Prefrontal cortex alterations in major depressive disorder, generalized anxiety disorder and their comorbidity during a verbal fluency task assessed by multi-channel near-infrared spectroscopy

Hu, Shuang; Li, Xiaojun; Law, Syk; Shen, Chenyu; Yao, Guanqun; Zhang, Xiaoqian; Li, Juan; Chen, Guifang; Xu, Bo; Liu, Xiaomin; Xl, Ma; Feng, Kun; Liu, Pozi

doi:10.1016/j.psychres.2021.114229

Cited by 19 publications

(11 citation statements)

References 124 publications

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“…The near-infrared detection of multiple cognitive tasks presents the vascular coupling mechanism of the prefrontal neural network and neural working loops. Our articles (15)(16)(17) support the idea that the intracellular signal pathway network is blocked under stress as proposed by Arnsten (18). Aided by fNIRS, the sub-systems of the working memory network are represented, namely the attentional working memory primary coordination network, the perceptual content working memory secondary network, and the emotionalbehavior working memory executive network.…”

Section: Discussion and Future Directionssupporting

confidence: 65%

“…The symptoms (states) are identified and analyzed in the way of full-channel waveform, phase changes, and waveform composition ratios, and six typical waveforms (see Figure 2 ) with clinical significance are summarized to correlate with the typical symptom among various mental disorders ( 17 ). It has helped in the diagnosis of bipolar disorder and unipolar depression ( 15 ), major depressive disorder and generalized anxiety disorder ( 16 ), schizophrenia ( 28 ), and other mental disorders.…”

Section: Multi-cognitive Tasks Paradigmmentioning

confidence: 99%

“…In recent years, several studies have shown that patients with psychiatric disorders have impaired function in the prefrontal cortex [e.g., (9,10)]. The fluctuation differences of the [oxy-Hb] and [deoxy-Hb] among different regions of the prefrontal cortex can characterize different types of mental disorders (11)(12)(13)(14)(15)(16)(17). To some degree, the functions of the prefrontal cortex could reflect the working patterns of working memory networks (18).…”

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confidence: 99%

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The promising fNIRS: Uncovering the function of prefrontal working memory networks based on multi-cognitive tasks

Ren

Chen²,

Zhang³

et al. 2022

Front. Psychiatry

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The diversity of cognitive task paradigms using functional near-infrared spectroscopy (fNIRS) and the lack of theoretical explanations for these functional imaging atlases have greatly hindered the application of fNIRS in psychiatry. The fNIRS brain imaging based on multiple cognitive tasks could generally reflect the working patterns and neurovascular coupling changes in the prefrontal working memory network. By alternating the stimulation patterns of resting and task states, six typical symptom-related functional brain imaging waveforms related to psychiatric disorders are identified and three joint networks of the prefrontal working memory, namely, the attentional working memory primary coordination network, the perceptual content working memory secondary network, and the emotional-behavioral working memory executive network, are initially represented. This is the first attempt to characterize the cognitive, emotional, and behavioral regulation of the prefrontal working memory network using fNIRS, which may promote the application of fNIRS in clinical settings.

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Section: Discussion and Future Directionssupporting

confidence: 65%

Section: Multi-cognitive Tasks Paradigmmentioning

confidence: 99%

mentioning

confidence: 99%

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The promising fNIRS: Uncovering the function of prefrontal working memory networks based on multi-cognitive tasks

Ren

Chen²,

Zhang³

et al. 2022

Front. Psychiatry

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“…Subsequent studies delved deeper into the link between prefrontal brain activity and depression. Hu et al ( 36 ) found that MDD patients had significantly lower activation in the right prefrontal cortex. The right frontal lobe brain activity in persons with depression is reduced compared with the left side, and the approach motivation is weakened ( 37 ).…”

Section: Discussionmentioning

confidence: 99%

Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder

Lei¹,

Liu²,

Gao³

et al. 2022

Front. Psychiatry

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BackgroundDue to substantial comorbidities of major depressive disorder (MDD) and anxiety disorder (AN), these two disorders must be distinguished. Accurate identification and diagnosis facilitate effective and prompt treatment. EEG biomarkers are a potential research hotspot for neuropsychiatric diseases. The purpose of this study was to investigate the differences in EEG power spectrum at theta oscillations between patients with MDD and patients with AN.MethodsSpectral analysis was used to study 66 patients with MDD and 43 patients with AN. Participants wore 16-lead EEG caps to measure resting EEG signals. The EEG power spectrum was measured using the fast Fourier transform. Independent samples t-test was used to analyze the EEG power values of the two groups, and p < 0.05 was statistically significant.ResultsEEG power spectrum of the MDD group significantly differed from the AN group in the theta oscillation on 4–7 Hz at eight electrode points at F3, O2, T3, P3, P4, FP1, FP2, and F8.ConclusionParticipants with anxiety demonstrated reduced power in the prefrontal cortex, left temporal lobe, and right occipital regions. Confirmed by further studies, theta oscillations could be another biomarker that distinguishes MDD from AN.

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“…The task-based decrease in oxygenated hemoglobin (HbO) concentration was related to the severity of depression [ 23 , 24 , 25 ]. In addition, the distinct pattern of activation of the cortex on regional changes in oxy-Hb may reflect specific functional abnormalities within different subtypes of depression [ 26 ], and it may help to distinguish MDD from other mental disorders, such as bipolar disorder [ 27 , 28 ], generalized anxiety disorder (GAD) [ 29 ], and borderline personality disorder [ 30 ]. The majority of the fNIRS studies adopted protocols of tasks to distinguish the depressed from the healthy [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Intrinsic Organization of Occipital Hubs Predicts Depression: A Resting-State fNIRS Study

Wang

et al. 2022

Brain Sciences

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Dysfunctional brain networks have been found in patients with major depressive disorder (MDD). In this study, to verify this in a more straightforward way, we investigated the intrinsic organization of brain networks in MDD by leveraging the resting-state functional near-infrared spectroscopy (rs-fNIRS). Thirty-four MDD patients (24 females, 38.41 ± 13.14 years old) and thirty healthy controls (22 females, 34.43 ± 5.03 years old) underwent a 10 min rest while their brain activity was recorded via fNIRS. The results showed that MDD patients and healthy controls exhibited similar resting-state functional connectivity. Moreover, the depression group showed lower small-world Lambda (1.12 ± 0.04 vs. 1.16 ± 0.10, p = 0.04) but higher global efficiency (0.51 ± 0.03 vs. 0.48 ± 0.05, p = 0.03) than the control group. Importantly, MDD patients, as opposed to healthy controls, showed a significantly lower nodal local efficiency at the left middle occipital gyrus (0.56 ± 0.36 vs. 0.81 ± 0.20, pFDR < 0.05), which predicted the level of depression in MDD (r = 0.45, p = 0.01, R2 = 0.15). In sum, we found a more integrated brain network in MDD patients with a lower nodal local efficiency at the occipital hub, which could predict depressive symptoms.

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Prefrontal cortex alterations in major depressive disorder, generalized anxiety disorder and their comorbidity during a verbal fluency task assessed by multi-channel near-infrared spectroscopy

Cited by 19 publications

References 124 publications

The promising fNIRS: Uncovering the function of prefrontal working memory networks based on multi-cognitive tasks

The promising fNIRS: Uncovering the function of prefrontal working memory networks based on multi-cognitive tasks

Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder

Intrinsic Organization of Occipital Hubs Predicts Depression: A Resting-State fNIRS Study

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