White Matter Changes in Depression and Alzheimer's Disease: A Review of Magnetic Resonance Imaging Studies

Author(s):  
JOHN T. O'BRIEN ◽  
DAVID AMES ◽  
ISAAC SCHWIETZER
1996 ◽  
Vol 243 (3) ◽  
pp. 231-234 ◽  
Author(s):  
Patrick Vermersch ◽  
Jean Roche ◽  
Mich�le Hamon ◽  
Christine Daems-Monpeurt ◽  
Jean-Pierre Pruvo ◽  
...  

2013 ◽  
Vol 9 ◽  
pp. P701-P701
Author(s):  
Margit Mikula ◽  
Petroula Proitsi ◽  
Martina Sattlecker ◽  
Mike O'Sullivan ◽  
Andy Simmons ◽  
...  

2021 ◽  
Vol 15 ◽  
Author(s):  
Wha Jin Lee ◽  
Cindy W. Yoon ◽  
Sung-Woo Kim ◽  
Hye Jin Jeong ◽  
Seongho Seo ◽  
...  

Early- and late-onset Alzheimer’s disease (AD) patients often exhibit distinct features. We sought to compare overall white matter connectivity and evaluate the pathological factors (amyloid, tau, and vascular pathologies) that affect the disruption of connectivity in these two groups. A total of 50 early- and 38 late-onset AD patients, as well as age-matched cognitively normal participants, were enrolled and underwent diffusion-weighted magnetic resonance imaging to construct fractional anisotropy-weighted white matter connectivity maps. [18F]-THK5351 PET, [18F]-Flutemetamol PET, and magnetic resonance imaging were used for the evaluation of tau and related astrogliosis, amyloid, and small vessel disease markers (lacunes and white matter hyperintensities). Cluster-based statistics was performed for connectivity comparisons and correlation analysis between connectivity disruption and the pathological markers. Both patient groups exhibited significantly disrupted connectivity compared to their control counterparts with distinct patterns. Only THK retention was related to connectivity disruption in early-onset AD patients, and this disruption showed correlations with most cognitive scores, while late-onset AD patients had disrupted connectivity correlated with amyloid deposition, white matter hyperintensities, and lacunes in which only a few cognitive scores showed associations. These findings suggest that the pathogenesis of connectivity disruption and its effects on cognition are distinct between EOAD and LOAD.


1996 ◽  
Vol 168 (4) ◽  
pp. 477-485 ◽  
Author(s):  
John O'brien ◽  
Patricia Desmond ◽  
David Ames ◽  
Isaac Schweitzer ◽  
Susan Harrigan ◽  
...  

BackgroundWhite matter changes, as revealed by magnetic resonance imaging (MRI), may occur in depression and Alzheimer's disease.MethodT2-weighted MRI scans were performed in 39 control subjects, 61 subjects with NINCDS/ADRDA Alzheimer's disease and 60 subjects with DSM–III–R major depression. Deep white matter lesions (DWML) and periventricular lesions (PVL) were rated on a standard 0–3 scale by two radiologists blind to clinical diagnosis.ResultsAfter controlling for differences in vascular risk factors and current blood pressure, DWML were significantly more common in depressed subjects and PVL in Alzheimer's disease subjects compared to controls. DWML were most common in those presenting in late life with their first ever depression and 50% of such subjects had severe (grade 3) DWML.ConclusionAn association between DWML and depression and PVL and Alzheimer's disease is supported. The increase with DWML that occurs with ageing may predispose some elderly subjects to depression.


2007 ◽  
Vol 19 (9) ◽  
pp. 1498-1507 ◽  
Author(s):  
Daniel S. Marcus ◽  
Tracy H. Wang ◽  
Jamie Parker ◽  
John G. Csernansky ◽  
John C. Morris ◽  
...  

The Open Access Series of Imaging Studies is a series of magnetic resonance imaging data sets that is publicly available for study and analysis. The initial data set consists of a cross-sectional collection of 416 subjects aged 18 to 96 years. One hundred of the included subjects older than 60 years have been clinically diagnosed with very mild to moderate Alzheimer's disease. The subjects are all right-handed and include both men and women. For each subject, three or four individual T1-weighted magnetic resonance imaging scans obtained in single imaging sessions are included. Multiple within-session acquisitions provide extremely high contrast-to-noise ratio, making the data amenable to a wide range of analytic approaches including automated computational analysis. Additionally, a reliability data set is included containing 20 subjects without dementia imaged on a subsequent visit within 90 days of their initial session. Automated calculation of whole-brain volume and estimated total intracranial volume are presented to demonstrate use of the data for measuring differences associated with normal aging and Alzheimer's disease.


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