Molecularly engineered room-temperature phosphorescence for biomedical application: from the visible toward second near-infrared window

B Chang, J Chen, J Bao, T Sun, Z Cheng - Chemical Reviews, 2023 - ACS Publications
Phosphorescence, characterized by luminescent lifetimes significantly longer than that of
biological autofluorescence under ambient environment, is of great value for biomedical …

Functional connectomics in depression: insights into therapies

Y Chai, YI Sheline, DJ Oathes, NL Balderston… - Trends in cognitive …, 2023 - cell.com
Depression is a common mental disorder characterized by heterogeneous cognitive and
behavioral symptoms. The emerging research paradigm of functional connectomics has …

Data leakage inflates prediction performance in connectome-based machine learning models

M Rosenblatt, L Tejavibulya, R Jiang, S Noble… - Nature …, 2024 - nature.com
Predictive modeling is a central technique in neuroimaging to identify brain-behavior
relationships and test their generalizability to unseen data. However, data leakage …

Reproducibility in neuroimaging analysis: challenges and solutions

R Botvinik-Nezer, TD Wager - Biological Psychiatry: Cognitive …, 2023 - Elsevier
Recent years have marked a renaissance in efforts to increase research reproducibility in
psychology, neuroscience, and related fields. Reproducibility is the cornerstone of a solid …

A multi-modal, asymmetric, weighted, and signed description of anatomical connectivity

J Tanner, J Faskowitz, AS Teixeira, C Seguin… - Nature …, 2024 - nature.com
The macroscale connectome is the network of physical, white-matter tracts between brain
areas. The connections are generally weighted and their values interpreted as measures of …

Statistical power in network neuroscience

K Helwegen, I Libedinsky… - Trends in Cognitive …, 2023 - cell.com
Network neuroscience has emerged as a leading method to study brain connectivity. The
success of these investigations is dependent not only on approaches to accurately map …

Brain-wide connectome inferences using functional connectivity MultiVariate Pattern Analyses (fc-MVPA)

A Nieto-Castanon - PLoS computational biology, 2022 - journals.plos.org
Current functional Magnetic Resonance Imaging technology is able to resolve billions of
individual functional connections characterizing the human connectome. Classical statistical …

The tip of the iceberg: A call to embrace anti-localizationism in human neuroscience research

S Noble, J Curtiss, L Pessoa, D Scheinost - Imaging Neuroscience, 2024 - direct.mit.edu
Human neuroscience research remains largely preoccupied with map** distinct brain
areas to complex psychological processes and features of mental health disorders. While …

Brain connectomics improve the prediction of high‐risk depression profiles in the first year following breast cancer diagnosis

MZ Liang, P Chen, Y Tang, XN Tang… - Depression and …, 2024 - Wiley Online Library
Background. Prediction of high‐risk depression trajectories in the first year following breast
cancer diagnosis with fMRI‐related brain connectomics is unclear. Methods. The Be …

[HTML][HTML] Study design features increase replicability in brain-wide association studies

K Kang, J Seidlitz, RAI Bethlehem, J **ong, MT Jones… - Nature, 2024 - nature.com
Brain-wide association studies (BWAS) are a fundamental tool in discovering brain–
behaviour associations,. Several recent studies have shown that thousands of study …