Depression in older people, especially depression with an older age of onset, may be a manifestation of acquired brain disease. The cerebrovascular model of depression, often referred to as “vascular depression,” hypothesizes that otherwise clinically occult small vessel brain disease contribute to the pathogeneses of some late-life depressive conditions. This paper reviews several lines of evidence supporting the cerebrovascular model and addresses the limitations of the existing literature. Several directions for future research are noted, including empirical testing of the notion that cerebrovascular disease might underlie the pathogeneses of depression with prominent executive dysfunction or other cognitive impairments. At this time, there are no specific therapeutic options for patients with suspected vascular depression beyond standard approaches to depression treatments, although education about the possibly greater risks of chronicity should be included in treatment planning. Therapy of cerebrovascular risk factors and stroke-risk reduction are important as consistent with general practice guidelines, although it is not known whether this will reduce the incidence or improve the outcome of late-life depression.

Herein, the background information reflecting roles of medical burden, cerebrovascular disease and risk factors, and cognitive impairment in geriatric depression are reviewed. The authors then propose a nonparametric statistical approach to the data analysis of multiple putative causal variables for late-life depression, the Classification and Regression Tree Analysis. This analysis presents a useful approach to modeling nonlinear relationships and interactions among variables measuring physical and mental health, as well as magnetic resonance imaging and cognitive measures in depressed elderly. This method uncovers the existing interactions among multiple predictor variables, and provide thresholds for each variable, at which its predictive power becomes statistically significant. It presents a “hierarchy” of the predictors in a form of a decision tree by finding the best combination of predictors of an outcome.

The authors present two models based on demographic variables, measures of vascular and nonvascular medical burden, neuroimaging indices, the Mini-Mental State Examination score, and neuropsychological test scores of 81 elderly depressed subjects.

Cognitive tests of verbal fluency and executive function are identified as the best predictors of depression, followed by the frontal lobe volume and Mini-Mental State Examination. The authors observed that an interaction between frontal lobe volume, total lesion volume, and medical burden was predictive of depression.

Attention-deficit/hyperactivity disorder (ADHD) is a common neuropsychiatric disorder that affects many domains of life. Studies have shown that adequate treatment of ADHD can affect the course of the disorder in a fundamental manner. While nonpharmacologic treatments such as education and various psycho-social interventions are used in the management of ADHD, pharmacotherapy is the mainstay of treatment for this disorder. Psychostimulants are the only group of agents that have been approved for the ADHD indication and are considered to be first-line treatment for the disorder. Methylphenidate, amphetamines, andpemoline are the most commonly used agents in this group. The stimulants have been successfully used for many years and their efficacy has been confirmed by a large number of clinical studies. Recent pharmacological advances have been made with longer-acting stimulants, new isomers, and more advanced drug delivery systems that enable more convenient dosing schedules with drug effects lasting throughout the day. Other nonstimulant medications have been shown to have anti-ADHD activity as well, although more research is needed on the efficacy and utility of these treatments. Antihypertensive medications and antidepressants, such as tricyclics and bupropion, have been studied and may have applications in the treatment of specific subgroups of patients with comorbid conditions or for patients who do not respond to stimulant treatment.

Treatment resistance is reported in up to 40% of older patients with major depression. Before labeling an episode of depression as treatment resistant, it is important to ensure that the diagnosis is correct and that the patient has received and adhered to an adequate dose of treatment for an appropriate length of time. It is also important to assess the patient for comorbid physical and psychiatric conditions that can contribute to treatment resistance. In patients who do not experience remission of symptoms with an adequate trial of medication, the following options can be considered: augmenting the antidepressant with a drug that is not primarily an antidepressant, adding a second antidepressant to the first, switching to a different antidepressant medication, or switching to electroconvulsive therapy. This paper reviews the concept of treatment-resistant depression and discusses its assessment and management in the elderly. The author concludes that when a systematic stepped-care approach to treatment is followed, most older patients with major depression will experience remission of symptoms.

Historically, drugs that increase central cholinergic transmission have primarily been investigated for relieving cognitive symptoms in mild-to-moderate Alzheimer's disease. These efforts have led to the somewhat unexpected findings that cholinergic therapy has a beneficial effect on selected neuropsychiatric symptoms in AD across disease stages. In Parkinson's disease with dementia and dementia with Lewy bodies, cholinergic deficits are more severe than in AD, and there is emerging evidence that cholinesterase inhibitors are efficacious in treating core symptoms of attentional disturbance and psychosis. Recent data also suggest a rational basis for cholinergic therapy in vascular dementia. The cognitive and neuropsychiatric effects of cholinergic therapy observed in AD and other dementias form the crux of an integrative model of cholinergic therapeutic efficacy that encompasses the diverse central nervous system actions of acetylcholine and its complementary interactions with central monoamine transmitters. This heuristic framework highlights the broader therapeutic potential of cholinergic therapy for symptom-based indications in other neuropsychiatric disorders.

Comorbidity of trichotillomania with different psychiatric disorders is common. However, until recently there have been no reports of trichotillomania in schizophrenia patients. In this article, the case of a female schizophrenia patient with trichotillomania is reported. Her schizophren was being treated with risperidone. Citalopram was later administered as an augmentation to risperidone. This combination therapy presented a partial response of trichotillo mania without exacerbating schizophrenia symptoms.