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Anxious brains: A combined data fusion machine learning approach to predict trait anxiety from morphometric features
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 …
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
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 …
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
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 …
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
Narcissism is a multifaceted construct often linked to pathological conditions whose neural
correlates are still poorly understood. Previous studies have reported inconsistent findings …
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
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 …
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
Mind wandering (MW) encompasses both a deliberate and a spontaneous disengagement
of attention from the immediate external environment to unrelated internal thoughts …
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
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 …
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
Background The Symbol Digit Modalities Test (SDMT) is most frequently used to test
processing speed in patients with multiple sclerosis (MS). Functional imaging studies …
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
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 …
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
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 …
(anger-out) and the capability to manage it (anger control). These aspects exhibit individual …