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Background Flail arm syndrome is a restricted phenotype of motor neuron disease that is characterized by progressive, predominantly proximal weakness and atrophy of the upper limbs. Objective The study was designed to investigate specific white matter alterations in diffusion tensor imaging (DTI) data from flail arm syndrome patients using a hypothesis-guided tract-of-interest-based approach to identify in vivo microstructural changes according to a neuropathologically defined amyotrophic lateral sclerosis (ALS)-related pathology of the cortico-efferent tracts. Methods DTI-based white matter mapping was performed both by an unbiased voxel-wise statistical comparison and by a hypothesis-guided tract-wise analysis of fractional anisotropy (FA) maps according to the neuropathological ALS-propagation pattern for 43 flail arm syndrome patients vs 43 ‘classical’ ALS patients vs 40 matched controls. Results The analysis of white matter integrity demonstrated regional FA reductions for the flail arm syndrome group predominantly along the CST. In the tract-specific analysis according to the proposed sequential cerebral pathology pattern of ALS, the flail arm syndrome patients showed significant alterations of the specific tract systems that were identical to ‘classical’ ALS if compared to controls. Conclusions The DTI study including the tract-of-interest-based analysis showed a microstructural involvement pattern in the brains of flail arm syndrome patients, supporting the hypothesis that flail arm syndrome is a phenotypical variant of ALS.

A recent staging effort for amyotrophic lateral sclerosis (ALS) has demonstrated that the TDP-43 neuropathology may initiate focally in the motor cortex in the majority of patients. We searched our data bank for patients with lesions of the motor cortex which preceded disease onset. We performed a search of our patient- and MRI-data bank and screened 1,835 patients with amyotrophic lateral sclerosis for frontal lobe/motor cortex lesions. We found 18 patients with definite ALS who had documented and defined lesions of the motor cortex, which preceded the initial ALS symptoms by 8–42 years. In the vast majority (15/18) of the patients, the onset of ALS was closely related to the focal lesion since it started in a body region reflecting the damaged cortical area. The findings suggest that initial lesions to the motor cortex may be a contributing initiating factor in some patients with ALS or determine the site of onset in individuals pre-disposed to ALS.

The aim of this work was to evaluate the relationship between ipsilateral amygdala dysfunction in unilateral mesial temporal lobe epilepsy (MTLE) and remote temporal, frontal, and parietal brain structures and to identify their association with theory of mind (ToM) abilities. Functional magnetic resonance imaging (fMRI) data were acquired from MTLE patients with unilateral hippocampal sclerosis (n = 28; 16 left-sided) and healthy controls (HC, n = 18) watching an animated fearful face paradigm. To explore functional connectivity, we used independent component analysis (ICA) of fMRI data to characterize possible amygdala network alterations that may be caused by lateralized amygdala dysfunction. We furthermore investigated the relationship between activation within the amygdala network and ToM task performance. The pattern of amygdalar BOLD activation observed in response to an animated fearful face paradigm was bilateral amygdalar activation in HC and amygdala activation lateralized to the contralateral side in MTLE patients. In HC, a hemispheric asymmetry of the amygdala network was present with amygdala co-activation in predominantly left temporolateral and frontal brain structures. In MTLE patients, the observed asymmetry of amygdala connectivity was modulated by the side of pathology and the extent of amygdalar connectivity to the parahippocampal gyrus and insula was related to ToM test performance. These findings suggest that ipsilateral amygdalar dysfunction in MTLE is associated with alterations in remote temporal and frontal brain areas. The study of psychiatric and neurological disorders via network analysis allows for a shift of focus away from viewing dysfunctions of individual structures to a pathological network that possibly gives rise to a variety of symptoms.