Eugenia Giampetruzzi

All Publications

• Inflammation, fronto-amygdala connectivity, and negative affective reactivity to daily stress in adolescents. Brain, behavior, & immunity - health Giampetruzzi, E., Yuan, J. P., Uy, J. P., Antonacci, C., Lee, Y., Gotlib, I. H. 2026; 55: 101280

  Abstract

  Maladaptive affective responses to daily stress in adolescence are a robust risk factor for the development of psychopathology. Importantly, however, adolescents vary widely in the magnitude of their affective reactivity to stress. Although peripheral inflammation and fronto-amygdala circuitry during emotion regulation are both plausible biological contributors to this variability, no study has yet integrated inflammatory markers, neural metrics of emotion regulation, and real-world assessments of stress and affect to examine how these systems interact to shape affective reactivity to stress in adolescents' daily life.Adolescents (N = 124; 60% female) aged 13.07-20.10 years (M = 16.20) completed a 14-day ecological momentary assessment (EMA) protocol assessing stressor occurrence, stress severity, and momentary affect. A subset of participants provided peripheral blood samples assayed for C-reactive protein (CRP) to index systemic inflammation (N = 85), and a further subset completed an fMRI affect-labeling task to quantify task-related functional connectivity between the amygdala and lateral prefrontal cortex (LPFC; N = 68). Multilevel models tested whether higher CRP predicted stronger within-person coupling of stress and negative affect (NA), and whether LPFC-amygdala connectivity moderated this association.Higher stress severity predicted higher NA, and greater inflammation potentiated these stress-related increases in NA. A three-way interaction with DLPFC-amygdala connectivity may further moderate this association, but the effect did not survive correction for multiple comparisons, and the sample was underpowered to test it reliably.Inflammation was linked to stronger coupling of daily stress and negative affect in adolescents. Whether fronto-amygdala connectivity adds to this remains untested at adequate power.

  View details for DOI 10.1016/j.bbih.2026.101280

  View details for PubMedID 42294081

  View details for PubMedCentralID PMC13254783

• Cardiac rhythm development: A wearable device index of risk for physical and mental illness in adolescence. medRxiv : the preprint server for health sciences Giampetruzzi, E., Kircanski, K., Pine, D. S., Gotlib, I. H. 2026

  Abstract

  The autonomic nervous system, which regulates cardiac rhythm, undergoes pronounced maturation across adolescence. How cardiac rhythm develops over this period, however, and whether individual differences in its development forecast mental and physical illness, remain open questions. We used three waves of Fitbit data from the Adolescent Brain Cognitive Development (ABCD) Study to characterize the developmental trajectory of the cardiac rhythm and to test whether variation in that trajectory predicts onset of psychopathology and cardiometabolic disease.8,301 adolescents contributed 242,811 valid Fitbit wear days across Waves 2 (Mage=12), 4 (Mage=14), and 6 (Mage=16). Cosinor mixed-effects models yielded three rhythm parameters per session: mesor (24-hour mean), amplitude (diurnal swing), and acrophase (peak timing). We first characterized age- and sex-specific trajectories, cross-wave stability, and factors shaping the rhythm. We then used parallel-process latent growth models to test whether within-person changes in rhythm tracked symptom trajectories, and hierarchical logistic models to test whether rhythm parameters predicted the first clinical onset of psychopathology and of obesity and hypertension.The cardiac rhythm changed substantially across adolescence: mesor decreased, amplitude flattened, and acrophase shifted later. Within-person change in the rhythm tracked change in blood pressure, BMI, and trajectories of depression and ADHD symptoms. Higher mesor predicted incident onset of all five outcomes controlling for demographics, baseline symptoms, and behavior (ORs 1.36-1.54); amplitude, acrophase, and rhythm instability conferred additional risk.The 24-hour cardiac rhythm is a passively measurable substrate of adolescent autonomic development that indexes transdiagnostic risk for psychiatric and cardiometabolic illness.

  View details for DOI 10.64898/2026.06.12.26355405

  View details for PubMedID 42369453

  View details for PubMedCentralID PMC13308269

• Reward-network connectivity in childhood predicts multi-domain dysregulation in adolescence. Journal of child psychology and psychiatry, and allied disciplines Giampetruzzi, E., Khosravi, P., Kircanski, K., Antonacci, C., Pine, D. S., Gotlib, I. H. 2026

  Abstract

  Multi-domain dysregulation in adolescence, indexed by co-occurring affective, cognitive, and behavioural difficulties, is a robust transdiagnostic risk factor. However, its developmental course and neural antecedents are poorly understood. Given heightened emotional reactivity and impulsivity in adolescence, alterations in reward-network connectivity may represent an early neural marker of risk.Adolescents completed four assessments approximately two years apart between ages 9-13 and 15-18 years. Multi-domain dysregulation was assessed at each wave using the Youth Self-Report Dysregulation Profile (YSR-DP), computed as the sum of the anxious/depressed, aggressive behaviour, and attention problems subscales. Resting-state fMRI was acquired at baseline (Mage = 11.34 years). Piecewise linear mixed-effects models (N = 211) characterized trajectories of YSR-DP scores across adolescence. Principal component scores indexing a Latent Dysregulation Factor were used to derive residualised change in dysregulation, and regression analyses (N = 94) tested whether baseline reward-network connectivity predicted this change.YSR-DP scores declined from late childhood to early adolescence, increased from early to mid-adolescence, and then stabilized in late adolescence. Weaker connectivity within the reward network in late childhood predicted greater increases in the latent dysregulation factor from early to mid-adolescence, above and beyond baseline dysregulation. Connectivity in seven large-scale control networks did not predict changes in dysregulation.Multi-domain dysregulation follows a nonlinear trajectory across adolescence, and weaker reward-network connectivity in childhood prospectively predicts subsequent escalation of this phenotype. Prevention and intervention efforts may benefit from targeting reward processing and regulatory skills in late childhood and early adolescence.

  View details for DOI 10.1111/jcpp.70143

  View details for PubMedID 41774020

• Harmonized psychiatric diagnosis data from the Adolescent Brain Cognitive Development Study. Research square Giampetruzzi, E., Pine, D. S., Zugman, A., Gotlib, I. H. 2026

  Abstract

  In the Adolescent Brain Cognitive Development (ABCD) Study, the computerized Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-COMP) was administered to 11,858 participants at up to eight waves. The structure of these data creates the need for many scoring decisions. Present and lifetime diagnoses, and parent and youth reports, are each stored separately; two instrument versions are pooled into shared columns; the same administrative codes represent several distinct forms of missingness; branch-skip logic produces missing data by design, and modules were added and dropped across the biennial schedule. Researchers resolve these features differently, so definitions of diagnoses vary significantly across studies. The consequences are substantial: holding the data fixed at release 7.0, the prevalence of any single disorder in ABCD ranges from 1.9% to 56.8%, depending on which definition is used. In this paper, we present a pipeline that makes each of these decisions explicit, along with a harmonized, analysis-ready diagnostic dataset for ABCD release 7.0. We also provide recommendations for multiverse analysis and a clinically informed recommended configuration.

  View details for DOI 10.21203/rs.3.rs-10083024/v1

  View details for PubMedID 42370269

• Temporal Signal-To-Noise Ratio Drives Age Effect in sgACC Connectivity Lentz, J., Chen, E., Giampetruzzi, E., Nielson, D., Pereira, F., Pine, D. S., Zugman, A. ELSEVIER SCIENCE INC. 2026: S313

  View details for Web of Science ID 001766762200038