Structural brain abnormalities in adolescent patients with anorexia nervosa at both the acute and weight-recovered phase

2022 ◽  
Author(s):  
Takeshi Asami ◽  
Masao Takaishi ◽  
Ryota Nakamura ◽  
Asuka Yoshimi ◽  
Jun Konishi ◽  
...  
Keyword(s):  
Anorexia Nervosa ◽  
Brain Abnormalities ◽  
Adolescent Patients ◽  
Structural Brain

Structural Brain Abnormalities in Adolescent Anorexia Nervosa Before and After Weight Recovery and Associated Hormonal Changes

2012 ◽  
Vol 74 (6) ◽  
pp. 574-582 ◽  
Author(s):  
Verena Mainz ◽  
Martin Schulte-Rüther ◽  
Gereon R. Fink ◽  
Beate Herpertz-Dahlmann ◽  
Kerstin Konrad
Keyword(s):  
Anorexia Nervosa ◽  
Hormonal Changes ◽  
Brain Abnormalities ◽  
Before And After ◽  
Adolescent Anorexia Nervosa ◽  
Structural Brain

scholarly journals Meta-analysis of structural MRI studies in anorexia nervosa and the role of recovery: a systematic review protocol

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Melissa J Dreier ◽  
Avery L. Van De Water ◽  
Danielle L. Kahn ◽  
Kendra R. Becker ◽  
Kamryn T. Eddy ◽  
...  
Keyword(s):  
Systematic Review ◽  
Anorexia Nervosa ◽  
Brain Structure ◽  
Meta Analysis ◽  
Structural Mri ◽  
Healthy Controls ◽  
Brain Abnormalities ◽  
Course Of Illness ◽  
Structural Brain

Abstract Background Anorexia nervosa (AN) is associated with structural brain abnormalities. Studies have reported less cerebral tissue and more cerebrospinal fluid (CSF) in individuals with AN relative to healthy controls, although findings are variable and inconsistent due to variations in sample size, age, and disease state (e.g., active AN, weight-recovered AN). Further, it remains unclear if structural brain abnormalities observed in AN are a consequence of specific brain pathologies or malnutrition, as very few longitudinal neuroimaging studies in AN have been completed. Methods To overcome this issue, this comprehensive meta-analysis will combine region-of-interest (ROI) and voxel-based morphometry (VBM) approaches to understand how regional and global structural brain abnormalities differ among individuals with AN and healthy controls (HCs). Additionally, we aim to understand how clinical characteristics and physiological changes during the course of illness, including acute illness vs. weight recovery, may moderate these structural abnormalities. We will create an online database of studies that have investigated structural brain abnormalities in AN. Data will be reviewed independently by two members of our team using MEDLINE databases, Web of Science, PsycINFO, EMBASE, and CINAHL. We will conduct ROI and VBM meta-analysis using seed-based d mapping in AN and HCs. We will include all studies that include structural neuroimaging of individuals with AN (both acute and weight-recovered) and HCs between January 1997 and 2020. Discussion This systematic review will assess the effects of AN compared to HC on brain structure. Futhermore, it will explore the role of acute AN and weight-recovered AN on brain structure. Findings will help researchers and clinicians to better understand the course of illness in AN and the nature of recovery, in terms of weight, malnutrition, and the state of the brain. Systematic review registration PROSPERO CRD42020180921

Structural brain abnormalities in the early phase of schizophrenia

2008 ◽  
Vol 23 ◽  
pp. S119-S120
Author(s):  
R. Herold ◽  
A. Feldmann ◽  
T. Tenyi ◽  
F. Kover ◽  
S. Fekete
Keyword(s):  
Early Phase ◽  
Brain Abnormalities ◽  
Structural Brain

Neuroleptics in progressive structural brain abnormalities in psychiatric illness

The Lancet ◽  
1998 ◽  
Vol 352 (9130) ◽  
pp. 784-785 ◽  
Author(s):  
AL Madsen ◽  
N Keiding ◽  
A Karle ◽  
S Esbjerg ◽  
R Hemmingsen ◽  
...  
Keyword(s):  
Psychiatric Illness ◽  
Brain Abnormalities ◽  
Structural Brain

Comparison of total and regional body composition in adolescent patients with anorexia nervosa and pair-matched controls

1998 ◽  
Vol 3 (4) ◽  
pp. 179-187 ◽  
Author(s):  
Peter Schneider ◽  
J. Biko ◽  
D. Schlamp ◽  
G.-E. Trott ◽  
F. Badura ◽  
...  
Keyword(s):  
Body Composition ◽  
Anorexia Nervosa ◽  
Regional Body Composition ◽  
Adolescent Patients

scholarly journals Structural brain abnormalities in epilepsy with myoclonic atonic seizures

2021 ◽  
pp. 106771
Author(s):  
Solange Denervaud ◽  
Christian Korff ◽  
Joël Fluss ◽  
Judith Kalser ◽  
Eliane Roulet-Perez ◽  
...  
Keyword(s):  
Brain Abnormalities ◽  
Atonic Seizures ◽  
Structural Brain

scholarly journals Mutations in the β-Tubulin Gene TUBB5 Cause Microcephaly with Structural Brain Abnormalities

Cell Reports ◽  
2012 ◽  
Vol 2 (6) ◽  
pp. 1554-1562 ◽  
Author(s):  
Martin Breuss ◽  
Julian Ik-Tsen Heng ◽  
Karine Poirier ◽  
Guoling Tian ◽  
Xavier Hubert Jaglin ◽  
...  
Keyword(s):  
Brain Abnormalities ◽  
Tubulin Gene ◽  
Structural Brain ◽  
Β Tubulin

Structural brain abnormalities are related to retinal nerve fiber layer thinning and disease duration in neuromyelitis optica spectrum disorders

2014 ◽  
Vol 20 (9) ◽  
pp. 1189-1197 ◽  
Author(s):  
Felipe von Glehn ◽  
Sven Jarius ◽  
Rodrigo Pessoa Cavalcanti Lira ◽  
Maria Carolina Alves Ferreira ◽  
Fadua H Ribeiro von Glehn ◽  
...  
Keyword(s):  
Nerve Fiber ◽  
Neuromyelitis Optica ◽  
Retinal Nerve Fiber Layer ◽  
Disease Duration ◽  
Diffusion Tensor ◽  
Brain Abnormalities ◽  
Fiber Layer ◽  
Spectrum Disorders ◽  
And Diffusion ◽  
Structural Brain

Background: Although aquaporin-4 (AQP4) is widely expressed in the human brain cortex, lesions are rare in neuromyelitis optica (NMO) spectrum disorders (NMOSD). Recently, however, several studies have demonstrated occult structural brain atrophy in NMO. Objective: This study aims to investigate magnetic resonance imaging (MRI) patterns of gray matter (GM) and white matter (WM) abnormalities in patients with NMOSD and to assess the visual pathway integrity during disease duration correlation of the retinal nerve fiber layer (RNFL) and pericalcarine cortex thickness. Methods: Twenty-one patients with NMOSD and 34 matched healthy controls underwent both high-field MRI (3T) high-resolution T1-weighted and diffusion-tensor MRI. Voxel-based morphometry, cortical analyses (Freesurfer) and diffusion-tensor imaging (DTI) analyses (TBSS-FSL) were used to investigate brain abnormalities. In addition, RNFL measurement by optic-coherence tomography (OCT) was performed. Results: We demonstrate that NMOSD is associated with GM and WM atrophy, encompassing more frequently the motor, sensory and visual pathways, and that the extent of GM atrophy correlates with disease duration. Furthermore, we demonstrate for the first time a correlation between RNFL and pericalcarine cortical thickness, with cortical atrophy evolving over the course of disease. Conclusions: Our findings indicate a role for retrograde and anterograde neurodegeneration in GM atrophy in NMOSD. However, the presence atrophy encompassing almost all lobes suggests that additional pathomechanisms might also be involved.

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