Effect of Multiband Imaging on temporal dynamics of functional connectivity in typical aging
Poster No:
1565
Submission Type:
Abstract Submission
Authors:
Himanshu Singh1, S. Senthil Kumaran1
Institutions:
1All India Institute of Medical Sciences, New Delhi, India
First Author:
Co-Author:
Introduction:
The analysis of brain function using resting-state functional magnetic resonance imaging (rsfMRI) is associated to underlying synchronization of neuronal activity1. Majority of imaging studies incorporate conventional (single band) scan for the resting data2–4. Recent advances in parallel imaging using multiband (MB) have shown to improve the Blood oxygenation level dependent (BOLD) sensitivity5. Aging is a crucial aspect of lifespan and its effect related to brain function using rsfMRI is a common approach in connectome studies6,7. Most of such studies use single band rsfMRI which is limited by the temporal resolution of the MR scanner. Employing multiband method and increasing/optimizing the acquisition time may allow for hemodynamic signal enhancement5. The increase in time of acquisition via multi session approach can improve temporal resolution, and have reduced effects of the physiological noise (such as respiratory and cardiac rhythm) 5. In the current study, we looked at the effect of MB and multisession in understanding how the global hemodynamic signal change with increase in temporal resolution and acquisition time specifically for typical aging population above 60 years.
Methods:
Study was conducted on healthy subjects with typical aging (n=12, mean age 75 (range: 63-86) years), after IEC approval, on a 3T MR scanner (Ingenia 3T, M/s Philips). The rs-fMRI was carried out using multiband factor of 4 with repetition time (TR) 1.4s and TE: ms, in two sessions of 300 dynamics each, resulting in a total acquisition time of 14 minutes. Data was preprocessed using a default pipeline and Denoising method using Compcor of conn toolbox8,9. Local/global correlation (LCor/GCor), Intrinsic/interhemispheric connectivity (ICC/IHC), Amplitude of Low Frequency Fluctuations (ALFF), fractional Amplitude of Low Frequency Fluctuations (f/ALFF) and ROI functional connectivity were computed to estimate changes. Group level covariates (with first session considered as "short" and two sessions concatenated considered as "long") were the input for statistical inference through General Linear Model. All computed analysis were tested for significance with a cluster threshold of p FDR corrected <0.05.
Results:
The ROI and IHC connectivity across the two conditions remained the same, with no significant difference in the connectivity matrices between the two. Inferior/Superior temporal gyrus (r) and Superior frontal gyrus (l) revealed a significant difference in short session when compared to long acquisitions in ALFF. Cerebellar signal change was also observed in short condition when compared to long, with precuneus having significant f/ALFF signal for long condition (Figure 1). Global correlation change (Figure 2) was observed in frontal pole right and local correlation change were observed in inferior temporal gyrus, posterior (r). Intrinsic connectivity (Figure 2) for long temporal condition exhibited signal in postcentral/supramarginal Gyrus's (r).
·Figure 1: ALFF and f/ALFF percentage signal change in rs-fMRI through acquisition time window short and long condition.
·Figure 2: Global/Local Correlation and intrinsic connectivity change in rs-fMRI through acquisition time window short and long condition.
Conclusions:
The multiband acquisition exhibited an improvement in sensitivity across in intrinsic connectivity in typical agers. The local coherence and voxel level interaction revealed f/ALFF signal enhancement associated with longitudinal acquisition. Aging is generally associated to the decline in executive function2,6. However, current result shows an improvement in the temporal hemodynamics in frontal pole and supramarginal gyrus activity on rs-fMRI. More studies employing the multiband reference and acquisition time frame need to be carried out to develop well informed cognitive connectome model for aging.
Lifespan Development:
Aging 2
Modeling and Analysis Methods:
Activation (eg. BOLD task-fMRI)
Connectivity (eg. functional, effective, structural) 1
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Normal Development
Novel Imaging Acquisition Methods:
BOLD fMRI
Keywords:
Acquisition
Aging
Data analysis
FUNCTIONAL MRI
Spatial Normalization
Other - MutliBand/Parallel Imaging, Acquisition Time
1|2Indicates the priority used for review
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