To be diagnostically useful, structural MRI must reliably distinguish Alzheimer's disease (AD)
from normal aging in individual scans. Recent advances in statistical learning theory have …

Detailed knowledge of the anatomy and connectivity pattern of cortico-basal ganglia circuits
is essential to an understanding of abnormal cortical function and pathophysiology …

Introduction Subjective cognitive decline (SCD) manifesting before clinical impairment
could serve as a target population for early intervention trials in Alzheimer's disease (AD). A …

Hintergrund: Demenz und Alzheimer-Krankheit werden oft synonym verwendet. Die Demenz
ist ein klinisches Syndrom mit dem Kernsymptom Gedächtnisstörung, das zu über 75 …

The early identification of brain anatomy deviating from the normal pattern of growth and
atrophy, such as in Alzheimer's disease (AD), has the potential to improve clinical outcomes …

Alzheimer’s disease (AD), the most common form of dementia, shares many aspects of
abnormal brain aging. We present a novel magnetic resonance imaging (MRI)-based biomarker …

Objective: Age at onset of diagnostic motor manifestations in Huntington disease (HD) is
strongly correlated with an expanded CAG trinucleotide repeat. The length of the normal CAG …

There has been recent interest in the application of machine learning techniques to
neuroimaging-based diagnosis. These methods promise fully automated, standard PC-based …

In the last decade, combined transcranial magnetic stimulation (TMS)-neuroimaging studies
have greatly stimulated research in the field of TMS and neuroimaging. Here, we review …

Fully automated classification algorithms have been successfully applied to diagnose a wide
range of neurological and psychiatric diseases. They are sufficiently robust to handle data …