Structural complexity of brain regions in mild cognitive impairment and Alzheimers disease
Tibon, R.; Madan, C. R.; Vaghari, D.; Reyes-Aldasoro, C. C.
Show abstract
Early detection of Alzheimers disease (AD) has been a major focus of current research efforts to guide interventions at the earliest stages of the disease. Subtle changes to the brain might be observed with neuroimaging techniques, even before symptoms surface. We interrogated brain images obtained with Magnetic Resonance Imaging (MRI) from two large-scale dementia datasets (namely, ADNI and BioFIND) to establish the utility of fractal dimensionality (FD)--a relatively understudied measure that estimates the complexity of 3D structures (in this case, brain regions)--for the detection of AD. We show that FD can be used to detect group differences between patients and healthy controls, with the former showing significantly reduced complexity across multiple brain regions. Furthermore, these measures were successful when used as features for individual-based classification and were highly consistent across the two datasets. Finally, the contribution of specific brain regions to individual-based classification adhered to previous literature on the properties of the brains memory network. Taken together, the study offers novel and interpretable evidence for the utility of FD for the detection of AD.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Preliminary Validation of a Structural Magnetic Resonance Imaging Metric for Tracking Dementia-Related Neurodegeneration and Future Decline 97%
- Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methods 97%
- Medial temporal atrophy in preclinical dementia: visual and automated assessment during six year follow-up 97%
Similar papers in this journal
Similar papers in this journal
- Identifying the regional substrates predictive of Alzheimer’s disease progression through a convolutional neural network model and occlusion 97%
- From Big Data to the clinic: methodological and statistical enhancements to implement the UK Biobank imaging framework in a memory clinic 97%
- Beware of White Matter Hyperintensities Causing Systematic Errors in Grey Matter Segmentations! 97%
Similar papers in this journal
- Whole-brain functional connectivity predicts regional tau PET in preclinical Alzheimer's disease 95%
- Dementia is strongly associated with medial temporal atrophy even after accounting for neuropathologies 95%
- Evaluating the granularity and statistical structure of lesions and behaviour in post-stroke aphasia 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.