Dr  Anna Behler

Dr Anna Behler

Computational Neuroimaging Fellow

School of Psychological Sciences

Career Summary

Biography

I earned my M.Sc. in Physics from TU Dresden, Germany, where I specialized in exploring magnetic effects. After working as a research assistant and extended parental leave, I transitioned to the teaching side of academia by developing graduate-level courses on machine learning. Motivated by my passion for research and the enjoyment I derive from it, I came back to research, integrating my computational skill set with neuroimaging techniques. Eventually, I completed my Ph.D. at the Medical Centre of Ulm University, Germany, where I used computational techniques to optimise diffusion tensor imaging in the study of amyotrophic lateral sclerosis. I have recently moved to Australia and took on my first postdoctoral position with the Systems Neuroscience Group in Newcastle. My current research interests are multifaceted and focus on computational modeling and neuroimaging. Additionally, I'm interested in eye movements, as they are a straightforward yet potent window into brain function and neurophysiology.

Qualifications

  • Doctor of Human Biology, Ulm University - Germany
  • Master of Science (Physics), Technische Universitaet Dresden - Germany

Keywords

  • Computational modeling
  • Eye tracking
  • Neuroimaging

Languages

  • German (Mother)
  • English (Fluent)

Fields of Research

Code Description Percentage
520203 Cognitive neuroscience 50
320904 Computational neuroscience (incl. mathematical neuroscience and theoretical neuroscience) 50

Professional Experience

UON Appointment

Title Organisation / Department
Computational Neuroimaging Fellow University of Newcastle
School of Psychological Sciences
Australia
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Journal article (20 outputs)

Year Citation Altmetrics Link
2023 Behler A, Müller HP, Ludolph AC, Kassubek J, 'Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis: Machine Learning for Biomarker Development', International Journal of Molecular Sciences, 24 (2023) [C1]

Diffusion tensor imaging (DTI) allows the in vivo imaging of pathological white matter alterations, either with unbiased voxel-wise or hypothesis-guided tract-based analysis. Alte... [more]

Diffusion tensor imaging (DTI) allows the in vivo imaging of pathological white matter alterations, either with unbiased voxel-wise or hypothesis-guided tract-based analysis. Alterations of diffusion metrics are indicative of the cerebral status of patients with amyotrophic lateral sclerosis (ALS) at the individual level. Using machine learning (ML) models to analyze complex and high-dimensional neuroimaging data sets, new opportunities for DTI-based biomarkers in ALS arise. This review aims to summarize how different ML models based on DTI parameters can be used for supervised diagnostic classifications and to provide individualized patient stratification with unsupervised approaches in ALS. To capture the whole spectrum of neuropathological signatures, DTI might be combined with additional modalities, such as structural T1w 3-D MRI in ML models. To further improve the power of ML in ALS and enable the application of deep learning models, standardized DTI protocols and multi-center collaborations are needed to validate multimodal DTI biomarkers. The application of ML models to multiparametric MRI/multimodal DTI-based data sets will enable a detailed assessment of neuropathological signatures in patients with ALS and the development of novel neuroimaging biomarkers that could be used in the clinical workup.

DOI 10.3390/ijms24031911
Citations Scopus - 10Web of Science - 4
2023 Becker W, Behler A, Vintonyak O, Kassubek J, 'Patterns of small involuntary fixation saccades (SIFSs) in different neurodegenerative diseases: the role of noise', Experimental Brain Research, 241 1821-1833 (2023) [C1]
DOI 10.1007/s00221-023-06633-6
Citations Scopus - 1
2023 Müller H-P, Behler A, Münch M, Dorst J, Ludolph AC, Kassubek J, 'Sequential alterations in diffusion metrics as correlates of disease severity in amyotrophic lateral sclerosis', Journal of Neurology, 270 2308-2313 (2023) [C1]
DOI 10.1007/s00415-023-11582-9
2022 Behler A, Müller H-P, Ludolph AC, Lulé D, Kassubek J, 'A multivariate Bayesian classification algorithm for cerebral stage prediction by diffusion tensor imaging in amyotrophic lateral sclerosis', NeuroImage: Clinical, 35 (2022) [C1]
DOI 10.1016/j.nicl.2022.103094
Citations Scopus - 8
2022 Behler A, Müller H-P, Del Tredici K, Braak H, Ludolph AC, Lulé D, Kassubek J, 'Multimodal in vivo staging in amyotrophic lateral sclerosis using artificial intelligence.', Ann Clin Transl Neurol, 9 1069-1079 (2022) [C1]
DOI 10.1002/acn3.51601
Citations Scopus - 6Web of Science - 4
2022 Münch M, Müller H-P, Behler A, Ludolph AC, Kassubek J, 'Segmental alterations of the corpus callosum in motor neuron disease: A DTI and texture analysis in 575 patients.', Neuroimage Clin, 35 103061 (2022) [C1]
DOI 10.1016/j.nicl.2022.103061
Citations Scopus - 9Web of Science - 4
2022 Kassubek R, Weinstock D, Behler A, Müller H-P, Dupuis L, Kassubek J, Ludolph AC, 'Morphological alterations of the hypothalamus in idiopathic intracranial hypertension', Therapeutic Advances in Chronic Disease, 13 204062232211413-204062232211413 (2022) [C1]
DOI 10.1177/20406223221141354
Citations Scopus - 3
2022 Kocar TD, Behler A, Leinert C, Denkinger M, Ludolph AC, Müller H-P, Kassubek J, 'Artificial neural networks for non-linear age correction of diffusion metrics in the brain', Frontiers in Aging Neuroscience, 14 [C1]
DOI 10.3389/fnagi.2022.999787
Citations Scopus - 2
2022 Behler A, Lulé D, Ludolph AC, Kassubek J, Müller H-P, 'Longitudinal monitoring of amyotrophic lateral sclerosis by diffusion tensor imaging: Power calculations for group studies', Frontiers in Neuroscience, 16 [C1]
DOI 10.3389/fnins.2022.929151
Citations Scopus - 1
2021 Müller H-P, Behler A, Landwehrmeyer GB, Huppertz H-J, Kassubek J, 'How to Arrange Follow-Up Time-Intervals for Longitudinal Brain MRI Studies in Neurodegenerative Diseases.', Front Neurosci, 15 682812 (2021)
DOI 10.3389/fnins.2021.682812
Citations Scopus - 3Web of Science - 2
2021 Behler A, Kassubek J, Müller H-P, 'Age-Related Alterations in DTI Metrics in the Human Brain-Consequences for Age Correction.', Front Aging Neurosci, 13 682109 (2021) [C1]
DOI 10.3389/fnagi.2021.682109
Citations Scopus - 29Web of Science - 23
2021 Kocar TD, Behler A, Ludolph AC, Müller H-P, Kassubek J, 'Multiparametric Microstructural MRI and Machine Learning Classification Yields High Diagnostic Accuracy in Amyotrophic Lateral Sclerosis: Proof of Concept.', Front Neurol, 12 745475 (2021) [C1]
DOI 10.3389/fneur.2021.745475
Citations Scopus - 12Web of Science - 9
2021 Müller H-P, Lulé D, Roselli F, Behler A, Ludolph AC, Kassubek J, 'Segmental involvement of the corpus callosum in C9orf72-associated ALS: a tract of interest-based DTI study.', Ther Adv Chronic Dis, 12 20406223211002969 (2021) [C1]
DOI 10.1177/20406223211002969
Citations Scopus - 11Web of Science - 8
2021 Behler A, Knehr A, Finsel J, Kunz MS, Lang C, Müller K, et al., 'Eye movement alterations in presymptomatic C9orf72 expansion gene carriers.', J Neurol, 268 3390-3399 (2021) [C1]
DOI 10.1007/s00415-021-10510-z
Citations Scopus - 9Web of Science - 7
2021 Wunderlich J, Behler A, Dreyhaupt J, Ludolph AC, Pinkhardt EH, Kassubek J, 'Diagnostic value of video-oculography in progressive supranuclear palsy: a controlled study in 100 patients.', J Neurol, 268 3467-3475 (2021) [C1]
DOI 10.1007/s00415-021-10522-9
Citations Scopus - 5Web of Science - 5
2015 Teichert N, Boehnke A, Behler A, Weise B, Waske A, Hütten A, 'Exchange bias effect in martensitic epitaxial Ni-Mn-Sn thin films applied to pin CoFeB/MgO/CoFeB magnetic tunnel junctions', Applied Physics Letters, 106 (2015)

The exchange bias effect is commonly used to shift the coercive field of a ferromagnet. This technique is crucial for the use of magnetic tunnel junctions as logic or memory devic... [more]

The exchange bias effect is commonly used to shift the coercive field of a ferromagnet. This technique is crucial for the use of magnetic tunnel junctions as logic or memory devices. Therefore, an independent switching of the two ferromagnetic electrodes is necessary to guarantee a reliable readout. Here, we demonstrate that the intrinsic exchange bias effect of Ni-Mn-Sn can be used to apply a unidirectional anisotropy to magnetic tunnel junctions. For this, we use epitaxial Ni-Mn-Sn films as pinning layers for microfabricated CoFeB/MgO/CoFeB magnetic tunnel junctions. We compare the exchange bias field (HEB) measured after field cooling in -10 kOe external field by magnetization measurements with HEB obtained from tunnel magnetoresistance measurements. Consistent for both methods, we find an exchange bias of about HEB=130 Oe at 10 K, which decreases with increasing temperature and vanishes above 70 K.

DOI 10.1063/1.4921080
Citations Scopus - 15
2015 Teichert N, Kucza D, Yildirim O, Yuzuak E, Dincer I, Behler A, et al., 'Structure and giant inverse magnetocaloric effect of epitaxial Ni-Co-Mn-Al films', Physical Review B - Condensed Matter and Materials Physics, 91 (2015)

The structural, magnetic, and magnetocaloric properties of epitaxial Ni-Co-Mn-Al thin films with different compositions have been studied. The films were deposited on MgO(001) sub... [more]

The structural, magnetic, and magnetocaloric properties of epitaxial Ni-Co-Mn-Al thin films with different compositions have been studied. The films were deposited on MgO(001) substrates by co-sputtering on heated substrates. All films show a martensitic transformation, where the transformation temperatures are strongly dependent on the composition. The structure of the martensite phase is shown to be 14M. The metamagnetic martensitic transformation occurs from strongly ferromagnetic austenite to weakly magnetic martensite. The structural properties of the films were investigated by atomic force microscopy and temperature dependent x-ray diffraction. Magnetic and magnetocaloric properties were analyzed using temperature dependent and isothermal magnetization measurements. We find that Ni41Co10.4Mn34.8Al13.8 films show giant inverse magnetocaloric effects with magnetic entropy change of 17.5 J kg-1K-1 for µ0¿H=5 T.

DOI 10.1103/PhysRevB.91.184405
Citations Scopus - 36
2015 Nayak S, Thota S, Joshi DC, Krautz M, Waske A, Behler A, et al., 'Magnetic compensation, field-dependent magnetization reversal, and complex magnetic ordering in Co2TiO4', Physical Review B - Condensed Matter and Materials Physics, 92 (2015)

The complex nature of magnetic ordering in the spinel Co2TiO4 is investigated by analyzing the temperature and magnetic field dependence of its magnetization (M), specific heat (C... [more]

The complex nature of magnetic ordering in the spinel Co2TiO4 is investigated by analyzing the temperature and magnetic field dependence of its magnetization (M), specific heat (Cp), and ac magnetic susceptibilities ¿' and ¿¿. X-ray diffraction of the sample synthesized by the solid-state reaction route confirmed the spinel structure whereas x-ray photoelectron spectroscopy shows its electronic structure to be Co2TiO4=[Co2+][Co3+Ti3+]O4. From analysis of the temperature dependence of the dc paramagnetic susceptibility, the magnetic moments µ(A)=3.87µB and µ(B)=5.19µB on the A and B sites are determined with µ(B) in turn yielding µ(Ti3+)=1.73µB and µ(Co3+)=4.89µB. Analysis of the dc and ac susceptibilities combined with the weak anomalies observed in the Cp vs T data shows the existence of a quasi-long-range ferrimagnetic state below TN~47.8K and a compensation temperature Tcomp~32K, the latter characterized by sign reversal of magnetization with its magnitude depending on the applied magnetic field and the cooling protocol. Analysis of the temperature dependence of M (field cooled) and M (zero field cooled) data and the hysteresis loop parameters is interpreted in terms of large spin clusters. These results in Co2TiO4, significantly different from those reported recently in isostructural Co2SnO4=[Co2+][Co2+Sn4+]O4, warrant further investigations of its magnetic structure using neutron diffraction.

DOI 10.1103/PhysRevB.92.214434
Citations Scopus - 47
2015 Dutta B, Hickel T, Neugebauer J, Behler C, Fähler S, Behler A, et al., 'Interplay of strain and interdiffusion in Heusler alloy bilayers', Physica Status Solidi - Rapid Research Letters, 9 321-325 (2015)

Combining conventional and inverse magnetocaloric materials promises to enhance solid state refrigeration. As a first step here we present epitaxial Ni-Mn-Ga/Ni-Mn-Sn bilayer film... [more]

Combining conventional and inverse magnetocaloric materials promises to enhance solid state refrigeration. As a first step here we present epitaxial Ni-Mn-Ga/Ni-Mn-Sn bilayer films. We examine the dependence of the lateral and normal lattice constants on the deposition sequence by combining experimental and ab initio techniques. Structural properties are determined with X-ray diffraction as well as highresolution transmission electron microscopy, while ab initio calculations explain the interplay of strain, local relaxations and the interdiffusion of atoms. The latter is confirmed by Auger electron spectroscopy and is expected to have a noticeable impact on the functional properties of the Heusler materials. (

DOI 10.1002/pssr.201510070
Citations Scopus - 5
2013 Behler A, Teichert N, Dutta B, Waske A, Hickel T, Auge A, et al., 'Thickness dependent exchange bias in martensitic epitaxial Ni-Mn-Sn thin films', AIP Advances, 3 (2013)

A thickness dependent exchange bias in the low temperature martensitic state of epitaxial Ni-Mn-Sn thin films is found. The effect can be retained down to very small thicknesses. ... [more]

A thickness dependent exchange bias in the low temperature martensitic state of epitaxial Ni-Mn-Sn thin films is found. The effect can be retained down to very small thicknesses. For a Ni50Mn32Sn18 thin film, which does not undergo a martensitic transformation, no exchange bias is observed. Our results suggest that a significant interplay between ferromagnetic and antiferromagnetic regions, which is the origin for exchange bias, is only present in the martensite. The finding is supported by ab initio calculations showing that the antiferromagnetic order is stabilized in the phase. © 2013 Author(s).

DOI 10.1063/1.4849795
Citations Scopus - 17
Show 17 more journal articles

Conference (1 outputs)

Year Citation Altmetrics Link
2015 Teichert N, Kucza D, Yildirim O, Hetaba W, Behler A, Yüzüak E, et al., 'Structure and giant inverse magnetocaloric effect of epitaxial Ni-Co-Mn-Al films', 2015 IEEE International Magnetics Conference, INTERMAG 2015 (2015)

In the ongoing search for magnetocaloric materials, Heusler compound based ferromagnetic shape memory alloys (FSMA) of the system Ni-Mn-Z (Z=Sb, Ga, In, Sn) turned out to be very ... [more]

In the ongoing search for magnetocaloric materials, Heusler compound based ferromagnetic shape memory alloys (FSMA) of the system Ni-Mn-Z (Z=Sb, Ga, In, Sn) turned out to be very promising due to low cost of the containing elements and sizable magnetocaloric effects (MCE).[1] Substitution of Ni against Co in Ni-Mn-Z is known to improve the metamagnetic behavior of the martensitic transition, and thus the magnetocaloric properties as it increases the austenite Curie temperature TCA and leads to a transition from weak magnetic martensite to ferromagnetic austenite. Off-stoi-chiometric Ni-Mn-Al also shows a martensitic transition but accompanied by only small changes in the magnetization and hence neglectable MCE.[2] Substitution of up to 10at.% Co for Ni strongly promotes the ferromagnetism in the austenite phase and leads to a metamagnetic martensitic transition.[3] The magnetization difference between austenite and martensite enables magnetic field induced reverse transition together with an inverse magnetocaloric effect.

DOI 10.1109/INTMAG.2015.7157656
Citations Scopus - 1

Preprint (1 outputs)

Year Citation Altmetrics Link
2023 Faucher C, Behler A, Campbell M, Thienel R, 'Effect of Brief Dog-Assisted Interventions on Stress Biomarkers: A Systematic Review (2023)
DOI 10.1101/2023.12.10.23299796
Co-authors Megan Campbell, Renate Thienel

Thesis / Dissertation (1 outputs)

Year Citation Altmetrics Link
2023 Behler A, Numerical-statistical methods for an optimized analysis of diffusion tensor imaging data: applications to amyotrophic lateral sclerosis., Ulm University (2023)
DOI 10.18725/OPARU-48114
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Dr Anna Behler

Position

Computational Neuroimaging Fellow
School of Psychological Sciences
College of Engineering, Science and Environment

Contact Details

Email anna.behler@newcastle.edu.au
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