scholarly journals Multi-voxel pattern analysis of fMRI data predicts clinical symptom severity

NeuroImage ◽  
2011 ◽  
Vol 57 (1) ◽  
pp. 113-123 ◽  
Author(s):  
Marc N. Coutanche ◽  
Sharon L. Thompson-Schill ◽  
Robert T. Schultz
2018 ◽  
Vol 31 (04) ◽  
pp. 561-569 ◽  
Author(s):  
Carol K. Chan ◽  
Anja Soldan ◽  
Corinne Pettigrew ◽  
Mei-Cheng Wang ◽  
Jiangxia Wang ◽  
...  

ABSTRACTObjective:There is increasing evidence of an association between depressive symptoms and mild cognitive impairment (MCI) in cross-sectional studies, but the longitudinal association between depressive symptoms and risk of MCI onset is less clear. The authors investigated whether baseline symptom severity of depression was predictive of time to onset of symptoms of MCI.Method:These analyses included 300 participants from the BIOCARD study, a cohort of individuals who were cognitively normal at baseline (mean age = 57.4 years) and followed for up to 20 years (mean follow-up = 2.5 years). Depression symptom severity was measured using the Hamilton Depression Scale (HAM-D). The authors assessed the association between dichotomous and continuous HAM-D and time to onset of MCI within 7 years versus after 7 years from baseline (reflecting the mean time from baseline to onset of clinical symptoms in the cohort) using Cox regression models adjusted for gender, age, and education.Results:At baseline, subjects had a mean HAM-D score of 2.2 (SD = 2.8). Higher baseline HAM-D scores were associated with an increased risk of progression from normal cognition to clinical symptom onset ≤ 7 years from baseline (p= 0.043), but not with progression > 7 years from baseline (p= 0.194). These findings remained significant after adjustment for baseline cognition.Conclusions:These results suggest that low levels of depressive symptoms may be predictive of clinical symptom onset within approximately 7 years among cognitively normal individuals and may be useful in identifying persons at risk for MCI due to Alzheimer’s disease.


2013 ◽  
Vol 105 (1-2) ◽  
pp. 140-149 ◽  
Author(s):  
Heidi M. Bonnici ◽  
Meneka Sidhu ◽  
Martin J. Chadwick ◽  
John S. Duncan ◽  
Eleanor A. Maguire

2016 ◽  
Author(s):  
Stephanie C.Y. Chan ◽  
Marissa C. Applegate ◽  
Neal W Morton ◽  
Sean M. Polyn ◽  
Kenneth A. Norman

Several prominent theories posit that information about recent experiences lingers in the brain and organizes memories for current experiences, by forming a temporal context that is linked to those memories at encoding. According to these theories, if the thoughts preceding an experience X resemble the thoughts preceding an experience Y, then X and Y should show an elevated probability of being recalled together. We tested this prediction by using multi-voxel pattern analysis (MVPA) of fMRI data to measure neural evidence for lingering processing of preceding stimuli. As predicted, memories encoded with similar lingering thoughts (about the category of preceding stimuli) were more likely to be recalled together, thereby showing that the "fading embers" of previous stimuli help to organize recall.


2018 ◽  
Vol 195 ◽  
pp. 409-411 ◽  
Author(s):  
Leah H. Rubin ◽  
Heidi J. Wehring ◽  
Haley Demyanovich ◽  
C. Sue Carter ◽  
Hossein Pournajafi-Nazarloo ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document