A promising tool to explore functional impairment in neurodegeneration: A systematic review of near-infrared spectroscopy in dementia.

Butters, Emilia; Srinivasan, Sruthi; O’Brien, John T.; Su, Li; Bale, Gemma

doi:10.1016/j.arr.2023.101992

Cited by 4 publications

(2 citation statements)

References 116 publications

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“…This sequence is often captured by functional neuroimaging as increased cerebral perfusion (higher metabolic needs required for the preservation of normal functions) followed by decreased brain perfusion (limited metabolic needs due to more severe neurodegeneration) [ 11 ]. Hemodynamic responses (and, in turn, patterns of cortical activation and neural compensation or degeneration) can be quantified with fNIRS [ 12 , 13 ].…”

Section: Discussionmentioning

confidence: 99%

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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: Discussionmentioning

confidence: 99%

“…Brain activity is quantified in fNIRS by capturing hemodynamic responses. Evidence for both hypo- and hyper-activation (hypo- and hyper-perfusion) has been reported in prodromal disease stages; the latter is suggestive of compensatory responses in which alternate brain networks are recruited to counteract neurodegeneration [ 12 , 13 ].…”

Section: Introductionmentioning

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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fNIRS as a biomarker for individuals with subjective memory complaints and MCI

Lee,

Guo,

Chan

2024

Alzheimer's & Dementia

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INTRODUCTIONIdentifying individuals at risk of developing dementia is crucial for early intervention. Mild cognitive impairment (MCI) and subjective memory complaints (SMCs) are considered its preceding stages. This study aimed to assess the utility of functional near‐infrared spectroscopy (fNIRS) in identifying individuals with MCI and SMC.METHODSOne hundred fifty‐one participants were categorized into normal cognition (NC); amnestic MCI (aMCI); non‐amnestic MCI (naMCI); and mild, moderate, and severe SMC groups. Task‐related prefrontal hemodynamics were measured using fNIRS during a visual memory span task.RESULTSResults showed significantly lower oxyhemoglobin (HbO) levels in aMCI, but not in naMCI, compared to the NC. In addition, severe SMC had lower HbO levels than the NC, mild, and moderate SMC. Receiver operating characteristic analysis demonstrated 69.23% and 69.70% accuracy in differentiating aMCI and severe SMC from NC, respectively.DISCUSSIONFNIRS may serve as a potential non‐invasive biomarker for early detection of dementia.Highlights Only amnestic mild cognitive impairment (aMCI), but not non‐amnestic MCI, showed lower oxyhemoglobin (HbO) than normal individuals. Reduced HbO was observed in those with severe subjective memory complaints (SMCs) compared to normal cognition (NC), mild, and moderate SMCs. Functional near‐infrared spectroscopy measures were associated with performance in memory assessments. Prefrontal hemodynamics could distinguish aMCI and severe SMC from NC.

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A functional neuroimaging biomarker of mild cognitive impairment using TD-fNIRS

Dubois,

Duffy,

Field

et al. 2024

Preprint

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INTRODUCTION: Diagnostic assessments of mild cognitive impairment (MCI) are lengthy and burdensome, highlighting the need for new tools to detect MCI. Time-domain functional near-infrared spectroscopy (TD-fNIRS) can measure brain function in clinical settings and may address this need. METHODS: MCI patients (n=50) and age-matched healthy controls (HC; n=51) underwent TD-fNIRS recordings during cognitive tasks (verbal fluency, N-back). Machine learning models were trained to distinguish MCI from HC using neural activity, cognitive task behavior, and self-reported impairment as input features. RESULTS: Significant group-level differences (MCI vs HC) were demonstrated in self-report, N-back and verbal fluency behavior, and task-related brain activation. Classifier performance was similar when using self-report (AUC=0.76) and self-report plus behavior (AUC=0.79) as input features, but was strongest when neural metrics were included (AUC=0.92). DISCUSSION: This study demonstrates the potential of TD-fNIRS to assess MCI with short brain scans in clinical settings.

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A promising tool to explore functional impairment in neurodegeneration: A systematic review of near-infrared spectroscopy in dementia.

Cited by 4 publications

References 116 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

fNIRS as a biomarker for individuals with subjective memory complaints and MCI

A functional neuroimaging biomarker of mild cognitive impairment using TD-fNIRS

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