Effectiveness of integrated cognitive remediartion therapy for schizophrenia outpatients: Early versus long-term course of illness – results from an international RCT

Background Nowadays there is extensive evidence available showing the efficacy of cognitive remediation therapies. Integrative approaches seem superior regarding the maintenance of proximal outcome at follow-up as well as generalization to other areas of functioning. To date, only limited evidence about the efficacy of CRT is available concerning elder schizophrenia patients. The Integrated Neurocognitive Therapy (INT) represents a new developed cognitive remediation approach. It is a manualized group therapy approach targeting all 11 NIMH-MATRICS dimensions within one therapy concept. In this study we compared the effects of INT on an early course group (duration of disease<5 years) to a long-term group of schizophrenia outpatients (duration of disease>15 years). Methods An international multicenter study carried out in Germany, Switzerland and Austria with a total of 90 outpatients diagnosed with Schizophrenia (DSM-IV-TR) were randomly assigned either to an INT-Therapy or to Treatment-As-Usual (TAU). 50 of the 90 Patients were an Early-Course (EC) group, suffering from schizophrenia for less than 5 years (Mean age=29 years, Mean duration of illness=3.3 years). The other 40 were a Long-term Course (LC) group, suffering from schizophrenia longer than 15 years (Mean age= 45 years, Mean duration of illness=22 years). Treatment comprised of 15 biweekly sessions. An extensive assessment battery was conducted before and after treatment and at follow up (1 year). Multivariate General Linear Models (GLM) (duration of illness x treatment x time) examined our hypothesis, if an EC group of schizophrenia outpatients differ in proximal and distal outcome from a LC group. Results Irrespective of the duration of illness, both groups (EC & LC) were able to benefit from the INT. INT was superior compared to TAU in most of the assessed domains. Dropout rate of EC group was much higher (21.4%) than LC group (8%) during therapy phase. However, interaction effects show that the LC group revealed significantly higher effects in the neurocognitive domains of speed of processing (F>3.6) and vigilance (F>2.4). In social cognition the EC group showed significantly higher effects in social schema (F>2.5) and social attribution (blame; F>6.0) compared to the LC group. Regarding more distal outcome, patients treated with INT obtained reduced general symptoms unaffected by the duration of illness during therapy phase and at follow-up (F>4.3). Discussion Results suggest that INT is a valid goal-oriented treatment to improve cognitive functions in schizophrenia outpatients. Irrespective of the duration of illness significant treatment, effects were evident. Against common expectations, long-term, more chronic patients showed higher effects in basal cognitive functions compared to younger patients and patients without any active therapy (TAU). Consequently, more integrated therapy offers are also recommended for long-term course schizophrenia patients.

Factors affecting cognitive outcome in early pediatric stroke

OBJECTIVE We examined cognitive performance in children after stroke to study the influence of age at stroke, seizures, lesion characteristics, neurologic impairment (NI), and functional outcome on cognitive outcome. METHODS This was a prospectively designed study conducted in 99 children who sustained an arterial ischemic stroke (AIS) between the age of 1 month and 16 years. All children underwent cognitive and neurologic follow-up examination sessions 2 years after the insult. Cognitive development was assessed with age-appropriate instruments. RESULTS Although mean cognitive performance was in the lower normative range, we found poorer results in subtests measuring visuoconstructive skills, short-term memory, and processing speed. Risk factors for negative cognitive outcome were young age at stroke, seizures, combined lesion location (cortical and subcortical), as well as marked NI. CONCLUSIONS We recommend that all children with a history of AIS undergo regularly scheduled neuropsychological assessment to ensure implementation of appropriate interventions and environmental adjustments as early as possible.

Functional lateralization of the anterior insula during feedback processing

Effective adaptive behavior rests on an appropriate understanding of how much responsibility we have over outcomes in the environment. This attribution of agency to ourselves or to an external event influences our behavioral and affective response to the outcomes. Despite its special importance to understanding human motivation and affect, the neural mechanisms involved in self-attributed rewards and punishments remain unclear. Previous evidence implicates the anterior insula (AI) in evaluating the consequences of our own actions. However, it is unclear if the AI has a general role in feedback evaluation (positive and negative) or plays a specific role during error processing. Using functional magnetic resonance imaging and a motion prediction task, we investigate neural responses to self- and externally attributed monetary gains and losses. We found that attribution effects vary according to the valence of feedback: significant valence × attribution interactions in the right AI, the anterior cingulate cortex (ACC), the midbrain, and the right ventral putamen. Self-attributed losses were associated with increased activity in the midbrain, the ACC and the right AI, and negative BOLD response in the ventral putamen. However, higher BOLD activity to self-attributed feedback (losses and gains) was observed in the left AI, the thalamus, and the cerebellar vermis. These results suggest a functional lateralization of the AI. The right AI, together with the midbrain and the ACC, is mainly involved in processing the salience of the outcome, whereas the left is part of a cerebello-thalamic-cortical pathway involved in cognitive control processes important for subsequent behavioral adaptations.

Implicit threat, self-regulatory resources, and cognitive performance

The color red has been considered to indicate threat in achievement contexts. Recent studies have used brief confrontations with red — either as the color or as the word red — to prime for implicit threat, and have found a related impairment of cognitive performance. In another line of research, it has been shown that initial self-regulatory efforts cause diminished investment of self-regulatory resources afterwards, leading to a relative shift from a controlled to an automatic mode of information processing. We assume that activation of implicit threat via the color or the word red impairs cognitive performance more strongly during automatic compared to controlled processing of information. To test this hypothesis, we manipulated undergraduates’ (n = 78) momentary processing mode (automatic vs. controlled) by an initial task that required either high or low self-regulatory effort. Afterwards, participants were briefly confronted with red or gray stimuli and were then asked to complete a standardized intelligence measure. As expected, confrontation with red, as opposed to gray, impaired intellectual performance when participants were in an automatic processing mode. In contrast, no color effect emerged when participants were in a relatively controlled processing mode. In a second study, we replicated this finding in a sample of secondary school students (n = 130), using the black-printed word red or gray to experimentally manipulate implicit threat. Among others, the present findings may help to explain occasional difficulties in replicating findings of priming research.

Cognitive dysfunction in children with brain tumors at diagnosis

Background: Survivors of brain tumors have a high risk for a wide range of cognitive problems. These dysfunctions are caused by the lesion itself and its surgical removal, as well as subsequent treatments (chemo- and/or radiation therapy). Multiple recent studies have indicated that children with brain tumors (BT) might already exhibit cognitive problems at diagnosis, i.e., before the start of any medical treatment. The aim of the present study was to investigate the baseline neuropsychological profile in children with BT compared to children with an oncological diagnosis not involving the central nervous system (CNS). Methods: Twenty children with BT and 27 children with an oncological disease without involvement of the CNS (age range: 6.1 to 16.9 years) were evaluated with an extensive battery of neuropsychological tests tailored to the patient’s age. Furthermore, the child and his/her parent(s) completed self-report questionnaires about emotional functioning and quality of life. In both groups, tests were administered before any therapeutic intervention such as surgery, chemotherapy or irradiation. Groups were comparable with regard to age, gender and socioeconomic status. Results: Compared to the control group, patients with BTs performed significantly worse in tests of working memory, verbal memory and attention (effect sizes between 0.28 and 0.47). In contrast, the areas of perceptual reasoning, processing speed and verbal comprehension were preserved at the time of measurement. Conclusion: Our results highlight the need for cognitive interventions early in the treatment process in order to minimize or prevent academic difficulties as patients return to school.

Granular computing as a tool of human data interaction - a cognitive cities use case

The article proposes granular computing as a theoretical, formal and methodological basis for the newly emerging research field of human–data interaction (HDI). We argue that the ability to represent and reason with information granules is a prerequisite for data legibility. As such, it allows for extending the research agenda of HDI to encompass the topic of collective intelligence amplification, which is seen as an opportunity of today’s increasingly pervasive computing environments. As an example of collective intelligence amplification in HDI, we introduce a collaborative urban planning use case in a cognitive city environment and show how an iterative process of user input and human-oriented automated data processing can support collective decision making. As a basis for automated human-oriented data processing, we use the spatial granular calculus of granular geometry.

Facilitating Emotional Processing: An Experimental Induction of Psychotherapeutically Relevant Affective States

Psychotherapy research has shown that cognitive-affective meaning making is related to beneficial therapy outcomes. This study explores the underlying micro-processes by inducing specific cognitive-affective states and studying their immediate effects on emotional activation, the resolution of interpersonal grievances, and factors related to therapeutic progress, e.g., mastery experiences, clarification of meaning. Participants suffering from interpersonal grievances were randomly assigned to two conditions. A sentence completion task was employed to induce either the expression of emotional distress or cognitive-affective meaning making. Expressive writing was used to deepen processing. Findings of those participants adhering to the induction procedure (n = 85) showed no differences between conditions at baseline. During writing, participants in both conditions were equally emotionally activated. Directly after the writing task, participants in the meaning making condition (n = 50) reported less unresolved interpersonal grievances, and more mastery experiences, but, e.g., not more clarification, compared to those in the emotional expression condition (n = 35). Results suggest that engagement in specific states that promote meaning making of emotional experience facilitates emotional processing and is related to therapeutic benefit.

The impact of absolute importance and processing overlaps on prospective memory performance

Prospective memory is the ability to remember an intention at an appropriate moment in the future. Prospective memory tasks can be more or less important. Previously, importance was manipulated by emphasizing the importance of the prospective memory task relative to the ongoing task it was embedded in. This resulted in better prospective memory performance but also ongoing task costs. In the present study, we simply instructed one group of participants that the prospective memory task was important (i.e., absolute importance instruction) and compared them to a group with relative importance instructions and a control group. The results showed that absolute importance lead to an increase in prospective memory performance without enhancing ongoing task costs, whereas relative importance resulted in both increased prospective memory performance and ongoing task costs. Thus, prospective memory can be enhanced without ongoing task costs, which is particularly crucial for safety-work contexts.

Differential effectiveness of integrated cognitive remediation therapy for schizophrenbia outpatients: The impact oft he duration of illness

Background Nowadays there is extensive evidence available showing the efficacy of cognitive remediation (CR). To date, only limited evidence is available about the impact of the duration of illness on CR effects. The Integrated Neurocognitive Therapy (INT) represents a new developed CR approach. It is a manualized group therapy targeting all 11 NIMH-MATRICS domains. Methods In an international multicenter study, 166 schizophrenia outpatients (DSM-IV-TR) were randomly assigned either to INT or to Treatment-As-Usual (TAU). 60 patients were defined as Early Course group (EC) characterized by less than 5 years of illness, 40 patients were in the Long-Term group (LT) characterized by more than 15 years of illness, and 76 patients were in the Medium-Long-Term group (MLT) characterized by an illness of 5-15 years. Treatment comprised of 15 biweekly sessions. Assessments were conducted before and after treatment and at follow up (1 year). Multivariate General Linear Models (GLM) examined our hypothesis, whether EC, LT, and MLT groups differ under INT and TAU from each other in outcome. Results First of all, the attendance rate of 65% was significantly lower and the drop out rate of 18.5% during therapy was higher in the EC group compared to the other groups. Interaction effects regarding proximal outcome showed that the duration of illness has a strong impact on neurocognitive functioning in speed of processing (F>2.4) and attention (F>2.8). But INT intervention compared to TAU only had a significant effect in more chronically ill patients of MLT and LT, but not in younger patients in EC. In social cognitive domains, only the EC group showed a significant change in attribution (hostility; F>2.5), LT and MLT groups did not. However, no differences between the 3 groups were evident in memory, problem solving, and emotion perception. Regarding more distal outcome, LT patients had more symptoms compared to EC (F>4.4). Finally, EC patients showed higher improvements in psychosocial functioning compared to LT and MLT (F=1.8). Conclusions Against common expectations, long-term, more chronically ill patients showed higher effects in basal cognitive functions compared to younger patients and patients without any active therapy (TAU). On the other hand, early-course patients had a greater potential to change in attribution, symptoms and psychosocial functioning. Consequently, more integrated therapy offers are also recommended for long-term course schizophrenia patients.

What do brain network interactions tell about cognitive processes? How to seek causality?

Optimal adjustment of brain networks allows the biased processing of information in response to the demand of environments and is therefore prerequisite for adaptive behaviour. It is widely shown that a biased state of networks is associated with a particular cognitive process. However, those associations were identified by backward categorization of trials and cannot provide a causal association with cognitive processes. This problem still remains a big obstacle to advance the state of our field in particular human cognitive neuroscience. In my talk, I will present two approaches to address the causal relationships between brain network interactions and behaviour. Firstly, we combined connectivity analysis of fMRI data and a machine leaning method to predict inter-individual differences of behaviour and responsiveness to environmental demands. The connectivity-based classification approach outperforms local activation-based classification analysis, suggesting that interactions in brain networks carry information of instantaneous cognitive processes. Secondly, we have recently established a brand new method combining transcranial alternating current stimulation (tACS), transcranial magnetic stimulation (TMS), and EEG. We use the method to measure signal transmission between brain areas while introducing extrinsic oscillatory brain activity and to study causal association between oscillatory activity and behaviour. We show that phase-matched oscillatory activity creates the phase-dependent modulation of signal transmission between brain areas, while phase-shifted oscillatory activity blunts the phase-dependent modulation. The results suggest that phase coherence between brain areas plays a cardinal role in signal transmission in the brain networks. In sum, I argue that causal approaches will provide more concreate backbones to cognitive neuroscience.

Cognitive Cities: An Application for Nairobi. Text Message Participation of Slum Inhabitants to Improve Sanitary Facilities

Population growth is always increasing, and thus the concept of smart and cognitive cities is becoming more important. Developed countries are aware of and working towards needed changes in city management. However, emerging countries require the optimization of their own city management. This chapter illustrates, based on a use case, how a city in an emerging country can quickly progress using the concept of smart and cognitive cities. Nairobi, the capital of Kenya, is chosen for the test case. More than half of the population of Nairobi lives in slums with poor sanitation, and many slum inhabitants often share a single toilet, so the proper functioning and reliable maintenance of toilets are crucial. For this purpose, an approach for processing text messages based on cognitive computing (using soft computing methods) is introduced. Slum inhabitants can inform the responsible center via text messages in cases when toilets are not functioning properly. Through cognitive computer systems, the responsible center can fix the problem in a quick and efficient way by sending repair workers to the area. Focusing on the slum of Kibera, an easy-to-handle approach for slum inhabitants is presented, which can make the city more efficient, sustainable and resilient (i.e., cognitive).

Acute and Chronic Altitude-Induced Cognitive Dysfunction in Children and Adolescents.

OBJECTIVE To assess whether exposure to high altitude induces cognitive dysfunction in young healthy European children and adolescents during acute, short-term exposure to an altitude of 3450 m and in an age-matched European population permanently living at this altitude. STUDY DESIGN We tested executive function (inhibition, shifting, and working memory), memory (verbal, short-term visuospatial, and verbal episodic memory), and speed processing ability in: (1) 48 healthy nonacclimatized European children and adolescents, 24 hours after arrival at high altitude and 3 months after return to low altitude; (2) 21 matched European subjects permanently living at high altitude; and (3) a matched control group tested twice at low altitude. RESULTS Short-term hypoxia significantly impaired all but 2 (visuospatial memory and processing speed) of the neuropsychological abilities that were tested. These impairments were even more severe in the children permanently living at high altitude. Three months after return to low altitude, the neuropsychological performances significantly improved and were comparable with those observed in the control group tested only at low altitude. CONCLUSIONS Acute short-term exposure to an altitude at which major tourist destinations are located induces marked executive and memory deficits in healthy children. These deficits are equally marked or more severe in children permanently living at high altitude and are expected to impair their learning abilities.

β2-microglobulin is a systemic pro-aging factor that impairs cognitive function and neurogenesis

Aging drives cognitive and regenerative impairments in the adult brain, increasing susceptibility to neurodegenerative disorders in healthy individuals. Experiments using heterochronic parabiosis, in which the circulatory systems of young and old animals are joined, indicate that circulating pro-aging factors in old blood drive aging phenotypes in the brain. Here we identify β2-microglobulin (B2M), a component of major histocompatibility complex class 1 (MHC I) molecules, as a circulating factor that negatively regulates cognitive and regenerative function in the adult hippocampus in an age-dependent manner. B2M is elevated in the blood of aging humans and mice, and it is increased within the hippocampus of aged mice and young heterochronic parabionts. Exogenous B2M injected systemically, or locally in the hippocampus, impairs hippocampal-dependent cognitive function and neurogenesis in young mice. The negative effects of B2M and heterochronic parabiosis are, in part, mitigated in the hippocampus of young transporter associated with antigen processing 1 (Tap1)-deficient mice with reduced cell surface expression of MHC I. The absence of endogenous B2M expression abrogates age-related cognitive decline and enhances neurogenesis in aged mice. Our data indicate that systemic B2M accumulation in aging blood promotes age-related cognitive dysfunction and impairs neurogenesis, in part via MHC I, suggesting that B2M may be targeted therapeutically in old age.

Location-aided distributed primary user identification in a cognitive radio scenario

We address a cognitive radio scenario, where a number of secondary users performs identification of which primary user, if any, is trans- mitting, in a distributed way and using limited location information. We propose two fully distributed algorithms: the first is a direct iden- tification scheme, and in the other a distributed sub-optimal detection based on a simplified Neyman-Pearson energy detector precedes the identification scheme. Both algorithms are studied analytically in a realistic transmission scenario, and the advantage obtained by detec- tion pre-processing is also verified via simulation. Finally, we give details of their fully distributed implementation via consensus aver- aging algorithms.