Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Sep-Dec;20(3):200-212.
doi: 10.1016/j.ijchp.2020.07.005. Epub 2020 Aug 16.

Network change point detection in resting-state functional connectivity dynamics of mild cognitive impairment patients

Núria Mancho-Fora  1 , Marc Montalà-Flaquer  1   2 , Laia Farràs-Permanyer  1 , Daniel Zarabozo-Hurtado  3 , Geisa Bearitz Gallardo-Moreno  4 , Esteban Gudayol-Farré  5 , Maribel Peró-Cebollero  1   2   6 , Joan Guàrdia-Olmos  1   2   6
Affiliations

Network change point detection in resting-state functional connectivity dynamics of mild cognitive impairment patients

Núria Mancho-Fora et al. Int J Clin Health Psychol. 2020 Sep-Dec.

Abstract
in English, Spanish

Background/Objective: This study aims to characterize the differences on the short-term temporal network dynamics of the undirected and weighted whole-brain functional connectivity between healthy aging individuals and people with mild cognitive impairment (MCI). The Network Change Point Detection algorithm was applied to identify the significant change points in the resting-state fMRI register, and we analyzed the fluctuations in the topological properties of the sub-networks between significant change points. Method: Ten MCI patients matched by gender and age in 1:1 ratio to healthy controls screened during patient recruitment. A neuropsychological evaluation was done to both groups as well as functional magnetic images were obtained with a Philips 3.0T. All the images were preprocessed and statistically analyzed through dynamic point estimation tools. Results: No statistically significant differences were found between groups in the number of significant change points in the functional connectivity networks. However, an interaction effect of age and state was detected on the intra-participant variability of the network strength. Conclusions: The progression of states was associated to higher variability in the patient's group. Additionally, higher performance in the prospective and retrospective memory scale was associated with higher median network strength.

Antecedentes/Objetivo: Este estudio tiene como objetivo caracterizar las diferencias en la red dinámica de conectividad funcional no dirigida entre un grupo de personas sanas y otro con deterioro cognitivo leve. Se aplicó un algoritmo de detección de puntos de cambio en redes complejas para identificarlos en registros fMRI en estado de reposo y se analizaron las fluctuaciones en las propiedades topológicas de las subredes entre puntos de cambio significativos. Método: Diez pacientes emparejados por sexo y edad en proporción 1:1 a controles sanos. Se realizó una evaluación neuropsicológica a ambos grupos y se obtuvieron imágenes funcionales con un Philips Ingenia 3.0T. Todas las imágenes fueron preprocesadas y analizadas estadísticamente a través de herramientas de estimación dinámica de puntos. Resultados: No se encontraron diferencias estadísticamente significativas entre ambos grupos en el número de puntos de cambio en las redes de conectividad funcional. Se detectó un efecto de interacción entre edad y la variabilidad intra-sujeto en algunos indicadores de complejidad (strength) de la red dinámica. Conclusiones: La progresión de la conectividad se asoció a una mayor variabilidad en el grupo de pacientes. Además, se puede asociar un mayor rendimiento en la escala de memoria prospectiva y retrospectiva con un mayor valor de la mediana de strength de la red.

Keywords: Change point detection; Dynamic functional connectivity; Mild cognitive impairment; Quasi-experiment; Resting-state fMRI.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Significant change points in MCI and control participants.
Figure 2
Figure 2
TMFG filtered functional connectivity graphs for control participants. Each row corresponds to a control individual, while each graph was constructed with the functional connectivity matrices between significant change points.
Figure 3
Figure 3
TMFG filtered functional connectivity graphs for control participants. Each row corresponds to an MCI individual, while each graph was constructed with the functional connectivity matrices between significant change points.
Figure 4
Figure 4
Network strength for control and MCI participants along the fMRI sequence.
Figure 5
Figure 5
Characteristic path length, transitivity and Small-worldness. (A) Characteristic path length, (B) transitivity and (C) small-world coefficient. Each line represents a single individual and brakes in the lines correspond to changes in the network measure after a significant change point.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Ashburner J., Friston K.J. Nonlinear spatial normalization using basis functions. Human Brain Mapping. 1999;7:254–266. doi: 10.1002/(SICI)1097-0193(1999)7:4<254::AID-HBM4>3.0.CO;2-G. - DOI - PMC - PubMed
    1. Blesa R., Pujol M., Aguilar M., Santacruz P., Bertran-Serra I., Hernández G., Sol J.M., Prña J., NORMACODEM Group Clinical validity of the “mini-mental state” for Spanish speaking communities. Neuropsychologia. 2001;39:1150–1157. doi: 10.1016/S0028-3932(01)00055-0. - DOI - PubMed
    1. Brenner E.K., Hampstead B.M., Grossner E.C., Bernier R.A., Gilbert N., Sathian K., Hillary F.G. Diminished neural network dynamics in amnestic mild cognitive impairment. International Journal of Psychophysiology. 2018;130:63–72. doi: 10.1016/j.ijpsycho.2018.05.001. - DOI - PMC - PubMed
    1. Brink T.L., Yesavage J.A., Lum O., Heersema P.H., Adey M., Rose T.L. Screening Tests for Geriatric Depression. Clinical Gerontologist. 1982;1:37–43. doi: 10.1300/J018v01n01_06. - DOI
    1. Calderón L., Barrera M., Noriega I., Al-Khalil K., Trejos E., Mosi J., Chávez B., Galvan M., O’Boyle M.W. Implicit processing of emotional words by children with Post-Traumatic Stress Disorder: An fMRI investigation. International Journal of Clinical and Health Psychology. 2020;20:46–53. doi: 10.1016/j.ijchp.2019.11.002. - DOI - PMC - PubMed