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 …

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 …

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 …

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 …

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 …

Brain connectomics improve prediction of 1-year decreased quality of life in breast cancer: a multi-voxel pattern analysis

MZ Liang, Y Tang, P Chen, XN Tang, MT Knobf… - European Journal of …, 2024 - Elsevier
Purpose Whether brain connectomics can predict 1-year decreased Quality of Life (QoL) in
patients with breast cancer are unclear. A longitudinal study was utilized to explore their …

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 mapping distinct brain
areas to complex psychological processes and features of mental health disorders. While …

[HTML][HTML] Leveraging edge-centric networks complements existing network-level inference for functional connectomes

RX Rodriguez, S Noble, L Tejavibulya, D Scheinost - NeuroImage, 2022 - Elsevier
The human connectome is modular with distinct brain regions clustering together to form
large-scale communities, or networks. This concept has recently been leveraged in novel …

Altered brain dynamics across bipolar disorder and schizophrenia during rest and task switching revealed by overlapping brain states

J Ye, H Sun, S Gao, J Dadashkarimi, M Rosenblatt… - Biological …, 2023 - Elsevier
Background Individuals with bipolar disorder (BD) and schizophrenia (SCZ) show aberrant
brain dynamics (ie, altered recruitment or traversal through different brain states over time) …