Anxious brains: A combined data fusion machine learning approach to predict trait anxiety from morphometric features

T Baggio, A Grecucci, F Meconi, I Messina - Sensors, 2023 - mdpi.com
Trait anxiety relates to the steady propensity to experience and report negative emotions
and thoughts such as fear and worries across different situations, along with a stable …

Widespread cortical functional disconnection in gliomas: an individual network map** approach

E Silvestri, M Moretto, S Facchini… - Brain …, 2022 - academic.oup.com
Assessment of impaired/preserved cortical regions in brain tumours is typically performed
via intraoperative direct brain stimulation of eloquent areas or task-based functional MRI …

Narcissus reflected: Grey and white matter features joint contribution to the default mode network in predicting narcissistic personality traits

K Jornkokgoud, T Baggio, R Bakiaj… - European journal of …, 2024 - Wiley Online Library
Despite the clinical significance of narcissistic personality, its neural bases have not been
clarified yet, primarily because of methodological limitations of the previous studies, such as …

Predicting narcissistic personality traits from brain and psychological features: A supervised machine learning approach

K Jornkokgoud, T Baggio, M Faysal, R Bakiaj… - Social …, 2023 - Taylor & Francis
Narcissism is a multifaceted construct often linked to pathological conditions whose neural
correlates are still poorly understood. Previous studies have reported inconsistent findings …

Structural and functional brain networks of individual differences in trait anger and anger control: An unsupervised machine learning study

S Sorella, V Vellani, R Siugzdaite… - European Journal of …, 2022 - Wiley Online Library
The ability to experience, use and eventually control anger is crucial to maintain well‐being
and build healthy relationships. Despite its relevance, the neural mechanisms behind …

Resting-state BOLD temporal variability of the default mode network predicts spontaneous mind wandering, which is negatively associated with mindfulness skills

S Sorella, C Crescentini, A Matiz, M Chang… - Frontiers in Human …, 2025 - frontiersin.org
Mind wandering (MW) encompasses both a deliberate and a spontaneous disengagement
of attention from the immediate external environment to unrelated internal thoughts …

[HTML][HTML] Borderline shades: Morphometric features predict borderline personality traits but not histrionic traits

M Langerbeck, T Baggio, I Messina, S Bhat… - NeuroImage: Clinical, 2023 - Elsevier
Borderline personality disorder (BPD) is one of the most diagnosed disorders in clinical
settings. Besides the fully diagnosed disorder, borderline personality traits (BPT) are quite …

Performance in information processing speed is associated with parietal white matter tract integrity in multiple sclerosis

M Grothe, K Jochem, S Strauss, S Langner… - Frontiers in …, 2022 - frontiersin.org
Background The Symbol Digit Modalities Test (SDMT) is most frequently used to test
processing speed in patients with multiple sclerosis (MS). Functional imaging studies …

Joint gray and white matter networks predict mindfulness and mind wandering traits: a data fusion machine learning approach

M Chang, S Sorella, C Crescentini, A Grecucci - bioRxiv, 2024 - biorxiv.org
Mind wandering is a ubiquitous part of our normal cognition and daily lives, with people
reporting that their mind wanders during 25-50% of their waking hours. Studies suggest that …

A fronto-insular network underlies individual variations in anger expression and control

A Grecucci, F Graci, E Munari, X Yi, G Salvato… - Imaging …, 2024 - direct.mit.edu
Anger can be deconstructed into distinct components: a tendency to outwardly express it
(anger-out) and the capability to manage it (anger control). These aspects exhibit individual …