Age-associated cortical similarity networks correlate with cell type-specific transcriptional signatures.

Human brain structure shows heterogeneous patterns of change across adults aging and is associated with cognition. However, the relationship between cortical structural changes during aging and gene transcription signatures remains unclear. Here, using structural magnetic resonance imaging data of two separate cohorts of healthy participants from the Cambridge Centre for Aging and Neuroscience (n = 454, 18-87 years) and Dallas Lifespan Brain Study (n = 304, 20-89 years) and a transcriptome dataset, we investigated the link between cortical morphometric similarity network and brain-wide gene transcription. In two cohorts, we found reproducible morphometric similarity network change patterns of decreased morphological similarity with age in cognitive related areas (mainly located in superior frontal and temporal cortices), and increased morphological similarity in sensorimotor related areas (postcentral and lateral occipital cortices). Changes in morphometric similarity network showed significant spatial correlation with the expression of age-related genes that enriched to synaptic-related biological processes, synaptic abnormalities likely accounting for cognitive decline. Transcription changes in astrocytes, microglia, and neuronal cells interpreted most of the age-related morphometric similarity network changes, which suggest potential intervention and therapeutic targets for cognitive decline. Taken together, by linking gene transcription signatures to cortical morphometric similarity network, our findings might provide molecular and cellular substrates for cortical structural changes related to cognitive decline across adults aging.

The co-activation pattern between the DMN and other brain networks affects the cognition of older adults: evidence from naturalistic stimulation fMRI data.

Brain function changes affect cognitive functions in older adults, yet the relationship between cognition and the dynamic changes of brain networks during naturalistic stimulation is not clear. Here, we recruited the young, middle-aged and older groups from the Cambridge Center for Aging and Neuroscience to investigate the relationship between dynamic metrics of brain networks and cognition using functional magnetic resonance imaging data during movie-watching. We found six reliable co-activation pattern (CAP) states of brain networks grouped into three pairs with opposite activation patterns in three age groups. Compared with young and middle-aged adults, older adults dwelled shorter time in CAP state 4 with deactivated default mode network (DMN) and activated salience, frontoparietal and dorsal-attention networks (DAN), and longer time in state 6 with deactivated DMN and activated DAN and visual network, suggesting altered dynamic interaction between DMN and other brain networks might contribute to cognitive decline in older adults. Meanwhile, older adults showed easier transfer from state 6 to state 3 (activated DMN and deactivated sensorimotor network), suggesting that the fragile antagonism between DMN and other cognitive networks might contribute to cognitive decline in older adults. Our findings provided novel insights into aberrant brain network dynamics associated with cognitive decline.

Cortical thickness alterations are associated with astrocytes and excitatory neuron-specific transcriptome signatures in pediatric bipolar disorder.

Bipolar disorder (BD) is a heritable psychiatric disorder with a complex etiology that is often associated with cortical alterations. Morphometric studies in adults with BD are well established; however, few have examined cortical changes in pediatric BD (PBD). Additionally, the correlation between cortical thickness (CT) changes in PBD and gene expression remains elusive. Here, we performed an integrative analysis using neuroimaging data from 58 PBD individuals and the Allen human brain transcriptomic dataset. We applied partial least squares (PLS) regression analysis on structural MRI data and cortical gene expression, enrichment and specific cell type analysis to investigate the genetic correlates of CT alterations in PBD. We found the expression levels of PBD-related genes showed significant spatial correlations with CT differences. Further enrichment and specific cell type analysis revealed that transcriptome signatures associated with cortical thinning were enriched in synaptic signaling, ion channels, astrocytes, and excitatory neurons. Neurodevelopmental patterns of these genes showed significantly increased expression in the cerebellum, cortex, and subcortical regions during the adolescence period. These results highlight neurodevelopmental transcriptional changes could account for most of the observed correlations with CT differences in PBD, which offers a novel perspective to understand biological conceptualization mechanisms for the genetic correlates of CT alterations.

Sex differences in structural covariance network based on MRI cortical morphometry: effects on episodic memory.

Sex differences in episodic memory (EM), remembering past events based on when and where they occurred, have been reported, but the neural mechanisms are unclear. T1-weighted images of 111 females and 61 males were acquired from the Dallas Lifespan Brain Study. Using surface-based morphometry and structural covariance (SC) analysis, we constructed structural covariance networks (SCN) based on cortical volume, and the global efficiency (Eglob) was computed to characterize network integration. The relationship between SCN and EM was examined by SC analysis among the top-n brain regions that were most relevant to EM performance. The number of SC connections (females: 3306; males: 437, P = 0.0212) and Eglob (females: 0.1845; males: 0.0417, P = 0.0408) of SCN in females were higher than those in males. The top-n brain regions with the strongest SC in females were located in auditory network, cingulo-opercular network (CON), and default mode network (DMN), and in males, they were located in frontoparietal network, CON, and DMN. These results confirmed that the Eglob of SCN in females was higher than males, sex differences in EM performance might be related to the differences in network-level integration. Our study highlights the importance of sex as a research variable in brain science.

Predicting effects of career adaptability and educational identity on the career decision-making of Chinese higher vocational students.

The present study aimed to explore factors affecting Chinese higher vocational students' career decision-making. A sample (N = 983) was surveyed with a questionnaire. The results showed that somewhat more than half of the students (57.4%) decided to apply for a bachelor's degree whereas the rest decided to work (22.4%) or undecided (20.2%). Academic performance, grade, gender, study major, and career adaptability were shown to predict decision-making. By contrast, educational identity did not predict participants' career decision-making. These findings imply that career education should be based on students' choices for future development.

Prédiction des effets de l'adaptabilité professionnelle et de l'identité éducative sur la prise de décision professionnelle des étudiants professionnels supérieurs chinois. La présente étude visait à explorer les facteurs qui influent sur les décisions de carrière des étudiants professionnels chinois de niveau supérieur. Un échantillon (N = 983) a été sondé au moyen d'un questionnaire. Les résultats ont montré qu'un peu plus de la moitié des étudiants (57,4%) ont décidé de demander une licence, tandis que le reste a décidé de travailler (22,4%) ou indécis (20,2%). Le rendement scolaire, la note, le sexe, les études majeures et l'adaptabilité à la carrière ont permis de prédire la prise de décisions. En revanche, l'identité éducative n'a pas prédit la prise de décisions professionnelles des participants. Ces résultats impliquent que la formation professionnelle devrait être basée sur les choix des étudiants pour leur développement futur.

Predicción de los efectos de la adaptabilidad profesional y la identidad educativa en la toma de decisiones sobre la carrera de los estudiantes de formación profesional superior chinos. El objetivo del presente estudio es explorar los factores que afectan a la toma de decisiones sobre la carrera profesional de los estudiantes chinos. Se encuestó una muestra (N = 983) con un cuestionario. Los resultados mostraron que algo más de la mitad de los estudiantes (57,4%) decidieron solicitar una licenciatura, mientras que el resto decidió trabajar (22,4%) o indeciso (20,2%). Se demostró que el rendimiento académico, la calificación, el género, la especialización y la adaptabilidad profesional predecían la toma de decisiones. Por el contrario, la identidad educativa no predijo la toma de decisiones profesionales de los participantes. Estos hallazgos implican que la educación profesional debe basarse en las opciones de los estudiantes para el desarrollo futuro.

How physical exercise influences academic burnout among Chinese "Double Non" college students: the chain mediation role of mobile phone addiction and learning engagement.

Background: With mental anxiety caused by the COVID-19 pandemic, the trend of "lying down" has become increasingly prevalent among Chinese college students such as not thinking ahead, decadent abandonment, and being weak daily. Particularly, Chinese "Double Non" college students are more likely to face academic burnout (AB) due to lower school satisfaction and after-degree employment ratio, in comparison to "Double First-Class" college students. Objectives: In view of this, the present study examined the structural relationships of physical exercise (PE), mobile phone addiction (MPA), learning engagement (LE), and AB among Chinese "Double Non" college students, aiming at exploring corresponding mechanism to provide supportive guidance for alleviating potential AB. Methods: This study adopted a cross-sectional survey approach among the sample of "Double Non" college students in China. We recruited 930 participants (272 men and 658 women) in the second half of the 2022-2023 academic year, all of whom completed questionnaires involving Physical Exercise Rating Scale, Mobile Phone Dependence Index Scale, Utrecht Work Engagement Scale-Student, and Maslach Burnout Inventory-Student Survey. A series of statistical analyses, including descriptive statistics, bivariate correlations, and direct and indirect effects among study variables, were proceeded based on the collected data. Results: The results showed that PE can not only directly and negatively influence AB, but also indirectly and negatively influence AB through the mediation of MPA as well as the chain mediation of both MPA and LE. While PE had no significantly indirect effect on AB via LE. Discussion: Physical exercise was proved to be an effective way to reduce MPA and then enhance LE, consequently leading to decreased AB in Chinese "Double Non" college students. The findings were discussed in light of related research, and implications and future directions were put forward for application in potential theoretical research and educational practice.

Pallidal volume reduction and prefrontal-striatal-thalamic functional connectivity disruption in pediatric bipolar disorders.

BACKGROUND: As a crucial node of the corticolimbic model, the striatum has been demonstrated in modulating emotional cues in pediatric bipolar disorders (PBD), the striatal distinction in structure and function between PBD-I and PBD-II remains unclear. METHODS: MRI data of 36 patients in PBD-I, 22 patients in PBD-II and 19 age-gender matched healthy controls (HCs) were processed. Here, we investigated structural and functional alterations of 8 subregions of striatum (bilateral nucleus accumbens, caudate, putamen and globus pallidus) by analyzing MRI data. RESULTS: We found volume reduction of the right pallidum, the significant positive correlation between the number of episodes and the functional connectivity between left pallidum and right caudate in PBD-I patients, abrupted prefrontal-striatal-thalamic functional connectivity in PBD-I group and decreased functional connectivity in PBD-II relative to HCs and PBD-I. LIMITATIONS: Future studies should enroll more subjects and adopt a longitudinal perspective, which could help to discover striatum structural or functional alterations during subject-specific clinical progress in different states. CONCLUSIONS: Results of the present study confirmed that structural and functional abnormality of striatum may be helpful in identifying PBD clinical types as distinctive biomarkers. The interruptions of the prefrontal-striatal-thalamic circuits may provide advantageous evidence for expounding the role of striatum in bipolar disorders etiology. Thus, potential mechanisms of dysfunction striatum need to be formulated and reconceptualized with multimodal neuroimaging studies in future.

Thalamo-cortical inter-subject functional correlation during movie watching across the adult lifespan.

An increasing number of studies have shown that the functional interactions between the thalamus and cerebral cortices play an important role in cognitive function and are influenced by age. Previous studies have revealed age-related changes in the thalamo-cortical system within individuals, while neglecting differences between individuals. Here, we characterized inter-subject functional correlation (ISFC) between the thalamus and several cortical brain networks in 500 healthy participants aged 18-87 years old from the Cambridge Centre for Aging and Neuroscience (Cam-CAN) cohort using movie-watching state fMRI data. General linear models (GLM) were performed to assess age-related changes in ISFC of thalamo-cortical networks and the relationship between ISFC and fluid intelligence. We found significant age-related decreases in ISFC between the posterior thalamus (e.g., ventral posterior nucleus and pulvinar) and the attentional network, sensorimotor network, and visual network (FDR correction with p < 0.05). Meanwhile, the ISFC between the thalamus (mainly the mediodorsal nucleus and ventral thalamic nuclei) and higher-order cortical networks, including the default mode network, salience network and control network, showed complex changes with age. Furthermore, the altered ISFC of thalamo-cortical networks was positively correlated with decreased fluid intelligence (FDR correction with p < 0.05). Overall, our results provide further evidence that alterations in the functional integrity of the thalamo-cortical system might play an important role in cognitive decline during aging.

Machine learning algorithm performance evaluation in structural magnetic resonance imaging-based classification of pediatric bipolar disorders type I patients.

The diagnosis based on clinical assessment of pediatric bipolar disorder (PBD) may sometimes lead to misdiagnosis in clinical practice. For the past several years, machine learning (ML) methods were introduced for the classification of bipolar disorder (BD), which were helpful in the diagnosis of BD. In this study, brain cortical thickness and subcortical volume of 33 PBD-I patients and 19 age-sex matched healthy controls (HCs) were extracted from the magnetic resonance imaging (MRI) data and set as features for classification. The dimensionality reduced feature subset, which was filtered by Lasso or f_classif, was sent to the six classifiers (logistic regression (LR), support vector machine (SVM), random forest classifier, naïve Bayes, k-nearest neighbor, and AdaBoost algorithm), and the classifiers were trained and tested. Among all the classifiers, the top two classifiers with the highest accuracy were LR (84.19%) and SVM (82.80%). Feature selection was performed in the six algorithms to obtain the most important variables including the right middle temporal gyrus and bilateral pallidum, which is consistent with structural and functional anomalous changes in these brain regions in PBD patients. These findings take the computer-aided diagnosis of BD a step forward.