Decoding naturalistic affective behaviour from spectro-spatial features in multiday human iEEG.
Decoding naturalistic affective behaviour from spectro-spatial features in multiday human iEEG.
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DOI：
10.1038/s41562-022-01310-0
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发表时间：
2022-06
影响因子：
29.9
通讯作者：
Chang, Edward F.
中科院分区：
文献类型：
--
作者：
Bijanzadeh, Maryam;Khambhati, Ankit N.;Desai, Maansi;Wallace, Deanna L.;Shafi, Alia;Dawes, Heather E.;Sturm, Virginia E.;Chang, Edward F.
日常生活中情感行为的神经学基础还没有得到很好的理解。我们从11名癫痫患者的中脑边缘网络中获得了连续的颅内脑电图（iEEG）记录，并从116小时的多日视频记录中获得了手动注释的自发行为。在个体参与者中，二元随机森林模型以高达93%的准确率从中性行为中解码情感行为。积极和消极的情感行为都与中脑边缘网络的高频活动增加和低频活动减少有关。岛叶、杏仁核、海马和前扣带皮层（ACC）对情感行为的贡献比眶额皮层更大，但颞叶和前扣带皮层对区分有可观察情感的行为和没有情感的行为最为关键。在一个参与者的子集（N=3），多类解码器区分积极，消极和中性的行为。这些结果表明，在中脑边缘网络的大脑活动的频谱空间特征与日常生活中的情感行为。
The neurological basis of affective behaviors in everyday life is not well understood. We obtained continuous intracranial electroencephalography (iEEG) recordings from the human mesolimbic network in 11 participants with epilepsy and hand-annotated spontaneous behaviors from 116 hours of multiday video recordings. In individual participants, binary random forest models decoded affective behaviors from neutral behaviors with up to 93% accuracy. Both positive and negative affective behaviors were associated with increased high-frequency and decreased low-frequency activity across the mesolimbic network. Insula, amygdala, hippocampus, and anterior cingulate cortex (ACC) made stronger contributions to affective behaviors than the orbitofrontal cortex, but the insula and ACC were most critical for differentiating behaviors with observable affect from those without. In a subset of participants(N=3), multiclass decoders distinguished among the positive, negative, and neutral behaviors. These results suggest that spectro-spatial features of brain activity in the mesolimbic network are associated with affective behaviors of everyday life.
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DOI：
10.1016/j.cub.2017.03.028
发表时间：
2017-05-08
期刊：
Current biology : CB
影响因子：
--
作者：
Ezzyat Y;Kragel JE;Burke JF;Levy DF;Lyalenko A;Wanda P;O'Sullivan L;Hurley KB;Busygin S;Pedisich I;Sperling MR;Worrell GA;Kucewicz MT;Davis KA;Lucas TH;Inman CS;Lega BC;Jobst BC;Sheth SA;Zaghloul K;Jutras MJ;Stein JM;Das SR;Gorniak R;Rizzuto DS;Kahana MJ
通讯作者：
Kahana MJ
影响因子：
4.3
作者：
Kashihara K
通讯作者：
Kashihara K
影响因子：
9.8
作者：
Kragel, Philip A.;Knodt, Annchen R.;LaBar, Kevin S.
通讯作者：
LaBar, Kevin S.
影响因子：
2.6
作者：
Bickart KC;Dickerson BC;Barrett LF
通讯作者：
Barrett LF
影响因子：
5.7
作者：
Fischl, Bruce
通讯作者：
Fischl, Bruce