User profiles for Caroline Matthis
 | Caroline MatthisPhD Student at BCCN Berlin - TU Berlin / Charité Berlin Verified email at ni.tu-berlin.de Cited by 187 |
[HTML][HTML] Promises, pitfalls, and basic guidelines for applying machine learning classifiers to psychiatric imaging data, with autism as an example
Most psychiatric disorders are associated with subtle alterations in brain function and are
subject to large interindividual differences. Typically, the diagnosis of these disorders requires …
subject to large interindividual differences. Typically, the diagnosis of these disorders requires …
Risk profiles for heavy drinking in adolescence: differential effects of gender
Abnormalities across different domains of neuropsychological functioning may constitute a
risk factor for heavy drinking during adolescence and for developing alcohol use disorders …
risk factor for heavy drinking during adolescence and for developing alcohol use disorders …
Cue‐induced effects on decision‐making distinguish subjects with gambling disorder from healthy controls
While an increased impact of cues on decision‐making has been associated with
substance dependence, it is yet unclear whether this is also a phenotype of non‐substance‐related …
substance dependence, it is yet unclear whether this is also a phenotype of non‐substance‐related …
Neural correlates of cue‐induced changes in decision‐making distinguish subjects with gambling disorder from healthy controls
In addiction, there are few human studies on the neural basis of cue‐induced changes in
value‐based decision making (Pavlovian‐to‐instrumental transfer, PIT). It is especially unclear …
value‐based decision making (Pavlovian‐to‐instrumental transfer, PIT). It is especially unclear …
[BOOK][B] Neurobehavioural patterns of alcohol abuse in adolescence
C Matthis - 2019 - search.proquest.com
Excessive alcohol consumption has a detrimental effect on public health. Alcohol abuse is a
top-ranked disorder of the brain with respect to total costs to economy and is linked to an …
top-ranked disorder of the brain with respect to total costs to economy and is linked to an …
[BOOK][B] Network dynamics of adaptive spiking neurons: Model reduction and numerical analysis
M Augustin - 2017 - search.proquest.com
The brain is a complex dynamical system. It can operate in many different states of neuronal
network activity and switch between them, depending on cognitive demands. To better …
network activity and switch between them, depending on cognitive demands. To better …
Network structure and transcriptomic vulnerability shape atrophy in frontotemporal dementia
Connections among brain regions allow pathological perturbations to spread from a single
source region to multiple regions. Patterns of neurodegeneration in multiple diseases, …
source region to multiple regions. Patterns of neurodegeneration in multiple diseases, …
Hierarchical spectral clustering reveals brain size and shape changes in asymptomatic carriers of C9orf72
R Bruffaerts, D Gors, A Bárcenas Gallardo… - Brain …, 2022 - academic.oup.com
Traditional methods for detecting asymptomatic brain changes in neurodegenerative diseases
such as Alzheimer’s disease or frontotemporal degeneration typically evaluate changes …
such as Alzheimer’s disease or frontotemporal degeneration typically evaluate changes …
Global network structure and local transcriptomic vulnerability shape atrophy in sporadic and genetic behavioral variant frontotemporal dementia
Connections among brain regions allow pathological perturbations to spread from a single
source region to multiple regions. Patterns of neurodegeneration in multiple diseases, …
source region to multiple regions. Patterns of neurodegeneration in multiple diseases, …
Data-driven algorithm for the diagnosis of behavioral variant frontotemporal dementia
INTRODUCTION Brain structural imaging is paramount for the diagnosis of behavioral variant
of frontotemporal dementia (bvFTD), but it has low sensitivity leading to erroneous or late …
of frontotemporal dementia (bvFTD), but it has low sensitivity leading to erroneous or late …