Andrew L. Janke

ORCID: 0000-0003-0547-5171
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About
Contact & Profiles
Research Areas
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Functional Brain Connectivity Studies
  • Medical Image Segmentation Techniques
  • Bayesian Methods and Mixture Models
  • Dementia and Cognitive Impairment Research
  • Medical Imaging Techniques and Applications
  • Alzheimer's disease research and treatments
  • Acute Ischemic Stroke Management
  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Statistical Methods and Bayesian Inference
  • Time Series Analysis and Forecasting
  • Physiological and biochemical adaptations
  • Statistical Methods and Inference
  • Brain Tumor Detection and Classification
  • MRI in cancer diagnosis
  • Amphibian and Reptile Biology
  • Spectroscopy and Chemometric Analyses
  • Neurological Disease Mechanisms and Treatments
  • Glioma Diagnosis and Treatment
  • Cell Image Analysis Techniques
  • Biomedical Text Mining and Ontologies
  • Gaussian Processes and Bayesian Inference
  • Data Quality and Management

The University of Queensland
2007-2021

National Imaging Facility
2013-2021

The University of Sydney
2019-2020

University of Technology Sydney
2019

ARC Centre of Excellence in Advanced Molecular Imaging
2012-2017

Zero to Three
2014

The University of Melbourne
2014

Australian National University
2008-2012

Monash University
2012

McGill University
2003-2008

We detected and mapped a dynamically spreading wave of gray matter loss in the brains patients with Alzheimer's disease (AD). The pattern was visualized four dimensions as it spread over time from temporal limbic cortices into frontal occipital brain regions, sparing sensorimotor cortices. shifting deficits were asymmetric (left hemisphere > right hemisphere) correlated progressively declining cognitive status (p < 0.0006). Novel mapping methods allowed us to visualize dynamic patterns...

10.1523/jneurosci.23-03-00994.2003 article EN Journal of Neuroscience 2003-02-01

Magnetic resonance imaging (MRI) methods such as diffusion- (DWI) and perfusion-weighted (PWI) have been widely studied surrogate markers to monitor stroke evolution predict clinical outcome. The utility of quantitative electroencephalography (qEEG) a marker in acute has not intensively studied. aim the present study was correlate ischemic cortical patients' outcomes with qEEG, DWI, PWI data.DWI data were acquired from 11 patients within 7 16 hours after onset symptoms. Sixty-four channel...

10.1161/01.str.0000122622.73916.d2 article EN Stroke 2004-03-09

Abstract Purpose To investigate microstructural changes in cortical and white matter pathways patients with Alzheimer's disease using diffusion tensor imaging (DTI). Materials Methods Measures of mean diffusivity (MD) fractional anisotropy (FA) were compared the brains 13 (AD) a group aged‐matched control participants employing an optimized DTI technique involving fully automated, voxel‐based morphometric (VBM) analysis. Results After rigorous for anatomical variation confounding partial...

10.1002/jmri.21231 article EN Journal of Magnetic Resonance Imaging 2007-11-29

Spatial encoding in MR techniques is achieved by sampling the signal as a function of time presence magnetic field gradient. The gradients are assumed to generate linear gradient, and typical image reconstruction relies upon this approximation. However, high-speed current generation MRI scanners often sacrifice linearity for improvements speed. Such nonlinearity results distorted images. problem presented terms first principles, correction method based on gradient spherical harmonic...

10.1002/mrm.20122 article EN Magnetic Resonance in Medicine 2004-06-28

The Multi-modal Australian ScienceS Imaging and Visualisation Environment (MASSIVE) is a national imaging visualisation facility established by Monash University, the Synchrotron, Commonwealth Scientific Industrial Research Organisation (CSIRO), Victorian Partnership for Advanced Computing (VPAC), with funding from National Computational Infrastructure Government. MASSIVE provides hardware, software expertise to drive research in biomedical sciences, particularly advanced brain using...

10.3389/fninf.2014.00030 article EN cc-by Frontiers in Neuroinformatics 2014-03-27

It is often useful that an imaging data format can afford rich metadata, be flexible, scale to very large file sizes, support multi-modal data, and have strong inbuilt mechanisms for provenance. Beginning in 1992, MINC was developed as a system self-documenting representation of neuroscientific with arbitrary orientation dimensionality. The incorporates three broad components: specification, programming library, growing set tools. In the early 2000's developers created 2.0, which added...

10.3389/fninf.2016.00035 article EN cc-by Frontiers in Neuroinformatics 2016-08-11

Abstract This work describes the development of a model cerebral atrophic changes associated with progression Alzheimer's disease (AD). Linear registration, region‐of‐interest analysis, and voxel‐based morphometry methods have all been employed to elucidate observed at discrete intervals during process. In addition describing nature changes, modeling disease‐related via deformations can also provide information on temporal characteristics. order continuously AD, deformation maps from 21...

10.1002/mrm.1243 article EN Magnetic Resonance in Medicine 2001-10-01

Context Type 2 diabetes is associated with cerebral atrophy, cognitive impairment and dementia. We recently showed higher glucose levels in the normal range not to be free of adverse effects greater hippocampal amygdalar atrophy older community-dwelling individuals diabetes. Objective This study aimed determine whether blood (<6.1 mmol/L) were volumes structures other than hippocampus amygdale, these glucose-related regional performance. Design, Setting Participants 210 cognitively healthy...

10.1371/journal.pone.0073697 article EN cc-by PLoS ONE 2013-09-04

This paper describes the rationale and design of ENVIS-ion Study, which aims to determine whether low-dose aspirin reduces development white matter hyper-intense (WMH) lesions silent brain infarction (SBI). Additional include determining a) changes in retinal vascular imaging (RVI) parameters parallel magnetic resonance (MRI); b) RVI are observed with therapy; c) baseline cognitive function correlates MRI parameters; d) correlate e) factors such as age, gender or blood pressure influence...

10.1186/1471-2377-12-3 article EN cc-by BMC Neurology 2012-02-08

The brain plays a critical role in wide variety of functions including behaviour, perception, motor control, and homeostatic maintenance. Each function can undergo different selective pressures over the course evolution, as selection acts on outputs function, it necessarily alters structure brain. Two models have been proposed to explain evolutionary patterns observed morphology. concerted evolution model posits that evolves single unit regions are coordinated. mosaic evolve independently...

10.1159/000478738 article EN Brain Behavior and Evolution 2017-01-01

Magnetic resonance imaging (MRI) is an established technique for neuroanatomical analysis, being particularly useful in the medical sciences. However, application of MRI to evolutionary neuroscience still its infancy. Few magnetic brain atlases exist outside standard model organisms and no atlas has been produced any reptile brain. A detailed understanding reptilian anatomy necessary elucidate origin enigmatic structures such as cerebral cortex. Here, we present a representative squamate...

10.1002/cne.24480 article EN The Journal of Comparative Neurology 2018-06-22
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