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GE2REC protocol for interactive mapping of language and memory processes in temporal lobe epilepsy
Sonja Banjac, Elise Roger, Emilie Cousin, Marcela Perrone-Bertolotti, Cédric Pichat, Laurent Lamalle, Lorella Minotti, Philippe Kahane, Monica Baciu
To cite this version:
Sonja Banjac, Elise Roger, Emilie Cousin, Marcela Perrone-Bertolotti, Cédric Pichat, et al.. GE2REC protocol for interactive mapping of language and memory processes in temporal lobe epilepsy. Society for the Neurobiology of Language Annual Meeting (SNL), Aug 2019, Helsinki, Finland. �hal-03247992�
GE2REC protocol for interactive mapping of language and memory processes in temporal lobe epilepsy
Sonja Banjac
1, Elise Roger
1, Emilie Cousin
1,2, Marcela Perrone-Bertolotti
1, Cédric Pichat
1,2, Laurent Lamalle
2, Lorella Minotti
3, Philippe Kahane
3, Monica Baciu
11 Univ. Grenoble Alpes, CNRS LPNC UMR 5105, F-38000 Grenoble, France
2 Univ. Grenoble Alpes, UMS IRMaGe CHU Grenoble, F-38000 Grenoble, France
3 Univ. Grenoble Alpes, GIN & Neurology Department, F-38000 Grenoble, France
Context
• The base of proper cognitive functioning is the dynamic interaction between different neuropsychological domains
[1].
• There is anatomical evidence suggesting the connections between regions engaged in episodic memory and language
[2].
• Lesions in language regions can manifest in memory domains
[3].
• Language and memory networks converge towards integrative hubs mainly in the left temporal lobe
[4]so joint language-and-memory deficits are especially common in temporal lobe epilepsy patients
[5].Research objectives
1.Develop a protocol that would allow to assess language and memory in interaction and interplay.
2. Validate that the protocol can map language-and- memory network.
Methods
•
Twenty right-handed subjects
(9 females, Mage = 21)were tested with GE2REC protocol.
• The fMRI data were acquired at 3T MR imager
• Functional runs: gradient-echo/T2* weighted EPI method
(42 adjacent axial slices parallel to the bicommissural plane,
sequential mode, slice thickness: 3mm, voxel size 3x3 mm, TR = 2.5 s, TE = 30ms, flip angle = 82°)
•
Anatomical scan: 3D T1-weighted high-resolution using a 3D T1TFE
(field of view = 256 × 256 × 160 mm; resolution: 1 × 1 × 1 mm; acquisition matrix: 256 × 256 pixels; reconstruction matrix: 256 × 256 pixels)•
Data processing:
• Spatial pre-processing steps (SPM12)
• Statistical analyses: GLM first level → second level
• Behavioural data analysis – correct
recognition/rejection during the recognition run
• Results corroborate the ability of GE2REC to robustly activate a fronto-temporo-parietal language network together with temporal mesial, prefrontal and parietal cortices during memory tasks.
• Activations during recognition may reflect employment of verbal strategy which backs up the difficulty to disentangle language and memory processes
.• The results could suggest that hippocampus connects the language-and-memory network.
• GE2REC is useful because it:
requires interaction of language-and-memory processes and jointly maps their neural basis (Fig.5);
explores encoding and retrieval, managing to elicit activation of mesial temporal structures;
is short and easy to perform, hence being suitable for clinical settings in addition to fundamental research;
has an ecological dimension in terms of tasks;
can be particularly important for patients with temporal lobe epilepsy.
GE2REC protocol and the results
Conclusions
-27 -27
Fig.5: Illustrative overview of the synthesis of results obtained with GE2REC protocol
Sentence generation Recognition OLD Recognition NEW
Recall Encoding
References
[1] Kellermann, T. S., Bonilha, L., Eskandari, R., Garcia-Ramos, C., Lin, J. J., & Hermann, B. P. (2016). Mapping the neuropsychological profile of temporal lobe epilepsy using cognitive network topology and graph theory. Epilepsy &
Behavior, 63, 9–16.
[2] Tracy, J. I., & Boswell, S. B. (2008). Mesial temporal lobe epilepsy: a model for understanding the relationship between language and memory. In B. Stemmer & H. A. Whitaker (Eds.), Handbook of the neuroscience of language (pp. 319–328). Elsevier.
[3] Schuchard, J. & Thompson, C.K. (2014) Implicit and Explicit Learning in Individuals with Agrammatic Aphasia.
Journal of Psycholinguistic Research, 43, 3, 209–24
[4] Mesulam, M. M. (2000). Principles of behavioral and cognitive neurology. Oxford University Press.
[5] Haag, A., & Bonelli, S. (2013). Clinical Application of Language and Memory fMRI in Epilepsy. Epileptologie, 30, 101–108.
RH LH
LH LH RH
sonja.banjac@univ-grenoble-alpes.fr
2. Recognition run
T N C T N …
Rejection NEW
2.5 s 40
Control
2.5 s 40
Null
2.5 s 45
6.8 min
Recognition OLD
2.5 s 40
Task: Click “yes” if you have heard the object in the picture in the first task and “no” if you have not. Or press button as shown in picture. When you see a
cross fixate it.
1. Sentence generation with implicit encoding run
Task
Rest Control Rest Control
Task Task
Rest Control Control
Task
Rest
Task
Control Rest
7.33 min
Rest block
10 s
Generation condition
40 s
8 items per block
Control condition
40 s
8 items per block
Task: Upon hearing a word, covertly generate a sentences with that word and repeat it until the next one. After hearing “mistudan” do nothing. When you
see a cross fixate it.
3. Recall run
Task
Rest Control Rest Control
Task Task
Rest Control Control
Task
Rest
Task
Control Rest
4.2 min
Recall condition
40 s
8 items per block
Rest block 10 s
Task: Upon hearing a word, recall and covertly repeat a sentences you generated in the first task when you heard that same word. When you see a cross fixate it.
5 4 3 2 1 0
Peaks: left hipp., bilateral parahipp., left prefrontal cortices and
middle temporal gyrus
Fig.2: Activated regions for the Encoding - parameter modulation of generation activation with respect to correct recognition vs. baseline (p < .001 uncorr.; k > 5)
LH
Fig.3: Activated regions for the
72.62% (SD = 10.2)
contrast Recognition vs. Control
(p < 0.5 FWE; k > 5)
87.87% (SD = 7.36)
Peaks for overall recognition: bilateral inferior occipito-temporal, left parietal, bilateral hipp.,
left frontal inferior, bilateral SMA and cerebellum
RH LH
A. Recognition of old items
20 15 10 5 0
B. Rejection of new items
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10 8 6 4 2 0
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Fig.1: Activated regions for the contrast Sentence generation vs. Control
(p < .001 uncorr.; k > 10)
Peaks: left inferior frontal, bilateral middle and superior temporal regions, right lobule VI and Crus 1 of the
cerebellum
RH LH
Fig.4: Activated regions for the contrast Recall vs. baseline
(p < .001 uncorr.; k > 10)
Peaks: left frontal inferior, bilateral temporal and left parietal regions and right hipp.
12 10 8 6 4 2 0
RH LH
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