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The Effects of Single Exercise Sessions on Cognitive Flexibility and Brain Functional Connectivity in Older Adults With Cognitive Impairment

The Effects of Different Forms of Single Exercise Sessions on Cognitive Flexibility and Brain Functional Connectivity in Older Adults With Cognitive Impairment: A Single-Blind, Multicenter Randomized Controlled Trial

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07623954
Enrollment
60
Registered
2026-06-03
Start date
2025-06-30
Completion date
2026-01-20
Last updated
2026-06-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cognitive Flexibility, Cognitive Impairment

Brief summary

Objectives: To investigate the effects of different forms (physical and mental, aerobic and resistance) of single exercise on the cognitive flexibility and brain functional connectivity of elderly individuals with cognitive impairment. Clinical trail Methods: This study employed a single-blind, multi-center randomized controlled trial. Sixty elderly individuals with cognitive impairment were recruited and randomly divided into the Qigong group (15 participants), the brisk walking group (15 participants), the elastic band group (15 participants), and the control group (15 participants). Before and after the intervention, 5-minute resting-state electroencephalogram signals were collected and cognitive flexibility tests were conducted. The Qigong group, the brisk walking group, and the elastic band group received single sessions of Qigong, brisk walking, and elastic band exercises respectively, while the control group received health education. The exercise intensity was moderate (target heart rate was 64%-76% of the maximum heart rate), and the exercise duration was 30 minutes.

Interventions

OTHEREXERCISE TRAINING

exercise programm

health education materials

Sponsors

Shanghai University of Sport
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
60 Years to 100 Years
Healthy volunteers
No

Inclusion criteria

* Age ≥ 60 years old, gender not restricted; * Patients or their guardians report subjective cognitive decline; * Montreal Cognitive Function Assessment Scale \< 26 points; * Duration of cognitive dysfunction ≥ 6 months; * Willing to sign the informed consent form; * Good physical condition and able to complete the test; * Right-handed.

Exclusion criteria

* History of severe mental disorders (severe depression, schizophrenia, etc.); * Using drugs that affect cognition (such as sedatives, antidepressants, etc.); * Limited language ability; * Consumed caffeine or alcohol the day before the test; * Suffering from serious diseases or injuries that make participation in the test inappropriate.

Design outcomes

Primary

MeasureTime frameDescription
Cognitive flexibilityA total of 8 months from the beginning to the endCognitive flexibility was assessed using the More-odd-shifting task paradigm, which was designed with E-prime software. The testing environment was quiet, well ventilated and moderately lit. The stimuli used in the More-odd-shifting task were red or green Arabic numerals from 1 to 9, excluding 5. Participants were required to make key-press responses according to the task instructions when the stimuli appeared. The More-odd-shifting task consisted of three conditions: Condition 1, judgment of numerical magnitude; Condition 2, judgment of parity; and Condition 3, mixed judgment of numerical magnitude and parity.

Secondary

MeasureTime frameDescription
Brain functional connectivityA total of 8 months from the beginning to the endBrain functional connectivity analysis was performed using MATLAB scripts, and graph-theoretical analysis was carried out using the BrainNet Viewer toolbox. Phase locking value (PLV) was used, and brain functional connectivity was evaluated from two dimensions: connectivity strength and density. In this study, PLV was calculated for the δ, θ, α1, α2, β1 and β2 bands of resting-state EEG using MATLAB, and the formula is shown in Equation (1). Here, i is the imaginary unit, Δt is the time interval between two consecutive samples, and N is the total number of samples. PLV is an index used to quantify phase synchrony in EEG signals and assesses whether two signals maintain a relatively stable phase relationship over time. Its value ranges from 0 to 1, where 1 indicates complete synchrony and 0 indicates no synchrony. PLV is commonly used to investigate phase synchrony between different brain regions, particularly functional connectivity related to neural oscillations.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 4, 2026