Daniel S. Barron
Daniel S. Barron
Brigham & Women's Hospital, Harvard University
Verified email at bwh.harvard.edu - Homepage
Cited by
Cited by
Ten simple rules for predictive modeling of individual differences in neuroimaging
D Scheinost, S Noble, C Horien, AS Greene, EMR Lake, M Salehi, S Gao, ...
NeuroImage 193, 35-45, 2019
Stuttering, induced fluency, and natural fluency: a hierarchical series of activation likelihood estimation meta-analyses
KS Budde, DS Barron, PT Fox
Brain and Language 139, 99-107, 2014
Neurofunctional topography of the human hippocampus
JL Robinson, DS Barron, LAJ Kirby, KL Bottenhorn, AC Hill, JE Murphy, ...
Human brain mapping 36 (12), 5018-5037, 2015
Thalamic structural connectivity in medial temporal lobe epilepsy
DS Barron, N Tandon, JL Lancaster, PT Fox
Epilepsia 55 (6), e50-e55, 2014
Thalamic medial dorsal nucleus atrophy in medial temporal lobe epilepsy: a VBM meta-analysis
DS Barron, PM Fox, AR Laird, JL Robinson, PT Fox
NeuroImage: Clinical 2, 25-32, 2013
Human pulvinar functional organization and connectivity
DS Barron, SB Eickhoff, M Clos, PT Fox
Human brain mapping 36 (7), 2417-2431, 2015
BrainMap VBM: An environment for structural meta‐analysis
TJ Vanasse, PM Fox, DS Barron, M Robertson, SB Eickhoff, JL Lancaster, ...
Human brain mapping 39 (8), 3308-3325, 2018
Patterns of gray matter atrophy in atypical parkinsonism syndromes: a VBM meta‐analysis
F Yu, DS Barron, B Tantiwongkosi, P Fox
Brain and Behavior 5 (6), e00329, 2015
Individualized functional networks reconfigure with cognitive state
M Salehi, A Karbasi, DS Barron, D Scheinost, RT Constable
NeuroImage 206, 116233, 2020
Thalamic functional connectivity predicts seizure laterality in individual TLE patients: application of a biomarker development strategy
DS Barron, PT Fox, H Pardoe, J Lancaster, LR Price, K Blackmon, K Berry, ...
NeuroImage: Clinical 7, 273-280, 2015
Loss of nucleus accumbens low-frequency fluctuations is a signature of chronic pain
MM Makary, P Polosecki, GA Cecchi, IE DeAraujo, DS Barron, ...
Proceedings of the National Academy of Sciences 117 (18), 10015-10023, 2020
A hitchhiker’s guide to working with large, open-source neuroimaging datasets
C Horien, S Noble, AS Greene, K Lee, DS Barron, S Gao, D O’Connor, ...
Nature human behaviour 5 (2), 185-193, 2021
Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants
DS Barron, M Salehi, M Browning, CJ Harmer, RT Constable, E Duff
Neuroimage: Clinical 20, 407-414, 2018
Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders
DS Barron, S Gao, J Dadashkarimi, AS Greene, MN Spann, S Noble, ...
Cerebral Cortex 31 (5), 2523-2533, 2021
Characterisation of meta-analytical functional connectivity in progressive supranuclear palsy
F Yu, DS Barron, B Tantiwongkosi, M Fox, P Fox
Clinical radiology 73 (4), 415. e1-415. e7, 2018
State-specific individualized functional networks form a predictive signature of brain state
M Salehi, A Karbasi, DS Barron, D Scheinost, RT Constable
BioRxiv, 372110, 2018
BrainMap Database as a Resource for Computational Modeling
DS Barron, PT Fox
Brain Mapping: An Encyclopedic Reference, 675-684, 2015
Commentary: the ethical challenges of machine learning in psychiatry: a focus on data, diagnosis, and treatment
DS Barron
Psychological Medicine, 1-3, 2021
Decision Models and Technology in Psychiatry
DS Barron
Biological Psychiatry 90 (4), 208-211, 2021
Preliminary Phenotypic Feature Capture During Clinical Interaction
D Barron, S Heisig, R Norel, C Agurto, B Quagan, A Powers, J Baker, ...
Biological Psychiatry, S212-S213, 2020
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