Improving fMRI in Parkinson's disease by accounting for brain region-specific activity patterns

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023884%3A_____%2F23%3A00009680" target="_blank" >RIV/00023884:_____/23:00009680 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11110/23:10467677 RIV/00064165:_____/23:10467677

Result on the web

<a href="https://www-sciencedirect-com.ezproxy.lib.cas.cz/science/article/pii/S2213158223000852" target="_blank" >https://www-sciencedirect-com.ezproxy.lib.cas.cz/science/article/pii/S2213158223000852</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.nicl.2023.103396" target="_blank" >10.1016/j.nicl.2023.103396</a>

Result language

angličtina

Original language name

Improving fMRI in Parkinson's disease by accounting for brain region-specific activity patterns

Original language description

In functional magnetic imaging (fMRI) in Parkinson's disease (PD), a paradigm consisting of blocks of finger tapping and rest along with a corresponding general linear model (GLM) is often used to assess motor activity. However, this method has three limitations: (i) Due to the strong magnetic field and the confined environment of the cylindrical bore, it is troublesome to accurately monitor motor output and, therefore, variability in the performed movement is typically ignored. (ii) Given the loss of dopaminergic neurons and ongoing compensa-tory brain mechanisms, motor control is abnormal in PD. Therefore, modeling of patients' tapping with a con-stant amplitude (using a boxcar function) and the expected Parkinsonian motor output are prone to mismatch. (iii) The motor loop involves structures with distinct hemodynamic responses, for which only one type of modeling (e.g., modeling the whole block of finger tapping) may not suffice to capture these structure's temporal activation. The first two limitations call for considering results from online recordings of the real motor output that may lead to significant sensitivity improvements. This was shown in previous work using a non-magnetic glove to capture details of the patients' finger movements in a so-called kinematic approach. For the third limi-tation, modeling motion initiation instead of the whole tapping block has been suggested to account for different temporal activation signatures of the motor loop's structures. In the present study we propose improvements to the GLM as a tool to study motor disorders. For this, we test the robustness of the kinematic approach in an expanded cohort (n = 31), apply more conservative statistics than in previous work, and evaluate the benefits of an event-related model function. Our findings suggest that the integration of the kinematic approach offers a general improvement in detecting activations in subcortical structures, such as the basal ganglia. Additionally, modeling motion initiation using an event-related design yielded superior performance in capturing medication -related effects in the putamen. Our results may guide adaptations in analysis strategies for functional motor studies related to PD and also in more general applications.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30103 - Neurosciences (including psychophysiology)

Project

<a href="/en/project/LX22NPO5107" target="_blank" >LX22NPO5107: National institute for Neurological Research</a><br>

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

NeuroImage: Clinical

ISSN

2213-1582

e-ISSN

—

Volume of the periodical

38

Issue of the periodical within the volume

April

Country of publishing house

US - UNITED STATES

Number of pages

11

Pages from-to

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UT code for WoS article

001054394800001

EID of the result in the Scopus database

2-s2.0-85152675443