Test–retest stability of spontaneous brain activity and functional connectivity in the core resting‐state networks assessed with ultrahigh field 7‐Tesla resting‐state functional magnetic resonance imaging

• Published in: Human brain mapping 2022-04, Vol.43 (6), p.2026-2040
• Main Authors: Sbaihat, Hasan, Rajkumar, Ravichandran, Ramkiran, Shukti, Assi, Abed Al‐Nasser, Felder, Jörg, Shah, Nadim Jon, Veselinović, Tanja, Neuner, Irene
• Format: Article
• Language: English
• Subjects: 7 Tesla; Biomarkers; Brain; Brain - diagnostic imaging; Brain mapping; Brain Mapping - methods; Brain research; Emotional regulation; functional connectivity; Functional magnetic resonance imaging; high resolution; Homogeneity; Humans; Investigations; Magnetic fields; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Medical imaging; Mental disorders; Mental health; Nerve Net - diagnostic imaging; Networks; Neural networks; Neuroimaging; Physiology; Psychiatry; Reliability; Reproducibility; Reproducibility of Results; Resonance; resting state; test–retest stability; triple‐network model; Working groups
• ISSN: 1065-9471; 1097-0193
• DOI: 10.1002/hbm.25771

The growing demand for precise and reliable biomarkers in psychiatry is fueling research interest in the hope that identifying quantifiable indicators will improve diagnoses and treatment planning across a range of mental health conditions. The individual properties of brain networks at rest have been highlighted as a possible source for such biomarkers, with the added advantage that they are relatively straightforward to obtain. However, an important prerequisite for their consideration is their reproducibility. While the reliability of resting‐state (RS) measurements has often been studied at standard field strengths, they have rarely been investigated using ultrahigh‐field (UHF) magnetic resonance imaging (MRI) systems. We investigated the intersession stability of four functional MRI RS parameters—amplitude of low‐frequency fluctuations (ALFF) and fractional ALFF (fALFF; representing the spontaneous brain activity), regional homogeneity (ReHo; measure of local connectivity), and degree centrality (DC; measure of long‐range connectivity)—in three RS networks, previously shown to play an important role in several psychiatric diseases—the default mode network (DMN), the central executive network (CEN), and the salience network (SN). Our investigation at individual subject space revealed a strong stability for ALFF, ReHo, and DC in all three networks, and a moderate level of stability in fALFF. Furthermore, the internetwork connectivity between each network pair was strongly stable between CEN/SN and moderately stable between DMN/SN and DMN/SN. The high degree of reliability and reproducibility in capturing the properties of the three major RS networks by means of UHF‐MRI points to its applicability as a potentially useful tool in the search for disease‐relevant biomarkers. The growing demand for precise and reliable biomarkers in psychiatry is fueling research interest in the hope that identifying quantifiable indicators will improve diagnoses and treatment planning across a range of mental health conditions. In this work, we investigated the intersession stability of four functional magnetic resonance imaging (fMRI) resting‐state (RS) parameters—amplitude of low‐frequency fluctuations (ALFF) and fractional ALFF (fALFF, representing the spontaneous brain activity), regional homogeneity (ReHo; measure of local connectivity), and degree centrality (DC; measure of long‐range connectivity)—in three RS networks, previously shown to play an important role in se