Increasing diversity in connectomics with the Chinese Human Connectome Project

Ge, Jianqiao; Yang, Guoyuan; Han, Meizhen; Zhou, Sizhong; Men, Weiwei; Qin, Lang; Lyu, Bingjiang; Li, Hai; Wang, Haobo; Rao, Hengyi; Cui, Zaixu; Liu, Hesheng; Zuo, Xi‐Nian; Gao, Jia‐Hong

doi:10.1038/s41593-022-01215-1

Cited by 42 publications

(37 citation statements)

References 82 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There were additional cohort‐specific findings, for example, sFC group comparisons, which revealed increased amygdala–insula connectivity in SCD versus NC in SILCODE, but not DELCODE. Generally, cohort‐specific results could be related to ethnic diversity in functional connectomics per se 38 and disease‐induced adaptations, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…Reasons for inconsistencies could be small sample sizes, 32 heterogeneous SCD definitions, 22,36 and divergent analytical techniques, such as seed‐based approaches, 29 independent component analysis, 36 or topological network properties 30 . Furthermore, ethnicity can be an additional source of variance for functional network organization 37,38 …”

Section: Introductionmentioning

confidence: 99%

“…30 Furthermore, ethnicity can be an additional source of variance for functional network organization. 37,38 There is also limited evidence regarding whether changes of limbic FC in SCD are related to brain amyloid burden. Higher amyloid burden was associated with decreased seed-based functional connectivity (sFC) between basal forebrain and limbic areas (i.e., hippocampus and thalamus), 39 increased sFC between the precuneus and occipital regions, 40 and increased topological network properties within the default mode network (DMN).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Altered limbic functional connectivity in individuals with subjective cognitive decline: Converging and diverging findings across Chinese and German cohorts

Jiang

Daamen

et al. 2023

Alzheimer's & Dementia

View full text Add to dashboard Cite

INTRODUCTIONIt remains unclear whether functional brain networks are consistently altered in individuals with subjective cognitive decline (SCD) of diverse ethnic and cultural backgrounds and whether the network alterations are associated with an amyloid burden.METHODSCross‐sectional resting‐state functional magnetic resonance imaging connectivity (FC) and amyloid‐positron emission tomography (PET) data from the Chinese Sino Longitudinal Study on Cognitive Decline and German DZNE Longitudinal Cognitive Impairment and Dementia cohorts were analyzed.RESULTSLimbic FC, particularly hippocampal connectivity with right insula, was consistently higher in SCD than in controls, and correlated with SCD‐plus features. Smaller SCD subcohorts with PET showed inconsistent amyloid positivity rates and FC–amyloid associations across cohorts.DISCUSSIONOur results suggest an early adaptation of the limbic network in SCD, which may reflect increased awareness of cognitive decline, irrespective of amyloid pathology. Different amyloid positivity rates may indicate a heterogeneous underlying etiology in Eastern and Western SCD cohorts when applying current research criteria. Future studies should identify culture‐specific features to enrich preclinical Alzheimer's disease in non‐Western populations.Highlights Common limbic hyperconnectivity across Chinese and German subjective cognitive decline (SCD) cohorts was observed. Limbic hyperconnectivity may reflect awareness of cognition, irrespective of amyloid load. Further cross‐cultural harmonization of SCD regarding Alzheimer's disease pathology is required.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Altered limbic functional connectivity in individuals with subjective cognitive decline: Converging and diverging findings across Chinese and German cohorts

Jiang

Daamen

et al. 2023

Alzheimer's & Dementia

View full text Add to dashboard Cite

show abstract

“…We are proud and honored to work with a growing number of undergraduates and ECRs from various psychological subfields and at different academic career stages, who are diligent, passionate, and inspiring. Finally, members of COSN also acknowledge the importance of diversity of samples for both Chinese and international psychological studies and started to investigate this issue in depth (Ge et al, 2023; Liu et al, 2021; Yue et al, 2021; Zuo & Dong, 2021).…”

Section: Chinese Open Science Networkmentioning

confidence: 99%

The Chinese Open Science Network (COSN): Building an Open Science Community From Scratch

Jin

Wang

Yang

et al. 2023

Advances in Methods and Practices in Psychological Science

Self Cite

View full text Add to dashboard Cite

Open Science is becoming a mainstream scientific ideology in psychology and related fields. However, researchers, especially early-career researchers (ECRs) in developing countries, are facing significant hurdles in engaging in Open Science and moving it forward. In China, various societal and cultural factors discourage ECRs from participating in Open Science, such as the lack of dedicated communication channels and the norm of modesty. To make the voice of Open Science heard by Chinese-speaking ECRs and scholars at large, the Chinese Open Science Network (COSN) was initiated in 2016. With its core values being grassroots-oriented, diversity, and inclusivity, COSN has grown from a small Open Science interest group to a recognized network both in the Chinese-speaking research community and the international Open Science community. So far, COSN has organized three in-person workshops, 12 tutorials, 48 talks, and 55 journal club sessions and translated 15 Open Science-related articles and blogs from English to Chinese. Currently, the main social media account of COSN (i.e., the WeChat Official Account) has more than 23,000 subscribers, and more than 1,000 researchers/students actively participate in the discussions on Open Science. In this article, we share our experience in building such a network to encourage ECRs in developing countries to start their own Open Science initiatives and engage in the global Open Science movement. We foresee great collaborative efforts of COSN together with all other local and international networks to further accelerate the Open Science movement.

show abstract

“…Efforts for collecting large-scale datasets have arisen in the field in the past 10 years with, for instance, the Human Connectome Project (HCP) [ 21 ] or the UK Biobank [ 22 ] and give hope for an improvement of model performance. But these datasets are still much smaller than those that brought breakthroughs in computer vision and are often much less diverse [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

On the benefits of self-taught learning for brain decoding

2022

View full text Add to dashboard Cite

Context We study the benefits of using a large public neuroimaging database composed of functional magnetic resonance imaging (fMRI) statistic maps, in a self-taught learning framework, for improving brain decoding on new tasks. First, we leverage the NeuroVault database to train, on a selection of relevant statistic maps, a convolutional autoencoder to reconstruct these maps. Then, we use this trained encoder to initialize a supervised convolutional neural network to classify tasks or cognitive processes of unseen statistic maps from large collections of the NeuroVault database. Results We show that such a self-taught learning process always improves the performance of the classifiers, but the magnitude of the benefits strongly depends on the number of samples available both for pretraining and fine-tuning the models and on the complexity of the targeted downstream task. Conclusion The pretrained model improves the classification performance and displays more generalizable features, less sensitive to individual differences.

show abstract

Increasing diversity in connectomics with the Chinese Human Connectome Project

Cited by 42 publications

References 82 publications

Altered limbic functional connectivity in individuals with subjective cognitive decline: Converging and diverging findings across Chinese and German cohorts

Altered limbic functional connectivity in individuals with subjective cognitive decline: Converging and diverging findings across Chinese and German cohorts

The Chinese Open Science Network (COSN): Building an Open Science Community From Scratch

On the benefits of self-taught learning for brain decoding

Contact Info

Product

Resources

About