PREFACE

1. Big Data and the Brain:Peeking at the Future

PERSPECTIVE

1. Challenges of Processing and Analyzing Big Data in Mesoscopic Whole-brain Imaging

REVIEW

1. Deciphering Brain Complexity Using Single-cell Sequencing
2. Application of Computational Biology to Decode Brain Transcriptomes
3. How Big Data and High-performance Computing Drive Brain Science
4. Functional Neuroimaging in the New Era of Big Data
5. Brain Banks Spur New Frontiers in Neuropsychiatric Research and Strategies for Analysis and Validation
6. Translational Informatics for Parkinson’s Disease:from Big Biomedical Data to Small Actionable Alterations

ORIGINAL RESEARCH

1. Machine Learning to Detect Alzheimer’s Disease from Circulating Non-coding RNAs
2. Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity

DATABASE

1. PsyMuKB:An Integrative De Novo Variant Knowledge Base for Developmental Disorders
2. GliomaDB:A Web Server for Integrating Glioma Omics Data and Interactive Analysis