Austin J Brockmeier
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Explore the profile of Austin J Brockmeier including associated specialties, affiliations and a list of published articles.
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Articles
23
Citations
128
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Recent Articles
1.
Claros-Olivares C, Anderson M, Qian W, Brockmeier A, Buckley T
medRxiv
. 2025 Feb;
PMID: 39973980
Background: Emerging evidence indicates an elevated risk of post-concussion musculoskeletal (MSK) injuries in collegiate athletes; however, identifying athletes at highest risk remains to be elucidated. Objective: The purpose of this...
2.
Claros-Olivares C, Clements R, McIlvain G, Johnson C, Brockmeier A
Biol Methods Protoc
. 2025 Feb;
10(1):bpae086.
PMID: 39902188
Brain age, as a correlate of an individual's chronological age obtained from structural and functional neuroimaging data, enables assessing developmental or neurodegenerative pathology relative to the overall population. Accurately inferring...
3.
Holton K, Higgins A, Brockmeier A, Hall M
Acta Neuropsychiatr
. 2024 Dec;
37():e1.
PMID: 39648748
Objective: Psychotic disorders are characterised by abnormalities in the synchronisation of neuronal responses. A 40 Hz gamma band deficit during auditory steady-state response (ASSR) measured by electroencephalogram (EEG) is a...
4.
Holton K, Chan S, Brockmeier A, Ongur D, Hall M
Neuroimage
. 2023 Apr;
274:120127.
PMID: 37086876
Cortical thickness reductions differ between individuals with psychotic disorders and comparison subjects even in early stages of illness. Whether these reductions covary as expected by functional network membership or simply...
5.
Clements R, Claros-Olivares C, McIlvain G, Brockmeier A, Johnson C
bioRxiv
. 2023 Feb;
PMID: 36824781
Brain age is a quantitative estimate to explain an individual's structural and functional brain measurements relative to the overall population and is particularly valuable in describing differences related to developmental...
6.
Mendoza-Cardenas C, Brockmeier A
Annu Int Conf IEEE Eng Med Biol Soc
. 2021 Dec;
2021:1136-1139.
PMID: 34891488
Seizure detection algorithms must discriminate abnormal neuronal activity associated with a seizure from normal neural activity in a variety of conditions. Our approach is to seek spatiotemporal waveforms with distinct...
7.
Hamulyak E, Brockmeier A, Killas J, Ananiadou S, Middeldorp S, Leroi A
BMJ Open
. 2020 Oct;
10(10):e039759.
PMID: 33087376
Objective: To determine how the representation of women's health has changed in clinical studies over the course of 70 years. Design: Observational study of 71 866 research articles published between...
8.
Brockmeier A, Ju M, Przybyla P, Ananiadou S
BMC Med Inform Decis Mak
. 2019 Dec;
19(1):256.
PMID: 31805934
Background: Machine learning can assist with multiple tasks during systematic reviews to facilitate the rapid retrieval of relevant references during screening and to identify and extract information relevant to the...
9.
Przybyla P, Brockmeier A, Ananiadou S
J Am Med Inform Assoc
. 2019 Mar;
26(6):537-546.
PMID: 30840055
Objective: We seek to quantify the mortality risk associated with mentions of medical concepts in textual electronic health records (EHRs). Recognizing mentions of named entities of relevant types (eg, conditions,...
10.
Przybyla P, Brockmeier A, Kontonatsios G, Le Pogam M, McNaught J, von Elm E, et al.
Res Synth Methods
. 2018 Jun;
9(3):470-488.
PMID: 29956486
Screening references is a time-consuming step necessary for systematic reviews and guideline development. Previous studies have shown that human effort can be reduced by using machine learning software to prioritise...