[HTML][HTML] Sex differences in the human brain: a roadmap for more careful analysis and interpretation of a biological reality

AR DeCasien, E Guma, S Liu, A Raznahan - Biology of Sex Differences, 2022 - Springer
The presence, magnitude, and significance of sex differences in the human brain are hotly
debated topics in the scientific community and popular media. This debate is largely fueled …

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 …

Standardizing workflows in imaging transcriptomics with the abagen toolbox

RD Markello, A Arnatkeviciute, JB Poline, BD Fulcher… - elife, 2021 - elifesciences.org
Gene expression fundamentally shapes the structural and functional architecture of the
human brain. Open-access transcriptomic datasets like the Allen Human Brain Atlas provide …

[HTML][HTML] Comparing spatial null models for brain maps

RD Markello, B Misic - NeuroImage, 2021 - Elsevier
Technological and data sharing advances have led to a proliferation of high-resolution
structural and functional maps of the brain. Modern neuroimaging research increasingly …

[HTML][HTML] One size does not fit all: methodological considerations for brain-based predictive modeling in psychiatry

E Dhamala, BTT Yeo, AJ Holmes - Biological Psychiatry, 2023 - Elsevier
Psychiatric illnesses are heterogeneous in nature. No illness manifests in the same way
across individuals, and no two patients with a shared diagnosis exhibit identical symptom …

[HTML][HTML] Transdiagnostic dimensions of psychopathology explain individuals' unique deviations from normative neurodevelopment in brain structure

L Parkes, TM Moore, ME Calkins, PA Cook… - Translational …, 2021 - nature.com
Psychopathology is rooted in neurodevelopment. However, clinical and biological
heterogeneity, together with a focus on case-control approaches, have made it difficult to link …

Moving beyond processing and analysis-related variation in neuroscience

X Li, NB Esper, L Ai, S Giavasis, H Jin, E Feczko, T Xu… - BioRxiv, 2021 - biorxiv.org
When fields lack consensus standards and ground truths for their analytic methods,
reproducibility can be more of an ideal than a reality. Such has been the case for functional …

[HTML][HTML] Automated medical diagnosis of Alzheimer´ s disease using an efficient net convolutional neural network

D Agarwal, MÁ Berbís, A Luna, V Lipari… - Journal of Medical …, 2023 - Springer
Alzheimer's disease (AD) poses an enormous challenge to modern healthcare. Since 2017,
researchers have been using deep learning (DL) models for the early detection of AD using …

Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research

F Eitel, MA Schulz, M Seiler, H Walter, K Ritter - Experimental Neurology, 2021 - Elsevier
By promising more accurate diagnostics and individual treatment recommendations, deep
neural networks and in particular convolutional neural networks have advanced to a …

On the variability of dynamic functional connectivity assessment methods

M Torabi, GD Mitsis, JB Poline - GigaScience, 2024 - academic.oup.com
Background Dynamic functional connectivity (dFC) has become an important measure for
understanding brain function and as a potential biomarker. However, various methodologies …