Faculty Bibliography

Structural brain developmental anomalies, particularly those in frontotemporal white matter pathways, may have a genetic component and place people at increased risk for schizophrenia. The current study employed Diffusion Tensor Imaging (DTI) to measure fractional anisotropy (FA) as a quantitative indicator of white matter integrity. We examined twenty-two participants at high genetic risk for schizophrenia (HR), 23 people with schizophrenia (most of whom were family members of those at HR) and 37 non-psychiatric controls for comparison. In those at HR, reduced FA was observed in the cingulate and angular gyri bilaterally. In a few regions, FA was higher in HR participants than in comparison participants. These regional variations in FA might reflect differences in white matter development from comparison participants. Our data provide some evidence that abnormal white matter integrity may be detectable before the onset of a psychotic illness, although longitudinal studies are necessary to determine whether these individuals at genetic risk with abnormal FA will develop illness and whether these changes are associated with the genetic risk for the disorder

OBJECTIVE: Geriatric depression consists of complex and heterogeneous behaviors unlikely to be caused by a single brain lesion. However, abnormalities in specific brain structures and their interconnections may confer vulnerability to the development of late-life depression. The objective of this study was to identify subtle white matter abnormalities in late-life depression. DESIGN: The authors used magnetization transfer ratio (MTR) imaging, a technique that is thought primarily to reflect myelin integrity, to examine the hypothesis that individuals with late-life depression would exhibit white matter abnormalities in frontostriatal and limbic regions. SETTING: The study was conducted in a university-based, geriatric psychiatry clinic. PARTICIPANTS: Fifty-five older patients with major depression and 24 elderly comparison subjects were assessed. MEASUREMENT: Voxel-based analysis of MTR data were conducted with a general linear model using age as a covariate. RESULTS: Relative to comparison subjects, patients demonstrated lower MTR in multiple left hemisphere frontostriatal and limbic regions, including white matter lateral to the lentiform nuclei, dorsolateral and dorsomedial prefrontal, dorsal anterior cingulate, subcallosal, periamygdalar, insular, and posterior cingulate regions. Depressed patients had lower MTR in additional left hemisphere locales including the thalamus, splenium of the corpus callosum, inferior parietal, precuneus, and middle occipital white matter regions. CONCLUSION: These findings suggest that geriatric depression may be characterized by reduced myelin integrity in specific aspects of frontostriatal and limbic networks, and complement diffusion tensor studies of geriatric depression that indicate decreased organization of white matter fibers in specific frontal and temporal regions

OBJECTIVE: White matter abnormalities may interfere with limbic cortical balance and lead to chronic depressive syndromes. The authors used diffusion tensor imaging to test the hypothesis that depressed elders who fail to achieve remission have microstructural white matter abnormalities in cortico-striato-limbic networks implicated in geriatric depression. METHOD: The subjects were nondemented individuals with nonpsychotic major depression. After a 2-week placebo period, those subjects who had a Hamilton Depression Rating Scale (HAM-D) score of 18 or greater received escitalopram, 10 mg daily, for 12 weeks. Remission was defined as a HAM-D score of 7 or below for 2 consecutive weeks. Diffusion tensor imaging was performed at a 1.5 Tesla scanner, and voxel-based analysis of fractional anisotropy was conducted using age as the covariate. RESULTS: Subjects who failed to achieve remission (N=23) had lower fractional anisotropy in multiple frontal limbic brain areas, including the rostral and dorsal anterior cingulate, dorsolateral prefrontal cortex, genu of the corpus callosum, white matter adjacent to the hippocampus, multiple posterior cingulate cortex regions, and insular white matter, relative to those who achieved remission (N=25). In addition, lower fractional anisotropy was detected in the neostriatum and midbrain as well as select temporal and parietal regions. CONCLUSIONS: Lower fractional anisotropy in distributed cerebral networks is associated with poor antidepressant response of geriatric depression and may represent a neuroanatomical substrate that predisposes to this disorder

OBJECTIVE: Individuals with schizophrenia show severe deficits in their ability to decode emotions based upon vocal inflection (affective prosody). This study examined neural substrates of prosodic dysfunction in schizophrenia with voxelwise analysis of diffusion tensor magnetic resonance imaging (MRI). METHOD: Affective prosodic performance was assessed in 19 patients with schizophrenia and 19 comparison subjects with the Voice Emotion Identification Task (VOICEID), along with measures of basic pitch perception and executive processing (Wisconsin Card Sorting Test). Diffusion tensor MRI fractional anisotropy valves were used for voxelwise correlation analyses. In a follow-up experiment, performance on a nonaffective prosodic perception task was assessed in an additional cohort of 24 patients and 17 comparison subjects. RESULTS: Patients showed significant deficits in VOICEID and Distorted Tunes Task performance. Impaired VOICEID performance correlated significantly with lower fractional anisotropy values within primary and secondary auditory pathways, orbitofrontal cortex, corpus callosum, and peri-amygdala white matter. Impaired Distorted Tunes Task performance also correlated with lower fractional anisotropy in auditory and amygdalar pathways but not prefrontal cortex. Wisconsin Card Sorting Test performance in schizophrenia correlated primarily with prefrontal fractional anisotropy. In the follow-up study, significant deficits were observed as well in nonaffective prosodic performance, along with significant intercorrelations among sensory, affective prosodic, and nonaffective measures. CONCLUSIONS: Schizophrenia is associated with both structural and functional disturbances at the level of primary auditory cortex. Such deficits contribute significantly to patients' inability to decode both emotional and semantic aspects of speech, highlighting the importance of sensorial abnormalities in social communicatory dysfunction in schizophrenia.

BACKGROUND: This study tested the hypothesis that microstructural white matter abnormalities in frontostriatal-limbic tracts are associated with poor response inhibition on the Stroop task in depressed elders. METHOD: Fifty-one elders with major depression participated in a 12-week escitalopram trial. Diffusion tensor imaging was used to determine fractional anisotropy (FA) in white matter regions. Executive function (response inhibition) was assessed with the Stroop task. Voxelwise correlational analysis was used to examine the relationship between Stroop performance and fractional anisotropy. RESULTS: Significant associations between FA and Stroop color word interference were evident in multiple frontostriatal-limbic regions, including white matter lateral to the anterior and posterior cingulate cortex and white matter in prefrontal, insular, and parahippocampal regions. CONCLUSIONS: These findings suggest that microstructural white matter abnormalities of frontostriatal-limbic networks are associated with executive dysfunction of late-life depression. This observation provides the rationale for examination of specific frontostriatal-limbic pathways in the pathophysiology of geriatric depression.

Geriatric depression consists of complex and heterogeneous behaviors unlikely to be caused by a single brain lesion. However, there is evidence that abnormalities in specific brain structures and their interconnections confer vulnerability to the development of late-life depression. Structural magnetic resonance imaging methods can be used to identify and quantify brain abnormalities predisposing to geriatric depression and in prediction of treatment response. This article reviews several techniques, including morphometric approaches, study of white matter hyperintensities, diffusion tensor imaging, magnetization transfer imaging, t2 relaxography, and spectroscopy, that have been used to examine these brain abnormalities with a focus on the type of information obtained by each method as well as each method's limitations. The authors argue that the available methods provide complementary information and that, when combined judiciously, can increase the knowledge gained from neuroimaging findings and conceptually advance the field of geriatric depression

Patients with schizophrenia show deficits in several neurocognitive domains. However, the relationship between white matter integrity and performance in these domains is poorly understood. The authors conducted neurocognitive testing and diffusion tensor imaging in 25 patients with schizophrenia. Performance was examined for tests of verbal declarative memory, attention, and executive function. Relationships between fractional anisotropy and cognitive performance were examined by using voxelwise correlational analyses. In each case, better performance on these tasks was associated with higher levels of fractional anisotropy in task-relevant regions

OBJECTIVE: Patients with schizophrenia have visual-processing deficits. This study examines visual white matter integrity as a potential mechanism for these deficits. METHOD: Diffusion tensor imaging was used to examine white matter integrity at four levels of the visual system in 17 patients with schizophrenia and 21 comparison subjects. The levels examined were the optic radiations, the striate cortex, the inferior parietal lobule, and the fusiform gyrus. RESULTS: Schizophrenia patients showed a significant decrease in fractional anisotropy in the optic radiations but not in any other region. CONCLUSIONS: This finding indicates that white matter integrity is more impaired at initial input, rather than at higher levels of the visual system, and supports the hypothesis that visual-processing deficits occur at the early stages of processing