scholarly journals Identifying a Common Functional Framework for Apathy Large-Scale Brain Network

2021 ◽  
Vol 11 (7) ◽  
pp. 679
Author(s):  
Vincenzo Alfano ◽  
Mariachiara Longarzo ◽  
Giulia Mele ◽  
Marcello Esposito ◽  
Marco Aiello ◽  
...  

Apathy is a neuropsychiatric condition characterized by reduced motivation, initiative, and interest in daily life activities, and it is commonly reported in several neurodegenerative disorders. The study aims to investigate large-scale brain networks involved in apathy syndrome in patients with frontotemporal dementia (FTD) and Parkinson’s disease (PD) compared to a group of healthy controls (HC). The study sample includes a total of 60 subjects: 20 apathetic FTD and PD patients, 20 non apathetic FTD and PD patients, and 20 HC matched for age. Two disease-specific apathy-evaluation scales were used to measure the presence of apathy in FTD and PD patients; in the same day, a 3T brain magnetic resonance imaging (MRI) with structural and resting-state functional (fMRI) sequences was acquired. Differences in functional connectivity (FC) were assessed between apathetic and non-apathetic patients with and without primary clinical diagnosis revealed, using a whole-brain, seed-to-seed approach. A significant hypoconnectivity between apathetic patients (both FTD and PD) and HC was detected between left planum polare and both right pre- or post-central gyrus. Finally, to investigate whether such neural alterations were due to the underlying neurodegenerative pathology, we replicated the analysis by considering two independent patients’ samples (i.e., non-apathetic PD and FTD). In these groups, functional differences were no longer detected. These alterations may subtend the involvement of neural pathways implicated in a specific reduction of information/elaboration processing and motor outcome in apathetic patients.

2018 ◽  
Vol 33 (11) ◽  
pp. 713-717 ◽  
Author(s):  
Afnan AlGhamdi ◽  
Muhammad Talal Alrifai ◽  
Abdullah I. Al Hammad ◽  
Fuad Al Mutairi ◽  
Abdulrahman Alswaid ◽  
...  

Propionic acidemia is an inborn error of metabolism that is inherited in an autosomal recessive manner. It is characterized by a deficient propionyl-CoA carboxylase due to mutations in either of its beta or alpha subunits. In the literature, there is a clear association between propionic acidemia and epilepsy. In this cohort, we retrospectively reviewed the data of 14 propionic acidemia patients in Saudi Arabia and compared the findings to those of former studies. Six of the 14 (43%) patients developed epileptic seizure, mainly focal seizures. All patients were responsive to conventional antiepileptic drugs as their seizures are controlled. The predominant electroencephalographic (EEG) findings were diffuse slowing in 43% and multifocal epileptiform discharges in 14% of the patients. In 1 patient, burst suppression pattern was detected, a pattern never before reported in patients with propionic acidemia. Brain magnetic resonance imaging (MRI) findings mainly consisted of signal changes of the basal ganglia (36%), generalized brain atrophy (43%), and delayed myelination (43%).The most common genotype in our series is the homozygous missense mutation in the PCCA gene (c.425G>A; p. Gly142Asp). However, there is no clear genotype–seizure correlation. We conclude that seizure is not an uncommon finding in patients with propionic acidemia and not difficult to control. Additional studies are needed to further elaborate on genotype–seizure correlation.


2020 ◽  
Author(s):  
Jafar Zamani ◽  
Ali Sadr ◽  
Amir-Homayoun Javadi

AbstractBackgroundAlzheimer’s disease (AD) is a neurodegenerative disease that leads to anatomical atrophy, as evidenced by magnetic resonance imaging (MRI). Automated segmentation methods are developed to help with the segmentation of different brain areas. However, their reliability has yet to be fully investigated. To have a more comprehensive understanding of the distribution of changes in AD, as well as investigating the reliability of different segmentation methods, in this study we compared volumes of cortical and subcortical brain segments, using automated segmentation methods in more than 60 areas between AD and healthy controls (HC).MethodsA total of 44 MRI images (22 AD and 22 HC, 50% females) were taken from the minimal interval resonance imaging in Alzheimer’s disease (MIRIAD) dataset. HIPS, volBrain, CAT and BrainSuite segmentation methods were used for the subfields of hippocampus, and the rest of the brain.ResultsWhile HIPS, volBrain and CAT showed strong conformity with the past literature, BrainSuite misclassified several brain areas. Additionally, the volume of the brain areas that successfully discriminated between AD and HC showed a correlation with mini mental state examination (MMSE) scores. The two methods of volBrain and CAT showed a very strong correlation. These two methods, however, did not correlate with BrainSuite.ConclusionOur results showed that automated segmentation methods HIPS, volBrain and CAT can be used in the classification of AD and HC. This is an indication that such methods can be used to inform researchers and clinicians of underlying mechanisms and progression of AD.


2016 ◽  
Vol 7 (01) ◽  
pp. 83-86 ◽  
Author(s):  
Emine Caliskan ◽  
Yeliz Pekcevik ◽  
Adnan Kaya

ABSTRACT Purpose: To evaluate the contribution of conventional brain magnetic resonance imaging (MRI) for the determination of intracranial aneurysms. Materials and Methods: Brain MRI and computed tomography angiography (CTA) of 45 patients (29 women and 16 men; age range, 32–80 years) with aneurysm were analyzed. A comparison was made between brain MRI and CTA based on size and presence of aneurysm. The comparisons between MRI and CTA were investigated through Bland-Altman graphics, receiver operating characteristic curve, and Kappa statistics. Results: Fifty-seven aneurysms were evaluated. Forty-five percent of 57 aneurysms on CTA were detected on conventional brain MRI. A significant correlation was found between CTA and brain MRI in the diagnosis of aneurysm (P < 0.05). In an analysis of the size measurement, a significant correlation was observed between CTA and brain MRI. Seventy-seven percent of aneurysms <4 mm was not detected and the efficiency of MRI in the detection of aneurysms <4 mm was found to be low. Conclusion: Aneurysms can also be appreciated on conventional brain MRI, and vascular structures should be reviewed carefully while analyzing brain MRI.


2007 ◽  
Vol 48 (7) ◽  
pp. 755-762 ◽  
Author(s):  
A. Aalto ◽  
J. Sjöwall ◽  
L. Davidsson ◽  
P. Forsberg ◽  
Ö. Smedby

Background: Borrelia infections, especially chronic neuroborreliosis (NB), may cause considerable diagnostic problems. This diagnosis is based on symptoms and findings in the cerebrospinal fluid but is not always conclusive. Purpose: To evaluate brain magnetic resonance imaging (MRI) in chronic NB, to compare the findings with healthy controls, and to correlate MRI findings with disease duration. Material and Methods: Sixteen well-characterized patients with chronic NB and 16 matched controls were examined in a 1.5T scanner with a standard head coil. T1- (with and without gadolinium), T2-, and diffusion-weighted imaging plus fluid-attenuated inversion recovery (FLAIR) imaging were used. Results: White matter lesions and lesions in the basal ganglia were seen in 12 patients and 10 controls (no significant difference). Subependymal lesions were detected in patients down to the age of 25 and in the controls down to the age of 43. The number of lesions was correlated to age both in patients (ρ = 0.83, P<0.01) and in controls (ρ = 0.61, P<0.05), but not to the duration of disease. Most lesions were detected with FLAIR, but many also with T2-weighted imaging. Conclusion: A number of MRI findings were detected in patients with chronic NB, although the findings were unspecific when compared with matched controls and did not correlate with disease duration. However, subependymal lesions may constitute a potential finding in chronic NB.


2016 ◽  
Vol 31 (14) ◽  
pp. 1611-1616 ◽  
Author(s):  
Alison S. Cooper ◽  
Eron Friedlaender ◽  
Susan E. Levy ◽  
Karuna V. Shekdar ◽  
Andrea Bennett Bradford ◽  
...  

Our objective was to describe the types of providers who refer children with autism spectrum disorder (ASD) for brain magnetic resonance imaging (MRI), the referral reason, and MRI results. The most common referral reasons were autism spectrum disorder with seizures (33.7%), autism spectrum disorder alone (26.3%), and autism spectrum disorder with abnormal neurologic examination or preexisting finding (24%). Neurology (62.5%), general pediatric (22.3%), and developmental/behavioral practitioners (8.9%) referred the most patients. The prevalence of definite pathology was highest in children referred for autism spectrum disorder with abnormal neurologic examination/preexisting finding (26.2%, 95% CI: 16.8%-36%), headaches (25.7%, 95% CI: 11.2%-40.2%), or seizures (22%, 95% CI: 14.6%-29.5%), and was lowest in children referred for autism spectrum disorder alone (6.5%, 95% CI: 1.5%-11.6%). We concluded that there is a low prevalence of definite pathology in children with autism spectrum disorder undergoing brain MRI. In children with abnormal neurologic examination or preexisting finding, seizures, or headaches, one may consider performing brain MRI given the higher prevalence of pathology.


2020 ◽  
Vol 6 (2) ◽  
pp. 79-82
Author(s):  
Balkrishn Gaur ◽  
Gopa Kumar R. Nair ◽  
Vinay Mohan ◽  
Suneel Kumar Gupta

Angelman syndrome (AS) is a rare neurodevelopmental disorder characterized by severe intellectual disability, speech delay, dysmorphic features, cognitive impairment, seizures as well as a unique behaviour with an inappropriate happy demeanor. This article discuss the case of an eight year old male patient with the chief complain of dental pain but presented with the signs of AS. He appeared hyperactive and easily excitable with an unusual laughing facial expression. His speech was impaired and showed unusual fascination towards water. Metabolic screening tests and brain Magnetic Resonance Imaging (MRI) revealed no abnormality. Genetic analysis is pathognomonic for Angelman Syndrome.


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