Spatial and Dynamic Characterization of Brain Activity for Language and Posture (Verticality) During Normal Aging. Magnetoencephalography (MEG) Study (MEG-AGING)

Healthy Volunteers Clinical Trial

— MEG-AGING  

Official title:

Spatial and Dynamic Characterization of Brain Activity for Language and Posture (Verticality) During Normal Aging. Magnetoencephalography (MEG) Study (MEG-AGING)

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04036162
• Other study ID #: 38RC18.294
• Secondary ID: 2019-A01065-52
• Status: Completed
• Phase: N/A
• Start date: October 1, 2019
• Est. completion date: June 22, 2021

Study information

• Verified date: May 2022
• Source: University Hospital, Grenoble
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

Depending on the point of view, different definitions of aging have been proposed. Thus, at the biological level, aging corresponds to a natural physiological process that leads to the progressive degeneration of cells and the slowing down of the vital functions of a living organism. More generally, aging is a multifactorial and multidimensional process that occurs at the cognitive, social, biological or psychological level.

The primary objective of this study is to evaluate the balance between activation (Task-Positive Network : TPN-Language, L, TPN-Verticality, V) and rest (Task-Negative Network : TNN) activity during normal aging, in two domains (language and posturo-spatial perception of verticality).

Description:

From a cognitive point of view, although healthy older people become slower to analyze information, they remain just as accurate as young adults in performing different cognitive tasks. This necessarily implies compensation processes, with new cognitive strategies and a restructuring of the brain networks underlying these processes. These compensatory phenomena are known under the general name of neurocognitive reserve.

Specific functions such as language, visuospatial skills, motor control, posture, or memory, are affected in a very variable way among the elderly. This variability involves multiple cognitive profiles rather than just one form of aging. Indeed, healthy aging can be defined cognitively in two ways, as a homogeneous or rather heterogeneous process. According to the homogeneous hypothesis of aging, the behavioral, cognitive and brain-like manifestations are similar among the elderly, without differentiation between functions. In other words, according to this hypothesis, aging would affect all the elderly and cognitive processes in the same way. Conversely, according to the heterogeneous hypothesis, significant differences should be revealed between individuals and in the same individual according to different cognitive processes. This heterogeneity is explained by multiple factors (genetic, environmental, societal, educational, or lifestyle). If neuropsychological tests or behavioral experiments (and performance of the task) allow to identify rather easily the differences encountered among the elderly in terms of cognitive heterogeneity, this differential activity at the cerebral level is more difficult to highlight. Functional neuroimaging methods and techniques can provide a pathway for this purpose, to provide both spatial information (involved brain regions) and temporal information (dynamics of brain activation) when performing cognitive tasks or when the rest period.

In this context, the magnetoencephalography (MEG) method is a preferred technique that can provide all these types of information on brain activity. Two types of networks can therefore be recorded : task-positive network (TPN) activated when the participant is involved in a task (in this project, language and posture / verticality), and task-negative network (TNN) specific to the state of rest , represented by regions that are called "deactivated". These two networks will therefore be characterized in the study by the following parameters: (a) network: set of regions involved; (b) temporal dynamics of their activity, and (c) functional connectivity between the regions of TPN and TNN.

To answer the question of homogeneity vs. heterogeneity of cognitive cerebral aging, TPNs vs. TNN will be compared in a group of healthy young adults compared to a group of healthy elderly subjects. The comparison will be made for the three categories of parameters mentioned above (a-c).

Recruitment information / eligibility

• Status: Completed
• Enrollment: 24
• Est. completion date: June 22, 2021
• Est. primary completion date: June 22, 2021
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 25 Years to 85 Years

Eligibility

Inclusion Criteria:

• Healthy volunteers from 25 to 85 years old : young group (25-49 years) / aged group (50 to 85 years)

• Right-handed

• Signed informed consent

• French mother tongue

• Speaking fluent French

• Normal or corrected view

• Medical examination conducted prior to participation in the trial

• Registered in the French social security scheme

Exclusion Criteria:

• Contraindication to Magnetoencephalography (MEG) and/or Magnetic resonance imaging (MRI) : implanted material, claustrophobia,…

• Generally severe condition: cardiac, respiratory, hematological, kidney, liver, cancer

• Regular use of anxiolytics, sedatives, antidepressants, neuroleptics

• Psychiatric pathology characterized

• Alcohol ingestion before the exam

• All categories of protected persons (Pregnant or lactating women, persons subject to a legal protection measure, persons deprived of their liberty by judicial or administrative decision)

• Alcohol ingestion before the exam

• Participation in other ongoing clinical trial with exclusion period or in the previous week

• Score MINI MENTAL STATE EXAMINATION (MMSE) < 24

Related Conditions & MeSH terms

• Healthy Volunteers

Intervention

Behavioral:
• Cognitive tasks
MagnetoEncephaloGraphy (MEG) records

Locations

Country	Name	City	State
France	CHUGA	Grenoble

Sponsors (3)

Lead Sponsor	Collaborator
University Hospital, Grenoble	Commissariat A L'energie Atomique, Laboratoire de Psychologie et NeuroCognition

Country where clinical trial is conducted

France, 

References & Publications (3)

Baciu M, Boudiaf N, Cousin E, Perrone-Bertolotti M, Pichat C, Fournet N, Chainay H, Lamalle L, Krainik A. Functional MRI evidence for the decline of word retrieval and generation during normal aging. Age (Dordr). 2016 Feb;38(1):3. doi: 10.1007/s11357-015-9857-y. Epub 2015 Dec 28. — View Citation

Boudiaf N, Laboissière R, Cousin É, Fournet N, Krainik A, Baciu M. Behavioral evidence for a differential modulation of semantic processing and lexical production by aging: a full linear mixed-effects modeling approach. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2018 Jan;25(1):1-22. doi: 10.1080/13825585.2016.1257100. Epub 2016 Nov 24. — View Citation

Hoyau E, Roux-Sibilon A, Boudiaf N, Pichat C, Cousin E, Krainik A, Jaillard A, Peyrin C, Baciu M. Aging modulates fronto-temporal cortical interactions during lexical production. A dynamic causal modeling study. Brain Lang. 2018 Sep;184:11-19. doi: 10.1016/j.bandl.2018.06.003. Epub 2018 Jun 15. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Balance between activation (TPN-Language, L, TPN-Verticality, V) and rest (TNN) activity during normal aging, in two domains (language and posturo-spatial perception of verticality) recorded by magnetoencephalography (MEG)	Evoked and continuous magnetic fields recorded during both cognitive tasks and during the rest period	2 hours
Secondary	Correlation between neuropsychological scores and brain activation or functional connectivity parameters recorded by magnetoencephalography (MEG) depending on both domains studied	Neuropsychological scores on tests for all participants : frontal cognitive functioning; anxiety and/or depressive symptoms; executive functions; verbal intelligence; language; Advanced analyses of cerebral activity as measured by MEG; frequency time analyses via spectral decomposition (induced brain rhythms); functional and effective connectivity analysis through coherence, phase locking value, and Dynamic Causal Modelling measures	1 hour