HARMONY: A large-scale harmonized neuroimaging dataset for research on anxious misery disorders
Year: 2026
Type: preprint
Abstract: Patterns of brain circuit dysfunction underlying depression and anxiety have been increasingly characterized, including dimensional and subtype variation. A key challenge is determining how such patterns generalize across populations and measurement frameworks. Here, we introduce HARMONY, a harmonized multimodal neuroimaging dataset supporting large-scale investigation of brain-behavior associations across symptom-defined dimensions. HARMONY integrates four Human Connectome Project-style Connectomes Related to Human Disease cohorts spanning adolescence to later adulthood and capturing anxious misery symptoms. The resource combines standardized HCP-style preprocessing, quality control, imaging-derived phenotypes, and harmonized symptom measures into a clinically enriched public dataset. Proof-of-concept analyses using HARMONY showed that pooling heterogeneous cohorts increased statistical power for detecting associations between imaging-derived phenotypes and anhedonia and depression severity. Effect sizes remained modest, consistent with symptom-based measures across heterogeneous samples. Functional imaging-derived phenotypes showed the strongest multivariate predictive performance. In summary, HARMONY provides a large multi-cohort resource for reproducible mental health neuroimaging research.
Authors: Setthanan Jarukasemkit, Michael P. Harms, Petra Lenzini, Andrew Chen, Matthew F. Glasser, Kassandra Hamilton, Liangfang Li, Xiaoke Luo, Michael Myers, Adam R. Pines, Erin Reid, Leonardo Tozzi, Artemis Zavaliangos-Petropulu, Jiahe Zhang, Susan Whitfield-Gabrieli, Katherine L. Narr, Leanne M. Williams, Yvette Sheline, Janine D. Bijsterbosch
Institutions: Chulalongkorn University, Washington University in St. Louis, Mahidol University, Ramathibodi Hospital, Medical University of South Carolina, Stanford Medicine, Stanford University, University of California, Los Angeles, Harvard University, Massachusetts General Hospital, University of Pennsylvania
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
Awards: Acquisition of a next-generation computing cluster, Dimensional connectomics of anxious misery, A High Performance Research Image Repository (RIR) for the Washington University Center of High Performance Computing (CHPC), HCP-2.0: Ascertaining Network Mechanisms and Analytics of Emotional Dysfunction (HARMONY), Perturbation of the treatment resistant depression connectome by fast-acting therapies, Mapping connectomes for disordered emotional states, Connectomes Related to Anxiety and Depression in Adolescents, Combining Computational Methods, RDoC, and Big Neuroimaging Data to Understand Mechanisms of Neuropsychiatric Symptoms in Alzheimer's Disease, HCP-2.0: Ascertaining Network Mechanisms and Analytics of Emotional Dysfunction (HARMONY)
OpenAlex ID: W7166855826