TY - JOUR
T1 - Quantification of brain functional connectivity deviations in individuals
T2 - A scoping review of functional MRI studies
AU - Toloknieiev, Artur
AU - Voitsekhivskyi, Dmytro
AU - Kholodkov, Hlib
AU - Lvovich, Roman
AU - Matiushko, Petro
AU - Rekretiuk, Daria
AU - Dikhtiar, Andrii
AU - Viter, Antonii
AU - Pokras, Volodymyr
AU - Wunderlich, Stephan
AU - Stoecklein, Sophia
N1 - Wunderlich: Department of Radiology, University Hospital, LMU Munich, Munich, Germany
PY - 2025
Y1 - 2025
N2 - Functional connectivity magnetic resonance imaging (fcMRI) is a well-established technique for studying brain networks in both healthy and diseased individuals. However, no fcMRI-based biomarker has yet achieved clinical relevance. To establish better understanding of the state of the art in quantifying abnormal connectivity in comparison to a reference distribution, for potential use in individual patients, we have conducted a scoping review over 5672 entries from the last 10 years. We have located five publications proposing metrics of abnormal connectivity quantification, reported these metrics, formalized their computing methods, assessed their technology readiness and estimated their computational efficiency. Building upon our findings, we have discussed the metrics' lesion data handling, region of interest level of detail and potential clinical use cases. We also proposed methodical and computational strategies for improvement of current and emerging abnormality quantification metrics in fcMRI research.
AB - Functional connectivity magnetic resonance imaging (fcMRI) is a well-established technique for studying brain networks in both healthy and diseased individuals. However, no fcMRI-based biomarker has yet achieved clinical relevance. To establish better understanding of the state of the art in quantifying abnormal connectivity in comparison to a reference distribution, for potential use in individual patients, we have conducted a scoping review over 5672 entries from the last 10 years. We have located five publications proposing metrics of abnormal connectivity quantification, reported these metrics, formalized their computing methods, assessed their technology readiness and estimated their computational efficiency. Building upon our findings, we have discussed the metrics' lesion data handling, region of interest level of detail and potential clinical use cases. We also proposed methodical and computational strategies for improvement of current and emerging abnormality quantification metrics in fcMRI research.
KW - Humans
KW - Magnetic Resonance Imaging/methods
KW - Brain/diagnostic imaging
KW - Nerve Net/diagnostic imaging
KW - Connectome/methods
U2 - 10.1016/j.nicl.2025.103856
DO - 10.1016/j.nicl.2025.103856
M3 - Review article
C2 - 40818337
SN - 2213-1582
VL - 48
SP - 103856
JO - NEUROIMAGE-CLINICAL
JF - NEUROIMAGE-CLINICAL
M1 - 103856
ER -