Altered Intrinsic Brain Activity in Ischemic Stroke Patients Assessed Using the Percent Amplitude of a Fluctuation Method
- PMID: 38896171
- DOI: 10.1007/s10548-024-01063-1
Altered Intrinsic Brain Activity in Ischemic Stroke Patients Assessed Using the Percent Amplitude of a Fluctuation Method
Abstract
Ischemic stroke is a vascular disease that may cause cognitive and behavioral abnormalities. This study aims to assess abnormal brain function in ischemic stroke patients using the percent amplitude of fluctuation (PerAF) method and further explore the feasibility of PerAF as an imaging biomarker for investigating ischemic stroke pathophysiology mechanisms. Sixteen ischemic stroke patients and 22 healthy controls (HCs) underwent resting state functional magnetic resonance imaging (rs-fMRI) scanning, and the resulting data were analyzed using PerAF. Then a correlation analysis was conducted between PerAF values and Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores. Finally, the abnormal PerAF values were extracted and defined as features for support vector machine (SVM) analysis. Compared with HCs, ischemic stroke patients showed decreased PerAF in the bilateral cuneus, left middle frontal gyrus, precuneus and right inferior temporal gyrus, and increased PerAF in the bilateral orbital part of middle frontal gyrus and right orbital part of superior frontal gyrus. Correlation analyses revealed that PerAF values in the left orbital part of middle frontal gyrus was negatively correlated with the MoCA scores. The SVM classification of the PerAF values achieved an area under the curve (AUC) of 0.98 and an accuracy of 94.74%. Abnormal brain function has been found among ischemic stroke patients, which may be correlated with visual impairment, attention deficits, and dysregulation of negative emotions following a stroke. Our findings may support the potential of PerAF as a sensitive biomarker for investigating the underlying mechanisms of ischemic stroke.
Keywords: Ischemic stroke; Percent amplitude of fluctuation; Resting-state fMRI; Support vector machine.
© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
References
-
- Arnone D, Job D, Selvaraj S, Abe O, Amico F, Cheng Y, Colloby SJ, O’Brien JT, Frodl T, Gotlib IH, Ham BJ, Kim MJ, Koolschijn PC, Périco CA, Salvadore G, Thomas AJ, Van Tol MJ, van der Wee NJ, Veltman DJ, Wagner G, McIntosh AM (2016) Computational meta-analysis of statistical parametric maps in major depression. Hum Brain Mapp 37(4):1393–1404. https://doi.org/10.1002/hbm.23108 - DOI - PubMed - PMC
-
- Briggs RG, Lin YH, Dadario NB, Kim SJ, Young IM, Bai MY, Dhanaraj V, Fonseka RD, Hormovas J, Tanglay O, Chakraborty AR, Milligan TM, Abraham CJ, Anderson CD, Palejwala AH, Conner AK, O’Donoghue DL, Sughrue ME (2021) Anatomy and White Matter connections of the Middle Frontal Gyrus. World Neurosurg 150:e520–e529. https://doi.org/10.1016/j.wneu.2021.03.045 - DOI - PubMed
-
- Chen Z, Liu M, Gross DW, Beaulieu C (2013) Graph theoretical analysis of developmental patterns of the white matter network. Front Hum Neurosci 7:716. https://doi.org/10.3389/fnhum.2013.00716 - DOI - PubMed - PMC
-
- Corbetta M, Patel G, Shulman GL (2008) The reorienting system of the human brain: from environment to theory of mind. Neuron 58(3):306–324. https://doi.org/10.1016/j.neuron.2008.04.017 - DOI - PubMed - PMC
-
- Drevets WC (2007) Orbitofrontal cortex function and structure in depression. Ann N Y Acad Sci 1121:499–527. https://doi.org/10.1196/annals.1401.029 - DOI - PubMed
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical