Functional neuroimaging as a catalyst for integrated neuroscience

ES Finn, RA Poldrack, JM Shine - Nature, 2023 - nature.com
Functional magnetic resonance imaging (fMRI) enables non-invasive access to the awake,
behaving human brain. By tracking whole-brain signals across a diverse range of cognitive …

Neurobiology of attention-deficit hyperactivity disorder: historical challenges and emerging frontiers

S Koirala, G Grimsrud, MA Mooney, B Larsen… - Nature Reviews …, 2024 - nature.com
Extensive investigations spanning multiple levels of inquiry, from genetic to behavioural
studies, have sought to unravel the mechanistic foundations of attention-deficit hyperactivity …

[HTML][HTML] XCP-D: A Robust Pipeline for the post-processing of fMRI data

K Mehta, T Salo, TJ Madison, A Adebimpe… - Imaging …, 2024 - direct.mit.edu
Functional neuroimaging is an essential tool for neuroscience research. Pre-processing
pipelines produce standardized, minimally pre-processed data to support a range of …

[HTML][HTML] Quantifying brain development in the HEALthy Brain and Child Development (HBCD) Study: The magnetic resonance imaging and spectroscopy protocol

DC Dean III, MD Tisdall, JL Wisnowski, E Feczko… - Developmental cognitive …, 2024 - Elsevier
Abstract The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective
longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and …

The future of data analysis is now: integrating generative AI in neuroimaging methods development

E DuPre, RA Poldrack - Imaging Neuroscience, 2024 - direct.mit.edu
In this perspective, we highlight how emerging artificial intelligence tools are likely to impact
the experiences of researchers conducting computational fMRI analyses. While calls for the …

A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps

C Zhao, D Jarecka, S Covitz, Y Chen… - Imaging …, 2024 - direct.mit.edu
Neuroimaging research faces a crisis of reproducibility. With massive sample sizes and
greater data complexity, this problem becomes more acute. Software that operates on …

[PDF][PDF] SCIOPS: ACHIEVING PRODUCTIVITY AND RELIABILITY IN DATA-INTENSIVE RESEARCH

EC Johnson, TT Nguyen, BK Dichter… - arXiv preprint arXiv …, 2024 - shayneufeld.com
Scientists are increasingly leveraging advances in instruments, automation, and
collaborative tools to scale up their experiments and research goals, leading to new bursts …