Evidence map›Paper›PMID 34566725›Full record

ArticleFrontiers in psychiatry2021

Case Report: Changes in Regional Cerebral Blood Flow in Chronic Akathisia of a Depressed Patient Before and After Electroconvulsive Therapy Treatment.

Akihito Suzuki, Ryota Kobayashi, Toshinori Shirata, Hitomi Komoriya, Masafumi Kanoto, Koichi Otani

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Akihito SuzukiDepartment of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan.
Ryota KobayashiDepartment of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan.
Toshinori ShirataDepartment of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan.
Hitomi KomoriyaDepartment of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan.
Masafumi KanotoDepartment of Diagnostic Radiology, Yamagata University Faculty of Medicine, Yamagata, Japan.
Koichi OtaniDepartment of Psychiatry, Yamagata University School of Medicine, Yamagata, Japan.
Yamagata University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Akathisia, which characterized by subjective restlessness and objective hyperactivity, is induced mostly by antipsychotics and antidepressants. Chronic akathisia is defined as persistence of symptoms for more than 3 months. The pathophysiology of chronic akathisia remains unclear. This report describes a depressed patient, a 66-year-old woman with a diagnosis of major depressive disorder, with chronic akathisia. Her regional cerebral blood flow (rCBF) was measured using single photon emission computed tomography (SPECT) before and after the treatment with electroconvulsive therapy (ECT). She had experienced akathisia-like symptoms three times prior because of risperidone, escitalopram, and clomipramine administration, accompanied by major depression. After levomepromazine was added to quetiapine to treat insomnia, she developed akathisia symptoms such as a sense of restlessness and inability to sit in one place for a few minutes. These antipsychotics were withdrawn. Propranolol was administered, leading to no apparent improvement for 8 months. After she was diagnosed as having major depressive disorder and chronic akathisia, she received 10 sessions of bilateral ECT. Her depressive symptoms improved greatly. Akathisia disappeared completely after ECT. SPECT revealed that rCBF was decreased in the middle frontal gyrus and parietal lobe, that it was increased in the thalamus, fusiform gyrus, and cerebellum before ECT, and that these abnormalities in rCBF were approaching normal levels after ECT. Findings presented in this report suggest ECT as a beneficial treatment for chronic akathisia. Altered rCBF in the middle frontal gyrus, parietal lobe, thalamus, fusiform gyrus, and cerebellum, and especially decreased rCBF in the parietal lobe, may be related to the pathophysiology of chronic akathisia.

Indexed as

chronic akathisiadepressive disorderelectroconvulsive therapy (ECT)regional cerebral blood flowSPECT

Identifiers

PMID34566725
PMCPMC8460752
OpenAlexW3200324959

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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.