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Major depression, currently the world's primary cause of disability, leads to profound personal suffering and increased risk of suicide. Unfortunately, the success of antidepressant treatment varies amongst individuals and can take weeks to months in those who respond. Electroconvulsive therapy (ECT), generally prescribed for the most severely depressed and when standard treatments fail, produces a more rapid response and remains the most effective intervention for severe depression. Exploring the neurobiological effects of ECT is thus an ideal approach to better understand the mechanisms of successful therapeutic response. Though several recent neuroimaging studies show structural and functional changes associated with ECT, not all brain changes associate with clinical outcome. Larger studies that can address individual differences in clinical and treatment parameters may better target biological factors relating to or predictive of ECT-related therapeutic response. We have thus formed the Global ECT-MRI Research Collaboration (GEMRIC) that aims to combine longitudinal neuroimaging as well as clinical, behavioral and other physiological data across multiple independent sites. Here, we summarize the ECT sample characteristics from currently participating sites, and the common data-repository and standardized image analysis pipeline developed for this initiative. This includes data harmonization across sites and MRI platforms, and a method for obtaining unbiased estimates of structural change based on longitudinal measurements with serial MRI scans. The optimized analysis pipeline, together with the large and heterogeneous combined GEMRIC dataset, will provide new opportunities to elucidate the mechanisms of ECT response and the factors mediating and predictive of clinical outcomes, which may ultimately lead to more effective personalized treatment approaches.

Psychotic experiences are prevalent across a wide variety of psychiatric, neurological, and medical conditions. Yet current assessments are often designed for one disorder, or are limited in their examination of phenomenological features; this has hindered transdiagnostic research. This article describes an examination of the validity and reliability of the English version of a new assessment, the Questionnaire for Psychotic Experiences (QPE). This study aimed to use the QPE to examine hallucinations and delusions across a number of different conditions, and to ensure that the QPE had acceptable psychometric properties. An International Consortium on Hallucination Research working group, along with consumer groups, developed the 50-item QPE to assess the presence, severity, and phenomenology of hallucinations and delusions. Participants in the study who reported psychotic experiences included those with schizophrenia, schizoaffective disorder, bipolar affective disorder, and major depressive disorder, and those without a need for care (ie, nonclinical participants). There were 173 participants in total. Convergent and discriminant validity were assessed. Reliability was examined in terms of stability, equivalence, and internal consistency. The data confirmed that the QPE had good psychometric properties and could be put forward as an accepted measure of the transdiagnostic evaluation of psychotic experiences. Further validation is recommended with neurological and medical populations. Given its validity and reliability, comprehensive evaluation of psychotic phenomena, and relatively quick administration time, we propose that the QPE is a valuable instrument for both clinical and research settings. [ABSTRACT FROM AUTHOR]

Introduction: Rule induction tests such as the Wisconsin Card Sorting Test require executive control processes, but also the learning and memorization of simple stimulus–response rules. In this study, we examined the contribution of diminished learning and memorization of simple rules to complex rule induction test performance in patients with amnestic mild cognitive impairment (aMCI) or Alzheimer’s dementia (AD).Method: Twenty-six aMCI patients, 39 AD patients, and 32 control participants were included. A task was used in which the memory load and the complexity of the rules were independently manipulated. This task consisted of three conditions: a simple two-rule learning condition (Condition 1), a simple four-rule learning condition (inducing an increase in memory load, Condition 2), and a complex biconditional four-rule learning condition—inducing an increase in complexity and, hence, executive control load (Condition 3).Results: Performance of AD patients declined disproportionately when the number of simple rules that had to be memorized increased (from Condition 1 to 2). An additional increment in complexity (from Condition 2 to 3) did not, however, disproportionately affect performance of the patients. Performance of the aMCI patients did not differ from that of the control participants. In the patient group, correlation analysis showed that memory performance correlated with Condition 1 performance, whereas executive task performance correlated with Condition 2 performance.Conclusions: These results indicate that the reduced learning and memorization of underlying task rules explains a significant part of the diminished complex rule induction performance commonly reported in AD, although results from the correlation analysis suggest involvement of executive control functions as well. Taken together, these findings suggest that care is needed when interpreting rule induction task performance in terms of executive function deficits in these patients. [ABSTRACT FROM PUBLISHER]

Cerebral microinfarcts (CMIs) are a common finding in neuropathological studies of aging and dementia. Recently, it has become possible to detect CMIs in vivo. We studied CMI occurrence in 29 patients with mild cognitive impairment or early Alzheimer's disease (AD) and 22 non-demented individuals on 7Tesla MRI. CMI occurrence in patients (55%) and controls (45%) was not significantly different. In patients, CMI number tended to be related to microbleed number (p = 0.07). This first in vivo study of CMIs in early AD does not confirm findings from autopsy studies. Further studies are needed to clarify the role of CMIs in AD. [ABSTRACT FROM AUTHOR]

Background: Cerebral microbleeds are a manifestation of small vessel disease and are common in patients with Alzheimer's disease (AD). However, their clinical significance in this condition is uncertain. We hypothesized that microbleeds contribute to disturbances of the cerebral network in AD and as such may affect cognition. Objective: The goal of this study was to examine the relationship between microbleeds and brain networks in patients with amnestic mild cognitive impairment (aMCI) or early AD. Methods: Sixty-seven patients (77.9 ± 7.5 years) with aMCI (n = 29) or early AD (n = 38) underwent cognitive testing and 3Tesla MRI. Microbleeds were rated visually. Diffusion tensor imaging and graph theoretical analysis were used to reconstruct brain networks and to quantify network efficiency for each patient. Network measures were compared between patients without and with ≥⃒1 microbleeds and between patients without or with ≥⃒3 microbleeds. In secondary analyses, cognitive functioning was compared between groups. Analyses were adjusted for age and gender, and additionally for other markers of small vessel disease and atrophy. Results: Network measures did not differ between patients with ≥⃒1 microbleed (n = 26) and patients without microbleeds (n = 41). However, patients with ≥⃒3 microbleeds (n = 11) showed significant white matter disruptions, longer path length, and less global efficiency than patients without microbleeds, independent of other markers of small vessel disease and atrophy. Cognitive functioning did not differ between patients without microbleeds and patients with ≥⃒1 or ≥⃒3 microbleeds. Conclusion: Multiple microbleeds are related to structural network disruption in patients with early AD, but their direct impact on cognitive functioning appears to be limited. [ABSTRACT FROM AUTHOR]

Background: Physical exercise may be valuable for patients with schizophrenia spectrum disorders as it may have beneficial effect on clinical symptoms, quality of life and cognition., Methods: A systematic search was performed using PubMed (Medline), Embase, PsychInfo, and Cochrane Database of Systematic Reviews. Controlled and uncontrolled studies investigating the effect of any type of physical exercise interventions in schizophrenia spectrum disorders were included. Outcome measures were clinical symptoms, quality of life, global functioning, depression or cognition. Meta-analyses were performed using Comprehensive Meta-Analysis software. A random effects model was used to compute overall weighted effect sizes in Hedges' g., Results: Twenty-nine studies were included, examining 1109 patients. Exercise was superior to control conditions in improving total symptom severity (k = 14, n = 719: Hedges' g = .39, P < .001), positive (k = 15, n = 715: Hedges' g = .32, P < .01), negative (k = 18, n = 854: Hedges' g = .49, P < .001), and general (k = 10, n = 475: Hedges' g = .27, P < .05) symptoms, quality of life (k = 11, n = 770: Hedges' g = .55, P < .001), global functioning (k = 5, n = 342: Hedges' g = .32, P < .01), and depressive symptoms (k = 7, n = 337: Hedges' g = .71, P < .001). Yoga, specifically, improved the cognitive subdomain long-term memory (k = 2, n = 184: Hedges' g = .32, P < .05), while exercise in general or in any other form had no effect on cognition., Conclusion: Physical exercise is a robust add-on treatment for improving clinical symptoms, quality of life, global functioning, and depressive symptoms in patients with schizophrenia. The effect on cognition is not demonstrated, but may be present for yoga., (© The Author 2015. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com.)