Vascular Modulation of Resting-State fMRI Functional Connectivity

نویسنده

  • Jonathan Branden Kwinta
چکیده

Widely used in resting-state fMRI functional connectivity measurement (fcMRI), the BOLD signal is an indirect measure of neuronal activity, inherently modulated by vascular physiology. Notably, cerebrovascular reactivity (CVR) varies across individuals irrespective of neuronal changes, with unknown implications, compromising fcMRI interpretation. This work quantifies the relationship between CVR and resting motor fcMRI in healthy young adults. We modulate CVR within each individual, altering vascular tension through end-tidal CO2 (PETCO2), and measure fcMRI during hypercapnic, hypocapnic and normocapnic states. PETCO2 significantly influenced CVR and fcMRI, but with different directionalities. Resting motor fcMRI was significantly positively associated with CVR across the group, however, the CVR-fcMRI relationship was highly subject dependent. Furthermore, the relationship was not mediated by BOLD signal fluctuation amplitude. This work demonstrates and quantifies a major vascular modulator of resting fcMRI among healthy individuals. We suggest that correcting for CVR in fcMRI is important in studying healthy and diseased brains.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Resting-state Functional Connectivity During Controlled Respiratory Cycles Using Functional Magnetic Resonance Imaging

Introduction: This study aimed to assess the effect of controlled mouth breathing during the resting state using functional magnetic resonance imaging (fMRI). Methods: Eleven subjects participated in this experiment in which the controlled “Nose” and “Mouth” breathings of 6 s respiratory cycle were performed with a visual cue at 3T MRI. Voxel-wise seed-to-voxel maps and whole-brain region of i...

متن کامل

Analysis of Resting-State fMRI Topological Graph Theory Properties in Methamphetamine Drug Users Applying Box-Counting Fractal Dimension

Introduction: Graph theoretical analysis of functional Magnetic Resonance Imaging (fMRI) data has provided new measures of mapping human brain in vivo. Of all methods to measure the functional connectivity between regions, Linear Correlation (LC) calculation of activity time series of the brain regions as a linear measure is considered the most ubiquitous one. The strength of the dependence obl...

متن کامل

Identification of mild cognitive impairment disease using brain functional connectivity and graph analysis in fMRI data

Background: Early diagnosis of patients in the early stages of Alzheimer's, known as mild cognitive impairment, is of great importance in the treatment of this disease. If a patient can be diagnosed at this stage, it is possible to treat or delay Alzheimer's disease. Resting-state functional magnetic resonance imaging (fMRI) is very common in the process of diagnosing Alzheimer's disease. In th...

متن کامل

Alterations in Hippocampal Functional Connectivity in patients with Mesial Temporal Sclerosis

Introduction: Medial temporal sclerosis (MTS) is a form of mesial temporal lobe epilepsy (mTLE). It is typically characterized by structural alterations in hippocampus (HC) and related mesial temporal lobe (MTL) network. Resting state functional connectivity (RSFC) is considered an ideal technique in quantifying the dysfunction and maladaptation in MTL network. It is well- dem...

متن کامل

طبقه‌بندی بیماری پارکینسون بر مبنای شاخص‌های درون-ناحیه‌ای و بین-ناحیه‌ای شبکه حرکتی مغز با استفاده از دادگان fMRI حالت استراحت

Parkinson’s disease (PD) is a progressive neurological disorder characterized by tremor, rigidity, and slowness of movement. Recent studies on investigation of the brain function show that there are spontaneous fluctuations between regions at rest as resting state network affected in various disorders. In this paper, we used amplitude of low frequency fluctuation (ALFF) for the study of intra-r...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016