Linking DMN connectivity to episodic memory capacity: what can we learn from patients with medial temporal lobe damage?
- Authors
- McCormick, Cornelia; Protzner, Andrea B; Barnett, Alexander J; Cohn, Melanie; Valiante, Taufik A; McAndrews, Mary Pat
- Year
- 2014
- Journal
- NeuroImage. Clinical
- PMID
- 25068108
- DOI
- 10.1016/j.nicl.2014.05.008
- PMCID
- PMC4110351
Computational models predict that focal damage to the Default Mode Network (DMN) causes widespread decreases and increases of functional DMN connectivity. How such alterations impact functioning in a specific cognitive domain such as episodic memory remains relatively unexplored. Here, we show in patients with unilateral medial temporal lobe epilepsy (mTLE) that focal structural damage leads indeed to specific patterns of DMN functional connectivity alterations, specifically decreased connectivity between both medial temporal lobes (MTLs) and the posterior part of the DMN and increased intrahemispheric anterior-posterior connectivity. Importantly, these patterns were associated with better and worse episodic memory capacity, respectively. These distinct patterns, shown here for the first time, suggest that a close dialogue between both MTLs and the posterior components of the DMN is required to fully express the extensive repertoire of episodic memory abilities.
DMN integrity. A. Red spheres illustrate ROIs in which patients with left (L- mTLE) and right mTLE (R-mTLE) have decreased grey matter volume (GMV) in com- parison to healthy controls (CTL). Of note, there were no increases of GMV in patients with mTLE in comparison to healthy controls. B. Red lines illustrate differences in func- tional connectivity between healthy controls than patients with left and right mTLE. The line thickness indicates the bootstrap ratio value. C. Correlation between brain scores resulting from the GM- and FC-DMN analyses in controls, R-mTLE and L-mTLE, indicating that the extent of structural DMN damage correlates with the extend of functional DMN connectivity alterations. See also Fig. S1 and Tables 2 and S1 . ROIs: 1. lHC and 2. rHC = left and right hippocampus, 3. lPHC and 4. rPHC = left and right parahippocampal cortex, 5. lRsp and 6. rRsp = left and right retrosplenial cortex, 7. lIPL and 8. rIPL = left and right inferior parietal lobule, 9. vmPFC = ventromedial prefrontal cortex, 10. dmPFC = dorsomedial prefrontal cortex, 11. lTempP and 12. rTempP = left and right temporal pole, 13. lLTC and 14. rLTC = left and right lateral temporal cor- tex, 15. lTPJ and 16. rTPJ = left and right temporoparietal junction, 17. lamPFC and 18. ramPFC = left and right anterior medial prefrontal cortex, and 19. lPCC and 20. rPCC = left and right posterior cingulate cortex.
LLM interpretation
This figure consists of brain maps and scatter plots analyzing Default Mode Network (DMN) integrity in patients with left (L-mTLE) and right (R-mTLE) mesial temporal lobe epilepsy compared to healthy controls (CTL). Panel A uses red spheres on brain templates to show regions of decreased grey matter volume, while Panel B uses red lines of varying thickness to illustrate differences in functional connectivity. Panel C contains two scatter plots showing a positive correlation between structural (x-axis) and functional (y-axis) connectivity scores for both L-mTLE and R-mTLE groups relative to controls.
Functional connectivity (FC) alterations of the DMN indicate episodic memory capacity in mTLE. Panel A illustrates networks that are associated with better episodic memory capacity and panel B illustrates networks that are associated with worse episodic memory capacity in patients with L-mTLE and R-mTLE. Significant connections are displayed in red. The line thickness indicates the bootstrap ratio value. See ROI description below Fig. 1 . Panel C displays the relation between brain scores (i.e., how well a participant expresses the above networks) and individual episodic memory capacity. For example, patients with higher brain scores have stronger connectivity within the network associated with better verbal memory and weaker connectivity within the pattern associated with worse verbal memory. FC = functional connectivity. See also Fig. S3 and Tables 2 and S1.
LLM interpretation
This figure consists of brain network diagrams (Panels A and B) and scatter plots (Panel C) analyzing functional connectivity (FC) in patients with mTLE. Panels A and B use red lines of varying thickness to visualize significant FC networks associated with better and worse verbal and visuospatial memory capacity, respectively. Panel C shows positive linear correlations between "Brain scores" (x-axis) and both verbal and visuospatial memory (y-axis) for L-mTLE (open circles) and R-mTLE (closed circles) groups.
Comparison between DMN and PCC–HC connectivity in predicting episodic memory capacity per patient group. Dots in light grey illustrate the correlation between episodic memory capacity and connectivity between the PCC and damaged HC (left y - axis) following the approach taken in McCormick et al. (2013a) . Dots in dark grey (same as in Fig. 2C ) illustrate the correlation between episodic memory capacity and brain scores expressing the whole DMN integrity, as measured by the current approach (i.e., FC-VM / VSM-PLS, right y -axis). Of note, only patients with L-mTLTE contribute to the correlation with verbal memory (left graph) and only patients with R-mTLE contribute to the correlation with visuospatial memory (right graph). Verbal memory: PCC–lHC: r2 = 0.30, brain scores: r2 = 0.61; visuospatial memory: PCC–rHC: r2 = 0.18, brain scores: r2 = 0.53. DMN integrity is a better indicator of episodic memory than PCC–HC connectivity.
LLM interpretation
This figure consists of two scatter plots with linear regression lines showing the correlation between episodic memory capacity and brain connectivity. The left plot relates verbal memory to PCC-lHC connectivity (light grey dots, left y-axis) and DMN brain scores (dark grey dots, right y-axis), while the right plot relates visuospatial memory to PCC-rHC connectivity (light grey) and DMN brain scores (dark grey). In both graphs, DMN brain scores show a steeper positive correlation with memory capacity compared to PCC-HC connectivity, with higher reported $r^2$ values for DMN integrity.
No entities extracted from this document yet.
No uploaded files.
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. | 2023 | 37232664 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Cannabis and nicotine/tobacco co-use and its association with cognitive and neural outcomes: A systematic review. | Yeap ZJS et al. | — | 2026 | → |
| Contralateral language network integration predicts and protects against naming decline after temporal lobe resection. | Nenning KH et al. | — | 2026 | → |
| Dynamic network reconfiguration in hepatitis B cirrhosis secondary to mild hepatic encephalopathy: a multilayer network analysis. | Ju C et al. | — | 2026 | → |
| Hippocampal, fornix, and mammillary body atrophy in patients with mesial temporal sclerosis. | Mojica M et al. | — | 2026 | → |
| Single voxel autocorrelation reflects hippocampal function in temporal lobe epilepsy. | Bouffard NR et al. | — | 2026 | → |
| Cortico-hippocampal networks underpin verbal memory encoding in temporal lobe epilepsy. | Fiore G et al. | — | 2025 | → |
| Evaluating individual sensitivity to propofol through EEG complexity and information integration: from neural dynamics to precision anesthesia. | Jin X et al. | — | 2025 | → |
| Restoration of Normal Brain Connectivity With Deep Brain Stimulation for Drug-Resistant Epilepsy in a Pediatric Patient. | Martin Del Campo I et al. | — | 2025 | → |
| Altered brain activity and cognitive impairment in patients with psoriasis. | Yi X et al. | — | 2024 | → |
| Altered functional brain activity in first-episode major depressive disorder treated with electro-acupuncture: A resting-state functional magnetic resonance imaging study. | Wang X et al. | — | 2024 | → |
| Altered static and dynamic functional connectivity of the default mode network across epilepsy subtypes in children: A resting-state fMRI study. | Li Y et al. | — | 2024 | → |
| Memory functioning after hippocampal removal: Does side matter? | Lambrecq V et al. | — | 2024 | → |
| The autobiographical memory system and chronic pain: A neurocognitive framework for the initiation and maintenance of chronic pain. | Waisman A et al. | — | 2024 | → |
| Abnormal metabolic connectivity in default mode network of right temporal lobe epilepsy. | Wang X et al. | — | 2023 | → |
| Leveraging the resting brain to predict memory decline after temporal lobectomy. | Audrain S et al. | — | 2023 | → |
| Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. | Kamarajan C et al. | — | 2023 | → |
| Pre-surgical features of intrinsic brain networks predict single and joint epilepsy surgery outcomes. | Hinds W et al. | — | 2023 | → |
| Therapeutic effect of tempo in Mozart's "Sonata for two pianos" (K. 448) in patients with epilepsy: An electroencephalographic study. | Ding R et al. | — | 2023 | → |
| Abnormal functional connectivity in the right dorsal anterior insula associated with cognitive dysfunction in patients with type 2 diabetes mellitus. | Wang M et al. | — | 2022 | → |
| Altered Spontaneous Brain Activity in Patients With Diabetic Osteoporosis Using Regional Homogeneity: A Resting-State Functional Magnetic Resonance Imaging Study. | Liu M et al. | — | 2022 | → |
| Cellular Substrates of Functional Network Integration and Memory in Temporal Lobe Epilepsy. | Douw L et al. | — | 2022 | → |
| Dynamic functional connectivity in modular organization of the hippocampal network marks memory phenotypes in temporal lobe epilepsy. | Li H et al. | — | 2022 | → |
| Leveraging the resting brain to predict memory decline after temporal lobectomy | Audrain S et al. | — | 2022 | — |
| Missing links: The functional unification of language and memory (L∪M). | Roger E et al. | — | 2022 | → |
| Neurocognition applied to psychotherapy: A brief theoretical proposal based on the complex neural network perspective. | Faustino B | — | 2022 | → |
| Study of brain network alternations in non-lesional epilepsy patients by BOLD-fMRI. | Li Z et al. | — | 2022 | → |
| Rapidly spreading seizures arise from large-scale functional brain networks in focal epilepsy. | Uehara T et al. | — | 2021 | → |
| Effects of Cognitive Training in Mild Cognitive Impairmentmeasured by Resting State Functional Imaging. | Kim S et al. | — | 2020 | → |
| Metabolic correlates of cognitive impairment in mesial temporal lobe epilepsy. | Laurent A et al. | — | 2020 | → |
| Resting-state functional MRI of the default mode network in epilepsy. | Gonen OM et al. | — | 2020 | → |
| Cognitive and functional correlates of accelerated long-term forgetting in temporal lobe epilepsy. | Audrain S et al. | — | 2019 | → |
| Comparing the Wada Test and Functional MRI for the Presurgical Evaluation of Memory in Temporal Lobe Epilepsy. | Massot-Tarrús A et al. | — | 2019 | → |
| Different modulation effects of Tai Chi Chuan and Baduanjin on resting-state functional connectivity of the default mode network in older adults. | Liu J et al. | — | 2019 | → |
| Neuroimaging and connectomics of drug-resistant epilepsy at multiple scales: From focal lesions to macroscale networks. | Tavakol S et al. | — | 2019 | → |
| Parcellation of the Hippocampus Using Resting Functional Connectivity in Temporal Lobe Epilepsy. | Barnett AJ et al. | — | 2019 | → |
| Using resting-state fMRI to assess the effect of aerobic exercise on functional connectivity of the DLPFC in older overweight adults. | Prehn K et al. | — | 2019 | → |
| Comparing and Contrasting the Cognitive Effects of Hippocampal and Ventromedial Prefrontal Cortex Damage: A Review of Human Lesion Studies. | McCormick C et al. | — | 2018 | → |
| Language network measures at rest indicate individual differences in naming decline after anterior temporal lobe resection. | Audrain S et al. | — | 2018 | → |
| Mind-Wandering in People with Hippocampal Damage. | McCormick C et al. | — | 2018 | → |
| Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity. | Chiang S et al. | — | 2018 | → |
| Alterations in Spontaneous Brain Activity and Functional Network Reorganization following Surgery in Children with Medically Refractory Epilepsy: A Resting-State Functional Magnetic Resonance Imaging Study. | Li Y et al. | — | 2017 | → |
| A Pilot Study on Brain Plasticity of Functional Connectivity Modulated by Cognitive Training in Mild Alzheimer's Disease and Mild Cognitive Impairment. | Barban F et al. | — | 2017 | → |
| Applications of Resting-State Functional MR Imaging to Epilepsy. | Barnett A et al. | — | 2017 | → |
| Characteristics of Resting-State Functional Connectivity in Intractable Unilateral Temporal Lobe Epilepsy Patients with Impaired Executive Control Function. | Zhang C et al. | — | 2017 | → |
| Functional reorganization in obstructive sleep apnoea and insomnia: A systematic review of the resting-state fMRI. | Khazaie H et al. | — | 2017 | → |
| Impact of Resveratrol on Glucose Control, Hippocampal Structure and Connectivity, and Memory Performance in Patients with Mild Cognitive Impairment. | Köbe T et al. | — | 2017 | → |
| Reorganization of anterior and posterior hippocampal networks associated with memory performance in mesial temporal lobe epilepsy. | Li H et al. | — | 2017 | → |
| Similarities and differences in the default mode network across rest, retrieval, and future imagining. | Bellana B et al. | — | 2017 | → |
| Gray Matter Abnormalities in Temporal Lobe Epilepsy: Relationships with Resting-State Functional Connectivity and Episodic Memory Performance. | Doucet GE et al. | — | 2016 | → |
| Laterality effects in functional connectivity of the angular gyrus during rest and episodic retrieval. | Bellana B et al. | — | 2016 | → |
| Awareness of cognitive deficits in older adults with epilepsy and mild cognitive impairment. | Galioto R et al. | — | 2015 | → |
| Dissociated multimodal hubs and seizures in temporal lobe epilepsy. | Douw L et al. | — | 2015 | → |
| Episodic memory in aspects of large-scale brain networks. | Jeong W et al. | — | 2015 | → |
| Functional and structural correlates of memory in patients with mesial temporal lobe epilepsy. | Barnett AJ et al. | — | 2015 | → |
| Imaging memory and predicting postoperative memory decline in temporal lobe epilepsy: Insights from functional imaging. | Dupont S | — | 2015 | → |
| Memory assessment in the clinical context using functional magnetic resonance imaging: a critical look at the state of the field. | McAndrews MP | — | 2014 | → |