The resting-state functional connectivity of amygdala subregions associated with post-traumatic stress symptom and sleep quality in trauma survivors

Wang, Zuxing; Zhu, Hongru; Yuan, Minlan; Li, Yuchen; Qiu, Changjian; Ren, Zhengjia; Yuan, Cui; Lui, Su; Gong, Qiyong; Zhang, Wei

doi:10.1007/s00406-020-01104-3

Cited by 9 publications

(10 citation statements)

References 78 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Twenty-one studies reported subregional activation in the amygdala. 17,[44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63] A summary of the data relating to these studies is reported in Table 2. Of these, 18 used the GE-EPI sequence and one each used the spiral and DE-EPI techniques, with one combining data acquired with both GE-EPI and ASL techniques.…”

Section: Results For Studies Reporting Subregional Findingsmentioning

confidence: 99%

Functional Magnetic Resonance Imaging of the Amygdala and Subregions at 3 Tesla: A Scoping Review

Foster

Breukelaar

Ekanayake

et al. 2023

Magnetic Resonance Imaging

View full text Add to dashboard Cite

The amygdalae are a pair of small brain structures, each of which is composed of three main subregions and whose function is implicated in neuropsychiatric conditions. Functional Magnetic Resonance Imaging (fMRI) has been utilized extensively in investigation of amygdala activation and functional connectivity (FC) with most clinical research sites now utilizing 3 Tesla (3T) MR systems. However, accurate imaging and analysis remains challenging not just due to the small size of the amygdala, but also its location deep in the temporal lobe. Selection of imaging parameters can significantly impact data quality with implications for the accuracy of study results and validity of conclusions. Wide variation exists in acquisition protocols with spatial resolution of some protocols suboptimal for accurate assessment of the amygdala as a whole, and for measuring activation and FC of the three main subregions, each of which contains multiple nuclei with specialized roles. The primary objective of this scoping review is to provide a broad overview of 3T fMRI protocols in use to image the activation and FC of the amygdala with particular reference to spatial resolution. The secondary objective is to provide context for a discussion culminating in recommendations for a standardized protocol for imaging activation of the amygdala and its subregions. As the advantages of big data and protocol harmonization in imaging become more apparent so, too, do the disadvantages of data heterogeneity.Evidence Level3Technical EfficacyStage 2

show abstract

Section: Results For Studies Reporting Subregional Findingsmentioning

confidence: 99%

Functional Magnetic Resonance Imaging of the Amygdala and Subregions at 3 Tesla: A Scoping Review

Foster

Breukelaar

Ekanayake

et al. 2023

Magnetic Resonance Imaging

View full text Add to dashboard Cite

show abstract

“…Twenty one studies reported subregional activation in the amygdala [17,[44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63]. A summary of the data relating to these studies is reported in Table 2 (attached).…”

Section: Results For Studies Reporting Subregional Findingsmentioning

confidence: 99%

“…Ten studies used standard resolution data [47-49, 53-56, 61, 63, 65]. Four studies used low resolution data [51, 52, 57, 60] and one combined standard and low resolution data [50]. Interestingly, four studies reported subregional findings using low resolution data with VV larger than 50mm 3 [51, 57], two of which used VV of 70.3mm 3 [52, 60].…”

Section: Results For Studies Reporting Subregional Findingsmentioning

confidence: 99%

“…Four studies used low resolution data [51, 52, 57, 60] and one combined standard and low resolution data [50]. Interestingly, four studies reported subregional findings using low resolution data with VV larger than 50mm 3 [51, 57], two of which used VV of 70.3mm 3 [52, 60]. Four of the studies used a slice gap technique, two of which used a gap of 33.3% [54, 55], one used a gap of 25% [50] and one used a gap of 12.5% [56].…”

Section: Results For Studies Reporting Subregional Findingsmentioning

confidence: 99%

See 1 more Smart Citation

Functional Magnetic Resonance Imaging of the amygdala and subregions at 3 Tesla: A scoping review

Foster

Breukelaar

Ekanayake

et al. 2023

Preprint

View full text Add to dashboard Cite

The amygdalae are a pair of small brain structures, each of which is composed of three main subregions and whose function is implicated in neuropsychiatric conditions. Functional Magnetic Resonance Imaging (fMRI) has been utilised extensively in investigation of amygdala activation and functional connectivity with most clinical research sites now utilising 3 Tesla (3T) MR systems. However, accurate imaging and analysis remains challenging not just due to the small size of the amygdala, but also its location deep in the temporal lobe. Selection of imaging parameters can significantly impact data quality with implications for the accuracy of study results and validity of conclusions. Wide variation exists in acquisition protocols with spatial resolution of some protocols suboptimal for accurate assessment of the amygdala as a whole, and for measuring activation and functional connectivity of the three main subregions, each of which contains multiple nuclei with specialised roles. The primary objective of this scoping review is to provide a comprehensive overview of 3T fMRI protocols in use to image the activation and functional connectivity of the amygdala with particular reference to spatial resolution. The secondary objective is to provide context for a discussion culminating in recommendations for a standardised protocol for imaging activation of the amygdala and its subregions. As the advantages of big data and protocol harmonisation in imaging become more apparent so, too, do the disadvantages of data heterogeneity.

show abstract

“…To date, in studies attempting classification of PTSD, prospective data driven investigations have been scarce, and mainly relied on hypotheses regarding known brain abnormalities in PTSD. Previous large scale studies have mostly utilized resting state fMRI (rs-fMRI) or structural MRI (for example; ( Brown, LaBar, Haswell, Gold, McCarthy, Morey, 2014 , Rabinak, Angstadt, Welsh, Kennedy, Lyubkin, Martis, Phan, 2011 )), yet studies of whole brain data-driven analysis both at rest and during different tasks, are still needed ( Ben-Zion, Zeevi, Keynan, Admon, Kozlovski, Sharon, Halpern, Liberzon, Shalev, Benjamini, et al., 2020 , DiGangi, Tadayyon, Fitzgerald, et al., 2016 , King, Block, Sripada, Rauch, Giardino, Favorite, Angstadt, Kessler, Welsh, Liberzon, 2016 , Wang, Zhu, et al., 2020 ). Investigating brain connectivity during task in addition to rest could enhance the validity of finding with respect to real life mental processing.…”

Section: Introductionmentioning

confidence: 99%

Deep learning model of fMRI connectivity predicts PTSD symptom trajectories in recent trauma survivors

et al. 2021

View full text Add to dashboard Cite

Highlights We propose a novel end-to-end neural network that employs resting-state and task-based functional MRI (fMRI) datasets, obtained one month after trauma exposure, to predict PTSD one, six and 14-months after the exposure. The method utilizes connectivity maps extracted from pairs of brain regions which are subsequently updated by applying the algorithmic technique of pairwise attention. The proposed deep learning method predicts PTSD status, PTSD symptom clusters and survival analysis within the prospective design. We demonstrate a significant improvement in performance on all the datasets and experiments in comparison to other relevant analytical techniques. Pairwise association analysis reveals several significant functional connectivity patterns, in line with previous PTSD neuroimaging literature.

show abstract

The resting-state functional connectivity of amygdala subregions associated with post-traumatic stress symptom and sleep quality in trauma survivors

Cited by 9 publications

References 78 publications

Functional Magnetic Resonance Imaging of the Amygdala and Subregions at 3 Tesla: A Scoping Review

Functional Magnetic Resonance Imaging of the Amygdala and Subregions at 3 Tesla: A Scoping Review

Functional Magnetic Resonance Imaging of the amygdala and subregions at 3 Tesla: A scoping review

Deep learning model of fMRI connectivity predicts PTSD symptom trajectories in recent trauma survivors

Contact Info

Product

Resources

About