Simon B. Eickhoff
YOU?
Author Swipe
View article: White Matter Bundle Reconstruction From Single‐Shell Diffusion Magnetic Resonance Imaging: Test–Retest Reliability and Predictive Capability Across Orientation Distribution Function Reconstruction Methods
White Matter Bundle Reconstruction From Single‐Shell Diffusion Magnetic Resonance Imaging: Test–Retest Reliability and Predictive Capability Across Orientation Distribution Function Reconstruction Methods Open
Deriving white matter (WM) bundles in vivo has thus far mainly been applied in research settings, leveraging high angular resolution, multi‐shell diffusion MRI (dMRI) acquisitions that enable modern reconstruction methods. However, these a…
View article: Cardiometabolic health and physical robustness map onto distinct patterns of brain structure and neurotransmitter systems
Cardiometabolic health and physical robustness map onto distinct patterns of brain structure and neurotransmitter systems Open
The link between brain health and risk/protective factors for non-communicable diseases (such as high blood pressure, high body mass index, diet, smoking, physical activity, etc.) is increasingly acknowledged. However, the specific effects…
View article: Unveiling the Multifaceted Networks of the Left DLPFC for Precision TMS Targeting
Unveiling the Multifaceted Networks of the Left DLPFC for Precision TMS Targeting Open
The left dorsolateral prefrontal cortex (lDLPFC) is the standard target for transcranial magnetic stimulation (TMS) to ameliorate treatment-resistant depression (TRD), yet non-response rates remain high. TMS efficacy has been linked to the…
View article: Multimodal neuroimaging data boosts the prediction of multifaceted cognition
Multimodal neuroimaging data boosts the prediction of multifaceted cognition Open
Relating individual brain patterns to behavioural phenotypes through predictive modelling has been increasingly popular. Several recent studies have focused on the fundamental challenge of improving behavioural prediction based on individu…
View article: Mapping neurophysiological and molecular profiles of heterogeneity and homogeneity in schizophrenia-bipolar disorder
Mapping neurophysiological and molecular profiles of heterogeneity and homogeneity in schizophrenia-bipolar disorder Open
The heterogeneity of psychotic disorders leads to instability in subjectively defined diagnoses. This study used a machine learning framework termed common orthogonal basis extraction (COBE) to decompose electroencephalography-based functi…
View article: Pitfalls in using ML to predict cognitive function performance
Pitfalls in using ML to predict cognitive function performance Open
Machine learning analyses are widely used for predicting cognitive abilities, yet there are pitfalls that need to be considered during their implementation and interpretation of the results. Hence, the present study aimed at drawing attent…
View article: A bias-accounting meta-analytic approach refines and expands the cerebellar behavioral topography
A bias-accounting meta-analytic approach refines and expands the cerebellar behavioral topography Open
The cerebellum plays important roles in motor, cognitive, and emotional behaviors. Previous cerebellar coordinate-based meta-analyses (CBMAs) have complemented precision-mapping and parcellation approaches by finding generalizable cerebell…
View article: Scoliosis Surgery in a Patient With Advanced Friedreich's Ataxia—It Is Not Too Late
Scoliosis Surgery in a Patient With Advanced Friedreich's Ataxia—It Is Not Too Late Open
Friedreich's ataxia is a multisystem disorder with scoliosis being the most common non‐neurological manifestation. While scoliosis surgery is typically performed in adolescent, ambulatory patients, few data exist on surgical outcomes in pa…
View article: Multimodal Neuroimaging Signature of Sleep Problems Predicts Preadolescent Mental Health Trajectories
Multimodal Neuroimaging Signature of Sleep Problems Predicts Preadolescent Mental Health Trajectories Open
Sleep-related problems (SRP) in childhood are common and clinically relevant yet their underlying neural mechanisms and links to future mental health outcomes remain poorly understood. Here, we investigated how distinct dimensions of SRP r…
View article: Local activity alterations in individuals with autism correlate with neurotransmitter properties and ketamine-induced brain changes
Local activity alterations in individuals with autism correlate with neurotransmitter properties and ketamine-induced brain changes Open
Autism is a neurodevelopmental condition associated with altered resting-state brain function. An increased excitation-inhibition ratio is discussed as a pathomechanism but in-vivo evidence of disturbed neurotransmission underlying functio…
View article: Benchmarking Orientation Distribution Function Estimation Methods for Tractometry in Single-Shell Diffusion Magnetic Resonance Imaging - An Evaluation of Test-Retest Reliability and Predictive Capability
Benchmarking Orientation Distribution Function Estimation Methods for Tractometry in Single-Shell Diffusion Magnetic Resonance Imaging - An Evaluation of Test-Retest Reliability and Predictive Capability Open
Deriving white matter (WM) bundles in-vivo has thus far mainly been applied in research settings, leveraging high angular resolution, multi-shell diffusion MRI (dMRI) acquisitions that enable advanced reconstruction methods. However, these…
View article: Overview of Challenges in Brain-Based Predictive Modeling: Toward Meaningful Predictive Insights
Overview of Challenges in Brain-Based Predictive Modeling: Toward Meaningful Predictive Insights Open
Predictive analytics based on machine learning (ML) and artificial intelligence is a powerful tool enabling precision psychiatry and providing insights into brain-behavior relationships. However, given the mixed results observed in the fie…
View article: Voxel‐Wise or Region‐Wise Nuisance Regression for Functional Connectivity Analyses: Does It Matter?
Voxel‐Wise or Region‐Wise Nuisance Regression for Functional Connectivity Analyses: Does It Matter? Open
Removal of nuisance signals (such as motion) from the BOLD time series is an important aspect of preprocessing to obtain meaningful resting‐state functional connectivity (rs‐FC). The nuisance signals are commonly removed using denoising pr…
View article: Disentangling the influences of pre- and postnatal periods on human cortical microstructure
Disentangling the influences of pre- and postnatal periods on human cortical microstructure Open
During late gestation and early postnatal development a combination of intrinsic and extrinsic factors drive the maturation of the human cortex. This process is regionally heterogeneous, with cortical areas developing at different paces an…
View article: Neurobiological correlates of schizophrenia-specific and highly pleiotropic genetic risk scores for neuropsychiatric disorders
Neurobiological correlates of schizophrenia-specific and highly pleiotropic genetic risk scores for neuropsychiatric disorders Open
Neuropsychiatric disorders show shared and distinct neurobiological correlates. A cross-disorder genome-wide association study (GWAS) identified 23 highly pleiotropic single-nucleotide polymorphisms (SNPs) that were associated with at leas…
View article: Prediction of suicide using web based voice recordings analyzed by artificial intelligence
Prediction of suicide using web based voice recordings analyzed by artificial intelligence Open
The integration of machine learning (ML) and deep learning models in suicide risk assessment has advanced significantly in recent years. In this study, we utilized ML in a case-control design, we predicted completed suicides using publicly…
View article: Predicting Brain Volumes from Anthropometric and Demographic Features: Insights from UK Biobank Neuroimaging Data
Predicting Brain Volumes from Anthropometric and Demographic Features: Insights from UK Biobank Neuroimaging Data Open
Brain size measures are well-studied and often treated as a confound in volumetric neuroimaging analyses. Yet their relationship with body anthropometric measures and demographics remains underexplored. In this study, we examined those rel…
View article: How is self-reported sleep-disordered breathing linked with biomarkers of Alzheimer’s disease?
How is self-reported sleep-disordered breathing linked with biomarkers of Alzheimer’s disease? Open
Sleep-disordered breathing (SDB) is prevalent in Alzheimer's disease (AD). Here, we assessed how self-reported SDB is linked with AD biomarkers, including amyloid-beta plaque burden (Aβ), regional fluorodeoxyglucose uptake (rFDG-PET), grey…
View article: Beyond volume: Unraveling the genetics of human brain geometry
Beyond volume: Unraveling the genetics of human brain geometry Open
Brain geometry affects brain function. A quantitative encoding of form is provided by the Laplace-Beltrami operator’s spectrum of eigenvalues (LBS). We examined LBS genetics of 22 subcortical brain structures and cerebellum in 19,862 healt…
View article: What predicts individual brain health?: a machine learning study spanning the exposome
What predicts individual brain health?: a machine learning study spanning the exposome Open
Promoting brain health is vital for well-being and reducing healthcare burdens. Individual brain health as measured with the Brain Age Gap (BAG) - the difference between chronological and predicted brain age- relates to many factors. Howev…
View article: Adolescent maturation of cortical excitation-inhibition ratio based on individualized biophysical network modeling
Adolescent maturation of cortical excitation-inhibition ratio based on individualized biophysical network modeling Open
The excitation-inhibition ratio is a key functional property of cortical microcircuits which changes throughout an individual’s lifespan. Adolescence is considered a critical period for maturation of excitation-inhibition ratio. This has p…
View article: Overview of leakage scenarios in supervised machine learning
Overview of leakage scenarios in supervised machine learning Open
Machine learning (ML) provides powerful tools for predictive modeling. ML’s popularity stems from the promise of sample-level prediction with applications across a variety of fields from physics and marketing to healthcare. However, if not…
View article: Exploring dynamical whole-brain models in high-dimensional parameter spaces
Exploring dynamical whole-brain models in high-dimensional parameter spaces Open
Personalized modeling of the resting-state brain activity implies the usage of dynamical whole-brain models with high-dimensional model parameter spaces. However, the practical benefits and mathematical challenges originating from such app…
View article: The effects of childhood adversity: Two specific neural patterns
The effects of childhood adversity: Two specific neural patterns Open
Childhood adversity (CA) is associated with an elevated risk of psychopathology across the lifespan and altered brain functions are thought to play an important role in linking CA to mental vulnerability. Previous research has proposed tha…