Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data

JA Ricard, TC Parker, E Dhamala, J Kwasa… - Nature …, 2023 - nature.com
Across the brain sciences, institutions and individuals have begun to actively acknowledge
and address the presence of racism, bias, and associated barriers to inclusivity within our …

[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 …

A global multicohort study to map subcortical brain development and cognition in infancy and early childhood

AM Alex, F Aguate, K Botteron, C Buss, YS Chong… - Nature …, 2024 - nature.com
The human brain grows quickly during infancy and early childhood, but factors influencing
brain maturation in this period remain poorly understood. To address this gap, we …

[HTML][HTML] Brain-based predictions of psychiatric illness–linked behaviors across the sexes

E Dhamala, LQR Ooi, J Chen, JA Ricard, E Berkeley… - Biological …, 2023 - Elsevier
Background Individual differences in functional brain connectivity can be used to predict
both the presence of psychiatric illness and variability in associated behaviors. However …

Modeling brain sex in the limbic system as phenotype for female-prevalent mental disorders

G Matte Bon, D Kraft, E Comasco, B Derntl… - Biology of sex …, 2024 - Springer
Background Sex differences exist in the prevalence and clinical manifestation of several
mental disorders, suggesting that sex-specific brain phenotypes may play key roles …

Exploratory correlation of the human structural connectome with non‐MRI variables in Alzheimer's disease

I Aganj, J Mora, A Frau‐Pascual… - Alzheimer's & …, 2023 - Wiley Online Library
Introduction Discovery of the associations between brain structural connectivity and clinical
and demographic variables can help to better understand the vulnerability and resilience of …

Evaluating the impact of intracranial volume correction approaches on the quantification of intracranial structures in MRI: a systematic analysis

M Hu, Y Lou, C Zhu, J Chen, S Liu… - Journal of Magnetic …, 2024 - Wiley Online Library
Background In neuroscience, accurately quantifying individual brain regions in large cohorts
is a challenge. Differences in intracranial structures can suggest functional differences, but …

Association of emotional and behavioral problems with the development of the substantia nigra, subthalamic nucleus, and red nucleus volumes and asymmetries from …

Y Wang, L Ma, J Wang, N Liu, W Men, S Tan… - Translational …, 2024 - nature.com
The substantia nigra (SN), subthalamic nucleus (STN), and red nucleus (RN) have been
widely studied as important biomarkers of degenerative diseases. However, how they …

Reliable and generalizable brain-based predictions of cognitive functioning across common psychiatric illness

S Chopra, E Dhamala, C Lawhead, JA Ricard… - medRxiv, 2022 - medrxiv.org
A primary aim of precision psychiatry is the establishment of predictive models linking
individual differences in brain functioning with clinical symptoms. In particular, cognitive …

fMRI functional connectivity is a better predictor of general intelligence than cortical morphometric features and ICA parcellation order affects predictive performance

EA de Souza, SA Silva, BH Vieira, CEG Salmon - Intelligence, 2023 - Elsevier
Intelligence, as a general cognitive ability, shows a substantial inter-subject variation.
Because of its impact on our lives, there is great interest in explaining the neural substrates …