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Significance: Functional near-infrared spectroscopy (fNIRS) enables neuroimaging in scenarios where other modalities are less suitable, such as during motion tasks or in low-resource environments. Sparse fNIRS arrays with 30 mm channel spacing are widely used but have limited spatial resolution. High-density (HD) arrays with overlapping, multidistance channels improve sensitivity and localization but increase costs and setup times. A statistical comparison of HD and sparse arrays is needed for evaluating the benefits and trade-offs of HD arrays.
Aim: This study provides a statistical comparison of HD and sparse fNIRS performance to inform array selection in future research.
Approach: We measured prefrontal cortex (PFC) activation during congruent and incongruent word-color Stroop (WCS) tasks using both sparse and HD arrays for 17 healthy adult participants, comparing dorsolateral PFC channel and image results at the group level.
Results: Although both arrays detected activation in channel space during incongruent WCS, channel and image space results demonstrated superior localization and sensitivity with the HD array for all WCS.
Conclusion: Sparse channel data may suitably detect activation from cognitively demanding tasks, such as incongruent WCS. However, the HD array outperformed sparse in detecting and localizing brain activity in image space, particularly during lower cognitive load tasks, making it more suitable for neuroimaging applications.
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http://dx.doi.org/10.1117/1.NPh.12.3.035010 | DOI Listing |
Biol Cybern
September 2025
School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China.
Correlated spiking has been widely found in large population of neurons and been linked to neural coding. Transcranial alternating current stimulation (tACS) is a promising non-invasive brain stimulation technique that can modulate the spiking activity of neurons. Despite its growing application, the tACS effects on the temporal correlation between spike trains are still not fully understood.
View Article and Find Full Text PDFMol Psychiatry
September 2025
Center for Gene Regulation in Health and Disease, Cleveland State University, Cleveland, OH, 44115, USA.
Dysregulated spine morphology is a common feature in the pathology of many neurodevelopmental and neuropsychiatric disorders. Overabundant immature dendritic spines in the hippocampus are causally related to cognitive deficits of Fragile X syndrome (FXS), the most common form of heritable intellectual disability. Recent findings from us and others indicate autophagy plays important roles in synaptic stability and morphology, and autophagy is downregulated in FXS neurons.
View Article and Find Full Text PDFNat Aging
September 2025
Department of Neurology, Mental and Neurological Disease Research Center, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Aging is a major risk factor for various neurological disorders, including Alzheimer's disease, and is associated with the accumulation of senescent cells, which can themselves propagate the senescence process through paracrine signaling. Migrasomes are organelles that form during cellular migration, detach from parent cells and mediate intercellular communication. Here we demonstrate that border-associated macrophages (BAMs) acquire senescence-associated properties during early brain aging, possibly due to prolonged exposure to amyloid beta.
View Article and Find Full Text PDFNat Commun
September 2025
Animal Physiology Unit, Institute of Neurobiology, University of Tübingen, Tübingen, Germany.
Interval timing, the ability to perceive and estimate durations between events, is essential for many animal behaviors. In mammals, it is linked to specific cortical and sub-cortical brain regions, but its neural basis in birds remains unclear. We trained two male carrion crows on a time estimation task using visual stimuli, cueing them to wait for a minimum duration of 1500 ms, 3000 ms, or 6000 ms before responding to receive a reward.
View Article and Find Full Text PDFNat Hum Behav
September 2025
Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou, China.
Understanding how sentences are represented in the human brain, as well as in large language models (LLMs), poses a substantial challenge for cognitive science. Here we develop a one-shot learning task to investigate whether humans and LLMs encode tree-structured constituents within sentences. Participants (total N = 372, native Chinese or English speakers, and bilingual in Chinese and English) and LLMs (for example, ChatGPT) were asked to infer which words should be deleted from a sentence.
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