Representative multislice composite series of coronal images demonstrating the boundaries delineating measurement of prefrontal cortical volume.
Nolan CL, Moore GJ, Madden R, Farchione T, Bartoi M, Lorch E, Stewart CM, Rosenberg DR. Prefrontal Cortical Volume in Childhood-Onset Major DepressionPreliminary Findings. Arch Gen Psychiatry. 2002;59(2):173-179. doi:10.1001/archpsyc.59.2.173
Copyright 2002 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.2002
Abnormalities in the prefrontal cortex have been implicated in the pathogenesis of major depressive disorder (MDD). To our knowledge, no prior study has examined prefrontal cortical anatomy in pediatric patients with MDD near the onset of illness before receiving treatment.
Volumetric magnetic resonance imaging studies were conducted in 22 psychotropic-naive patients with MDD, aged 9 to 17 years (10 males and 12 females), and 22 case-matched healthy comparison control subjects. Twelve of the 22 patients with MDD had at least 1 first-degree relative with MDD (familial MDD), whereas 10 had no clear family history of MDD (nonfamilial MDD).
Patients with nonfamilial MDD had significantly larger left-sided but not right-sided prefrontal cortical volumes than patients with familial MDD(17% larger) and controls (11% larger). Left-sided and right-sided prefrontal cortical volumes did not differ significantly between patients with familial MDD and controls.
These results provide new evidence of prefrontal cortical alterations in pediatric MDD that may differ in familial and nonfamilial subtypes of MDD. Our findings must be considered preliminary, however, in view of the small sample size.
MAJOR depressive disorder (MDD) is a severe, prevalent, and often chronically disabling illness that is continuous with adult MDD.1 The lifetime prevalence of pediatric MDD is 15% to 20% consistent with reported rates in adult patients with MDD.2- 4 Investigations of younger patients with MDD can minimize potentially confounding factors such as illness duration and treatment intervention and may begin to clarify the contribution of neurodevelopmental abnormalities to the pathogenesis of MDD.
The prefrontal cortex plays a critical role in mood regulation (see Byrum et al5 for review). Abnormalities in the prefrontal cortex have, therefore, been hypothesized to be involved in causing depressive symptoms.6- 8 The positive correlation between increased severity of depression in patients with strokes and closeness of the lesion to the frontal pole9,10 combined with increased rates of MDD in patients with frontal lobe lesions11 provide indirect support for this hypothesis. More direct evidence comes from functional neuroimaging studies in adult patients with MDD who demonstrate prefrontal cortical (PFC) abnormalities associated with severity of depression and treatment response.12- 15
Dolan et al16 observed increased magnetic resonance imaging (MRI) T1-weighted values in the frontal white matter of patients with MDD but not bipolar disorder. Increased frontal lobe white matter hyperintensities may be especially prominent in elderly patients with late-onset MDD,17- 19 particularly those with underlying cerebrovascular disease originating from atherosclerotic disease.18,20- 23 Krishnan et al24 noted decreased frontal brain width in elderly patients with MDD vs control subjects. Coffey et al25 subsequently found a 7% reduction in the total frontal lobe volume in 44 elderly patients with MDD referred for electroconvulsive therapy vs controls. More recently, Kumar et al26,27 reported an overall decrease in frontal lobe volume and an increased number of frontal lesions in elderly patients with depression. In contrast, Bremner et al28 found no significant differences in frontal lobe volumes in younger adult patients with MDD (mean age, 43 years) in remission from antidepressant treatment compared with controls. Steingard et al,29 however, observed decreased frontal lobe– cerebral volume ratios in adolescent patients with MDD compared with healthy controls.
Postmortem investigation of the prefrontal cortex30 has identified reduced neuronal and glial densities in the prefrontal cortex of patients with MDD compared with controls. In vivo neuroimaging studies in adult patients with MDD and bipolar disorder have identified reductions in left-sided PFC gray matter volumes associated with reduced cerebral blood flow in this region.14 These abnormalities were most prominent in patients with MDD and bipolar disorder with at least1 first-degree relative with MDD or bipolar disorder but were not observed in patients with MDD and bipolar disorder without at least 1 first-degree relative with MDD or bipolar disorder. In a related postmortem histological study, Ongur et al31 observed a reduction in glial number in the prefrontal cortex in familial but not nonfamilial MDD and bipolar disorder.
Twenty percent to 46% of the patients with MDD have a first-degree relative with MDD with an inverse relationship between age of onset of MDD and density of familial loading of MDD.32- 47 Although MDD commonly emerges during childhood and adolescence, to our knowledge, no prior brain imaging study has examined patients with MDD near-illness onset, before exposure to psychotropic medication. Studying this population helps minimize potential confounders of illness duration and medication treatment.48- 50 The prefrontal cortex, a primary site of metabolic abnormality in MDD,12,14,15 undergoes substantial developmental changes during childhood and adolescence. Therefore, we performed a volumetric MRI study in pediatric patients with MDD, focusing on the prefrontal cortex. We hypothesized reduced left-sided but not right-sided PFC volumes in familial patients with MDD compared with both nonfamilial patients with MDD and healthy comparison subjects.
Twenty-two right hand–dominant, psychotropic-naive patients with MDD, aged 9 to 17 years (10 males and 12 females), and 22 healthy controls matched pairwise for age, sex, weight, and height were recruited. Mean (±SD) age of onset of the first clinical presentation in the patients with MDD was12.18 ± 2.68 years. Patients and controls were matched within a maximum of 12.96 months of each other (mean age, 5.58 ± 3.7 months). Patients were recruited after being referred to the Wayne State University Child Psychiatry outpatient clinic, Detroit, Mich. Controls were referred by pediatricians and school and community groups. Both patients and controls were paid an honorarium for their participation in this clinical research study. The Schedule for Affective Disorders and Schizophrenia for School-Age Children–Present and Lifetime Version (K-SADS-PL)51 was administered to all subjects and their parent(s). A board-certified pediatric psychiatrist(D.R.R.) reviewed all clinical information and confirmed DSM-IV52 diagnostic criteria as well as associated medical or neurologic conditions. Exclusion criteria included lifetime history of psychosis, bipolar disorder, obsessive-compulsive disorder, anorexia or bulimia nervosa, posttraumatic stress disorder, substance abuse or dependence, Tourette syndrome or other tic-related conditions, autism, mental retardation or learning disabilities, or significant medical or neurologic conditions. Of the 22 patients, 7 had comorbid anxiety disorders, 4 had oppositional defiant disorder, 2 had attention-deficit disorder without hyperactivity, 1 had dysthymia, and 9 had MDD as their sole diagnosis. As determined by Family History–Research Diagnostic Criteria,5312 patients had at least 1 first-degree relative with MDD. No patients had a first-degree relative with bipolar disorder. Controls had no history of psychiatric illness and no family history of a DSM-IV52 Axis I disorder. Written informed consent was obtained from all parents or legal guardians and written assent was obtained from all children prior to initiating the study in compliance with the regulations of the Wayne State University Pediatric Human Investigation Committee.
Depression symptom severity was measured by the Childhood Depression Rating Scale-Revised54 (mean ± SD score, 57.27 ± 8.64). All patients had a Childhood Depression Rating Scale-Revised score of at least 42, indicative of significant dysfunction. Severity of anxiety was also assessed with the Hamilton Anxiety Rating Scale55(mean ± SD score, 12.41 ± 8.07). A score of 14 or higher is considered clinically significant.56 A screening neuropsychological examination revealed no abnormalities and no significant differences between patients with MDD and controls in general intelligence as measured by the Ammons Quick IQ Test,57 motor coordination assessed with the Grooved Pegboard Test,58 attention measured with the Digit Span scaled score from the Wechsler Intelligence Scale for Children59 or handedness measured by the Annett Behavioral Handedness Index.60 One patient with MDD was unable to complete the neuropsychological screening because of severity of illness.
The MRI studies were conducted with a 1.5-T (version 5.7; GE Signa; General Electric, Milwaukee, Wis) magnetic resonance system (General Electric). Image acquisition and analysis are described in detail in our prior reports.50,61 Briefly, a sagittal scout series was obtained to test image quality and clarity. A 3-dimensional spoiled gradient echo-pulse sequence obtained one hundred twenty-four 1.5-mm-thick coronal contiguous slices through the entire brain, perpendicular to the anterior commisure–posterior commisure line (echo time, 5 milliseconds; repetition time, 25 milliseconds; acquisition matrix, 256 × 256 pixels; field of view, 24 cm; and flip angle, 10°). Positioning was done by the magnetic resonance technologist under the supervision of an expert in these procedures(G.J.M.). Measurement of the "tilt" in the axial plane (relative to the long axis of the magnet) was conducted to determine whether the degree of tilt in patients with MDD and controls differed. No significant differences were observed between the 2 groups. All MRI scans were reviewed to rule out clinically significant abnormalities. Scans with motion artifact (n = 1) were excluded from analysis. Thus, 22 case-control pairs were analyzed. Images were exported from the MRI unit to a computer workstation (MacIntosh Personal Computer; Apple Computer, Cupertino, Calif).
Anatomical boundaries (detailed definitions are available on request) were determined from neuroanatomical atlases62,63 and adapted from previously published psychiatric neuroimaging studies of the prefrontal cortex.61,64- 66 Measurement of intracranial volume is described elsewhere.61 Anatomical data were measured with National Institute of Health image software(version 1.61),67 a semiautomated segmentation algorithm for obtaining reliable quantitative neuroanatomical measurements.68,69 This semiautomated segmentation algorithm measured regions of interest from coronal scans using 3-dimensional, spoiled gradient, recalled acquisitions in the steady state. Mathematical cutoffs for gray matter–white matter–cerebrospinal fluid divisions were determined with histograms of signal intensity. Validation of this method by a point-counting stereological approach based on the Cavalieri theorem of systematic sampling70 has been achieved. Both methods have documented validity and sensitivity with high correlations(r = 0.96).69
Left and right PFC regions were measured separately. The most anterior coronal slice containing gray matter served as the anterior boundary, while the genu of the corpus callosum marked the posterior boundary (Figure 1). Separate measurements for gray and white matter were obtained from each slice. Total gray and white matter combined represented total PFC volume.
Measurements of prefrontal cortex and intracranial volume were made in a single batch by a single well-trained and reliable rater (R.M.) blind to any identifying clinical information. Interrater and intrarater reliability(C.N. and R.M.) for PFC (0.99) and intracranial volume (0.97-0.99) were high.
We conducted analyses of covariance (ANCOVAs) with age and intracranial volume as covariates, and the Scheffé post hoc tests to examine for significant differences among diagnostic groups. We also examined for differences in left-sided and right-sided PFC volumes testing for the interaction of laterality with group. The ANCOVAs with age as a covariate were used to test for differences in intracranial volume between patients with MDD and controls. Independent t tests were used to compare patients with MDD and controls on neuropsychologic screening measures, head tilt, age, height, and weight. All analyses were conducted using SPSS software.71 Two-tailed significance is reported throughout, with statistical significance defined as P<.05.
Intracranial volume and left- and right-sided PFC volumes did not differ significantly between the 22 MDD case-control pairs (Table 1). The ANCOVA with age and intracranial volume as covariates revealed significant intergroup differences in left-sided but not right-sided total PFC volume or prefrontal gray and white matter volumes (Table 2). Post hoc tests revealed that patients with nonfamilial MDD had larger left-sided but not right-sided total PFC volumes and prefrontal white matter volumes than both patients with familial MDD and controls. Left- and right-sided total PFC white matter and gray matter volumes did not differ between patients with familial MDD and controls. Left-sided PFC gray matter volumes were smaller in patients with familial MDD than in patients with nonfamilial MDD. Intracranial volume did not differ among patients with familial MDD, patients with nonfamilial MDD, and controls. Significant inverse correlations were observed in patients with familial MDD between severity of MDD as measured by the Childhood Depression Rating Scale-Revised and total left-sided PFC volume (r = −0.66, P= .03), left-sided prefrontal gray matter (r = −0.67, P = .023) but not left-sided prefrontal white matter volume. Although not statistically significant, longer illness duration tended to be inversely correlated with reduced total left-sided PFC volume(r = −0.57, P = .07), left-sided prefrontal gray matter (r = −0.58, P = .06) but not left-sided PFC white matter. Illness duration and severity were not associated with PFC volumes in patients with nonfamilial MDD. Comparable ages were observed in male (13.43 ± 2.70 years) and female patients (13.90 ± 2.26 years) with MDD. No sex-related differences were noted in PFC and intracranial volumes between patients with MDD and controls.
Assessment of group by side (left-right) interactions for PFC volume revealed a significant group effect (F2,87 = 4.35, P = .02) and a significant interaction with side (F1,87= 11.06, P = .001). Although there was a significant hemisphere difference in mean PFC volume, the magnitude of difference varied across group so that the interaction, while present, was a weak interaction given no crossover of the mean PFC values (F2,87 = 0.84, P = .44).
Alterations in left-sided PFC volume were most prominent in patients with nonfamilial MDD who had larger left-sided PFC volumes than both patients with familial MDD (17%) and controls (11%). This hypothesis-driven, preliminary investigation failed to replicate in vivo neuroimaging14 and postmortem investigation31 in adult patients with MDD and bipolar disorder that found reductions in left-sided prefrontal gray matter volumes, cerebral blood flow, and glial number in patients with at least 1 first-degree relative with MDD compared with both controls and patients without at least 1 first-degree relative with MDD or bipolar disorder. Our study provides new data about distinct differences in PFC anatomy in patients with familial and nonfamilial MDD without the confounders of central nervous system–active medications and with less potential influence of disease progression. Specifically, abnormalities in PFC anatomy may be associated with the clinical presentation of MDD, and this pathological involvement may be an early and central neurobiological deficit in the illness.
The association of reduced left-sided PFC volume with increased depressive symptom severity in patients with familial MDD but not nonfamilial MDD may reflect a continuum of illness in which reduction of left-sided PFC volume increases with increased severity of illness and duration of illness. The results of this study, as well as studies in adult patients with MDD demonstrating that PFC abnormalities are most prominent in patients with a clear family history of MDD or bipolar disorder14,31,72 suggest that prefrontal volume reduction in patients with familial MDD may reflect left-sided PFC degeneration. Increased left-sided PFC volume in treatment-naive pediatric patients with nonfamilial MDD may, in contrast, reflect abnormal PFC maturation. These arguments must be considered speculative, however. Our division of patients with MDD into familial and nonfamilial MDD was arbitrary and does not consider patients with several relatives (eg, grandparents) who have MDD. Future studies with more precise delineation of familial and nonfamilial subtypes of MDD are clearly warranted.
It is possible that comorbid disorders associated with familial and nonfamilial patients with MDD might have a differential influence on brain anatomy and potentially confound results in this study. Seven of the 12 patients with familial MDD had comorbid DSM-IV Axis I psychiatric disorders, while 7 of the 10 patients with nonfamilial MDD had comorbid disorders. Comorbid anxiety disorders were also comparable in both groups (5 patients with familial MDD and 3 patients with nonfamilial MDD). However, all 3 patients with oppositional defiant disorder were patients with nonfamilial MDD. Patients with nonfamilial MDD had significantly larger left-sided PFC volumes compared with both patients with familial MDD and controls. Major depressive disorder with comorbid oppositional defiant disorder could, therefore, represent a discrete subtype of MDD with a differential influence on brain anatomy. The small sample size in the present study precludes more definitive conclusions but merits further investigation since MDD is commonly associated with comorbid psychiatric conditions.32,33
Consistent with neuroimaging studies in adult patients with MDD,14 we observed greater alterations in left than right-sided PFC volumes in treatment-naive pediatric patients with MDD. Although definitive conclusions regarding laterality and depression cannot be made at this time, a recent review of the literature8 found that left hemisphere lesions were more frequently associated with depression, while right hemisphere lesions were more commonly associated with mania.
To our knowledge, our study is the first to report increased left-sided PFC white matter volumes in patients with nonfamilial MDD compared with both patients with familial MDD and controls. Drevets et al14 did not report PFC white matter volumes in their sample of adult patients with MDD and bipolar disorder. This may have important implications in the pathogenesis of MDD since white matter plays a critical role in signal conduction and neurotransmission. Prefrontal cortical white matter lesions and abnormalities have been reported in adult patients with MDD and bipolar disorder.16- 19 The prefrontal cortex distributes terminal fibers through white matter to the hippocampus, a component of the limbic system that plays a particularly critical role in emotion.73- 75 Alterations in hippocampal volumes have been reported in adults with MDD.76- 78
Many brain regions have been implicated in the neuroanatomy of MDD.6- 8 Our findings suggest that the relevant brain circuits underlying the pathophysiology of pediatric MDD likely include the prefrontal cortex with distinct patterns in pediatric patients with familial vs nonfamilial MDD. However, it is likely that several other regions and abnormalities in regional interaction are involved in the pathogenesis of this heterogeneous and complex disorder. Our findings are preliminary in view of the small sample size and require replication in a separate, larger cohort before more definitive conclusions can be drawn. In vivo neuroimaging14,64 and postmortem investigations31 in adult patients with MDD have focused on specific subdivisions of the prefrontal cortex (eg, subgenual region) where volumetric reductions as high as 40% have been observed.13- 15 Such an approach may identify subtle localized region-specific alterations in PFC volume. Thus, future neuropathological as well as in vivo neuroimaging studies are critical to examine subdivisions of the prefrontal cortex as well as other brain regions including the amygdala, hippocampus, and basal ganglia that may also be involved in the pathogenesis of pediatric MDD.6- 8 Recent studies also suggest the feasibility of investigating PFC function and chemistry in vivo using functional14 and spectroscopic imaging techniques.79,80 These studies must control for potential neuroanatomical differences and subtypes of illness (eg, familial vs nonfamilial) for appropriate data interpretation. Given the evidence that PFC function continues to develop throughout adolescence into early adulthood,81- 83 studies of prefrontal cortex in MDD may help to identify critical windows for treatment intervention. Studies in children at high risk for developing MDD may also be helpful given recent neuroendocrine studies demonstrating abnormalities in this population.84
Accepted for publication August 13, 2001.
This work was supported in part by the National Alliance for Research on Schizophrenia and Depression, Great Neck, NY (Dr Rosenberg); the Miriam L. Hamburger Endowed Chair at Children's Hospital of Michigan, Detroit (Dr Rosenberg) and Wayne State University, Detroit; the State of Michigan Joe F. Young, Sr, Psychiatric Research and Training Program, Lansing, Mich; and grants MH01372, MH59299, MH65122, and MH02037 from the National Institute of Mental Health, Bethesda, Md (Dr Rosenberg).
We are grateful to Perry Renshaw, MD, PhD, Wayne Drevets, MD, Ranga Krishan, MD, and David A. Lewis, MD, for their consultation on these data, to Joel Ager, PhD, and Ronald Thomas, PhD, for statistical consultation, and to Valerie Felder for assistance with manuscript production.
Reprints: David R. Rosenberg, MD, Psychiatry 9B, 4201 St Antoine Blvd, Detroit, MI 48201, (e-mail: firstname.lastname@example.org).