INS NYC 2024 Program

Poster	Poster Session 04 Program Schedule 02/15/2024 12:00 pm - 01:15 pm Room: Shubert Complex (Posters 1-60) Poster Session 04: Neuroimaging \| Neurostimulation/Neuromodulation \| Teleneuropsychology/Technology Final Abstract #46 Go with the (Blood) Flow: A Systematic Review of the Relationship between Dynamic Functional Connectivity and Information Processing Speed Olivia Haller, Georgia State University, Atlanta, United States Tricia King, Georgia State University, Atlanta, United States Category: Neuroimaging Keyword 1: information processing speed Keyword 2: neuroimaging: functional connectivity Keyword 3: cognitive neuroscience Objective: Advances in approaches to measuring the temporal variability of functional connectivity in the brain have the potential to shift understandings about brain-behavior relationships. This possibility has led to increased interest in dynamic functional connectivity (dFC) methods. Information processing speed (IPS) is a cognitive ability associated with the speed and efficiency of information processing. IPS may be of particular interest to dFC analyses as dFC is able to capture short temporal periods of change in connectivity patterns. Despite its popularity, there is limited work reviewing the relationship between dFC and cognition; there is no review reporting on relationships between IPS and dFC. Therefore, the present systematic review aims to explore the association between IPS and dFC of resting-state functional magnetic resonance imaging (rs-fMRI) data in healthy individuals. Participants and Methods: This review was conducted in accordance with PRISMA guidelines. Included papers were published through July 24^th, 2023. Searches were conducted using ProQuest Central and ScienceDirect with the following search terms (processing speed) AND (fMRI) AND (resting state) AND (dynamic functional connectivity OR dynamic functional network connectivity). Studies were eligible based on the following inclusion criteria: use of rs-fMRI, calculation of dFC, measurement of IPS, and a statistical test between dFC and IPS. This study focused exclusively on rs-fMRI methods as rs-fMRI is thought to better characterize brain dynamics. Included studies were also in English, were empirical research studies, and used a well-characterized typical, or healthy population (n>30). Ten papers were deemed eligible. Data of interest were extracted and analyzed qualitatively due to the variability in dFC and IPS measurement. Studies were systematically evaluated for quality based on predetermined criteria. Results: Study sample sizes ranged from 32-6,716 participants with most reporting 100 and 1,000 participants (R_age=15-80). Analyses primarily used a sliding window approach, with variability in dFC measures of interest. Estimates of relationships between dFC and IPS were primarily accomplished using correlational approaches. Results reveal mixed findings. Approximately half (6/10) of the studies report no relationship between dFC and IPS. Studies with null results had notably smaller sample sizes than studies with significant findings. Indeed, half of the studies with null findings had less than 100 participants. Results suggest relationships between IPS and dFC may be obscured by power limitations. While patterns in results were limited due to variability in methods, significant results suggest IPS may be associated with dFC measures that capture the variability of brain states (e.g., transition rates between states) rather than occurrence of a particular state. Conclusions: Novel analytic methods like dFC are gaining popularity for the unique and complementary information they can provide to existing neuroimaging findings. Despite the interest in dFC, the number of studies that seek to draw relationships between dFC and cognition is limited. Results indicate that IPS is inconsistently related to aspects of dFC. Factors that reduced the interpretability of prior research included varied sample size, lack of standardization of acquisition and analytic methods, and limited reporting of cognitive performance. Future work focusing on dFC and IPS may illuminate the nature of these relationships.

Poster

02/15/2024
12:00 pm - 01:15 pm
Room: Shubert Complex (Posters 1-60)

Poster Session 04: Neuroimaging | Neurostimulation/Neuromodulation | Teleneuropsychology/Technology

Final Abstract #46

Go with the (Blood) Flow: A Systematic Review of the Relationship between Dynamic Functional Connectivity and Information Processing Speed

Olivia Haller, Georgia State University, Atlanta, United States
Tricia King, Georgia State University, Atlanta, United States

Category: Neuroimaging

Keyword 1: information processing speed
Keyword 2: neuroimaging: functional connectivity
Keyword 3: cognitive neuroscience

Objective:

Advances in approaches to measuring the temporal variability of functional connectivity in the brain have the potential to shift understandings about brain-behavior relationships. This possibility has led to increased interest in dynamic functional connectivity (dFC) methods. Information processing speed (IPS) is a cognitive ability associated with the speed and efficiency of information processing. IPS may be of particular interest to dFC analyses as dFC is able to capture short temporal periods of change in connectivity patterns. Despite its popularity, there is limited work reviewing the relationship between dFC and cognition; there is no review reporting on relationships between IPS and dFC. Therefore, the present systematic review aims to explore the association between IPS and dFC of resting-state functional magnetic resonance imaging (rs-fMRI) data in healthy individuals.

Participants and Methods:

This review was conducted in accordance with PRISMA guidelines. Included papers were published through July 24^th, 2023. Searches were conducted using ProQuest Central and ScienceDirect with the following search terms (processing speed) AND (fMRI) AND (resting state) AND (dynamic functional connectivity OR dynamic functional network connectivity). Studies were eligible based on the following inclusion criteria: use of rs-fMRI, calculation of dFC, measurement of IPS, and a statistical test between dFC and IPS. This study focused exclusively on rs-fMRI methods as rs-fMRI is thought to better characterize brain dynamics. Included studies were also in English, were empirical research studies, and used a well-characterized typical, or healthy population (n>30). Ten papers were deemed eligible. Data of interest were extracted and analyzed qualitatively due to the variability in dFC and IPS measurement. Studies were systematically evaluated for quality based on predetermined criteria.

Results:

Study sample sizes ranged from 32-6,716 participants with most reporting 100 and 1,000 participants (R_age=15-80). Analyses primarily used a sliding window approach, with variability in dFC measures of interest. Estimates of relationships between dFC and IPS were primarily accomplished using correlational approaches. Results reveal mixed findings. Approximately half (6/10) of the studies report no relationship between dFC and IPS. Studies with null results had notably smaller sample sizes than studies with significant findings. Indeed, half of the studies with null findings had less than 100 participants. Results suggest relationships between IPS and dFC may be obscured by power limitations. While patterns in results were limited due to variability in methods, significant results suggest IPS may be associated with dFC measures that capture the variability of brain states (e.g., transition rates between states) rather than occurrence of a particular state.

Conclusions:

Novel analytic methods like dFC are gaining popularity for the unique and complementary information they can provide to existing neuroimaging findings. Despite the interest in dFC, the number of studies that seek to draw relationships between dFC and cognition is limited. Results indicate that IPS is inconsistently related to aspects of dFC. Factors that reduced the interpretability of prior research included varied sample size, lack of standardization of acquisition and analytic methods, and limited reporting of cognitive performance. Future work focusing on dFC and IPS may illuminate the nature of these relationships.