Evidence map›Paper›PMID 34687490›Full record

ArticleHuman brain mapping2022

Right medial temporal lobe structures particularly impact early stages of affective picture processing.

Malena Mielke, Lea Marie Reisch, Alexandra Mehlmann, Sebastian Schindler, Christian G Bien, Johanna Kissler

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Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Malena MielkeDepartment of Psychology, Bielefeld University, Bielefeld, Germany.ORCID 0000-0002-2921-4622
Lea Marie ReischDepartment of Psychology, Bielefeld University, Bielefeld, Germany.ORCID 0000-0001-9994-0016
Alexandra MehlmannDepartment of Psychology, Bielefeld University, Bielefeld, Germany.
Sebastian SchindlerInstitute of Medical Psychology and Systems Neuroscience, University of Münster, Münster, Germany.ORCID 0000-0002-7054-5431
Christian G BienMedical School, Department of Epileptology (Krankenhaus Mara), Bielefeld University, Bielefeld, Germany.
Johanna KisslerDepartment of Psychology, Bielefeld University, Bielefeld, Germany.ORCID 0000-0002-4567-1997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human vision prioritizes emotional stimuli. This is reflected in stronger electrocortical activation in response to emotional than neutral stimuli, measurable on the surface of the head. Feedback projections from brain structures deep within the medial temporal lobes (mTLs), in particular the amygdala, are thought to give rise to this phenomenon, although causal evidence is rare. Given the many pathways involved in visual processing, the influence of mTL structures could be restricted to specific time windows. Therefore, we delineate the temporal dynamics of the impact of right mTL structures on affective picture processing, investigating event-related potentials (ERPs) in 19 patients (10 female) with right mTL resections and 19 individually matched healthy participants, while they viewed negative and neutral scenes. Groups differed significantly at early- and mid-latency processing stages. Patients with right mTL resection, unlike controls, showed no (P1: 90-140 ms) or marginal (N1: 170-220 ms) emotion modulation. At mid-latency (early posterior negativity: 220-370 ms), emotion modulation over the ipsi-resectional right hemisphere was smaller in patients than in controls, but groups did not differ over the left hemisphere. During late parietal positivities (400-650 ms and 650-900 ms), both groups had similar emotion modulation. Our results demonstrate that right mTL structures attenuate particularly early processing of affectively negative scenes. This is theoretically consistent with an initial amygdala-dependent feedforward sweep in visual emotion processing whose absence is successively compensated. Findings specify the impact of right mTL structures on emotional picture processing and highlight the value of time-resolved measures in affective neuroscience.

Indexed as

Brain MappingElectroencephalographyAdultAffectEvoked PotentialsFemaleHumansMalePattern Recognition, VisualTemporal LobeTime FactorsYoung Adult

Identifiers

PMID34687490
PMCPMC8720182

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.