Frequency-dependent and time-variant alterations of neural activity in post-stroke depression: A resting-state fMRI study

Wu, Xiumei; Wang, Luoyu; Jiang, Haibo; Fu, Ye; Wang, Tiantian; Ma, Zhenqiang; Wu, Xiaoyan; Wang, Yiying; Fan, Fengmei; Song, Yulin; Lv, Yating

doi:10.1016/j.nicl.2023.103445

Cited by 5 publications

(10 citation statements)

References 91 publications

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“…However, only two studies have investigated abnormal dALFF variance in PSD (Wu et al, 2023;Yao et al, 2020). These studies observed that patients with PSD exhibited a decreased dALFF variance in the distinct regions at baseline, including the contralesional superior temporal gyrus (Wu et al, 2023) and the right precuneus (Yao et al, 2020). Moreover, the abnormal dALFF variance was reversed after antidepressant treatment (Yao et al, 2020).…”

Section: Differences In Dalff Variancementioning

confidence: 99%

“…DALFF may be more powerful than static ALFF for disease diagnosis (Li et al, 2020;Cui et al, 2020) and prediction (Cui et al, 2020). However, only two studies have investigated abnormal dALFF variance in PSD (Wu et al, 2023;Yao et al, 2020). These studies observed that patients with PSD exhibited a decreased dALFF variance in the distinct regions at baseline, including the contralesional superior temporal gyrus (Wu et al, 2023) and the right precuneus (Yao et al, 2020).…”

Section: Differences In Dalff Variancementioning

confidence: 99%

“…The amplitude of low-frequency uctuation (ALFF) is a reliable method characterizing the intensities of local neural oscillations in the range of 0.01-0.08 Hz and is widely used to characterize the abnormal alterations of regional brain activity in various diseases (Zuo et al, 2010;Zhang et al, 2022). ALFF has also been utilized to investigate the potential neural mechanism of PSD, revealing that the aberrant spontaneous local neural activity across the brain is associated with depressive severity (Egorova et al, 2017;Wu et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

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Characteristic alterations of dynamic amplitude of low-frequency fluctuation in patients with post-stroke depression

Lu,

Wang

et al. 2024

Preprint

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The abnormalities in static brain activity in patients with post-stroke depression (PSD) have been widely reported. However, the dynamics of neural activity in PSD remain enigmatic. We investigated the abnormalities in dynamic neural activity in patients with PSD with the dynamic amplitude of low-frequency fluctuation (dALFF) method. Imaging and clinical data from 25 patients with PSD and 28 without PSD collected from April 2020 to June 2023 were evaluated. The between-group comparisons of dALFF variance and state properties were conducted using a combined approach of sliding window and clustering analysis. The correlation coefficients between abnormal dALFF variance and ALFF in the distinguished regions (DRs) and depression severity of PSD were calculated. Compared with that in patients without PSD, decreased dALFF variance in patients with PSD was mainly located in lower dALFF variance in multiple emotion-related brain regions. The dALFF was clustered into four states in all patients. In particular, state 3 was the remarkably distinct state that dwelled for more time in the PSD group. There was a negative correlation between decreased dALFF variance in the right parietal cortex and Hamilton Rating Scale for Depression (HAMD) scores in patients with PSD. ALFF values in the DRs showed no correlation with the HAMD score. Our results suggest that patients with PSD showed characteristic alterations in dynamic regional neural activity, which might be regarded as potential neural mechanisms of PSD. This study demonstrates the dynamic features of neural activity in PSD, which may advance future neuroimaging studies.

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Section: Differences In Dalff Variancementioning

confidence: 99%

Section: Differences In Dalff Variancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Characteristic alterations of dynamic amplitude of low-frequency fluctuation in patients with post-stroke depression

Lu,

Wang

et al. 2024

Preprint

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“… 7 To date, rs‐fMRI has been employed to detect the local functional abnormalities in PSD. 8 , 9 , 10 , 11 For example, our previous study found that PSD‐specific alterations of local neural activity were frequency‐dependent and time‐variant. 11 However, these studies mainly focused on elucidating the neural activity changes in specific brain areas.…”

Section: Introductionmentioning

confidence: 99%

Abnormal intrinsic functional hubs and connectivity in patients with post‐stroke depression

Wu,

Xu,

et al. 2024

Ann Clin Transl Neurol

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ObjectiveThe present study aimed to investigate the specific alterations of brain networks in patients with post‐stroke depression (PSD), and further assist in elucidating the brain mechanisms underlying the PSD which would provide supporting evidence for early diagnosis and interventions for the disease.MethodsResting‐state functional magnetic resonace imaging data were acquired from 82 nondepressed stroke patients (Stroke), 39 PSD patients, and 74 healthy controls (HC). Voxel‐wise degree centrality (DC) conjoined with seed‐based functional connectivity (FC) analyses were performed to investigate the PSD‐related connectivity alterations. The relationship between these alterations and depression severity was further examined in PSD patients.ResultsRelative to both Stroke and HC groups, (1) PSD showed increased centrality in regions within the default mode network (DMN), including contralesional angular gyrus (ANG), posterior cingulate cortex (PCC), and hippocampus (HIP). DC values in contralesional ANG positively correlated with the Patient Health Questionnaire‐9 (PHQ‐9) scores in PSD group. (2) PSD exhibited increased connectivity between these three seeds showing altered DC and regions within the DMN: bilateral medial prefrontal cortex and middle temporal gyrus and ipsilesional superior parietal gyrus, and regions outside the DMN: bilateral calcarine, ipsilesional inferior occipital gyrus and contralesional lingual gyrus, while decreased connectivity between contralesional ANG and contralesional supramarginal gyrus. Moreover, these FC alterations could predict PHQ‐9 scores in PSD group.InterpretationThese findings highlight that PSD was related with increased functional connectivity strength in some areas within the DMN, which might be attribute to the specific alterations of connectivity between within DMN and outside DMN regions in PSD.

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“…The analysis of amplitude of low-frequency fluctuations (ALFF) is a reliable and reproducible resting-state functional magnetic resonance imaging (rs-fMRI) technique utilized for measurement of regional spontaneous neuronal activity (Zang et al, 2007). The ALFF has been widely used to locate abnormal functional activities associated with various brain disorders by calculating the amplitude of low-frequency oscillation of each voxel (Zang et al, 2007;Cao et al, 2018;Li et al, 2019;Cui et al, 2020;Wu et al, 2023). Prior study have illustrated that local properties (i.e., ALFF) play a crucial role in comprehending the neural pathology associated with stroke (Quan et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes

Wang,

Liu,

Guo

et al. 2023

Front. Aging Neurosci.

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IntroductionThe objective of this study was to characterize the alteration patterns of dynamic spatiotemporal activity in chronic subcortical stroke patients with varying motor outcomes, while investigating the imaging indicators relevant to the assessment of potential cognitive deficits in these patients.MethodsA total of 136 patients and 88 normal controls were included in the analysis of static and dynamic intrinsic brain activity, determined by amplitude of low-frequency fluctuations.ResultsThe findings unveiled that subcortical stroke patients exhibited significantly aberrant temporal dynamics of intrinsic brain activity, involving regions within multiple brain networks. These spatiotemporal patterns were found to be contingent upon the side of the lesion. In addition, these aberrant metrics demonstrated potential in discerning cognitive deficits in stroke patients with memory impairment, with the dynamic indices exerting more influence than the static ones. The observe findings may indicate that subcortical stroke can trigger imbalances in the segregation and integration of spatiotemporal patterns across the entire brain with multi-domain networks, especially in patients with poor motor outcomes.ConclusionIt suggests that the temporal dynamics indices of intrinsic brain activity could serve as potential imaging indicators for assessing cognitive impairment in patients with chronic subcortical stroke, which may be associated with the motor outcomes.

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Frequency-dependent and time-variant alterations of neural activity in post-stroke depression: A resting-state fMRI study

Cited by 5 publications

References 91 publications

Characteristic alterations of dynamic amplitude of low-frequency fluctuation in patients with post-stroke depression

Characteristic alterations of dynamic amplitude of low-frequency fluctuation in patients with post-stroke depression

Abnormal intrinsic functional hubs and connectivity in patients with post‐stroke depression

Dynamic brain activity states of memory impairment in stroke patients with varying motor outcomes

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