Linda A. Antonucci

Linda A. Antonucci
Università degli Studi di Bari Aldo Moro | Università di Bari · Dipartimento di Scienze Mediche di Base, Neuroscienze e Organi di Senso (SMBNOS)

PhD

About

98
Publications
17,234
Reads
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519
Citations
Citations since 2016
88 Research Items
510 Citations
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Introduction
I am affiliated to Department of Basic Medical Science, Neuroscience and Sense Organs at UNIBA as tenure-track assistant professor in Clinical Psychology, and to the Section for Neurodiagnostic Applications of LMU Munich as guest researcher. I am interested in applying machine learning techniques to the identification of risk and protective factors for mental health in sensitive neurodevelopmental periods in order to refine individualized early identification and intervention strategies.
Additional affiliations
July 2019 - March 2020
Università degli Studi di Bari Aldo Moro
Position
  • Professor (Assistant)
Description
  • Assistant professor in clinical psychology
July 2019 - present
Ludwig-Maximilians-University of Munich
Position
  • Visiting
June 2018 - July 2019
Ludwig-Maximilians-University of Munich
Position
  • PostDoc Position
Education
February 2014 - June 2017
Università degli Studi di Bari Aldo Moro
Field of study
  • Neuroscience, Developmental Psychology
January 2013 - July 2017
IPRA - Istituto di Psichiatria e Psicoterapia Post-Razionalista
Field of study
  • Psychotherapy
October 2006 - July 2011
Università degli Studi di Bari Aldo Moro
Field of study
  • Clinical Psychology

Publications

Publications (98)
Article
Patients with schizophrenia (SCZ), as well as their unaffected siblings (SIB), show functional connectivity (FC) alterations during performance of tasks involving attention. As compared with SCZ, these alterations are present in SIB to a lesser extent and are more pronounced during high cognitive demand, thus possibly representing one of the pathwa...
Article
Background Schizophrenia risk is associated with both genetic and environmental risk factors. Furthermore, cognitive abnormalities are established core characteristics of schizophrenia. We aim to assess whether a classification approach encompassing risk factors, cognition and their associations can discriminate patients (SCZ) from healthy control...
Article
The thalamus participates in multiple functional brain networks supporting different cognitive abilities. How thalamo-cortical connections map onto the architecture of human cognition remains an outstanding question. The aim of this meta-analysis is to map co-activation between thalamic and extra-thalamic brain regions onto separate cognitive domai...
Article
Background Clinical high-risk states for psychosis (CHR) are associated with functional impairments and depressive disorders. A previous PRONIA study predicted social functioning in CHR and recent-onset depression (ROD) based on structural magnetic resonance imaging (sMRI) and clinical data. However, the combination of these domains did not lead to...
Article
Background: Resilience is defined as the ability to modify thoughts to cope with stressful events. Patients with schizophrenia (SCZ) having higher resilience (HR) levels show less severe symptoms and better real-life functioning. However, the clinical factors contributing to determine resilience levels in patients remain unclear. Thus, based on ps...
Article
Full-text available
Introduction Psychosis onset typically occurs during adolescence or early adulthood, coinciding with the latest stage of brain maturation. Alterations in brain functional connectivity (FC) accompany the emergence of psychiatric symptoms and cognitive impairments. Thus, age-related FC changes may be informative regarding psychosis onset. Objectives...
Article
Full-text available
Subtle subjective visual dysfunctions (VisDys) are reported by about 50% of patients with schizophrenia and are suggested to predict psychosis states. Deeper insight into VisDys, particularly in early psychosis states, could foster the understanding of basic disease mechanisms mediating susceptibility to psychosis, and thereby inform preventive int...
Article
Importance: Approaches are needed to stratify individuals in early psychosis stages beyond positive symptom severity to investigate specificity related to affective and normative variation and to validate solutions with premorbid, longitudinal, and genetic risk measures. Objective: To use machine learning techniques to cluster, compare, and comb...
Poster
Full-text available
Background: Patients with schizophrenia have been shown to present with cognitive and language disturbances prior to the first psychosis onset. Previous studies have shown high classification accuracy using neurocognitive pattern classification to identifying patients with schizophrenia (SCZ) and individuals at clinical high risk (CHR) for psychosi...
Article
Full-text available
Recent review articles provided an extensive collection of studies covering many aspects of format thought disorders (FTD) among their epidemiology and phenomenology, their neurobiological underpinnings, genetics as well as their transdiagnostic prevalence. However, less attention has been paid to the association of FTD with neurocognitive and func...
Article
Full-text available
Background Formal thought disorder (FTD) has been associated with more severe illness courses and functional deficits in patients with psychotic disorders. However, it remains unclear whether the presence of FTD characterises a specific subgroup of patients showing more prominent illness severity, neurocognitive and functional impairments. This stu...
Article
Full-text available
Continued cannabis use (CCu) is an important predictor for poor long-term outcomes in psychosis and clinically high-risk patients, but no generalizable model has hitherto been tested for its ability to predict CCu in these vulnerable patient groups. In the current study, we investigated how structured clinical and cognitive assessments and structur...
Preprint
Full-text available
Left-right asymmetry is an important organizing feature of the healthy brain that may be altered in schizophrenia, but most studies have used relatively small samples and heterogeneous approaches, resulting in equivocal findings. We carried out the largest case-control study of structural brain asymmetries in schizophrenia, using MRI data from 5,08...
Article
Background Morphology of the human cerebral cortex differs across psychiatric disorders, with neurobiology and developmental origins mostly undetermined. Deviations in the tangential growth of the cerebral cortex during pre/peri-natal period may be reflected in individual variations in cortical surface area. Methods Inter-regional profiles of grou...
Article
Objective Earlier evidence suggested that structural–functional covariation in schizophrenia patients (SCZ) is associated with cognition, a predictor of functioning. Moreover, studies suggested that functional brain abnormalities of schizophrenia may be related with structural network features. However, only few studies have investigated the relati...
Article
Objective Psychotic disorders are frequently associated with decline in functioning and cognitive difficulties are observed in subjects at clinical high risk (CHR) for psychosis. In this work, we applied automatic approaches to neurocognitive and functioning measures, with the aim of investigating the link between global, social and occupational f...
Preprint
Full-text available
Schizophrenia (SZ) is associated with an increased risk of life-long cognitive impairments, age-related chronic disease, and premature mortality. We investigated evidence for advanced brain ageing in adult SZ patients, and whether this was associated with clinical characteristics in a prospective meta-analytic study conducted by the ENIGMA Schizoph...
Article
Full-text available
Background: Psycho-oncology literature pointed out that individual health outcomes may depend on patients' propensity to adopt approach or, conversely, avoidant coping strategies. Nevertheless, coping factors associated with postoperative distress remain unclear, unfolding the lack of tailored procedures to help breast cancer patients manage the p...
Article
Aggression can have a hedonistic aspect in predisposed individuals labeled as appetitive aggression. The present study investigates the neurobiological correlates of this appetitive type of aggression in non-clinical samples from community. Applying functional magnet resonance imaging (fMRI), we tested whether 20 martial artists compared to 26 cont...
Article
Insecure attachment has been suggested as a major risk factor for mental health problems as well as a key element for the development and trajectory of psychiatric disorders. The aim of this meta-analysis was to assess whether insecure attachment constitutes a global transdiagnostic risk factor in bipolar disorder, depression, and schizophrenia spe...
Article
Full-text available
The process of storing recently encoded episodic mnestic traces so that they are available for subsequent retrieval is accompanied by specific brain functional connectivity (FC) changes. In this fMRI study, we examined the early processing of memories in twenty-eight healthy participants performing an episodic memory task interposed between two res...
Article
Adult gyrification provides a window into coordinated early neurodevelopment when disruptions predispose individuals to psychiatric illness. We hypothesized that the echoes of such disruptions should be observed within structural gyrification networks in early psychiatric illness that would demonstrate associations with developmentally relevant var...
Article
Full-text available
Background Substance Use Disorder (SUD) causes a great deal of personal suffering for patients. Recent evidence highlights how defenses and emotion regulation may play a crucial part in the onset and development of this disorder. The aim of this study was to investigate potential differences in the defensive functioning between SUD patients and non...
Article
Machine learning classifications of first-episode psychosis (FEP) using neuroimaging have predominantly analyzed brain volumes. Some studies examined cortical thickness, but most of them have used parcellation approaches with data from single sites, which limits claims of generalizability. To address these limitations, we conducted a large-scale, m...
Article
Full-text available
Negative symptoms occur frequently in individuals at clinical high risk (CHR) for psychosis and contribute to functional impairments. The aim of this study was to predict negative symptom severity in CHR after 9 months. Predictive models either included baseline negative symptoms measured with the Structured Interview for Psychosis-Risk Syndromes (...
Article
Full-text available
Background Cognitive deficits are core features of Schizophrenia, showing poor response to antipsychotic treatment, therefore non-pharmacological rehabilitative approaches to such a symptom domain need to be identified. However, since not all patients with Schizophrenia exhibit the same cognitive impairment profile, individualized rehabilitative ap...
Article
Full-text available
Background Recent views posited that negative parenting and attachment insecurity can be considered as general environmental factors of vulnerability for psychosis, specifically for individuals diagnosed with psychosis (PSY). Furthermore, evidence highlighted a tight relationship between attachment style and social cognition abilities, a key PSY be...
Article
Full-text available
Cannabis use during adolescence is associated with an increased risk of developing psychosis. According to a current hypothesis, this results from detrimental effects of early cannabis use on brain maturation during this vulnerable period. However, studies investigating the interaction between early cannabis use and brain structural alterations hit...
Article
Full-text available
In schizophrenia, neurocognitive subtypes can be distinguished based on cognitive performance and they are associated with neuroanatomical alterations. We investigated the existence of cognitive subtypes in shortly medicated recent onset psychosis patients, their underlying gray matter volume patterns and clinical characteristics. We used a K-means...
Article
Background/objectives: Functional gastrointestinal disorders (FGIDs) are a heterogeneous group of conditions of unclear etiology. The biopsychosocial model approach to FGIDs posits that early-life stressors may trigger a cascade of complex interactions between genetic predisposition and risk factors eventually leading to the occurrence of FGIDs. T...
Article
Full-text available
Convergent findings indicate that cannabis use and variation in the cannabinoid CB1 receptor coding gene (CNR1) modulate prefrontal function during working memory (WM). Other results also suggest that cannabis modifies the physiological relationship between genetically induced expression of CNR1 and prefrontal WM processing. However, it is possible...
Article
Importance Diverse models have been developed to predict psychosis in patients with clinical high-risk (CHR) states. Whether prediction can be improved by efficiently combining clinical and biological models and by broadening the risk spectrum to young patients with depressive syndromes remains unclear. Objectives To evaluate whether psychosis tra...
Article
In recent years, several studies have been conducted in order to analyze the quality of the psychotherapeutic relationship in its multifaced aspects, as well as its potential influence on psychotherapy outcomes. The current article aims to review the most recent contributions on this topic by focusing the attention on the clinical bond through the...
Article
Full-text available
In community studies, both attenuated psychotic symptoms (APS) and basic symptoms (BS) were more frequent but less clinically relevant in children and adolescents compared to adults. In doing so, they displayed differential age thresholds that were around age 16 for APS, around age 18 for perceptive BS, and within the early twenties for cognitive B...
Article
Full-text available
Background: Greater impairments in early sensory processing predict response to auditory computerized cognitive training (CCT) in patients with recent-onset psychosis (ROP). Little is known about neuroimaging predictors of response to social CCT, an experimental treatment that was recently shown to induce cognitive improvements in patients with psy...
Article
Full-text available
Two decades of studies suggest that computerized cognitive training (CCT) has an effect on cognitive improvement and the restoration of brain activity. Nevertheless, individual response to CCT remains heterogenous, and the predictive potential of neuroimaging in gauging response to CCT remains unknown. We employed multivariate pattern analysis (MVP...
Article
Full-text available
Purpose: Chronic pain (CP) is a complex multidimensional experience severely affecting the quality of life of individuals. Multiple cognitive, affective, emotional and interpersonal factors play a major role in CP. Furthermore, the psychological, social and physical circumstances leading to CP show high inter-individual variability, thus making it...
Article
Full-text available
Previous studies have indicated a link between socio-emotional processing and the oxytocin receptor. In this regard, a single nucleotide polymorphism in the oxytocin receptor coding gene (OXTR rs2268493) has been linked with lower social functioning, increased risk for Autism Spectrum Disorders (ASDs) and with post-mortem OXTR mRNA expression level...
Presentation
Symposium abstract: Despite several decades of clinical and neuroscientific research in psychiatry, established diagnoses are often ambiguous, prognoses are unpredictable, and response to treatment is uncertain. Such an uncertainty extent may be due to the heterogeneous and multi-factorial risk pathways of psychiatric illnesses. This applies parti...
Presentation
Attentional control disturbances are core features of schizophrenia, both at the behavioral and brain level. Indeed, studies revealed that patients with schizophrenia (SCZ), as well as their unaffected siblings (SIB), show brain activity and functional connectivity (FC) anomalies during attention. However, these anomalies are present in SIB only to...
Article
Full-text available
Background Precise prognosis of clinical outcomes in individuals at clinical high-risk (CHR) of developing psychosis is imperative to guide treatment selection. While much effort has been put into the prediction of transition to psychosis in CHR individuals, prognostic models focusing on negative symptom progression in this population are widely mi...
Article
Full-text available
Background Childhood maltreatment (CM) is a major psychiatric risk factor and leads to long-lasting physical and mental health implications throughout the affected individual’s lifespan. Nonetheless, the neuroanatomical correlates of CM and their specific clinical impact remain elusive. This might be attributed to the complex, multidimensional natu...
Article
Full-text available
Background Formal thought disorder (FThD) has been associated with more severe illness courses and functional deficits in psychosis patients. Given these associations, it remains unclear whether the presence of FThD accounts for the heterogeneous presentation of psychoses, and whether it characterises a specific subgroup of patients showing promine...
Article
Full-text available
Background Functional deficits associated with the Clinical High Risk (CHR) status very often lead to inability to attend school, unemployment, as well as social isolation, thus calling for predictors of individual functional outcomes which may facilitate the identification of people requiring care irrespective of transition to psychosis. Studies h...
Poster
Background Patients with schizophrenia (SCZ) show lower volumetric estimates of gray matter (GM) than healthy controls (HC). Similar results have been reported in healthy siblings of patients (SIB). However, it is unclear whether this phenotype is also present in individuals at clinical high-risk (CHR), characterized by sub-threshold symptoms and l...
Article
Full-text available
Background Machine learning classifications of first-episode psychosis (FEP) using neuroimaging have predominantly analyzed brain volumes. Some studies examined cortical thickness data, but most of them have used parcellation approaches with data from single sites, which limits claims of generalizability. To address these limitations, we conducted...
Article
Full-text available
Background The Clinical High Risk (CHR) paradigm has led research into the biological and clinical underpinnings of the risk for psychosis, aiming at predicting and possibly preventing transition to the disorder. Statistical methods like machine learning (ML) and Cox proportional hazard regression have enabled the construction of diagnostic and pro...
Article
Full-text available
Background Evidence exists that cannabis consumption is associated with the development of psychosis. Further, continued cannabis use in individuals with recent onset psychosis (ROP) increases the risk for rehospitalization, high symptom severity and low general functioning. Clear inter-individual differences in the vulnerability to the harmful eff...
Presentation
The heterogeneous and multifactorial etiology of psychosis makes it difficult to identify mutual relationships between risk factors, a crucial step to implement early identification programs. The aim of this talk is to elucidate how machine learning techniques combining different data sources may be a viable way for identifying disease-and-risk-rel...
Article
Aim: Alcohol use disorder (AUD) has been associated with recognition memory deficits. However, it remains unclear whether these deficits occur at the general recognition memory level or whether they selectively affect its subcomponents. Evidence suggests that recognition memory deficits may vary according to the heterogeneity of memory stimuli. Our...
Article
Background Childhood trauma (CT) is a major, yet elusive psychiatric risk factor, whose multidimensional conceptualization and heterogeneous effects on brain morphology might demand advanced mathematical modelling. Therefore, we present an unsupervised machine learning approach to characterize the clinical and neuroanatomical complexity of CT in a...
Article
Importance Identifying psychosis subgroups could improve clinical and research precision. Research has focused on symptom subgroups, but there is a need to consider a broader clinical spectrum, disentangle illness trajectories, and investigate genetic associations. Objective To detect psychosis subgroups using data-driven methods and examine their...
Article
Full-text available
Background The Clinical High Risk(CHR) paradigm has facilitated research into the underpinnings of help-seeking individuals at risk for developing psychosis, aiming at predicting and possibly preventing transition to the overt disorder. Statistical methods like machine learning(ML) and Cox regression have provided the methodological basis for this...
Article
Background Previous models suggest biological and behavioral continua among healthy individuals (HC), at-risk condition, and full-blown schizophrenia (SCZ). Part of these continua may be captured by schizotypy, which shares subclinical traits and biological phenotypes with SCZ, including thalamic structural abnormalities. In this regard, previous f...