Intrinsic network interactions explain individual differences in mentalizing ability in adolescents

Buuren, Mariët van; Lee, Nikki; Vegting, Iris; Walsh, Reubs J.; Sijtsma, Hester; Hollarek, Miriam; Krabbendam, Lydia

doi:10.1016/j.neuropsychologia.2020.107737

Cited by 11 publications

(13 citation statements)

References 99 publications

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“…Then we proofread the scanning time point of each layer image, and the head motion correction was used to exclude subjects with excessive head movement. Next, we used the Echo-Planer Imaging (EPI) template of the Montreal Neurologic Institute (MNI) space to standardize the image registration to 3 mm × 3 mm × 3 mm (Brandman et al, 2021;Fan et al, 2021;Peng et al, 2021), and 1 https://www.fil.ion.ucl.ac.uk/spm/software/spm12 finally the Gaussian kernel with a half-height full-width value of 6 mm was used for spatial smoothing to reduce spatial noise (Maniar et al, 2021;van Buuren et al, 2021).…”

Section: Data Preprocessingmentioning

confidence: 99%

Identification of Methamphetamine Abstainers by Resting-State Functional Magnetic Resonance Imaging

Dong

Huang

et al. 2021

Front. Psychol.

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Methamphetamine (MA) can cause brain structural and functional impairment, but there are few studies on whether this difference will sustain on MA abstainers. The purpose of this study is to investigate the correlation of brain networks in MA abstainers. In this study, 47 people detoxified for at least 14 months and 44 normal people took a resting-state functional magnetic resonance imaging (RS-fMRI) scan. A dynamic (i.e., time-varying) functional connectivity (FC) is obtained by applying sliding windows in the time courses on the independent components (ICs). The windowed correlation data for each IC were then clustered by k-means. The number of subjects in each cluster was used as a new feature for individual identification. The results show that the classifier achieved satisfactory performance (82.3% accuracy, 77.7% specificity, and 85.7% sensitivity). We find that there are significant differences in the brain networks of MA abstainers and normal people in the time domain, but the spatial differences are not obvious. Most of the altered functional connections (time-varying) are identified to be located at dorsal default mode network. These results have shown that changes in the correlation of the time domain may play an important role in identifying MA abstainers. Therefore, our findings provide valuable insights in the identification of MA and elucidate the pathological mechanism of MA from a resting-state functional integration point of view.

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Section: Data Preprocessingmentioning

confidence: 99%

Identification of Methamphetamine Abstainers by Resting-State Functional Magnetic Resonance Imaging

Dong

Huang

et al. 2021

Front. Psychol.

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“…Early studies showed that the patterns of functional connectivity of these networks are critically involved in various psychiatric disorders, including anxiety disorders, autism, schizophrenia, bipolar disorders, and dementias [ 10 – 15 ]. More recently, the interplay between these networks has been involved in the successful performance of social-cognitive tasks toward a close other [ 16 ] as well as mentalizing performances [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Wearing a KN95/FFP2 facemask induces subtle yet significant brain functional connectivity modifications restricted to the salience network

et al. 2022

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Background The use of facemasks is one of the consequences of the coronavirus disease 2019 (COVID-19) pandemic. We used resting-state functional magnetic resonance imaging (fMRI) to search for subtle changes in brain functional connectivity, expected notably related to the high-level salience network (SN) and default mode network (DMN). Methods Prospective crossover design resting 3-T fMRI study with/without wearing a tight FFP2/KN95 facemask, including 23 community-dwelling male healthy controls aged 29.9 ± 6.9 years (mean ± standard deviation). Physiological parameters, respiration frequency, and heart rate were monitored. The data analysis was performed using the CONN toolbox. Results Wearing an FFP2/KN95 facemask did not impact respiration or heart rate but resulted in a significant reduction in functional connectivity between the SN as the seed region and the left middle frontal and precentral gyrus. No difference was found when the DMN, sensorimotor, visual, dorsal attention, or language networks were used as seed regions. In the absence of significant changes of physiological parameter respiration and heart rate, and in the absence of changes in lower-level functional networks, we assume that those subtle modifications are cognitive consequence of wearing facemasks. Conclusions The effect of wearing a tight FFP2/KN95 facemask in men is limited to high-level functional networks. Using the SN as seed network, we observed subtle yet significant decreases between the SN and the left middle frontal and precentral gyrus. Our observations suggest that wearing a facemask may change the patterns of functional connectivity with the SN known to be involved in communication, social behavior, and self-awareness.

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“…The participants of the current study took part in both the first wave of the behavioral study and the first wave of the fMRI study of the #SOCONNeCT project (Sijtsma et al, 2021;Van Buuren et al, 2021;Van Buuren et al, 2020). The behavioral study consisted of the administration of multiple questionnaires and tasks, including a different version of the trust game compared to the one administered in the current study (the versions used a different cartoon animation and a different algorithm that modeled the partner's behavior).…”

Section: Methods Participantsmentioning

confidence: 99%

“…A further 125 participants (34%) had dental braces, which excluded them from participating. In total, 86 participants (23%) agreed to participation (see also Van Buuren et al, 2021;Van Buuren et al, 2022;Van Buuren et al, 2020). None of the 86 participants had contra-indications for MRI (e.g., metal implants, non-removable medical devices, braces, claustrophobia, or a neurological disorder).…”

Section: Methods Participantsmentioning

confidence: 99%

“…After the practice version of the game had finished, the participant was placed in the MRI scanner. The MRI procedure started with a resting state period (Van Buuren et al, 2021), followed by a trait judgement task (Van Buuren et al, 2022;Van Buuren et al, 2020), a structural scan, and ended with the trust game. The total scanning session lasted 45 minutes.…”

Section: Methodsmentioning

confidence: 99%

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Can I Trust You?

Sijtsma¹

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Adolescence is an important developmental period for learning who can and cannot be trusted, and how to adapt one’s trust behavior in response to others’ reciprocal behavior. The main objective of this thesis was to create more insight into the development of adolescent trust behavior and to explain individual differences in trust behavior and the related neural activity. The development of initial trust behavior and the development of adaptive trust behavior were investigated. Furthermore, in the chapters described in this thesis, factors within the individual, e.g., gender, personality traits, symptoms of psychopathology, and perspective-taking abilities, and factors from one’s social environment, e.g., social embeddedness within social networks, were used to predict individual differences in trust behavior. Collectively, the results presented in this thesis indicate that adolescence is an important developmental period for trust behavior. First, increased levels of initial trust behavior were found throughout adolescence. Second, adolescents showed stronger adaptive trust behavior with age when interacting with untrustworthy others, and they showed age-related increases in average trust behavior when the partner behaved in a trustworthy manner. This suggests that learning who can be trusted and responding adaptively to the partner develops throughout adolescence. Adaptive trust behavior was also elicited by contextual factors, as adolescents showed they were able to overcome incorrect prior expectations about the partner and adjust their trust behavior in response to the partner’s actual behavior. The increased dlPFC and superior parietal gyrus activity that was found when interacting with this partner might tentatively suggest that cognitive control processes underlie these adaptive trust behavior processes. Furthermore, the results of this thesis indicated no support for a relationship between trust behavior and personality traits, symptoms of psychopathology, and perspective-taking abilities. The results did show that individual differences in adolescent trust behavior and the related neural activity can be explained by gender and the position within a social network. Boys showed a stronger developmental increase in initial trust behavior throughout adolescence compared to girls. Furthermore, the centrality of one´s social network position was positively related to levels of initial trust and to caudate activity, tentatively indicating increased expectancy violation when interacting with untrustworthy others.

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Intrinsic network interactions explain individual differences in mentalizing ability in adolescents

Cited by 11 publications

References 99 publications

Identification of Methamphetamine Abstainers by Resting-State Functional Magnetic Resonance Imaging

Identification of Methamphetamine Abstainers by Resting-State Functional Magnetic Resonance Imaging

Wearing a KN95/FFP2 facemask induces subtle yet significant brain functional connectivity modifications restricted to the salience network

Can I Trust You?

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