Update on temporal lobe‐dependent information processing, in health and disease

Chauvière, Laëtitia

doi:10.1111/ejn.14594

Cited by 18 publications

(17 citation statements)

References 399 publications

(440 reference statements)

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“…Six years ago, Siegle and Wilson's (2014) work showed strong support for phase coding in the hippocampus, using the encoding and retrieval paradigm developed by Hasselmo et al (2002) with theta rhythms. Recognizing the multilayered aspects of theta rhythms—different cholinergic sensitivities, distinct phase relationships with different inhibitory cell types, low and high frequency theta types, different behavioral correlates and information processing, dorsal and ventral differences, heavy dependence on medial septal circuitry interactions (Chauvière, 2020; Colgin, 2013, 2016; Hinman et al, 2018)—our work plants a seed.…”

Section: Discussionmentioning

confidence: 99%

Linking minimal and detailed models of CA1 microcircuits reveals how theta rhythms emerge and their frequencies controlled

2021

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The wide variety of cell types and their biophysical complexities pose a challenge in our ability to understand oscillatory activities produced by cellular‐based computational network models. This challenge stems from their high‐dimensional and multiparametric natures. To overcome this, we implement a solution by linking minimal and detailed models of CA1 microcircuits that generate intrahippocampal (3–12 Hz) theta rhythms. We leverage insights from minimal models to guide explorations of more detailed models and obtain a cellular perspective of theta generation. Our findings distinguish the pyramidal cells as the theta rhythm initiators and reveal that their activity is regularized by the inhibitory cell populations, supporting a proposed hypothesis of an “inhibition‐based tuning” mechanism. We find a strong correlation between input current to the pyramidal cells and the resulting local field potential theta frequency, indicating that intrinsic pyramidal cell properties underpin network frequency characteristics. This work provides a cellular‐based foundation from which in vivo theta activities can be explored.

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Section: Discussionmentioning

confidence: 99%

Linking minimal and detailed models of CA1 microcircuits reveals how theta rhythms emerge and their frequencies controlled

2021

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“…However, VFT only covers limited executive functions, such as word extraction ability, which are not enough to distinguish different psychosis ( 40 ). According to the theory of brain function ( 22 , 41 , 42 ), the frontal lobe is mainly responsible for higher level thinking, and the temporal lobe is responsible for cognition and information processing. The frontal lobe has a stronger cognitive function than the temporal lobe.…”

Section: Discussionmentioning

confidence: 99%

fNIRS Evaluation of Frontal and Temporal Cortex Activation by Verbal Fluency Task and High-Level Cognition Task for Detecting Anxiety and Depression

et al. 2021

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Anxiety and depression are widespread psychosis which are believed to affect cerebral metabolism, especially in frontal and temporal cortex. The comorbidity patients of anxiety and depression (A&D) have more serious clinical symptoms. Functional near-infrared spectroscopy (fNIRS) is a noninvasive modality used to monitor human brain oxygenation, and it could be considered as a potential tool to detect psychosis which may lead to abnormal cerebral oxygen status when the brain is activated. However, how sensitive the cerebral oxygenation response to the cortex activation and whether these responses are consistent at different stages of A&D or different regions still remains unclear. In this study, a conventional physiological paradigm for cortex activation, i.e., verbal fluency task (VFT), and a relatively new paradigm, i.e., high-level cognition task (HCT), were compared to detect A&D through a longitudinal measurement of cerebral oxygen status by fNIRS. The A&D patients at the acute, consolidation and maintenance stages as well as the healthy subjects participated in the VFT and HCT paradigms, respectively. For the VTF paradigm, the subject was instructed to answer questions of phrase constructions within 60 s. For the HCT paradigm, the subject was instructed to categorize items, logical reasoning, and comprehensive judgment and write down the answers within 60 s. For most of the subjects, the oxy-Hb is found to increase remarkably, accompanied with a relatively small reduction in deoxy-Hb when subject to both paradigms. The statistical analyses show a relatively large variability within any group, leading to the significant difference that was only found between A&D at the acute stage and healthy subjects in the temporal lobe region (p < 0.001). Nevertheless, HCT would activate more oxygen increment when compared with the VFT, with a large integral value in oxy-Hb. On average, the oxy-Hb integral value of the A&D patients differs substantially at different stages when subject to HCT paradigm. Moreover, the prefrontal lobe and temporal lobe responses were more consistent to the HCT paradigm rather than the VFT paradigm. Under the VFT paradigm, however, no remarkable difference in integral value was found among the three stages, either at the prefrontal lobe or at the temporal lobe. This study indicated that HCT, which is intensively involved in brain function, would activate more oxygenation changes in the cerebral cortex. Additionally, with good performance at distinguishing different stages according to the oxy-Hb criterion, the HCT has the potential to evaluate the therapeutic effects for A&D patients.

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“…Six years ago, Siegle and Wilson’s work ( Siegle and Wilson, 2014 ) showed strong support for phase coding in the hippocampus, using the encoding and retrieval paradigm developed by Hasselmo ( Hasselmo et al, 2002 ) with theta rhythms. Recognizing the multi-layered aspects of theta rhythms - different cholinergic sensitivities, distinct phase relationships with different inhibitory cell types, low and high frequency theta types, different behavioural correlates and information processing, dorsal and ventral differences, heavy dependence on medial septal circuitry interactions ( Chauvière, 2020 ; Colgin, 2013, 2016 ; Hinman et al, 2018 ) - our work plants a seed.…”

Section: Discussionmentioning

confidence: 99%

Linking minimal and detailed models of CA1 microcircuits reveals how theta rhythms emerge and how their frequencies are controlled

Chatzikalymniou

Gumus

Lunyov

et al. 2020

Preprint

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The wide variety of cell types and their inherent biophysical complexities pose a challenge to our understanding of oscillatory activities produced by cellular-based computational models. This challenge stems from the high-dimensional and multi-parametric nature of these systems. To overcome this issue, we implement systematic comparisons of minimal and detailed models of CA1 microcircuits that generate intra-hippocampal theta rhythms (3-12 Hz). We leverage insights from minimal models to guide detailed model explorations and obtain a cellular perspective of theta generation. Our findings distinguish the pyramidal cells as the theta rhythm initiators and reveal that their activity is regularized by the inhibitory cell populations, supporting an ‘inhibition-based tuning’ mechanism. We find a strong correlation between the pyramidal cell input current and the resulting LFP theta frequency, establishing that the intrinsic pyramidal cell properties underpin network frequency characteristics. This work provides a cellular-based foundation from which in vivo theta activities can be explored.

show abstract

Update on temporal lobe‐dependent information processing, in health and disease

Cited by 18 publications

References 399 publications

Linking minimal and detailed models of CA1 microcircuits reveals how theta rhythms emerge and their frequencies controlled

Linking minimal and detailed models of CA1 microcircuits reveals how theta rhythms emerge and their frequencies controlled

fNIRS Evaluation of Frontal and Temporal Cortex Activation by Verbal Fluency Task and High-Level Cognition Task for Detecting Anxiety and Depression

Linking minimal and detailed models of CA1 microcircuits reveals how theta rhythms emerge and how their frequencies are controlled

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