Enhancing theory of mind in behavioural variant frontotemporal dementia with transcranial direct current stimulation

Behavioural variant frontotemporal dementia (bvFTD) is a form of frontotemporal degeneration characterized by early changes in personality, emotional blunting, and/or loss of empathy. Recent research has highlighted that these features may be at least partially explained by impairments in the theory of mind (ToM; i.e., the ability to understand and predict other people’s behaviour by attributing independent mental states to them). The aim of this randomized, double-blind, placebo-controlled study was to test the hypothesis that transcranial direct current stimulation (tDCS) over the medial frontal cortex (MFC) selectively enhances communicative intention processing, a specific ToM ability. Using a single-session online design, we administered a ToM task that measures the ability to represent other people’s private and communicative intentions during active or sham tDCS to 16 bvFTD patients. To assess the impact of dementia on performance on the ToM task, we included 16 age-matched healthy volunteers who were asked to perform the entire experimental ToM task. BvFTD is characterized by an impairment in the comprehension of both communicative and private intentions relative to a healthy control group and by a disproportional impairment in communicative intention compared with private intention processing. Significant and selective accuracy improvement in the comprehension of communicative intentions after active stimulation was observed in patients with bvFTD. This is the first study that analyses ToM ability in patients with bvFTD using tDCS stimulation. Our findings could potentially contribute to the development of an effective, noninvasive brain stimulation treatment of ToM impairments in patients with bvFTD.     

Psychological health in long-term cancer survivorship: an Italian survey on depression and anxiety

Since long-term survivorship is now a reality for an increasingly number of people with a history of cancer, understanding their psychological health can inform health care policy as well as help supporting individual patients. This study was aimed to describe depression and anxiety (i.e. two of the most common psychological symptoms reported in oncology) in a sample of Italian long-term cancer survivors (LTCSs) defined as people who have been free from cancer and cancer treatments for at least five years. Four hundred and four Italian adult LTCSs completed a battery of questionnaires including the Zung Self-rating Depression Scale and the State Anxiety sub-scale of the State-Trait Anxiety Inventory respectively for depression and anxiety assessment. 16.5% of the sample displayed mild depression, 11.1% moderate depression, and 7.1% severe depression. depression was negatively associated with education (p = .017), perceived social support as provided by the family (p = .028), and perceived social support provided by friends (p = .008), and it was positively associated with occupational status (p = .023), presence of health issues (p = .010), and anxiety (p < .001). 8.7 and 15.8% of the sample were respectively possible and probable cases of anxiety. Anxiety was negatively associated with occupational status (p = .038) and it was positively associated with depression (p < .001). These data support ongoing assessment and monitoring of depression and anxiety in LTCSs, and stimulate the development and testing of psychological interventions for such individuals. In addition, they encourage further study on the psychological health of this specific population.     

Connected: Recommendations and Techniques in Order to Employ Internet Tools for the Enhancement of Online Therapeutic Relationships. Experiences from Italy

The article explores the different types of therapeutic relationship that can evolve both on- and offline, thanks to the use of tools, such as software and applications, which enable therapists and patients contact outside of the traditional setting. Given the premise that it is practically impossible today to maintain a relationship without the use of internet and telephones, it becomes necessary to question the ways in which the online space can become a useful extension of the therapeutic setting. The authors, starting from a consideration regarding the specificity of the online therapeutic relationship, analyze the best ways to use text and email messaging with patients. Furthermore, specific interactions via group chats are presented, for example, to coordinate a therapeutic team involving several professionals. Further, video chat settings are discussed through a clinical case presentation. Lastly, the therapist’s management of social networks is debated, underscoring the importance for the therapists that his or her online identity be consistent with the offline image which patients are introduced to in the traditional setting of the therapy room.     

Labels as features (not names) for infant categorization: a neurocomputational approach

A substantial body of experimental evidence has demonstrated that labels have an impact on infant categorization processes. Yet little is known regarding the nature of the mechanisms by which this effect is achieved. We distinguish between two competing accounts: supervised name-based categorization and unsupervised feature-based categorization. We describe a neurocomputational model of infant visual categorization, based on self-organizing maps, that implements the unsupervised feature-based approach. The model successfully reproduces experiments demonstrating the impact of labeling on infant visual categorization reported in Plunkett, Hu, and Cohen (2008) . It mimics infant behavior in both the familiarization and testing phases of the procedure, using a training regime that involves only single presentations of each stimulus and using just 24 participant networks per experiment. The model predicts that the observed behavior in infants is due to a transient form of learning that might lead to the emergence of hierarchically organized categorical structure and that the impact of labels on categorization is influenced by the perceived similarity and the sequence in which the objects are presented. The results suggest that early in development, say before 12 months old, labels need not act as invitations to form categories nor highlight the commonalities between objects, but they may play a more mundane but nevertheless powerful role as additional features that are processed in the same fashion as other features that characterize objects and object categories.     

Examining Temporal Cognition in Preschoolers With Attention Deficit Hyperactivity Disorder: Insights From Parent–Child Interactions

Journal of Child and Family Studies - Increasing evidence supports the existence of time-related impairments in school-aged children and adults with Attention-Deficit/Hyperactivity Disorder (ADHD),...     

What happens to our representation of identity as familiar faces age? Evidence from priming and identity aftereffects

Matching identity in images of unfamiliar faces is error prone, but we can easily recognize highly variable images of familiar faces – even images taken decades apart. Recent theoretical development based on computational modelling can account for how we recognize extremely variable instances of the same identity. We provide complementary behavioural data by examining older adults’ representation of older celebrities who were also famous when young. In Experiment 1, participants completed a long-lag repetition priming task in which primes and test stimuli were the same age or different ages. In Experiment 2, participants completed an identity after effects task in which the adapting stimulus was an older or young photograph of one celebrity and the test stimulus was a morph between the adapting identity and a different celebrity; the adapting stimulus was the same age as the test stimulus on some trials (e.g., both old) or a different age (e.g., adapter young, test stimulus old). The magnitude of priming and identity after effects were not influenced by whether the prime and adapting stimulus were the same age or different age as the test face. Collectively, our findings suggest that humans have one common mental representation for a familiar face (e.g., Paul McCartney) that incorporates visual changes across decades, rather than multiple age-specific representations. These findings make novel predictions for state-of-the-art algorithms (e.g., Deep Convolutional Neural Networks).