Abnormally reduced frontal cortex activity during Trail-Making-Test in prodromal parkinson's disease–a fNIRS study

Hofmann, Anna; Rosenbaum, David; Int-Veen, Isabell; Ehlis, Ann‐Christine; Brockmann, Kathrin; Dehnen, Katja; Thaler, Anna‐Katharina von; Berg, Daniela; Fallgatter, Andreas J.; Metzger, Florian

doi:10.1016/j.neurobiolaging.2021.04.014

Cited by 10 publications

(10 citation statements)

References 52 publications

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“…Finally, one article by Hofmann and colleagues assessed PD converters (almost every one of whom was not diagnosed with PD at the time of the examination) and HC using the Trail-Making Test [ 78 ]. They found reduced activation of the right dorsolateral prefrontal cortex with increasing task difficulty in PD—on the contrary, the HC exhibited increasing activation with escalating task difficulty.…”

Section: Resultsmentioning

confidence: 99%

The Contribution of Functional Near-Infrared Spectroscopy (fNIRS) to the Study of Neurodegenerative Disorders: A Narrative Review

Liampas,

Danga,

Kyriakoulopoulou

et al. 2024

Diagnostics

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Functional near-infrared spectroscopy (fNIRS) is an innovative neuroimaging method that offers several advantages over other commonly used modalities. This narrative review investigated the potential contribution of this method to the study of neurodegenerative disorders. Thirty-four studies involving patients with Alzheimer’s disease (AD), mild cognitive impairment (MCI), frontotemporal dementia (FTD), Parkinson’s disease (PD), or amyotrophic lateral sclerosis (ALS) and healthy controls were reviewed. Overall, it was revealed that the prefrontal cortex of individuals with MCI may engage compensatory mechanisms to support declining brain functions. A rightward shift was suggested to compensate for the loss of the left prefrontal capacity in the course of cognitive decline. In parallel, some studies reported the failure of compensatory mechanisms in MCI and early AD; this lack of appropriate hemodynamic responses may serve as an early biomarker of neurodegeneration. One article assessing FTD demonstrated a heterogeneous cortical activation pattern compared to AD, indicating that fNIRS may contribute to the challenging distinction of these conditions. Regarding PD, there was evidence that cognitive resources (especially executive function) were recruited to compensate for locomotor impairments. As for ALS, fNIRS data support the involvement of extra-motor networks in ALS, even in the absence of measurable cognitive impairment.

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Section: Resultsmentioning

confidence: 99%

The Contribution of Functional Near-Infrared Spectroscopy (fNIRS) to the Study of Neurodegenerative Disorders: A Narrative Review

Liampas,

Danga,

Kyriakoulopoulou

et al. 2024

Diagnostics

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“…Accordingly, one might assume that even the concomitant FC changes during task performance are not expected to appear before that age, either. However, Hofmann et al 43 observed a significantly reduced neural activity in the right DLPFC also via fNIRS within prodromal Parkinson’s Disease patients completing the TMT-A and -B in contrast to the TMT-C, even before differences became evident on the behavioral level.…”

Section: Discussionmentioning

confidence: 97%

“…Besides, the spatial specificity of fNIRS compared to fMRI is reduced, which means that measuring FC within a region by correlation techniques can overestimate the real FC because the individual channels may access overlapping areas. Anyway, the combination of fNIRS with the TMT has already been shown to be suitable for the investigation of elderly as well as the detection of aging-related differences in resulting cortical activation patterns 2 , 43 , 90 , 91 . The TMT allows the integration into many clinical study settings because it is an easy-to-handle paper–pencil task that offers a natural testing situation and does not provoke any artifacts by activating the mimic musculature by speech.…”

Section: Discussionmentioning

confidence: 99%

“…Performing the TMT therefore induces an activation of the CCN as well as the DAN, as it activates the dorsal parts of the lateral prefrontal cortex (DLPFC), cingulate cortex (dACC = dorsal anterior cingulate cortex) and parietal cortex/somatosensory association cortex 40 – 42 . We chose fNIRS as it not only exhibits the particular advantage of being applicable to participants sitting at a desk in an upright position to perform the task (including hand/arm movements) under natural conditions 38 , but also because it is known to reliably reflect cortical activity in the above named areas in an elderly cohort 26 , 43 .…”

Section: Introductionmentioning

confidence: 99%

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Effects of aging on functional connectivity in a neurodegenerative risk cohort: resting state versus task measurement using near-infrared spectroscopy

Blum¹,

Hofmann

Rosenbaum³

et al. 2022

Sci Rep

Self Cite

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Changes in functional brain organization are considered to be particularly sensitive to age-related effects and may precede structural cognitive decline. Recent research focuses on aging processes determined by resting state (RS) functional connectivity (FC), but little is known about differences in FC during RS and cognitive task conditions in elderly participants. The purpose of this study is to compare FC within and between the cognitive control (CCN) and dorsal attention network (DAN) at RS and during a cognitive task using functional near-infrared spectroscopy (fNIRS). In a matched, neurodegenerative high-risk cohort comprising early (n = 98; 50–65 y) and late (n = 98; 65–85 y) elder subjects, FC was measured at RS and during performance of the Trail Making Test (TMT) via fNIRS. Both, under RS and task conditions our results revealed a main effect for age, characterized by reduced FC for late elder subjects within the left inferior frontal gyrus. During performance of the TMT, negative correlations of age and FC were confirmed in various regions of the CCN and DAN. For the whole sample, FC of within-region connections was elevated, while FC between regions was decreased at RS. The results confirm a reorganization of functional brain connectivity with increasing age and cognitive demands.

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“…While biomarkers will never replace clinical examinations, objective testing may provide patients with a more reliable measure than that provided by history and physical examination. Functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) are often used to study the correlation between brain and body movement [6]. By comparing the oxygenated hemoglobin and deoxygenated hemoglobin indexes of patients and normal people during marching, they can also provide biological characteristics of Parkinson's disease [7].…”

Section: Bci In Parkinson's Diseasementioning

confidence: 99%

Application of Non-invasive Brain-computer Interface in Neurodegenerative Disorder Diseases

Liu

Wang

2023

TNS

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Neurodegenerative diseases (ND) are characterized by gradual loss of selectively susceptible neuron populations, usually presented by cognitive disorder and movement ability impairment, and cause great distress to patients and those close to them. The diagnosis and rehabilitation of NDs have been an unsolved challenge for many years, but brain-computer interface (BCI), a vigorously growing research area, may provide a promising tool to solve the problems. Here, we first briefly introduced the working principle of BCI, then take a few of the most common neurodegenerative diseases as an example to introduce the nowadays BCI application on NDs diagnosis and rehabilitation. This article will help researchers to gain a general understanding and appreciation of this field, and provide assistance for related studies.

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Abnormally reduced frontal cortex activity during Trail-Making-Test in prodromal parkinson's disease–a fNIRS study

Cited by 10 publications

References 52 publications

The Contribution of Functional Near-Infrared Spectroscopy (fNIRS) to the Study of Neurodegenerative Disorders: A Narrative Review

The Contribution of Functional Near-Infrared Spectroscopy (fNIRS) to the Study of Neurodegenerative Disorders: A Narrative Review

Effects of aging on functional connectivity in a neurodegenerative risk cohort: resting state versus task measurement using near-infrared spectroscopy

Application of Non-invasive Brain-computer Interface in Neurodegenerative Disorder Diseases

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