Functional photoacoustic microscopy of hemodynamics: a review DOI
Chao Liu, Lidai Wang

Biomedical Engineering Letters, Год журнала: 2022, Номер 12(2), С. 97 - 124

Опубликована: Апрель 10, 2022

Язык: Английский

NIRS measures in pain and analgesia: Fundamentals, features, and function DOI
Keerthana Deepti Karunakaran, Ke Peng, Delany Berry

и другие.

Neuroscience & Biobehavioral Reviews, Год журнала: 2020, Номер 120, С. 335 - 353

Опубликована: Ноя. 5, 2020

Язык: Английский

Процитировано

53

Toward Neuroscience of the Everyday World (NEW) using functional near-infrared spectroscopy DOI
Alexander von Lühmann, Yilei Zheng, Antonio Ortega‐Martínez

и другие.

Current Opinion in Biomedical Engineering, Год журнала: 2021, Номер 18, С. 100272 - 100272

Опубликована: Фев. 6, 2021

Язык: Английский

Процитировано

53

Functional interferometric diffusing wave spectroscopy of the human brain DOI Creative Commons
Wenjun Zhou, Oybek Kholiqov, Jun Zhu

и другие.

Science Advances, Год журнала: 2021, Номер 7(20)

Опубликована: Май 12, 2021

Cerebral blood flow (CBF) is essential for brain function, and CBF-related signals can inform us about activity. Yet currently, high-end medical instrumentation needed to perform a CBF measurement in adult humans. Here, we describe functional interferometric diffusing wave spectroscopy (fiDWS), which introduces collects near-infrared light via the scalp, using inexpensive detector arrays rapidly monitor coherent fluctuations that encode index (BFI), surrogate CBF. Compared other optical approaches, fiDWS measures BFI faster deeper while also providing continuous absorption signals. Achieving clear pulsatile waveforms at source-collector separations of 3.5 cm, confirm BFI, not absorption, shows graded hypercapnic response consistent with human cerebrovascular physiology, has better contrast-to-noise ratio than during activation. By high-throughput measurements low cost, will expand access

Язык: Английский

Процитировано

45

Load-dependent relationships between frontal fNIRS activity and performance: A data-driven PLS approach DOI Creative Commons
Kimberly L. Meidenbauer, Kyoung Whan Choe,

Carlos Cardenas‐Iniguez

и другие.

NeuroImage, Год журнала: 2021, Номер 230, С. 117795 - 117795

Опубликована: Янв. 24, 2021

Neuroimaging research frequently demonstrates load-dependent activation in prefrontal and parietal cortex during working memory tasks such as the N-back. Most of this work has been conducted fMRI, but functional near-infrared spectroscopy (fNIRS) is gaining traction a less invasive more flexible alternative to measuring cortical hemodynamics. Few fNIRS studies, however, have examined how changes brain hemodynamics relate performance. The current study employs newly developed robust statistical analysis task-based data large sample, utility data-driven, multivariate analyses link behavior modality. Seventy participants completed standard N-back task with three levels (N = 1, 2, 3) while were collected from frontal cortex. Overall, showed reliably greater fronto-parietal for 2-back versus 1-back task, suggesting measurements are sensitive differences cognitive load. results 3-back much consistent, potentially due poor behavioral performance task. To address this, (behavioral partial least squares, PLS) was examine interaction between at each level. Results PLS demonstrated relationship accuracy change deoxyhemoglobin signal function level eight mid-frontal channels. Specifically, reductions (i.e., activation) positively related on unrelated negatively associated This pattern suggests that metabolic demands correlated neural activity required high vary consequence difficulty/cognitive load, whereby automaticity (less activity) predicted superior relatively easy successful engagement region difficult cognitively demanding In summary, we show can track load uncover significant associations performance, thus opening door modality be used wide-spread applications.

Язык: Английский

Процитировано

42

Functional photoacoustic microscopy of hemodynamics: a review DOI
Chao Liu, Lidai Wang

Biomedical Engineering Letters, Год журнала: 2022, Номер 12(2), С. 97 - 124

Опубликована: Апрель 10, 2022

Язык: Английский

Процитировано

36