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No primeiro World DBT Summit, Ruben Vonderlin apresentou a TF-DBT, uma DBT focada no trauma para o transtorno de personalidade borderline que inclui a ameaça social, como humilhação, rejeição e abandono, no conceito de trauma. Comento a proposta, os primeiros resultados do ensaio clínico e o que ela pode mudar na clínica.
O podcast Introvertendo publicou, nesta sexta-feira (30), o episódio 317, intitulado Autismo e Perfeccionismo. A conversa aborda como o perfeccionismo aparece na vida de pessoas autistas, seus efeitos sobre a autoestima, a realização de atividades, a convivência social e o desenvolvimento de habilidades. Participam do episódio Bruno Frederico Müller, Izabella Pavetits, João Victor Ramos e […]
O Departamento de Saúde e Serviços Humanos dos Estados Unidos (HHS, na sigla em inglês) anunciou, nesta quinta-feira (28.out.2026), um investimento de US$ 35.763.912 em 68 novos financiamentos para pesquisas, desenvolvimento de tecnologias e capacitação voltados a pessoas com deficiência, incluindo autistas. Os recursos, referentes ao ano fiscal de 2026, serão distribuídos por meio do […]
Discover how one father's autistic son uses music to communicate, express himself, and teach a deeper lesson about acceptance and belonging.
The post When Inclusion Becomes Belonging appeared first on Autism Spectrum News.
A psicóloga Pâmela Gonçalves, de Rio Grande (RS), desenvolveu o “Guia prático para abordagens seguras e humanizadas”, que serve de base para uma formação voltada inicialmente a profissionais da segurança pública e privada e do trânsito. Segundo ela, o projeto já foi apresentado gratuitamente a agentes de trânsito e à Guarda Municipal da cidade. Mãe […]
Abstract Behavior analysis has a long history of using nonhuman animals in basic research, classroom teaching, and applied practice, yet discipline-specific guidance for competent and ethical animal work remains limited. This paper reviews historical and contemporary trends in animal use within behavior analysis, including the decline of traditional animal laboratories, growing interest in invertebrate models, and expansion of behavior-analytic work into homes, shelters, zoos, and other applied settings. We argue that although behavioral principles are broadly applicable, competence in animal work requires more than general behavior-analytic training. In the absence of integrated guidance for developing and evaluating that competence, behavior analysts may face serious risks to animal welfare, human safety, the relationship between behavior analysis and the broader animal behavior community, and the field’s ability to advance a comprehensive science of behavior. In response, we propose a set of six minimum standards for animal-focused work in behavior analysis: (1) interdisciplinary knowledge of animal behavior, (2) species-specific knowledge, (3) skill fluency, (4) ethical conduct, (5) safe practices, and (6) appropriate mentorship strategies. A practical self-assessment tool accompanies these standards to help professionals determine their scope of competence. We hope these standards initiate a needed conversation about what is required to work with animals competently in behavior analysis and support the development of guidelines as structured, explicit, and carefully maintained as those established for human-focused work.
Abstract Burnout, compassion fatigue, secondary traumatic stress, and attrition represent significant and growing challenges in applied behavior analysis. These challenges all collectively impact practitioner well-being, yet strategies to support such well-being initiatives have received limited systematic attention in the behavior-analytic literature. In this discussion, I posit that the concept of self-compassion represents an important gap in supporting practitioner well-being. Self-compassion, as defined by Neff, includes three interrelated components: (1) responding to personal suffering with kindness rather than self-judgment, (2) recognizing struggle as part of the shared human condition, and (3) maintaining balanced awareness of difficult emotions. Across health, education, and psychology fields, self-compassion has demonstrated strong empirical support as a protective factor against burnout, emotional exhaustion, anxiety, experiential avoidance, and compassion fatigue. Drawing on Neff’s model and translating its components into behavior-analytic terms grounded in radical behaviorism, relational frame theory, and acceptance and commitment training, in this article, I describe a conceptual foundation for self-compassion within applied behavior analysis, propose a four-component training framework, and offer directions for future research.
O livro Obesidade no autismo: Seletividade alimentar, estilo de vida e cuidado integral para mais saúde, bem-estar e inclusão, de Luiz Gustavo de Quadros, é publicado nesta quarta-feira (28) pela editora Literare Books International. A obra discute fatores associados à obesidade em pessoas autistas com aspectos biológicos, metabólicos, comportamentais e ambientais, com foco nas possibilidades […]
O barbeiro Renan Santana desenvolveu uma forma de atendimento voltada a crianças autistas e outras que enfrentam dificuldades para cortar o cabelo. Com 20 anos de profissão, ele adapta o procedimento às necessidades de cada cliente, considerando fatores como sensibilidade ao barulho da máquina, ao toque na cabeça e ao contato com os fios. Em […]
Tips from the perspective of someone with autism on the importance of family and friends. Family and friends are important to someone living with autism. Here are the reasons why: Tip 1: Happiness Having a supportive family and friends makes your life happy, bountiful, and full. Tip 2: Support A supportive family is going to […]
The post Why Family and Friends Matter: Simple Tips for Understanding Autism Support appeared first on Autism Parenting Magazine.
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A síndrome de Savant é caracterizada pela presença de habilidades extraordinárias em áreas específicas, como música, artes visuais, cálculo ou memória, que contrastam, em determinados casos, com dificuldades em outras dimensões do funcionamento cotidiano. Embora seja frequentemente associada ao transtorno do espectro autista (TEA), não se restringe a essa condição. Tampouco deve ser confundida com […]
Halloween is coming up this Saturday and a season filled with imagination, colorful decorations, costumes, and opportunities to make beautiful memories with the people we love. But for autistic and neurodivergent individuals and their families, this holiday can bring challenges that others might not immediately recognize. The beauty of Halloween should never depend on how someone communicates, responds to sensory experiences, or participates in traditional celebrations. In 2026, we have...
Abstract Large language models (LLMs) are a type of AI (artificial intelligence). They are large-scale, sophisticated neural networks trained on vast amounts of text data to mimic human language. The increased adoption of LLMs warrants an analysis of their substantial, rapidly growing environmental footprint. This paper is structured in three broad sections. First, we offer a behavior-analytic lens into the rapidly increasing adoption of this technology. The analysis is provided at the individual, organizational, and cultural levels, with a discussion of efficiency gains being absorbed into productivity contingencies. Second, we provide a cradle-to-grave overview of the environmental impact of this technology: cradle (building the infrastructure), life (training and running the model), grave (disposal of electronic waste), and the potential infrastructure lock-in costs. The analysis includes a discussion of embedded carbon, an area often overlooked in discussions of environmental impacts. To close, we provide suggestions for behavior analysts at the individual level to the cultural level, with an emphasis on where leverage is most possible.
Um vídeo que mostra a interação entre Yoda, um cão de serviço, e seu tutor autista, o advogado John Polanski, de Florianópolis, ultrapassou 2,3 milhões de visualizações nas redes sociais até sexta-feira (23). As imagens foram registradas durante a colação de grau em Direito de John, em agosto de 2024, quando o cachorro também usava […]
Abstract Interventions seeking to reduce impulsive choice in nonhuman animals (i.e., preference for smaller sooner over larger later rewards [SSR vs. LLR]) often require long training durations. However, prior studies illustrate how a brief course of Pavlovian training can reduce rodents' impulsive choice by attracting them to the LLR and by providing an appetitive Pavlovian conditioned stimulus (CS) contingent on LLR choices. In these studies, the comparison group completed unpaired (UN) training where the CS and US never co‐occurred. The present study added a truly random control (TRC) group to evaluate whether UN training made the CS aversive, exaggerating the effect of Pavlovian training on self‐control. Following Pavlovian (PAV), UN, or TRC training, a lever CS was inserted into the chamber during half the delay to the LLR. PAV rats were significantly more attracted to the lever during training and chose the LLR significantly more often than TRC or UN rats. Significant sex differences were detected, with self‐control influencing the effects of Pavlovian training predominantly observed in male rats. Because sex differences in self‐control outcomes were not observed in the only other study to examine the effects of presenting an appetitive CS after LLR choices, possible reasons for this interexperiment difference are discussed.
Abstract The peak interval procedure, in which subjects learn to cluster their anticipatory responses around delays to biologically critical outcomes, provides benchmarks for interval timing models. These include (a) the bistable response regime demarcated by an abrupt increase (start times) and a decrease (stop times) in response rates around the target time in individual trials; (b) bell‐curve‐shaped average response curves that superpose on a relative time scale; (c) lower coefficient of variation of stop times than start times; and (d) specific correlational patterns between these parameters, their mean, and difference. This article presents a multilayer computational model that predicts these key markers of timing behavior in the peak interval procedure. The first layer constitutes the clock stage, comprising uncoupled diffusion processes approaching a single boundary. The first crossing of the threshold for each diffusion process is broadcast to the downstream motor layer. The motor layer integrates the broadcast signals with a leak term scaled by the drift rate to avoid saturation and reset of motor system activity. The model is extended to account for real‐time temporal discrimination. This family of models departs from the single‐clock approach to modeling and meets the core empirical benchmarks of timing behavior.