[Psychiatric comorbidity: theoretical and clinical dilemmas]. / Psychiatrische comorbiditeit: theoretische en klinische dilemma's.

BACKGROUND: The high prevalence of psychiatric comorbidity is usually considered to be a problematic artefact of the DSM. Clinicians appear to be reluctant to register comorbid diagnoses. AIM: To provide insight into the concept of 'psychiatric comorbidity', so that the phenomenon can be dealt with more efficiently in clinical practice. METHOD: We studied the literature and performed a theoretical analysis. RESULTS: The high prevalence of psychiatric comorbidity is closely linked to the structure of the DSM and is leading increasingly to practical and theoretical problems. These problems have stimulated the development of several valuable alternative models of psychopathology. In the context of these developments, however, the use of terms such as 'artificial' has led to a needless and unfruitful polarisation of the debate. The debate needs to focus primarily on the usefulness of various models for patient care and research. CONCLUSION: Psychiatric comorbidity is an inevitable consequence of a categorical approach to psychopathology, which is basically legitimate. As long as the dsm in its current form constitutes an important part of our diagnostic 'arsenal', we advise clinicians to register comorbid classifications in as much detail as possible and at the same time to give close attention to the correct interpretation of the phenomenon.

A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression.

Electroconvulsive therapy (ECT) is effective even in treatment-resistant patients with major depression. Currently, there are no markers available that can assist in identifying those patients most likely to benefit from ECT. In the present study, we investigated whether resting-state network connectivity can predict treatment outcome for individual patients. We included forty-five patients with severe and treatment-resistant unipolar depression and collected functional magnetic resonance imaging scans before the course of ECT. We extracted resting-state networks and used multivariate pattern analysis to discover networks that predicted recovery from depression. Cross-validation revealed two resting-state networks with significant classification accuracy after correction for multiple comparisons. A network centered in the dorsomedial prefrontal cortex (including the dorsolateral prefrontal cortex, orbitofrontal cortex and posterior cingulate cortex) showed a sensitivity of 84% and specificity of 85%. Another network centered in the anterior cingulate cortex (including the dorsolateral prefrontal cortex, sensorimotor cortex, parahippocampal gyrus and midbrain) showed a sensitivity of 80% and a specificity of 75%. These preliminary results demonstrate that resting-state networks may predict treatment outcome for individual patients and suggest that resting-state networks have the potential to serve as prognostic neuroimaging biomarkers to guide personalized treatment decisions.

Microstructural integrity of the cingulum is related to verbal memory performance in elderly with cerebral small vessel disease: the RUN DMC study.

BACKGROUND: Cerebral small vessel disease (SVD) is related to verbal memory failures. It is suggested that early white matter damage, is located, among others, in the (posterior) cingulum at an early stage in neurodegeneration. Changes in the microstructural integrity of the cingulum assessed with diffusion tensor imaging (DTI), beyond detection with conventional MRI, may precede macrostructural changes and be related to verbal memory failures. OBJECTIVE: To investigate the relation between cingular microstructural integrity and verbal memory performance in 503 non-demented elderly with cerebral SVD. METHODS: The RUN DMC study is a prospective cohort study in elderly (50-85 years) with cerebral SVD. All participants underwent T1 MPRAGE, FLAIR and DTI scanning and the Rey Auditory Verbal Learning Test. Mean diffusivity (MD) and fractional anisotropy (FA) were assessed in six different cingular regions of interests (ROIs). Linear regression analysis was used to assess the relation between verbal memory performance and cingular DTI parameters, with appropriate adjustments. Furthermore a TBSS analysis of the whole brain was performed to investigate the specificity of our findings. RESULTS: Both our ROI-based and TBSS analysis showed that FA was positively related to immediate memory, delayed recall, delayed recognition and overall verbal memory performance of the cingulum, independent of confounders. A similar distribution was seen for the inverse association with MD and verbal memory performance with TBSS analysis. No significant relations were found with psychomotor speed, visuospatial memory and MMSE. When stratified on hippocampal integrity, the MD and FA values of the cingular ROIs differed significantly between participants with a good and poor hippocampal integrity. CONCLUSION: Microstructural integrity of the cingulum, assessed by DTI, is specifically related to verbal memory performance, in elderly with SVD. Furthermore we found that when the integrity of the hippocampus is disrupted, the cingulum integrity is impaired as well.

Depressive Symptoms and Amygdala Volume in Elderly with Cerebral Small Vessel Disease: The RUN DMC Study.

Introduction. Late onset depressive symptoms (LODSs) frequently occur in elderly with cerebral small vessel disease (SVD). SVD cannot fully explain LODS; a contributing factor could be amygdala volume. We investigated the relation between amygdala volume and LODS, independent of SVD in 503 participants with symptomatic cerebral SVD. Methods. Patients underwent FLAIR and T1 scanning. Depressive symptoms were assessed with structured questionnaires; amygdala and WML were manually segmented. The relation between amygdala volume and LODS/EODS was investigated and adjusted for age, sex, intracranial volume, and SVD. Results. Patients with LODS had a significantly lower left amygdala volume than those without (P = 0.02), independent of SVD. Each decrease of total amygdala volume (by mL) was related to an increased risk of LODS (OR = 1.77; 95% CI 1.02-3.08; P = 0.04). Conclusion. Lower left amygdala volume is associated with LODS, independent of SVD. This may suggest differential mechanisms, in which individuals with a small amygdala might be vulnerable to develop LODS.

Subjective cognitive failures and hippocampal volume in elderly with white matter lesions.

BACKGROUND: Subjective cognitive failures (SCF) and subjective memory failures (SMF) have been reported to be an early predictor of Alzheimer disease (AD) and have been attributed to white matter lesions (WML). Since AD is characterized by hippocampal degeneration, it is surprising that its relation with hippocampal atrophy has been investigated only sparsely. Previous studies on this are rare, limited in sample size, and did not adjust for WML. OBJECTIVE: To determine the relation between SCF and hippocampal volume in strata of objective cognitive performance among elderly without dementia with incidental WML. METHODS: The Radboud University Nijmegen Diffusion tensor and MRI Cohort study is a prospective cohort study among 503 subjects with WML aged between 50 and 85 years. All subjects underwent FLAIR and T1 MRI scanning. The amount of SCF and SMF was rated by the Cognitive Failure Questionnaire. Cognitive function was assessed by a cognitive screening battery. Volumetric measures of hippocampus and WML were manually performed. We assessed the relation between hippocampal volume and SCF and SMF adjusted for age, sex, education, depression, intracranial volume, and WML volume. RESULTS: Subjects with SCF and SMF had lower hippocampal volumes than those without (p = 0.01 and p = 0.02). This was most noteworthy in subjects with good objective cognitive performance (p(trend) = 0.007 and p(trend) = 0.03), and not in those with poor objective cognitive performance. CONCLUSION: Subjective cognitive failures (SCF) are associated with lower hippocampal volume, even in subjects without objective cognitive impairment and independent of white matter lesions. SCF has a radiologic detectable pathologic-anatomic substrate.