases for counting nuclei (see below) (Table 1).

Figure 1
Gray and white matter structures surrounding cingulate cortex

For the developmental study, unfixed frozen tissue blocks from the pole of the frontal lobe were obtained for 14 additional subjects ranging in age from 40 weeks of gestation to 51 years of age. None of these subjects had been diagnosed with neurological or psychiatric disease. We chose the pole of the frontal lobe, instead of the anterior cingulate, as this region can be identified unambiguously in both young and old brain. These samples were obtained from the Brain and Tissue Bank for Developmental Disorders, University of Maryland (National Institute of Child Health and Human Development Contract NO1-HD-8-3284) and the University of California, Davis (Center for Neuroscience) (Table 1). Tissue blocks were fixed in 4% formaldehyde for 20 hours, after which 25 μm coronal sections were cut and directly mounted on glass slides; subsequently, tissue was fixed again for 5 minutes in 100% acetone and re-hydrated prior to immunostaining. This additional acetone-based fixation was necessary due to the fragility of some of the younger samples.

See Supplementary Methods for details on immunohistochemistry, microscopy (including both 2D and 3D-like counting procedures), and statistics.


In all cases and controls, the massive callosal fiber tracts were readily discernable from bordering cingulum bundle and subcortical white matter (Fig. 1A, B). The ventral portion of the cingulate cortex in cases and controls showed the expected bipartition with the six-layered cortex of BA24, bordering upon the less laminated BA33, which is defined by “merging” of prominent pyramidal cell laminae of lower layer III and layer V (32) (Fig. 1B, C).

NeuN+ neuronal density is increased in cingulate white matter in schizophrenia and bipolar disorder

In sections immunostained for NeuN, the gray/white matter border was readily discernable, particularly at low magnification (Fig. 1B, C). The NeuN+ neurons were defined by robust immunoreactivity in the nucleus and more lightly stained cytoplasm and processes, which were overall more readily discernable in gray matter than in white matter (Fig. 1D). In the gray matter, a large majority of neurons were NeuN+, resulting in a Nissl-type staining patterns (Fig. 1B, C).

In controls, NeuN+ neuronal density was highest in the most superficial white matter (4.25 cells/mm2), and subsequently declined in the deeper white matter to densities of 0.794 cells/mm2 (Fig. 3A). Both schizophrenia and bipolar groups were observed to have greater overall mean NeuN+ neuronal densities compared to controls (2.87 ± 0.50 and 2.29 ± 0.44 cells/mm2 versus 1.28 ± 0.13 cells/mm2; mean ± standard error). Diagnosis had a significant effect on overall mean NeuN+ density (K = 14.0; p = 0.001). The increased NeuN+ densities observed in schizophrenia and bipolar groups were both significantly different from control density (Q = 13.6, p < 0.01 and Q = 7.24, p < 0.01), but the two patient groups were not significantly different from one another (Q = − 2.51, p > 0.05). When each compartment was analyzed individually, diagnosis was found to have a significant effect on NeuN+ density in all five compartments (K = 6.32, p = 0.042; K = 10.5, p = 0.005; K = 6.83, p = 0.033; K = 11.8, p = 0.003; K = 12.4, p = 0.002), with fold increases ranging from 1.17 to 3.75 (Fig. 3A, B). The increased NeuN+ densities observed in schizophrenia were significantly different from controls in all compartments (Q = 8.83, p < 0.01; Q 7.93, p < 0.01; Q = 8.43, p < 0.01; Q = 10.8, p < 0.01; and Q = 9.90, p < 0.01). NeuN+ densities in the bipolar cohort were significantly different from controls in compartments II–V (Q = 8.90, p < 0.01; Q = 4.42, p < 0.01; Q = 6.87, p < 0.01; and Q = 9.66, p < 0.01).

Figure 3
Increased NeuN+ neuronal density in white matter in schizophrenia and bipolar disorder

Notably, 7 out of 22 schizophrenia subjects and 3 of 15 bipolar subjects demonstrated overall NeuN+ densities more than two standard deviations above the control mean (Fig. 3C); this increased proportion of cases exceeding the 95th percentile of control mean was significant for both schizophrenia (χ2 = 12.3, p < 0.0001) and bipolar groups (χ2 = 5.7, p = 0.017). We conclude that approximately 25% of cases diagnosed with bipolar disorder or schizophrenia show a more robust increase in cingulate white matter neuron densities. Importantly, when these 10 clinical cases were removed from the analyses, differences between the remaining schizophrenia, bipolar and the control subjects for each of the five compartments were not significant when corrected for multiple comparisons. No demographic or other factor was identifiable that could distinguish between the 10 cases with white matter neuron density above the 95th percentile of controls and the remaining patients. For example, 3/7 (4/7) affected schizophrenia subjects were male (female), while all 3 affected bipolar subjects were female. Approximately one half of these cases were from the left and from the right hemisphere, and ages were not significantly different from the cohort means.

Also of note, NeuN+ neurons were present in the deeper white matter in only 24/45 of control subjects, but were found in 12/15 of bipolar subjects and in 20/22 schizophrenia subjects. These differences in distribution were significant for both schizophrenia (χ2 = 10.3, p = 0.001) and bipolar groups (χ2 = 8.4, p = 0.004). These findings also resonate with several previous reports suggesting elevated neuronal numbers in deeper white matter (8, 19, 20). Among the 4 cases that were not on antipsychotic medication prior to death, 3 cases (75%) were found to harbor NeuN+ neurons in white compartments III–V. Therefore, the much higher proportion of subjects with NeuN+ neurons in deeper white matter in the two disease cohorts is unlikely to be due to antipsychotic medication. No association was observed between NeuN+ densities and age (r = 0.050) or PMI (r = −0.029), and there was no robust correlation with age-of-onset (r = −0.36, R2 = 0.14), albeit information about this clinical parameter was available only for a subset of cases. Additionally, there was no significant difference in NeuN+ density between left and right hemispheres (U = 154.5; p = 0.480). Furthermore, there were no significant differences between genders within the 3 diagnostic categories (control: U = 65.5, p = 0.552; schizophrenia: U = 36.0, p = 0.335; bipolar: U = 18.0, p = 0.087). Finally, among 5 factors tested by ANCOVA (diagnosis, hemisphere, PMI, age, gender) only diagnosis had a significant effect on overall NeuN density (F = 8, p = 0.0007). Therefore, the observed increases in white matter NeuN+ neuronal density in the clinical samples of our cohort are most likely related to the disease itself and not due to other factors.

NRG+ neuronal density is unaltered in cingulate white matter in schizophrenia and bipolar disorder

Next, we wanted to study additional white matter neuron populations. To this end, we noticed that while immunostaining with the anti-Neuregulin α (NRG) antibody (see Methods) resulted in robust labeling of a subpopulation of bi- or multipolar neurons residing in cortex and white matter (Fig. 2C), none of the NeuN+ neurons in white matter (Fig. 2A, B) expressed NRG. Therefore, the white matter neuronal population expressing NeuN does not overlap with NRG+ cells, which is consistent with previous reports that NeuN is expressed in some—but not all—subpopulations of neurons (33, 34).

Figure 2
NeuN and NRG1α(NRG) immunoreactivity define two non-overlapping neuronal subpopulations

We determined the density of NRG+ neurons in both gray and white matter in a subset of 10 bipolar, 16 schizophrenia, and 26 control subjects. (We had previously observed increased NeuN+ white matter neurons in these clinical cases, similar to the ones reported above for the larger cohorts (data not shown).) For each of the 3 diagnostic groups, NRG+ density was lower in the cortical gray matter of cingulate as compared to the white matter (Fig. 3E), which is consistent with a previous report demonstrating that NRG+ neurons are less common in gray matter compared to white in adult human brain (27). In white matter, both schizophrenia and bipolar groups demonstrated similar mean NRG+ densities compared to controls (1.34 ± 0.099 and 1.31 ± 0.18 cells/mm2 versus 1.26 ± 0.13 cells/mm2), and there was no significant effect of diagnosis on overall, or compartment-specific, NRG+ density (K = 1.8, p = 0.406) (Fig. 3E, F). These findings further confirm that the observed increase in NeuN+ density in cingulate white matter bipolar disorder and schizophrenia is specific for that neuronal population.

NeuN+ neuronal density in cingulate gray matter is unaltered in schizophrenia and bipolar disorder

NeuN+ densities in gray matter were typically 50–150 fold higher than in white matter, but there was no significant correlation between the two (bipolar r = 0.0005; schizophrenia r = 0.004; control r = 0.0319; all subjects r = 0.0013) (Supplemental Figure 1). We conclude that the variation in neuronal densities in cingulate white matter is dissociated from any density changes of the overlying cortex.

Size of NeuN+ neurons in cingulate white matter is unaltered in schizophrenia and bipolar disorder

To rule out that the observed increase in NeuN+ density in bipolar disorder and schizophrenia could be an artifact due to a larger size of the NeuN-immunoreactive cells, we determined the average area of these cells in bipolar, schizophrenia, and control subjects, and no significant differences between diagnostic groups were found (0.092 ± 0.006; 0.099 ± 0.003; and 0.101 ± 0.003 mm2) (F = 1.09; p = 0.367).

NeuN+ neuronal density is also increased in dorsolateral prefrontal cortex (BA9) white matter in schizophrenia

In the control subjects of the current study, the average density of NeuN+ neurons in cingulate white matter near the sulcal bottom ranged from 0.79 to 4.31 cells/mm2. This contrasts with a previous study conducted on the middle banks of dorsolateral prefrontal cortex that reported NeuN+ densities of up to 40 cells/mm2 in sections of similar thickness (14). These differences are not unexpected, because the number of interstitial white matter neurons tend to decline towards sulcal fundi and, moreover, the thickness of the neuronal layer in the embryonic interstitial zone (future white matter), is thinner underneath the cingulate in comparison to the lateral cortex (23).

Therefore, we wanted to determine whether neuronal densities show regional differences in frontal lobe white matter and whether increased NeuN+ densities in the cingulate could be extrapolated to other areas. Indeed, NeuN+ densities in white matter beneath the sulcal bottom of the superior frontal gyrus (BA9) of 5 μm thick sections (see Methods) ranged from 0.21–2.48 cells/mm2 in control subjects. If adjusted for differences in section thickness, NeuN+ neuron density in BA9 is 5-fold higher when compared to the cingulate. NeuN+ densities in the 6 schizophrenia cases showed a significant increase in BA9, compared to controls matched for age, gender and autolysis time (Fig. 3D); these same 6 subjects also demonstrated increased NeuN+ densities in cingulate cortex as compared to the 6 controls (mean = 4.01 cells/mm2 versus 1.28 cells/mm2). Therefore, altered NeuN+ densities in psychosis potentially affect widespread portions of the frontal lobes.

NeuN+ nuclei are increased in cingulate white matter in schizophrenia

Next, we wanted to confirm that the elevated two-dimensional (2D) NeuN+ cell density can be replicated with a three-dimensional counting method. However, optical dissectors are not ideal for white matter neuron quantifications because neuronal numbers are low overall and unevenly distributed (35). To bypass these limitations, we calculated the total number of NeuN+ and NeuN− nuclei extracted from a standardized column of white matter tissue from frozen, unfixed anterior cingulate (see Methods) (Fig. 4A–C). These additional studies were conducted on 6 schizophrenia cases that—in comparison to 5 matched controls—showed a 6.6-fold increase in overall NeuN+ densities as determined by the 2D approach (schizophrenia: 3.59 ± 0.70 cells/mm2; controls: 0.55 ± 0.41 cells/mm2, Mann-Whitney U = 31, p < 0.05). As shown in Fig. 4D, these 6 schizophrenia cases also showed a significant, 7.4-fold increase in NeuN+ nuclei per mm3 white matter tissue (schizophrenia: 376 ± 253 nuclei/mm3; controls: 51 ± 38 cells/mm3; Mann-Whitney U = 0, p = 0.006). Across the 11 subjects, there was a good linear correlation between the 2D and 3D counts (R = + 0.72). In contrast to the observed increase in NeuN+ nuclei, the schizophrenia group did not show increased numbers of overall nuclei (neuronal and non-neuronal) (Fig. 4B, E). This increase in NeuN+ nuclei—in the absence of an increase in DAPI+ nuclei—makes sense given that less than 4% of the white matter nuclei population is neuronal (Fig. 4D–F), and, thus, an increase in neuronal nuclei will not necessarily be reflected by an increase in all nuclei. From these findings, we draw two conclusions: First, increased numbers and densities of NeuN+ white matter neurons in our clinical cases are apparent when employing two different methodologies. Second, this alteration is highly specific, because overall numbers of cells in the white matter remained unaltered.

Figure 4
Isolation and quantification of nuclei from cells residing in white matter

Iba1 immunoreactivity is unaltered in cingulate white matter in schizophrenia and bipolar disorder

Next, we wanted to explore whether the observed alterations in NeuN+ density in white matter were related to a change in the microglia population, because a recent study in multiple sclerosis suggests a potential link between microglial activation—a hallmark of the inflammatory response in brain—and increased white matter neuron densities (30). To this end, we graded immunoreactivity for the microglial marker, Iba1 (see Methods), on a scale of 0–4 in all schizophrenia and bipolar subjects, together with a subset of controls (Supplemental Figure 2A). We found no significant difference in Iba1 immunoreactivity between groups, nor was it associated with NeuN+ density in white matter (Supplementary Figure 2B, C). We conclude that increased presence of NeuN+ neurons in white matter of a subset of schizophrenia and bipolar subjects is not associated with microglial activation.

NeuN+ neuronal density in white matter decreases during development

Interstitial white matter neurons of adult brain are thought to be vestiges of the subplate, a transient structure of the developing brain that shows a progressive involution starting in the 3rd trimester (36). Previous studies utilized Nissl, Golgi and acetylcholinesterase staining to determine developmental changes in subplate neuronal densities subjacent to visual, somatosensory, motor, and prefrontal cortices (23, 37). While there is general consensus that neuronal density in subcortical white matter declines during the first year of postnatal life, the specific timing of this event varied depending upon the cell markers used.

Presently, it is not known whether NeuN-immunoreactive white matter neurons undergo changes in numbers or densities during development. Therefore, we monitored the temporal course of NeuN+ neuronal density in postmortem specimens of a new postmortem cohort ranging in age from 40 weeks of gestation to 51 years of age (Table 1). To avoid variability of frontal lobe anatomy as potential confound, we focused on white matter space underneath the lobe’s rostral pole, which is unambiguously identifiable in both young and old brain. There was a steep decline in NeuN+ densities during the first year of life, after which the density plateaued and remained relatively constant throughout childhood, adolescence, and adulthood (Fig. 5). The mean NeuN+ density for the 10 subjects > 1 year (14.6 ± 6.42 cells/mm2) demonstrated a 76.7% decrease as compared to the mean density of 4 subjects < 1 year (62.7 ± 29.6 cells/mm2); this difference was significant (U = 0, p = 0.005; 1 degree of freedom).

Figure 5
White matter NeuN+ neuronal density demonstrates an age-associated decline during development


We report that approximately 25% of subjects diagnosed with bipolar disorder or schizophrenia show an elevated density of NeuN-immunoreactive cells in cingulate white matter. These changes were observed both by 2- and 3-dimensional counting techniques. The alteration was specific, because (i) no association between NeuN+ densities in gray and white matter was observed and (ii) the density of a different population of white matter neurons, immunoreactive for NRG, in the disease cohorts was not significantly different from controls. Increased NeuN+ density in cingulate white matter was paralleled by a similar increase in dorsolateral prefrontal white matter, suggesting that these cellular alterations affect widespread portions of the frontal lobe. Additionally, the density of NeuN+ neurons in white matter during normal development was found to decline during the first year of postnatal life, but remained stable thereafter, suggesting that the observed alterations in the schizophrenia and bipolar cohorts may reflect a disturbance during the late prenatal or early postnatal period. In multiple sclerosis, chronic lesions within subcortical white matter harbor increased numbers of neurons (30) in conjunction with increased microglia, but, in the present study, there was no association between these two white matter cell populations.

The fact that NeuN+ neuronal density was increased in cingulate white matter not only in schizophrenia, but also in bipolar disorder, was unexpected because two earlier studies on the dorsolateral prefrontal cortex had reported negative findings (11, 17). However, the overall smaller sample sizes in those studies may have precluded the recognition of a subgroup of approximately 20–30% of affected subjects that, according to the present study, show a robust elevation in white matter neuron numbers. In either case, the findings presented here add to the emerging evidence that neurodevelopmental mechanisms play a role in some cases with bipolar illness (38) and, moreover, that such mechanisms may represent a common underlying pathophysiology of psychotic spectrum disorders.

The mechanism by which this increase in white matter neurons in psychosis occurs is unclear, but failure of neuronal migration or decreased cell death could be involved (720); the latter hypothesis adds to the notion of faulty apoptosis in some cases with psychosis (39). It is unlikely that the increase in NeuN+ cells in white matter of clinical cases is due to newly generated neurons later in life, because—thus far—evidence for neurogenesis in postnatal human cerebral cortex is lacking (40).

Strikingly, a number of the emerging susceptibility genes and pathways for schizophrenia and bipolar disorder—including Disrupted-in-schizophrenia 1 (DISC1) and the Neuregulin 1 (NRG1)-erbB4 tyrosine kinase—are important regulators of migration, positioning, and formation of functional circuits of immature neurons during the development of cerebral cortex and other forebrain structures (41, 42). As mentioned above, the 22q11.2 deletion syndrome (22qDS), a genetic cause for bipolar disorder and schizophrenia (5)—is associated with heterotopias and numerous ectopic neurons scattered throughout the white matter of the frontal lobe (6). Therefore, further study of these risk genes and genetic syndromes may provide important insights into the mechanisms underlying white matter abnormalities in psychotic disorders.

The pathophysiological consequences of increased white matter neuron density in cingulate and prefrontal cortices remain unknown. Notably, white matter neurons surviving preprogrammed cell death during development are known to become functionally integrated with the circuitry of the mature cortex (43) and, furthermore, remain interconnected with the thalamus (44), suggesting that any excess of white matter neurons in schizophrenia and bipolar disorder could indeed impair cortical and subcortical circuitries. It is intriguing to speculate that elevated neuronal numbers in adult white matter reflect a defect present from the prenatal period onwards, because a subset of the neurons residing beneath the developing cortical plate in the fetal brain are essential for orderly development of the GABAergic circuitry in the overlying cortex (45). Therefore, the dysfunction of inhibitory interneurons—a core component in the pathophysiology of some types of psychosis (46, 47)—ultimately may have its roots in a neurodevelopmental defect of the future white matter.

Supplementary Material



The authors would like to thank Dr. F.M. Benes, Mr. George Tejada, and Mr. Louis Fernandez from the Harvard Brain Tissue Resource Center at McLean Hospital, Belmont MA; Dr. E.G. Jones, Dr. W.E. Bunney Jr, and Mr. Phong Nguyen from the Center for Neuroscience at the University of California at Davis; Dr. R. Zielke and Mr. R. Johnson of the Brain and Tissue Bank for Developmental Disorders, University of Maryland, for providing brain tissues, and Dr. A. Chang and Dr. B.D. Trapp for generously providing us with Iba1 antibody. Supported by grants from the National Institute of Mental Health.


Financial Disclosures The author reported no biomedical financial interests or potential conflicts of interest.

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