Evidence map›Paper›PMID 26441562›Full record

ArticleFrontiers in systems neuroscience2015

Distinguishing cognitive state with multifractal complexity of hippocampal interspike interval sequences.

Dustin Fetterhoff, Robert A Kraft, Roman A Sandler, Ioan Opris, Cheryl A Sexton, Vasilis Z Marmarelis, Robert E Hampson, Sam A Deadwyler

Abstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Decomposing Multifractal Crossovers.Frontiers in physiology · 2017
    Article
  6. Article
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

8 authors.

Dustin FetterhoffNeuroscience Program, Wake Forest School of Medicine Winston-Salem, NC, USA ; Department of Physiology and Pharmacology, Wake Forest School of Medicine Winston-Salem, NC, USA.
Robert A KraftDepartment of Biomedical Engineering, Wake Forest School of Medicine Winston-Salem, NC, USA.
Roman A SandlerDepartment of Biomedical Engineering, University of Southern California Los Angeles, CA, USA.
Ioan OprisDepartment of Physiology and Pharmacology, Wake Forest School of Medicine Winston-Salem, NC, USA.
Cheryl A SextonDepartment of Biomedical Engineering, Wake Forest School of Medicine Winston-Salem, NC, USA.
Vasilis Z MarmarelisDepartment of Biomedical Engineering, University of Southern California Los Angeles, CA, USA.
Robert E HampsonDepartment of Physiology and Pharmacology, Wake Forest School of Medicine Winston-Salem, NC, USA.
Sam A DeadwylerDepartment of Physiology and Pharmacology, Wake Forest School of Medicine Winston-Salem, NC, USA.

Funding

TROPANE EVALUATION AND GENERAL SCIENTIFIC SERVICES COREP50DA006634 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI PORRINO, LINDA J. · 1991 to 2019
$30.8M
Electrophysiological Assessment of Cannabinois ReceptorsR01DA007625 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DEADWYLER, SAMUEL A. · 1992 to 2012
$3.2M
NIDA NIH HHS P50 DA006634NIDA NIH HHS R01 DA007625
6 · The paper itself

Abstract

Fractality, represented as self-similar repeating patterns, is ubiquitous in nature and the brain. Dynamic patterns of hippocampal spike trains are known to exhibit multifractal properties during working memory processing; however, it is unclear whether the multifractal properties inherent to hippocampal spike trains reflect active cognitive processing. To examine this possibility, hippocampal neuronal ensembles were recorded from rats before, during and after a spatial working memory task following administration of tetrahydrocannabinol (THC), a memory-impairing component of cannabis. Multifractal detrended fluctuation analysis was performed on hippocampal interspike interval sequences to determine characteristics of monofractal long-range temporal correlations (LRTCs), quantified by the Hurst exponent, and the degree/magnitude of multifractal complexity, quantified by the width of the singularity spectrum. Our results demonstrate that multifractal firing patterns of hippocampal spike trains are a marker of functional memory processing, as they are more complex during the working memory task and significantly reduced following administration of memory impairing THC doses. Conversely, LRTCs are largest during resting state recordings, therefore reflecting different information compared to multifractality. In order to deepen conceptual understanding of multifractal complexity and LRTCs, these measures were compared to classical methods using hippocampal frequency content and firing variability measures. These results showed that LRTCs, multifractality, and theta rhythm represent independent processes, while delta rhythm correlated with multifractality. Taken together, these results provide a novel perspective on memory function by demonstrating that the multifractal nature of spike trains reflects hippocampal microcircuit activity that can be used to detect and quantify cognitive, physiological, and pathological states.

Indexed as

delayed nonmatch-to-samplehippocampuslong-range temporal correlationsmultifractal detrended fluctuation analysisresting statetetrahydrocannabinol (THC)working memory

Identifiers

PMID26441562
PMCPMC4585000

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Registered trials

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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.