After participating in this activity, learners should be better able to:• Evaluate the double-dissociation approach to research in neuropsychology• Assess research aiming to provide evidence of double dissociation between neurobiological abnormalities and clinical presentations in psychiatry BACKGROUND: Psychiatric neuroscience research has grown exponentially, but it has not generated the desired breakthroughs in diagnosis, treatment development, or treatment selection. In many instances a given neurobiological abnormality is found in multiple clinical syndromes, and conversely, a clinical syndrome is associated with multiple neurobiological abnormalities. To the extent that neurobiology research is conducted to explain psychiatric manifestations, however, it should also provide insight into how certain brain abnormalities lead to one and not another specific clinical presentation-that is, "double-dissociation." We hypothesized that most psychiatric research studies are not designed to identify such double dissociations. We selected three leading psychiatric journals (American Journal of Psychiatry, JAMA Psychiatry, and Molecular Psychiatry) that are representative of high-quality psychiatry research and that also provided a sample size that was feasible to screen. We screened all original research manuscripts published over the course of one calendar year (2017) to identify those measuring brain function or biological parameters (which, collectively, we term neurobiological measures) in psychiatric disorders. We asked whether such biological research could provide evidence for a double dissociation of any kind. We found that only 7 of 403 articles published in three psychiatry journals, constituting approximately 2% of publications, examined the dissociation of neurobiological measures relating to two psychiatric disorders or symptom clusters. Of these 7 studies, 5 used imaging as research tool; 1 used genotype array; and 1 used polymerase chain reaction (PCR). Sample sizes of the 7 studies ranged from 100 to 2876. We report on a striking paucity of research aiming to provide evidence of double dissociation between neurobiological abnormalities and clinical presentations in psychiatry. We conclude that this paucity represents a missed opportunity for the field. Double-dissociation approaches have been used successfully in many studies in neurology and psychiatry in the past, and more widespread and explicit adoption of this design may improve the mechanistic insights obtained in psychiatry research.

Acupoint specificity is a central concept in traditional acupuncture theory but remains controversial in modern scientific studies. Methodological inconsistencies and a predominant reliance on single-dissociation approaches have contributed to this uncertainty. Therefore, we propose a double-dissociation research framework designed to rigorously test the functional specificity of two commonly used acupoints. This model applies double-dissociation methodology to provide stronger causal inferences regarding acupoint-specific effects, where dissociation refers to a pattern in which each acupoint preferentially modulates one physiological domain relative to another. The framework contrasts two theoretically distinct acupoints, PC6 and ST36, with respect to two physiological outcome domains that are hypothesized to be functionally dissociable. In particular, PC6 is predicted to selectively influence cardiovascular measures, such as blood pressure, whereas ST36 is predicted to selectively influence gastric function. Within this framework, a double dissociation would be demonstrated if PC6 produces greater changes in cardiovascular measures than in gastric indices, whereas ST36 produces greater changes in gastric indices than in cardiovascular measures. Evidence of such crossed selectivity would provide support for functional acupoint specificity. The proposed double-dissociation paradigm can be extended to other clinically relevant acupoints and acupoint combinations, and this proof-of-concept article is aimed at stimulating future empirical studies that formally test acupoint-specific effects using such designs. Demonstrating this crossed selectivity-where each acupoint predominantly affects only its predicted outcome-would provide stronger evidence for the functional specialization of acupuncture points. This methodological approach aims to align acupuncture research more closely with contemporary scientific standards. This model applies double-dissociation methodology to provide stronger causal inferences regarding acupoint-specific effects, where dissociation refers to a pattern in which each acupoint preferentially modulates one physiological domain relative to another. The framework contrasts two theoretically distinct acupoints, PC6 and ST36, with respect to two physiological outcome domains that are hypothesized to be functionally dissociable. In particular, PC6 is predicted to selectively influence cardiovascular measures, such as blood pressure, whereas ST36 is predicted to selectively influence gastric function. Demonstrating this crossed selectivity—where each acupoint predominantly affects only its predicted outcome—would provide stronger evidence for the functional specialization of acupuncture points. This methodological approach aims to align acupuncture research more closely with contemporary scientific standards. Keywords: Acupuncture, Acupoint specificity, Double dissociation, Experimental design status released display-pdf yes is-olf no is-manuscript no is-preprint no is-journal-matter no is-scanned no is-retracted no Received 2026 Jan 14; Revised 2026 Feb 19; Accepted 2026 Mar 3; Issue date 2026 Sep. 1. 13 Such comparisons can demonstrate that a given acupoint produces stronger changes than a control condition on a particular outcome measure; however, they cannot determine whether this apparent selectivity reflects a truly acupoint-specific physiological mechanism or simply the most prominent expression of a more generalized pattern of physiological activation or differential measurement sensitivity. Thus, single-acupoint-versus-sham designs provide important evidence of efficacy but are inherently limited for establishing functional acupoint specificity in the stricter, double-dissociation sense. Reanalyzing or extending such clinical trials within a double-dissociation framework that simultaneously assesses non-cardiac outcomes (for example, gastric or respiratory indices) would allow stronger inferences about whether PC6 and HT5-related effects are truly specialized for cardiac-autonomic regulation. Therefore, single-dissociation approaches cannot determine whether the action of a given acupoint is restricted to a single physiological domain or extends across multiple interconnected systems. 3. Implementing double-dissociation in acupuncture studies The double-dissociation approach provides a rigorous framework for drawing causal inferences about functional acupoint specialization. PC6 is considered specific for blood pressure regulation if it produces greater cardiovascular effects than a control point, and ST36 is considered specific for gastric motility if it produces greater Significance and considerations of double-dissociation in acupuncture studies The double-dissociation research model represents a significant methodological advance over standard acupuncture trial designs. First, it helps control for generalized somatosensory stimulation by comparing two theoretically distinct acupoints, rather than relying solely on a single acupoint–sham contrast. Second, by pairing two functionally distinct acupoints with two physiologically separable outcome domains, this design enables researchers to test whether stimulation at a specific acupoint exerts a selectively targeted effect on its presumed functional system. By modeling both cardiovascular and gastric responses within the same individuals, this approach allows shared autonomic reactivity to be handled as common variance while focusing inference on relative differences in how PC6 and ST36 modulate each domain. These considerations emphasize the importance of carefully selecting acupoints and outcome measures to ensure true functional separability and to minimize interpretive ambiguity before applying a double-dissociation framework in acupuncture research. 5. Conclusion The double-dissociation approach provides a powerful conceptual and experimental framework for testing acupoint specificity.

An AI teammate's design properties (personality, communication style, when it speaks) can shape a team's trust, coordination, and decisions. Studying this rigorously demands infrastructure no existing tool provides: reproducible configuration of an AI teammate embedded in instrumented, real-time collaboration sustained over time. We present the Team Research and AI Integration Lab (TRAIL), a web platform that makes the AI teammate a configurable, reproducible design object, pairing a Big Five persona with a selective-participation message pipeline, dual memory, chained longitudinal experiments, and export-ready analytics. In a real six-session classroom deployment (about 51 students), TRAIL sustained longitudinal chaining, held the AI to a stable minority of the conversation, and enabled export-driven AI-human text-similarity analysis. A single blind persona change produced a design-consistent double dissociation: a cognitive-scaffolding agent drew stronger contribution ratings and closer linguistic alignment; a socially-supportive agent, a warmer team climate and lower over-reliance.