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Author ︱ Gao Wei editor in charge ︱ Wang Sizhen edition ︱ Cha Jiaxue rumination is a rigid, repetitive and excessive cognitive way of focusing on negative self-related informati.
As a non-adaptive emotion regulation strategy, it has been studied by researche.
It is considered to be one of the important risk factors for the development and exacerbation of depressive sympto.
The mechanism of rumination thinking is still uncle.
Researchers generally believe that rumination is associated with abnormal activity in the default mode network (DMN), and the DMN and its key nodes are often involved in research on depressi.
Previous studies have investigated the activities of DMN from the perspective of functional connectivity, and found that the internal and external functional connectivity patterns of DMN associated with depression are abnormal [
Furthermore, in recent years, researchers believe that it is necessary to examine the activity characteristics of DMN from different perspectives, emphasizing that brain function is not only affected by the functional connection patterns between regions, but also by the neural activity patterns within regions [
Because the spatial characteristics and temporal dynamic patterns of intrinsic neural activity provide complementary information on network integrity, this information on DMN activity patterns is important for understanding the underlying mechanisms of rumination and depressi.
However, there is still a lack of systematic exploration of neural activity patterns in the DMN region, which is not conducive to researchers' in-depth understanding of the role of DMN functions on rumination and depressi.
Therefore, investigating the spatial and temporal activity patterns of DMN can help researchers to clarify the internal connection between rumination and depression, and to clarify the mechanism of rumination, which has important scientific and practical significance for improving the cognitive > In order to solve the above problems, researchers from Sichuan Normal University, Southwest University, New Jersey Institute of Technology, the Institute of Psychology, Chinese Academy of Sciences, and Qufu Normal University collaborated on April 25, 2022 in Cerebral Cortex magazine onli.
of the ventromedial prefrontal cortex underlie the association between rumination and depression” research pap.
It was found that rumination thinking was related to the temporal dynamics of the DMN, and the temporal dynamics of different DMN subregions differed in their sensitivity to ruminati.
Among them, the ventromedial prefrontal cortex contributed the most and showed a mediating effect on the relationship between rumination and depressi.
This temporal dynamic pattern may be an intrinsic neural mechanism for the association between rumination tendency and depression ri.
The authors first collected resting-state fMRI data of experimental samples from two different regions, and measured the subjects' rumination tendency and depression by using the traditional Rumination Response Scale (RRS) and the Beck Depression Inventory (BDI) ri.
Subsequently, the study investigated the spatial characteristics and temporal dynamic patterns of the DMN according to the data analysis process shown in Figure 1, and explored how the intraregional neural activity of the DMN affected rumination tendency and depression ri.
The data were analyzed in two independent Repeat the operation and verification in the samp.
Figure 1 The overall flow chart of research data analysis (Source: Gao W, et .
, Cereb Cortex, 2022) Next, the authors performed independent component analysis on the resting-state fMRI to identify the corresponding DMN masks, and passed the DMN mas.
The mask calculates the fractional amplitude of low-frequency fluctuations (fALFF) and regional homogeneity (ReHo) as indicators to measure the spatial characteristic patterns of DMN; calculates the Hurst exponent (HE) and the voxel-wise functional concordance across time windows (VC) as a measure of DMN temporal dynamic patter.
The DMN masks identified by the two samples based on independent component analysis are shown in FigureFigure 2 DMN mask identified by independent component analysis (Source: Gao W, et .
, Cereb Cortex, 2022) Then, the authors used correlation analysis to verify the association between individuals’ rumination tendency and depression risk, and explored the relationship between rumination score and depression sco.
The correlation between spatial characteristics and temporal dynamic indicators of different subregions of D.
The results showed that the higher the rumination tendency of the individual, the greater the risk of depression (Figure 3), and it was found that the individual's rumination score was positively correlated with the spatial characteristic index of the posterior cingulate cortex, the low-frequency oscillation amplitude fALFF, and the temporal dynamic index of the prefrontal cort.
(HE & VC) were also positively correlated (Table 1), which may reflect that individuals with higher rumination tendencies are accompanied by more persistent and rigid self-referential process.
The authors suggest that the correlation between different DMN sub-regions and rumination may be related to the functions of different brain regions: PCC, as a part of the primitive cortex, its contribution to rumination thinking can be directly reflected by spatial feature patterns; while MPFC is responsible for more complex psychological The neocortical part of the process requires more temporal dynamic information to provide complemen.
Figure 3 Correlation between rumination and depression scores (Source: Gao W, et .
, Cereb Cortex, 2022) et .
, Cereb Cortex, 2022) Further, considering the heterogeneity of different key node regions of the DMN [3], the authors used pattern regression analyses to examine which regions within these nodes are prone to ruminati.
the greatest contributi.
Pattern regression analysis based on the multiple kernel learning (MKL) examined the contribution of different brain regions to the prediction of rumination score, and found that the temporal dynamic patterns of the prefrontal cortex can predict the individual's rumination score (F.
4), weight map The region that showed the greatest contribution was the ventromedial prefrontal cortex (VMPFC) (F.
These results suggest that different regions of the prefrontal cortex differ in their sensitivity to rumination tendency, with the temporal dynamics of the ventromedial prefrontal cortex being the highest predictor of an individual's rumination tenden.
FigurePredictive analysis results of temporal dynamics of brain prefrontal regions on rumination score (Source: Gao W, et .
, Cereb Cortex, 2022) Figure 5 Temporal dynamics of brain prefrontal regions to predict rumination score weights (Image source: Gao W, et .
, Cereb Cortex, 2022) Finally, the author uses an independent VMPFC mask to extract the temporal dynamic indicators (HE & VC) and explores whether the temporal dynamic pattern of VMPFC affects through mediation analys.
The relationship between rumination tendency and depression ri.
The results found that the mediating effect was significant (Figure
The authors believe that this may be attributed to the fact that the VMPFC is involved in both cognitive flexibility and self-referential processing [4], suggesting that individuals with higher rumination tendencies will be accompanied by higher levels of VMP.
Low temporal dynamics, which reflects decreased cognitive flexibility and more difficult-to-change negative self-referential processes in rumination-prone individuals, which in turn lead to an increased risk of depressi.
Figure 6 The mediating effect of temporal dynamics of ventromedial prefrontal cortex on rumination and depression (S1 = sample 1, S2 = sample∗p < 05; ∗∗p < 01; ∗∗∗p < 001) (Source : Gao W, et .
, Cereb Cortex, 2022) Article Conclusions and Discussions, Inspirations and Prospects In conclusion, this study used two independent samples and a pattern regression analysis method using multi-core learning to explore the relationship between rumination and depression tendencies and defau.
Relationships between neural activity signatures of pattern networks (DMNs) provide neuroimaging evidence that rumination is accompanied by a more persistent and entrenched self-referential proce.
This study found that the temporal dynamics of the DMN is related to the existence of rumination, and the contribution and sensitivity of different DMN subregions to rumination are different, especially the temporal dynamics of the ventromedial prefrontal cortex (VMPFC) in predicting an individual's rumination sco.
key ro.
Furthermore, the results of this study also suggest that the temporal dynamics of the VMPFC mediates the relationship between rumination tendency and depression risk, emphasizing the functions of the VMPFC in both cognitive flexibility and self-referential processi.
Of course, the temporal dynamic index used in this paper may have unstable defects, and the inference of the current study is based on the results of the healthy population, which needs further investigation in the depressed populati.
In conclusion, the findings not only provide new insights into the neural mechanisms of rumination tendency, but also have potential practical implications for understanding key factors in depression risk and for depression intervention and treatme.
Link to the original text: https://d.
org/11093/cercor/bhac115 This research was supported by the National Natural Science Foundation of China (31671164, 31971018, 3187110
Corresponding author Yuan Jiajin (left), first author Gao Wei (right) (Photo provided by: Laboratory of Emotional Cognition and Regulation, Sichuan Normal University) About the corresponding author: Yuan Jiajin, Professor, .
Deputy Dean, the leader of emotion and health psychology at the first-level discipline of psychology; published papers as the core author in journals such as Neurosci BioBehav Rev, JAMA Netw Open, Cereb Cortex, NeuroImage, Emotion, Hum Brain Mapp, Acta Psychology, e.
Hundreds of articles, with a total citation of about 3000 times, personal H factor 28, I-10 factor 71 (Google Schola.
Talent recruitment[1] "Logical Neuroscience" is looking for an associate editor/editor/operation position (online office) Selected articles from previous issues[1] PNAS︱Feng Guoping's laboratory reveals the important role of the front-end thalamic loop in working memory[1] 2] Mol Psychiatry︱ Keqiang Ye’s research group revealed that inflammation-activated C/EBPβ/AEP signaling pathway mediates high-fat diet-induced diabetes and Alzheimer’s disease [3] PNAS︱ Changhe Wang’s research group revealed neural synaptic exocytosis-cell A new mechanism of phagocytosis balance [4] Autophagy︱Ye Yihong's research group reveals a new molecular mechanism of neuronal ceroid lipofuscin deposition: DNAJC5/CSPα gene mutation leads to lysosomal homeostasis imbalance [5] J Neuroinflammation | Wang Yilong's team reports blood inflammation markers New evidence for the relationship between physical and cerebral small vessel disease 【6】Science︱Neural mechanism of non-cued goal-directed behavior 【7】Front Psychiatry︱Yang Zhi group reported a state anxiety tracking model with high temporal resolution 【8】Neural Regen Res Review︱The advantages of Rho kinase and its inhibitor Fasduil in the treatment of neurodegenerative diseases【9】Nat Neurosci︱He Yanlin/Xu Yong team reported a new mechanism of anorexia nervosa 【10】Transl Psychiatry︱Wang Xueyi team in early life stress New progress has been made in the study of brain mechanisms affecting cognitive function in adulthood Recommended for high-quality scientific research training courses [1] Symposium on Single-Cell Sequencing and Spatial Transcriptomics Data Analysis (Tencent Online Conference on June 11-12) [2] Patch Clamp Symposium on Optogenetics and Calcium Imaging Technologies May 21-22 Tencent Conference References (swipe up and down to read)Burkhouse, KL, Jacobs, RH, Peters, AT, Ajilore,.
, Watkins, ER, & Langenecker, SA (201
Neural correlates of rumination in adolescents with remitted major depressive disorder and healthy contro.
Cognitive, Affective, &Behavioral Neuroscience, 17(2), 394-40 Zhu,.
, Zhu, DM, Qian,.
, Li,.
, & Yu,.
(201
Altered spatial and temporal concordance among intrinsic brain activity measures in schizophren.
Journal of Psychiatric Research, 106, 91-9 Zhou, HX, Chen,.
, Shen, YQ, Li,.
, Chen, NX, Zhu, ZC, & Yan, CG (202
Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depressi.
Neuroimage, 206, 11628 Hernandez, AR, Reasor, JE, Truckenbrod, LM, Lubke, KN, Johnson, SA, Bizon, JL, & Burke, SN (201
Medial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of paperAltered spatial and temporal concordance among intrinsic brain activity measures in schizophren.
Journal of Psychiatric Research, 106, 91-9 Zhou, HX, Chen,.
, Shen, YQ, Li,.
, Chen, NX, Zhu, ZC, & Yan, CG (202
Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depressi.
Neuroimage, 206, 11628 Hernandez, AR, Reasor, JE, Truckenbrod, LM, Lubke, KN, Johnson , SA, Bizon, JL, & Burke, SN (201
Medial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of paperAltered spatial and temporal concordance among intrinsic brain activity measures in schizophren.
Journal of Psychiatric Research, 106, 91-9 Zhou, HX, Chen,.
, Shen, YQ, Li,.
, Chen, NX, Zhu, ZC, & Yan, CG (202
Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depressi.
Neuroimage, 206, 11628 Hernandez, AR, Reasor, JE, Truckenbrod, LM, Lubke, KN, Johnson , SA, Bizon, JL, & Burke, SN (201
Medial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of pape.
, Zhu, ZC, & Yan, CG (202
Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depressi.
Neuroimage, 206, 11628 Hernandez, AR, Reasor, JE, Truckenbrod, LM, Lubke, KN, Johnson, SA, Bizon, JL, & Burke, SN (201
Medial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of pape.
, Zhu, ZC, & Yan, CG (202
Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depressi.
Neuroimage, 206, 11628 Hernandez, AR, Reasor, JE, Truckenbrod, LM, Lubke, KN, Johnson, SA, Bizon, JL, & Burke, SN (201
Medial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of paperMedial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of paperMedial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of paper
As a non-adaptive emotion regulation strategy, it has been studied by researche.
It is considered to be one of the important risk factors for the development and exacerbation of depressive sympto.
The mechanism of rumination thinking is still uncle.
Researchers generally believe that rumination is associated with abnormal activity in the default mode network (DMN), and the DMN and its key nodes are often involved in research on depressi.
Previous studies have investigated the activities of DMN from the perspective of functional connectivity, and found that the internal and external functional connectivity patterns of DMN associated with depression are abnormal [
Furthermore, in recent years, researchers believe that it is necessary to examine the activity characteristics of DMN from different perspectives, emphasizing that brain function is not only affected by the functional connection patterns between regions, but also by the neural activity patterns within regions [
Because the spatial characteristics and temporal dynamic patterns of intrinsic neural activity provide complementary information on network integrity, this information on DMN activity patterns is important for understanding the underlying mechanisms of rumination and depressi.
However, there is still a lack of systematic exploration of neural activity patterns in the DMN region, which is not conducive to researchers' in-depth understanding of the role of DMN functions on rumination and depressi.
Therefore, investigating the spatial and temporal activity patterns of DMN can help researchers to clarify the internal connection between rumination and depression, and to clarify the mechanism of rumination, which has important scientific and practical significance for improving the cognitive > In order to solve the above problems, researchers from Sichuan Normal University, Southwest University, New Jersey Institute of Technology, the Institute of Psychology, Chinese Academy of Sciences, and Qufu Normal University collaborated on April 25, 2022 in Cerebral Cortex magazine onli.
of the ventromedial prefrontal cortex underlie the association between rumination and depression” research pap.
It was found that rumination thinking was related to the temporal dynamics of the DMN, and the temporal dynamics of different DMN subregions differed in their sensitivity to ruminati.
Among them, the ventromedial prefrontal cortex contributed the most and showed a mediating effect on the relationship between rumination and depressi.
This temporal dynamic pattern may be an intrinsic neural mechanism for the association between rumination tendency and depression ri.
The authors first collected resting-state fMRI data of experimental samples from two different regions, and measured the subjects' rumination tendency and depression by using the traditional Rumination Response Scale (RRS) and the Beck Depression Inventory (BDI) ri.
Subsequently, the study investigated the spatial characteristics and temporal dynamic patterns of the DMN according to the data analysis process shown in Figure 1, and explored how the intraregional neural activity of the DMN affected rumination tendency and depression ri.
The data were analyzed in two independent Repeat the operation and verification in the samp.
Figure 1 The overall flow chart of research data analysis (Source: Gao W, et .
, Cereb Cortex, 2022) Next, the authors performed independent component analysis on the resting-state fMRI to identify the corresponding DMN masks, and passed the DMN mas.
The mask calculates the fractional amplitude of low-frequency fluctuations (fALFF) and regional homogeneity (ReHo) as indicators to measure the spatial characteristic patterns of DMN; calculates the Hurst exponent (HE) and the voxel-wise functional concordance across time windows (VC) as a measure of DMN temporal dynamic patter.
The DMN masks identified by the two samples based on independent component analysis are shown in FigureFigure 2 DMN mask identified by independent component analysis (Source: Gao W, et .
, Cereb Cortex, 2022) Then, the authors used correlation analysis to verify the association between individuals’ rumination tendency and depression risk, and explored the relationship between rumination score and depression sco.
The correlation between spatial characteristics and temporal dynamic indicators of different subregions of D.
The results showed that the higher the rumination tendency of the individual, the greater the risk of depression (Figure 3), and it was found that the individual's rumination score was positively correlated with the spatial characteristic index of the posterior cingulate cortex, the low-frequency oscillation amplitude fALFF, and the temporal dynamic index of the prefrontal cort.
(HE & VC) were also positively correlated (Table 1), which may reflect that individuals with higher rumination tendencies are accompanied by more persistent and rigid self-referential process.
The authors suggest that the correlation between different DMN sub-regions and rumination may be related to the functions of different brain regions: PCC, as a part of the primitive cortex, its contribution to rumination thinking can be directly reflected by spatial feature patterns; while MPFC is responsible for more complex psychological The neocortical part of the process requires more temporal dynamic information to provide complemen.
Figure 3 Correlation between rumination and depression scores (Source: Gao W, et .
, Cereb Cortex, 2022) et .
, Cereb Cortex, 2022) Further, considering the heterogeneity of different key node regions of the DMN [3], the authors used pattern regression analyses to examine which regions within these nodes are prone to ruminati.
the greatest contributi.
Pattern regression analysis based on the multiple kernel learning (MKL) examined the contribution of different brain regions to the prediction of rumination score, and found that the temporal dynamic patterns of the prefrontal cortex can predict the individual's rumination score (F.
4), weight map The region that showed the greatest contribution was the ventromedial prefrontal cortex (VMPFC) (F.
These results suggest that different regions of the prefrontal cortex differ in their sensitivity to rumination tendency, with the temporal dynamics of the ventromedial prefrontal cortex being the highest predictor of an individual's rumination tenden.
FigurePredictive analysis results of temporal dynamics of brain prefrontal regions on rumination score (Source: Gao W, et .
, Cereb Cortex, 2022) Figure 5 Temporal dynamics of brain prefrontal regions to predict rumination score weights (Image source: Gao W, et .
, Cereb Cortex, 2022) Finally, the author uses an independent VMPFC mask to extract the temporal dynamic indicators (HE & VC) and explores whether the temporal dynamic pattern of VMPFC affects through mediation analys.
The relationship between rumination tendency and depression ri.
The results found that the mediating effect was significant (Figure
The authors believe that this may be attributed to the fact that the VMPFC is involved in both cognitive flexibility and self-referential processing [4], suggesting that individuals with higher rumination tendencies will be accompanied by higher levels of VMP.
Low temporal dynamics, which reflects decreased cognitive flexibility and more difficult-to-change negative self-referential processes in rumination-prone individuals, which in turn lead to an increased risk of depressi.
Figure 6 The mediating effect of temporal dynamics of ventromedial prefrontal cortex on rumination and depression (S1 = sample 1, S2 = sample∗p < 05; ∗∗p < 01; ∗∗∗p < 001) (Source : Gao W, et .
, Cereb Cortex, 2022) Article Conclusions and Discussions, Inspirations and Prospects In conclusion, this study used two independent samples and a pattern regression analysis method using multi-core learning to explore the relationship between rumination and depression tendencies and defau.
Relationships between neural activity signatures of pattern networks (DMNs) provide neuroimaging evidence that rumination is accompanied by a more persistent and entrenched self-referential proce.
This study found that the temporal dynamics of the DMN is related to the existence of rumination, and the contribution and sensitivity of different DMN subregions to rumination are different, especially the temporal dynamics of the ventromedial prefrontal cortex (VMPFC) in predicting an individual's rumination sco.
key ro.
Furthermore, the results of this study also suggest that the temporal dynamics of the VMPFC mediates the relationship between rumination tendency and depression risk, emphasizing the functions of the VMPFC in both cognitive flexibility and self-referential processi.
Of course, the temporal dynamic index used in this paper may have unstable defects, and the inference of the current study is based on the results of the healthy population, which needs further investigation in the depressed populati.
In conclusion, the findings not only provide new insights into the neural mechanisms of rumination tendency, but also have potential practical implications for understanding key factors in depression risk and for depression intervention and treatme.
Link to the original text: https://d.
org/11093/cercor/bhac115 This research was supported by the National Natural Science Foundation of China (31671164, 31971018, 3187110
Corresponding author Yuan Jiajin (left), first author Gao Wei (right) (Photo provided by: Laboratory of Emotional Cognition and Regulation, Sichuan Normal University) About the corresponding author: Yuan Jiajin, Professor, .
Deputy Dean, the leader of emotion and health psychology at the first-level discipline of psychology; published papers as the core author in journals such as Neurosci BioBehav Rev, JAMA Netw Open, Cereb Cortex, NeuroImage, Emotion, Hum Brain Mapp, Acta Psychology, e.
Hundreds of articles, with a total citation of about 3000 times, personal H factor 28, I-10 factor 71 (Google Schola.
Talent recruitment[1] "Logical Neuroscience" is looking for an associate editor/editor/operation position (online office) Selected articles from previous issues[1] PNAS︱Feng Guoping's laboratory reveals the important role of the front-end thalamic loop in working memory[1] 2] Mol Psychiatry︱ Keqiang Ye’s research group revealed that inflammation-activated C/EBPβ/AEP signaling pathway mediates high-fat diet-induced diabetes and Alzheimer’s disease [3] PNAS︱ Changhe Wang’s research group revealed neural synaptic exocytosis-cell A new mechanism of phagocytosis balance [4] Autophagy︱Ye Yihong's research group reveals a new molecular mechanism of neuronal ceroid lipofuscin deposition: DNAJC5/CSPα gene mutation leads to lysosomal homeostasis imbalance [5] J Neuroinflammation | Wang Yilong's team reports blood inflammation markers New evidence for the relationship between physical and cerebral small vessel disease 【6】Science︱Neural mechanism of non-cued goal-directed behavior 【7】Front Psychiatry︱Yang Zhi group reported a state anxiety tracking model with high temporal resolution 【8】Neural Regen Res Review︱The advantages of Rho kinase and its inhibitor Fasduil in the treatment of neurodegenerative diseases【9】Nat Neurosci︱He Yanlin/Xu Yong team reported a new mechanism of anorexia nervosa 【10】Transl Psychiatry︱Wang Xueyi team in early life stress New progress has been made in the study of brain mechanisms affecting cognitive function in adulthood Recommended for high-quality scientific research training courses [1] Symposium on Single-Cell Sequencing and Spatial Transcriptomics Data Analysis (Tencent Online Conference on June 11-12) [2] Patch Clamp Symposium on Optogenetics and Calcium Imaging Technologies May 21-22 Tencent Conference References (swipe up and down to read)Burkhouse, KL, Jacobs, RH, Peters, AT, Ajilore,.
, Watkins, ER, & Langenecker, SA (201
Neural correlates of rumination in adolescents with remitted major depressive disorder and healthy contro.
Cognitive, Affective, &Behavioral Neuroscience, 17(2), 394-40 Zhu,.
, Zhu, DM, Qian,.
, Li,.
, & Yu,.
(201
Altered spatial and temporal concordance among intrinsic brain activity measures in schizophren.
Journal of Psychiatric Research, 106, 91-9 Zhou, HX, Chen,.
, Shen, YQ, Li,.
, Chen, NX, Zhu, ZC, & Yan, CG (202
Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depressi.
Neuroimage, 206, 11628 Hernandez, AR, Reasor, JE, Truckenbrod, LM, Lubke, KN, Johnson, SA, Bizon, JL, & Burke, SN (201
Medial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of paperAltered spatial and temporal concordance among intrinsic brain activity measures in schizophren.
Journal of Psychiatric Research, 106, 91-9 Zhou, HX, Chen,.
, Shen, YQ, Li,.
, Chen, NX, Zhu, ZC, & Yan, CG (202
Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depressi.
Neuroimage, 206, 11628 Hernandez, AR, Reasor, JE, Truckenbrod, LM, Lubke, KN, Johnson , SA, Bizon, JL, & Burke, SN (201
Medial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of paperAltered spatial and temporal concordance among intrinsic brain activity measures in schizophren.
Journal of Psychiatric Research, 106, 91-9 Zhou, HX, Chen,.
, Shen, YQ, Li,.
, Chen, NX, Zhu, ZC, & Yan, CG (202
Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depressi.
Neuroimage, 206, 11628 Hernandez, AR, Reasor, JE, Truckenbrod, LM, Lubke, KN, Johnson , SA, Bizon, JL, & Burke, SN (201
Medial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of pape.
, Zhu, ZC, & Yan, CG (202
Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depressi.
Neuroimage, 206, 11628 Hernandez, AR, Reasor, JE, Truckenbrod, LM, Lubke, KN, Johnson, SA, Bizon, JL, & Burke, SN (201
Medial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of pape.
, Zhu, ZC, & Yan, CG (202
Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depressi.
Neuroimage, 206, 11628 Hernandez, AR, Reasor, JE, Truckenbrod, LM, Lubke, KN, Johnson, SA, Bizon, JL, & Burke, SN (201
Medial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of paperMedial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of paperMedial prefrontal-perirhinal cortical communication is necessary for flexible response selecti.
Neurobiology of Learning and Memory, 137, 36-4 End of paper
